63 lines
2.4 KiB
Markdown
63 lines
2.4 KiB
Markdown
### Steps to execute the benchmark
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1. Build `client-benchmark-noop-api-plugin` with `gradle :client:client-benchmark-noop-api-plugin:assemble`
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2. Install it on the target host with `bin/elasticsearch-plugin install file:///full/path/to/client-benchmark-noop-api-plugin.zip`
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3. Start Elasticsearch on the target host (ideally *not* on the machine
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that runs the benchmarks)
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4. Run the benchmark with
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```
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./gradlew -p client/benchmark run --args ' params go here'
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```
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Everything in the `'` gets sent on the command line to JMH. The leading ` `
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inside the `'`s is important. Without it parameters are sometimes sent to
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gradle.
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See below for some example invocations.
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### Example benchmark
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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.
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#### Bulk indexing
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Download benchmark data from http://benchmarks.elasticsearch.org.s3.amazonaws.com/corpora/geonames and decompress them.
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Example invocation:
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```
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wget http://benchmarks.elasticsearch.org.s3.amazonaws.com/corpora/geonames/documents-2.json.bz2
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bzip2 -d documents-2.json.bz2
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mv documents-2.json client/benchmark/build
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gradlew -p client/benchmark run --args ' rest bulk localhost build/documents-2.json geonames type 8647880 5000'
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```
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The parameters are all in the `'`s and are in order:
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* Client type: Use either "rest" or "transport"
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* Benchmark type: Use either "bulk" or "search"
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* Benchmark target host IP (the host where Elasticsearch is running)
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* full path to the file that should be bulk indexed
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* name of the index
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* name of the (sole) type in the index
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* number of documents in the file
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* bulk size
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#### Search
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Example invocation:
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```
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gradlew -p client/benchmark run --args ' rest search localhost geonames {"query":{"match_phrase":{"name":"Sankt Georgen"}}} 500,1000,1100,1200'
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```
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The parameters are in order:
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* Client type: Use either "rest" or "transport"
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* Benchmark type: Use either "bulk" or "search"
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* Benchmark target host IP (the host where Elasticsearch is running)
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* name of the index
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* 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.
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* A comma-separated list of target throughput rates
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