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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/12/20 22:35:58 UTC

[jira] [Commented] (SPARK-18234) Update mode in structured streaming

    [ https://issues.apache.org/jira/browse/SPARK-18234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15765449#comment-15765449 ] 

Apache Spark commented on SPARK-18234:
--------------------------------------

User 'tdas' has created a pull request for this issue:
https://github.com/apache/spark/pull/16360

> Update mode in structured streaming
> -----------------------------------
>
>                 Key: SPARK-18234
>                 URL: https://issues.apache.org/jira/browse/SPARK-18234
>             Project: Spark
>          Issue Type: New Feature
>          Components: Structured Streaming
>            Reporter: Michael Armbrust
>            Priority: Critical
>
> We have this internal, but we should nail down the semantics and expose it to users.  The idea of update mode is that any tuple that changes will be emitted.  Open questions:
>  - do we need to reason about the {{keys}} for a given stream?  For things like the {{foreach}} sink its up to the user.  However, for more end to end use cases such as a JDBC sink, we need to know which row downstream is being updated.
>  - okay to not support files?



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