To help REST clients mitigate the impact of non-compatible (breaking) API changes, Elasticsearch provides a per-request, opt-in API compatibility mode.
Elasticsearch REST APIs are generally stable across versions. However, some improvements require changes that are not compatible with previous versions. For example, Elasticsearch 7.x supported custom mapping types in many URL paths, but Elasticsearch 8.0+ does not (see Removal of mapping types). Specifying a custom type in a request sent to Elasticsearch 8.0+ returns an error. However, if you request REST API compatibility, Elasticsearch accepts the request even though mapping types are no longer supported.
When an API is targeted for removal or is going to be changed in a non-compatible way, the original API is deprecated for one or more releases. Using the original API triggers a deprecation warning in the logs. This enables you to review the deprecation logs and take the appropriate actions before upgrading. However, in some cases it is difficult to identify all places where deprecated APIs are being used. This is where REST API compatibility can help.
When you request REST API compatibility, Elasticsearch attempts to honor the previous REST API version. Elasticsearch attempts to apply the most compatible URL, request body, response body, and HTTP parameters.
For compatible APIs, this has no effect—it only impacts calls to APIs that have breaking changes from the previous version. An error can still be returned in compatibility mode if Elasticsearch cannot automatically resolve the incompatibilities.
REST API compatibility does not guarantee the same behavior as the prior version. It instructs Elasticsearch to automatically resolve any incompatibilities so the request can be processed instead of returning an error.
REST API compatibility should be a bridge to smooth out the upgrade process, not a long term strategy. REST API compatibility is only honored across one major version: honor 7.x requests/responses from 8.x.
When you submit requests using REST API compatibility and Elasticsearch resolves the incompatibility, a message is written to the deprecation log with the category "compatible_api". Review the deprecation log to identify any gaps in usage and fully supported features.
For information about specific breaking changes and the impact of requesting compatibility mode, see REST API changes in the migration guide.
Requesting REST API compatibilityedit
REST API compatibility is implemented per request via the Accept and/or Content-Type headers.
Accept: "application/vnd.elasticsearch+json;compatible-with=7" Content-Type: "application/vnd.elasticsearch+json;compatible-with=7"
The Accept header is always required and the Content-Type header is only required when a body is sent with the request. The following values are valid when communicating with a 7.x or 8.x Elasticsearch server:
"application/vnd.elasticsearch+json;compatible-with=7" "application/vnd.elasticsearch+yaml;compatible-with=7" "application/vnd.elasticsearch+smile;compatible-with=7" "application/vnd.elasticsearch+cbor;compatible-with=7"
The officially supported Elasticsearch clients can enable REST API compatibility for all requests.
To enable REST API compatibility for all requests received
by Elasticsearch set the environment variable
ELASTIC_CLIENT_APIVERSIONING to true.
REST API compatibility workflowedit
To leverage REST API compatibility during an upgrade from 7.17 to 8.7.0:
- Upgrade your Elasticsearch clients to the latest 7.x version and enable REST API compatibility.
- Use the Upgrade Assistant to review all critical issues and explore the deprecation logs. Some critical issues might be mitigated by REST API compatibility.
- Resolve all critical issues before proceeding with the upgrade.
- Upgrade Elasticsearch to 8.7.0.
Review the deprecation logs for entries with the category
compatible_api. Review the workflow associated with the requests that relied on compatibility mode.
- Upgrade your Elasticsearch clients to 8.x and resolve compatibility issues manually where needed.
Intro to Kibana
ELK for Logs & Metrics