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https://issues.apache.org/jira/browse/BEAM-7755?focusedWorklogId=282885&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282885
]
ASF GitHub Bot logged work on BEAM-7755:
----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Jul/19 20:15
Start Date: 25/Jul/19 20:15
Worklog Time Spent: 10m
Work Description: amaliujia commented on pull request #9089: [BEAM-7755]
adding repeated row implementation that worked on a simple case
URL: https://github.com/apache/beam/pull/9089#discussion_r307481133
##########
File path:
sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java
##########
@@ -422,4 +424,30 @@ public void testToBeamRow_array_row() {
Row beamRow = BigQueryUtils.toBeamRow(ARRAY_ROW_TYPE, BQ_ARRAY_ROW_ROW);
assertEquals(ARRAY_ROW_ROW, beamRow);
}
+
+ @Test
+ public void testToBeamRow_repeated_row() {
Review comment:
Thanks for adding this test. It's much more clear now on the change. So this
change extends a general support for `ARRAY<T>`.
Optional, it would be great if you could also test `ARRAY<ARRAY<T>>`
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Issue Time Tracking
-------------------
Worklog Id: (was: 282885)
Time Spent: 1h (was: 50m)
> BigQuery Repeated Records do not seem to work
> ---------------------------------------------
>
> Key: BEAM-7755
> URL: https://issues.apache.org/jira/browse/BEAM-7755
> Project: Beam
> Issue Type: Bug
> Components: io-java-avro, io-java-gcp
> Affects Versions: 2.12.0, 2.13.0
> Reporter: Sahith Nallapareddy
> Assignee: Sahith Nallapareddy
> Priority: Major
> Time Spent: 1h
> Remaining Estimate: 0h
>
> When translating BigQuery rows to beam rows, specifically using the
> BigQueryUtils.toBeamRow(record, beamSchema) method, REPEATED RECORDS causes
> an error. This seems to be caused that avro arrays are thought to only have
> primitive types but these are arrays with a ROW type:
> {noformat}
> Caused by: java.lang.RuntimeException: ROW is not primitive type.
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.convertAvroPrimitiveTypes(BigQueryUtils.java:467)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.convertAvroArray(BigQueryUtils.java:427)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.convertAvroFormat(BigQueryUtils.java:373)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.lambda$toBeamRow$2(BigQueryUtils.java:222)
> at
> java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
> at
> java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1376)
> at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
> at
> java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
> at
> java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
> at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
> at
> java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toBeamRow(BigQueryUtils.java:223)
> at
> com.spotify.data.sql.RowSource.lambda$bigquery$120a5f9f$1(RowSource.java:55)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQuerySourceBase$1.apply(BigQuerySourceBase.java:242)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQuerySourceBase$1.apply(BigQuerySourceBase.java:235)
> at
> org.apache.beam.sdk.io.AvroSource$AvroBlock.readNextRecord(AvroSource.java:597)
> at
> org.apache.beam.sdk.io.BlockBasedSource$BlockBasedReader.readNextRecord(BlockBasedSource.java:209)
> at
> org.apache.beam.sdk.io.FileBasedSource$FileBasedReader.advanceImpl(FileBasedSource.java:484)
> at
> org.apache.beam.sdk.io.FileBasedSource$FileBasedReader.startImpl(FileBasedSource.java:479)
> at
> org.apache.beam.sdk.io.OffsetBasedSource$OffsetBasedReader.start(OffsetBasedSource.java:249)
> at
> org.apache.beam.runners.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.start(WorkerCustomSources.java:601)
> {noformat}
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