[role="xpack"]
[[use-a-data-stream]]
== Use a data stream

After you <<set-up-a-data-stream,set up a data stream>>, you can do
the following:

* <<add-documents-to-a-data-stream>>
* <<search-a-data-stream>>
* <<get-stats-for-a-data-stream>>
* <<manually-roll-over-a-data-stream>>
* <<open-closed-backing-indices>>
* <<reindex-with-a-data-stream>>
* <<update-docs-in-a-data-stream-by-query>>
* <<delete-docs-in-a-data-stream-by-query>>
* <<update-delete-docs-in-a-backing-index>>

////
[source,console]
----
PUT /_index_template/my-data-stream-template
{
  "index_patterns": [ "my-data-stream*" ],
  "data_stream": { }
}

PUT /_data_stream/my-data-stream

POST /my-data-stream/_rollover/

POST /my-data-stream/_rollover/

PUT /my-data-stream/_create/bfspvnIBr7VVZlfp2lqX?refresh=wait_for
{
  "@timestamp": "2020-12-07T11:06:07.000Z",
  "user": {
    "id": "yWIumJd7"
  },
  "message": "Login successful"
}

PUT /_data_stream/my-data-stream-alt
----
// TESTSETUP

[source,console]
----
DELETE /_data_stream/*

DELETE /_index_template/*
----
// TEARDOWN
////

[discrete]
[[add-documents-to-a-data-stream]]
=== Add documents to a data stream

You can add documents to a data stream using two types of indexing requests:

* <<data-streams-individual-indexing-requests>>
* <<data-streams-bulk-indexing-requests>>

Adding a document to a data stream adds the document to stream's current
<<data-stream-write-index,write index>>.

You cannot add new documents to a stream's other backing indices, even by
sending requests directly to the index. This means you cannot submit the
following requests directly to any backing index except the write index:

* An <<docs-index_,index API>> request with an
  <<docs-index-api-op_type,`op_type`>> of `create`. The `op_type` parameter
  defaults to `create` when adding new documents.
* A <<docs-bulk,bulk API>> request using a `create` action


[discrete]
[[data-streams-individual-indexing-requests]]
==== Individual indexing requests

You can use an <<docs-index_,index API>> request with an
<<docs-index-api-op_type,`op_type`>> of `create` to add individual documents
to a data stream.

NOTE: The `op_type` parameter defaults to `create` when adding new documents.

The following index API request adds a new document to `my-data-stream`.

[source,console]
----
POST /my-data-stream/_doc/
{
  "@timestamp": "2020-12-07T11:06:07.000Z",
  "user": {
    "id": "8a4f500d"
  },
  "message": "Login successful"
}
----

IMPORTANT: 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.


[discrete]
[[data-streams-bulk-indexing-requests]]
==== Bulk indexing requests

You can use the <<docs-bulk,bulk API>> to add multiple documents to a data
stream in a single request. Each action in the bulk request must use the
`create` action.

NOTE: Data streams do not support other bulk actions, such as `index`.

The following bulk API request adds several new documents to
`my-data-stream`. Only the `create` action is used.

[source,console]
----
PUT /my-data-stream/_bulk?refresh
{"create":{ }}
{ "@timestamp": "2020-12-08T11:04:05.000Z", "user": { "id": "vlb44hny" }, "message": "Login attempt failed" }
{"create":{ }}
{ "@timestamp": "2020-12-08T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" }
{"create":{ }}
{ "@timestamp": "2020-12-09T11:07:08.000Z", "user": { "id": "l7gk7f82" }, "message": "Logout successful" }
----

[discrete]
[[data-streams-index-with-an-ingest-pipeline]]
==== Index with an ingest pipeline

You can use an <<ingest,ingest pipeline>> with an indexing request to
pre-process data before it's indexed to a data stream.

The following <<put-pipeline-api,put pipeline API>> request creates the
`lowercase_message_field` ingest pipeline. The pipeline uses the
<<lowercase-processor,`lowercase` ingest processor>> to change the `message`
field value to lowercase before indexing.

