- 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
- Put 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
- Put 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
- Put 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
- Estimate anomaly detection job model memory API
- Evaluate data frame analytics API
- Explain data frame analytics API
- Find file structure 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
- Put anomaly detection jobs API
- Put anomaly detection jobs in calendar API
- Put calendars API
- Put data frame analytics jobs API
- Put datafeeds API
- Put filters API
- Put trained models 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
- Migration APIs
- Rollup APIs
- Security APIs
- Put User API
- Get Users API
- Delete User API
- Enable User API
- Disable User API
- Change Password API
- Put Role API
- Get Roles API
- Delete Role API
- Delete Privileges API
- Get Builtin Privileges API
- Get Privileges API
- Clear Roles Cache API
- Clear Privileges Cache API
- Clear Realm Cache API
- Clear API Key Cache API
- Authenticate API
- Has Privileges API
- Get User Privileges API
- SSL Certificate API
- Put Role Mapping API
- Get Role Mappings API
- Delete Role Mapping API
- Create Token API
- Invalidate Token API
- Put Privileges API
- Create API Key API
- Get API Key information API
- Invalidate API Key API
- Watcher APIs
- Graph APIs
- CCR APIs
- Index Lifecycle Management APIs
- Snapshot Lifecycle Management APIs
- Put 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
- Transform APIs
- Enrich APIs
- Using Java Builders
- Migration Guide
- License
Flush jobs API
editFlush jobs API
editFlushes an anomaly detection job’s datafeed in the cluster.
It accepts a FlushJobRequest
object and responds
with a FlushJobResponse
object.
Flush jobs request
editA FlushJobRequest
object gets created with an existing non-null jobId
.
All other fields are optional for the request.
Optional arguments
editThe following arguments are optional.
flushJobRequest.setCalcInterim(true); flushJobRequest.setAdvanceTime("2018-08-31T16:35:07+00:00"); flushJobRequest.setStart("2018-08-31T16:35:17+00:00"); flushJobRequest.setEnd("2018-08-31T16:35:27+00:00"); flushJobRequest.setSkipTime("2018-08-31T16:35:00+00:00");
Set request to calculate the interim results |
|
Set the advanced time to flush to the particular time value |
|
Set the start time for the range of buckets on which
to calculate the interim results (requires |
|
Set the end time for the range of buckets on which
to calculate interim results (requires |
|
Set the skip time to skip a particular time value |
Flush jobs response
editA FlushJobResponse
contains an acknowledgement and an optional end date for the
last finalized bucket
Synchronous execution
editWhen executing a FlushJobRequest
in the following manner, the client waits
for the FlushJobResponse
to be returned before continuing with code execution:
FlushJobResponse flushJobResponse = client.machineLearning().flushJob(flushJobRequest, 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 FlushJobRequest
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 flush-job 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 flush-job
looks like:
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