[jira] [Commented] (SPARK-36536) Split the JSON/CSV option of datetime format to in read and in write
[ https://issues.apache.org/jira/browse/SPARK-36536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17403051#comment-17403051 ] Apache Spark commented on SPARK-36536: -- User 'MaxGekk' has created a pull request for this issue: https://github.com/apache/spark/pull/33809 > Split the JSON/CSV option of datetime format to in read and in write > > > Key: SPARK-36536 > URL: https://issues.apache.org/jira/browse/SPARK-36536 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.2.0 >Reporter: Max Gekk >Assignee: Max Gekk >Priority: Major > Fix For: 3.3.0 > > > This is a follow up of https://issues.apache.org/jira/browse/SPARK-36418. > Need to split JSON and CSV options *dateFormat* and *timestampFormat*. In > write, should be the same but in read the option shouldn't be set to a > default value. In this way, DateFormatter and TimestampFormatter will use the > CAST logic. -- 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
[jira] [Commented] (SPARK-36536) Split the JSON/CSV option of datetime format to in read and in write
[ https://issues.apache.org/jira/browse/SPARK-36536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17403049#comment-17403049 ] Apache Spark commented on SPARK-36536: -- User 'MaxGekk' has created a pull request for this issue: https://github.com/apache/spark/pull/33809 > Split the JSON/CSV option of datetime format to in read and in write > > > Key: SPARK-36536 > URL: https://issues.apache.org/jira/browse/SPARK-36536 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.2.0 >Reporter: Max Gekk >Assignee: Max Gekk >Priority: Major > Fix For: 3.3.0 > > > This is a follow up of https://issues.apache.org/jira/browse/SPARK-36418. > Need to split JSON and CSV options *dateFormat* and *timestampFormat*. In > write, should be the same but in read the option shouldn't be set to a > default value. In this way, DateFormatter and TimestampFormatter will use the > CAST logic. -- 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
[jira] [Commented] (SPARK-36536) Split the JSON/CSV option of datetime format to in read and in write
[ https://issues.apache.org/jira/browse/SPARK-36536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17400574#comment-17400574 ] Apache Spark commented on SPARK-36536: -- User 'MaxGekk' has created a pull request for this issue: https://github.com/apache/spark/pull/33769 > Split the JSON/CSV option of datetime format to in read and in write > > > Key: SPARK-36536 > URL: https://issues.apache.org/jira/browse/SPARK-36536 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.2.0 >Reporter: Max Gekk >Assignee: Max Gekk >Priority: Major > > This is a follow up of https://issues.apache.org/jira/browse/SPARK-36418. > Need to split JSON and CSV options *dateFormat* and *timestampFormat*. In > write, should be the same but in read the option shouldn't be set to a > default value. In this way, DateFormatter and TimestampFormatter will use the > CAST logic. -- 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