[source,console]
----
PUT /_ingest/pipeline/lowercase_message_field
{
  "description" : "Lowercases the message field value",
  "processors" : [
    {
      "lowercase" : {
        "field" : "message"
      }
    }
  ]
}
----
// TEST[continued]

The following index API request adds a new document to `my-data-stream`.

The request includes a `?pipeline=lowercase_message_field` query parameter.
This parameter indicates {es} should use the `lowercase_message_field` pipeline
to pre-process the document before indexing it.

During pre-processing, the pipeline changes the letter case of the document's
`message` field value from `LOGIN Successful` to `login successful`.

[source,console]
----
POST /my-data-stream/_doc?pipeline=lowercase_message_field
{
  "@timestamp": "2020-12-08T11:12:01.000Z",
  "user": {
    "id": "I1YBEOxJ"
  },
  "message": "LOGIN Successful"
}
----
// TEST[continued]

////
[source,console]
----
DELETE /_ingest/pipeline/lowercase_message_field
----
// TEST[continued]
////


[discrete]
[[search-a-data-stream]]
=== Search a data stream

The following search APIs support data streams:

* <<search-search, Search>>
* <<async-search, Async search>>
* <<search-multi-search, Multi search>>
* <<search-field-caps, Field capabilities>>
* <<eql-search-api, EQL search>>

The following <<search-search,search API>> request searches `my-data-stream`
for documents with a timestamp between today and yesterday that also have
`message` value of `login successful`.

[source,console]
----
GET /my-data-stream/_search
{
  "query": {
    "bool": {
      "must": {
        "range": {
          "@timestamp": {
            "gte": "now-1d/d",
            "lt": "now/d"
          }
        }
      },
      "should": {
        "match": {
          "message": "login successful"
        }
      }
    }
  }
}
----

You can use a comma-separated list to search
multiple data streams, indices, and index aliases in the same request.

The following request searches `my-data-stream` and `my-data-stream-alt`,
which are specified as a comma-separated list in the request path.

[source,console]
----
GET /my-data-stream,my-data-stream-alt/_search
{
  "query": {
    "match": {
      "user.id": "8a4f500d"
    }
  }
}
----

Index patterns are also supported.

The following request uses the `my-data-stream*` index pattern to search any
data stream, index, or index alias beginning with `my-data-stream`.

[source,console]
----
GET /my-data-stream*/_search
{
  "query": {
    "match": {
      "user.id": "vlb44hny"
    }
  }
}
----

The following search request omits a target in the request path. The request
searches all data streams and indices in the cluster.

[source,console]
----
GET /_search
{
  "query": {
    "match": {
      "user.id": "l7gk7f82"
    }
  }
}
----

[discrete]
[[get-stats-for-a-data-stream]]
=== Get statistics for a data stream

You can use the <<data-stream-stats-api,data stream stats API>> to retrieve
statistics for one or more data streams. These statistics include:

* A count of the stream's backing indices
* The total store size of all shards for the stream's backing indices
* The highest `@timestamp` value for the stream

.*Example*
[%collapsible]
====
The following data stream stats API request retrieves statistics for
`my-data-stream`.

[source,console]
----
GET /_data_stream/my-data-stream/_stats?human=true
----

The API returns the following response.

[source,console-result]
----
{
  "_shards": {
    "total": 6,
    "successful": 3,
    "failed": 0
  },
  "data_stream_count": 1,
  "backing_indices": 3,
  "total_store_size": "624b",
  "total_store_size_bytes": 624,
  "data_streams": [
    {
      "data_stream": "my-data-stream",
      "backing_indices": 3,
      "store_size": "624b",
      "store_size_bytes": 624,
      "maximum_timestamp": 1607339167000
    }
  ]
}
----
// TESTRESPONSE[s/"total_store_size": "624b"/"total_store_size": $body.total_store_size/]
// TESTRESPONSE[s/"total_store_size_bytes": 624/"total_store_size_bytes": $body.total_store_size_bytes/]
// TESTRESPONSE[s/"store_size": "624b"/"store_size": $body.data_streams.0.store_size/]
// TESTRESPONSE[s/"store_size_bytes": 624/"store_size_bytes": $body.data_streams.0.store_size_bytes/]
====

