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Remove x-pack references from SQL docs (#107584)

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shainaraskas 2024-04-18 14:32:44 -04:00 • committed by GitHub
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docs/reference/sql/getting-started.asciidoc
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@ -40,7 +40,7 @@ Frank Herbert |Dune |604 |1965-06-01T00:00:00.000Z
// TESTRESPONSE[non_json] // TESTRESPONSE[non_json]
You can also use the <<sql-cli>>. There is a script to start it You can also use the <<sql-cli>>. There is a script to start it
shipped in x-pack's bin directory: shipped in the Elasticsearch `bin` directory:
[source,bash] [source,bash]
-------------------------------------------------- --------------------------------------------------

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docs/reference/sql/index.asciidoc
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@ -1,4 +1,3 @@
[role="xpack"]
[[xpack-sql]] [[xpack-sql]]
= SQL = SQL
@ -11,8 +10,7 @@
[partintro] [partintro]
-- --
X-Pack includes a SQL feature to execute SQL queries against {es} {es} includes a SQL feature to execute SQL queries against indices and return results in tabular format.
indices and return results in tabular format.
The following chapters aim to cover everything from usage, to syntax and drivers. The following chapters aim to cover everything from usage, to syntax and drivers.
Experienced users or those in a hurry might want to jump directly to Experienced users or those in a hurry might want to jump directly to

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docs/reference/sql/overview.asciidoc
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@ -1,4 +1,3 @@
[role="xpack"]
[[sql-overview]] [[sql-overview]]
== Overview == Overview
@ -8,7 +7,7 @@
[discrete] [discrete]
=== Introduction === Introduction
{es-sql} is an X-Pack component that allows SQL-like queries to be executed in real-time against {es}. {es-sql} is a feature that allows SQL-like queries to be executed in real-time against {es}.
Whether using the REST interface, command-line or JDBC, any client can use SQL to search and aggregate data Whether using the REST interface, command-line or JDBC, any client can use SQL to search and aggregate data
_natively_ inside {es}. _natively_ inside {es}.
One can think of {es-sql} as a _translator_, one that understands both SQL and {es} and makes it easy to read and process data in real-time, at scale by leveraging {es} capabilities. One can think of {es-sql} as a _translator_, one that understands both SQL and {es} and makes it easy to read and process data in real-time, at scale by leveraging {es} capabilities.