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https://issues.apache.org/jira/browse/SPARK-19487?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-19487:
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Labels: bulk-closed (was: )
> Low latency execution for Spark
> -------------------------------
>
> Key: SPARK-19487
> URL: https://issues.apache.org/jira/browse/SPARK-19487
> Project: Spark
> Issue Type: Umbrella
> Components: ML, Scheduler, Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Shivaram Venkataraman
> Priority: Major
> Labels: bulk-closed
>
> This JIRA tracks the design discussion for supporting low latency execution
> in Apache Spark. The motivation for this comes from need to support lower
> latency stream processing and lower latency iterations for sparse ML
> workloads.
> Overview of proposed design (in the format of Spark Improvement Proposal) is
> at
> https://docs.google.com/document/d/1m_q83DjQcWQonEz4IsRUHu4QSjcDyqRpl29qE4LJc4s/edit?usp=sharing
> Source code prototype is at: https://github.com/amplab/drizzle-spark
> Lets use this JIRA to discuss high level design and we can create subtasks as
> we break this down into smaller PRs.
> This is joint work with [~kayousterhout]
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