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49 lines
2.2 KiB
Text
49 lines
2.2 KiB
Text
[role="xpack"]
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[[profiler-getting-started]]
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=== Getting Started
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The {searchprofiler} is automatically enabled in {kib}. Open the main menu, click *Dev Tools*, then click *{searchprofiler}*
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to get started.
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{searchprofiler} displays the names of the indices searched, the shards in each index,
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and how long it took for the query to complete. To try it out, replace the default `match_all` query
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with the query you want to profile and click *Profile*.
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The following example shows the results of profiling the `match_all` query.
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If we take a closer look at the information for the `.kibana_1` sample index, the
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Cumulative Time field shows us that the query took 1.279ms to execute.
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[role="screenshot"]
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image::dev-tools/searchprofiler/images/overview.png["{searchprofiler} example"]
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[NOTE]
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====
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The Cumulative Time metric is the sum of individual shard times.
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It is not necessarily the actual time it took for the query to return (wall clock time).
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Because shards might be processed in parallel on multiple nodes, the wall clock time can
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be significantly less than the Cumulative Time. However, if shards are colocated on the
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same node and executed serially, the wall clock time is closer to the Cumulative Time.
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While the Cumulative Time metric is useful for comparing the performance of your
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indices and shards, it doesn't necessarily represent the actual physical query times.
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====
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You can select the name of the shard and then click *View details* to see more profiling information,
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including details about the query component(s) that ran on the shard, as well as the timing
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breakdown of low-level Lucene methods. For more information, see {ref}/search-profile.html#profiling-queries[Profiling queries].
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[float]
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=== Index and type filtering
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By default, all queries executed by the {searchprofiler} are sent
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to `GET /_search`. It searches across your entire cluster (all indices, all types).
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If you need to query a specific index or type (or several), you can use the Index
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and Type filters.
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In the following example, the query is executed against the indices `test` and `kibana_1`
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and the type `my_type`. This is equivalent making a request to `GET /test,kibana_1/my_type/_search`.
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[role="screenshot"]
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image::dev-tools/searchprofiler/images/filter.png["Filtering by index and type"]
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