- Java REST Client (deprecated): other versions:
- Overview
- Java Low Level REST Client
- Java High Level REST Client
- Getting started
- Document APIs
- 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
- 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
- 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
- Cluster APIs
- Ingest APIs
- Snapshot APIs
- Tasks APIs
- Script APIs
- Licensing APIs
- Machine Learning APIs
- Put anomaly detection job API
- Get anomaly detection jobs API
- Delete anomaly detection job API
- Open anomaly detection job API
- Close anomaly detection job API
- Update anomaly detection job API
- Flush Job API
- Put datafeed API
- Update datafeed API
- Get datafeed API
- Delete datafeed API
- Preview Datafeed API
- Start datafeed API
- Stop Datafeed API
- Get datafeed stats API
- Get anomaly detection job stats API
- Forecast Job API
- Delete Forecast API
- Get buckets API
- Get overall buckets API
- Get records API
- Post Data API
- Get influencers API
- Get categories API
- Get calendars API
- Put calendar API
- Get calendar events API
- Post Calendar Event API
- Delete calendar event API
- Put anomaly detection jobs in calendar API
- Delete anomaly detection jobs from calendar API
- Delete calendar API
- Get data frame analytics jobs API
- Get data frame analytics jobs stats API
- Put data frame analytics jobs API
- Delete data frame analytics jobs API
- Start data frame analytics jobs API
- Stop data frame analytics jobs API
- Evaluate data frame analytics API
- Put Filter API
- Get filters API
- Update filter API
- Delete Filter API
- Get model snapshots API
- Delete Model Snapshot API
- Revert Model Snapshot API
- Update model snapshot API
- ML get info API
- Delete Expired Data API
- Set Upgrade Mode 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 Realm 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
- Transform APIs
- Using Java Builders
- Migration Guide
- License
Execute watch API
editExecute watch API
editThe execute watch API allows clients to immediately execute a watch, either one that has been previously added via the Put Watch API or inline as part of the request.
Execute by id
editSubmit the following request to execute a previously added watch:
ExecuteWatchRequest request = ExecuteWatchRequest.byId("my_watch_id"); request.setAlternativeInput("{ \"foo\" : \"bar\" }"); request.setActionMode("action1", ExecuteWatchRequest.ActionExecutionMode.SIMULATE); request.setRecordExecution(true); request.setIgnoreCondition(true); request.setTriggerData("{\"triggered_time\":\"now\"}"); request.setDebug(true); ExecuteWatchResponse response = client.watcher().executeWatch(request, RequestOptions.DEFAULT);
Execute by id response
editThe returned Response
contains details of the execution:
Asynchronous execution by id
editThis request can be executed asynchronously:
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.
A typical listener for ExecuteWatchResponse
looks like:
Execute inline
editSubmit the following request to execute a watch defined as part of the request:
String watchJson = "{ \n" + " \"trigger\": { \"schedule\": { \"interval\": \"10h\" } },\n" + " \"input\": { \"none\": {} },\n" + " \"actions\": { \"logme\": { \"logging\": { \"text\": \"{{ctx.payload}}\" } } }\n" + "}"; ExecuteWatchRequest request = ExecuteWatchRequest.inline(watchJson); request.setAlternativeInput("{ \"foo\" : \"bar\" }"); request.setActionMode("action1", ExecuteWatchRequest.ActionExecutionMode.SIMULATE); request.setIgnoreCondition(true); request.setTriggerData("{\"triggered_time\":\"now\"}"); request.setDebug(true); ExecuteWatchResponse response = client.watcher().executeWatch(request, RequestOptions.DEFAULT);
Alternative input for the watch to use in json format |
|
Set the mode for action "action1" to SIMULATE |
|
Execute the watch regardless of the watch’s condition |
|
Set the trigger data for the watch in json format |
|
Enable debug mode |
Note that inline watches cannot be recorded.
The response format and asynchronous execution methods are the same as for the Execute Watch by ID API.