[8.x] [ES|QL] Enhances the inline documentation experience (#192156) (#193444)

# Backport This will backport the following commits from `main` to `8.x`: - [[ES|QL] Enhances the inline documentation experience (#192156)](https://github.com/elastic/kibana/pull/192156)  ### Questions ? Please refer to the [Backport tool documentation](https://github.com/sqren/backport)  Co-authored-by: Stratoula Kalafateli <efstratia.kalafateli@elastic.co>
2025-04-24 09:48:58 -04:00 · 2024-09-20 02:38:58 +10:00 · 2024-09-20 02:38:58 +10:00 · c5ff79a1a5
commit c5ff79a1a5
parent b2e6263d94
41 changed files with 2199 additions and 1850 deletions
--- a/.buildkite/scripts/steps/esql_generate_function_metadata.sh
+++ b/.buildkite/scripts/steps/esql_generate_function_metadata.sh
@ -2,7 +2,7 @@
 set -euo pipefail

 VALIDATION_PACKAGE_DIR="packages/kbn-esql-validation-autocomplete"
-EDITOR_PACKAGE_DIR="packages/kbn-text-based-editor"
+EDITOR_PACKAGE_DIR="packages/kbn-language-documentation-popover"
 GIT_SCOPE="$VALIDATION_PACKAGE_DIR/**/* $EDITOR_PACKAGE_DIR/**/*"

 report_main_step () {
--- a/packages/kbn-language-documentation-popover/index.ts
+++ b/packages/kbn-language-documentation-popover/index.ts
@ -6,7 +6,8 @@
 * your election, the "Elastic License 2.0", the "GNU Affero General Public
 * License v3.0 only", or the "Server Side Public License, v 1".
 */
-
-export { LanguageDocumentationPopover } from './src/components/documentation_popover';
-export { LanguageDocumentationPopoverContent } from './src/components/documentation_content';
-export type { LanguageDocumentationSections } from './src/components/documentation_content';
+export { LanguageDocumentationPopover } from './src/components/as_popover';
+export { LanguageDocumentationPopoverContent } from './src/components/as_popover/popover_content';
+export { LanguageDocumentationFlyout } from './src/components/as_flyout';
+export { LanguageDocumentationInline } from './src/components/as_inline';
+export type { LanguageDocumentationSections } from './src/types';
--- a/packages/kbn-language-documentation-popover/package.json
+++ b/packages/kbn-language-documentation-popover/package.json
@ -5,5 +5,10 @@
  "private": true,
  "sideEffects": [
    "*.scss"
-  ]
-}
+  ],
+  "scripts": {
+    "make:docs": "ts-node --transpileOnly scripts/generate_esql_docs.ts",
+    "postmake:docs": "yarn run lint:fix",
+    "lint:fix": "cd ../.. && node ./scripts/eslint --fix ./packages/kbn-language-documentation-popover/src/sections/generated"
+  }
+}
--- a/packages/kbn-language-documentation-popover/scripts/generate_esql_docs.ts
+++ b/packages/kbn-language-documentation-popover/scripts/generate_esql_docs.ts
@ -11,18 +11,18 @@ import * as recast from 'recast';
 const n = recast.types.namedTypes;
 import fs from 'fs';
 import path from 'path';
-import { functions } from '../src/inline_documentation/generated/scalar_functions';
+import { functions } from '../src/sections/generated/scalar_functions';

 (function () {
  const pathToElasticsearch = process.argv[2];
  const { scalarFunctions, aggregationFunctions } = loadFunctionDocs(pathToElasticsearch);
  writeFunctionDocs(
    scalarFunctions,
-    path.join(__dirname, '../src/inline_documentation/generated/scalar_functions.tsx')
+    path.join(__dirname, '../src/sections/generated/scalar_functions.tsx')
  );
  writeFunctionDocs(
    aggregationFunctions,
-    path.join(__dirname, '../src/inline_documentation/generated/aggregation_functions.tsx')
+    path.join(__dirname, '../src/sections/generated/aggregation_functions.tsx')
  );
 })();

@ -86,7 +86,7 @@ function writeFunctionDocs(functionDocs: Map<string, string>, pathToDocsFile: st
  // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
  {
    label: i18n.translate(
-      'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.${name}',
+      'languageDocumentationPopover.documentationESQL.${name}',
      {
        defaultMessage: '${name.toUpperCase()}',
      }
@ -97,7 +97,7 @@ function writeFunctionDocs(functionDocs: Map<string, string>, pathToDocsFile: st
        readOnly
        enableSoftLineBreaks
        markdownContent={i18n.translate(
-          'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.${name}.markdown',
+          'languageDocumentationPopover.documentationESQL.${name}.markdown',
          {
            defaultMessage: \`${docWithoutLinks.replaceAll('`', '\\`')}\`,
            description:
--- a/packages/kbn-language-documentation-popover/setup_tests.ts
+++ b/packages/kbn-language-documentation-popover/setup_tests.ts
@ -0,0 +1,11 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+
+// eslint-disable-next-line import/no-extraneous-dependencies
+import '@testing-library/jest-dom';
--- a/packages/kbn-language-documentation-popover/src/stories/language_documentation_popover.stories.tsx
+++ b/packages/kbn-language-documentation-popover/src/stories/language_documentation_popover.stories.tsx
@ -9,7 +9,7 @@

 import React from 'react';
 import { storiesOf } from '@storybook/react';
-import { LanguageDocumentationPopover } from '../components/documentation_popover';
+import { LanguageDocumentationPopover } from '../components/as_popover';

 const sections = {
  groups: [
--- a/packages/kbn-language-documentation-popover/src/components/as_flyout/index.test.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_flyout/index.test.tsx
@ -0,0 +1,95 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+
+import React from 'react';
+import { screen, render, fireEvent, waitFor } from '@testing-library/react';
+import { LanguageDocumentationFlyout } from '.';
+
+jest.mock('../../sections', () => {
+  const module = jest.requireActual('../../sections');
+  return {
+    ...module,
+    getESQLDocsSections: () => ({
+      groups: [
+        {
+          label: 'Section one',
+          description: 'Section 1 description',
+          items: [],
+        },
+        {
+          label: 'Section two',
+          items: [
+            {
+              label: 'Section two item 1',
+              description: 'Section two item 1 description',
+            },
+            {
+              label: 'Section two item 2',
+              description: 'Section two item 2 description',
+            },
+          ],
+        },
+        {
+          label: 'Section three',
+          items: [
+            {
+              label: 'Section three item 1',
+              description: 'Section three item 1 description',
+            },
+            {
+              label: 'Section three item 2',
+              description: 'Section three item 2 description',
+            },
+          ],
+        },
+      ],
+      initialSection: <span>Here is the initial section</span>,
+    }),
+  };
+});
+
+describe('###Documentation flyout component', () => {
+  const renderFlyout = (linkToDocumentation?: string) => {
+    return render(
+      <LanguageDocumentationFlyout
+        isHelpMenuOpen={true}
+        onHelpMenuVisibilityChange={jest.fn()}
+        linkToDocumentation={linkToDocumentation}
+      />
+    );
+  };
+  it('has a header element for navigation through the sections', () => {
+    renderFlyout();
+    expect(screen.getByTestId('language-documentation-navigation-search')).toBeInTheDocument();
+    expect(screen.getByTestId('language-documentation-navigation-dropdown')).toBeInTheDocument();
+    expect(screen.queryByTestId('language-documentation-navigation-link')).not.toBeInTheDocument();
+  });
+
+  it('has a link if linkToDocumentation prop is given', () => {
+    renderFlyout('meow');
+    expect(screen.getByTestId('language-documentation-navigation-link')).toBeInTheDocument();
+  });
+
+  it('contains the two last sections', async () => {
+    renderFlyout();
+    await waitFor(() => {
+      expect(screen.getByText('Section two')).toBeInTheDocument();
+      expect(screen.getByText('Section three')).toBeInTheDocument();
+    });
+  });
+
+  it('contains the correct section if user updates the search input', async () => {
+    renderFlyout();
+    const input = screen.getByTestId('language-documentation-navigation-search');
+    fireEvent.change(input, { target: { value: 'two' } });
+    await waitFor(() => {
+      expect(screen.getByText('Section two')).toBeInTheDocument();
+    });
+  });
+});
--- a/packages/kbn-language-documentation-popover/src/components/as_flyout/index.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_flyout/index.tsx
@ -0,0 +1,117 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import React, { useCallback, useEffect, useState, useRef, useMemo } from 'react';
+import {
+  EuiFlyout,
+  useEuiTheme,
+  EuiFlyoutBody,
+  EuiFlyoutHeader,
+  EuiTitle,
+  EuiSpacer,
+} from '@elastic/eui';
+import { i18n } from '@kbn/i18n';
+import { getFilteredGroups } from '../../utils/get_filtered_groups';
+import { DocumentationMainContent, DocumentationNavigation } from '../shared';
+import { getESQLDocsSections } from '../../sections';
+import type { LanguageDocumentationSections } from '../../types';
+
+interface DocumentationFlyoutProps {
+  isHelpMenuOpen: boolean;
+  onHelpMenuVisibilityChange: (status: boolean) => void;
+  searchInDescription?: boolean;
+  linkToDocumentation?: string;
+}
+
+function DocumentationFlyout({
+  searchInDescription,
+  linkToDocumentation,
+  isHelpMenuOpen,
+  onHelpMenuVisibilityChange,
+}: DocumentationFlyoutProps) {
+  const [documentationSections, setDocumentationSections] =
+    useState<LanguageDocumentationSections>();
+
+  const { euiTheme } = useEuiTheme();
+  const DEFAULT_WIDTH = euiTheme.base * 34;
+
+  const [selectedSection, setSelectedSection] = useState<string | undefined>();
+  const [searchText, setSearchText] = useState('');
+
+  const scrollTargets = useRef<Record<string, HTMLElement>>({});
+
+  const onNavigationChange = useCallback((selectedOptions) => {
+    setSelectedSection(selectedOptions.length ? selectedOptions[0].label : undefined);
+    if (selectedOptions.length) {
+      const scrollToElement = scrollTargets.current[selectedOptions[0].label];
+      scrollToElement.scrollIntoView();
+    }
+  }, []);
+
+  useEffect(() => {
+    onHelpMenuVisibilityChange(isHelpMenuOpen ?? false);
+  }, [isHelpMenuOpen, onHelpMenuVisibilityChange]);
+
+  useEffect(() => {
+    async function getDocumentation() {
+      const sections = await getESQLDocsSections();
+      setDocumentationSections(sections);
+    }
+    if (!documentationSections) {
+      getDocumentation();
+    }
+  }, [documentationSections]);
+
+  const filteredGroups = useMemo(() => {
+    return getFilteredGroups(searchText, searchInDescription, documentationSections, 1);
+  }, [documentationSections, searchText, searchInDescription]);
+
+  return (
+    <>
+      {isHelpMenuOpen && (
+        <EuiFlyout
+          ownFocus
+          onClose={() => onHelpMenuVisibilityChange(false)}
+          aria-labelledby="esqlInlineDocumentationFlyout"
+          type="push"
+          size={DEFAULT_WIDTH}
+          paddingSize="m"
+        >
+          <EuiFlyoutHeader hasBorder>
+            <EuiTitle size="s">
+              <h3>
+                {i18n.translate('languageDocumentationPopover.documentationFlyoutTitle', {
+                  defaultMessage: 'ES|QL quick reference',
+                })}
+              </h3>
+            </EuiTitle>
+            <EuiSpacer size="m" />
+            <DocumentationNavigation
+              searchText={searchText}
+              setSearchText={setSearchText}
+              onNavigationChange={onNavigationChange}
+              filteredGroups={filteredGroups}
+              linkToDocumentation={linkToDocumentation}
+              selectedSection={selectedSection}
+            />
+          </EuiFlyoutHeader>
+          <EuiFlyoutBody>
+            <DocumentationMainContent
+              searchText={searchText}
+              scrollTargets={scrollTargets}
+              filteredGroups={filteredGroups}
+              sections={documentationSections}
+            />
+          </EuiFlyoutBody>
+        </EuiFlyout>
+      )}
+    </>
+  );
+}
+
+export const LanguageDocumentationFlyout = React.memo(DocumentationFlyout);
--- a/packages/kbn-language-documentation-popover/src/components/as_inline/index.test.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_inline/index.test.tsx
@ -0,0 +1,97 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+
+import React from 'react';
+import { screen, render, fireEvent, waitFor } from '@testing-library/react';
+import { Markdown } from '@kbn/shared-ux-markdown';
+import { LanguageDocumentationInline } from '.';
+
+const mockMarkDownDescription = () => (
+  <Markdown markdownContent="Section three item 1 blah blah blah" />
+);
+
+jest.mock('../../sections', () => {
+  const module = jest.requireActual('../../sections');
+  return {
+    ...module,
+    getESQLDocsSections: () => ({
+      groups: [
+        {
+          label: 'Section one',
+          description: 'Section 1 description',
+          items: [],
+        },
+        {
+          label: 'Section two',
+          items: [
+            {
+              label: 'Section two item 1',
+              description: 'Section two item 1 description',
+            },
+            {
+              label: 'Section two item 2',
+              description: 'Section two item 2 description',
+            },
+          ],
+        },
+        {
+          label: 'Section three',
+          items: [
+            {
+              label: 'Section three item 1',
+              description: mockMarkDownDescription(),
+            },
+            {
+              label: 'Section three item 2',
+              description: 'Section three item 2 description',
+            },
+          ],
+        },
+      ],
+      initialSection: <span>Here is the initial section</span>,
+    }),
+  };
+});
+
+describe('###Documentation flyout component', () => {
+  const renderInlineComponent = (searchInDescription = false) => {
+    return render(<LanguageDocumentationInline searchInDescription={searchInDescription} />);
+  };
+  it('has a header element for navigation through the sections', () => {
+    renderInlineComponent();
+    expect(screen.getByTestId('language-documentation-navigation-search')).toBeInTheDocument();
+    expect(screen.getByTestId('language-documentation-navigation-dropdown')).toBeInTheDocument();
+  });
+
+  it('contains the two last sections', async () => {
+    renderInlineComponent();
+    await waitFor(() => {
+      expect(screen.getByText('Section two')).toBeInTheDocument();
+      expect(screen.getByText('Section three')).toBeInTheDocument();
+    });
+  });
+
+  it('contains the correct section if user updates the search input', async () => {
+    renderInlineComponent();
+    const input = screen.getByTestId('language-documentation-navigation-search');
+    fireEvent.change(input, { target: { value: 'two' } });
+    await waitFor(() => {
+      expect(screen.getByText('Section two')).toBeInTheDocument();
+    });
+  });
+
+  it('contains the correct section if user updates the search input with a text that exist in the description', async () => {
+    renderInlineComponent(true);
+    const input = screen.getByTestId('language-documentation-navigation-search');
+    fireEvent.change(input, { target: { value: 'blah' } });
+    await waitFor(() => {
+      expect(screen.getByText('Section three')).toBeInTheDocument();
+    });
+  });
+});
--- a/packages/kbn-language-documentation-popover/src/components/as_inline/index.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_inline/index.tsx
@ -0,0 +1,82 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import React, { useCallback, useState, useRef, useMemo, useEffect } from 'react';
+import { css } from '@emotion/react';
+import { useEuiTheme, euiScrollBarStyles, EuiSpacer } from '@elastic/eui';
+import { getFilteredGroups } from '../../utils/get_filtered_groups';
+import { DocumentationMainContent, DocumentationNavigation } from '../shared';
+import type { LanguageDocumentationSections } from '../../types';
+import { getESQLDocsSections } from '../../sections';
+
+interface DocumentationInlineProps {
+  searchInDescription?: boolean;
+}
+
+const MAX_HEIGHT = 250;
+
+function DocumentationInline({ searchInDescription }: DocumentationInlineProps) {
+  const theme = useEuiTheme();
+  const [documentationSections, setDocumentationSections] =
+    useState<LanguageDocumentationSections>();
+  const scrollBarStyles = euiScrollBarStyles(theme);
+  const [selectedSection, setSelectedSection] = useState<string | undefined>();
+  const [searchText, setSearchText] = useState('');
+
+  const scrollTargets = useRef<Record<string, HTMLElement>>({});
+
+  useEffect(() => {
+    async function getDocumentation() {
+      const sections = await getESQLDocsSections();
+      setDocumentationSections(sections);
+    }
+    if (!documentationSections) {
+      getDocumentation();
+    }
+  }, [documentationSections]);
+
+  const filteredGroups = useMemo(() => {
+    return getFilteredGroups(searchText, searchInDescription, documentationSections, 1);
+  }, [documentationSections, searchText, searchInDescription]);
+
+  const onNavigationChange = useCallback((selectedOptions) => {
+    setSelectedSection(selectedOptions.length ? selectedOptions[0].label : undefined);
+    if (selectedOptions.length) {
+      const scrollToElement = scrollTargets.current[selectedOptions[0].label];
+      scrollToElement.scrollIntoView();
+    }
+  }, []);
+
+  return (
+    <div
+      css={css`
+        padding: ${theme.euiTheme.size.base};
+        max-height: ${MAX_HEIGHT}px;
+        overflow-y: auto;
+        ${scrollBarStyles}
+      `}
+    >
+      <DocumentationNavigation
+        searchText={searchText}
+        setSearchText={setSearchText}
+        onNavigationChange={onNavigationChange}
+        filteredGroups={filteredGroups}
+        selectedSection={selectedSection}
+      />
+      <EuiSpacer size="s" />
+      <DocumentationMainContent
+        searchText={searchText}
+        scrollTargets={scrollTargets}
+        filteredGroups={filteredGroups}
+        sections={documentationSections}
+      />
+    </div>
+  );
+}
+
+export const LanguageDocumentationInline = React.memo(DocumentationInline);
--- a/packages/kbn-language-documentation-popover/src/components/as_popover/documentation.scss
+++ b/packages/kbn-language-documentation-popover/src/components/as_popover/documentation.scss
--- a/packages/kbn-language-documentation-popover/src/components/documentation_popover.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/documentation_popover.tsx
@ -16,10 +16,8 @@ import {
  EuiButtonIconProps,
  EuiOutsideClickDetector,
 } from '@elastic/eui';
-import {
-  type LanguageDocumentationSections,
-  LanguageDocumentationPopoverContent,
-} from './documentation_content';
+import { LanguageDocumentationPopoverContent } from './popover_content';
+import type { LanguageDocumentationSections } from '../../types';

 interface DocumentationPopoverProps {
  language: string;
--- a/packages/kbn-language-documentation-popover/src/components/as_popover/popover_content.test.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_popover/popover_content.test.tsx
@ -11,7 +11,7 @@ import React from 'react';
 import { mountWithIntl, findTestSubject } from '@kbn/test-jest-helpers';
 import { act } from 'react-dom/test-utils';
 import { Markdown } from '@kbn/shared-ux-markdown';
-import { LanguageDocumentationPopoverContent } from './documentation_content';
+import { LanguageDocumentationPopoverContent } from './popover_content';

 describe('###Documentation popover content', () => {
  const sections = {
--- a/packages/kbn-language-documentation-popover/src/components/as_popover/popover_content.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/as_popover/popover_content.tsx
@ -6,8 +6,7 @@
 * your election, the "Elastic License 2.0", the "GNU Affero General Public
 * License v3.0 only", or the "Server Side Public License, v 1".
 */
-
-import React, { useEffect, useRef, useState } from 'react';
+import React, { useEffect, useRef, useState, useMemo } from 'react';
 import { i18n } from '@kbn/i18n';
 import {
  EuiFlexGroup,
@ -22,19 +21,11 @@ import {
  EuiSpacer,
  EuiLink,
 } from '@elastic/eui';
-import { elementToString } from '../utils/element_to_string';
+import { getFilteredGroups } from '../../utils/get_filtered_groups';
+import type { LanguageDocumentationSections } from '../../types';

 import './documentation.scss';

-export interface LanguageDocumentationSections {
-  groups: Array<{
-    label: string;
-    description?: string;
-    items: Array<{ label: string; description?: JSX.Element }>;
-  }>;
-  initialSection: JSX.Element;
-}
-
 interface DocumentationProps {
  language: string;
  sections?: LanguageDocumentationSections;
@ -61,29 +52,9 @@ function DocumentationContent({

  const [searchText, setSearchText] = useState('');

-  const normalizedSearchText = searchText.trim().toLocaleLowerCase();
-
-  const filteredGroups = sections?.groups
-    .map((group) => {
-      const items = group.items.filter((helpItem) => {
-        return (
-          !normalizedSearchText ||
-          helpItem.label.toLocaleLowerCase().includes(normalizedSearchText) ||
-          // Converting the JSX element to a string first
-          (searchInDescription &&
-            elementToString(helpItem.description)
-              ?.toLocaleLowerCase()
-              .includes(normalizedSearchText))
-        );
-      });
-      return { ...group, items };
-    })
-    .filter((group) => {
-      if (group.items.length > 0 || !normalizedSearchText) {
-        return true;
-      }
-      return group.label.toLocaleLowerCase().includes(normalizedSearchText);
-    });
+  const filteredGroups = useMemo(() => {
+    return getFilteredGroups(searchText, searchInDescription, sections);
+  }, [sections, searchText, searchInDescription]);

  return (
    <>
@ -158,12 +129,12 @@ function DocumentationContent({
                      </h6>
                    </EuiTitle>

-                    {helpGroup.items.length ? (
+                    {helpGroup.options.length ? (
                      <>
                        <EuiSpacer size="s" />

