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https://issues.apache.org/jira/browse/BEAM-9613?focusedWorklogId=576894&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-576894
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ASF GitHub Bot logged work on BEAM-9613:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Apr/21 14:57
Start Date: 05/Apr/21 14:57
Worklog Time Spent: 10m
Work Description: mouyang commented on pull request #14350:
URL: https://github.com/apache/beam/pull/14350#issuecomment-813437945
@TheNeuralBit honestly after seeing that, I don't know without additional
context. It's clear now that BigQueryUtils and BigqueryClient duplicates some
efforts. Removing the type conversions in BigqueryClient would be closer to
the metal and consistent with the second approach you proposed earlier. There
also no performance hit as previously feared in staying with Strings because
everything starts off as a String.
I'm fine with waiting to hear back from @pabloem but the second option you
proposed still looks viable.
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Issue Time Tracking
-------------------
Worklog Id: (was: 576894)
Time Spent: 3h 50m (was: 3h 40m)
> BigQuery IO not support convert double type for beam row
> --------------------------------------------------------
>
> Key: BEAM-9613
> URL: https://issues.apache.org/jira/browse/BEAM-9613
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.28.0
> Reporter: MAKSIM TSYGAN
> Assignee: Matthew Ouyang
> Priority: P3
> Fix For: 2.30.0
>
> Time Spent: 3h 50m
> Remaining Estimate: 0h
>
> If execute query with double column via BigQueryIO.readFrom(), I get
> exception:
> Caused by: java.lang.UnsupportedOperationException: Converting BigQuery type
> 'class java.lang.Double' to 'FieldType\{typeName=DOUBLE, nullable=true,
> logicalType=null, collectionElementType=null, mapKeyType=null,
> mapValueType=null, rowSchema=null, metadata={}}' is not supported
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toBeamValue(BigQueryUtils.java:532)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toBeamRowFieldValue(BigQueryUtils.java:483)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.lambda$toBeamRow$6(BigQueryUtils.java:469)
> at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
> at
> java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382)
> at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
> at
> java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
> 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:566)
> at
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toBeamRow(BigQueryUtils.java:470)
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