391 lines
9.9 KiB
Plaintext
391 lines
9.9 KiB
Plaintext
[[set-up-a-data-stream]]
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== Set up a data stream
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To set up a data stream, follow these steps:
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. Check the <<data-stream-prereqs, prerequisites>>.
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. <<configure-a-data-stream-ilm-policy>>.
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. <<create-a-data-stream-template>>.
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. <<create-a-data-stream>>.
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. <<get-info-about-a-data-stream>> to verify it exists.
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After you set up a data stream, you can <<use-a-data-stream, use the data
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stream>> for indexing, searches, and other supported operations.
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If you no longer need it, you can <<delete-a-data-stream,delete a data stream>>
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and its backing indices.
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[discrete]
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[[data-stream-prereqs]]
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=== Prerequisites
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* {es} data streams are intended for time-series data only. Each document
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indexed to a data stream must contain a shared timestamp field.
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+
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TIP: Data streams work well with most common log formats. While no schema is
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required to use data streams, we recommend the {ecs-ref}[Elastic Common Schema
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(ECS)].
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* Data streams are designed to be <<data-streams-append-only,append-only>>.
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While you can index new documents directly to a data stream, you cannot use a
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data stream to directly update or delete individual documents. To update or
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delete specific documents in a data stream, submit a <<docs-delete,delete>> or
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<<docs-update,update>> API request to the backing index containing the document.
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[discrete]
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[[configure-a-data-stream-ilm-policy]]
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=== Optional: Configure an {ilm-init} lifecycle policy for a data stream
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You can use <<index-lifecycle-management,{ilm} ({ilm-init})>> to automatically
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manage a data stream's backing indices. For example, you could use {ilm-init}
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to:
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* Spin up a new write index for the data stream when the current one reaches a
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certain size or age.
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* Move older backing indices to slower, less expensive hardware.
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* Delete stale backing indices to enforce data retention standards.
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To use {ilm-init} with a data stream, you must
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<<set-up-lifecycle-policy,configure a lifecycle policy>>. This lifecycle policy
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should contain the automated actions to take on backing indices and the
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triggers for such actions.
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TIP: While optional, we recommend using {ilm-init} to scale data streams in
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production.
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.*Example*
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[%collapsible]
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====
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The following <<ilm-put-lifecycle,create lifecycle policy API>> request
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configures the `logs_policy` lifecycle policy.
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The `logs_policy` policy uses the <<ilm-rollover,`rollover` action>> to create a
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new <<data-stream-write-index,write index>> for the data stream when the current
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one reaches 25GB in size. The policy also deletes backing indices 30 days after
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their rollover.
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[source,console]
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----
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PUT /_ilm/policy/logs_policy
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{
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"policy": {
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"phases": {
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"hot": {
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"actions": {
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"rollover": {
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"max_size": "25GB"
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}
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}
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},
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"delete": {
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"min_age": "30d",
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"actions": {
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"delete": {}
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}
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}
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}
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}
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}
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----
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====
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[discrete]
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[[create-a-data-stream-template]]
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=== Create a composable template for a data stream
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Each data stream requires a <<indices-templates,composable template>>. The data
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stream uses this template to create its backing indices.
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Composable templates for data streams must contain:
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* A name or wildcard (`*`) pattern for the data stream in the `index_patterns`
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property.
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+
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You can use the resolve index API to check if the name or pattern
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matches any existing indices, index aliases, or data streams. If so, you should
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consider using another name or pattern.
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+
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.*Example*
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[%collapsible]
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====
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The following resolve index API request checks for any existing indices, index
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aliases, or data streams that start with `logs`. If not, the `logs*`
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wildcard pattern can be used to create a new data stream.
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[source,console]
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----
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GET /_resolve/index/logs*
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----
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// TEST[continued]
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The API returns the following response, indicating no existing targets match
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this pattern.
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[source,console-result]
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----
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{
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"indices" : [ ],
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"aliases" : [ ],
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"data_streams" : [ ]
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}
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----
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====
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* A `data_stream` definition containing the `timestamp_field` property.
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This timestamp field must be included in every document indexed to the data
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stream.
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* A <<date,`date`>> or <<date_nanos,`date_nanos`>> field mapping for the
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timestamp field specified in the `timestamp_field` property.
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* If you intend to use {ilm-init}, you must specify the
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<<configure-a-data-stream-ilm-policy,lifecycle policy>> in the
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`index.lifecycle.name` setting.
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You can also specify other mappings and settings you'd like to apply to the
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stream's backing indices.
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TIP: We recommend you carefully consider which mappings and settings to include
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in this template before creating a data stream. Later changes to the mappings or
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settings of a stream's backing indices may require reindexing. See
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<<data-streams-change-mappings-and-settings>>.
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.*Example*
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[%collapsible]
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====
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The following <<indices-templates,put composable template API>> request
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configures the `logs_data_stream` template.