                        <EuiListGroup gutterSize="none">
-                          {helpGroup.items.map((helpItem) => {
+                          {helpGroup.options.map((helpItem) => {
                            return (
                              <EuiListGroupItem
                                key={helpItem.label}
--- a/packages/kbn-language-documentation-popover/src/components/shared/documentation_content.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/shared/documentation_content.tsx
@ -0,0 +1,82 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import React from 'react';
+import { EuiFlexGroup, EuiText } from '@elastic/eui';
+import type { LanguageDocumentationSections } from '../../types';
+
+interface DocumentationContentProps {
+  searchText: string;
+  scrollTargets: React.MutableRefObject<{ [key: string]: HTMLElement }>;
+  filteredGroups?: Array<{
+    label: string;
+    description?: string;
+    options: Array<{ label: string; description?: JSX.Element | undefined }>;
+  }>;
+  sections?: LanguageDocumentationSections;
+}
+
+function DocumentationContent({
+  searchText,
+  scrollTargets,
+  filteredGroups,
+  sections,
+}: DocumentationContentProps) {
+  return (
+    <>
+      <EuiFlexGroup gutterSize="none" responsive={false} direction="column">
+        <EuiText size="s">
+          {!searchText && (
+            <section
+              ref={(el) => {
+                if (el && sections?.groups?.length) {
+                  scrollTargets.current[sections.groups[0].label] = el;
+                }
+              }}
+            >
+              {sections?.initialSection}
+            </section>
+          )}
+          {filteredGroups?.map((helpGroup, index) => {
+            return (
+              <section
+                key={helpGroup.label}
+                ref={(el) => {
+                  if (el) {
+                    scrollTargets.current[helpGroup.label] = el;
+                  }
+                }}
+              >
+                <h2>{helpGroup.label}</h2>
+
+                <p>{helpGroup.description}</p>
+
+                {filteredGroups?.[index].options.map((helpItem) => {
+                  return (
+                    <article
+                      key={helpItem.label}
+                      ref={(el) => {
+                        if (el) {
+                          scrollTargets.current[helpItem.label] = el;
+                        }
+                      }}
+                    >
+                      {helpItem.description}
+                    </article>
+                  );
+                })}
+              </section>
+            );
+          })}
+        </EuiText>
+      </EuiFlexGroup>
+    </>
+  );
+}
+
+export const DocumentationMainContent = React.memo(DocumentationContent);
--- a/packages/kbn-language-documentation-popover/src/components/shared/documentation_navigation.tsx
+++ b/packages/kbn-language-documentation-popover/src/components/shared/documentation_navigation.tsx
@ -0,0 +1,109 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import React from 'react';
+import { css } from '@emotion/react';
+import {
+  EuiFlexItem,
+  EuiFlexGroup,
+  EuiFormRow,
+  EuiLink,
+  EuiText,
+  useEuiTheme,
+  EuiFieldSearch,
+  EuiComboBox,
+} from '@elastic/eui';
+import { i18n } from '@kbn/i18n';
+
+interface DocumentationNavProps {
+  searchText: string;
+  setSearchText: (text: string) => void;
+  onNavigationChange: (selectedOptions: Array<{ label: string }>) => void;
+  filteredGroups?: Array<{ label: string }>;
+  linkToDocumentation?: string;
+  selectedSection?: string;
+}
+
+function DocumentationNav({
+  searchText,
+  setSearchText,
+  onNavigationChange,
+  filteredGroups,
+  linkToDocumentation,
+  selectedSection,
+}: DocumentationNavProps) {
+  const { euiTheme } = useEuiTheme();
+
+  return (
+    <>
+      <EuiFlexGroup gutterSize="none" responsive={false} direction="column">
+        <EuiFlexItem grow={true}>
+          <EuiFormRow
+            fullWidth
+            label={i18n.translate('languageDocumentationPopover.esqlDocsLabel', {
+              defaultMessage: 'Select or search topics',
+            })}
+            labelAppend={
+              linkToDocumentation && (
+                <EuiText size="xs">
+                  <EuiLink
+                    external
+                    href={linkToDocumentation}
+                    target="_blank"
+                    data-test-subj="language-documentation-navigation-link"
+                  >
+                    {i18n.translate('languageDocumentationPopover.esqlDocsLinkLabel', {
+                      defaultMessage: 'View full ES|QL documentation',
+                    })}
+                  </EuiLink>
+                </EuiText>
+              )
+            }
+          >
+            <EuiComboBox
+              aria-label={i18n.translate('languageDocumentationPopover.navigationAriaLabel', {
+                defaultMessage: 'Navigate through the documentation',
+              })}
+              placeholder={i18n.translate('languageDocumentationPopover.navigationPlaceholder', {
+                defaultMessage: 'Commands and functions',
+              })}
+              data-test-subj="language-documentation-navigation-dropdown"
+              options={filteredGroups}
+              selectedOptions={selectedSection ? [{ label: selectedSection }] : []}
+              singleSelection={{ asPlainText: true }}
+              onChange={onNavigationChange}
+              compressed
+              fullWidth
+            />
+          </EuiFormRow>
+        </EuiFlexItem>
+        <EuiFlexItem
+          grow={false}
+          css={css`
+            padding: ${euiTheme.size.s} 0;
+          `}
+        >
+          <EuiFieldSearch
+            value={searchText}
+            onChange={(e) => {
+              setSearchText(e.target.value);
+            }}
+            data-test-subj="language-documentation-navigation-search"
+            placeholder={i18n.translate('languageDocumentationPopover.searchPlaceholder', {
+              defaultMessage: 'Search',
+            })}
+            fullWidth
+            compressed
+          />
+        </EuiFlexItem>
+      </EuiFlexGroup>
+    </>
+  );
+}
+
+export const DocumentationNavigation = React.memo(DocumentationNav);
--- a/packages/kbn-language-documentation-popover/src/components/shared/index.ts
+++ b/packages/kbn-language-documentation-popover/src/components/shared/index.ts
@ -0,0 +1,11 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+
+export { DocumentationNavigation } from './documentation_navigation';
+export { DocumentationMainContent } from './documentation_content';
--- a/packages/kbn-language-documentation-popover/src/sections/esql_documentation_sections.tsx
+++ b/packages/kbn-language-documentation-popover/src/sections/esql_documentation_sections.tsx
@ -17,11 +17,8 @@ const Markdown = (props: Parameters<typeof SharedUXMarkdown>[0]) => (

 export const initialSection = (
  <Markdown
-    markdownContent={i18n.translate(
-      'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.markdown',
-      {
-        defaultMessage: `## ES|QL
-
+    markdownContent={i18n.translate('languageDocumentationPopover.documentationESQL.markdown', {
+      defaultMessage: `
 An ES|QL (Elasticsearch query language) query consists of a series of commands, separated by pipe characters: \`|\`. Each query starts with a **source command**, which produces a table, typically with data from Elasticsearch. 

 A source command can be followed by one or more **processing commands**. Processing commands can change the output table of the previous command by adding, removing, and changing rows and columns.
@ -34,34 +31,30 @@ source-command

 The result of a query is the table produced by the final processing command.                                  
                                      `,
-      }
-    )}
+    })}
  />
 );

 export const sourceCommands = {
-  label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.sourceCommands', {
+  label: i18n.translate('languageDocumentationPopover.documentationESQL.sourceCommands', {
    defaultMessage: 'Source commands',
  }),
  description: i18n.translate(
-    'textBasedEditor.query.textBasedLanguagesEditor.commandsDescription',
+    'languageDocumentationPopover.documentationESQL.commandsDescription',
    {
      defaultMessage: `A source command produces a table, typically with data from Elasticsearch. ES|QL supports the following source commands.`,
    }
  ),
  items: [
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from',
-        {
-          defaultMessage: 'FROM',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.from', {
+        defaultMessage: 'FROM',
+      }),
      description: (
        <Markdown
          openLinksInNewTab={true}
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from.markdown',
+            'languageDocumentationPopover.documentationESQL.from.markdown',
            {
              defaultMessage: `### FROM
 The \`FROM\` source command returns a table with up to 10,000 documents from a data stream, index, or alias. Each row in the resulting table represents a document. Each column corresponds to a field, and can be accessed by the name of that field.
@ -119,16 +112,13 @@ FROM employees [METADATA _index, _id]
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.row',
-        {
-          defaultMessage: 'ROW',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.row', {
+        defaultMessage: 'ROW',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.row.markdown',
+            'languageDocumentationPopover.documentationESQL.row.markdown',
            {
              defaultMessage: `### ROW
 The \`ROW\` source command produces a row with one or more columns with values that you specify. This can be useful for testing.
@ -157,16 +147,13 @@ ROW a = ROUND(1.23, 0)
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.show',
-        {
-          defaultMessage: 'SHOW',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.show', {
+        defaultMessage: 'SHOW',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.show.markdown',
+            'languageDocumentationPopover.documentationESQL.show.markdown',
            {
              defaultMessage: `### SHOW
 The \`SHOW <item>\` source command returns information about the deployment and its capabilities:
@ -186,28 +173,25 @@ The \`SHOW <item>\` source command returns information about the deployment and
 };

 export const processingCommands = {
-  label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.processingCommands', {
+  label: i18n.translate('languageDocumentationPopover.documentationESQL.processingCommands', {
    defaultMessage: 'Processing commands',
  }),
  description: i18n.translate(
-    'textBasedEditor.query.textBasedLanguagesEditor.processingCommandsDescription',
+    'languageDocumentationPopover.documentationESQL.processingCommandsDescription',
    {
      defaultMessage: `Processing commands change an input table by adding, removing, or changing rows and columns. ES|QL supports the following processing commands.`,
    }
  ),
  items: [
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.dissect',
-        {
-          defaultMessage: 'DISSECT',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.dissect', {
+        defaultMessage: 'DISSECT',
+      }),
      description: (
        <Markdown
          openLinksInNewTab={true}
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.dissect.markdown',
+            'languageDocumentationPopover.documentationESQL.dissect.markdown',
            {
              defaultMessage: `### DISSECT
 \`DISSECT\` enables you to extract structured data out of a string. \`DISSECT\` matches the string against a delimiter-based pattern, and extracts the specified keys as columns.
@ -227,16 +211,13 @@ ROW a = "1953-01-23T12:15:00Z - some text - 127.0.0.1"
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.drop',
-        {
-          defaultMessage: 'DROP',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.drop', {
+        defaultMessage: 'DROP',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.drop.markdown',
+            'languageDocumentationPopover.documentationESQL.drop.markdown',
            {
              defaultMessage: `### DROP
 Use \`DROP\` to remove columns from a table:
@ -261,17 +242,14 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.enrich',
-        {
-          defaultMessage: 'ENRICH',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.enrich', {
+        defaultMessage: 'ENRICH',
+      }),
      description: (
        <Markdown
          openLinksInNewTab={true}
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.enrich.markdown',
+            'languageDocumentationPopover.documentationESQL.enrich.markdown',
            {
              defaultMessage: `### ENRICH
 You can use \`ENRICH\` to add data from your existing indices to incoming records. It’s similar to [ingest enrich](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html), but it works at query time.
@ -317,16 +295,13 @@ In case of name collisions, the newly created fields will override the existing
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.eval',
-        {
-          defaultMessage: 'EVAL',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.eval', {
+        defaultMessage: 'EVAL',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.eval.markdown',
+            'languageDocumentationPopover.documentationESQL.eval.markdown',
            {
              defaultMessage: `### EVAL
 \`EVAL\` enables you to add new columns:
@ -356,17 +331,14 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.grok',
-        {
-          defaultMessage: 'GROK',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.grok', {
+        defaultMessage: 'GROK',
+      }),
      description: (
        <Markdown
          openLinksInNewTab={true}
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.grok.markdown',
+            'languageDocumentationPopover.documentationESQL.grok.markdown',
            {
              defaultMessage: `### GROK
 \`GROK\` enables you to extract structured data out of a string. \`GROK\` matches the string against patterns, based on regular expressions, and extracts the specified patterns as columns.
@ -386,16 +358,13 @@ ROW a = "12 15.5 15.6 true"
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.keep',
-        {
-          defaultMessage: 'KEEP',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.keep', {
+        defaultMessage: 'KEEP',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.keep.markdown',
+            'languageDocumentationPopover.documentationESQL.keep.markdown',
            {
              defaultMessage: `### KEEP
 The \`KEEP\` command enables you to specify what columns are returned and the order in which they are returned.
@ -429,16 +398,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.limit',
-        {
-          defaultMessage: 'LIMIT',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.limit', {
+        defaultMessage: 'LIMIT',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.limit.markdown',
+            'languageDocumentationPopover.documentationESQL.limit.markdown',
            {
              defaultMessage: `### LIMIT
 The \`LIMIT\` processing command enables you to limit the number of rows:
@ -456,16 +422,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mvExpand',
-        {
-          defaultMessage: 'MV_EXPAND',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.mvExpand', {
+        defaultMessage: 'MV_EXPAND',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mvExpand.markdown',
+            'languageDocumentationPopover.documentationESQL.mvExpand.markdown',
            {
              defaultMessage: `### MV_EXPAND
 The \`MV_EXPAND\` processing command expands multivalued fields into one row per value, duplicating other fields:              
@ -482,16 +445,13 @@ ROW a=[1,2,3], b="b", j=["a","b"]
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rename',
-        {
-          defaultMessage: 'RENAME',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.rename', {
+        defaultMessage: 'RENAME',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rename.markdown',
+            'languageDocumentationPopover.documentationESQL.rename.markdown',
            {
              defaultMessage: `### RENAME
 Use \`RENAME\` to rename a column using the following syntax:
@ -527,16 +487,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sort',
-        {
-          defaultMessage: 'SORT',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.sort', {
+        defaultMessage: 'SORT',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sort.markdown',
+            'languageDocumentationPopover.documentationESQL.sort.markdown',
            {
              defaultMessage: `### SORT
 Use the \`SORT\` command to sort rows on one or more fields:
@ -580,16 +537,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.statsby',
-        {
-          defaultMessage: 'STATS ... BY',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.statsby', {
+        defaultMessage: 'STATS ... BY',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.statsby.markdown',
+            'languageDocumentationPopover.documentationESQL.statsby.markdown',
            {
              defaultMessage: `### STATS ... BY
 Use \`STATS ... BY\` to group rows according to a common value and calculate one or more aggregated values over the grouped rows.
@ -670,16 +624,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.where',
-        {
-          defaultMessage: 'WHERE',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.where', {
+        defaultMessage: 'WHERE',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.where.markdown',
+            'languageDocumentationPopover.documentationESQL.where.markdown',
            {
              defaultMessage: `### WHERE
 Use \`WHERE\` to produce a table that contains all the rows from the input table for which the provided condition evaluates to \`true\`:
@ -708,27 +659,24 @@ Refer to **Operators** for an overview of the supported operators.
 };

 export const groupingFunctions = {
-  label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.groupingFunctions', {
+  label: i18n.translate('languageDocumentationPopover.documentationESQL.groupingFunctions', {
    defaultMessage: 'Grouping functions',
  }),
  description: i18n.translate(
-    'textBasedEditor.query.textBasedLanguagesEditor.groupingFunctionsDocumentationESQLDescription',
+    'languageDocumentationPopover.documentationESQL.groupingFunctionsDocumentationESQLDescription',
    {
      defaultMessage: `These grouping functions can be used with \`STATS...BY\`:`,
    }
  ),
  items: [
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.autoBucketFunction',
-        {
-          defaultMessage: 'BUCKET',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.autoBucketFunction', {
+        defaultMessage: 'BUCKET',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.autoBucketFunction.markdown',
+            'languageDocumentationPopover.documentationESQL.autoBucketFunction.markdown',
            {
              defaultMessage: `### BUCKET
 Creates groups of values - buckets - out of a datetime or numeric input. The size of the buckets can either be provided directly, or chosen based on a recommended count and values range.
@ -844,27 +792,24 @@ FROM employees
 };

 export const operators = {
-  label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.operators', {
+  label: i18n.translate('languageDocumentationPopover.documentationESQL.operators', {
    defaultMessage: 'Operators',
  }),
  description: i18n.translate(
-    'textBasedEditor.query.textBasedLanguagesEditor.operatorsDocumentationESQLDescription',
+    'languageDocumentationPopover.documentationESQL.operatorsDocumentationESQLDescription',
    {
      defaultMessage: `ES|QL supports the following operators:`,
    }
  ),
  items: [
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.binaryOperators',
-        {
-          defaultMessage: 'Binary operators',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.binaryOperators', {
+        defaultMessage: 'Binary operators',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.binaryOperators.markdown',
+            'languageDocumentationPopover.documentationESQL.binaryOperators.markdown',
            {
              defaultMessage: `### Binary operators
 These binary comparison operators are supported:
@ -889,16 +834,13 @@ These binary comparison operators are supported:
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.booleanOperators',
-        {
-          defaultMessage: 'Boolean operators',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.booleanOperators', {
+        defaultMessage: 'Boolean operators',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.booleanOperators.markdown',
+            'languageDocumentationPopover.documentationESQL.booleanOperators.markdown',
            {
              defaultMessage: `### Boolean operators
 The following boolean operators are supported:
@ -915,19 +857,16 @@ The following boolean operators are supported:
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.castOperator',
-        {
-          defaultMessage: 'Cast (::)',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.castOperator', {
+        defaultMessage: 'Cast (::)',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.castOperator.markdown',
+            'languageDocumentationPopover.documentationESQL.castOperator.markdown',
            {
              defaultMessage: `### CAST (\`::\`)
-The \`::\` operator provides a convenient alternative syntax to the \`TO_<type>\` type conversion functions.
+The \`::\` operator provides a convenient alternative syntax to the \`TO_<type>\` type conversion functions.

 Example:
 \`\`\`
@ -943,16 +882,13 @@ ROW ver = CONCAT(("0"::INT + 1)::STRING, ".2.3")::VERSION
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.inOperator',
-        {
-          defaultMessage: 'IN',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.inOperator', {
+        defaultMessage: 'IN',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.inOperator.markdown',
+            'languageDocumentationPopover.documentationESQL.inOperator.markdown',
            {
              defaultMessage: `### IN
 The \`IN\` operator allows testing whether a field or expression equals an element in a list of literals, fields or expressions:
@ -970,16 +906,13 @@ ROW a = 1, b = 4, c = 3
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.stringOperators',
-        {
-          defaultMessage: 'LIKE and RLIKE',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.stringOperators', {
+        defaultMessage: 'LIKE and RLIKE',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.stringOperators.markdown',
+            'languageDocumentationPopover.documentationESQL.stringOperators.markdown',
            {
              defaultMessage: `### LIKE and RLIKE
 For string comparison using wildcards or regular expressions, use \`LIKE\` or \`RLIKE\`:
@ -1011,16 +944,13 @@ FROM employees
      ),
    },
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.predicates',
-        {
-          defaultMessage: 'NULL values',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.predicates', {
+        defaultMessage: 'NULL values',
+      }),
      description: (
        <Markdown
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.predicates.markdown',
+            'languageDocumentationPopover.documentationESQL.predicates.markdown',
            {
              defaultMessage: `### NULL values
 For NULL comparison use the \`IS NULL\` and \`IS NOT NULL\` predicates:
--- a/packages/kbn-language-documentation-popover/src/sections/generated/aggregation_functions.tsx
+++ b/packages/kbn-language-documentation-popover/src/sections/generated/aggregation_functions.tsx
@ -13,11 +13,11 @@ import { Markdown } from '@kbn/shared-ux-markdown';

