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https://issues.apache.org/jira/browse/BEAM-12385?focusedWorklogId=607114&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-607114
]
ASF GitHub Bot logged work on BEAM-12385:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Jun/21 14:40
Start Date: 04/Jun/21 14:40
Worklog Time Spent: 10m
Work Description: anantdamle commented on a change in pull request #14858:
URL: https://github.com/apache/beam/pull/14858#discussion_r645623911
##########
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:
No worries @iemejia, concern in using is that Hive only provides
`varchar`, how to then deal with others like longvarchar etc.
If I use lowercase then converting back to JDBCType would become hard.
Do you suggest converting all the string based logical types to just varchar
with appropriate maxLength?
The approach in JdbcIO schema is to represent them with Uppercase logical
type of JDBC.
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Issue Time Tracking
-------------------
Worklog Id: (was: 607114)
Time Spent: 5h 20m (was: 5h 10m)
> 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: 5h 20m
> 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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