[
https://issues.apache.org/jira/browse/BEAM-9424?focusedWorklogId=397678&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397678
]
ASF GitHub Bot logged work on BEAM-9424:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 16:35
Start Date: 04/Mar/20 16:35
Worklog Time Spent: 10m
Work Description: kanterov commented on issue #11034: [BEAM-9424] Allow
grouping by LogicalType
URL: https://github.com/apache/beam/pull/11034#issuecomment-594648165
@reuvenlax I cleaned the code and left only test that reproduces this issue.
The reason for that is because it uses `RowCoderGenerator` that would use a
`Coder<BaseT>` instead of `Coder<InputT>` (see `RowCoderGenerator.java:374`).
While it doesn't make any difference for binary representation, SDK code fails
because of that. In the stack trace we can see how Combine should get
`InputT=EnumerationType$Value`, but it gets `BaseT=Integer`.
```
Caused by: java.lang.ClassCastException: java.lang.Integer cannot be cast to
org.apache.beam.sdk.schemas.logicaltypes.EnumerationType$Value
at
org.apache.beam.sdk.schemas.logicaltypes.EnumerationType.toBaseType(EnumerationType.java:37)
at
org.apache.beam.sdk.values.Row$Builder.verifyLogicalType(Row.java:659)
at org.apache.beam.sdk.values.Row$Builder.verify(Row.java:652)
at org.apache.beam.sdk.values.Row$Builder.verify(Row.java:635)
at org.apache.beam.sdk.values.Row$Builder.build(Row.java:840)
at
org.apache.beam.sdk.schemas.utils.SelectHelpers.selectRow(SelectHelpers.java:194)
at
org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner$ExtractSingleFieldFunction.apply(SchemaAggregateFn.java:241)
at
org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner$ExtractSingleFieldFunction.apply(SchemaAggregateFn.java:231)
at
org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:377)
at
org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner.addInput(SchemaAggregateFn.java:283)
at
org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner.addInput(SchemaAggregateFn.java:55)
at
org.apache.beam.sdk.transforms.Combine$CombineFn.apply(Combine.java:446)
at
org.apache.beam.sdk.transforms.Combine$GroupedValues$1.processElement(Combine.java:2171)
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 397678)
Time Spent: 3.5h (was: 3h 20m)
> Grouping By LogicalTypes is not supported
> -----------------------------------------
>
> Key: BEAM-9424
> URL: https://issues.apache.org/jira/browse/BEAM-9424
> Project: Beam
> Issue Type: Bug
> Components: sdk-java-core
> Affects Versions: 2.19.0
> Reporter: fdiazgon
> Assignee: fdiazgon
> Priority: Minor
> Labels: sql
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> Creating a schema from a BQ schema that has either TIME, DATE or DATETIME
> columns, and grouping by one of these fields throws NullPointerException.
> {code:java}
> Pipeline pipeline = Pipeline.create();
> Schema beamSchemaWithLogicalTypes =
> BigQueryUtils.fromTableSchema(
> new TableSchema()
> .setFields(
> Arrays.asList(
> new TableFieldSchema().setName("fTime").setType("TIME"),
> new TableFieldSchema().setName("fDate").setType("DATE"),
> new
> TableFieldSchema().setName("fDatetime").setType("DATETIME"))));
> Row row =
> Row.withSchema(beamSchemaWithLogicalTypes)
> .addValues(
> DateTime.parse("2020-02-02"),
> DateTime.parse("2020-02-02"),
> DateTime.parse("2020-02-02T00:00:00"))
> .build();
> PCollection<Row> outputRow =
> pipeline
> .apply(Create.of(row))
> .setRowSchema(beamSchemaWithLogicalTypes)
> .apply(
> SqlTransform.query(
> "SELECT fTime, fDate, fDatetime FROM PCOLLECTION GROUP BY
> fTime, fDate, fDatetime"));
> pipeline.run();
> {code}
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