I have a DoFn that is supposed to split input into two separate PCollections. The pipeline builds and runs up until it is time to output in the DoFn, and then I get the following exception:
"java.lang.IllegalArgumentException: Unknown output tag Tag<edu.mayo.mcc.cdh.pipeline.PubsubToAvro$PubsubMessageToArchiveDoFn$2.<init>:219#2587af97b4865538>
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkArgument(Preconditions.java:216)...
If I declare the TupleTags I'm using in the ParDo, I get that error, but if I declare them outside of the ParDo I get a syntax error saying the OutputReceiver can't find the tags. Below is the apply and the ParDo/DoFn:
PCollectionTuple results = (messages.apply("Map to Archive", ParDo.of(new PubsubMessageToArchiveDoFn()).withOutputTags(noTag, TupleTagList.of(medaPcollection))));
PCollection<AvroPubsubMessageRecord> medaPcollectionTransformed = results.get(medaPcollection);
PCollection<AvroPubsubMessageRecord> noTagPcollectionTransformed = results.get(noTag);
static class PubsubMessageToArchiveDoFn extends DoFn<PubsubMessage, AvroPubsubMessageRecord> {
final TupleTag<AvroPubsubMessageRecord> medaPcollection = new TupleTag<AvroPubsubMessageRecord>(){};
final TupleTag<AvroPubsubMessageRecord> noTag = new TupleTag<AvroPubsubMessageRecord>(){};
@ProcessElement
public void processElement(ProcessContext context, MultiOutputReceiver out) {
String appCode;
PubsubMessage message = context.element();
String msgStr = new String(message.getPayload(), StandardCharsets.UTF_8);
try {
JSONObject jsonObject = new JSONObject(msgStr);
LOGGER.info("json: {}", jsonObject);
appCode = jsonObject.getString("app_code");
LOGGER.info(appCode);
if(appCode == "MEDA"){
LOGGER.info("Made it to MEDA tag");
out.get(medaPcollection).output(new AvroPubsubMessageRecord(
message.getPayload(), message.getAttributeMap(), context.timestamp().getMillis()));
} else {
LOGGER.info("Made it to default tag");
out.get(noTag).output(new AvroPubsubMessageRecord(
message.getPayload(), message.getAttributeMap(), context.timestamp().getMillis()));
}
} catch (Exception e) {
LOGGER.info("Error Processing Message: {}\n{}", msgStr, e);
}
}
}