[jira] [Updated] (SPARK-11966) Spark API for UDTFs
[ https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-11966: - Labels: bulk-closed (was: ) > Spark API for UDTFs > --- > > Key: SPARK-11966 > URL: https://issues.apache.org/jira/browse/SPARK-11966 > Project: Spark > Issue Type: New Feature > Components: SQL >Reporter: Jaka Jancar >Priority: Minor > Labels: bulk-closed > > Defining UDFs is easy using sqlContext.udf.register, but not table-generating > functions. For those you still have to use these horrendous Hive interfaces: > https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java -- 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] [Updated] (SPARK-11966) Spark API for UDTFs
[ https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Armbrust updated SPARK-11966: - Target Version/s: 1.7.0 > Spark API for UDTFs > --- > > Key: SPARK-11966 > URL: https://issues.apache.org/jira/browse/SPARK-11966 > Project: Spark > Issue Type: New Feature > Components: SQL >Reporter: Jaka Jancar >Priority: Minor > > Defining UDFs is easy using sqlContext.udf.register, but not table-generating > functions. For those you still have to use these horrendous Hive interfaces: > https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-11966) Spark API for UDTFs
[ https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-11966: -- Component/s: SQL > Spark API for UDTFs > --- > > Key: SPARK-11966 > URL: https://issues.apache.org/jira/browse/SPARK-11966 > Project: Spark > Issue Type: New Feature > Components: SQL >Reporter: Jaka Jancar >Priority: Minor > > Defining UDFs is easy using sqlContext.udf.register, but not table-generating > functions. For those you still have to use these horrendous Hive interfaces: > https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-11966) Spark API for UDTFs
[ https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jaka Jancar updated SPARK-11966: Priority: Minor (was: Major) > Spark API for UDTFs > --- > > Key: SPARK-11966 > URL: https://issues.apache.org/jira/browse/SPARK-11966 > Project: Spark > Issue Type: New Feature >Reporter: Jaka Jancar >Priority: Minor > > Defining UDFs is easy using sqlContext.udf.register, but not table-generating > functions. For those you still have to use these horrendous Hive interfaces: > https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
