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JinxinTang commented on SPARK-32205: ------------------------------------ We can see from the doc in mysql Date type has 1000-01-01 00:00:00' to '9999-12-31 23:59:59' range, while timestamp in mysql has '1970-01-01 00:00:01' UTC to '2038-01-19 03:14:07' range, in spark, we can use `sql("select cast('1000-03-01 12:00:01' as timestamp)").toDF("ts").write.mode("append").jdbc("jdbc:mysql://localhost:3306/test", "ts_test4",prop)` to insert into mysql. Caution: the table is predefined, not auto created by spark because auto create table has Timestamp column type, this column in mysql predefined is Date type could accept this value. > Writing timestamp in mysql gets fails > -------------------------------------- > > Key: SPARK-32205 > URL: https://issues.apache.org/jira/browse/SPARK-32205 > Project: Spark > Issue Type: Bug > Components: Java API > Affects Versions: 2.3.4 > Reporter: Nilesh Patil > Priority: Major > > When we are writing to mysql with TIMESTAMP column it supports only range > '1970-01-01 00:00:01' UTC to '2038-01-19 03:14:07'. Mysql has DATETIME > datatype which has 1000-01-01 00:00:00' to '9999-12-31 23:59:59' range. > How to map spark timestamp datatype to mysql datetime datatype in order to > use higher supporting range ? > [https://dev.mysql.com/doc/refman/5.7/en/datetime.html] > -- 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