本地英文版地址: ../en/update-transform.html
Update transform APIedit
Updates certain properties of a transform.
Requestedit
POST _transform/<transform_id>/_update
Prerequisitesedit
If the Elasticsearch security features are enabled, you must have the following built-in roles and privileges:
-
transform_admin -
manage_transform(the built-intransform_adminrole has this privilege) -
source index:
read,view_index_metadata -
destination index:
read,create_index,index
For more information, see Security privileges and Built-in roles.
Descriptionedit
This API updates an existing transform. The list of properties that you can update is a subset of the list that you can define when you create a transform.
When the transform is updated, a series of validations occur to ensure its
success. You can use the defer_validation parameter to skip these checks.
All updated properties except description do not take effect until after the transform starts the next checkpoint. This is so there is consistency with the pivoted data in each checkpoint.
- When Elasticsearch security features are enabled, your transform remembers which roles the user who updated it had at the time of update and runs with those privileges.
-
You must use Kibana or this API to update a transform. Do not update a
transform directly via
.transform-internal*indices using the Elasticsearch index API. If Elasticsearch security features are enabled, do not give users any privileges on.transform-internal*indices. If you used transforms prior 7.5, also do not give users any privileges on.data-frame-internal*indices.
Path parametersedit
-
<transform_id> - (Required, string) Identifier for the transform. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.
Query parametersedit
-
defer_validation -
(Optional, boolean) When
true, deferrable validations are not run. This behavior may be desired if the source index does not exist until after the transform is updated.
Request bodyedit
-
description - (Optional, string) Free text description of the transform.
-
dest -
(Optional, object) The destination for the transform.
Properties of
dest-
index - (Required, string) The destination index for the transform.
-
pipeline - (Optional, string) The unique identifier for a pipeline.
-
-
frequency -
(Optional, time units)
The interval between checks for changes in the source indices when the
transform is running continuously. Also determines the retry interval in the
event of transient failures while the transform is searching or indexing. The
minimum value is
1sand the maximum is1h. The default value is1m.
-
source -
(Optional, object) The source of the data for the transform.
Properties of
source-
index -
(Required, string or array)
The source indices for the transform. It can be a single index, an index
pattern (for example,
"myindex*"), an array of indices (for example,["index1", "index2"]), or an array of index patterns (for example,["myindex1-*", "myindex2-*"]. -
query - (Optional, object) A query clause that retrieves a subset of data from the source index. See Query DSL.
-
-
sync -
(Optional, object) Defines the properties transforms require to run continuously.
Properties of
sync-
time -
(Required, object) Specifies that the transform uses a time field to synchronize the source and destination indices.
Properties of
time-
delay -
(Optional, time units)
The time delay between the current time and the latest input data time. The
default value is
60s. -
field -
(Required, string) The date field that is used to identify new documents in the source.
In general, it’s a good idea to use a field that contains the ingest timestamp. If you use a different field, you might need to set the
delaysuch that it accounts for data transmission delays.
-
-
Examplesedit
POST _transform/simple-kibana-ecomm-pivot/_update
{
"source": {
"index": "kibana_sample_data_ecommerce",
"query": {
"term": {
"geoip.continent_name": {
"value": "Asia"
}
}
}
},
"description": "Maximum priced ecommerce data by customer_id in Asia",
"dest": {
"index": "kibana_sample_data_ecommerce_transform_v2",
"pipeline": "add_timestamp_pipeline"
},
"frequency": "15m",
"sync": {
"time": {
"field": "order_date",
"delay": "120s"
}
}
}
When the transform is updated, you receive the updated configuration:
{
"id": "simple-kibana-ecomm-pivot",
"source": {
"index": ["kibana_sample_data_ecommerce"],
"query": {
"term": {
"geoip.continent_name": {
"value": "Asia"
}
}
}
},
"pivot": {
"group_by": {
"customer_id": {
"terms": {
"field": "customer_id"
}
}
},
"aggregations": {
"max_price": {
"max": {
"field": "taxful_total_price"
}
}
}
},
"description": "Maximum priced ecommerce data by customer_id in Asia",
"dest": {
"index": "kibana_sample_data_ecommerce_transform_v2",
"pipeline": "add_timestamp_pipeline"
},
"frequency": "15m",
"sync": {
"time": {
"field": "order_date",
"delay": "120s"
}
},
"version": "7.5.0",
"create_time": 1518808660505
}