[ https://issues.apache.org/jira/browse/SPARK-7990?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-7990: ----------------------------------- Assignee: Apache Spark > Add methods to facilitate equi-join on multiple join keys > --------------------------------------------------------- > > Key: SPARK-7990 > URL: https://issues.apache.org/jira/browse/SPARK-7990 > Project: Spark > Issue Type: Sub-task > Components: SQL > Reporter: Reynold Xin > Assignee: Apache Spark > > We have a variant of the join function that facilitates equi-join on a single > join key, but we don't have one to do it for multiple join keys. > This is the existing Python API: > {code} > def join(self, other, joinExprs=None, joinType=None): > {code} > I think we should rename joinExprs to "on", and joinType to "how" to match > Pandas. And then the "on" column should support either a string, a join > condition, a list of string, or a list of join condition ("and" together). > In order to support the Python API, we'd need to add a variant for Scala as > well. I think we can add another join method that looks like > {code} > def join(other: DataFrame, on: Seq[String], joinType: String): DataFrame > {code} > and update the existing Scala one to call this one. -- 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