[jira] [Commented] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16833145#comment-16833145 ] Al Johri commented on SPARK-22814: -- Cross posting my Github [comment]([https://github.com/apache/spark/pull/21834#issuecomment-489357987]) here: looks like this feature does not work with PySpark 2.4.0. > JDBC support date/timestamp type as partitionColumn > --- > > Key: SPARK-22814 > URL: https://issues.apache.org/jira/browse/SPARK-22814 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 1.6.2, 2.2.1 >Reporter: Yuechen Chen >Assignee: Takeshi Yamamuro >Priority: Major > Fix For: 2.4.0 > > Original Estimate: 168h > Remaining Estimate: 168h > > In spark, you can partition MySQL queries by partitionColumn. > val df = (spark.read.jdbc(url=jdbcUrl, > table="employees", > columnName="emp_no", > lowerBound=1L, > upperBound=10L, > numPartitions=100, > connectionProperties=connectionProperties)) > display(df) > But, partitionColumn must be a numeric column from the table. > However, there are lots of table, which has no primary key, and has some > date/timestamp indexes. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16832420#comment-16832420 ] Shyama commented on SPARK-22814: I am trying the same thing but getting error , so how does partitionColumn infer the DataType it ? [https://stackoverflow.com/questions/55965978/how-to-set-jdbc-partitioncolumn-type-to-date-in-spark-2-4-1?noredirect=1#comment98586394_55965978] > JDBC support date/timestamp type as partitionColumn > --- > > Key: SPARK-22814 > URL: https://issues.apache.org/jira/browse/SPARK-22814 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 1.6.2, 2.2.1 >Reporter: Yuechen Chen >Assignee: Takeshi Yamamuro >Priority: Major > Fix For: 2.4.0 > > Original Estimate: 168h > Remaining Estimate: 168h > > In spark, you can partition MySQL queries by partitionColumn. > val df = (spark.read.jdbc(url=jdbcUrl, > table="employees", > columnName="emp_no", > lowerBound=1L, > upperBound=10L, > numPartitions=100, > connectionProperties=connectionProperties)) > display(df) > But, partitionColumn must be a numeric column from the table. > However, there are lots of table, which has no primary key, and has some > date/timestamp indexes. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16551580#comment-16551580 ] Apache Spark commented on SPARK-22814: -- User 'maropu' has created a pull request for this issue: https://github.com/apache/spark/pull/21834 > JDBC support date/timestamp type as partitionColumn > --- > > Key: SPARK-22814 > URL: https://issues.apache.org/jira/browse/SPARK-22814 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 1.6.2, 2.2.1 >Reporter: Yuechen Chen >Priority: Major > Original Estimate: 168h > Remaining Estimate: 168h > > In spark, you can partition MySQL queries by partitionColumn. > val df = (spark.read.jdbc(url=jdbcUrl, > table="employees", > columnName="emp_no", > lowerBound=1L, > upperBound=10L, > numPartitions=100, > connectionProperties=connectionProperties)) > display(df) > But, partitionColumn must be a numeric column from the table. > However, there are lots of table, which has no primary key, and has some > date/timestamp indexes. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16293680#comment-16293680 ] Yuechen Chen commented on SPARK-22814: -- https://github.com/apache/spark/pull/1 > JDBC support date/timestamp type as partitionColumn > --- > > Key: SPARK-22814 > URL: https://issues.apache.org/jira/browse/SPARK-22814 > Project: Spark > Issue Type: Improvement > Components: Input/Output >Affects Versions: 1.6.2, 2.2.1 >Reporter: Yuechen Chen > Original Estimate: 168h > Remaining Estimate: 168h > > In spark, you can partition MySQL queries by partitionColumn. > val df = (spark.read.jdbc(url=jdbcUrl, > table="employees", > columnName="emp_no", > lowerBound=1L, > upperBound=10L, > numPartitions=100, > connectionProperties=connectionProperties)) > display(df) > But, partitionColumn must be a numeric column from the table. > However, there are lots of table, which has no primary key, and has some > date/timestamp indexes. -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
