[jira] [Updated] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-22814: Component/s: (was: Input/Output) SQL > 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 > 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
[jira] [Updated] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yuechen Chen updated SPARK-22814: - Docs Text: (was: https://github.com/apache/spark/pull/1) 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
[jira] [Updated] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yuechen Chen updated SPARK-22814: - Docs Text: https://github.com/apache/spark/pull/1 External issue URL: (was: 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
[jira] [Updated] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
[ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yuechen Chen updated SPARK-22814: - External issue URL: 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
