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https://issues.apache.org/jira/browse/BEAM-9424?focusedWorklogId=397669&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397669
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ASF GitHub Bot logged work on BEAM-9424:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 15:58
Start Date: 04/Mar/20 15:58
Worklog Time Spent: 10m
Work Description: reuvenlax commented on issue #11034: [BEAM-9424] Allow
grouping by LogicalType
URL: https://github.com/apache/beam/pull/11034#issuecomment-594625264
The whole point of Logical types is that the representation should be that
of the base type (the schema returned by getBaseType). This means that the
logical type can be processed by code that doesn't know about InputT, and also
makes it possible to use it cross language.
Where in Group do we need Coder<InputT>? I feel like I'm still missing
something.
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Issue Time Tracking
-------------------
Worklog Id: (was: 397669)
Time Spent: 3h 20m (was: 3h 10m)
> 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: 3h 20m
> 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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