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https://issues.apache.org/jira/browse/BEAM-12385?focusedWorklogId=607167&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-607167
]
ASF GitHub Bot logged work on BEAM-12385:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Jun/21 15:57
Start Date: 04/Jun/21 15:57
Worklog Time Spent: 10m
Work Description: iemejia commented on a change in pull request #14858:
URL: https://github.com/apache/beam/pull/14858#discussion_r645682994
##########
File path:
sdks/java/core/src/main/java/org/apache/beam/sdk/schemas/utils/AvroUtils.java
##########
@@ -1277,4 +1308,17 @@ private static void checkTypeName(Schema.TypeName got,
Schema.TypeName expected,
checkArgument(
got.equals(expected), "Can't convert '%s' to %s, expected: %s", label,
got, expected);
}
+
+ /** Helper factory to build JDBC Logical types for AVRO Schema. */
+ private static org.apache.avro.Schema makeJdbcLogicalStringAvroType(
+ Schema.LogicalType<?, ?> logicalType) {
+ JDBCType jdbcType = JDBCType.valueOf(logicalType.getIdentifier());
+ Integer size = logicalType.getArgument();
+
+ String schemaJson =
Review comment:
All the logicalTypes that Hive/Spark define are spelled with lowercase
so let's do like them.
It is a bit odd compared with the Java SQL Types (on uppercase), at least
SQL should be casing agnostic so it should not matter in that front.
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Issue Time Tracking
-------------------
Worklog Id: (was: 607167)
Time Spent: 5.5h (was: 5h 20m)
> AvroUtils exception when converting JDBC Row to GenericRecord
> -------------------------------------------------------------
>
> Key: BEAM-12385
> URL: https://issues.apache.org/jira/browse/BEAM-12385
> Project: Beam
> Issue Type: Bug
> Components: sdk-java-core
> Reporter: Anant Damle
> Assignee: Anant Damle
> Priority: P2
> Fix For: 2.31.0
>
> Time Spent: 5.5h
> Remaining Estimate: 0h
>
> `{{AvroUtils.toAvroSchema()}}` and `{{AvroUtils.toGenericRecord()}}` throw
> exception for JDBC specific logical types like: `{{DATE}}`, `{{NVARCHAR}}`,
> `{{VARCHAR}}`, `{{LONGVARCHAR}}` etc.
>
> {code:java}
> pipeline
> .apply(JdbcIO.readRows()...)
> .apply(MapElements.via(
> (Row row) -> {
> // This statement throws Exception "Unhandled Logical Type"
> org.apache.avro.Schema schema =
> AvroUtils.toAvroSchema(row.getSchema());
> }));
> {code}
>
>
> This can be handled by adding additional case-statements in AvroUtils:
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