Add custom workload tutorial (#4169)
* Add custom workload tutorial Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Add space to concept definition Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Apply suggestions from code review Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Update _benchmark/creating-a-custom-workload.md Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Apply suggestions from code review Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Update creating-a-custom-workload.md Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Heather Halter <HDHALTER@AMAZON.COM> Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Update _benchmark/creating-a-custom-workload.md Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> * Add note about pipelines, change title. Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Fix typo Signed-off-by: Naarcha-AWS <naarcha@amazon.com> --------- Signed-off-by: Naarcha-AWS <naarcha@amazon.com> Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> Co-authored-by: Heather Halter <HDHALTER@AMAZON.COM>
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---
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layout: default
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title: Creating custom workloads
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nav_order: 10
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has_children: false
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---
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# Creating custom workloads
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OpenSearch Benchmark includes a set of [workloads](https://github.com/opensearch-project/opensearch-benchmark-workloads) that you can use to benchmark data from your cluster. Additionally, if you want to create a workload that is tailored to your own data, you can create a custom workload using one of the following options:
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- [Creating a workload from an existing cluster](#creating-a-workload-from-an-existing-cluster)
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- [Creating a workload without an existing cluster](#creating-a-workload-without-an-existing-cluster)
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## Creating a workload from an existing cluster
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If you already have an OpenSearch cluster with indexed data, use the following steps to create a custom workload for your cluster.
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### Prerequisites
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Before creating a custom workload, make sure you have the following prerequisites:
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- An OpenSearch cluster with an index that contains 1000 or more documents. If your cluster's index does not contain at least 1000 documents, the workload can still run tests, however, you cannot run workloads using `--test-mode`.
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- You must have the correct permissions to access your OpenSearch cluster. For more information about cluster permissions, see [Permissions]({{site.url}}{{site.baseurl}}/security/access-control/permissions/).
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### Customizing the workload
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To begin creating a custom workload, use the `opensearch-benchmark create-workload` command.
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```
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opensearch-benchmark create-workload \
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--workload="<WORKLOAD NAME>" \
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--target-hosts="<CLUSTER ENDPOINT>" \
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--client-options="basic_auth_user:'<USERNAME>',basic_auth_password:'<PASSWORD>'" \
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--indices="<INDICES TO GENERATE WORKLOAD FROM>" \
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--output-path="<LOCAL DIRECTORY PATH TO STORE WORKLOAD>"
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```
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Replace the following options in the preceding example with information specific to your existing cluster:
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- `--workload`: A custom name for your custom workload.
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- `--target-hosts:` A comma-separated list of host:port pairs for the cluster to extract data from.
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- `--client-options`: The basic authentication client options that OpenSearch Benchmark uses to access the cluster.
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- `--indices`: One or more indexes inside your OpenSearch cluster that contain data.
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- `--output-path`: The directory where OpenSearch Benchmark creates the workload and its configuration files.
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The following example response creates a workload named `movies` from a cluster with an index named `movies-info`. The `movies-info` index contains over 2000 documents.
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```
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____ _____ __ ____ __ __
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/ __ \____ ___ ____ / ___/___ ____ ___________/ /_ / __ )___ ____ _____/ /_ ____ ___ ____ ______/ /__
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/ / / / __ \/ _ \/ __ \\__ \/ _ \/ __ `/ ___/ ___/ __ \ / __ / _ \/ __ \/ ___/ __ \/ __ `__ \/ __ `/ ___/ //_/
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/ /_/ / /_/ / __/ / / /__/ / __/ /_/ / / / /__/ / / / / /_/ / __/ / / / /__/ / / / / / / / / /_/ / / / ,<
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\____/ .___/\___/_/ /_/____/\___/\__,_/_/ \___/_/ /_/ /_____/\___/_/ /_/\___/_/ /_/_/ /_/ /_/\__,_/_/ /_/|_|
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/_/
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[INFO] You did not provide an explicit timeout in the client options. Assuming default of 10 seconds.
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[INFO] Connected to OpenSearch cluster [380d8fd64dd85b5f77c0ad81b0799e1e] version [1.1.0].
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Extracting documents for index [movies] for test mode... 1000/1000 docs [100.0% done]
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Extracting documents for index [movies]... 2000/2000 docs [100.0% done]
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[INFO] Workload movies has been created. Run it with: opensearch-benchmark --workload-path=/Users/hoangia/Desktop/workloads/movies
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-------------------------------
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[INFO] SUCCESS (took 2 seconds)
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-------------------------------
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```
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As part of workload creation, OpenSearch Benchmark generates the following files. You can access them in directory specified by the `--output-path` option.
