255 lines
8.5 KiB
Plaintext
255 lines
8.5 KiB
Plaintext
[[search-benchmark]]
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== Benchmark
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added[1.4.0]
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.Experimental!
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[IMPORTANT]
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=====
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This feature is marked as experimental, and may be subject to change in the
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future. If you use this feature, please let us know your experience with it!
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=====
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The benchmark API provides a standard mechanism for submitting queries and
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measuring their performance relative to one another.
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[IMPORTANT]
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=====
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To be eligible to run benchmarks nodes must be started with: `--node.bench true`. This is just a way to mark certain nodes as "executors". Searches will still be distributed out to the cluster in the normal manner. This is primarily a defensive measure to prevent production nodes from being flooded with potentially many requests. Typically one would start a single node with this setting and submit benchmark requests to it.
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=====
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[source,bash]
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--------------------------------------------------
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$ ./bin/elasticsearch --node.bench true
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--------------------------------------------------
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Benchmarking a search request is as simple as executing the following command:
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[source,js]
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--------------------------------------------------
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$ curl -XPUT 'localhost:9200/_bench/?pretty=true' -d '{
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"name": "my_benchmark",
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"competitors": [ {
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"name": "my_competitor",
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"requests": [ {
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"query": {
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"match": { "_all": "a*" }
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}
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} ]
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} ]
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}'
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--------------------------------------------------
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Response:
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[source,js]
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--------------------------------------------------
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{
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"status" : "complete",
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"competitors" : {
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"my_competitor" : {
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"summary" : {
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"nodes" : [ "localhost" ],
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"total_iterations" : 5,
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"completed_iterations" : 5,
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"total_queries" : 1000,
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"concurrency" : 5,
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"multiplier" : 100,
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"avg_warmup_time" : 43.0,
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"statistics" : {
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"min" : 1,
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"max" : 10,
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"mean" : 4.19,
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"qps" : 238.663,
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"std_dev" : 1.938,
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"millis_per_hit" : 1.064,
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"percentile_10" : 2,
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"percentile_25" : 3,
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"percentile_50" : 4,
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"percentile_75" : 5,
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"percentile_90" : 7,
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"percentile_99" : 10
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}
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}
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}
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}
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}
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--------------------------------------------------
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A 'competitor' defines one or more search requests to execute along with parameters that describe how the search(es) should be run.
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Multiple competitors may be submitted as a group in which case they will execute one after the other. This makes it easy to compare various
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competing alternatives side-by-side.
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There are several parameters which may be set at the competition level:
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[horizontal]
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`name`:: Unique name for the competition.
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`iterations`:: Number of times to run the competitors. Defaults to `5`.
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`concurrency`:: Within each iteration use this level of parallelism. Defaults to `5`.
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`multiplier`:: Within each iteration run the query this many times. Defaults to `1000`.
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`warmup`:: Perform warmup of query. Defaults to `true`.
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`num_slowest`:: Record N slowest queries. Defaults to `1`.
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`search_type`:: Type of search, e.g. "query_then_fetch", "dfs_query_then_fetch", "count". Defaults to `query_then_fetch`.
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`requests`:: Query DSL describing search requests.
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`clear_caches`:: Whether caches should be cleared on each iteration, and if so, how. Caches are not cleared by default.
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`indices`:: Array of indices to search, e.g. ["my_index_1", "my_index_2", "my_index_3"].
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`types`:: Array of index types to search, e.g. ["my_type_1", "my_type_2"].
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Cache clearing parameters:
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[horizontal]
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`clear_caches`:: Set to 'false' to disable cache clearing completely.
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`clear_caches.filter`:: Whether to clear the filter cache.
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`clear_caches.field_data`:: Whether to clear the field data cache.
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`clear_caches.id`:: Whether to clear the id cache.
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`clear_caches.recycler`:: Whether to clear the recycler cache.
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`clear_caches.fields`:: Array of fields to clear.
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`clear_caches.filter_keys`:: Array of filter keys to clear.
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Global parameters:
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[horizontal]
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`name`:: Unique name for the benchmark.
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`num_executor_nodes`:: Number of cluster nodes from which to submit and time benchmarks. Allows user to run a benchmark simultaneously on one or more nodes and compare timings. Note that this does not control how many nodes a search request will actually execute on. Defaults to: 1.
