opensearch-docs-cn/_benchmark/reference/workloads/index.md

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OpenSearch Benchmark workload reference

A workload is a specification of one or more benchmarking scenarios. A workload typically includes the following:

• One or more data streams that are ingested into indices
• A set of queries and operations that are invoked as part of the benchmark

This section provides a list of options and examples you can use when customizing or using a workload.

For more information about what comprises a workload, see [Anatomy of a workload](({{site.url}}{{site.baseurl}}/benchmark/understanding-workloads/anatomy-of-a-workload/).

Workload examples

If you want to try certain workloads before creating your own, use the following examples.

Running unthrottled

In the following example, OpenSearch Benchmark runs an unthrottled bulk index operation for 1 hour against the movies index:

{
  "description": "Tutorial benchmark for OpenSearch Benchmark",
  "indices": [
    {
      "name": "movies",
      "body": "index.json"
    }
  ],
  "corpora": [
    {
      "name": "movies",
      "documents": [
        {
          "source-file": "movies-documents.json",
          "document-count": 11658903, # Fetch document count from command line
          "uncompressed-bytes": 1544799789 # Fetch uncompressed bytes from command line
        }
      ]
    }
  ],
  "schedule": [
  {
    "operation": "bulk",
    "warmup-time-period": 120,
    "time-period": 3600,
    "clients": 8
  }
]
}

Workload with a single task

The following workload runs a benchmark with a single task: a match_all query. Because no clients are indicated, only one client is used. According to the schedule, the workload runs the match_all query at 10 operations per second with 1 client, uses 100 iterations to warm up, and uses the next 100 iterations to measure the benchmark:

{
  "description": "Tutorial benchmark for OpenSearch Benchmark",
  "indices": [
    {
      "name": "movies",
      "body": "index.json"
    }
  ],
  "corpora": [
    {
      "name": "movies",
      "documents": [
        {
          "source-file": "movies-documents.json",
          "document-count": 11658903, # Fetch document count from command line
          "uncompressed-bytes": 1544799789 # Fetch uncompressed bytes from command line
        }
      ]
    }
  ],
{
  "schedule": [
    {
      "operation": {
        "operation-type": "search",
        "index": "_all",
        "body": {
          "query": {
            "match_all": {}
          }
        }
      },
      "warmup-iterations": 100,
      "iterations": 100,
      "target-throughput": 10
    }
  ]
}
}

Next steps

• For more information about configuring OpenSearch Benchmark, see Configuring OpenSearch Benchmark.
• For a list of prepackaged workloads for OpenSearch Benchmark, see the opensearch-benchmark-workloads repository.