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- `workload.json`: Contains general workload specifications.
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- `<index>.json`: Contains mappings and settings for the extracted indexes.
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- `<index>-documents.json`: Contains the sources of every document from the extracted indexes. Any sources suffixed with `-1k` encompasses only a fraction of the document corpus of the workload and are only used when running the workload in test mode.
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By default, OpenSearch Benchmark does not contain a reference to generate queries. Because you have the best understanding of your data, we recommend adding a query to `workload.json` that matches your index's specifications. Use the following `match_all` query as an example of a query added to your workload:
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```
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{
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"operation": {
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"name": "query-match-all",
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"operation-type": "search",
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"body": {
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"query": {
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"match_all": {}
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}
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}
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},
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"clients": 8,
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"warmup-iterations": 1000,
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"iterations": 1000,
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"target-throughput": 100
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}
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```
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### Creating a workload without an existing cluster
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If you want to create a custom workload but do not have an existing OpenSearch cluster with indexed data, you can create the workload by building the workload source files directly. All you need is data that can be exported into a JSON format.
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To build a workload with source files, create a directory for your workload and perform the following steps:
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1. Build a `<index>-documents.json` file that contains rows of documents that comprise the document corpora of the workload, and houses all data to be ingested and queried into the cluster. The following example shows the first few rows of a `movies-documents.json` file that contains rows of documents about famous movies:
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```json
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# First few rows of movies-documents.json
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{"title": "Back to the Future", "director": "Robert Zemeckis", "revenue": "$212,259,762 USD", "rating": "8.5 out of 10", "image_url": "https://imdb.com/images/32"}
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{"title": "Avengers: Endgame", "director": "Anthony and Joe Russo", "revenue": "$2,800,000,000 USD", "rating": "8.4 out of 10", "image_url": "https://imdb.com/images/2"}
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{"title": "The Grand Budapest Hotel", "director": "Wes Anderson", "revenue": "$173,000,000 USD", "rating": "8.1 out of 10", "image_url": "https://imdb.com/images/65"}
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{"title": "The Godfather: Part II", "director": "Francis Ford Coppola", "revenue": "$48,000,000 USD", "rating": "9 out of 10", "image_url": "https://imdb.com/images/7"}
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```
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2. In the same directory, build a `index.json` file. The workload uses this file as a reference for data mappings and index settings for the documents contained in `<index>-documents.json`. The following example creates mappings and settings specific to the `movie-documents.json` data from the previous step:
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```json
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{
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"settings": {
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"index.number_of_replicas": 0
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},
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"mappings": {
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"dynamic": "strict",
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"properties": {
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"title": {
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"type": "text"
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},
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"director": {
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"type": "text"
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},
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"revenue": {
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"type": "text"
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},
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"rating": {
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"type": "text"
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},
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"image_url": {
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"type": "text"
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}
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}
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}
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}
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```
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3. Next, build a `workload.json` file that provides a high-level overview of your workload and determines how your workload runs benchmark tests. The `workload.json` file contains the following sections:
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- `indices`: Defines the name of the index to be created in your OpenSearch cluster using the mappings from the workload's `index.json` file created in the previous step.
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- `corpora`: Defines the corpora and the source file, including the:
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- `document-count`: The number of documents in `<index>-documents.json`. To get an accurate number of documents, run `wc -l <index>-documents.json`.
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- `uncompressed-bytes`: The number of bytes inside the index. To get an accurate number of bytes, run `stat -f %z <index>-documents.json` on macOS or `stat -c %s <index>-documents.json` on GNU/Linux. Alternatively, run `ls -lrt | grep <index>-documents.json`.
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- `schedule`: Defines the sequence of operations and available test procedures for the workload.
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The following example `workload.json` provides the entry point for the `movies` workload. The `indices` section creates an index called `movies`. The corpora section refers to the source file created in step one, `movie-documents.json` and provides the document count and uncompressed bytes. Lastly, the schedule section defines a few operations the workload performs when invoked, including:
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- Deleting any current index named `movies`.
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- Creating an index named `movies` based on data from `movie-documents.json` and the mappings from `index.json`.
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- Verifying the cluster is in good health and can ingest the new index.
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- Ingesting the data corpora from `workload.json` into the cluster.
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- Querying the results.
