62 lines
2.3 KiB
Markdown
62 lines
2.3 KiB
Markdown
---
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layout: default
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title: Piped processing language
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nav_order: 42
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has_children: true
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has_toc: false
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redirect_from:
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- /ppl/
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- /search-plugins/ppl/
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---
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# Piped Processing Language
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Piped Processing Language (PPL) is a query language that lets you use pipe (`|`) syntax to explore, discover, and query data stored in OpenSearch.
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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/).
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The PPL syntax consists of commands delimited by the pipe character (`|`) where data flows from left to right through each pipeline.
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```sql
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search command | command 1 | command 2 ...
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```
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You can only use read-only commands like `search`, `where`, `fields`, `rename`, `dedup`, `stats`, `sort`, `eval`, `head`, `top`, and `rare`.
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## Quick start
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To get started with PPL, choose **Dev Tools** in OpenSearch Dashboards and use the `bulk` operation to index some sample data:
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```json
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PUT accounts/_bulk?refresh
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{"index":{"_id":"1"}}
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{"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"}
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{"index":{"_id":"6"}}
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{"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"}
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{"index":{"_id":"13"}}
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{"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison Street","employer":"Quility","city":"Nogal","state":"VA"}
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{"index":{"_id":"18"}}
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{"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"}
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```
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Go to **Query Workbench** and select **PPL**.
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The following example returns `firstname` and `lastname` fields for documents in an `accounts` index with `age` greater than 18:
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```json
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search source=accounts
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| where age > 18
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| fields firstname, lastname
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```
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#### Sample Response
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firstname | lastname |
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:--- | :--- |
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Amber | Duke
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Hattie | Bond
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Nanette | Bates
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Dale | Adams
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