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https://issues.apache.org/jira/browse/SPARK-33888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17268511#comment-17268511
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Apache Spark commented on SPARK-33888:
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User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/31262
> JDBC SQL TIME type represents incorrectly as TimestampType, it should be
> physical Int in millis
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-33888
> URL: https://issues.apache.org/jira/browse/SPARK-33888
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.3, 3.0.0, 3.0.1
> Reporter: Duc Hoa Nguyen
> Assignee: Apache Spark
> Priority: Minor
> Fix For: 3.2.0
>
>
> Currently, for JDBC, SQL TIME type represents incorrectly as Spark
> TimestampType. This should be represent as physical int in millis Represents
> a time of day, with no reference to a particular calendar, time zone or date,
> with a precision of one millisecond. It stores the number of milliseconds
> after midnight, 00:00:00.000.
> We encountered the issue of Avro logical type of `TimeMillis` not being
> converted correctly to Spark `Timestamp` struct type using the
> `SchemaConverters`, but it converts to regular `int` instead. Reproducible by
> ingest data from MySQL table with a column of TIME type: Spark JDBC dataframe
> will get the correct type (Timestamp), but enforcing our avro schema
> (`{"type": "int"," logicalType": "time-millis"}`) externally will fail to
> apply with the following exception:
> {{java.lang.RuntimeException: java.sql.Timestamp is not a valid external type
> for schema of int}}
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