[DOCS] Updates docs for Grok Debugger (#36289)

This commit is contained in:
gchaps 2019-05-09 12:22:28 -07:00 committed by Sarah Hersh
parent 279c7cea3e
commit 883ff0c26b
8 changed files with 107 additions and 137 deletions

View file

@ -1,124 +0,0 @@
[role="xpack"]
[[grokdebugger-getting-started]]
ifndef::gs-mini[]
=== Getting Started with the Grok Debugger
endif::gs-mini[]
ifdef::gs-mini[]
== Getting Started with the Grok Debugger
endif::gs-mini[]
++++
<titleabbrev>Getting Started</titleabbrev>
++++
TIP: See the documentation about the ingest node
{ref}/grok-processor.html[grok processor] and the Logstash {logstash-ref}/plugins-filters-grok.html[grok filter] more info about grok.
NOTE: If you're using {security}, you must have the `manage_pipeline`
permission in order to use the Grok Debugger.
The Grok Debugger is automatically enabled in {kib}. It is located under the *DevTools* tab in {kib}.
To start debugging grok patterns:
. Open Kibana in your web browser and log in. If you are running Kibana
locally, go to `http://localhost:5601/`.
. Click **DevTools** in the side navigation and then click **Grok Debugger**
on the top navigation bar.
+
image::dev-tools/grokdebugger/images/grok-debugger.png["Grok Debugger UI"]
. Under Sample Data, enter a sample message that is representative of the data you
want to parse. For example:
+
[source,ruby]
-------------------------------------------------------------------------------
55.3.244.1 GET /index.html 15824 0.043
-------------------------------------------------------------------------------
. Under Grok Pattern, enter the grok pattern that you want to apply to the data.
+
For example, to parse the log line in the example, you use:
+
[source,ruby]
-------------------------------------------------------------------------------
%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}
-------------------------------------------------------------------------------
. Click the **Simulate** button.
+
Under Structured Data, you'll see the simulated event that results from applying the grok
pattern:
+
image::dev-tools/grokdebugger/images/grok-debugger-output.png["Viewing Grok Debugger Output"]
+
Any errors in the pattern will appear at the top of the page. For example,
here you see a parse exception because the pattern name is misspelled as `WORDD`
and therefore can't be found in the pattern dictionary:
+
image::dev-tools/grokdebugger/images/grok-debugger-error.png["Viewing Grok Debugger Errors"]
+
You can click the **More** link to see more detail about the message.
+
Click **OK** to dismiss the message and continue iterating over the grok pattern
until there are no errors and the output matches the event that you expect.
//TODO: Update LS and ingest node docs with pointers to the new grok debugger. Replace references to the Heroku app.
[float]
[[grokdebugger-custom-patterns]]
==== Testing Custom Patterns
If the default grok pattern dictionary doesn't contain the patterns you need,
you may need to define custom patterns. You can use the Grok Debugger to test
and debug customer patterns.
The custom patterns that you enter in the Grok Debugger are not saved. They're
only available for the current debugging session and have no side effects.
To test a custom pattern:
. Repeat the steps that you followed previously to enter the sample message and
grok pattern. For this example, let's use the following sample message:
+
[source,ruby]
-------------------------------------------------------------------------------
Jan 1 06:25:43 mailserver14 postfix/cleanup[21403]: BEF25A72965: message-id=<20130101142543.5828399CCAF@mailserver14.example.com>
-------------------------------------------------------------------------------
+
And this grok pattern:
+
[source,ruby]
-------------------------------------------------------------------------------
%{SYSLOGBASE} %{POSTFIX_QUEUEID:queue_id}: %{MSG:syslog_message}
-------------------------------------------------------------------------------
+
Notice that the grok pattern references custom patterns called `POSTFIX_QUEUEID`
and `MSG`.
. Expand **Custom Patterns** and enter pattern definitions for any custom
patterns that you want to use in the grok expression. Each pattern definition
must be specified on its own line.
+
For the grok pattern in the example, you need to specify pattern definitions
for `POSTFIX_QUEUEID` and `MSG`:
+
[source,ruby]
-------------------------------------------------------------------------------
POSTFIX_QUEUEID [0-9A-F]{10,11}
MSG message-id=<%{GREEDYDATA}>
-------------------------------------------------------------------------------
. Click the **Simulate** button.
+
Under Output, you'll see the simulated output event that results from applying
the grok pattern that contains the custom pattern:
+
image::dev-tools/grokdebugger/images/grok-debugger-custom-pattern.png["Debugging a custom pattern"]
+
If an error occurs, you can view the error message and continue iterating over
the custom pattern until there are no errors and the output matches the event
that you expect.

Binary file not shown.

Before

Width:  |  Height:  |  Size: 348 KiB

After

Width:  |  Height:  |  Size: 195 KiB

Before After
Before After

Binary file not shown.

Before

Width:  |  Height:  |  Size: 211 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 280 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 138 KiB

After

Width:  |  Height:  |  Size: 109 KiB

Before After
Before After

Binary file not shown.

