--- layout: default title: PPL – Piped Processing Language parent: SQL and PPL nav_order: 5 has_children: true has_toc: false redirect_from: - /search-plugins/sql/ppl/ - /search-plugins/ppl/ - /observability-plugin/ppl/ - /search-plugins/ppl/index/ --- # PPL – Piped Processing Language Piped Processing Language (PPL) is a query language that lets you use pipe (`|`) syntax to explore, discover, and query data stored in OpenSearch. To quickly get up and running with PPL, use **Query Workbench** in OpenSearch Dashboards. To learn more, see [Workbench]({{site.url}}{{site.baseurl}}/search-plugins/sql/workbench/). The PPL syntax consists of commands delimited by the pipe character (`|`) where data flows from left to right through each pipeline. ```sql search command | command 1 | command 2 ... ``` You can only use read-only commands like `search`, `where`, `fields`, `rename`, `dedup`, `stats`, `sort`, `eval`, `head`, `top`, and `rare`. ## Quick start To get started with PPL, choose **Dev Tools** in OpenSearch Dashboards and use the `bulk` operation to index some sample data: ```json PUT accounts/_bulk?refresh {"index":{"_id":"1"}} {"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"} {"index":{"_id":"6"}} {"account_number":6,"balance":5686,"firstname":"Hattie","lastname":"Bond","age":36,"gender":"M","address":"671 Bristol Street","employer":"Netagy","email":"hattiebond@netagy.com","city":"Dante","state":"TN"} {"index":{"_id":"13"}} {"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison Street","employer":"Quility","city":"Nogal","state":"VA"} {"index":{"_id":"18"}} {"account_number":18,"balance":4180,"firstname":"Dale","lastname":"Adams","age":33,"gender":"M","address":"467 Hutchinson Court","email":"daleadams@boink.com","city":"Orick","state":"MD"} ``` Go to **Query Workbench** and select **PPL**. The following example returns `firstname` and `lastname` fields for documents in an `accounts` index with `age` greater than 18: ```sql search source=accounts | where age > 18 | fields firstname, lastname ``` #### Sample Response firstname | lastname | :--- | :--- | Amber | Duke Hattie | Bond Nanette | Bates Dale | Adams ![PPL query workbench]({{site.url}}{{site.baseurl}}/images/ppl.png)