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OpenSearch/client/benchmark
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Maxime Gréau 771defb97c
Build: Add 3rd party dependencies report generation (#27727) 
* Adds task dependenciesInfo to BuildPlugin to generate a CSV file with dependencies information (name,version,url,license)
* Adds `ConcatFilesTask.groovy` to concatenates multiple files into one
* Adds task `:distribution:generateDependenciesReport` to concatenate `dependencies.csv` files into a single file (`es-dependencies.csv` by default)

 # Examples:
      $ gradle dependenciesInfo :distribution:generateDependenciesReport

 ## Use `csv` system property to customize the output file path
     $ gradle dependenciesInfo :distribution:generateDependenciesReport -Dcsv=/tmp/elasticsearch-dependencies.csv

 ## When branch is not master, use `build.branch` system property to generate correct licenses URLs
     $ gradle dependenciesInfo :distribution:generateDependenciesReport -Dbuild.branch=6.x -Dcsv=/tmp/elasticsearch-dependencies.csv
 		2017-12-26 10:51:47 +01:00
..
src/main Revert shading for the low level rest client (#26367) 2017-08-25 14:13:12 -05:00
README.md Add client-benchmark-noop-api-plugin to stress clients even more in benchmarks (#20103) 2016-08-26 09:05:47 +02:00
build.gradle Build: Add 3rd party dependencies report generation (#27727) 2017-12-26 10:51:47 +01:00

README.md

Steps to execute the benchmark

  1. Build client-benchmark-noop-api-plugin with gradle :client:client-benchmark-noop-api-plugin:assemble
  2. Install it on the target host with bin/elasticsearch-plugin install file:///full/path/to/client-benchmark-noop-api-plugin.zip
  3. Start Elasticsearch on the target host (ideally not on the same machine)
  4. Build an uberjar with gradle :client:benchmark:shadowJar and execute it.

Repeat all steps above for the other benchmark candidate.

Example benchmark

In general, you should define a few GC-related settings -Xms8192M -Xmx8192M -XX:+UseConcMarkSweepGC -verbose:gc -XX:+PrintGCDetails and keep an eye on GC activity. You can also define -XX:+PrintCompilation to see JIT activity.

Bulk indexing

Download benchmark data from http://benchmarks.elastic.co/corpora/geonames/documents.json.bz2 and decompress them.

Example command line parameters:

rest bulk 192.168.2.2 ./documents.json geonames type 8647880 5000

The parameters are in order:

  • Client type: Use either "rest" or "transport"
  • Benchmark type: Use either "bulk" or "search"
  • Benchmark target host IP (the host where Elasticsearch is running)
  • full path to the file that should be bulk indexed
  • name of the index
  • name of the (sole) type in the index
  • number of documents in the file
  • bulk size

Bulk indexing

Example command line parameters:

rest search 192.168.2.2 geonames "{ \"query\": { \"match_phrase\": { \"name\": \"Sankt Georgen\" } } }\"" 500,1000,1100,1200

The parameters are in order:

  • Client type: Use either "rest" or "transport"
  • Benchmark type: Use either "bulk" or "search"
  • Benchmark target host IP (the host where Elasticsearch is running)
  • name of the index
  • a search request body (remember to escape double quotes). The TransportClientBenchmark uses QueryBuilders.wrapperQuery() internally which automatically adds a root key query, so it must not be present in the command line parameter.
  • A comma-separated list of target throughput rates