Google dataflow write to mutiple tables based on input - google-bigquery

Question

I have logs which I am trying to push to Google BigQuery. I am trying to build the entire pipeline using google dataflow. The log structure is different and can be classified into four different type. In my pipeline I read logs from PubSub parse it and write to BigQuery table. The table to which the logs need to written is depending on one parameter in logs. The problem is I am stuck on a point where how to change TableName for BigQueryIO.Write at runtime.

Answer 1

You can use side outputs.
https://cloud.google.com/dataflow/model/par-do#emitting-to-side-outputs-in-your-dofn
The following sample code, reads a BigQuery table and splits it in 3 different PCollections. Each PCollections ends up sent to a different Pub/Sub topic (which could be different BigQuery tables instead).
Pipeline p = Pipeline.create(PipelineOptionsFactory.fromArgs(args).withValidation().create());
PCollection<TableRow> weatherData = p.apply(
BigQueryIO.Read.named("ReadWeatherStations").from("clouddataflow-readonly:samples.weather_stations"));
final TupleTag<String> readings2010 = new TupleTag<String>() {
};
final TupleTag<String> readings2000plus = new TupleTag<String>() {
};
final TupleTag<String> readingsOld = new TupleTag<String>() {
};
PCollectionTuple collectionTuple = weatherData.apply(ParDo.named("tablerow2string")
.withOutputTags(readings2010, TupleTagList.of(readings2000plus).and(readingsOld))
.of(new DoFn<TableRow, String>() {
#Override
public void processElement(DoFn<TableRow, String>.ProcessContext c) throws Exception {
if (c.element().getF().get(2).getV().equals("2010")) {
c.output(c.element().toString());
} else if (Integer.parseInt(c.element().getF().get(2).getV().toString()) > 2000) {
c.sideOutput(readings2000plus, c.element().toString());
} else {
c.sideOutput(readingsOld, c.element().toString());
}
}
}));
collectionTuple.get(readings2010)
.apply(PubsubIO.Write.named("WriteToPubsub1").topic("projects/fh-dataflow/topics/bq2pubsub-topic1"));
collectionTuple.get(readings2000plus)
.apply(PubsubIO.Write.named("WriteToPubsub2").topic("projects/fh-dataflow/topics/bq2pubsub-topic2"));
collectionTuple.get(readingsOld)
.apply(PubsubIO.Write.named("WriteToPubsub3").topic("projects/fh-dataflow/topics/bq2pubsub-topic3"));
p.run();