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```json
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{
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"version": 2,
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"description": "Tutorial benchmark for OpenSearch Benchmark",
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"indices": [
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{
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"name": "movies",
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"body": "index.json"
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}
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],
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"corpora": [
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{
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"name": "movies",
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"documents": [
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{
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"source-file": "movies-documents.json",
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"document-count": 11658903, # Fetch document count from command line
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"uncompressed-bytes": 1544799789 # Fetch uncompressed bytes from command line
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}
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]
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}
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],
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"schedule": [
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{
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"operation": {
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"operation-type": "delete-index"
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}
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},
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{
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"operation": {
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"operation-type": "create-index"
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}
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},
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{
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"operation": {
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"operation-type": "cluster-health",
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"request-params": {
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"wait_for_status": "green"
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},
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"retry-until-success": true
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}
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},
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{
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"operation": {
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"operation-type": "bulk",
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"bulk-size": 5000
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},
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"warmup-time-period": 120,
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"clients": 8
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},
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{
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"operation": {
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"operation-type": "force-merge"
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}
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},
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{
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"operation": {
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"name": "query-match-all",
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"operation-type": "search",
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"body": {
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"query": {
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"match_all": {}
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}
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}
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},
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"clients": 8,
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"warmup-iterations": 1000,
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"iterations": 1000,
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"target-throughput": 100
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}
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]
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}
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```
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4. With all the workload files created, verify the workload runs by executing a test. To verify the workload, run the following command, replacing `--workload-path` with a path to your workload directory:
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```
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opensearch-benchmark list workloads --workload-path=</path/to/workload/>
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```
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## Invoking your custom workload
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Use the `opensearch-benchmark execute-test` command to invoke your new workload and run a benchmark test against your OpenSearch cluster, as shown in the following example. Replace `--workload-path` with the path to your custom workload, `--target-host` with the `host:port` pairs for your cluster, and `--client-options` with any authorization options required to access the cluster.
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```
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opensearch-benchmark execute_test \
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--pipeline="benchmark-only" \
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--workload-path="<PATH OUTPUTTED IN THE OUTPUT OF THE CREATE-WORKLOAD COMMAND>" \
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--target-host="<CLUSTER ENDPOINT>" \
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--client-options="basic_auth_user:'<USERNAME>',basic_auth_password:'<PASSWORD>'"
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```
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Results from the test appear in the directory set by `--output-path` option in `workloads.json`.
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## Advanced options
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You can enhance your custom workload's functionality with the following advanced options.
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### Test mode
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If you want run the test in test mode to make sure your workload operates as intended, add the `--test-mode` option to the `execute-test` command. Test mode ingests only the first 1000 documents from each index provided and runs query operations against them.
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To use test mode, create a `<index>-documents-1k.json` file that contains the first 1000 documents from `<index>-documents.json` using the following command:
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```
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head -n 1000 <index>-documents.json > <index>-documents-1k.json
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```
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Then, run `opensearch-benchmark execute-test` with the option `--test-mode`. Test mode runs a quick version of the workload test.
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```
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opensearch-benchmark execute_test \
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--pipeline="benchmark-only" \
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--workload-path="<PATH OUTPUTTED IN THE OUTPUT OF THE CREATE-WORKLOAD COMMAND>" \
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--target-host="<CLUSTER ENDPOINT>" \
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--client-options"basic_auth_user:'<USERNAME>',basic_auth_password:'<PASSWORD>'" \
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--test-mode
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```
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### Adding variance to test procedures
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After using your custom workload several times, you might want to use the same workload but perform the workload's operations in a different order. Instead of creating a new workload or reorganizing the procedures directly, you can provide test procedures to vary workload operations.
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To add variance to your workload operations, go to your `workload.json` file and replace the `schedule` section with a `test_procedures` array, as shown in the following example. Each item in the array contains the following:
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- `name`: The name of the test procedure.
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- `default`: When set to `true`, OpenSearch Benchmark defaults to the test procedure specified as `default` in the workload if no other test procedures are specified.
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- `schedule`: All the operations the test procedure will run.
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```json
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"test_procedures": [
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{
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"name": "index-and-query",
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"default": true,
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"schedule": [
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{
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"operation": {
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"operation-type": "delete-index"
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}
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},
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{
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"operation": {
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"operation-type": "create-index"
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}
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},
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{
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"operation": {
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"operation-type": "cluster-health",
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"request-params": {
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"wait_for_status": "green"
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},
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"retry-until-success": true
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}
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},
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{
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"operation": {
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"operation-type": "bulk",
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"bulk-size": 5000
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},
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"warmup-time-period": 120,
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"clients": 8
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},
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{
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"operation": {
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"operation-type": "force-merge"
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}
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},
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{
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"operation": {
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"name": "query-match-all",
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"operation-type": "search",
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"body": {
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"query": {
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"match_all": {}
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}
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||||||
|
}
|
||||||
|
},
|
||||||
|
"clients": 8,
|
||||||
|
"warmup-iterations": 1000,
|
||||||
|
"iterations": 1000,
|
||||||
|
"target-throughput": 100
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
### Separate operations and test procedures
|
||||||
|
|
||||||
|
If you want to make your `workload.json` file more readable, you can separate your operations and test procedures into different directories and reference the path to each in `workload.json`. To separate operations and procedures, perform the following steps:
|
||||||
|
|
||||||
|
1. Add all test procedures to a single file. You can give the file any name. Because the `movies` workload in the preceding contains and index task and queries, this step names the test procedures file `index-and-query.json`.