 // DO NOT RENAME!
 export const functions = {
-  label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.aggregationFunctions', {
+  label: i18n.translate('languageDocumentationPopover.documentationESQL.aggregationFunctions', {
    defaultMessage: 'Aggregation functions',
  }),
  description: i18n.translate(
-    'textBasedEditor.query.textBasedLanguagesEditor.aggregationFunctionsDocumentationESQLDescription',
+    'languageDocumentationPopover.documentationESQL.aggregationFunctionsDocumentationESQLDescription',
    {
      defaultMessage: `These functions can by used with STATS...BY:`,
    }
@ -26,19 +26,16 @@ export const functions = {
  items: [
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.avg',
-        {
-          defaultMessage: 'AVG',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.avg', {
+        defaultMessage: 'AVG',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.avg.markdown',
+            'languageDocumentationPopover.documentationESQL.avg.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -62,19 +59,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.count',
-        {
-          defaultMessage: 'COUNT',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.count', {
+        defaultMessage: 'COUNT',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.count.markdown',
+            'languageDocumentationPopover.documentationESQL.count.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -98,19 +92,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.count_distinct',
-        {
-          defaultMessage: 'COUNT_DISTINCT',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.count_distinct', {
+        defaultMessage: 'COUNT_DISTINCT',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.count_distinct.markdown',
+            'languageDocumentationPopover.documentationESQL.count_distinct.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -134,19 +125,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.max',
-        {
-          defaultMessage: 'MAX',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.max', {
+        defaultMessage: 'MAX',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.max.markdown',
+            'languageDocumentationPopover.documentationESQL.max.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -170,19 +158,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.median',
-        {
-          defaultMessage: 'MEDIAN',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.median', {
+        defaultMessage: 'MEDIAN',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.median.markdown',
+            'languageDocumentationPopover.documentationESQL.median.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -208,7 +193,7 @@ export const functions = {
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.median_absolute_deviation',
+        'languageDocumentationPopover.documentationESQL.median_absolute_deviation',
        {
          defaultMessage: 'MEDIAN_ABSOLUTE_DEVIATION',
        }
@ -219,7 +204,7 @@ export const functions = {
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.median_absolute_deviation.markdown',
+            'languageDocumentationPopover.documentationESQL.median_absolute_deviation.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -246,19 +231,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.min',
-        {
-          defaultMessage: 'MIN',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.min', {
+        defaultMessage: 'MIN',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.min.markdown',
+            'languageDocumentationPopover.documentationESQL.min.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -282,19 +264,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.percentile',
-        {
-          defaultMessage: 'PERCENTILE',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.percentile', {
+        defaultMessage: 'PERCENTILE',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.percentile.markdown',
+            'languageDocumentationPopover.documentationESQL.percentile.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -320,19 +299,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_centroid_agg',
-        {
-          defaultMessage: 'ST_CENTROID_AGG',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.st_centroid_agg', {
+        defaultMessage: 'ST_CENTROID_AGG',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_centroid_agg.markdown',
+            'languageDocumentationPopover.documentationESQL.st_centroid_agg.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -356,19 +332,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sum',
-        {
-          defaultMessage: 'SUM',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.sum', {
+        defaultMessage: 'SUM',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sum.markdown',
+            'languageDocumentationPopover.documentationESQL.sum.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -392,19 +365,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.top',
-        {
-          defaultMessage: 'TOP',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.top', {
+        defaultMessage: 'TOP',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.top.markdown',
+            'languageDocumentationPopover.documentationESQL.top.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -428,19 +398,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.values',
-        {
-          defaultMessage: 'VALUES',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.values', {
+        defaultMessage: 'VALUES',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.values.markdown',
+            'languageDocumentationPopover.documentationESQL.values.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
@ -466,19 +433,16 @@ export const functions = {
    },
    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
    {
-      label: i18n.translate(
-        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.weighted_avg',
-        {
-          defaultMessage: 'WEIGHTED_AVG',
-        }
-      ),
+      label: i18n.translate('languageDocumentationPopover.documentationESQL.weighted_avg', {
+        defaultMessage: 'WEIGHTED_AVG',
+      }),
      description: (
        <Markdown
          openLinksInNewTab
          readOnly
          enableSoftLineBreaks
          markdownContent={i18n.translate(
-            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.weighted_avg.markdown',
+            'languageDocumentationPopover.documentationESQL.weighted_avg.markdown',
            {
              defaultMessage: `<!--
  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
--- a/packages/kbn-language-documentation-popover/src/sections/generated/scalar_functions.tsx
+++ b/packages/kbn-language-documentation-popover/src/sections/generated/scalar_functions.tsx
--- a/packages/kbn-language-documentation-popover/src/sections/index.ts
+++ b/packages/kbn-language-documentation-popover/src/sections/index.ts
@ -0,0 +1,44 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import { i18n } from '@kbn/i18n';
+
+export const getESQLDocsSections = async () => {
+  const groups: Array<{
+    label: string;
+    description?: string;
+    items: Array<{ label: string; description?: JSX.Element }>;
+  }> = [];
+  const {
+    sourceCommands,
+    processingCommands,
+    initialSection,
+    scalarFunctions,
+    aggregationFunctions,
+    groupingFunctions,
+    operators,
+  } = await import('./esql_documentation_sections');
+  groups.push({
+    label: i18n.translate('languageDocumentationPopover.esqlSections.initialSectionLabel', {
+      defaultMessage: 'ES|QL',
+    }),
+    items: [],
+  });
+  groups.push(
+    sourceCommands,
+    processingCommands,
+    scalarFunctions,
+    aggregationFunctions,
+    groupingFunctions,
+    operators
+  );
+  return {
+    groups,
+    initialSection,
+  };
+};
--- a/packages/kbn-language-documentation-popover/src/types.ts
+++ b/packages/kbn-language-documentation-popover/src/types.ts
@ -0,0 +1,17 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+
+export interface LanguageDocumentationSections {
+  groups: Array<{
+    label: string;
+    description?: string;
+    items: Array<{ label: string; description?: JSX.Element }>;
+  }>;
+  initialSection: JSX.Element;
+}
--- a/packages/kbn-language-documentation-popover/src/utils/get_filtered_groups.test.tsx
+++ b/packages/kbn-language-documentation-popover/src/utils/get_filtered_groups.test.tsx
@ -0,0 +1,85 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import React from 'react';
+import { Markdown } from '@kbn/shared-ux-markdown';
+import { getFilteredGroups } from './get_filtered_groups';
+
+describe('getFilteredGroups', () => {
+  const sections = {
+    groups: [
+      {
+        label: 'Section one',
+        description: 'Section 1 description',
+        items: [],
+      },
+      {
+        label: 'Section two',
+        items: [
+          {
+            label: 'Section two item 1 blah blah',
+            description: (
+              <Markdown readOnly markdownContent={`## Section two item 1 description `} />
+            ),
+          },
+          {
+            label: 'Section two item 2',
+            description: (
+              <Markdown readOnly markdownContent={`## Section two item 2 description `} />
+            ),
+          },
+        ],
+      },
+      {
+        label: 'Section three ',
+        items: [
+          {
+            label: 'Section three  item 1',
+            description: (
+              <Markdown readOnly markdownContent={`## Section three  item 1 description `} />
+            ),
+          },
+          {
+            label: 'Section three  item 2',
+            description: (
+              <Markdown readOnly markdownContent={`## Section three  item 2 description `} />
+            ),
+          },
+        ],
+      },
+    ],
+    initialSection: <span>Here is the initial section</span>,
+  };
+  test('Should return the sections as it gets them if the search string is empty', () => {
+    const filteredSections = getFilteredGroups('', false, sections);
+    expect(filteredSections).toStrictEqual([
+      ...sections.groups.map((group) => ({ ...group, options: group.items })),
+    ]);
+  });
+
+  test('Should return the 2 last sections as it gets them if the search string is empty and the numOfGroupsToOmit is set to 1', () => {
+    const filteredSections = getFilteredGroups('', false, sections, 1);
+    expect(filteredSections).toStrictEqual([
+      ...sections.groups.slice(1).map((group) => ({ ...group, options: group.items })),
+    ]);
+  });
+
+  test('Should return the section two as it gets it if the search string is asking for this', () => {
+    const filteredSections = getFilteredGroups('tWo', false, sections);
+    expect(filteredSections).toStrictEqual([
+      { ...sections.groups[1], options: sections.groups[1].items },
+    ]);
+  });
+
+  test('Should return the section two filtered on the search string if it is allowed to search in description', () => {
+    const filteredSections = getFilteredGroups('Section two item 1 blah blah', true, sections);
+    expect(filteredSections).toStrictEqual([
+      { ...sections.groups[1], options: [sections.groups[1].items[0]] },
+    ]);
+  });
+});
--- a/packages/kbn-language-documentation-popover/src/utils/get_filtered_groups.ts
+++ b/packages/kbn-language-documentation-popover/src/utils/get_filtered_groups.ts
@ -0,0 +1,41 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the "Elastic License
+ * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
+ * Public License v 1"; you may not use this file except in compliance with, at
+ * your election, the "Elastic License 2.0", the "GNU Affero General Public
+ * License v3.0 only", or the "Server Side Public License, v 1".
+ */
+import type { LanguageDocumentationSections } from '../types';
+import { elementToString } from './element_to_string';
+
+export const getFilteredGroups = (
+  searchText: string,
+  searchInDescription?: boolean,
+  sections?: LanguageDocumentationSections,
+  numOfGroupsToOmit?: number
+) => {
+  const normalizedSearchText = searchText.trim().toLocaleLowerCase();
+  return sections?.groups
+    .slice(numOfGroupsToOmit ?? 0)
+    .map((group) => {
+      const options = group.items.filter((helpItem) => {
+        return (
+          !normalizedSearchText ||
+          helpItem.label.toLocaleLowerCase().includes(normalizedSearchText) ||
+          // Converting the JSX element to a string first
+          (searchInDescription &&
+            elementToString(helpItem.description)
+              ?.toLocaleLowerCase()
+              .includes(normalizedSearchText))
+        );
+      });
+      return { ...group, options };
+    })
+    .filter((group) => {
+      if (group.options.length > 0 || !normalizedSearchText) {
+        return true;
+      }
+      return group.label.toLocaleLowerCase().includes(normalizedSearchText);
+    });
+};
--- a/packages/kbn-language-documentation-popover/tsconfig.json
+++ b/packages/kbn-language-documentation-popover/tsconfig.json
@ -5,6 +5,7 @@
    "types": [
      "jest",
      "node",
+      "@emotion/react/types/css-prop",
    ]
  },
  "include": [
--- a/packages/kbn-text-based-editor/README.md
+++ b/packages/kbn-text-based-editor/README.md
@ -14,7 +14,6 @@ In order to enable text based languages on your unified search bar add `textBase


 ## Languages supported
- SQL: based on the Elasticsearch sql api
 - ESQL: based on the Elastisearch esql api


--- a/packages/kbn-text-based-editor/package.json
+++ b/packages/kbn-text-based-editor/package.json
@ -5,10 +5,5 @@
  "license": "Elastic License 2.0 OR AGPL-3.0-only OR SSPL-1.0",
  "sideEffects": [
    "*.scss"
-  ],
-  "scripts": {
-    "make:docs": "ts-node --transpileOnly scripts/generate_esql_docs.ts",
-    "postmake:docs": "yarn run lint:fix",
-    "lint:fix": "cd ../.. && node ./scripts/eslint --fix ./packages/kbn-text-based-editor/src/inline_documentation/generated"
-  }
+  ]
 }
--- a/packages/kbn-text-based-editor/src/editor_footer/index.tsx
+++ b/packages/kbn-text-based-editor/src/editor_footer/index.tsx
@ -7,18 +7,25 @@
 * License v3.0 only", or the "Server Side Public License, v 1".
 */

-import React, { memo, useState, useCallback, useEffect, useMemo } from 'react';
+import React, { memo, useState, useCallback, useMemo } from 'react';

 import { i18n } from '@kbn/i18n';
-import { EuiText, EuiFlexGroup, EuiFlexItem, EuiCode } from '@elastic/eui';
+import {
+  EuiText,
+  EuiFlexGroup,
+  EuiFlexItem,
+  EuiCode,
+  EuiButtonIcon,
+  EuiButtonEmpty,
+} from '@elastic/eui';
 import { Interpolation, Theme, css } from '@emotion/react';
 import { useKibana } from '@kbn/kibana-react-plugin/public';
 import {
-  LanguageDocumentationPopover,
-  type LanguageDocumentationSections,
+  LanguageDocumentationInline,
+  LanguageDocumentationFlyout,
 } from '@kbn/language-documentation-popover';
 import { getLimitFromESQLQuery } from '@kbn/esql-utils';
-import { type MonacoMessage, getDocumentationSections } from '../helpers';
+import { type MonacoMessage } from '../helpers';
 import { ErrorsWarningsFooterPopover } from './errors_warnings_popover';
 import { QueryHistoryAction, QueryHistory } from './query_history';
 import { SubmitFeedbackComponent } from './feedback_component';
@ -43,8 +50,6 @@ interface EditorFooterProps {
  updateQuery: (qs: string) => void;
  isHistoryOpen: boolean;
  setIsHistoryOpen: (status: boolean) => void;
-  isHelpMenuOpen: boolean;
-  setIsHelpMenuOpen: (status: boolean) => void;
  measuredContainerWidth: number;
  hideRunQueryText?: boolean;
  editorIsInline?: boolean;
@ -52,6 +57,7 @@ interface EditorFooterProps {
  hideTimeFilterInfo?: boolean;
  hideQueryHistory?: boolean;
  isInCompactMode?: boolean;
+  displayDocumentationAsFlyout?: boolean;
 }

 export const EditorFooter = memo(function EditorFooter({
@ -71,18 +77,15 @@ export const EditorFooter = memo(function EditorFooter({
  setIsHistoryOpen,
  hideQueryHistory,
  isInCompactMode,
+  displayDocumentationAsFlyout,
  measuredContainerWidth,
  code,
-  isHelpMenuOpen,
-  setIsHelpMenuOpen,
 }: EditorFooterProps) {
  const kibana = useKibana<TextBasedEditorDeps>();
  const { docLinks } = kibana.services;
-
  const [isErrorPopoverOpen, setIsErrorPopoverOpen] = useState(false);
+  const [isLanguageComponentOpen, setIsLanguageComponentOpen] = useState(false);
  const [isWarningPopoverOpen, setIsWarningPopoverOpen] = useState(false);
-  const [documentationSections, setDocumentationSections] =
-    useState<LanguageDocumentationSections>();

  const onUpdateAndSubmit = useCallback(
    (qs: string) => {
@ -98,17 +101,17 @@ export const EditorFooter = memo(function EditorFooter({
    [runQuery, updateQuery]
  );

-  const limit = useMemo(() => getLimitFromESQLQuery(code), [code]);
+  const toggleHistoryComponent = useCallback(() => {
+    setIsHistoryOpen(!isHistoryOpen);
+    setIsLanguageComponentOpen(false);
+  }, [isHistoryOpen, setIsHistoryOpen]);

-  useEffect(() => {
-    async function getDocumentation() {
-      const sections = await getDocumentationSections('esql');
-      setDocumentationSections(sections);
-    }
-    if (!documentationSections) {
-      getDocumentation();
-    }
-  }, [documentationSections]);
+  const toggleLanguageComponent = useCallback(async () => {
+    setIsLanguageComponentOpen(!isLanguageComponentOpen);
+    setIsHistoryOpen(false);
+  }, [isLanguageComponentOpen, setIsHistoryOpen]);
+
+  const limit = useMemo(() => getLimitFromESQLQuery(code), [code]);

  return (
    <EuiFlexGroup
@ -286,28 +289,25 @@ export const EditorFooter = memo(function EditorFooter({
                  </EuiFlexGroup>
                </EuiFlexItem>
              )}
-              {documentationSections && !editorIsInline && (
-                <EuiFlexItem grow={false}>
-                  <LanguageDocumentationPopover
-                    language="ES|QL"
-                    sections={documentationSections}
+              {displayDocumentationAsFlyout && !Boolean(editorIsInline) && (
+                <>
+                  <EuiButtonEmpty
+                    iconType="documentation"
+                    color="text"
+                    data-test-subj="TextBasedLangEditor-documentation"
+                    size="m"
+                    onClick={() => toggleLanguageComponent()}
+                    css={css`
+                      cursor: pointer;
+                    `}
+                  />
+                  <LanguageDocumentationFlyout
                    searchInDescription
                    linkToDocumentation={docLinks?.links?.query?.queryESQL ?? ''}
-                    buttonProps={{
-                      color: 'text',
-                      size: 'xs',
-                      'data-test-subj': 'TextBasedLangEditor-documentation',
-                      'aria-label': i18n.translate(
-                        'textBasedEditor.query.textBasedLanguagesEditor.documentationLabel',
-                        {
-                          defaultMessage: 'Documentation',
-                        }
-                      ),
-                    }}
-                    isHelpMenuOpen={isHelpMenuOpen}
-                    onHelpMenuVisibilityChange={setIsHelpMenuOpen}
+                    isHelpMenuOpen={isLanguageComponentOpen}
+                    onHelpMenuVisibilityChange={setIsLanguageComponentOpen}
                  />
-                </EuiFlexItem>
+                </>
              )}
            </EuiFlexGroup>
          </EuiFlexItem>
@ -318,34 +318,14 @@ export const EditorFooter = memo(function EditorFooter({
                  <SubmitFeedbackComponent isSpaceReduced={true} />
                  {!hideQueryHistory && (
                    <QueryHistoryAction
-                      toggleHistory={() => setIsHistoryOpen(!isHistoryOpen)}
+                      toggleHistory={toggleHistoryComponent}
                      isHistoryOpen={isHistoryOpen}
                      isSpaceReduced={true}
                    />
                  )}
-                  {documentationSections && (
-                    <EuiFlexItem grow={false}>
-                      <LanguageDocumentationPopover
-                        language="ES|QL"
-                        sections={documentationSections}
-                        searchInDescription
-                        linkToDocumentation={docLinks?.links?.query?.queryESQL ?? ''}
-                        buttonProps={{
-                          color: 'text',
-                          size: 'xs',
-                          'data-test-subj': 'TextBasedLangEditor-documentation',
-                          'aria-label': i18n.translate(
-                            'textBasedEditor.query.textBasedLanguagesEditor.documentationLabel',
-                            {
-                              defaultMessage: 'Documentation',
-                            }
-                          ),
-                        }}
-                        isHelpMenuOpen={isHelpMenuOpen}
-                        onHelpMenuVisibilityChange={setIsHelpMenuOpen}
-                      />
-                    </EuiFlexItem>
-                  )}
+                  <EuiFlexItem grow={false}>
+                    <EuiButtonIcon iconType="documentation" onClick={toggleLanguageComponent} />
+                  </EuiFlexItem>
                </EuiFlexGroup>
              </EuiFlexItem>
            </>
@ -362,6 +342,11 @@ export const EditorFooter = memo(function EditorFooter({
          />
        </EuiFlexItem>
      )}
+      {isLanguageComponentOpen && editorIsInline && (
+        <EuiFlexItem grow={false}>
+          <LanguageDocumentationInline searchInDescription />
+        </EuiFlexItem>
+      )}
    </EuiFlexGroup>
  );
 });
--- a/packages/kbn-text-based-editor/src/helpers.ts
+++ b/packages/kbn-text-based-editor/src/helpers.ts
@ -161,43 +161,6 @@ export const parseErrors = (errors: Error[], code: string): MonacoMessage[] => {
  });
 };

-export const getDocumentationSections = async (language: string) => {
-  const groups: Array<{
-    label: string;
-    description?: string;
-    items: Array<{ label: string; description?: JSX.Element }>;
-  }> = [];
-  if (language === 'esql') {
-    const {
-      sourceCommands,
-      processingCommands,
-      initialSection,
-      scalarFunctions,
-      aggregationFunctions,
-      groupingFunctions,
-      operators,
-    } = await import('./inline_documentation/esql_documentation_sections');
-    groups.push({
-      label: i18n.translate('textBasedEditor.query.textBasedLanguagesEditor.esql', {
-        defaultMessage: 'ES|QL',
-      }),
-      items: [],
-    });
-    groups.push(
-      sourceCommands,
-      processingCommands,
-      scalarFunctions,
-      aggregationFunctions,
-      groupingFunctions,
-      operators
-    );
-    return {
-      groups,
-      initialSection,
-    };
-  }
-};
-
 export const getIndicesList = async (dataViews: DataViewsPublicPluginStart) => {
  const indices = await dataViews.getIndices({
    showAllIndices: false,
--- a/packages/kbn-text-based-editor/src/text_based_languages_editor.test.tsx
+++ b/packages/kbn-text-based-editor/src/text_based_languages_editor.test.tsx
@ -16,21 +16,6 @@ import { KibanaContextProvider } from '@kbn/kibana-react-plugin/public';
 import { TextBasedLanguagesEditor } from './text_based_languages_editor';
 import type { TextBasedLanguagesEditorProps } from './types';
 import { ReactWrapper } from 'enzyme';
-
-jest.mock('./helpers', () => {
-  const module = jest.requireActual('./helpers');
-  return {
-    ...module,
-    getDocumentationSections: () => ({
-      groups: [
-        {
-          label: 'How it works',
-          items: [],
-        },
-      ],
-    }),
-  };
-});
 import { of } from 'rxjs';

 describe('TextBasedLanguagesEditor', () => {
@ -133,9 +118,6 @@ describe('TextBasedLanguagesEditor', () => {
    expect(
      component!.find('[data-test-subj="TextBasedLangEditor-toggleWordWrap"]').length
    ).not.toBe(0);
-    expect(component!.find('[data-test-subj="TextBasedLangEditor-documentation"]').length).not.toBe(
-      0
-    );
  });

  it('should render the resize for the expanded code editor mode', async () => {
@ -156,6 +138,18 @@ describe('TextBasedLanguagesEditor', () => {
    expect(component.find('[data-test-subj="TextBasedLangEditor-run-query"]').length).not.toBe(0);
  });

+  it('should render the doc icon if the displayDocumentationAsFlyout is true', async () => {
+    const newProps = {
+      ...props,
+      displayDocumentationAsFlyout: true,
+      editorIsInline: false,
+    };
+    const component = mount(renderTextBasedLanguagesEditorComponent({ ...newProps }));
+    expect(component.find('[data-test-subj="TextBasedLangEditor-documentation"]').length).not.toBe(
+      0
+    );
+  });
+
  it('should not render the run query text if the hideRunQueryText prop is set to true', async () => {
    const newProps = {
      ...props,
--- a/packages/kbn-text-based-editor/src/text_based_languages_editor.tsx
+++ b/packages/kbn-text-based-editor/src/text_based_languages_editor.tsx
@ -78,6 +78,7 @@ export const TextBasedLanguagesEditor = memo(function TextBasedLanguagesEditor({
  hideTimeFilterInfo,
  hideQueryHistory,
  hasOutline,
+  displayDocumentationAsFlyout,
 }: TextBasedLanguagesEditorProps) {
  const popoverRef = useRef<HTMLDivElement>(null);
  const datePickerOpenStatusRef = useRef<boolean>(false);
@ -108,7 +109,6 @@ export const TextBasedLanguagesEditor = memo(function TextBasedLanguagesEditor({

  const [isHistoryOpen, setIsHistoryOpen] = useState(false);
  const [isCodeEditorExpandedFocused, setIsCodeEditorExpandedFocused] = useState(false);
-  const [isLanguagePopoverOpen, setIsLanguagePopoverOpen] = useState(false);
  const [isQueryLoading, setIsQueryLoading] = useState(true);
  const [abortController, setAbortController] = useState(new AbortController());

@ -738,8 +738,7 @@ export const TextBasedLanguagesEditor = memo(function TextBasedLanguagesEditor({
        setIsHistoryOpen={toggleHistory}
        measuredContainerWidth={measuredEditorWidth}
        hideQueryHistory={hideHistoryComponent}
-        isHelpMenuOpen={isLanguagePopoverOpen}
-        setIsHelpMenuOpen={setIsLanguagePopoverOpen}
+        displayDocumentationAsFlyout={displayDocumentationAsFlyout}
      />
      <ResizableButton
        onMouseDownResizeHandler={onMouseDownResizeHandler}
--- a/packages/kbn-text-based-editor/src/types.ts
+++ b/packages/kbn-text-based-editor/src/types.ts
@ -61,6 +61,9 @@ export interface TextBasedLanguagesEditorProps {

