Start transform API

A StartDataFrameTransformRequest object requires a non-null id.

StartDataFrameTransformRequest request =
        new StartDataFrameTransformRequest("mega-transform");  

The following arguments are optional.

request.setTimeout(TimeValue.timeValueSeconds(20));  

When executing a StartDataFrameTransformRequest in the following manner, the client waits for the StartDataFrameTransformResponse to be returned before continuing with code execution:

StartDataFrameTransformResponse response =
        client.dataFrame().startDataFrameTransform(
                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.

Executing a StartDataFrameTransformRequest 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 start-transform method:

client.dataFrame().startDataFrameTransformAsync(
        request, RequestOptions.DEFAULT, listener); 

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 start-transform looks like:

ActionListener<StartDataFrameTransformResponse> listener =
        new ActionListener<StartDataFrameTransformResponse>() {
            @Override
            public void onResponse(
                    StartDataFrameTransformResponse response) {
                
            }

            @Override
            public void onFailure(Exception e) {
                
            }
        };

The returned StartDataFrameTransformResponse object acknowledges the transform has started.