[ https://issues.apache.org/jira/browse/SPARK-18791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das updated SPARK-18791: ---------------------------------- Description: Stream stream join is a much requested, but missing feature in Structured Streaming. While the join API exists in Datasets and DataFrames, it throws UnsupportedOperationException when applied between two streaming Datasets/DataFrames. To support this, we have to maintain the same semantics as other Structured Streaming operations - the output of the operation after consuming a stream of data until position/offset X, should be the same as a batch join on all the data (was: Just a placeholder for now. Please comment with your requirements.) > Stream-Stream Joins > ------------------- > > Key: SPARK-18791 > URL: https://issues.apache.org/jira/browse/SPARK-18791 > Project: Spark > Issue Type: New Feature > Components: Structured Streaming > Reporter: Michael Armbrust > > Stream stream join is a much requested, but missing feature in Structured > Streaming. While the join API exists in Datasets and DataFrames, it throws > UnsupportedOperationException when applied between two streaming > Datasets/DataFrames. To support this, we have to maintain the same semantics > as other Structured Streaming operations - the output of the operation after > consuming a stream of data until position/offset X, should be the same as a > batch join on all the data -- 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