  /** adds border in the editor **/
  hasOutline?: boolean;
+
+  /** adds a documentation icon in the footer which opens the inline docs as a flyout **/
+  displayDocumentationAsFlyout?: boolean;
 }

 export interface TextBasedEditorDeps {
--- a/packages/kbn-text-based-editor/tsconfig.json
+++ b/packages/kbn-text-based-editor/tsconfig.json
@ -25,7 +25,6 @@
    "@kbn/data-views-plugin",
    "@kbn/index-management-shared-types",
    "@kbn/code-editor",
-    "@kbn/shared-ux-markdown",
    "@kbn/fields-metadata-plugin",
    "@kbn/esql-validation-autocomplete",
    "@kbn/esql-utils",
--- a/src/plugins/unified_search/public/query_string_input/esql_menu_popover.test.tsx
+++ b/src/plugins/unified_search/public/query_string_input/esql_menu_popover.test.tsx
@ -36,7 +36,7 @@ describe('ESQLMenuPopover', () => {
    renderESQLPopover();
    expect(screen.getByTestId('esql-menu-button')).toBeInTheDocument();
    await userEvent.click(screen.getByRole('button'));
-
+    expect(screen.getByTestId('esql-quick-reference')).toBeInTheDocument();
    expect(screen.getByTestId('esql-examples')).toBeInTheDocument();
    expect(screen.getByTestId('esql-about')).toBeInTheDocument();
    expect(screen.getByTestId('esql-feedback')).toBeInTheDocument();
--- a/src/plugins/unified_search/public/query_string_input/esql_menu_popover.tsx
+++ b/src/plugins/unified_search/public/query_string_input/esql_menu_popover.tsx
@ -7,7 +7,7 @@
 * License v3.0 only", or the "Server Side Public License, v 1".
 */

-import React, { useMemo, useState } from 'react';
+import React, { useMemo, useState, useCallback } from 'react';
 import {
  EuiPopover,
  EuiButton,
@ -19,6 +19,7 @@ import {
 import { useKibana } from '@kbn/kibana-react-plugin/public';
 import { i18n } from '@kbn/i18n';
 import { FEEDBACK_LINK } from '@kbn/esql-utils';
+import { LanguageDocumentationFlyout } from '@kbn/language-documentation-popover';
 import type { IUnifiedSearchPluginServices } from '../types';

 export const ESQLMenuPopover = () => {
@ -26,15 +27,33 @@ export const ESQLMenuPopover = () => {

  const { docLinks } = kibana.services;
  const [isESQLMenuPopoverOpen, setIsESQLMenuPopoverOpen] = useState(false);
+  const [isLanguageComponentOpen, setIsLanguageComponentOpen] = useState(false);
+
+  const toggleLanguageComponent = useCallback(async () => {
+    setIsLanguageComponentOpen(!isLanguageComponentOpen);
+    setIsESQLMenuPopoverOpen(false);
+  }, [isLanguageComponentOpen]);
+
  const esqlPanelItems = useMemo(() => {
    const panelItems: EuiContextMenuPanelProps['items'] = [];
    panelItems.push(
+      <EuiContextMenuItem
+        key="quickReference"
+        icon="documentation"
+        data-test-subj="esql-quick-reference"
+        onClick={() => toggleLanguageComponent()}
+      >
+        {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.quickReference', {
+          defaultMessage: 'Quick Reference',
+        })}
+      </EuiContextMenuItem>,
      <EuiContextMenuItem
        key="about"
        icon="iInCircle"
        data-test-subj="esql-about"
        target="_blank"
        href={docLinks.links.query.queryESQL}
+        onClick={() => setIsESQLMenuPopoverOpen(false)}
      >
        {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.documentation', {
          defaultMessage: 'Documentation',
@ -46,6 +65,7 @@ export const ESQLMenuPopover = () => {
        data-test-subj="esql-examples"
        target="_blank"
        href={docLinks.links.query.queryESQLExamples}
+        onClick={() => setIsESQLMenuPopoverOpen(false)}
      >
        {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.documentation', {
          defaultMessage: 'Example queries',
@ -58,6 +78,7 @@ export const ESQLMenuPopover = () => {
        data-test-subj="esql-feedback"
        target="_blank"
        href={FEEDBACK_LINK}
+        onClick={() => setIsESQLMenuPopoverOpen(false)}
      >
        {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.documentation', {
          defaultMessage: 'Submit feedback',
@ -65,32 +86,44 @@ export const ESQLMenuPopover = () => {
      </EuiContextMenuItem>
    );
    return panelItems;
-  }, [docLinks.links.query.queryESQL, docLinks.links.query.queryESQLExamples]);
+  }, [
+    docLinks.links.query.queryESQL,
+    docLinks.links.query.queryESQLExamples,
+    toggleLanguageComponent,
+  ]);

  return (
-    <EuiPopover
-      button={
-        <EuiButton
-          color="text"
-          onClick={() => setIsESQLMenuPopoverOpen(!isESQLMenuPopoverOpen)}
-          data-test-subj="esql-menu-button"
-          size="s"
-        >
-          {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.label', {
-            defaultMessage: 'ES|QL help',
-          })}
-        </EuiButton>
-      }
-      panelProps={{
-        ['data-test-subj']: 'esql-menu-popover',
-        css: { width: 240 },
-      }}
-      isOpen={isESQLMenuPopoverOpen}
-      closePopover={() => setIsESQLMenuPopoverOpen(false)}
-      panelPaddingSize="s"
-      display="block"
-    >
-      <EuiContextMenuPanel size="s" items={esqlPanelItems} />
-    </EuiPopover>
+    <>
+      <EuiPopover
+        button={
+          <EuiButton
+            color="text"
+            onClick={() => setIsESQLMenuPopoverOpen(!isESQLMenuPopoverOpen)}
+            data-test-subj="esql-menu-button"
+            size="s"
+          >
+            {i18n.translate('unifiedSearch.query.queryBar.esqlMenu.label', {
+              defaultMessage: 'ES|QL help',
+            })}
+          </EuiButton>
+        }
+        panelProps={{
+          ['data-test-subj']: 'esql-menu-popover',
+          css: { width: 240 },
+        }}
+        isOpen={isESQLMenuPopoverOpen}
+        closePopover={() => setIsESQLMenuPopoverOpen(false)}
+        panelPaddingSize="s"
+        display="block"
+      >
+        <EuiContextMenuPanel size="s" items={esqlPanelItems} />
+      </EuiPopover>
+      <LanguageDocumentationFlyout
+        searchInDescription
+        linkToDocumentation={docLinks?.links?.query?.queryESQL ?? ''}
+        isHelpMenuOpen={isLanguageComponentOpen}
+        onHelpMenuVisibilityChange={setIsLanguageComponentOpen}
+      />
+    </>
  );
 };
--- a/src/plugins/unified_search/tsconfig.json
+++ b/src/plugins/unified_search/tsconfig.json
@ -46,7 +46,8 @@
    "@kbn/data-view-utils",
    "@kbn/esql-utils",
    "@kbn/react-kibana-mount",
-    "@kbn/field-utils"
+    "@kbn/field-utils",
+    "@kbn/language-documentation-popover"
  ],
  "exclude": [
    "target/**/*",
--- a/x-pack/plugins/data_visualizer/public/application/index_data_visualizer/components/index_data_visualizer_view/index_data_visualizer_esql.tsx
+++ b/x-pack/plugins/data_visualizer/public/application/index_data_visualizer/components/index_data_visualizer_view/index_data_visualizer_esql.tsx
@ -266,6 +266,7 @@ export const IndexDataVisualizerESQL: FC<IndexDataVisualizerESQLProps> = (dataVi
          detectedTimestamp={currentDataView?.timeFieldName}
          hideRunQueryText={false}
          isLoading={queryHistoryStatus ?? false}
+          displayDocumentationAsFlyout
        />