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`percentiles`:: Array of percentile values to report. Defaults to: [10, 25, 50, 75, 90, 99].
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Additionally, the following competition-level parameters may be set globally: iteration, concurrency, multiplier, warmup, and clear_caches.
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Using these parameters it is possible to describe precisely how to execute a benchmark under various conditions. In the following example we run a filtered query against two different indices using two different search types.
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[source,js]
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--------------------------------------------------
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$ curl -XPUT 'localhost:9200/_bench/?pretty=true' -d '{
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"name": "my_benchmark",
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"num_executor_nodes": 1,
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"percentiles" : [ 25, 50, 75 ],
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"iterations": 5,
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"multiplier": 1000,
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"concurrency": 5,
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"num_slowest": 0,
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"warmup": true,
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"clear_caches": false,
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"requests": [ {
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"query" : {
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"filtered" : {
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"query" : { "match" : { "_all" : "*" } },
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"filter" : {
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"and" : [ { "term" : { "title" : "Spain" } },
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{ "term" : { "title" : "rain" } },
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{ "term" : { "title" : "plain" } } ]
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}
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}
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}
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} ],
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"competitors": [ {
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"name": "competitor_1",
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"search_type": "query_then_fetch",
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"indices": [ "my_index_1" ],
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"types": [ "my_type_1" ],
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"clear_caches" : {
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"filter" : true,
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"field_data" : true,
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"id" : true,
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"recycler" : true,
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"fields": ["title"]
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}
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}, {
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"name": "competitor_2",
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"search_type": "dfs_query_then_fetch",
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"indices": [ "my_index_2" ],
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"types": [ "my_type_2" ],
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"clear_caches" : {
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"filter" : true,
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"field_data" : true,
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"id" : true,
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"recycler" : true,
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"fields": ["title"]
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}
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} ]
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}'
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--------------------------------------------------
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Response:
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[source,js]
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--------------------------------------------------
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{
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"status" : "complete",
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"competitors" : {
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"competitor_1" : {
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"summary" : {
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"nodes" : [ "localhost" ],
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"total_iterations" : 5,
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"completed_iterations" : 5,
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"total_queries" : 5000,
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"concurrency" : 5,
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"multiplier" : 1000,
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"avg_warmup_time" : 54.0,
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"statistics" : {
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"min" : 0,
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"max" : 3,
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"mean" : 0.533,
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"qps" : 1872.659,
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"std_dev" : 0.528,
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"millis_per_hit" : 0.0,
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"percentile_25" : 0.0,
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"percentile_50" : 1.0,
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"percentile_75" : 1.0
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}
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}
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},
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"competitor_2" : {
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"summary" : {
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"nodes" : [ "localhost" ],
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"total_iterations" : 5,
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"completed_iterations" : 5,
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"total_queries" : 5000,
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"concurrency" : 5,
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"multiplier" : 1000,
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"avg_warmup_time" : 4.0,
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"statistics" : {
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"min" : 0,
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"max" : 4,
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"mean" : 0.487,
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"qps" : 2049.180,
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"std_dev" : 0.545,
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"millis_per_hit" : 0.0,
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"percentile_25" : 0.0,
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"percentile_50" : 0.0,
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"percentile_75" : 1.0
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}
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}
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}
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}
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}
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--------------------------------------------------
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In some cases it may be desirable to view the progress of a long-running benchmark and optionally terminate it early. To view all active benchmarks use:
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[source,js]
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--------------------------------------------------
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$ curl -XGET 'localhost:9200/_bench?pretty'
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--------------------------------------------------
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This would display run-time statistics in the same format as the sample output above.
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To abort a long-running benchmark use the 'abort' endpoint:
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[source,js]
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--------------------------------------------------
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$ curl -XPOST 'localhost:9200/_bench/abort/my_benchmark?pretty'
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--------------------------------------------------
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Response:
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[source,js]
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--------------------------------------------------
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{
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"aborted_benchmarks" : [
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"node" "localhost",
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"benchmark_name", "my_benchmark",
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"aborted", true
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]
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}
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--------------------------------------------------
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