[discrete]
[[manually-roll-over-a-data-stream]]
=== Manually roll over a data stream

A rollover creates a new backing index for a data stream. This new backing index
becomes the stream's <<data-stream-write-index,write index>> and increments
the stream's <<data-streams-generation,generation>>.

In most cases, we recommend using <<index-lifecycle-management,{ilm-init}>> to
automate rollovers for data streams. This lets you automatically roll over the
current write index when it meets specified criteria, such as a maximum age or
size.

However, you can also use the <<indices-rollover-index,rollover API>> to
manually perform a rollover. This can be useful if you want to
<<data-streams-change-mappings-and-settings,apply mapping or setting changes>>
to the stream's write index after updating a data stream's template.

The following <<indices-rollover-index,rollover API>> request submits a manual
rollover request for `my-data-stream`.

[source,console]
----
POST /my-data-stream/_rollover/
----

[discrete]
[[open-closed-backing-indices]]
=== Open closed backing indices

You may <<indices-close,close>> one or more of a data stream's backing indices
as part of its {ilm-init} lifecycle or another workflow. A closed backing index
cannot be searched, even for searches targeting its data stream. You also can't
<<update-docs-in-a-data-stream-by-query,update>> or
<<delete-docs-in-a-data-stream-by-query,delete>> documents in a closed index.

You can re-open individual backing indices by sending an
<<indices-open-close,open request>> directly to the index.

You also can conveniently re-open all closed backing indices for a data stream
by sending an open request directly to the stream.

The following <<cat-indices,cat indices>> API request retrieves the status for
`my-data-stream`'s backing indices.

////
[source,console]
----
POST /.ds-my-data-stream-000001,.ds-my-data-stream-000002/_close/
----
////

[source,console]
----
GET /_cat/indices/my-data-stream?v&s=index&h=index,status
----
// TEST[continued]

The API returns the following response. The response indicates
`my-data-stream` contains two closed backing indices:
`.ds-my-data-stream-000001` and `.ds-my-data-stream-000002`.

[source,txt]
----
index                     status
.ds-my-data-stream-000001 close
.ds-my-data-stream-000002 close
.ds-my-data-stream-000003 open
----
// TESTRESPONSE[non_json]

The following <<indices-open-close,open API>> request re-opens any closed
backing indices for `my-data-stream`, including
`.ds-my-data-stream-000001` and `.ds-my-data-stream-000002`.

[source,console]
----
POST /my-data-stream/_open/
----
// TEST[continued]

You can resubmit the original cat indices API request to verify
`.ds-my-data-stream-000001` and `.ds-my-data-stream-000002` were re-opened.

[source,console]
----
GET /_cat/indices/my-data-stream?v&s=index&h=index,status
----
// TEST[continued]

The API returns the following response.

[source,txt]
----
index                     status
.ds-my-data-stream-000001 open
.ds-my-data-stream-000002 open
.ds-my-data-stream-000003 open
----
// TESTRESPONSE[non_json]

[discrete]
[[reindex-with-a-data-stream]]
=== Reindex with a data stream

You can use the <<docs-reindex,reindex API>> to copy documents to a data stream
from an existing index, index alias, or data stream.

A reindex copies documents from a _source_ to a _destination_. The source and
destination can be any pre-existing index, index alias, or data stream. However,
the source and destination must be different. You cannot reindex a data stream
into itself.

Because data streams are <<data-streams-append-only,append-only>>, a reindex
request to a data stream destination must have an `op_type` of `create`. This
means a reindex can only add new documents to a data stream. It cannot update
existing documents in the data stream destination.