        <EuiFlexGroup gutterSize="m" direction={isWithinLargeBreakpoint ? 'column' : 'row'}>
--- a/x-pack/plugins/stack_alerts/public/rule_types/es_query/expression/esql_query_expression.tsx
+++ b/x-pack/plugins/stack_alerts/public/rule_types/es_query/expression/esql_query_expression.tsx
@ -198,6 +198,7 @@ export const EsqlQueryExpression: React.FC<
          detectedTimestamp={detectedTimestamp}
          hideRunQueryText={true}
          isLoading={isLoading}
+          editorIsInline
          hasOutline
        />
      </EuiFormRow>
--- a/x-pack/plugins/translations/translations/fr-FR.json
+++ b/x-pack/plugins/translations/translations/fr-FR.json
--- a/x-pack/plugins/translations/translations/ja-JP.json
+++ b/x-pack/plugins/translations/translations/ja-JP.json
--- a/x-pack/plugins/translations/translations/zh-CN.json
+++ b/x-pack/plugins/translations/translations/zh-CN.json
@ -7090,255 +7090,253 @@
    "telemetry.usageCollectionConstant": "使用情况收集",
    "telemetry.usageDataTitle": "使用情况收集",
    "textBasedEditor.query.textBasedLanguagesEditor.aborted": "请求已中止",
-    "textBasedEditor.query.textBasedLanguagesEditor.aggregationFunctions": "聚合函数",
-    "textBasedEditor.query.textBasedLanguagesEditor.aggregationFunctionsDocumentationESQLDescription": "这些函数可以与 STATS...BY 搭配使用：",
+    "languageDocumentationPopover.documentationESQL.aggregationFunctions": "聚合函数",
+    "languageDocumentationPopover.documentationESQL.aggregationFunctionsDocumentationESQLDescription": "这些函数可以与 STATS...BY 搭配使用：",
    "textBasedEditor.query.textBasedLanguagesEditor.cancel": "取消",
    "textBasedEditor.query.textBasedLanguagesEditor.collapseLabel": "折叠",
-    "textBasedEditor.query.textBasedLanguagesEditor.commandsDescription": "源命令会生成一个表，其中通常包含来自 Elasticsearch 的数据。ES|QL 支持以下源命令。",
+    "languageDocumentationPopover.documentationESQL.commandsDescription": "源命令会生成一个表，其中通常包含来自 Elasticsearch 的数据。ES|QL 支持以下源命令。",
    "textBasedEditor.query.textBasedLanguagesEditor.disableWordWrapLabel": "移除管道符上的换行符",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.abs": "ABS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.abs.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ABS\n  返回绝对值。\n\n  ```\n  ROW number = -1.0 \n  | EVAL abs_number = ABS(number)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.acos": "ACOS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.acos.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ACOS\n  返回 `n` 的反余弦作为角度，以弧度表示。\n\n  ```\n  ROW a=.9\n  | EVAL acos=ACOS(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.asin": "ASIN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.asin.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ASIN\n  返回输入数字表达式的反正弦\n  作为角度，以弧度表示。\n\n  ```\n  ROW a=.9\n  | EVAL asin=ASIN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.atan": "ATAN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.atan.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ATAN\n  返回输入数字表达式的反正切\n  作为角度，以弧度表示。\n\n  ```\n  ROW a=12.9\n  | EVAL atan=ATAN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.atan2": "ATAN2",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.atan2.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ATAN2\n  笛卡儿平面中正 x 轴\n  与从原点到点 (x , y) 构成的射线之间的角度，以弧度表示。\n\n  ```\n  ROW y=12.9, x=.6\n  | EVAL atan2=ATAN2(y, x)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.autoBucketFunction": "BUCKET",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.autoBucketFunction.markdown": "### BUCKET\n用日期时间或数字输入创建值（存储桶）的分组。存储桶的大小可以直接提供，或基于建议的计数和值范围进行选择。\n\n`BUCKET` 以两种模式运行：\n\n1.在此模式下基于存储桶计数建议（四个参数）和范围计算存储桶的大小。\n2.在此模式下直接提供存储桶大小（两个参数）。\n\n使用存储桶的目标数量、起始范围和结束范围，`BUCKET` 将选取适当的存储桶大小以生成目标数量或更小数量的存储桶。\n\n例如，一年请求多达 20 个存储桶会按每月时间间隔组织数据：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hire_date = MV_SORT(VALUES(hire_date)) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT hire_date\n```\n\n**注意**：目标并不是提供存储桶的确切目标数量，而是选择一个范围，最多提供存储桶的目标数量。\n\n可以组合 `BUCKET` 与聚合以创建直方图：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_month = COUNT(*) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT month\n```\n\n**注意**：`BUCKET` 不会创建未匹配任何文档的存储桶。因此，上一示例缺少 `1985-03-01` 和其他日期。\n\n如果需要更多存储桶，可能导致更小的范围。例如，如果一年内最多请求 100 个存储桶，会导致周期为周的存储桶：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, 100, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT week\n```\n\n**注意**：`AUTO_BUCKET` 不筛选任何行。它只会使用提供的范围来选取适当的存储桶大小。对于值超出范围的行，它会返回与超出范围的存储桶对应的存储桶值。组合 `BUCKET` 与 `WHERE` 可筛选行。\n\n如果提前已知所需存储桶大小，则只需提供它作为第二个参数，而忽略范围：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, 1 week)\n| SORT week\n```\n\n**注意**：提供存储桶大小作为第二个参数时，它必须为持续时间或日期期间。\n\n`BUCKET` 还可对数字字段执行操作。例如，要创建工资直方图：\n\n```\nFROM employees\n| STATS COUNT(*) by bs = BUCKET(salary, 20, 25324, 74999)\n| SORT bs\n```\n\n与前面的有意筛选日期范围示例不同，您极少想要筛选数值范围。您必须分别查找最小值和最大值。ES|QL 尚未提供简便方法来自动执行此操作。\n\n如果提前已知所需存储桶大小，则可以忽略该范围。只需提供它作为第二个参数即可：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS c = COUNT(1) BY b = BUCKET(salary, 5000.)\n| SORT b\n```\n\n**注意**：提供存储桶大小作为第二个参数时，它必须为 **浮点类型**。\n\n这里提供了一个示例，用于为过去 24 小时创建小时存储桶，并计算每小时的事件数：\n\n```\nFROM sample_data\n| WHERE @timestamp >= NOW() - 1 day and @timestamp < NOW()\n| STATS COUNT(*) BY bucket = BUCKET(@timestamp, 25, NOW() - 1 day, NOW())\n```\n\n这里提供了一个示例，用于为 1985 年创建月度存储桶，并按聘用月份计算平均工资：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS AVG(salary) BY bucket = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT bucket\n```\n\n`BUCKET` 可用在 `STATS … BY …` 命令的聚合和分组部分， 前提是在聚合部分中，该函数 **由在分组部分中定义的别名引用**，或使用完全相同的表达式调用。\n\n例如：\n\n```\nFROM employees\n| STATS s1 = b1 + 1, s2 = BUCKET(salary / 1000 + 999, 50.) + 2 BY b1 = BUCKET(salary / 100 + 99, 50.), b2 = BUCKET(salary / 1000 + 999, 50.)\n| SORT b1, b2\n| KEEP s1, b1, s2, b2\n```\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.binaryOperators": "二进制运算符",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.binaryOperators.markdown": "###  二进制运算符\n支持这些二进制比较运算符：\n\n* 等于：`==`\n* 不等于：`!=`\n* 小于：`<`\n* 小于或等于：`<=`\n* 大于：`>`\n* 大于或等于：`>=`\n* 加：`+`\n* 减：`-`\n* 乘：`*`\n* 除：`/`\n* 取模：`%`\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.booleanOperators": "布尔运算符",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.booleanOperators.markdown": "###  布尔运算符\n支持以下布尔运算符：\n\n* `AND`\n* `OR`\n* `NOT`\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.bucket": "BUCKET",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.bucket.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### BUCKET\n  用日期时间或数字输入创建值（存储桶）的分组。\n  存储桶的大小可以直接提供，或基于建议的计数和值范围进行选择。\n\n  ```\n  FROM employees\n  | WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n  | STATS hire_date = MV_SORT(VALUES(hire_date)) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n  | SORT hire_date\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.case": "CASE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.case.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CASE\n  接受成对的条件和值。此函数返回属于第一个\n  评估为 `true` 的条件的值。\n\n  如果参数数量为奇数，则最后一个参数为\n  在无条件匹配时返回的默认值。如果参数数量为偶数，且\n  无任何条件匹配，则此函数返回 `null`。\n\n  ```\n  FROM employees\n  | EVAL type = CASE(\n      languages <= 1, \"monolingual\",\n      languages <= 2, \"bilingual\",\n       \"polyglot\")\n  | KEEP emp_no, languages, type\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.castOperator": "Cast (::)",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.castOperator.markdown": "### CAST (`::`)\n`::` 运算符为 `TO_<type>` 类型转换函数提供了实用的替代语法。\n\n例如：\n```\nROW ver = CONCAT((\"0\"::INT + 1)::STRING, \".2.3\")::VERSION\n```\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cbrt": "CBRT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cbrt.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CBRT\n  返回数字的立方根。输入可以为任何数字值，返回值始终为双精度值。\n  无穷大的立方根为 null。\n\n  ```\n  ROW d = 1000.0\n  | EVAL c = cbrt(d)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ceil": "CEIL",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ceil.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CEIL\n  将数字四舍五入为最近的整数。\n\n  ```\n  ROW a=1.8\n  | EVAL a=CEIL(a)\n  ```\n  注意：对于 `long`（包括无符号值）和 `integer`，这相当于“无操作”。对于 `double`，这会提取最接近整数的 `double` 值，类似于 Math.ceil。\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cidr_match": "CIDR_MATCH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cidr_match.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CIDR_MATCH\n  如果提供的 IP 包含在所提供的其中一个 CIDR 块中，则返回 true。\n\n  ```\n  FROM hosts \n  | WHERE CIDR_MATCH(ip1, \"127.0.0.2/32\", \"127.0.0.3/32\") \n  | KEEP card, host, ip0, ip1\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.coalesce": "COALESCE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.coalesce.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COALESCE\n  返回它的第一个不为 null 的参数。如果所有参数均为 null，则返回 `null`。\n\n  ```\n  ROW a=null, b=\"b\"\n  | EVAL COALESCE(a, b)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.concat": "CONCAT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.concat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CONCAT\n  串联两个或多个字符串。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name\n  | EVAL fullname = CONCAT(first_name, \" \", last_name)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cos": "COS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cos.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COS\n  返回角度的余弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL cos=COS(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cosh": "COSH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.cosh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COSH\n  返回角度的双曲余弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL cosh=COSH(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_diff": "DATE_DIFF",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_diff.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_DIFF\n  从 `endTimestamp` 中减去 `startTimestamp`，并以倍数 `unit` 返回差异。\n  如果 `startTimestamp` 晚于 `endTimestamp`，则返回负值。\n\n  ```\n  ROW date1 = TO_DATETIME(\"2023-12-02T11:00:00.000Z\"), date2 = TO_DATETIME(\"2023-12-02T11:00:00.001Z\")\n  | EVAL dd_ms = DATE_DIFF(\"microseconds\", date1, date2)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_extract": "DATE_EXTRACT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_extract.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_EXTRACT\n  提取日期的某些部分，如年、月、日、小时。\n\n  ```\n  ROW date = DATE_PARSE(\"yyyy-MM-dd\", \"2022-05-06\")\n  | EVAL year = DATE_EXTRACT(\"year\", date)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_format": "DATE_FORMAT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_format.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_FORMAT\n  以提供的格式返回日期的字符串表示形式。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, hire_date\n  | EVAL hired = DATE_FORMAT(\"YYYY-MM-dd\", hire_date)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_parse": "DATE_PARSE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_parse.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_PARSE\n  通过使用在第一个参数中指定的格式来解析第二个参数，从而返回日期。\n\n  ```\n  ROW date_string = \"2022-05-06\"\n  | EVAL date = DATE_PARSE(\"yyyy-MM-dd\", date_string)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_trunc": "DATE_TRUNC",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.date_trunc.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_TRUNC\n  将日期向下舍入到最近的时间间隔。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, hire_date\n  | EVAL year_hired = DATE_TRUNC(1 year, hire_date)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.dissect": "DISSECT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.dissect.markdown": "### DISSECT\n使用 `DISSECT`，您可以从字符串中提取结构化数据。`DISSECT` 将根据基于分隔符的模式来匹配字符串，并提取指定键作为列。\n\n请参阅[分解处理器文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/dissect-processor.html)了解分解模式的语法。\n\n```\nROW a = \"1953-01-23T12:15:00Z - some text - 127.0.0.1\"\n| DISSECT a \"%'{Y}-%{M}-%{D}T%{h}:%{m}:%{s}Z - %{msg} - %{ip}'\"\n```            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.drop": "DROP",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.drop.markdown": "### DROP\n使用 `DROP` 可从表中移除列：\n              \n```\nFROM employees\n| DROP height\n```\n\n您不必按名称指定每个列，而可以使用通配符丢弃名称匹配某种模式的所有列：\n\n```\nFROM employees\n| DROP height*\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.e": "E",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.e.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### E\n  返回 Euler 函数的编号。\n\n  ```\n  ROW E()\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ends_with": "ENDS_WITH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ends_with.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ENDS_WITH\n  返回布尔值，指示关键字字符串是否以另一个字符串结尾。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_E = ENDS_WITH(last_name, \"d\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.enrich": "ENRICH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.enrich.markdown": "### ENRICH\n您可以使用 `ENRICH` 将来自现有索引的数据添加到传入记录中。它类似于[采集扩充](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html)，但作用于查询时间。\n\n```\nROW language_code = \"1\"\n| ENRICH languages_policy\n```\n\n执行 `ENRICH` 需要[扩充策略](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html#enrich-policy)。扩充策略定义一个匹配字段（键字段）和一组扩充字段。\n\n`ENRICH` 将根据匹配字段值在[扩充索引](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html#enrich-index)中查找记录。输入数据集中的匹配键可以使用 `ON <field-name>` 来定义；如果未指定，将对字段名称与在扩充策略中定义的匹配字段相同的字段执行匹配。\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a\n```\n\n您可以使用 `WITH <field1>, <field2>...` 语法指定必须将哪些属性（在那些在策略中定义为扩充字段的字段之间）添加到结果中。\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a WITH language_name\n```\n\n还可以使用 `WITH new_name=<field1>` 重命名属性\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a WITH name = language_name\n```\n\n默认情况下（如果未定义任何 `WITH`），`ENRICH` 会将在扩充策略中定义的所有扩充字段添加到结果中。\n\n如果出现名称冲突，新创建的字段将覆盖现有字段。\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.eval": "EVAL",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.eval.markdown": "### EVAL\n`EVAL` 允许您添加新列：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL height_feet = height * 3.281, height_cm = height * 100\n```\n\n如果指定列已存在，将丢弃现有列，并将新列追加到表后面：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL height = height * 3.281\n```\n\n#### 函数\n`EVAL` 支持各种用于计算值的函数。请参阅“函数”了解更多信息。\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.floor": "FLOOR",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.floor.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### FLOOR\n  将数字向下舍入到最近的整数。\n\n  ```\n  ROW a=1.8\n  | EVAL a=FLOOR(a)\n  ```\n  注意：对于 `long`（包括无符号值）和 `integer`，这相当于“无操作”。\n  对于 `double`，这会提取最接近整数的 `double` 值，\n  类似于 Math.floor。\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from": "FROM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from_base64": "FROM_BASE64",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from_base64.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### FROM_BASE64\n  解码 base64 字符串。\n\n  ```\n  row a = \"ZWxhc3RpYw==\" \n  | eval d = from_base64(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.from.markdown": "### FROM\n`FROM` 源命令返回一个表，其中最多包含 10,000 个来自数据流、索引或别名的文档。生成的表中的每一行代表一个文档。每一列对应一个字段，并可以通过该字段的名称进行访问。\n\n```\nFROM employees\n```\n\n您可以使用[日期数学表达式](https://www.elastic.co/guide/en/elasticsearch/reference/current/api-conventions.html#api-date-math-index-names)来引用索引、别名和数据流。这可能对时间序列数据非常有用。\n\n使用逗号分隔列表或通配符可查询多个数据流、索引或别名：\n\n```\nFROM employees-00001,employees-*\n```\n\n#### 元数据\n\nES|QL 可访问以下元数据字段：\n\n* `_index`：文档所属的索引。字段类型为 `keyword`.\n* `_id`：源文档的 ID。字段类型为 `keyword`.\n* `_version`：源文档的版本。字段类型为 `long`。\n\n使用 `METADATA` 指令可启用元数据字段：\n\n```\nFROM index [METADATA _index, _id]\n```\n\n元数据字段仅在数据源为索引时可用。因此，`FROM` 是唯一支持 `METADATA` 指令的源命令。\n\n启用后，这些字段将可用于后续处理命令，就像其他索引字段一样：\n\n```\nFROM ul_logs, apps [METADATA _index, _version]\n| WHERE id IN (13, 14) AND _version == 1\n| EVAL key = CONCAT(_index, \"_\", TO_STR(id))\n| SORT id, _index\n| KEEP id, _index, _version, key\n```\n\n此外，与索引字段类似，一旦执行了聚合，后续命令将无法再访问元数据字段，除非它用作分组字段：\n\n```\nFROM employees [METADATA _index, _id]\n| STATS max = MAX(emp_no) BY _index\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.greatest": "GREATEST",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.greatest.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### GREATEST\n  返回多个列中的最大值。除了可一次对多个列运行以外，\n  此函数与 `MV_MAX` 类似。\n\n  ```\n  ROW a = 10, b = 20\n  | EVAL g = GREATEST(a, b)\n  ```\n  注意：对 `keyword` 或 `text` 字段运行时，此函数将按字母顺序返回最后一个字符串。对 `boolean` 列运行时，如果任何值为 `true`，此函数将返回 `true`。\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.grok": "GROK",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.grok.markdown": "### GROK\n使用 `GROK`，您可以从字符串中提取结构化数据。`GROK` 将基于正则表达式根据模式来匹配字符串，并提取指定模式作为列。\n\n请参阅 [grok 处理器文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/grok-processor.html)了解 grok 模式的语法。\n\n```\nROW a = \"12 15.5 15.6 true\"\n| GROK a \"%'{NUMBER:b:int}' %'{NUMBER:c:float}' %'{NUMBER:d:double}' %'{WORD:e:boolean}'\"\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.inOperator": "IN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.inOperator.markdown": "### IN\n`IN` 运算符允许测试字段或表达式是否等于文本、字段或表达式列表中的元素：\n\n```\nROW a = 1, b = 4, c = 3\n| WHERE c-a IN (3, b / 2, a)\n```\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ip_prefix": "IP_PREFIX",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ip_prefix.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### IP_PREFIX\n  截短 IP 至给定的前缀长度。\n\n  ```\n  row ip4 = to_ip(\"1.2.3.4\"), ip6 = to_ip(\"fe80::cae2:65ff:fece:feb9\")\n  | eval ip4_prefix = ip_prefix(ip4, 24, 0), ip6_prefix = ip_prefix(ip6, 0, 112);\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.keep": "KEEP",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.keep.markdown": "### KEEP\n使用 `KEEP` 命令，您可以指定将返回哪些列以及返回这些列的顺序。\n\n要限制返回的列数，请使用列名的逗号分隔列表。将按指定顺序返回这些列：\n              \n```\nFROM employees\n| KEEP first_name, last_name, height\n```\n\n您不必按名称指定每个列，而可以使用通配符返回名称匹配某种模式的所有列：\n\n```\nFROM employees\n| KEEP h*\n```\n\n星号通配符 (`*`) 自身将转换为不与其他参数匹配的所有列。此查询将首先返回所有名称以 h 开头的所有列，随后返回所有其他列：\n\n```\nFROM employees\n| KEEP h*, *\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.least": "LEAST",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.least.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LEAST\n  返回多个列中的最小值。除了可一次对多个列运行以外，此函数与 `MV_MIN` 类似。\n\n  ```\n  ROW a = 10, b = 20\n  | EVAL l = LEAST(a, b)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.left": "LEFT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.left.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LEFT\n  返回从“字符串”中提取“长度”字符的子字符串，从左侧开始。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL left = LEFT(last_name, 3)\n  | SORT last_name ASC\n  | LIMIT 5\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.length": "LENGTH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.length.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LENGTH\n  返回字符串的字符长度。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name\n  | EVAL fn_length = LENGTH(first_name)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.limit": "LIMIT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.limit.markdown": "### LIMIT\n`LIMIT` 处理命令允许您限制行数：\n              \n```\nFROM employees\n| LIMIT 5\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.locate": "LOCATE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.locate.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOCATE\n  返回一个整数，指示关键字子字符串在另一字符串中的位置\n\n  ```\n  row a = \"hello\"\n  | eval a_ll = locate(a, \"ll\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.log": "LOG",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.log.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOG\n  以某底数返回值的对数。输入可以为任何数字值，返回值始终为双精度值。\n\n  求零、负数的对数，以及底数为一时将返回 `null`，并显示警告。\n\n  ```\n  ROW base = 2.0, value = 8.0\n  | EVAL s = LOG(base, value)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.log10": "LOG10",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.log10.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOG10\n  以底数 10 返回值的对数。输入可以为任何数字值，返回值始终为双精度值。\n\n  求 0 和负数的对数时将返回 `null`，并显示警告。\n\n  ```\n  ROW d = 1000.0 \n  | EVAL s = LOG10(d)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ltrim": "LTRIM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.ltrim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LTRIM\n  从字符串中移除前导空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = LTRIM(message)\n  | EVAL color = LTRIM(color)\n  | EVAL message = CONCAT(\"'\", message, \"'\")\n  | EVAL color = CONCAT(\"'\", color, \"'\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.markdown": "## ES|QL\n\nES|QL（Elasticsearch 查询语言）查询包含一系列命令，它们用管道字符分隔：`|`。每个查询以**源命令**开头，它会生成一个表，其中通常包含来自 Elasticsearch 的数据。\n\n源命令可后接一个或多个**处理命令**。处理命令可通过添加、移除以及更改行和列来更改前一个命令的输出表。\n\n```\nsource-command\n| processing-command1\n| processing-command2\n```\n\n查询的结果为由最后的处理命令生成的表。                                  \n                                      ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_append": "MV_APPEND",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_append.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_APPEND\n  串联两个多值字段的值。\n\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_avg": "MV_AVG",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_avg.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_AVG\n  将多值字段转换为包含所有值的平均值的单值字段。\n\n  ```\n  ROW a=[3, 5, 1, 6]\n  | EVAL avg_a = MV_AVG(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_concat": "MV_CONCAT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_concat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_CONCAT\n  将多值字符串表达式转换为单值列，其中包含由分隔符分隔的所有值的串联形式。\n\n  ```\n  ROW a=[\"foo\", \"zoo\", \"bar\"]\n  | EVAL j = MV_CONCAT(a, \", \")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_count": "MV_COUNT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_count.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_COUNT\n  将多值表达式转换为包含值计数的单值列。\n\n  ```\n  ROW a=[\"foo\", \"zoo\", \"bar\"]\n  | EVAL count_a = MV_COUNT(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_dedupe": "MV_DEDUPE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_dedupe.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_DEDUPE\n  移除多值字段中的重复值。\n\n  ```\n  ROW a=[\"foo\", \"foo\", \"bar\", \"foo\"]\n  | EVAL dedupe_a = MV_DEDUPE(a)\n  ```\n  注意：`MV_DEDUPE` 可能但不会始终对列中的值进行排序。\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_first": "MV_FIRST",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_first.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_FIRST\n  将多值表达式转换为包含第一个值的\n  单值列。这在从按已知顺序发出多值列的\n  函数（如 `SPLIT`）中读取数据时尤其有用。\n\n  无法保证从底层存储\n  读取多值字段的顺序。它 *通常* 为升序，但不应\n  依赖于此。如果需要最小值，请使用 `MV_MIN` 而不是\n  `MV_FIRST`。`MV_MIN` 针对排序值进行了优化，因此\n  对 `MV_FIRST` 没有性能优势。\n\n  ```\n  ROW a=\"foo;bar;baz\"\n  | EVAL first_a = MV_FIRST(SPLIT(a, \";\"))\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_last": "MV_LAST",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_last.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_LAST\n  将多值表达式转换为包含最后一个值的单值\n  列。这在从按已知顺序发出多值列的函数\n  （如 `SPLIT`）中读取数据时尤其有用。\n\n  无法保证从底层存储\n  读取多值字段的顺序。它 *通常* 为升序，但不应\n  依赖于此。如果需要最大值，请使用 `MV_MAX` 而不是\n  `MV_LAST`。`MV_MAX` 针对排序值进行了优化，因此\n  对 `MV_LAST` 没有性能优势。