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Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2017/09/18 21:52:02 UTC
[jira] [Updated] (SPARK-18791) Stream-Stream Joins
[ https://issues.apache.org/jira/browse/SPARK-18791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das updated SPARK-18791:
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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
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