Open Distro for Elasticsearch SQL

Open Distro for Elasticsearch enables you to extract insights out of Elasticsearch using the familiar SQL query syntax. Use aggregations, group by, and where clauses to investigate your data. Read your data as JSON documents or CSV tables so you have the flexibility to use the format that works best for you.

Demo

Before you dive into the installation and documentation, you may want to get a taste of what our plugin works like. We prepare the following test index accounts for you to play around with.

account_number	firstname	address	balance	gender	city	employer	state	age	email	lastname
1	Amber	880 Holmes Lane	39225	M	Brogan	Pyrami	IL	32	[email protected]	Duke
6	Hattie	671 Bristol Street	5686	M	Dante	Netagy	TN	36	[email protected]	Bond
13	Nanette	789 Madison Street	32838	F	Nogal	Quility	VA	28	[email protected]	Bates
18	Dale	467 Hutchinson Court	4180	M	Orick	Boink	MD	33	[email protected]	Adams
20	Elinor	282 Kings Place	16418	M	Ribera	Scentric	WA	36	[email protected]	Ratliff

(Only show the first 5 rows. Please find the full data set in https://download.elastic.co/demos/kibana/gettingstarted/accounts.zip)

Now you can start to run SQL queries against Elasticsearch:

test

Documentation

Please refer to the reference manual and technical documentation for detailed information on installing and configuring opendistro-elasticsearch-sql plugin. Looking to contribute? Read the instructions on Development Guide and then submit a patch!

Setup

Install as plugin: build plugin from source code by following the instruction in Build section and install it to your Elasticsearch.

After doing this, you need to restart the Elasticsearch server. Otherwise you may get errors like Invalid index name [sql], must not start with '']; ","status":400}.

Build

The package uses the Gradle build system.

1. Checkout this package from version control.
2. To build from command line set JAVA_HOME to point to a JDK >=12
3. Run ./gradlew build

Basic Usage

To use the feature, send requests to the _opendistro/_sql URI. You can use a request parameter or the request body (recommended).

• Simple query

GET https://<host>:<port>/_opendistro/_sql?sql=select * from my-index limit 50

POST https://<host>:<port>/_opendistro/_sql
{
  "query": "SELECT * FROM my-index LIMIT 50"
}

• Explain SQL to elasticsearch query DSL

POST _opendistro/_sql/_explain
{
  "query": "SELECT * FROM my-index LIMIT 50"
}

• For a sample curl command with the Open Distro for Elasticsearch Security plugin, try:

curl -XPOST https://localhost:9200/_opendistro/_sql -u admin:admin -k -d '{"query": "SELECT * FROM my-index LIMIT 10"}' -H 'Content-Type: application/json'

SQL Usage

• Query

    SELECT * FROM bank WHERE age >30 AND gender = 'm'
  

• Aggregation

    SELECT COUNT(*),SUM(age),MIN(age) as m, MAX(age),AVG(age)
    FROM bank
    GROUP BY gender
    HAVING m >= 20
    ORDER BY SUM(age), m DESC
  

• Join

    SELECT b1.firstname, b1.lastname, b2.age
    FROM bank b1
    LEFT JOIN bank b2
    ON b1.age = b2.age AND b1.state = b2.state
  

• Show

    SHOW TABLES LIKE ban%
    DESCRIBE TABLES LIKE bank
  

• Delete

    DELETE FROM bank WHERE age >30 AND gender = 'm'
  

Beyond SQL

• Search

    SELECT address FROM bank WHERE address = matchQuery('880 Holmes Lane') ORDER BY _score DESC LIMIT 3
  

• Nested Field

    SELECT address FROM bank b, b.nestedField e WHERE b.state = 'WA' and e.name = 'test'
  

• Aggregations

  • range age group 20-25,25-30,30-35,35-40

      SELECT COUNT(age) FROM bank GROUP BY range(age, 20,25,30,35,40)
    

  • range date group by day

      SELECT online FROM online GROUP BY date_histogram(field='insert_time','interval'='1d')
    

  • range date group by your config

      SELECT online FROM online GROUP BY date_range(field='insert_time','format'='yyyy-MM-dd' ,'2014-08-18','2014-08-17','now-8d','now-7d','now-6d','now')
    

• ES Geographic

    SELECT * FROM locations WHERE GEO_BOUNDING_BOX(fieldname,100.0,1.0,101,0.0)
  

• Select type or pattern

    SELECT * FROM indexName/type
    SELECT * FROM index*
  

SQL Features

• SQL Select
• SQL Delete
• SQL Where
• SQL Order By
• SQL Group By
• SQL Having
• SQL Inner Join
• SQL Left Join
• SQL Show
• SQL Describe
• SQL AND & OR
• SQL Like
• SQL COUNT distinct
• SQL In
• SQL Between
• SQL Aliases
• SQL Not Null
• SQL(ES) Date
• SQL avg()
• SQL count()
• SQL max()
• SQL min()
• SQL sum()
• SQL Nulls
• SQL isnull()
• SQL floor
• SQL trim
• SQL log
• SQL log10
• SQL substring
• SQL round
• SQL sqrt
• SQL concat_ws
• SQL union and minus

JDBC Support

Please check out JDBC driver repository for more details.

Beyond sql features

• ES TopHits
• ES MISSING
• ES STATS
• ES GEO_INTERSECTS
• ES GEO_BOUNDING_BOX
• ES GEO_DISTANCE
• ES GEOHASH_GRID aggregation

Attribution

This project is based on the Apache 2.0-licensed elasticsearch-sql project. Thank you eliranmoyal, shi-yuan, ansjsun and everyone else who contributed great code to that project. Read this for more details Attributions.

Code of Conduct

This project has adopted an Open Source Code of Conduct.

Security issue notifications

If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our vulnerability reporting page. Please do not create a public GitHub issue.

Licensing

See the LICENSE file for our project's licensing. We will ask you to confirm the licensing of your contribution.

Copyright

Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.