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

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---
layout: default
title: Workload reference
nav_order: 60
has_children: true
---
# 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/user-guide/concepts#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:
```json
{
"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:
```json
{
"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]({{site.url}}{{site.baseurl}}/benchmark/configuring-benchmark/).
- For a list of prepackaged workloads for OpenSearch Benchmark, see the [opensearch-benchmark-workloads](https://github.com/opensearch-project/opensearch-benchmark-workloads) repository.