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Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Latest commit

History

433 Commits

Folders and files

NameName
Last commit message
Last commit date

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Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

433 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

433 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

433 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

433 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

Test and Build WorkflowcodecovDocumentationChatPRs welcome!

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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

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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.

SQL Related Projects

The following projects have been merged into this repository as separate folders as of July 9, 2020. Please refer to links below for details. This document will focus on the SQL plugin for Elasticsearch.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) 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!

Experimental

Recently we have been actively improving our query engine primarily for better correctness and extensibility. The new enhanced query engine has been already supporting the new released Piped Processing Language query processing behind the scene. Meanwhile, the integration with SQL language is also under way. To try out the power of the new query engine with SQL, simply run the command to enable it by plugin setting. In future release, this will be enabled by default and nothing required to do from your side. Please stay tuned for updates on our progress and its new exciting features.

Here is a documentation list with features only available in this improved SQL query engine. Please follow the instruction above to enable it before trying out example queries in these docs:

  • Identifiers: support for identifier names with special characters
  • Data types: new data types such as date time and interval
  • Expressions: new expression system that can represent and evaluate complex expressions
  • SQL functions: many more string and date functions added
  • Basic queries
    • Ordering by Aggregate Functions section
    • NULLS FIRST/LAST in section Specifying Order for Null
  • Aggregations: aggregation over expression and more other features
  • Complex queries
    • Improvement on Subqueries in FROM clause
  • Window functions: ranking window function support

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 >=14
  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
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'
      
    •  SELECT address, nested(nestedField.name)
      FROM bank
      WHERE nested(nestedField, nestedField.state = 'WA' AND nestedField.name = 'test')
      OR nested(nestedField.state) = 'CA'
      
  • 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.

About

Development fork of opendistro-for-elasticsearch/sql

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages