OpenSearch/docs/reference/data-streams/set-up-a-data-stream.asciidoc

358 lines
10 KiB
Plaintext
Raw Normal View History

[role="xpack"]
[[set-up-a-data-stream]]
== Set up a data stream
To set up a data stream, follow these steps:
. Check the <<data-stream-prereqs, prerequisites>>.
. <<configure-a-data-stream-ilm-policy>>.
. <<create-a-data-stream-template>>.
. <<create-a-data-stream>>.
2020-06-15 09:48:58 -04:00
. <<get-info-about-a-data-stream>> to verify it exists.
. <<secure-a-data-stream>>.
After you set up a data stream, you can <<use-a-data-stream, use the data
stream>> for indexing, searches, and other supported operations.
If you no longer need it, you can <<delete-a-data-stream,delete a data stream>>
and its backing indices.
[discrete]
[[data-stream-prereqs]]
=== Prerequisites
* {es} data streams are intended for time-series data only. Each document
indexed to a data stream must contain a shared timestamp field.
+
TIP: Data streams work well with most common log formats. While no schema is
required to use data streams, we recommend the {ecs-ref}[Elastic Common Schema
(ECS)].
* Data streams are best suited for time-based,
<<data-streams-append-only,append-only>> use cases. If you frequently need to
update or delete existing documents, we recommend using an index alias and an
index template instead.
[discrete]
[[configure-a-data-stream-ilm-policy]]
=== Optional: Configure an {ilm-init} lifecycle policy for a data stream
You can use <<index-lifecycle-management,{ilm} ({ilm-init})>> to automatically
manage a data stream's backing indices. For example, you could use {ilm-init}
to:
* Spin up a new write index for the data stream when the current one reaches a
certain size or age.
* Move older backing indices to slower, less expensive hardware.
* Delete stale backing indices to enforce data retention standards.
To use {ilm-init} with a data stream, you must
<<set-up-lifecycle-policy,configure a lifecycle policy>>. This lifecycle policy
should contain the automated actions to take on backing indices and the
triggers for such actions.
TIP: While optional, we recommend using {ilm-init} to manage the backing indices
associated with a data stream.
The following <<ilm-put-lifecycle,create lifecycle policy API>> request
configures the `logs_policy` lifecycle policy.
The `logs_policy` policy uses the <<ilm-rollover,`rollover` action>> to create a
new <<data-stream-write-index,write index>> for the data stream when the current
one reaches 25GB in size. The policy also deletes backing indices 30 days after
their rollover.
[source,console]
----
PUT /_ilm/policy/logs_policy
{
"policy": {
"phases": {
"hot": {
"actions": {
"rollover": {
"max_size": "25GB"
}
}
},
"delete": {
"min_age": "30d",
"actions": {
"delete": {}
}
}
}
}
}
----
[discrete]
[[create-a-data-stream-template]]
=== Create an index template for a data stream
A data stream uses an index template to configure its backing indices. A
template for a data stream must specify:
* An index pattern that matches the name of the stream.
* An empty `data_stream` object that indicates the template is used for data
streams.
* The mappings and settings for the stream's backing indices.
Every document indexed to a data stream must have a `@timestamp` field. This
field can be mapped as a <<date,`date`>> or <<date_nanos,`date_nanos`>> field
data type by the stream's index template. This mapping can include other
<<mapping-params,mapping parameters>>, such as <<mapping-date-format,`format`>>.
If the template does not specify a mapping is specified in the template, the
`@timestamp` field is mapped as a `date` field with default options.
We recommend using {ilm-init} to manage a data stream's backing indices. Specify
the name of the lifecycle policy with the `index.lifecycle.name` setting.
TIP: We recommend you carefully consider which mappings and settings to include
in this template before creating a data stream. Later changes to the mappings or
settings of a stream's backing indices may require reindexing. See
<<data-streams-change-mappings-and-settings>>.
The following <<indices-templates,put index template API>> request
configures the `logs_data_stream` template.
Because no field mapping is specified, the `@timestamp` field uses the `date`
field data type by default.
[source,console]
----
PUT /_index_template/logs_data_stream
{
"index_patterns": [ "logs*" ],
"data_stream": { },
"template": {
"settings": {
"index.lifecycle.name": "logs_policy"
}
}
}
----
// TEST[continued]
Alternatively, the following template maps `@timestamp` as a `date_nanos` field.
[source,console]
----
PUT /_index_template/logs_data_stream
{
"index_patterns": [ "logs*" ],
"data_stream": { },
"template": {
"mappings": {
"properties": {
"@timestamp": { "type": "date_nanos" } <1>
}
},
"settings": {
"index.lifecycle.name": "logs_policy"
}
}
}
----
// TEST[continued]
<1> Maps `@timestamp` as a `date_nanos` field. You can include other supported
mapping parameters in this field mapping.
NOTE: You cannot delete an index template that's in use by a data stream.
This would prevent the data stream from creating new backing indices.
[discrete]
[[create-a-data-stream]]
=== Create a data stream
You can create a data stream using one of two methods:
* <<index-documents-to-create-a-data-stream>>
* <<manually-create-a-data-stream>>
[discrete]
[[index-documents-to-create-a-data-stream]]
==== Index documents to create a data stream
You can automatically generate a data stream using an indexing request. Submit
an <<add-documents-to-a-data-stream,indexing request>> to a target
matching the name or wildcard pattern defined in the template's `index_patterns`
property.
If the indexing request's target doesn't exist, {es} creates the data stream and
uses the target name as the name for the stream.
NOTE: Data streams support only specific types of indexing requests. See
<<add-documents-to-a-data-stream>>.
The following <<docs-index_,index API>> request targets `logs`, which matches
the wildcard pattern for the `logs_data_stream` template. Because no existing
index or data stream uses this name, this request creates the `logs` data stream
and indexes the document to it.
[source,console]
----
POST /logs/_doc/
{
"@timestamp": "2020-12-06T11:04:05.000Z",
"user": {
"id": "vlb44hny"
},
"message": "Login attempt failed"
}
----
// TEST[continued]
The API returns the following response. Note the `_index` property contains
`.ds-logs-000001`, indicating the document was indexed to the write index of the
new `logs` data stream.
[source,console-result]
----
{
"_index": ".ds-logs-000001",
"_id": "qecQmXIBT4jB8tq1nG0j",
"_type": "_doc",
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1
}
----
// TESTRESPONSE[s/"_id": "qecQmXIBT4jB8tq1nG0j"/"_id": $body._id/]
[discrete]
[[manually-create-a-data-stream]]
==== Manually create a data stream
You can use the <<indices-create-data-stream,create data stream API>> to
manually create a data stream. The name of the data stream must match the name
or wildcard pattern defined in the template's `index_patterns` property.
The following create data stream request
targets `logs_alt`, which matches the wildcard pattern for the
`logs_data_stream` template. Because no existing index or data stream uses this
name, this request creates the `logs_alt` data stream.
[source,console]
----
PUT /_data_stream/logs_alt
----
// TEST[continued]
[discrete]
[[get-info-about-a-data-stream]]
=== Get information about a data stream
You can use the <<indices-get-data-stream,get data stream API>> to get
information about one or more data streams, including:
* The timestamp field
* The current backing indices, which is returned as an array. The last item in
the array contains information about the stream's current write index.
* The current generation
* The data stream's health status
* The index template used to create the stream's backing indices
* The current {ilm-init} lifecycle policy in the stream's matching index
template
This is also handy way to verify that a recently created data stream exists.
The following get data stream API request retrieves information about the
`logs` data stream.
////
[source,console]
----
POST /logs/_rollover/
----
// TEST[continued]
////
[source,console]
----
GET /_data_stream/logs
----
// TEST[continued]
The API returns the following response. Note the `indices` property contains an
array of the stream's current backing indices. The last item in this array
contains information about the stream's write index, `.ds-logs-000002`.
[source,console-result]
----
{
"data_streams": [
{
"name": "logs",
"timestamp_field": {
"name": "@timestamp"
},
"indices": [
{
"index_name": ".ds-logs-000001",
"index_uuid": "krR78LfvTOe6gr5dj2_1xQ"
},
{
"index_name": ".ds-logs-000002", <1>
"index_uuid": "C6LWyNJHQWmA08aQGvqRkA"
}
],
"generation": 2,
"status": "GREEN",
"template": "logs_data_stream",
"ilm_policy": "logs_policy"
}
]
}
----
// TESTRESPONSE[s/"index_uuid": "krR78LfvTOe6gr5dj2_1xQ"/"index_uuid": $body.data_streams.0.indices.0.index_uuid/]
// TESTRESPONSE[s/"index_uuid": "C6LWyNJHQWmA08aQGvqRkA"/"index_uuid": $body.data_streams.0.indices.1.index_uuid/]
// TESTRESPONSE[s/"status": "GREEN"/"status": "YELLOW"/]
<1> Last item in the `indices` array for the `logs` data stream. This item
contains information about the stream's current write index, `.ds-logs-000002`.
[discrete]
[[secure-a-data-stream]]
=== Secure a data stream
You can use {es} {security-features} to control access to a data stream and its
data. See <<data-stream-privileges>>.
[discrete]
[[delete-a-data-stream]]
=== Delete a data stream
You can use the <<indices-delete-data-stream,delete data stream API>> to delete
a data stream and its backing indices.
The following delete data stream API request deletes the `logs` data stream. This
request also deletes the stream's backing indices and any data they contain.
[source,console]
----
DELETE /_data_stream/logs
----
// TEST[continued]
////
[source,console]
----
DELETE /_data_stream/*
DELETE /_index_template/*
DELETE /_ilm/policy/logs_policy
----
// TEST[continued]
////