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Maximilian Roos commented on BEAM-2767: --------------------------------------- Is there any way to get around this on Python? I'm happy to make significant adjustments. It's extremely difficult to debug a pipeline with this issue. My nuclear option is to change all my queries to return unnested data, and then re-nest in DataFlow. > BigQueryIO result different for REPEATED field between DirectRunner and > DataflowRunner > -------------------------------------------------------------------------------------- > > Key: BEAM-2767 > URL: https://issues.apache.org/jira/browse/BEAM-2767 > Project: Beam > Issue Type: Bug > Components: io-java-gcp, runner-dataflow, runner-direct > Affects Versions: 2.0.0 > Reporter: Andre > Assignee: Chamikara Jayalath > Priority: Minor > > When running a query against BigQueryIO with a REPEATED RECORD field the > behavior is different between DirectRunner and DataflowRunner. The field > containing the repeated record has to be cast to access the records. > Apparently the following implementations work for each runner but I would > expect them to be the same as my pipeline otherwise only runs on one. > DirectRunner: > {code:java} > ArrayList<LinkedHashMap> orderLines = (ArrayList<LinkedHashMap>) > c.element().get("RepeatedField"); > {code} > DataflowRunner: > {code:java} > ImmutableList<TableRow> orderLines = (ImmutableList<TableRow>) > c.element().get("RepeatedField"); > {code} > > For example when using the ImmutableList implementation on DirectRunner the > following exception is thrown: > {code:java} > java.lang.ClassCastException: java.util.ArrayList cannot be cast to > com.google.common.collect.ImmutableList > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)