A reindex can be used to:

* Convert an existing index alias and collection of time-based indices into a
  data stream.

* Apply a new or updated <<create-a-data-stream-template,index template>>
  by reindexing an existing data stream into a new one. This applies mapping
  and setting changes in the template to each document and backing index of the
  data stream destination. See
  <<data-streams-use-reindex-to-change-mappings-settings>>.

TIP: If you only want to update the mappings or settings of a data stream's
write index, we recommend you update the <<create-a-data-stream-template,data
stream's template>> and perform a <<manually-roll-over-a-data-stream,rollover>>.

The following reindex request copies documents from the `archive` index alias to
`my-data-stream`. Because the destination is a data
stream, the request's `op_type` is `create`.

////
[source,console]
----
PUT /_bulk?refresh=wait_for
{"create":{"_index" : "archive_1"}}
{ "@timestamp": "2020-12-08T11:04:05.000Z" }
{"create":{"_index" : "archive_2"}}
{ "@timestamp": "2020-12-08T11:06:07.000Z" }
{"create":{"_index" : "archive_2"}}
{ "@timestamp": "2020-12-09T11:07:08.000Z" }
{"create":{"_index" : "archive_2"}}
{ "@timestamp": "2020-12-09T11:07:08.000Z" }

POST /_aliases
{
  "actions" : [
    { "add" : { "index" : "archive_1", "alias" : "archive" } },
    { "add" : { "index" : "archive_2", "alias" : "archive", "is_write_index" : true} }
  ]
}
----
////

[source,console]
----
POST /_reindex
{
  "source": {
    "index": "archive"
  },
  "dest": {
    "index": "my-data-stream",
    "op_type": "create"
  }
}
----
// TEST[continued]

You can also reindex documents from a data stream to an index, index
alias, or data stream.

The following reindex request copies documents from `my-data-stream`
to the existing `archive` index alias. Because the destination is not a
data stream, the `op_type` does not need to be specified.

[source,console]
----
POST /_reindex
{
  "source": {
    "index": "my-data-stream"
  },
  "dest": {
    "index": "archive"
  }
}
----
// TEST[continued]

[discrete]
[[update-docs-in-a-data-stream-by-query]]
=== Update documents in a data stream by query

You cannot send indexing or update requests for existing documents directly to a
data stream. These prohibited requests include:

* An <<docs-index_,index API>> request with an
  <<docs-index-api-op_type,`op_type`>> of `index`. The `op_type` parameter
  defaults to `index` for existing documents.

* A <<docs-bulk,bulk API>> request using the `index`  or `update`
  action.

Instead, you can use the <<docs-update-by-query,update by query API>> to update
documents in a data stream that matches a provided query.

The following update by query request updates documents in `my-data-stream`
with a `user.id` of `l7gk7f82`. The request uses a
<<modules-scripting-using,script>> to assign matching documents a new `user.id`
value of `XgdX0NoX`.

[source,console]
----
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"
    }
  }
}
----

[discrete]
[[delete-docs-in-a-data-stream-by-query]]
=== Delete documents in a data stream by query

You cannot send document deletion requests directly to a data stream. These
prohibited requests include:

* A <<docs-delete,delete API>> request

* A <<docs-bulk,bulk API>> request using the `delete` action.

Instead, you can use the <<docs-delete-by-query,delete by query API>> to delete
documents in a data stream that matches a provided query.

The following delete by query request deletes documents in `my-data-stream`
with a `user.id` of `vlb44hny`.

[source,console]
----
POST /my-data-stream/_delete_by_query
{
  "query": {
    "match": {
      "user.id": "vlb44hny"
    }
  }
}
----

[discrete]
[[update-delete-docs-in-a-backing-index]]
=== Update or delete documents in a backing index

Alternatively, you can update or delete documents in a data stream by sending
the update or deletion request to the backing index containing the document. To
do this, you first need to get:

* The <<mapping-id-field,document ID>>
* The name of the backing index that contains the document

If you want to update a document, you must also get its current
<<optimistic-concurrency-control,sequence number and primary term>>.