|
||||||
|
2. Add all operations to a file named `operations.json`.
|
||||||
|
3. Reference the new files in `workloads.json` by adding the following syntax, replacing `parts` with the relative path to each file, as showing in the following example:
|
||||||
|
|
||||||
|
```json
|
||||||
|
"operations": [
|
||||||
|
{{ benchmark.collect(parts="operations/*.json") }}
|
||||||
|
]
|
||||||
|
# Reference test procedure files in workload.json
|
||||||
|
"test_procedures": [
|
||||||
|
{{ benchmark.collect(parts="test_procedures/*.json") }}
|
||||||
|
]
|
||||||
|
```
|
||||||
|
|
||||||
|
## Next steps
|
||||||
|
|
||||||
|
- For more information about configuring OpenSearch Benchmark, see [Configuring OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/configuring-benchmark/).
|
||||||
|
- To show a list of pre-packaged workloads for OpenSearch Benchmark, see the [opensearch-benchmark-workloads](https://github.com/opensearch-project/opensearch-benchmark-workloads) repo.
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -16,3 +16,17 @@ OpenSearch Benchmark is a macrobenchmark utility provided by the [OpenSearch Pro
|
||||||
|
|
||||||
OpenSearch Benchmark can be installed directly on a compatible host running Linux and macOS. You can also run OpenSearch Benchmark in a Docker container. See [Installing OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/installing-benchmark/) for more information.
|
OpenSearch Benchmark can be installed directly on a compatible host running Linux and macOS. You can also run OpenSearch Benchmark in a Docker container. See [Installing OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/installing-benchmark/) for more information.
|
||||||
|
|
||||||
|
## Concepts
|
||||||
|
|
||||||
|
Before using OpenSearch Benchmark, familiarize yourself with the following concepts:
|
||||||
|
|
||||||
|
- **Workload**: The description of one or more benchmarking scenarios that use a specific document corpus from which to perform a benchmark against your cluster. The document corpus contains any indexes, data files, and operations invoked when the workflow runs. You can list the available workloads by using `opensearch-benchmark list workloads` or view any included workloads inside the [OpenSearch Benchmark Workloads repository](https://github.com/opensearch-project/opensearch-benchmark-workloads/). For information about building a custom workload, see [Creating custom workloads]({{site.url}}{{site.baseurl}}/benchmark/creating-custom-workloads/).
|
||||||
|
|
||||||
|
- **Pipeline**: A series of steps before and after a workload is run that determines benchmark results. OpenSearch Benchmark supports three pipelines:
|
||||||
|
- `from-sources`: Builds and provisions OpenSearch, runs a benchmark, and then publishes the results.
|
||||||
|
- `from-distribution`: Downloads an OpenSearch distribution, provisions it, runs a benchmark, and then publishes the results.
|
||||||
|
- `benchmark-only`: The default pipeline. Assumes an already running OpenSearch instance, runs a benchmark on that instance, and then publishes the results.
|
||||||
|
|
||||||
|
- **Test**: A single invocation of the OpenSearch Benchmark binary.
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -78,7 +78,7 @@ Use [pyenv](https://github.com/pyenv/pyenv) to manage multiple versions of Pytho
|
||||||
|
|
||||||
### Completing the installation
|
### Completing the installation
|
||||||
|
|
||||||
After the required is installed, you can install OpenSearch Benchmark using the following command:
|
After the required software is installed, you can install OpenSearch Benchmark using the following command:
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
pip install opensearch-benchmark
|
pip install opensearch-benchmark
|
||||||
|
|
@ -153,3 +153,4 @@ See [Configuring OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/co
|
||||||
## Next steps
|
## Next steps
|
||||||
|
|
||||||
- [Configuring OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/configuring-benchmark/)
|
- [Configuring OpenSearch Benchmark]({{site.url}}{{site.baseurl}}/benchmark/configuring-benchmark/)
|
||||||
|
- [Creating custom workloads]({{site.url}}{{site.baseurl}}/benchmark/creating-custom-workloads/)
|
||||||
Loading…
Reference in New Issue