\n\n  ```\n  ROW a=\"foo;bar;baz\"\n  | EVAL last_a = MV_LAST(SPLIT(a, \";\"))\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_max": "MV_MAX",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_max.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MAX\n  将多值表达式转换为包含最大值的单值列。\n\n  ```\n  ROW a=[3, 5, 1]\n  | EVAL max_a = MV_MAX(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_median": "MV_MEDIAN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_median.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MEDIAN\n  将多值字段转换为包含中位数值的单值字段。\n\n  ```\n  ROW a=[3, 5, 1]\n  | EVAL median_a = MV_MEDIAN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_min": "MV_MIN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_min.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MIN\n  将多值表达式转换为包含最小值的单值列。\n\n  ```\n  ROW a=[2, 1]\n  | EVAL min_a = MV_MIN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_slice": "MV_SLICE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_slice.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SLICE\n  使用起始和结束索引值返回多值字段的子集。\n\n  ```\n  row a = [1, 2, 2, 3]\n  | eval a1 = mv_slice(a, 1), a2 = mv_slice(a, 2, 3)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_sort": "MV_SORT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_sort.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SORT\n  按字典顺序对多值字段排序。\n\n  ```\n  ROW a = [4, 2, -3, 2]\n  | EVAL sa = mv_sort(a), sd = mv_sort(a, \"DESC\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_sum": "MV_SUM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_sum.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SUM\n  将多值字段转换为包含所有值的总和的单值字段。\n\n  ```\n  ROW a=[3, 5, 6]\n  | EVAL sum_a = MV_SUM(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_zip": "MV_ZIP",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_zip.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_ZIP\n  组合两个使用分隔符联接在一起的多值字段中的值。\n\n  ```\n  ROW a = [\"x\", \"y\", \"z\"], b = [\"1\", \"2\"]\n  | EVAL c = mv_zip(a, b, \"-\")\n  | KEEP a, b, c\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mvExpand": "MV_EXPAND",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mvExpand.markdown": "### MV_EXPAND\n`MV_EXPAND` 处理命令将多值字段扩展成每个值一行，从而复制其他字段：             \n```\nROW a=[1,2,3], b=\"b\", j=[\"a\",\"b\"]\n| MV_EXPAND a\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.now": "NOW",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.now.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### NOW\n  返回当前日期和时间。\n\n  ```\n  ROW current_date = NOW()\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.pi": "PI",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.pi.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### PI\n  返回 Pi，即圆的周长与其直径的比率。\n\n  ```\n  ROW PI()\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.pow": "POW",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.pow.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### POW\n  返回提升为 `exponent` 幂的 `base` 的值。\n\n  ```\n  ROW base = 2.0, exponent = 2\n  | EVAL result = POW(base, exponent)\n  ```\n  注意：此处仍可能使双精度结果溢出；在该情况下，将返回 null。\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.predicates": "Null 值",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.predicates.markdown": "### NULL 值\n对于 NULL 比较，请使用 `IS NULL` 和 `IS NOT NULL` 谓词：\n\n```\nFROM employees\n| WHERE birth_date IS NULL\n| KEEP first_name, last_name\n| SORT first_name\n| LIMIT 3\n```\n\n```\nFROM employees\n| WHERE is_rehired IS NOT NULL\n| STATS count(emp_no)\n```\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rename": "RENAME",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rename.markdown": "### RENAME\n请使用 `RENAME` 通过以下语法对列重命名：\n\n```\nRENAME <old-name> AS <new-name>\n```\n\n例如：\n\n```\nFROM employees\n| KEEP first_name, last_name, still_hired\n| RENAME still_hired AS employed\n```\n\n如果使用新名称的列已存在，将用新列替换该列。\n\n可以使用单个 `RENAME` 命令对多个列重命名：\n\n```\nFROM employees\n| KEEP first_name, last_name\n| RENAME first_name AS fn, last_name AS ln\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.repeat": "REPEAT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.repeat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### REPEAT\n  返回通过串联 `string` 自身与指定次数 `number` 构造而成的字符串。\n\n  ```\n  ROW a = \"Hello!\"\n  | EVAL triple_a = REPEAT(a, 3);\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.replace": "REPLACE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.replace.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### REPLACE\n  此函数将字符串 `str` 中正则表达式 `regex` 的任何匹配项\n  替换为替代字符串 `newStr`。\n\n  ```\n  ROW str = \"Hello World\"\n  | EVAL str = REPLACE(str, \"World\", \"Universe\")\n  | KEEP str\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.right": "RIGHT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.right.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### RIGHT\n  返回从“字符串”中提取“长度”字符的子字符串，从右侧开始。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL right = RIGHT(last_name, 3)\n  | SORT last_name ASC\n  | LIMIT 5\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.round": "ROUND",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.round.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ROUND\n  将数字舍入到指定小数位数。\n  默认值为 0，即返回最近的整数。如果\n  精确度为负数，则将数字舍入到\n  小数点左侧的位数。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, height\n  | EVAL height_ft = ROUND(height * 3.281, 1)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.row": "ROW",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.row.markdown": "### ROW\n`ROW` 源命令会生成一个行，其中包含一个或多个含有您指定的值的列。这可以用于测试。\n              \n```\nROW a = 1, b = \"two\", c = null\n```\n\n请使用方括号创建多值列：\n\n```\nROW a = [2, 1]\n```\n\nROW 支持使用函数：\n\n```\nROW a = ROUND(1.23, 0)\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rtrim": "RTRIM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.rtrim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### RTRIM\n  从字符串中移除尾随空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = RTRIM(message)\n  | EVAL color = RTRIM(color)\n  | EVAL message = CONCAT(\"'\", message, \"'\")\n  | EVAL color = CONCAT(\"'\", color, \"'\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.show": "SHOW",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.show.markdown": "### SHOW\n`SHOW <item>` 源命令返回有关部署及其功能的信息：\n\n* 使用 `SHOW INFO` 可返回部署的版本、构建日期和哈希。\n* 使用 `SHOW FUNCTIONS` 可返回所有受支持函数的列表和每个函数的概要。\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.signum": "SIGNUM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.signum.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SIGNUM\n  返回给定数字的符号。\n  它对负数返回 `-1`，对 `0` 返回 `0`，对正数返回 `1`。\n\n  ```\n  ROW d = 100.0\n  | EVAL s = SIGNUM(d)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sin": "SIN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sin.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SIN\n  返回角度的正弦三角函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL sin=SIN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sinh": "SINH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sinh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SINH\n  返回角度的双曲正弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL sinh=SINH(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sort": "SORT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sort.markdown": "### SORT\n使用 `SORT` 命令可对一个或多个字段上的行排序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height\n```\n\n默认排序顺序为升序。请使用 `ASC` 或 `DESC` 设置显式排序顺序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height DESC\n```\n\n如果两个行具有相同的排序键，则保留原始顺序。您可以提供其他排序表达式充当连接断路器：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height DESC, first_name ASC\n```\n\n#### `null` 值\n默认情况下，会将 `null` 值视为大于任何其他值。使用升序排序顺序时，会最后对 `null` 值排序，而使用降序排序顺序时，会首先对 `null` 值排序。您可以通过提供 `NULLS FIRST` 或 `NULLS LAST` 来更改该排序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT first_name ASC NULLS FIRST\n```\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.split": "SPLIT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.split.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SPLIT\n  将单值字符串拆分成多个字符串。\n\n  ```\n  ROW words=\"foo;bar;baz;qux;quux;corge\"\n  | EVAL word = SPLIT(words, \";\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sqrt": "SQRT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.sqrt.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SQRT\n  返回数字的平方根。输入可以为任何数字值，返回值始终为双精度值。\n  负数和无穷大的平方根为 null。\n\n  ```\n  ROW d = 100.0\n  | EVAL s = SQRT(d)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_contains": "ST_CONTAINS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_contains.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_CONTAINS\n  返回第一个几何形状是否包含第二个几何形状。\n  这是 `ST_WITHIN` 函数的反向函数。\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_CONTAINS(city_boundary, TO_GEOSHAPE(\"POLYGON((109.35 18.3, 109.45 18.3, 109.45 18.4, 109.35 18.4, 109.35 18.3))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_disjoint": "ST_DISJOINT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_disjoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_DISJOINT\n  返回两个几何图形或几何图形列是否不相交。\n  这是 `ST_INTERSECTS` 函数的反向函数。\n  从数学上讲：ST_Disjoint(A, B) ⇔ A ⋂ B = ∅\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_DISJOINT(city_boundary, TO_GEOSHAPE(\"POLYGON((-10 -60, 120 -60, 120 60, -10 60, -10 -60))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_distance": "ST_DISTANCE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_distance.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_DISTANCE\n  计算两点之间的距离。\n  对于笛卡尔几何形状，这是以相同单位作为原始坐标时的毕达哥拉斯距离。\n  对于地理几何形状而言，这是沿着地球大圆的圆周距离（以米为单位）。\n\n  ```\n  FROM airports\n  | WHERE abbrev == \"CPH\"\n  | EVAL distance = ST_DISTANCE(location, city_location)\n  | KEEP abbrev, name, location, city_location, distance\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_intersects": "ST_INTERSECTS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_intersects.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_INTERSECTS\n  如果两个几何形状相交，则返回 true。\n  如果它们有任何共同点，包括其内点\n  （沿线的点或多边形内的点），则表示它们相交。\n  这是 `ST_DISJOINT` 函数的反向函数。\n  从数学上讲：ST_Intersects(A, B) ⇔ A ⋂ B ≠ ∅\n\n  ```\n  FROM airports\n  | WHERE ST_INTERSECTS(location, TO_GEOSHAPE(\"POLYGON((42 14, 43 14, 43 15, 42 15, 42 14))\"))\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_within": "ST_WITHIN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_within.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_WITHIN\n  返回第一个几何形状是否在第二个几何形状内。\n  这是 `ST_CONTAINS` 函数的反向函数。\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_WITHIN(city_boundary, TO_GEOSHAPE(\"POLYGON((109.1 18.15, 109.6 18.15, 109.6 18.65, 109.1 18.65, 109.1 18.15))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_x": "ST_X",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_x.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_X\n  从提供的点中提取 `x` 坐标。\n  如果点的类型为 `geo_point`，则这等同于提取 `longitude` 值。\n\n  ```\n  ROW point = TO_GEOPOINT(\"POINT(42.97109629958868 14.7552534006536)\")\n  | EVAL x =  ST_X(point), y = ST_Y(point)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_y": "ST_Y",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.st_y.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_Y\n  从提供的点中提取 `y` 坐标。\n  如果点的类型为 `geo_point`，则这等同于提取 `latitude` 值。\n\n  ```\n  ROW point = TO_GEOPOINT(\"POINT(42.97109629958868 14.7552534006536)\")\n  | EVAL x =  ST_X(point), y = ST_Y(point)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.starts_with": "STARTS_WITH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.starts_with.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### STARTS_WITH\n  返回指示关键字字符串是否以另一个字符串开头的布尔值。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_S = STARTS_WITH(last_name, \"B\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.statsby": "STATS ...BY",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.statsby.markdown": "### STATS ...BY\n使用 `STATS ...BY` 可根据公共值对行分组，并计算已分组行中的一个或多个聚合值。\n\n**示例**：\n\n```\nFROM employees\n| STATS count = COUNT(emp_no) BY languages\n| SORT languages\n```\n\n如果省略 `BY`，输出表实际将包含一行，其中为应用于整个数据集的聚合：\n\n```\nFROM employees\n| STATS avg_lang = AVG(languages)\n```\n\n可以计算多个值：\n\n```\nFROM employees\n| STATS avg_lang = AVG(languages), max_lang = MAX(languages)\n```\n\n也可以按多个值分组（仅长整型和关键字家族字段支持）：\n\n```\nFROM employees\n| EVAL hired = DATE_FORMAT(hire_date, \"YYYY\")\n| STATS avg_salary = AVG(salary) BY hired, languages.long\n| EVAL avg_salary = ROUND(avg_salary)\n| SORT hired, languages.long\n```\n\n请参阅**聚合函数**获取可与 `STATS ...BY` 搭配使用的函数列表。\n\n聚合函数和分组表达式均接受其他函数。这在对多值列使用 `STATS...BY` 时有用。例如，要计算平均工资变动，可以首先使用 `MV_AVG` 对每名员工的多个值求平均值，然后将结果用于 `AVG` 函数：\n\n```\nFROM employees\n| STATS avg_salary_change = AVG(MV_AVG(salary_change))\n```\n\n按表达式分组的示例为根据员工姓氏的第一个字母对其进行分组：\n\n```\nFROM employees\n| STATS my_count = COUNT() BY LEFT(last_name, 1)\n| SORT `LEFT(last_name, 1)`\n```\n\n指定输出列名称为可选操作。如果未指定，新列名称等于该表达式。以下查询将返回名为 `AVG(salary)` 的列：\n\n```\nFROM employees\n| STATS AVG(salary)\n```\n\n由于此名称包含特殊字符，在后续命令中使用该名称时，需要用反撇号 (`) 引用它：\n\n```\nFROM employees\n| STATS AVG(salary)\n| EVAL avg_salary_rounded = ROUND(`AVG(salary)`)\n```\n\n**注意**：不包含任何组的 `STATS` 比添加组更快。\n\n**注意**：当前，根据单一表达式进行分组比根据许多表达式进行分组更为优化。\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.stringOperators": "LIKE 和 RLIKE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.stringOperators.markdown": "### LIKE 和 RLIKE\n使用通配符或正则表达式比较字符串时，请使用 `LIKE` 或 `RLIKE`：\n\n使用 `LIKE` 时，可使用通配符来匹配字符串。支持以下通配符字符：\n\n* `*` 匹配零个或更多字符。\n* `?` 匹配一个字符。\n\n```\nFROM employees\n| WHERE first_name LIKE \"?b*\"\n| KEEP first_name, last_name\n```\n\n使用 `RLIKE` 时，可使用正则表达式来匹配字符串：\n\n```\nFROM employees\n| WHERE first_name RLIKE \".leja.*\"\n| KEEP first_name, last_name\n```\n              ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.substring": "SUBSTRING",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.substring.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SUBSTRING\n  返回字符串的子字符串，用起始位置和可选长度指定\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_sub = SUBSTRING(last_name, 1, 3)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tan": "TAN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tan.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TAN\n  返回角度的正切三角函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL tan=TAN(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tanh": "TANH",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tanh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TANH\n  返回角度的双曲正切函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL tanh=TANH(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tau": "TAU",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.tau.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TAU\n  返回圆的圆周长与其半径的比率。\n\n  ```\n  ROW TAU()\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_base64": "TO_BASE64",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_base64.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_BASE64\n  将字符串编码为 base64 字符串。\n\n  ```\n  row a = \"elastic\" \n  | eval e = to_base64(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_boolean": "TO_BOOLEAN",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_boolean.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_BOOLEAN\n  将输入值转换为布尔值。\n  字符串值 *true* 将不区分大小写并被转换为布尔值 *true*。\n  对于任何其他值，包括空字符串，此函数将返回 *false*。\n  数字值 *0* 将转换为 *false*，任何其他值将转换为 *true*。\n\n  ```\n  ROW str = [\"true\", \"TRuE\", \"false\", \"\", \"yes\", \"1\"]\n  | EVAL bool = TO_BOOLEAN(str)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_cartesianpoint": "TO_CARTESIANPOINT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_cartesianpoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_CARTESIANPOINT\n  将输入值转换为 `cartesian_point` 值。\n  字符串只有符合 WKT 点格式时，才能成功转换。\n\n  ```\n  ROW wkt = [\"POINT(4297.11 -1475.53)\", \"POINT(7580.93 2272.77)\"]\n  | MV_EXPAND wkt\n  | EVAL pt = TO_CARTESIANPOINT(wkt)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_cartesianshape": "TO_CARTESIANSHAPE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_cartesianshape.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_CARTESIANSHAPE\n  将输入值转换为 `cartesian_shape` 值。\n  字符串只有符合 WKT 格式时，才能成功转换。\n\n  ```\n  ROW wkt = [\"POINT(4297.11 -1475.53)\", \"POLYGON ((3339584.72 1118889.97, 4452779.63 4865942.27, 2226389.81 4865942.27, 1113194.90 2273030.92, 3339584.72 1118889.97))\"]\n  | MV_EXPAND wkt\n  | EVAL geom = TO_CARTESIANSHAPE(wkt)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_datetime": "TO_DATETIME",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_datetime.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DATETIME\n  将输入值转换为日期值。\n  仅当字符串采用 `yyyy-MM-dd'T'HH:mm:ss.SSS'Z'` 格式时，才可进行成功转换。\n  要转换其他格式的日期，请使用 `DATE_PARSE`。\n\n  ```\n  ROW string = [\"1953-09-02T00:00:00.000Z\", \"1964-06-02T00:00:00.000Z\", \"1964-06-02 00:00:00\"]\n  | EVAL datetime = TO_DATETIME(string)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_degrees": "TO_DEGREES",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_degrees.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DEGREES\n  将弧度转换为度数。\n\n  ```\n  ROW rad = [1.57, 3.14, 4.71]\n  | EVAL deg = TO_DEGREES(rad)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_double": "TO_DOUBLE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_double.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DOUBLE\n  将输入值转换为双精度值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，\n  并转换为双精度值。布尔值 *true* 将转换为双精度值 *1.0*，*false* 转换为 *0.0*。\n\n  ```\n  ROW str1 = \"5.20128E11\", str2 = \"foo\"\n  | EVAL dbl = TO_DOUBLE(\"520128000000\"), dbl1 = TO_DOUBLE(str1), dbl2 = TO_DOUBLE(str2)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_geopoint": "TO_GEOPOINT",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_geopoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_GEOPOINT\n  将输入值转换为 `geo_point` 值。\n  字符串只有符合 WKT 点格式时，才能成功转换。\n\n  ```\n  ROW wkt = \"POINT(42.97109630194 14.7552534413725)\"\n  | EVAL pt = TO_GEOPOINT(wkt)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_geoshape": "TO_GEOSHAPE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_geoshape.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_GEOSHAPE\n  将输入值转换为 `geo_shape` 值。\n  字符串只有符合 WKT 格式时，才能成功转换。\n\n  ```\n  ROW wkt = \"POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10))\"\n  | EVAL geom = TO_GEOSHAPE(wkt)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_integer": "TO_INTEGER",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_integer.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_INTEGER\n  将输入值转换为整数值。\n  如果输入参数为日期类型，会将其值解析为自 Unix epoch 以来\n  的毫秒数，并转换为整数。\n  布尔值 *true* 将转换为整数 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW long = [5013792, 2147483647, 501379200000]\n  | EVAL int = TO_INTEGER(long)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_ip": "TO_IP",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_ip.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_IP\n  将输入字符串转换为 IP 值。\n\n  ```\n  ROW str1 = \"1.1.1.1\", str2 = \"foo\"\n  | EVAL ip1 = TO_IP(str1), ip2 = TO_IP(str2)\n  | WHERE CIDR_MATCH(ip1, \"1.0.0.0/8\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_long": "TO_LONG",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_long.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_LONG\n  将输入值转换为长整型值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，并转换为长整型值。\n  布尔值 *true* 将转换为长整型值 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW str1 = \"2147483648\", str2 = \"2147483648.2\", str3 = \"foo\"\n  | EVAL long1 = TO_LONG(str1), long2 = TO_LONG(str2), long3 = TO_LONG(str3)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_lower": "TO_LOWER",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_lower.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_LOWER\n  返回一个新字符串，表示已将输入字符串转为小写。\n\n  ```\n  ROW message = \"Some Text\"\n  | EVAL message_lower = TO_LOWER(message)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_radians": "TO_RADIANS",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_radians.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_RADIANS\n  将度数转换为弧度。\n\n  ```\n  ROW deg = [90.0, 180.0, 270.0]\n  | EVAL rad = TO_RADIANS(deg)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_string": "TO_STRING",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_string.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_STRING\n  将输入值转换为字符串。\n\n  ```\n  ROW a=10\n  | EVAL j = TO_STRING(a)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_unsigned_long": "TO_UNSIGNED_LONG",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_unsigned_long.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_UNSIGNED_LONG\n  将输入值转换为无符号长整型值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，并转换为无符号长整型值。\n  布尔值 *true* 将转换为无符号长整型值 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW str1 = \"2147483648\", str2 = \"2147483648.2\", str3 = \"foo\"\n  | EVAL long1 = TO_UNSIGNED_LONG(str1), long2 = TO_ULONG(str2), long3 = TO_UL(str3)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_upper": "TO_UPPER",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_upper.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_UPPER\n  返回一个新字符串，表示已将输入字符串转为大写。\n\n  ```\n  ROW message = \"Some Text\"\n  | EVAL message_upper = TO_UPPER(message)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_version": "TO_VERSION",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.to_version.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_VERSION\n  将输入字符串转换为版本值。\n\n  ```\n  ROW v = TO_VERSION(\"1.2.3\")\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.trim": "TRIM",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.trim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TRIM\n  从字符串中移除前导和尾随空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = TRIM(message)\n  | EVAL color = TRIM(color)\n  ```\n  ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.where": "WHERE",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.where.markdown": "### WHERE\n使用 `WHERE` 可生成一个表，其中包含输入表中所提供的条件评估为 `true` 的所有行：\n              \n```\nFROM employees\n| KEEP first_name, last_name, still_hired\n| WHERE still_hired == true\n```\n\n#### 运算符\n\n请参阅**运算符**了解所支持的运算符的概览。\n\n#### 函数\n`WHERE` 支持各种用于计算值的函数。请参阅**函数**了解更多信息。\n            ",
-    "textBasedEditor.query.textBasedLanguagesEditor.documentationLabel": "文档",
+    "languageDocumentationPopover.documentationESQL.abs": "ABS",
+    "languageDocumentationPopover.documentationESQL.abs.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ABS\n  返回绝对值。\n\n  ```\n  ROW number = -1.0 \n  | EVAL abs_number = ABS(number)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.acos": "ACOS",
+    "languageDocumentationPopover.documentationESQL.acos.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ACOS\n  返回 `n` 的反余弦作为角度，以弧度表示。\n\n  ```\n  ROW a=.9\n  | EVAL acos=ACOS(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.asin": "ASIN",
+    "languageDocumentationPopover.documentationESQL.asin.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ASIN\n  返回输入数字表达式的反正弦\n  作为角度，以弧度表示。\n\n  ```\n  ROW a=.9\n  | EVAL asin=ASIN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.atan": "ATAN",
+    "languageDocumentationPopover.documentationESQL.atan.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ATAN\n  返回输入数字表达式的反正切\n  作为角度，以弧度表示。\n\n  ```\n  ROW a=12.9\n  | EVAL atan=ATAN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.atan2": "ATAN2",
