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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2021/09/13 15:11:03 UTC
[jira] [Commented] (SPARK-33888) JDBC SQL TIME type represents
incorrectly as TimestampType, it should be physical Int in millis
[ https://issues.apache.org/jira/browse/SPARK-33888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17414255#comment-17414255 ]
Wenchen Fan commented on SPARK-33888:
-------------------------------------
This was reverted and replaced by https://github.com/apache/spark/pull/31473
> 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: Duc Hoa Nguyen
> 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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