143 lines
4.0 KiB
Markdown
143 lines
4.0 KiB
Markdown
---
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layout: default
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title: Dashboards query language
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nav_order: 90
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---
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# Dashboards Query Language
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Similar to the [Query DSL]({{site.url}}{{site.baseurl}}/opensearch/query-dsl/index) that lets you use the HTTP request body to search for data, you can use the Dashboards Query Language (DQL) in OpenSearch Dashboards to search for data and visualizations.
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For example, if you want to see all visualizations of visits to a host based in the US, enter `geo.dest:US` into the search field, and Dashboards refreshes to display all related data.
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Just like the query DSL, DQL has a handful of query types, so use whichever best fits your use case.
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This section uses the OpenSearch Dashboards sample web log data. To add sample data in Dashboards, log in to OpenSearch Dashboards, choose **Home**, **Add sample data**, and then **Add data**.
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---
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#### Table of contents
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1. TOC
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{:toc}
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---
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## Terms query
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The most basic query is to just specify the term you're searching for.
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```
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host:www.example.com
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```
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To access an object's nested field, list the complete path to the field separated by periods. For example, to retrieve the `lat` field in the `coordinates` object:
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```
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coordinates.lat:43.7102
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```
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DQL also supports leading and trailing wildcards, so you can search for any terms that match your pattern.
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```
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host.keyword:*.example.com/*
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```
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To check if a field exists or has any data, use a wildcard to see if Dashboards returns any results.
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```
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host.keyword:*
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```
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## Boolean query
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To mix and match, or even combine, multiple queries for more refined results, you can use the boolean operators `and`, `or`, and `not`. DQL is not case sensitive, so `AND` and `and` are the same.
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```
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host.keyword:www.example.com and response.keyword:200
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```
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The following example demonstrates how to use multiple operators in one query.
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```
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geo.dest:US or response.keyword:200 and host.keyword:www.example.com
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```
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Remember that boolean operators follow the logical precedence order of `not`, `and`, and `or`, so if you have an expression like the previous example, `response.keyword:200 and host.keyword:www.example.com` gets evaluated first, and then Dashboards uses that result to compare with `geo.dest:US`.
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To avoid confusion, we recommend using parentheses to dictate the order you want to evaluate in. If you want to evaluate `geo.dest:US or response.keyword:200` first, your expression becomes:
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```
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(geo.dest:US or response.keyword:200) and host.keyword:www.example.com
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```
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## Date and range queries
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DQL also supports inequalities if you're using numeric inequalities.
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```
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bytes >= 15 and memory < 15
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```
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Similarly, you can use the same method to find a date before or after your query. `>` indicates a search for a date after your specified date, and `<` returns dates before.
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```
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@timestamp > "2020-12-14T09:35:33"
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```
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## Nested field query
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If you have a document with nested fields, you have to specify which parts of the document you want to retrieve.
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Suppose that you have the following document:
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```json
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{
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"superheroes":[
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{
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"hero-name": "Superman",
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"real-identity": "Clark Kent",
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"age": 28
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},
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{
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"hero-name": "Batman",
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"real-identity": "Bruce Wayne",
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"age": 26
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},
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{
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"hero-name": "Flash",
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"real-identity": "Barry Allen",
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"age": 28
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},
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{
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"hero-name": "Robin",
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"real-identity": "Dick Grayson",
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"age": 15
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}
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]
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}
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```
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The following example demonstrates how to use DQL to retrieve a specific field.
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```
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superheroes: {hero-name: Superman}
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```
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If you want to retrieve multiple objects from your document, just specify all of the fields you want to retrieve.
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```
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superheroes: {hero-name: Superman} and superheroes: {hero-name: Batman}
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```
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The previous boolean and range queries still work, so you can submit a more refined query.
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```
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superheroes: {hero-name: Superman and age < 50}
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```
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If your document has an object nested within another object, you can still retrieve data by specifying all of the levels.
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```
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justice-league.superheroes: {hero-name:Superman}
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```
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