Use a data stream
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability 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.
Serverless
Generally available
Stack
Generally available
After you set up a data stream, you can do the following:
- Add documents to a data stream
- Search a data stream
- Get statistics for a data stream
- Manually roll over a data stream
- Open closed backing indices
- Reindex with a data stream
- Update documents in a data stream by query
- Delete documents in a data stream by query
- Update or delete documents in a backing index
To add an individual document, use the index API. Ingest pipelines are supported.
POST /my-data-stream/_doc/{ "@timestamp": "2099-03-08T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" }
You cannot add new documents to a data stream using the index API’s PUT /<target>/_doc/<_id> request format. To specify a document ID, use the PUT /<target>/_create/<_id> format instead. Only an op_type of create is supported.
To add multiple documents with a single request, use the bulk API. Only create actions are supported.
PUT /my-data-stream/_bulk?refresh{"create":{ }} { "@timestamp": "2099-03-08T11:04:05.000Z", "user": { "id": "vlb44hny" }, "message": "Login attempt failed" } {"create":{ }} { "@timestamp": "2099-03-08T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" } {"create":{ }} { "@timestamp": "2099-03-09T11:07:08.000Z", "user": { "id": "l7gk7f82" }, "message": "Logout successful" }
The following search APIs support data streams:
Use the data stream stats API to get statistics for one or more data streams:
GET /_data_stream/my-data-stream/_stats?human=true
Use the rollover API to manually roll over a data stream. You have two options when manually rolling over:
To immediately trigger a rollover:
JSON POST /my-data-stream/_rollover/Or to postpone the rollover until the next indexing event occurs:
JSON POST /my-data-stream/_rollover?lazyUse the second to avoid having empty backing indices in data streams that do not get updated often.
You cannot search a closed backing index, even by searching its data stream. You also cannot update or delete documents in a closed index.
To re-open a closed backing index, submit an open index API request directly to the index:
POST /.ds-my-data-stream-2099.03.07-000001/_open/
To re-open all closed backing indices for a data stream, submit an open index API request to the stream:
POST /my-data-stream/_open/
Use the reindex API to copy documents from an existing index, alias, or data stream to a data stream. Because data streams are append-only, a reindex into a data stream must use an op_type of create. A reindex cannot update existing documents in a data stream.
POST /_reindex{ "source": { "index": "archive" }, "dest": { "index": "my-data-stream", "op_type": "create" } }
Use the update by query API to update documents in a data stream that match a provided query:
POST /my-data-stream/_update_by_query{ "query": { "match": { "user.id": "l7gk7f82" } }, "script": { "source": "ctx._source.user.id = params.new_id", "params": { "new_id": "XgdX0NoX" } } }
Use the delete by query API to delete documents in a data stream that match a provided query:
POST /my-data-stream/_delete_by_query{ "query": { "match": { "user.id": "vlb44hny" } } }
If needed, you can update or delete documents in a data stream by sending requests to the backing index containing the document. You’ll need:
- The document ID
- The name of the backing index containing the document
- If updating the document, its sequence number and primary term
To get this information, use a search request:
GET /my-data-stream/_search{ "seq_no_primary_term": true, "query": { "match": { "user.id": "yWIumJd7" } } }
Response:
{
"took": 20,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.2876821,
"hits": [
{
"_index": ".ds-my-data-stream-2099.03.08-000003",
"_id": "bfspvnIBr7VVZlfp2lqX",
"_seq_no": 0,
"_primary_term": 1,
"_score": 0.2876821,
"_source": {
"@timestamp": "2099-03-08T11:06:07.000Z",
"user": {
"id": "yWIumJd7"
},
"message": "Login successful"
}
}
]
}
}
- Backing index containing the matching document
- Document ID for the document
- Current sequence number for the document
- Primary term for the document
To update the document, use an index API request with valid if_seq_no and if_primary_term arguments:
PUT /.ds-my-data-stream-2099-03-08-000003/_doc/bfspvnIBr7VVZlfp2lqX?if_seq_no=0&if_primary_term=1{ "@timestamp": "2099-03-08T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" }
To delete the document, use the delete API:
DELETE /.ds-my-data-stream-2099.03.08-000003/_doc/bfspvnIBr7VVZlfp2lqX
To delete or update multiple documents with a single request, use the bulk API's delete, index, and update actions. For index actions, include valid if_seq_no and if_primary_term arguments.
PUT /_bulk?refresh{ "index": { "_index": ".ds-my-data-stream-2099.03.08-000003", "_id": "bfspvnIBr7VVZlfp2lqX", "if_seq_no": 0, "if_primary_term": 1 } } { "@timestamp": "2099-03-08T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" }