+    "languageDocumentationPopover.documentationESQL.atan2.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ATAN2\n  笛卡儿平面中正 x 轴\n  与从原点到点 (x , y) 构成的射线之间的角度，以弧度表示。\n\n  ```\n  ROW y=12.9, x=.6\n  | EVAL atan2=ATAN2(y, x)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.autoBucketFunction": "BUCKET",
+    "languageDocumentationPopover.documentationESQL.autoBucketFunction.markdown": "### BUCKET\n用日期时间或数字输入创建值（存储桶）的分组。存储桶的大小可以直接提供，或基于建议的计数和值范围进行选择。\n\n`BUCKET` 以两种模式运行：\n\n1.在此模式下基于存储桶计数建议（四个参数）和范围计算存储桶的大小。\n2.在此模式下直接提供存储桶大小（两个参数）。\n\n使用存储桶的目标数量、起始范围和结束范围，`BUCKET` 将选取适当的存储桶大小以生成目标数量或更小数量的存储桶。\n\n例如，一年请求多达 20 个存储桶会按每月时间间隔组织数据：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hire_date = MV_SORT(VALUES(hire_date)) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT hire_date\n```\n\n**注意**：目标并不是提供存储桶的确切目标数量，而是选择一个范围，最多提供存储桶的目标数量。\n\n可以组合 `BUCKET` 与聚合以创建直方图：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_month = COUNT(*) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT month\n```\n\n**注意**：`BUCKET` 不会创建未匹配任何文档的存储桶。因此，上一示例缺少 `1985-03-01` 和其他日期。\n\n如果需要更多存储桶，可能导致更小的范围。例如，如果一年内最多请求 100 个存储桶，会导致周期为周的存储桶：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, 100, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT week\n```\n\n**注意**：`AUTO_BUCKET` 不筛选任何行。它只会使用提供的范围来选取适当的存储桶大小。对于值超出范围的行，它会返回与超出范围的存储桶对应的存储桶值。组合 `BUCKET` 与 `WHERE` 可筛选行。\n\n如果提前已知所需存储桶大小，则只需提供它作为第二个参数，而忽略范围：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, 1 week)\n| SORT week\n```\n\n**注意**：提供存储桶大小作为第二个参数时，它必须为持续时间或日期期间。\n\n`BUCKET` 还可对数字字段执行操作。例如，要创建工资直方图：\n\n```\nFROM employees\n| STATS COUNT(*) by bs = BUCKET(salary, 20, 25324, 74999)\n| SORT bs\n```\n\n与前面的有意筛选日期范围示例不同，您极少想要筛选数值范围。您必须分别查找最小值和最大值。ES|QL 尚未提供简便方法来自动执行此操作。\n\n如果提前已知所需存储桶大小，则可以忽略该范围。只需提供它作为第二个参数即可：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS c = COUNT(1) BY b = BUCKET(salary, 5000.)\n| SORT b\n```\n\n**注意**：提供存储桶大小作为第二个参数时，它必须为 **浮点类型**。\n\n这里提供了一个示例，用于为过去 24 小时创建小时存储桶，并计算每小时的事件数：\n\n```\nFROM sample_data\n| WHERE @timestamp >= NOW() - 1 day and @timestamp < NOW()\n| STATS COUNT(*) BY bucket = BUCKET(@timestamp, 25, NOW() - 1 day, NOW())\n```\n\n这里提供了一个示例，用于为 1985 年创建月度存储桶，并按聘用月份计算平均工资：\n\n```\nFROM employees\n| WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n| STATS AVG(salary) BY bucket = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n| SORT bucket\n```\n\n`BUCKET` 可用在 `STATS … BY …` 命令的聚合和分组部分， 前提是在聚合部分中，该函数 **由在分组部分中定义的别名引用**，或使用完全相同的表达式调用。\n\n例如：\n\n```\nFROM employees\n| STATS s1 = b1 + 1, s2 = BUCKET(salary / 1000 + 999, 50.) + 2 BY b1 = BUCKET(salary / 100 + 99, 50.), b2 = BUCKET(salary / 1000 + 999, 50.)\n| SORT b1, b2\n| KEEP s1, b1, s2, b2\n```\n              ",
+    "languageDocumentationPopover.documentationESQL.binaryOperators": "二进制运算符",
+    "languageDocumentationPopover.documentationESQL.binaryOperators.markdown": "###  二进制运算符\n支持这些二进制比较运算符：\n\n* 等于：`==`\n* 不等于：`!=`\n* 小于：`<`\n* 小于或等于：`<=`\n* 大于：`>`\n* 大于或等于：`>=`\n* 加：`+`\n* 减：`-`\n* 乘：`*`\n* 除：`/`\n* 取模：`%`\n              ",
+    "languageDocumentationPopover.documentationESQL.booleanOperators": "布尔运算符",
+    "languageDocumentationPopover.documentationESQL.booleanOperators.markdown": "###  布尔运算符\n支持以下布尔运算符：\n\n* `AND`\n* `OR`\n* `NOT`\n              ",
+    "languageDocumentationPopover.documentationESQL.bucket": "BUCKET",
+    "languageDocumentationPopover.documentationESQL.bucket.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### BUCKET\n  用日期时间或数字输入创建值（存储桶）的分组。\n  存储桶的大小可以直接提供，或基于建议的计数和值范围进行选择。\n\n  ```\n  FROM employees\n  | WHERE hire_date >= \"1985-01-01T00:00:00Z\" AND hire_date < \"1986-01-01T00:00:00Z\"\n  | STATS hire_date = MV_SORT(VALUES(hire_date)) BY month = BUCKET(hire_date, 20, \"1985-01-01T00:00:00Z\", \"1986-01-01T00:00:00Z\")\n  | SORT hire_date\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.case": "CASE",
+    "languageDocumentationPopover.documentationESQL.case.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CASE\n  接受成对的条件和值。此函数返回属于第一个\n  评估为 `true` 的条件的值。\n\n  如果参数数量为奇数，则最后一个参数为\n  在无条件匹配时返回的默认值。如果参数数量为偶数，且\n  无任何条件匹配，则此函数返回 `null`。\n\n  ```\n  FROM employees\n  | EVAL type = CASE(\n      languages <= 1, \"monolingual\",\n      languages <= 2, \"bilingual\",\n       \"polyglot\")\n  | KEEP emp_no, languages, type\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.castOperator": "Cast (::)",
+    "languageDocumentationPopover.documentationESQL.castOperator.markdown": "### CAST (`::`)\n`::` 运算符为 `TO_<type>` 类型转换函数提供了实用的替代语法。\n\n例如：\n```\nROW ver = CONCAT((\"0\"::INT + 1)::STRING, \".2.3\")::VERSION\n```\n              ",
+    "languageDocumentationPopover.documentationESQL.cbrt": "CBRT",
+    "languageDocumentationPopover.documentationESQL.cbrt.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CBRT\n  返回数字的立方根。输入可以为任何数字值，返回值始终为双精度值。\n  无穷大的立方根为 null。\n\n  ```\n  ROW d = 1000.0\n  | EVAL c = cbrt(d)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.ceil": "CEIL",
+    "languageDocumentationPopover.documentationESQL.ceil.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CEIL\n  将数字四舍五入为最近的整数。\n\n  ```\n  ROW a=1.8\n  | EVAL a=CEIL(a)\n  ```\n  注意：对于 `long`（包括无符号值）和 `integer`，这相当于“无操作”。对于 `double`，这会提取最接近整数的 `double` 值，类似于 Math.ceil。\n  ",
+    "languageDocumentationPopover.documentationESQL.cidr_match": "CIDR_MATCH",
+    "languageDocumentationPopover.documentationESQL.cidr_match.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CIDR_MATCH\n  如果提供的 IP 包含在所提供的其中一个 CIDR 块中，则返回 true。\n\n  ```\n  FROM hosts \n  | WHERE CIDR_MATCH(ip1, \"127.0.0.2/32\", \"127.0.0.3/32\") \n  | KEEP card, host, ip0, ip1\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.coalesce": "COALESCE",
+    "languageDocumentationPopover.documentationESQL.coalesce.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COALESCE\n  返回它的第一个不为 null 的参数。如果所有参数均为 null，则返回 `null`。\n\n  ```\n  ROW a=null, b=\"b\"\n  | EVAL COALESCE(a, b)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.concat": "CONCAT",
+    "languageDocumentationPopover.documentationESQL.concat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### CONCAT\n  串联两个或多个字符串。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name\n  | EVAL fullname = CONCAT(first_name, \" \", last_name)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.cos": "COS",
+    "languageDocumentationPopover.documentationESQL.cos.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COS\n  返回角度的余弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL cos=COS(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.cosh": "COSH",
+    "languageDocumentationPopover.documentationESQL.cosh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### COSH\n  返回角度的双曲余弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL cosh=COSH(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.date_diff": "DATE_DIFF",
+    "languageDocumentationPopover.documentationESQL.date_diff.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_DIFF\n  从 `endTimestamp` 中减去 `startTimestamp`，并以倍数 `unit` 返回差异。\n  如果 `startTimestamp` 晚于 `endTimestamp`，则返回负值。\n\n  ```\n  ROW date1 = TO_DATETIME(\"2023-12-02T11:00:00.000Z\"), date2 = TO_DATETIME(\"2023-12-02T11:00:00.001Z\")\n  | EVAL dd_ms = DATE_DIFF(\"microseconds\", date1, date2)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.date_extract": "DATE_EXTRACT",
+    "languageDocumentationPopover.documentationESQL.date_extract.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_EXTRACT\n  提取日期的某些部分，如年、月、日、小时。\n\n  ```\n  ROW date = DATE_PARSE(\"yyyy-MM-dd\", \"2022-05-06\")\n  | EVAL year = DATE_EXTRACT(\"year\", date)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.date_format": "DATE_FORMAT",
+    "languageDocumentationPopover.documentationESQL.date_format.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_FORMAT\n  以提供的格式返回日期的字符串表示形式。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, hire_date\n  | EVAL hired = DATE_FORMAT(\"YYYY-MM-dd\", hire_date)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.date_parse": "DATE_PARSE",
+    "languageDocumentationPopover.documentationESQL.date_parse.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_PARSE\n  通过使用在第一个参数中指定的格式来解析第二个参数，从而返回日期。\n\n  ```\n  ROW date_string = \"2022-05-06\"\n  | EVAL date = DATE_PARSE(\"yyyy-MM-dd\", date_string)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.date_trunc": "DATE_TRUNC",
+    "languageDocumentationPopover.documentationESQL.date_trunc.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### DATE_TRUNC\n  将日期向下舍入到最近的时间间隔。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, hire_date\n  | EVAL year_hired = DATE_TRUNC(1 year, hire_date)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.dissect": "DISSECT",
+    "languageDocumentationPopover.documentationESQL.dissect.markdown": "### DISSECT\n使用 `DISSECT`，您可以从字符串中提取结构化数据。`DISSECT` 将根据基于分隔符的模式来匹配字符串，并提取指定键作为列。\n\n请参阅[分解处理器文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/dissect-processor.html)了解分解模式的语法。\n\n```\nROW a = \"1953-01-23T12:15:00Z - some text - 127.0.0.1\"\n| DISSECT a \"%'{Y}-%{M}-%{D}T%{h}:%{m}:%{s}Z - %{msg} - %{ip}'\"\n```            ",
+    "languageDocumentationPopover.documentationESQL.drop": "DROP",
+    "languageDocumentationPopover.documentationESQL.drop.markdown": "### DROP\n使用 `DROP` 可从表中移除列：\n              \n```\nFROM employees\n| DROP height\n```\n\n您不必按名称指定每个列，而可以使用通配符丢弃名称匹配某种模式的所有列：\n\n```\nFROM employees\n| DROP height*\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.e": "E",
+    "languageDocumentationPopover.documentationESQL.e.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### E\n  返回 Euler 函数的编号。\n\n  ```\n  ROW E()\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.ends_with": "ENDS_WITH",
+    "languageDocumentationPopover.documentationESQL.ends_with.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ENDS_WITH\n  返回布尔值，指示关键字字符串是否以另一个字符串结尾。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_E = ENDS_WITH(last_name, \"d\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.enrich": "ENRICH",
+    "languageDocumentationPopover.documentationESQL.enrich.markdown": "### ENRICH\n您可以使用 `ENRICH` 将来自现有索引的数据添加到传入记录中。它类似于[采集扩充](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html)，但作用于查询时间。\n\n```\nROW language_code = \"1\"\n| ENRICH languages_policy\n```\n\n执行 `ENRICH` 需要[扩充策略](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html#enrich-policy)。扩充策略定义一个匹配字段（键字段）和一组扩充字段。\n\n`ENRICH` 将根据匹配字段值在[扩充索引](https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest-enriching-data.html#enrich-index)中查找记录。输入数据集中的匹配键可以使用 `ON <field-name>` 来定义；如果未指定，将对字段名称与在扩充策略中定义的匹配字段相同的字段执行匹配。\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a\n```\n\n您可以使用 `WITH <field1>, <field2>...` 语法指定必须将哪些属性（在那些在策略中定义为扩充字段的字段之间）添加到结果中。\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a WITH language_name\n```\n\n还可以使用 `WITH new_name=<field1>` 重命名属性\n\n```\nROW a = \"1\"\n| ENRICH languages_policy ON a WITH name = language_name\n```\n\n默认情况下（如果未定义任何 `WITH`），`ENRICH` 会将在扩充策略中定义的所有扩充字段添加到结果中。\n\n如果出现名称冲突，新创建的字段将覆盖现有字段。\n            ",
+    "languageDocumentationPopover.documentationESQL.eval": "EVAL",
+    "languageDocumentationPopover.documentationESQL.eval.markdown": "### EVAL\n`EVAL` 允许您添加新列：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL height_feet = height * 3.281, height_cm = height * 100\n```\n\n如果指定列已存在，将丢弃现有列，并将新列追加到表后面：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL height = height * 3.281\n```\n\n#### 函数\n`EVAL` 支持各种用于计算值的函数。请参阅“函数”了解更多信息。\n            ",
+    "languageDocumentationPopover.documentationESQL.floor": "FLOOR",
+    "languageDocumentationPopover.documentationESQL.floor.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### FLOOR\n  将数字向下舍入到最近的整数。\n\n  ```\n  ROW a=1.8\n  | EVAL a=FLOOR(a)\n  ```\n  注意：对于 `long`（包括无符号值）和 `integer`，这相当于“无操作”。\n  对于 `double`，这会提取最接近整数的 `double` 值，\n  类似于 Math.floor。\n  ",
+    "languageDocumentationPopover.documentationESQL.from": "FROM",
+    "languageDocumentationPopover.documentationESQL.from_base64": "FROM_BASE64",
+    "languageDocumentationPopover.documentationESQL.from_base64.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### FROM_BASE64\n  解码 base64 字符串。\n\n  ```\n  row a = \"ZWxhc3RpYw==\" \n  | eval d = from_base64(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.from.markdown": "### FROM\n`FROM` 源命令返回一个表，其中最多包含 10,000 个来自数据流、索引或别名的文档。生成的表中的每一行代表一个文档。每一列对应一个字段，并可以通过该字段的名称进行访问。\n\n```\nFROM employees\n```\n\n您可以使用[日期数学表达式](https://www.elastic.co/guide/en/elasticsearch/reference/current/api-conventions.html#api-date-math-index-names)来引用索引、别名和数据流。这可能对时间序列数据非常有用。\n\n使用逗号分隔列表或通配符可查询多个数据流、索引或别名：\n\n```\nFROM employees-00001,employees-*\n```\n\n#### 元数据\n\nES|QL 可访问以下元数据字段：\n\n* `_index`：文档所属的索引。字段类型为 `keyword`.\n* `_id`：源文档的 ID。字段类型为 `keyword`.\n* `_version`：源文档的版本。字段类型为 `long`。\n\n使用 `METADATA` 指令可启用元数据字段：\n\n```\nFROM index [METADATA _index, _id]\n```\n\n元数据字段仅在数据源为索引时可用。因此，`FROM` 是唯一支持 `METADATA` 指令的源命令。\n\n启用后，这些字段将可用于后续处理命令，就像其他索引字段一样：\n\n```\nFROM ul_logs, apps [METADATA _index, _version]\n| WHERE id IN (13, 14) AND _version == 1\n| EVAL key = CONCAT(_index, \"_\", TO_STR(id))\n| SORT id, _index\n| KEEP id, _index, _version, key\n```\n\n此外，与索引字段类似，一旦执行了聚合，后续命令将无法再访问元数据字段，除非它用作分组字段：\n\n```\nFROM employees [METADATA _index, _id]\n| STATS max = MAX(emp_no) BY _index\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.greatest": "GREATEST",
+    "languageDocumentationPopover.documentationESQL.greatest.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### GREATEST\n  返回多个列中的最大值。除了可一次对多个列运行以外，\n  此函数与 `MV_MAX` 类似。\n\n  ```\n  ROW a = 10, b = 20\n  | EVAL g = GREATEST(a, b)\n  ```\n  注意：对 `keyword` 或 `text` 字段运行时，此函数将按字母顺序返回最后一个字符串。对 `boolean` 列运行时，如果任何值为 `true`，此函数将返回 `true`。\n  ",
+    "languageDocumentationPopover.documentationESQL.grok": "GROK",
+    "languageDocumentationPopover.documentationESQL.grok.markdown": "### GROK\n使用 `GROK`，您可以从字符串中提取结构化数据。`GROK` 将基于正则表达式根据模式来匹配字符串，并提取指定模式作为列。\n\n请参阅 [grok 处理器文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/grok-processor.html)了解 grok 模式的语法。\n\n```\nROW a = \"12 15.5 15.6 true\"\n| GROK a \"%'{NUMBER:b:int}' %'{NUMBER:c:float}' %'{NUMBER:d:double}' %'{WORD:e:boolean}'\"\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.inOperator": "IN",
+    "languageDocumentationPopover.documentationESQL.inOperator.markdown": "### IN\n`IN` 运算符允许测试字段或表达式是否等于文本、字段或表达式列表中的元素：\n\n```\nROW a = 1, b = 4, c = 3\n| WHERE c-a IN (3, b / 2, a)\n```\n              ",
+    "languageDocumentationPopover.documentationESQL.ip_prefix": "IP_PREFIX",
+    "languageDocumentationPopover.documentationESQL.ip_prefix.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### IP_PREFIX\n  截短 IP 至给定的前缀长度。\n\n  ```\n  row ip4 = to_ip(\"1.2.3.4\"), ip6 = to_ip(\"fe80::cae2:65ff:fece:feb9\")\n  | eval ip4_prefix = ip_prefix(ip4, 24, 0), ip6_prefix = ip_prefix(ip6, 0, 112);\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.keep": "KEEP",
+    "languageDocumentationPopover.documentationESQL.keep.markdown": "### KEEP\n使用 `KEEP` 命令，您可以指定将返回哪些列以及返回这些列的顺序。\n\n要限制返回的列数，请使用列名的逗号分隔列表。将按指定顺序返回这些列：\n              \n```\nFROM employees\n| KEEP first_name, last_name, height\n```\n\n您不必按名称指定每个列，而可以使用通配符返回名称匹配某种模式的所有列：\n\n```\nFROM employees\n| KEEP h*\n```\n\n星号通配符 (`*`) 自身将转换为不与其他参数匹配的所有列。此查询将首先返回所有名称以 h 开头的所有列，随后返回所有其他列：\n\n```\nFROM employees\n| KEEP h*, *\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.least": "LEAST",
+    "languageDocumentationPopover.documentationESQL.least.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LEAST\n  返回多个列中的最小值。除了可一次对多个列运行以外，此函数与 `MV_MIN` 类似。\n\n  ```\n  ROW a = 10, b = 20\n  | EVAL l = LEAST(a, b)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.left": "LEFT",
+    "languageDocumentationPopover.documentationESQL.left.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LEFT\n  返回从“字符串”中提取“长度”字符的子字符串，从左侧开始。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL left = LEFT(last_name, 3)\n  | SORT last_name ASC\n  | LIMIT 5\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.length": "LENGTH",
+    "languageDocumentationPopover.documentationESQL.length.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LENGTH\n  返回字符串的字符长度。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name\n  | EVAL fn_length = LENGTH(first_name)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.limit": "LIMIT",
+    "languageDocumentationPopover.documentationESQL.limit.markdown": "### LIMIT\n`LIMIT` 处理命令允许您限制行数：\n              \n```\nFROM employees\n| LIMIT 5\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.locate": "LOCATE",
+    "languageDocumentationPopover.documentationESQL.locate.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOCATE\n  返回一个整数，指示关键字子字符串在另一字符串中的位置\n\n  ```\n  row a = \"hello\"\n  | eval a_ll = locate(a, \"ll\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.log": "LOG",
+    "languageDocumentationPopover.documentationESQL.log.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOG\n  以某底数返回值的对数。输入可以为任何数字值，返回值始终为双精度值。\n\n  求零、负数的对数，以及底数为一时将返回 `null`，并显示警告。\n\n  ```\n  ROW base = 2.0, value = 8.0\n  | EVAL s = LOG(base, value)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.log10": "LOG10",
+    "languageDocumentationPopover.documentationESQL.log10.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LOG10\n  以底数 10 返回值的对数。输入可以为任何数字值，返回值始终为双精度值。\n\n  求 0 和负数的对数时将返回 `null`，并显示警告。\n\n  ```\n  ROW d = 1000.0 \n  | EVAL s = LOG10(d)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.ltrim": "LTRIM",
+    "languageDocumentationPopover.documentationESQL.ltrim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### LTRIM\n  从字符串中移除前导空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = LTRIM(message)\n  | EVAL color = LTRIM(color)\n  | EVAL message = CONCAT(\"'\", message, \"'\")\n  | EVAL color = CONCAT(\"'\", color, \"'\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.markdown": "## ES|QL\n\nES|QL（Elasticsearch 查询语言）查询包含一系列命令，它们用管道字符分隔：`|`。每个查询以**源命令**开头，它会生成一个表，其中通常包含来自 Elasticsearch 的数据。\n\n源命令可后接一个或多个**处理命令**。处理命令可通过添加、移除以及更改行和列来更改前一个命令的输出表。\n\n```\nsource-command\n| processing-command1\n| processing-command2\n```\n\n查询的结果为由最后的处理命令生成的表。                                  \n                                      ",
+    "languageDocumentationPopover.documentationESQL.mv_append": "MV_APPEND",
+    "languageDocumentationPopover.documentationESQL.mv_append.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_APPEND\n  串联两个多值字段的值。\n\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_avg": "MV_AVG",
+    "languageDocumentationPopover.documentationESQL.mv_avg.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_AVG\n  将多值字段转换为包含所有值的平均值的单值字段。\n\n  ```\n  ROW a=[3, 5, 1, 6]\n  | EVAL avg_a = MV_AVG(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_concat": "MV_CONCAT",
+    "languageDocumentationPopover.documentationESQL.mv_concat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_CONCAT\n  将多值字符串表达式转换为单值列，其中包含由分隔符分隔的所有值的串联形式。\n\n  ```\n  ROW a=[\"foo\", \"zoo\", \"bar\"]\n  | EVAL j = MV_CONCAT(a, \", \")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_count": "MV_COUNT",
+    "languageDocumentationPopover.documentationESQL.mv_count.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_COUNT\n  将多值表达式转换为包含值计数的单值列。\n\n  ```\n  ROW a=[\"foo\", \"zoo\", \"bar\"]\n  | EVAL count_a = MV_COUNT(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_dedupe": "MV_DEDUPE",
+    "languageDocumentationPopover.documentationESQL.mv_dedupe.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_DEDUPE\n  移除多值字段中的重复值。\n\n  ```\n  ROW a=[\"foo\", \"foo\", \"bar\", \"foo\"]\n  | EVAL dedupe_a = MV_DEDUPE(a)\n  ```\n  注意：`MV_DEDUPE` 可能但不会始终对列中的值进行排序。\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_first": "MV_FIRST",
+    "languageDocumentationPopover.documentationESQL.mv_first.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_FIRST\n  将多值表达式转换为包含第一个值的\n  单值列。这在从按已知顺序发出多值列的\n  函数（如 `SPLIT`）中读取数据时尤其有用。\n\n  无法保证从底层存储\n  读取多值字段的顺序。它 *通常* 为升序，但不应\n  依赖于此。如果需要最小值，请使用 `MV_MIN` 而不是\n  `MV_FIRST`。`MV_MIN` 针对排序值进行了优化，因此\n  对 `MV_FIRST` 没有性能优势。\n\n  ```\n  ROW a=\"foo;bar;baz\"\n  | EVAL first_a = MV_FIRST(SPLIT(a, \";\"))\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_last": "MV_LAST",
+    "languageDocumentationPopover.documentationESQL.mv_last.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_LAST\n  将多值表达式转换为包含最后一个值的单值\n  列。这在从按已知顺序发出多值列的函数\n  （如 `SPLIT`）中读取数据时尤其有用。\n\n  无法保证从底层存储\n  读取多值字段的顺序。它 *通常* 为升序，但不应\n  依赖于此。如果需要最大值，请使用 `MV_MAX` 而不是\n  `MV_LAST`。`MV_MAX` 针对排序值进行了优化，因此\n  对 `MV_LAST` 没有性能优势。\n\n  ```\n  ROW a=\"foo;bar;baz\"\n  | EVAL last_a = MV_LAST(SPLIT(a, \";\"))\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_max": "MV_MAX",
+    "languageDocumentationPopover.documentationESQL.mv_max.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MAX\n  将多值表达式转换为包含最大值的单值列。\n\n  ```\n  ROW a=[3, 5, 1]\n  | EVAL max_a = MV_MAX(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_median": "MV_MEDIAN",
+    "languageDocumentationPopover.documentationESQL.mv_median.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MEDIAN\n  将多值字段转换为包含中位数值的单值字段。\n\n  ```\n  ROW a=[3, 5, 1]\n  | EVAL median_a = MV_MEDIAN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_min": "MV_MIN",
+    "languageDocumentationPopover.documentationESQL.mv_min.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_MIN\n  将多值表达式转换为包含最小值的单值列。\n\n  ```\n  ROW a=[2, 1]\n  | EVAL min_a = MV_MIN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_slice": "MV_SLICE",
+    "languageDocumentationPopover.documentationESQL.mv_slice.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SLICE\n  使用起始和结束索引值返回多值字段的子集。\n\n  ```\n  row a = [1, 2, 2, 3]\n  | eval a1 = mv_slice(a, 1), a2 = mv_slice(a, 2, 3)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_sort": "MV_SORT",
+    "languageDocumentationPopover.documentationESQL.mv_sort.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SORT\n  按字典顺序对多值字段排序。\n\n  ```\n  ROW a = [4, 2, -3, 2]\n  | EVAL sa = mv_sort(a), sd = mv_sort(a, \"DESC\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_sum": "MV_SUM",
+    "languageDocumentationPopover.documentationESQL.mv_sum.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_SUM\n  将多值字段转换为包含所有值的总和的单值字段。\n\n  ```\n  ROW a=[3, 5, 6]\n  | EVAL sum_a = MV_SUM(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mv_zip": "MV_ZIP",
+    "languageDocumentationPopover.documentationESQL.mv_zip.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### MV_ZIP\n  组合两个使用分隔符联接在一起的多值字段中的值。\n\n  ```\n  ROW a = [\"x\", \"y\", \"z\"], b = [\"1\", \"2\"]\n  | EVAL c = mv_zip(a, b, \"-\")\n  | KEEP a, b, c\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.mvExpand": "MV_EXPAND",
+    "languageDocumentationPopover.documentationESQL.mvExpand.markdown": "### MV_EXPAND\n`MV_EXPAND` 处理命令将多值字段扩展成每个值一行，从而复制其他字段：             \n```\nROW a=[1,2,3], b=\"b\", j=[\"a\",\"b\"]\n| MV_EXPAND a\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.now": "NOW",
+    "languageDocumentationPopover.documentationESQL.now.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### NOW\n  返回当前日期和时间。\n\n  ```\n  ROW current_date = NOW()\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.pi": "PI",