Before

Width:  |  Height:  |  Size: 68 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 208 KiB

View file

@ -1,25 +1,119 @@
[role="xpack"]
[[xpack-grokdebugger]]
== Debugging Grok Expressions
== Debugging grok expressions
Grok is a pattern matching syntax that you can use to parse arbitrary text and
structure it. Grok is perfect for parsing syslog logs, apache and other
webserver logs, mysql logs, and in general, any log format that is generally
written for humans and not computer consumption.
You can build and debug grok patterns in the {kib} *Grok Debugger*
before you use them in your data processing pipelines. Grok is a pattern
matching syntax that you can use to parse arbitrary text and
structure it. Grok is good for parsing syslog, apache, and other
webserver logs, mysql logs, and in general, any log format that is
written for human consumption.
Grok patterns are supported in the ingest node
{ref}/grok-processor.html[grok processor] and the Logstash
{logstash-ref}/plugins-filters-grok.html[grok filter]. The Elastic Stack ships
with over 120 reusable grok patterns. See
https://github.com/elastic/elasticsearch/tree/master/modules/ingest-common/src/main/resources/patterns[Ingest node grok patterns] and https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns[Logstash grok patterns]
for the full list of patterns.
{logstash-ref}/plugins-filters-grok.html[grok filter]. See
{logstash-ref}/plugins-filters-grok.html#_grok_basics[grok basics]
for more information on the syntax for a grok pattern.
You can build and debug grok patterns in the Grok Debugger tool in {kib}
before you use them in your data processing pipelines. Because
The Elastic Stack ships
with more than 120 reusable grok patterns. See
https://github.com/elastic/elasticsearch/tree/master/libs/grok/src/main/resources/patterns[Ingest node grok patterns] and https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns[Logstash grok patterns]
for the complete list of patterns.
Because
ingest node and Logstash share the same grok implementation and pattern
libraries, any grok pattern that you create in the Grok Debugger will work
libraries, any grok pattern that you create in the *Grok Debugger* will work
in ingest node and Logstash.
[float]
[[grokdebugger-getting-started]]
=== Getting started with the Grok Debugger
This example walks you through using the *Grok Debugger*. This tool
is automatically enabled in {kib}.
NOTE: If you're using {security}, you must have the `manage_pipeline`
permission to use the Grok Debugger.
. In the side navigation, click *DevTools*, then open the *Grok Debugger*.
. In *Sample Data*, enter a message that is representative of the data that you
want to parse. For example:
+
[source,ruby]
-------------------------------------------------------------------------------
55.3.244.1 GET /index.html 15824 0.043
-------------------------------------------------------------------------------
. In *Grok Pattern*, enter the grok pattern that you want to apply to the data.
+
To parse the log line in this example, use:
+
[source,ruby]
-------------------------------------------------------------------------------
%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}
-------------------------------------------------------------------------------
. Click **Simulate**.
+
You'll see the simulated event that results from applying the grok
pattern.
+
[role="screenshot"]
image::dev-tools/grokdebugger/images/grok-debugger-overview.png["Grok Debugger"]
include::getting-started.asciidoc[]
//TODO: Update LS and ingest node docs with pointers to the new grok debugger. Replace references to the Heroku app.
[float]
[[grokdebugger-custom-patterns]]
=== Testing custom patterns
If the default grok pattern dictionary doesn't contain the patterns you need,
you can define, test, and debug custom patterns using the Grok Debugger.
Custom patterns that you enter in the Grok Debugger are not saved. Custom patterns
are only available for the current debugging session and have no side effects.
Follow this example to define a custom pattern.
. In *Sample Data*, enter the following sample message:
+
[source,ruby]
-------------------------------------------------------------------------------
Jan 1 06:25:43 mailserver14 postfix/cleanup[21403]: BEF25A72965: message-id=<20130101142543.5828399CCAF@mailserver14.example.com>
-------------------------------------------------------------------------------
. Enter this grok pattern:
+
[source,ruby]
-------------------------------------------------------------------------------
%{SYSLOGBASE} %{POSTFIX_QUEUEID:queue_id}: %{MSG:syslog_message}
-------------------------------------------------------------------------------
+
Notice that the grok pattern references custom patterns called `POSTFIX_QUEUEID`
and `MSG`.
. Expand **Custom Patterns** and enter pattern definitions for the custom
patterns that you want to use in the grok expression. You must specify each pattern definition
on its own line.
+
For this example, you must specify pattern definitions
for `POSTFIX_QUEUEID` and `MSG`:
+
[source,ruby]
-------------------------------------------------------------------------------
POSTFIX_QUEUEID [0-9A-F]{10,11}
MSG message-id=<%{GREEDYDATA}>
-------------------------------------------------------------------------------
. Click **Simulate**.
+
You'll see the simulated output event that results from applying
the grok pattern that contains the custom pattern:
+
[role="screenshot"]
image::dev-tools/grokdebugger/images/grok-debugger-custom-pattern.png["Debugging a custom pattern"]
+
If an error occurs, you can continue iterating over
the custom pattern until the output matches the event
that you expect.