- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
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- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Full-cluster restart and rolling restart
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- Aggregations
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- Avg Aggregation
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- Cardinality Aggregation
- Extended Stats Aggregation
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- Diversified Sampler Aggregation
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- Subtleties of bucketing range fields
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- Extended Stats Bucket Aggregation
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- Moving Average Aggregation
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- Bucket Script Aggregation
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- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
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- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
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- Path Hierarchy Tokenizer Examples
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- Modules
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- Pipeline Definition
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- Processors
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- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- Getting started with snapshot lifecycle management
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- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Secure a cluster
- Overview
- Configuring security
- User authentication
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- Active Directory user authentication
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- Integrating with other authentication systems
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- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
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- Granting privileges for indices and aliases
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- Submitting requests on behalf of other users
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- Customizing roles and authorization
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- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
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- Transform APIs
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- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Delete rollup jobs API
editDelete rollup jobs API
editDeletes an existing rollup job.
This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
Request
editDELETE _rollup/job/<job_id>
Prerequisites
edit-
If the Elasticsearch security features are enabled, you must have
manage
ormanage_rollup
cluster privileges to use this API. For more information, see Security privileges.
Description
editA job must be stopped first before it can be deleted. If you attempt to delete a started job, an error occurs. Similarly, if you attempt to delete a nonexistent job, an exception occurs.
When a job is deleted, that only removes the process that is actively monitoring and rolling up data. It does not delete any previously rolled up data. This is by design; a user may wish to roll up a static dataset. Because the dataset is static, once it has been fully rolled up there is no need to keep the indexing rollup job around (as there will be no new data). So the job can be deleted, leaving behind the rolled up data for analysis.
If you wish to also remove the rollup data, and the rollup index only contains the data for a single job, you can simply delete the whole rollup index. If the rollup index stores data from several jobs, you must issue a delete-by-query that targets the rollup job’s ID in the rollup index.
POST my_rollup_index/_delete_by_query { "query": { "term": { "_rollup.id": "the_rollup_job_id" } } }
Path parameters
edit-
<job_id>
- (Required, string) Identifier for the job.
Response codes
edit-
404
(Missing resources) - This code indicates that there are no resources that match the request. It occurs if you try to delete a job that doesn’t exist.
Example
editIf we have a rollup job named sensor
, it can be deleted with:
DELETE _rollup/job/sensor
Which will return the response:
{ "acknowledged": true }