+    "languageDocumentationPopover.documentationESQL.pi.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### PI\n  返回 Pi，即圆的周长与其直径的比率。\n\n  ```\n  ROW PI()\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.pow": "POW",
+    "languageDocumentationPopover.documentationESQL.pow.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### POW\n  返回提升为 `exponent` 幂的 `base` 的值。\n\n  ```\n  ROW base = 2.0, exponent = 2\n  | EVAL result = POW(base, exponent)\n  ```\n  注意：此处仍可能使双精度结果溢出；在该情况下，将返回 null。\n  ",
+    "languageDocumentationPopover.documentationESQL.predicates": "Null 值",
+    "languageDocumentationPopover.documentationESQL.predicates.markdown": "### NULL 值\n对于 NULL 比较，请使用 `IS NULL` 和 `IS NOT NULL` 谓词：\n\n```\nFROM employees\n| WHERE birth_date IS NULL\n| KEEP first_name, last_name\n| SORT first_name\n| LIMIT 3\n```\n\n```\nFROM employees\n| WHERE is_rehired IS NOT NULL\n| STATS count(emp_no)\n```\n              ",
+    "languageDocumentationPopover.documentationESQL.rename": "RENAME",
+    "languageDocumentationPopover.documentationESQL.rename.markdown": "### RENAME\n请使用 `RENAME` 通过以下语法对列重命名：\n\n```\nRENAME <old-name> AS <new-name>\n```\n\n例如：\n\n```\nFROM employees\n| KEEP first_name, last_name, still_hired\n| RENAME still_hired AS employed\n```\n\n如果使用新名称的列已存在，将用新列替换该列。\n\n可以使用单个 `RENAME` 命令对多个列重命名：\n\n```\nFROM employees\n| KEEP first_name, last_name\n| RENAME first_name AS fn, last_name AS ln\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.repeat": "REPEAT",
+    "languageDocumentationPopover.documentationESQL.repeat.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### REPEAT\n  返回通过串联 `string` 自身与指定次数 `number` 构造而成的字符串。\n\n  ```\n  ROW a = \"Hello!\"\n  | EVAL triple_a = REPEAT(a, 3);\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.replace": "REPLACE",
+    "languageDocumentationPopover.documentationESQL.replace.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### REPLACE\n  此函数将字符串 `str` 中正则表达式 `regex` 的任何匹配项\n  替换为替代字符串 `newStr`。\n\n  ```\n  ROW str = \"Hello World\"\n  | EVAL str = REPLACE(str, \"World\", \"Universe\")\n  | KEEP str\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.right": "RIGHT",
+    "languageDocumentationPopover.documentationESQL.right.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### RIGHT\n  返回从“字符串”中提取“长度”字符的子字符串，从右侧开始。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL right = RIGHT(last_name, 3)\n  | SORT last_name ASC\n  | LIMIT 5\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.round": "ROUND",
+    "languageDocumentationPopover.documentationESQL.round.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ROUND\n  将数字舍入到指定小数位数。\n  默认值为 0，即返回最近的整数。如果\n  精确度为负数，则将数字舍入到\n  小数点左侧的位数。\n\n  ```\n  FROM employees\n  | KEEP first_name, last_name, height\n  | EVAL height_ft = ROUND(height * 3.281, 1)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.row": "ROW",
+    "languageDocumentationPopover.documentationESQL.row.markdown": "### ROW\n`ROW` 源命令会生成一个行，其中包含一个或多个含有您指定的值的列。这可以用于测试。\n              \n```\nROW a = 1, b = \"two\", c = null\n```\n\n请使用方括号创建多值列：\n\n```\nROW a = [2, 1]\n```\n\nROW 支持使用函数：\n\n```\nROW a = ROUND(1.23, 0)\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.rtrim": "RTRIM",
+    "languageDocumentationPopover.documentationESQL.rtrim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### RTRIM\n  从字符串中移除尾随空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = RTRIM(message)\n  | EVAL color = RTRIM(color)\n  | EVAL message = CONCAT(\"'\", message, \"'\")\n  | EVAL color = CONCAT(\"'\", color, \"'\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.show": "SHOW",
+    "languageDocumentationPopover.documentationESQL.show.markdown": "### SHOW\n`SHOW <item>` 源命令返回有关部署及其功能的信息：\n\n* 使用 `SHOW INFO` 可返回部署的版本、构建日期和哈希。\n* 使用 `SHOW FUNCTIONS` 可返回所有受支持函数的列表和每个函数的概要。\n            ",
+    "languageDocumentationPopover.documentationESQL.signum": "SIGNUM",
+    "languageDocumentationPopover.documentationESQL.signum.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SIGNUM\n  返回给定数字的符号。\n  它对负数返回 `-1`，对 `0` 返回 `0`，对正数返回 `1`。\n\n  ```\n  ROW d = 100.0\n  | EVAL s = SIGNUM(d)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.sin": "SIN",
+    "languageDocumentationPopover.documentationESQL.sin.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SIN\n  返回角度的正弦三角函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL sin=SIN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.sinh": "SINH",
+    "languageDocumentationPopover.documentationESQL.sinh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SINH\n  返回角度的双曲正弦。\n\n  ```\n  ROW a=1.8 \n  | EVAL sinh=SINH(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.sort": "SORT",
+    "languageDocumentationPopover.documentationESQL.sort.markdown": "### SORT\n使用 `SORT` 命令可对一个或多个字段上的行排序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height\n```\n\n默认排序顺序为升序。请使用 `ASC` 或 `DESC` 设置显式排序顺序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height DESC\n```\n\n如果两个行具有相同的排序键，则保留原始顺序。您可以提供其他排序表达式充当连接断路器：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT height DESC, first_name ASC\n```\n\n#### `null` 值\n默认情况下，会将 `null` 值视为大于任何其他值。使用升序排序顺序时，会最后对 `null` 值排序，而使用降序排序顺序时，会首先对 `null` 值排序。您可以通过提供 `NULLS FIRST` 或 `NULLS LAST` 来更改该排序：\n\n```\nFROM employees\n| KEEP first_name, last_name, height\n| SORT first_name ASC NULLS FIRST\n```\n            ",
+    "languageDocumentationPopover.documentationESQL.split": "SPLIT",
+    "languageDocumentationPopover.documentationESQL.split.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SPLIT\n  将单值字符串拆分成多个字符串。\n\n  ```\n  ROW words=\"foo;bar;baz;qux;quux;corge\"\n  | EVAL word = SPLIT(words, \";\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.sqrt": "SQRT",
+    "languageDocumentationPopover.documentationESQL.sqrt.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SQRT\n  返回数字的平方根。输入可以为任何数字值，返回值始终为双精度值。\n  负数和无穷大的平方根为 null。\n\n  ```\n  ROW d = 100.0\n  | EVAL s = SQRT(d)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_contains": "ST_CONTAINS",
+    "languageDocumentationPopover.documentationESQL.st_contains.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_CONTAINS\n  返回第一个几何形状是否包含第二个几何形状。\n  这是 `ST_WITHIN` 函数的反向函数。\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_CONTAINS(city_boundary, TO_GEOSHAPE(\"POLYGON((109.35 18.3, 109.45 18.3, 109.45 18.4, 109.35 18.4, 109.35 18.3))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_disjoint": "ST_DISJOINT",
+    "languageDocumentationPopover.documentationESQL.st_disjoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_DISJOINT\n  返回两个几何图形或几何图形列是否不相交。\n  这是 `ST_INTERSECTS` 函数的反向函数。\n  从数学上讲：ST_Disjoint(A, B) ⇔ A ⋂ B = ∅\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_DISJOINT(city_boundary, TO_GEOSHAPE(\"POLYGON((-10 -60, 120 -60, 120 60, -10 60, -10 -60))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_distance": "ST_DISTANCE",
+    "languageDocumentationPopover.documentationESQL.st_distance.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_DISTANCE\n  计算两点之间的距离。\n  对于笛卡尔几何形状，这是以相同单位作为原始坐标时的毕达哥拉斯距离。\n  对于地理几何形状而言，这是沿着地球大圆的圆周距离（以米为单位）。\n\n  ```\n  FROM airports\n  | WHERE abbrev == \"CPH\"\n  | EVAL distance = ST_DISTANCE(location, city_location)\n  | KEEP abbrev, name, location, city_location, distance\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_intersects": "ST_INTERSECTS",
+    "languageDocumentationPopover.documentationESQL.st_intersects.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_INTERSECTS\n  如果两个几何形状相交，则返回 true。\n  如果它们有任何共同点，包括其内点\n  （沿线的点或多边形内的点），则表示它们相交。\n  这是 `ST_DISJOINT` 函数的反向函数。\n  从数学上讲：ST_Intersects(A, B) ⇔ A ⋂ B ≠ ∅\n\n  ```\n  FROM airports\n  | WHERE ST_INTERSECTS(location, TO_GEOSHAPE(\"POLYGON((42 14, 43 14, 43 15, 42 15, 42 14))\"))\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_within": "ST_WITHIN",
+    "languageDocumentationPopover.documentationESQL.st_within.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_WITHIN\n  返回第一个几何形状是否在第二个几何形状内。\n  这是 `ST_CONTAINS` 函数的反向函数。\n\n  ```\n  FROM airport_city_boundaries\n  | WHERE ST_WITHIN(city_boundary, TO_GEOSHAPE(\"POLYGON((109.1 18.15, 109.6 18.15, 109.6 18.65, 109.1 18.65, 109.1 18.15))\"))\n  | KEEP abbrev, airport, region, city, city_location\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_x": "ST_X",
+    "languageDocumentationPopover.documentationESQL.st_x.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_X\n  从提供的点中提取 `x` 坐标。\n  如果点的类型为 `geo_point`，则这等同于提取 `longitude` 值。\n\n  ```\n  ROW point = TO_GEOPOINT(\"POINT(42.97109629958868 14.7552534006536)\")\n  | EVAL x =  ST_X(point), y = ST_Y(point)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.st_y": "ST_Y",
+    "languageDocumentationPopover.documentationESQL.st_y.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### ST_Y\n  从提供的点中提取 `y` 坐标。\n  如果点的类型为 `geo_point`，则这等同于提取 `latitude` 值。\n\n  ```\n  ROW point = TO_GEOPOINT(\"POINT(42.97109629958868 14.7552534006536)\")\n  | EVAL x =  ST_X(point), y = ST_Y(point)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.starts_with": "STARTS_WITH",
+    "languageDocumentationPopover.documentationESQL.starts_with.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### STARTS_WITH\n  返回指示关键字字符串是否以另一个字符串开头的布尔值。\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_S = STARTS_WITH(last_name, \"B\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.statsby": "STATS ...BY",
+    "languageDocumentationPopover.documentationESQL.statsby.markdown": "### STATS ...BY\n使用 `STATS ...BY` 可根据公共值对行分组，并计算已分组行中的一个或多个聚合值。\n\n**示例**：\n\n```\nFROM employees\n| STATS count = COUNT(emp_no) BY languages\n| SORT languages\n```\n\n如果省略 `BY`，输出表实际将包含一行，其中为应用于整个数据集的聚合：\n\n```\nFROM employees\n| STATS avg_lang = AVG(languages)\n```\n\n可以计算多个值：\n\n```\nFROM employees\n| STATS avg_lang = AVG(languages), max_lang = MAX(languages)\n```\n\n也可以按多个值分组（仅长整型和关键字家族字段支持）：\n\n```\nFROM employees\n| EVAL hired = DATE_FORMAT(hire_date, \"YYYY\")\n| STATS avg_salary = AVG(salary) BY hired, languages.long\n| EVAL avg_salary = ROUND(avg_salary)\n| SORT hired, languages.long\n```\n\n请参阅**聚合函数**获取可与 `STATS ...BY` 搭配使用的函数列表。\n\n聚合函数和分组表达式均接受其他函数。这在对多值列使用 `STATS...BY` 时有用。例如，要计算平均工资变动，可以首先使用 `MV_AVG` 对每名员工的多个值求平均值，然后将结果用于 `AVG` 函数：\n\n```\nFROM employees\n| STATS avg_salary_change = AVG(MV_AVG(salary_change))\n```\n\n按表达式分组的示例为根据员工姓氏的第一个字母对其进行分组：\n\n```\nFROM employees\n| STATS my_count = COUNT() BY LEFT(last_name, 1)\n| SORT `LEFT(last_name, 1)`\n```\n\n指定输出列名称为可选操作。如果未指定，新列名称等于该表达式。以下查询将返回名为 `AVG(salary)` 的列：\n\n```\nFROM employees\n| STATS AVG(salary)\n```\n\n由于此名称包含特殊字符，在后续命令中使用该名称时，需要用反撇号 (`) 引用它：\n\n```\nFROM employees\n| STATS AVG(salary)\n| EVAL avg_salary_rounded = ROUND(`AVG(salary)`)\n```\n\n**注意**：不包含任何组的 `STATS` 比添加组更快。\n\n**注意**：当前，根据单一表达式进行分组比根据许多表达式进行分组更为优化。\n            ",
+    "languageDocumentationPopover.documentationESQL.stringOperators": "LIKE 和 RLIKE",
+    "languageDocumentationPopover.documentationESQL.stringOperators.markdown": "### LIKE 和 RLIKE\n使用通配符或正则表达式比较字符串时，请使用 `LIKE` 或 `RLIKE`：\n\n使用 `LIKE` 时，可使用通配符来匹配字符串。支持以下通配符字符：\n\n* `*` 匹配零个或更多字符。\n* `?` 匹配一个字符。\n\n```\nFROM employees\n| WHERE first_name LIKE \"?b*\"\n| KEEP first_name, last_name\n```\n\n使用 `RLIKE` 时，可使用正则表达式来匹配字符串：\n\n```\nFROM employees\n| WHERE first_name RLIKE \".leja.*\"\n| KEEP first_name, last_name\n```\n              ",
+    "languageDocumentationPopover.documentationESQL.substring": "SUBSTRING",
+    "languageDocumentationPopover.documentationESQL.substring.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### SUBSTRING\n  返回字符串的子字符串，用起始位置和可选长度指定\n\n  ```\n  FROM employees\n  | KEEP last_name\n  | EVAL ln_sub = SUBSTRING(last_name, 1, 3)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.tan": "TAN",
+    "languageDocumentationPopover.documentationESQL.tan.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TAN\n  返回角度的正切三角函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL tan=TAN(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.tanh": "TANH",
+    "languageDocumentationPopover.documentationESQL.tanh.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TANH\n  返回角度的双曲正切函数。\n\n  ```\n  ROW a=1.8 \n  | EVAL tanh=TANH(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.tau": "TAU",
+    "languageDocumentationPopover.documentationESQL.tau.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TAU\n  返回圆的圆周长与其半径的比率。\n\n  ```\n  ROW TAU()\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_base64": "TO_BASE64",
+    "languageDocumentationPopover.documentationESQL.to_base64.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_BASE64\n  将字符串编码为 base64 字符串。\n\n  ```\n  row a = \"elastic\" \n  | eval e = to_base64(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_boolean": "TO_BOOLEAN",
+    "languageDocumentationPopover.documentationESQL.to_boolean.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_BOOLEAN\n  将输入值转换为布尔值。\n  字符串值 *true* 将不区分大小写并被转换为布尔值 *true*。\n  对于任何其他值，包括空字符串，此函数将返回 *false*。\n  数字值 *0* 将转换为 *false*，任何其他值将转换为 *true*。\n\n  ```\n  ROW str = [\"true\", \"TRuE\", \"false\", \"\", \"yes\", \"1\"]\n  | EVAL bool = TO_BOOLEAN(str)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_cartesianpoint": "TO_CARTESIANPOINT",
+    "languageDocumentationPopover.documentationESQL.to_cartesianpoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_CARTESIANPOINT\n  将输入值转换为 `cartesian_point` 值。\n  字符串只有符合 WKT 点格式时，才能成功转换。\n\n  ```\n  ROW wkt = [\"POINT(4297.11 -1475.53)\", \"POINT(7580.93 2272.77)\"]\n  | MV_EXPAND wkt\n  | EVAL pt = TO_CARTESIANPOINT(wkt)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_cartesianshape": "TO_CARTESIANSHAPE",
+    "languageDocumentationPopover.documentationESQL.to_cartesianshape.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_CARTESIANSHAPE\n  将输入值转换为 `cartesian_shape` 值。\n  字符串只有符合 WKT 格式时，才能成功转换。\n\n  ```\n  ROW wkt = [\"POINT(4297.11 -1475.53)\", \"POLYGON ((3339584.72 1118889.97, 4452779.63 4865942.27, 2226389.81 4865942.27, 1113194.90 2273030.92, 3339584.72 1118889.97))\"]\n  | MV_EXPAND wkt\n  | EVAL geom = TO_CARTESIANSHAPE(wkt)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_datetime": "TO_DATETIME",
+    "languageDocumentationPopover.documentationESQL.to_datetime.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DATETIME\n  将输入值转换为日期值。\n  仅当字符串采用 `yyyy-MM-dd'T'HH:mm:ss.SSS'Z'` 格式时，才可进行成功转换。\n  要转换其他格式的日期，请使用 `DATE_PARSE`。\n\n  ```\n  ROW string = [\"1953-09-02T00:00:00.000Z\", \"1964-06-02T00:00:00.000Z\", \"1964-06-02 00:00:00\"]\n  | EVAL datetime = TO_DATETIME(string)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_degrees": "TO_DEGREES",
+    "languageDocumentationPopover.documentationESQL.to_degrees.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DEGREES\n  将弧度转换为度数。\n\n  ```\n  ROW rad = [1.57, 3.14, 4.71]\n  | EVAL deg = TO_DEGREES(rad)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_double": "TO_DOUBLE",
+    "languageDocumentationPopover.documentationESQL.to_double.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_DOUBLE\n  将输入值转换为双精度值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，\n  并转换为双精度值。布尔值 *true* 将转换为双精度值 *1.0*，*false* 转换为 *0.0*。\n\n  ```\n  ROW str1 = \"5.20128E11\", str2 = \"foo\"\n  | EVAL dbl = TO_DOUBLE(\"520128000000\"), dbl1 = TO_DOUBLE(str1), dbl2 = TO_DOUBLE(str2)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_geopoint": "TO_GEOPOINT",
+    "languageDocumentationPopover.documentationESQL.to_geopoint.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_GEOPOINT\n  将输入值转换为 `geo_point` 值。\n  字符串只有符合 WKT 点格式时，才能成功转换。\n\n  ```\n  ROW wkt = \"POINT(42.97109630194 14.7552534413725)\"\n  | EVAL pt = TO_GEOPOINT(wkt)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_geoshape": "TO_GEOSHAPE",
+    "languageDocumentationPopover.documentationESQL.to_geoshape.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_GEOSHAPE\n  将输入值转换为 `geo_shape` 值。\n  字符串只有符合 WKT 格式时，才能成功转换。\n\n  ```\n  ROW wkt = \"POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10))\"\n  | EVAL geom = TO_GEOSHAPE(wkt)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_integer": "TO_INTEGER",
+    "languageDocumentationPopover.documentationESQL.to_integer.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_INTEGER\n  将输入值转换为整数值。\n  如果输入参数为日期类型，会将其值解析为自 Unix epoch 以来\n  的毫秒数，并转换为整数。\n  布尔值 *true* 将转换为整数 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW long = [5013792, 2147483647, 501379200000]\n  | EVAL int = TO_INTEGER(long)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_ip": "TO_IP",
+    "languageDocumentationPopover.documentationESQL.to_ip.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_IP\n  将输入字符串转换为 IP 值。\n\n  ```\n  ROW str1 = \"1.1.1.1\", str2 = \"foo\"\n  | EVAL ip1 = TO_IP(str1), ip2 = TO_IP(str2)\n  | WHERE CIDR_MATCH(ip1, \"1.0.0.0/8\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_long": "TO_LONG",
+    "languageDocumentationPopover.documentationESQL.to_long.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_LONG\n  将输入值转换为长整型值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，并转换为长整型值。\n  布尔值 *true* 将转换为长整型值 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW str1 = \"2147483648\", str2 = \"2147483648.2\", str3 = \"foo\"\n  | EVAL long1 = TO_LONG(str1), long2 = TO_LONG(str2), long3 = TO_LONG(str3)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_lower": "TO_LOWER",
+    "languageDocumentationPopover.documentationESQL.to_lower.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_LOWER\n  返回一个新字符串，表示已将输入字符串转为小写。\n\n  ```\n  ROW message = \"Some Text\"\n  | EVAL message_lower = TO_LOWER(message)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_radians": "TO_RADIANS",
+    "languageDocumentationPopover.documentationESQL.to_radians.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_RADIANS\n  将度数转换为弧度。\n\n  ```\n  ROW deg = [90.0, 180.0, 270.0]\n  | EVAL rad = TO_RADIANS(deg)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_string": "TO_STRING",
+    "languageDocumentationPopover.documentationESQL.to_string.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_STRING\n  将输入值转换为字符串。\n\n  ```\n  ROW a=10\n  | EVAL j = TO_STRING(a)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_unsigned_long": "TO_UNSIGNED_LONG",
+    "languageDocumentationPopover.documentationESQL.to_unsigned_long.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_UNSIGNED_LONG\n  将输入值转换为无符号长整型值。如果输入参数为日期类型，\n  会将其值解析为自 Unix epoch 以来的毫秒数，并转换为无符号长整型值。\n  布尔值 *true* 将转换为无符号长整型值 *1*，*false* 转换为 *0*。\n\n  ```\n  ROW str1 = \"2147483648\", str2 = \"2147483648.2\", str3 = \"foo\"\n  | EVAL long1 = TO_UNSIGNED_LONG(str1), long2 = TO_ULONG(str2), long3 = TO_UL(str3)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_upper": "TO_UPPER",
+    "languageDocumentationPopover.documentationESQL.to_upper.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_UPPER\n  返回一个新字符串，表示已将输入字符串转为大写。\n\n  ```\n  ROW message = \"Some Text\"\n  | EVAL message_upper = TO_UPPER(message)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.to_version": "TO_VERSION",
+    "languageDocumentationPopover.documentationESQL.to_version.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TO_VERSION\n  将输入字符串转换为版本值。\n\n  ```\n  ROW v = TO_VERSION(\"1.2.3\")\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.trim": "TRIM",
+    "languageDocumentationPopover.documentationESQL.trim.markdown": "<!--\n  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.\n  -->\n\n  ### TRIM\n  从字符串中移除前导和尾随空格。\n\n  ```\n  ROW message = \"   some text  \",  color = \" red \"\n  | EVAL message = TRIM(message)\n  | EVAL color = TRIM(color)\n  ```\n  ",
+    "languageDocumentationPopover.documentationESQL.where": "WHERE",
+    "languageDocumentationPopover.documentationESQL.where.markdown": "### WHERE\n使用 `WHERE` 可生成一个表，其中包含输入表中所提供的条件评估为 `true` 的所有行：\n              \n```\nFROM employees\n| KEEP first_name, last_name, still_hired\n| WHERE still_hired == true\n```\n\n#### 运算符\n\n请参阅**运算符**了解所支持的运算符的概览。\n\n#### 函数\n`WHERE` 支持各种用于计算值的函数。请参阅**函数**了解更多信息。\n            ",
    "textBasedEditor.query.textBasedLanguagesEditor.EnableWordWrapLabel": "在管道符上添加换行符",
    "textBasedEditor.query.textBasedLanguagesEditor.errorCount": "{count} 个{count, plural, other {错误}}",
    "textBasedEditor.query.textBasedLanguagesEditor.errorsTitle": "错误",
-    "textBasedEditor.query.textBasedLanguagesEditor.esql": "ES|QL",
    "textBasedEditor.query.textBasedLanguagesEditor.expandLabel": "展开",
    "textBasedEditor.query.textBasedLanguagesEditor.feedback": "反馈",
-    "textBasedEditor.query.textBasedLanguagesEditor.functions": "函数",
-    "textBasedEditor.query.textBasedLanguagesEditor.functionsDocumentationESQLDescription": "ROW、EVAL 和 WHERE 支持的函数。",
-    "textBasedEditor.query.textBasedLanguagesEditor.groupingFunctions": "分组函数",
-    "textBasedEditor.query.textBasedLanguagesEditor.groupingFunctionsDocumentationESQLDescription": "这些分组函数可以与 `STATS...BY` 搭配使用：",
+    "languageDocumentationPopover.documentationESQL.functions": "函数",
+    "languageDocumentationPopover.documentationESQL.functionsDocumentationESQLDescription": "ROW、EVAL 和 WHERE 支持的函数。",
+    "languageDocumentationPopover.documentationESQL.groupingFunctions": "分组函数",
+    "languageDocumentationPopover.documentationESQL.groupingFunctionsDocumentationESQLDescription": "这些分组函数可以与 `STATS...BY` 搭配使用：",
    "textBasedEditor.query.textBasedLanguagesEditor.hideQueriesLabel": "隐藏最近查询",
    "textBasedEditor.query.textBasedLanguagesEditor.lineCount": "{count} {count, plural, other {行}}",
    "textBasedEditor.query.textBasedLanguagesEditor.lineNumber": "第 {lineNumber} 行",
-    "textBasedEditor.query.textBasedLanguagesEditor.operators": "运算符",
-    "textBasedEditor.query.textBasedLanguagesEditor.operatorsDocumentationESQLDescription": "ES|QL 支持以下运算符：",
-    "textBasedEditor.query.textBasedLanguagesEditor.processingCommands": "处理命令",
-    "textBasedEditor.query.textBasedLanguagesEditor.processingCommandsDescription": "处理命令会通过添加、移除或更改行和列来更改输入表。ES|QL 支持以下处理命令。",
+    "languageDocumentationPopover.documentationESQL.operators": "运算符",
+    "languageDocumentationPopover.documentationESQL.operatorsDocumentationESQLDescription": "ES|QL 支持以下运算符：",
+    "languageDocumentationPopover.documentationESQL.processingCommands": "处理命令",
+    "languageDocumentationPopover.documentationESQL.processingCommandsDescription": "处理命令会通过添加、移除或更改行和列来更改输入表。ES|QL 支持以下处理命令。",
    "textBasedEditor.query.textBasedLanguagesEditor.querieshistory.error": "查询失败",
    "textBasedEditor.query.textBasedLanguagesEditor.querieshistory.success": "已成功运行查询",
    "textBasedEditor.query.textBasedLanguagesEditor.querieshistoryCopy": "复制查询到剪贴板",
@ -7347,7 +7345,7 @@
    "textBasedEditor.query.textBasedLanguagesEditor.recentQueriesColumnLabel": "最近查询",
    "textBasedEditor.query.textBasedLanguagesEditor.runQuery": "运行查询",
    "textBasedEditor.query.textBasedLanguagesEditor.showQueriesLabel": "显示最近查询",
-    "textBasedEditor.query.textBasedLanguagesEditor.sourceCommands": "源命令",
+    "languageDocumentationPopover.documentationESQL.sourceCommands": "源命令",
    "textBasedEditor.query.textBasedLanguagesEditor.submitFeedback": "提交反馈",
    "textBasedEditor.query.textBasedLanguagesEditor.timeRanColumnLabel": "运行时间",
    "textBasedEditor.query.textBasedLanguagesEditor.timestampNotDetected": "未找到 @timestamp",