- Java REST Client (deprecated): other versions:
- Overview
- Java Low Level REST Client
- Java High Level REST Client
- Getting started
- Document APIs
- Search APIs
- Async Search APIs
- Miscellaneous APIs
- Index APIs
- Analyze API
- Create Index API
- Delete Index API
- Index Exists API
- Open Index API
- Close Index API
- Shrink Index API
- Split Index API
- Clone Index API
- Refresh API
- Flush API
- Flush Synced API
- Clear Cache API
- Force Merge API
- Rollover Index API
- Update mapping API
- Get Mappings API
- Get Field Mappings API
- Index Aliases API
- Delete Alias API
- Exists Alias API
- Get Alias API
- Update Indices Settings API
- Get Settings API
- Create or update index template API
- Validate Query API
- Get Templates API
- Templates Exist API
- Get Index API
- Freeze Index API
- Unfreeze Index API
- Delete Template API
- Reload Search Analyzers API
- Get Composable Index Templates API
- Create or update composable index template API
- Delete Composable Index Template API
- Optional arguments
- Simulate Index Template API
- Cluster APIs
- Ingest APIs
- Snapshot APIs
- Tasks APIs
- Script APIs
- Licensing APIs
- Machine Learning APIs
- Close anomaly detection jobs API
- Delete anomaly detection jobs API
- Delete anomaly detection jobs from calendar API
- Delete calendar events API
- Delete calendars API
- Delete data frame analytics jobs API
- Delete datafeeds API
- Delete expired data API
- Delete filters API
- Delete forecasts API
- Delete model snapshots API
- Delete trained models API
- Delete trained model alias API
- Estimate anomaly detection job model memory API
- Evaluate data frame analytics API
- Explain data frame analytics API
- Flush jobs API
- Forecast jobs API
- Get anomaly detection jobs API
- Get anomaly detection job stats API
- Get buckets API
- Get calendar events API
- Get calendars API
- Get categories API
- Get data frame analytics jobs API
- Get data frame analytics jobs stats API
- Get datafeeds API
- Get datafeed stats API
- Get filters API
- Get influencers API
- Get machine learning info API
- Get model snapshots API
- Get overall buckets API
- Get records API
- Get trained models API
- Get trained models stats API
- Open anomaly detection jobs API
- Post calendar events API
- Post data API
- Preview datafeeds API
- Create anomaly detection jobs API
- Add anomaly detection jobs to calendar API
- Create calendars API
- Create data frame analytics jobs API
- Create datafeeds API
- Create filters API
- Create trained models API
- Create or update trained model alias API
- Reset anomaly detection jobs API
- Revert model snapshots API
- Set upgrade mode API
- Start data frame analytics jobs API
- Start datafeeds API
- Stop data frame analytics jobs API
- Stop datafeeds API
- Update anomaly detection jobs API
- Update data frame analytics jobs API
- Update datafeeds API
- Update filters API
- Update model snapshots API
- Upgrade job snapshot API
- Migration APIs
- Rollup APIs
- Security APIs
- Create or update user API
- Get Users API
- Delete User API
- Enable User API
- Disable User API
- Change Password API
- Create or update role API
- Get Roles API
- Delete Role API
- Delete Privileges API
- Get Builtin Privileges API
- Get Application Privileges API
- Clear Roles Cache API
- Clear Privileges Cache API
- Clear Realm Cache API
- Clear API Key Cache API
- Clear Service Account Token Cache API
- Authenticate API
- Has Privileges API
- Get User Privileges API
- SSL Certificate API
- Create or update role mapping API
- Get Role Mappings API
- Delete Role Mapping API
- Create Token API
- Invalidate Token API
- Create or update privileges API
- Create API Key API
- Grant API key API
- Get API Key information API
- Invalidate API Key API
- Get Service Accounts API
- Create Service Account Token API
- Delete Service Account Token API
- Get Service Account Credentials API
- Text Structure APIs
- Watcher APIs
- Graph APIs
- CCR APIs
- Index Lifecycle Management APIs
- Snapshot Lifecycle Management APIs
- Create or update snapshot lifecycle policy API
- Delete Snapshot Lifecycle Policy API
- Get Snapshot Lifecycle Policy API
- Start Snapshot Lifecycle Management API
- Stop Snapshot Lifecycle Management API
- Snapshot Lifecycle Management Status API
- Execute Snapshot Lifecycle Policy API
- Execute Snapshot Lifecycle Retention API
- Searchable Snapshots APIs
- Transform APIs
- Enrich APIs
- Using Java Builders
- Migration Guide
- License
Rollover Index API
editRollover Index API
editRollover Request
editThe Rollover Index API requires a RolloverRequest
instance.
