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From "Cody Koeninger (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17813) Maximum data per trigger
Date Fri, 14 Oct 2016 01:45:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15573806#comment-15573806
] 

Cody Koeninger commented on SPARK-17813:
----------------------------------------

So issues to be worked out here (assuming we're still ignoring compacted topics)

maxOffsetsPerTrigger - how are these maximums distributed among partitions?  What about skewed
topics / partitions?

maxOffsetsPerTopicPartitionPerTrigger - (this isn't just hypothetical, e.g. SPARK-17510) If
we do this, how is this configuration communicated? 

{noformat}
option("maxOffsetsPerTopicPartitionPerTrigger", """{"topicFoo":{"0":600}, "topicBar":{"0":300,
"1": 600}}""")
{noformat}

{noformat}
option("maxOffsetsPerTopicPerTrigger", """{"topicFoo": 600, "topicBar": 300}""")
{noformat}



> Maximum data per trigger
> ------------------------
>
>                 Key: SPARK-17813
>                 URL: https://issues.apache.org/jira/browse/SPARK-17813
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Michael Armbrust
>
> At any given point in a streaming query execution, we process all available data.  This
maximizes throughput at the cost of latency.  We should add something similar to the {{maxFilesPerTrigger}}
option available for files.



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