[ https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17394724#comment-17394724 ]
Apache Spark commented on SPARK-36429: -------------------------------------- User 'sarutak' has created a pull request for this issue: https://github.com/apache/spark/pull/33670 > JacksonParser should throw exception when data type unsupported. > ---------------------------------------------------------------- > > Key: SPARK-36429 > URL: https://issues.apache.org/jira/browse/SPARK-36429 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.2.0 > Reporter: jiaan.geng > Assignee: jiaan.geng > Priority: Major > Fix For: 3.2.0 > > > Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is > different between from_json and from_csv. > {code:java} > -- !query > select from_json('{"t":"26/October/2015"}', 't Timestamp', > map('timestampFormat', 'dd/MMMMM/yyyy')) > -- !query schema > struct<from_json({"t":"26/October/2015"}):struct<t:timestamp_ntz>> > -- !query output > {"t":null} > {code} > {code:java} > -- !query > select from_csv('26/October/2015', 't Timestamp', map('timestampFormat', > 'dd/MMMMM/yyyy')) > -- !query schema > struct<> > -- !query output > java.lang.Exception > Unsupported type: timestamp_ntz > {code} > We should make from_json throws exception too. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org