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[source,console]
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----
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PUT /_index_template/logs_data_stream
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{
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"index_patterns": [ "logs*" ],
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"data_stream": {
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"timestamp_field": "@timestamp"
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},
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"template": {
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"mappings": {
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"properties": {
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"@timestamp": {
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"type": "date"
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}
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}
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},
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"settings": {
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"index.lifecycle.name": "logs_policy"
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}
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}
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}
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----
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// TEST[continued]
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====
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[discrete]
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[[create-a-data-stream]]
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=== Create a data stream
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With a composable template, you can create a data stream using one of two
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methods:
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* Submit an <<add-documents-to-a-data-stream,indexing request>> to a target
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matching the name or wildcard pattern defined in the template's `index_patterns`
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property.
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+
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--
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If the indexing request's target doesn't exist, {es} creates the data stream and
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uses the target name as the name for the stream.
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NOTE: Data streams support only specific types of indexing requests. See
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<<add-documents-to-a-data-stream>>.
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[[index-documents-to-create-a-data-stream]]
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.*Example: Index documents to create a data stream*
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[%collapsible]
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====
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The following <<docs-index_,index API>> request targets `logs`, which matches
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the wildcard pattern for the `logs_data_stream` template. Because no existing
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index or data stream uses this name, this request creates the `logs` data stream
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and indexes the document to it.
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[source,console]
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----
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POST /logs/_doc/
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{
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"@timestamp": "2020-12-06T11:04:05.000Z",
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"user": {
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"id": "vlb44hny"
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},
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"message": "Login attempt failed"
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}
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----
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// TEST[continued]
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The API returns the following response. Note the `_index` property contains
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`.ds-logs-000001`, indicating the document was indexed to the write index of the
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new `logs` data stream.
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[source,console-result]
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----
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{
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"_index": ".ds-logs-000001",
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"_id": "qecQmXIBT4jB8tq1nG0j",
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"_type": "_doc",
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"_version": 1,
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"result": "created",
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"_shards": {
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"total": 2,
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"successful": 1,
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"failed": 0
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},
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"_seq_no": 0,
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"_primary_term": 1
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}
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----
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// TESTRESPONSE[s/"_id": "qecQmXIBT4jB8tq1nG0j"/"_id": $body._id/]
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====
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--
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* Use the <<indices-create-data-stream,create data stream API>> to manually
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create a data stream. The name of the data stream must match the
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name or wildcard pattern defined in the template's `index_patterns` property.
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+
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--
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.*Example: Manually create a data stream*
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[%collapsible]
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====
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The following <<indices-create-data-stream,create data stream API>> request
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targets `logs_alt`, which matches the wildcard pattern for the
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`logs_data_stream` template. Because no existing index or data stream uses this
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name, this request creates the `logs_alt` data stream.
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[source,console]
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----
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PUT /_data_stream/logs_alt
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----
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// TEST[continued]
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====
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--
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////
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[source,console]
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----
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DELETE /_data_stream/logs
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DELETE /_data_stream/logs_alt
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DELETE /_index_template/logs_data_stream
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DELETE /_ilm/policy/logs_policy
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----
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// TEST[continued]
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////
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[discrete]
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[[get-info-about-a-data-stream]]
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=== Get information about a data stream
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You can use the <<indices-get-data-stream,get data stream API>> to get
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information about one or more data streams, including:
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* The timestamp field
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* The current backing indices, which is returned as an array. The last item in
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the array contains information about the stream's current write index.
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* The current generation
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This is also handy way to verify that a recently created data stream exists.
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.*Example*
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[%collapsible]
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====
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The following get data stream API request retrieves information about any data
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streams starting with `logs`.
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[source,console]
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----
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GET /_data_stream/logs*
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----
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// TEST[skip: shard failures]
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The API returns the following response, which includes information about the
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`logs` data stream. Note the `indices` property contains an array of the
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stream's current backing indices. The last item in this array contains
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information for the `logs` stream's write index, `.ds-logs-000002`.
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[source,console-result]
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----
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[
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{
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"name": "logs",
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"timestamp_field": "@timestamp",
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"indices": [
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{
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"index_name": ".ds-logs-000001",
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"index_uuid": "DXAE-xcCQTKF93bMm9iawA"
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},
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{
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"index_name": ".ds-logs-000002",
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"index_uuid": "Wzxq0VhsQKyPxHhaK3WYAg"
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}
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],
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"generation": 2
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}
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]
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----
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// TESTRESPONSE[skip:unable to assert responses with top level array]
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====
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[discrete]
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[[delete-a-data-stream]]
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=== Delete a data stream
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You can use the <<indices-delete-data-stream,delete data stream API>> to delete
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a data stream and its backing indices.
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.*Example*
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[%collapsible]
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====
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The following delete data stream API request deletes the `logs` data stream. This
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request also deletes the stream's backing indices and any data they contain.
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////
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[source,console]
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----
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PUT /_index_template/logs_data_stream
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{
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"index_patterns": [ "logs*" ],
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"data_stream": {
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"timestamp_field": "@timestamp"
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},
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"template": {
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"mappings": {
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"properties": {
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"@timestamp": {
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"type": "date"
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}
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}
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}
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}
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}
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PUT /_data_stream/logs
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----
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////
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[source,console]
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----
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DELETE /_data_stream/logs
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----
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// TEST[continued]
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====
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////
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[source,console]
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----
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DELETE /_index_template/logs_data_stream
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----
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// TEST[continued]
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////
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