You can use a <<search-a-data-stream,search request>> to retrieve this
information.

The following search request retrieves documents in `my-data-stream`
with a `user.id` of `yWIumJd7`. By default, this search returns the
document ID and backing index for any matching documents.

The request includes a `"seq_no_primary_term": true` argument. This means the
search also returns the sequence number and primary term for any matching
documents.

[source,console]
----
GET /my-data-stream/_search
{
  "seq_no_primary_term": true,
  "query": {
    "match": {
      "user.id": "yWIumJd7"
    }
  }
}
----

The API returns the following response. The `hits.hits` property contains
information for any documents matching the search.

[source,console-result]
----
{
  "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-000003",      <1>
        "_type": "_doc",
        "_id": "bfspvnIBr7VVZlfp2lqX",              <2>
        "_seq_no": 0,                               <3>
        "_primary_term": 1,                         <4>
        "_score": 0.2876821,
        "_source": {
          "@timestamp": "2020-12-07T11:06:07.000Z",
          "user": {
            "id": "yWIumJd7"
          },
          "message": "Login successful"
        }
      }
    ]
  }
}
----
// TESTRESPONSE[s/"took": 20/"took": $body.took/]
// TESTRESPONSE[s/"max_score": 0.2876821/"max_score": $body.hits.max_score/]
// TESTRESPONSE[s/"_score": 0.2876821/"_score": $body.hits.hits.0._score/]

<1> Backing index containing the matching document
<2> Document ID for the document
<3> Current sequence number for the document
<4> Primary term for the document

You can use an <<docs-index_,index API>> request to update an individual
document. To prevent an accidental overwrite, this request must include valid
`if_seq_no` and `if_primary_term` arguments.

The following index API request updates an existing document in
`my-data-stream`. The request targets document ID
`bfspvnIBr7VVZlfp2lqX` in the `.ds-my-data-stream-000003` backing index.

The request also includes the current sequence number and primary term in the
respective `if_seq_no` and `if_primary_term` query parameters. The request body
contains a new JSON source for the document.

[source,console]
----
PUT /.ds-my-data-stream-000003/_doc/bfspvnIBr7VVZlfp2lqX?if_seq_no=0&if_primary_term=1
{
  "@timestamp": "2020-12-07T11:06:07.000Z",
  "user": {
    "id": "8a4f500d"
  },
  "message": "Login successful"
}
----

You use the <<docs-delete,delete API>> to delete individual documents. Deletion
requests do not require a sequence number or primary term.

The following index API request deletes an existing document in
`my-data-stream`. The request targets document ID
`bfspvnIBr7VVZlfp2lqX` in the `.ds-my-data-stream-000003` backing index.

[source,console]
----
DELETE /.ds-my-data-stream-000003/_doc/bfspvnIBr7VVZlfp2lqX
----

You can use the <<docs-bulk,bulk API>> to delete or update multiple documents in
one request using `delete`, `index`, or `update` actions.

If the action type is `index`, the action must include valid
<<bulk-optimistic-concurrency-control,`if_seq_no` and `if_primary_term`>>
arguments.

The following bulk API request uses an `index` action to update an existing
document in `my-data-stream`.

The `index` action targets document ID `bfspvnIBr7VVZlfp2lqX` in the
`.ds-my-data-stream-000003` backing index. The action also includes the current
sequence number and primary term in the respective `if_seq_no` and
`if_primary_term` parameters.

[source,console]
----
PUT /_bulk?refresh
{ "index": { "_index": ".ds-my-data-stream-000003", "_id": "bfspvnIBr7VVZlfp2lqX", "if_seq_no": 0, "if_primary_term": 1 } }
{ "@timestamp": "2020-12-07T11:06:07.000Z", "user": { "id": "8a4f500d" }, "message": "Login successful" }
----