Real Time Machine Learning with Google Cloud MLGo to Lab
Dataflow job execution took 40 mins and with a system latency of 2000 seconds. the job didn't complete in time and lab elapsed.
Need to undersatnd how codes work
While the lab is interesting and very well detailed and written, there is a bug in the code which lead to the following stats on Dataflow: 1 warning 110 errors java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: com.google.gson.JsonSyntaxException: java.lang.IllegalStateException: Expected an int but was BEGIN_ARRAY at line 1 column 109 path $.predictions.classes com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:183) System lag 18 min 39 sec