org.apache.spark.api.java.function.ForeachFunction Java Examples

The following examples show how to use org.apache.spark.api.java.function.ForeachFunction. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: SparkStreamingSqlAnalyse.java    From sylph with Apache License 2.0 5 votes vote down vote up 
@Override
public void selectQuery(SelectQuery statement)
{
    builder.addHandler(sparkSession -> {
        Dataset<Row> df = sparkSession.sql(statement.toString());
        df.foreach((ForeachFunction<Row>) row -> System.out.println(row.mkString(",")));
        //df.show();
    });
}
Example #2
Source File: TranslationContext.java    From beam with Apache License 2.0 5 votes vote down vote up 
/** Starts the pipeline. */
public void startPipeline() {
  try {
    SparkStructuredStreamingPipelineOptions options =
        serializablePipelineOptions.get().as(SparkStructuredStreamingPipelineOptions.class);
    int datasetIndex = 0;
    for (Dataset<?> dataset : leaves) {
      if (options.isStreaming()) {
        // TODO: deal with Beam Discarding, Accumulating and Accumulating & Retracting	outputmodes
        // with DatastreamWriter.outputMode
        DataStreamWriter<?> dataStreamWriter = dataset.writeStream();
        // spark sets a default checkpoint dir if not set.
        if (options.getCheckpointDir() != null) {
          dataStreamWriter =
              dataStreamWriter.option("checkpointLocation", options.getCheckpointDir());
        }
        // TODO: Do not await termination here.
        dataStreamWriter.foreach(new NoOpForeachWriter<>()).start().awaitTermination();
      } else {
        if (options.getTestMode()) {
          LOG.debug("**** dataset {} catalyst execution plans ****", ++datasetIndex);
          dataset.explain(true);
        }
        // apply a dummy fn just to apply foreach action that will trigger the pipeline run in
        // spark
        dataset.foreach((ForeachFunction) t -> {});
      }
    }
  } catch (StreamingQueryException e) {
    throw new RuntimeException("Pipeline execution failed: " + e);
  }
}