Type to search.

Columnar results

Serverless

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

The most well known way of displaying the results of an SQL query result in general is the one where each individual record/document represents one line/row. For certain formats, Elasticsearch SQL can return the results in a columnar fashion: one row represents all the values of a certain column from the current page of results.

The following formats can be returned in columnar orientation: json, yaml, cbor and smile.

JSON
POST /_sql?format=json
{
  "query": "SELECT * FROM library ORDER BY page_count DESC",
  "fetch_size": 5,
  "columnar": true
}

Which returns:

JSON
{
  "columns": [
    {"name": "author", "type": "text"},
    {"name": "name", "type": "text"},
    {"name": "page_count", "type": "short"},
    {"name": "release_date", "type": "datetime"}
  ],
  "values": [
    ["Peter F. Hamilton", "Vernor Vinge", "Frank Herbert", "Alastair Reynolds", "James S.A. Corey"],
    ["Pandora's Star", "A Fire Upon the Deep", "Dune", "Revelation Space", "Leviathan Wakes"],
    [768, 613, 604, 585, 561],
    ["2004-03-02T00:00:00.000Z", "1992-06-01T00:00:00.000Z", "1965-06-01T00:00:00.000Z", "2000-03-15T00:00:00.000Z", "2011-06-02T00:00:00.000Z"]
  ],
  "cursor": "sDXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAAEWWWdrRlVfSS1TbDYtcW9lc1FJNmlYdw==:BAFmBmF1dGhvcgFmBG5hbWUBZgpwYWdlX2NvdW50AWYMcmVsZWFzZV9kYXRl+v///w8="
}

Any subsequent calls using a cursor still have to contain the columnar parameter to preserve the orientation, meaning the initial query will not remember the columnar option.

JSON
POST /_sql?format=json
{
  "cursor": "sDXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAAEWWWdrRlVfSS1TbDYtcW9lc1FJNmlYdw==:BAFmBmF1dGhvcgFmBG5hbWUBZgpwYWdlX2NvdW50AWYMcmVsZWFzZV9kYXRl+v///w8=",
  "columnar": true
}

Which looks like:

JSON
{
  "values": [
    ["Dan Simmons", "Iain M. Banks", "Neal Stephenson", "Frank Herbert", "Frank Herbert"],
    ["Hyperion", "Consider Phlebas", "Snow Crash", "God Emperor of Dune", "Children of Dune"],
    [482, 471, 470, 454, 408],
    ["1989-05-26T00:00:00.000Z", "1987-04-23T00:00:00.000Z", "1992-06-01T00:00:00.000Z", "1981-05-28T00:00:00.000Z", "1976-04-21T00:00:00.000Z"]
  ],
  "cursor": "46ToAwFzQERYRjFaWEo1UVc1a1JtVjBZMmdCQUFBQUFBQUFBQUVXWjBaNlFXbzNOV0pVY21Wa1NUZDJhV2t3V2xwblp3PT3/////DwQBZgZhdXRob3IBBHRleHQAAAFmBG5hbWUBBHRleHQAAAFmCnBhZ2VfY291bnQBBGxvbmcBAAFmDHJlbGVhc2VfZGF0ZQEIZGF0ZXRpbWUBAAEP"
}