[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-10-21 Thread AmplabJenkins
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https://github.com/apache/spark/pull/21353
  
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[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-10-21 Thread AmplabJenkins
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https://github.com/apache/spark/pull/21353
  
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[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-05-17 Thread AmplabJenkins
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[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-05-17 Thread AmplabJenkins
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https://github.com/apache/spark/pull/21353
  
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[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-05-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/21353
  
**[Test build #90736 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/90736/testReport)**
 for PR 21353 at commit 
[`42e2a63`](https://github.com/apache/spark/commit/42e2a63f68ba12264f001ed53ff33c27c1287de8).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `class ContinuousShuffleDependency[K: ClassTag, V: ClassTag, C: 
ClassTag](`


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[GitHub] spark issue #21353: [SPARK-24304][SS] Scheduler changes for continuous proce...

2018-05-17 Thread jose-torres
Github user jose-torres commented on the issue:

https://github.com/apache/spark/pull/21353
  
As I've mentioned elsewhere, stages are currently submitted sequentially. 
That is, for a stage X, all the stage dependencies of X are completed before 
the tasks within X start. This change proposes to violate that invariant, and 
it's not obvious that this is a safe approach. The questions we need to answer 
are:
* How can we attempt to validate that this is indeed safe to change, and 
will not break the scheduler or things dependent on it in subtle ways?
* What benefits do we derive from adding the additional risk of a scheduler 
change, rather than handling continuous shuffles entirely at the RDD layer?


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