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Date: Tue, 7 Nov 2023 19:42:27 +0000
Subject: [PATCH] Delete _benchmark/workloads/reference directory (#5516)

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diff --git a/_benchmark/workloads/reference/index.md b/_benchmark/workloads/reference/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 indexes
-- 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.
diff --git a/_benchmark/workloads/reference/indices.md b/_benchmark/workloads/reference/indices.md
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----
-layout: default
-title: indices
-parent: Workload reference
-nav_order: 65
----
-
-# indices
-
-The `indices` element contains a list of all indexes used in the workload.
-
-## Example
-
-```json
-"indices": [
-    {
-      "name": "geonames",
-      "body": "geonames-index.json",
-    }
-]
-```
-
-## Configuration options
-
-Use the following options with `indices`:
-
-Parameter | Required | Type | Description
-:--- | :--- | :--- | :---
-`name` | Yes | String | The name of the index template.
-`body` | No | String | The file name corresponding to the index definition used in the body of the Create Index API.