A RolloverRequest
requires two string arguments at construction time, and
one or more conditions that determine when the index has to be rolled over:
RolloverRequest request = new RolloverRequest("alias", "index-2"); request.addMaxIndexAgeCondition(new TimeValue(7, TimeUnit.DAYS)); request.addMaxIndexDocsCondition(1000); request.addMaxIndexSizeCondition(new ByteSizeValue(5, ByteSizeUnit.GB)); request.addMaxPrimaryShardSizeCondition(new ByteSizeValue(2, ByteSizeUnit.GB));
The alias (first argument) that points to the index to rollover, and the name of the new index in case the rollover operation is performed. The new index argument is optional, and can be set to null |
|
Condition on the age of the index |
|
Condition on the number of documents in the index |
|
Condition on the size of the index |
|
Condition on the size of the largest primary shard of the index |
Optional arguments
editThe following arguments can optionally be provided:
request.getCreateIndexRequest().waitForActiveShards(ActiveShardCount.from(2)); request.getCreateIndexRequest().waitForActiveShards(ActiveShardCount.DEFAULT);
Sets the number of active shard copies to wait for before the rollover index API returns a response |
|
Resets the number of active shard copies to wait for to the default value |
String mappings = "{\"properties\":{\"field-1\":{\"type\":\"keyword\"}}}"; request.getCreateIndexRequest().mapping(mappings, XContentType.JSON);
Add the mappings to associate the new index with. See Index mappings for examples on the different ways to provide mappings |
Synchronous execution
editWhen executing a RolloverRequest
in the following manner, the client waits
for the RolloverResponse
to be returned before continuing with code execution:
RolloverResponse rolloverResponse = client.indices().rollover(request, RequestOptions.DEFAULT);
Synchronous calls may throw an IOException
in case of either failing to
parse the REST response in the high-level REST client, the request times out
or similar cases where there is no response coming back from the server.
In cases where the server returns a 4xx
or 5xx
error code, the high-level
client tries to parse the response body error details instead and then throws
a generic ElasticsearchException
and adds the original ResponseException
as a
suppressed exception to it.
Asynchronous execution
editExecuting a RolloverRequest
can also be done in an asynchronous fashion so that
the client can return directly. Users need to specify how the response or
potential failures will be handled by passing the request and a listener to the
asynchronous rollover-index method:
The asynchronous method does not block and returns immediately. Once it is
completed the ActionListener
is called back using the onResponse
method
if the execution successfully completed or using the onFailure
method if
it failed. Failure scenarios and expected exceptions are the same as in the
synchronous execution case.
A typical listener for rollover-index
looks like:
Rollover Response
editThe returned RolloverResponse
allows to retrieve information about the
executed operation as follows:
boolean acknowledged = rolloverResponse.isAcknowledged(); boolean shardsAcked = rolloverResponse.isShardsAcknowledged(); String oldIndex = rolloverResponse.getOldIndex(); String newIndex = rolloverResponse.getNewIndex(); boolean isRolledOver = rolloverResponse.isRolledOver(); boolean isDryRun = rolloverResponse.isDryRun(); Map<String, Boolean> conditionStatus = rolloverResponse.getConditionStatus();
Indicates whether all of the nodes have acknowledged the request |
|
Indicates whether the requisite number of shard copies were started for each shard in the index before timing out |
|
The name of the old index, eventually rolled over |
|
The name of the new index |
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Whether the index has been rolled over |
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Whether the operation was performed or it was a dry run |
|
The different conditions and whether they were matched or not |
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