[
https://issues.apache.org/jira/browse/BEAM-4783?focusedWorklogId=192939&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-192939
]
ASF GitHub Bot logged work on BEAM-4783:
----------------------------------------
Author: ASF GitHub Bot
Created on: 31/Jan/19 17:12
Start Date: 31/Jan/19 17:12
Worklog Time Spent: 10m
Work Description: kyle-winkelman commented on pull request #7690:
[BEAM-4783] Fix issues created in #6181.
URL: https://github.com/apache/beam/pull/7690
Fix issues created in #6181 and incorrectly fixed in #6884 (although this PR
increased readability greatly).
Before any work on
[BEAM-4783](https://issues.apache.org/jira/browse/BEAM-4783),
GroupCombineFunctions would always use a `new
HashPartitioner(rdd.rdd().sparkContext().defaultParallelism());`.
The intent was to skip the creation of this `Partitioner` and call
`groupByKey()` with no arguments only when the new bundleSize option was in
use. #6181 actually did the opposite causing performance impacts, and because
#6181 had terrible readability #6884 did not fix it correctly.
@iemejia @timrobertson100
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Post-Commit Tests Status (on master branch)
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Lang | SDK | Apex | Dataflow | Flink | Gearpump | Samza | Spark
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Go | [](https://builds.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/)
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| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Apex/lastCompletedBuild/)
| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Dataflow/lastCompletedBuild/)
| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Flink/lastCompletedBuild/)<br>[](https://builds.apache.org/job/beam_PostCommit_Java_PVR_Flink_Batch/lastCompletedBuild/)<br>[](https://builds.apache.org/job/beam_PostCommit_Java_PVR_Flink_Streaming/lastCompletedBuild/)
| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Gearpump/lastCompletedBuild/)
| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Samza/lastCompletedBuild/)
| [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Spark/lastCompletedBuild/)
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</br> [](https://builds.apache.org/job/beam_PostCommit_Py_ValCont/lastCompletedBuild/)
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Issue Time Tracking
-------------------
Worklog Id: (was: 192939)
Time Spent: 7h 10m (was: 7h)
> Add bundleSize parameter to control splitting of Spark sources (useful for
> Dynamic Allocation)
> ----------------------------------------------------------------------------------------------
>
> Key: BEAM-4783
> URL: https://issues.apache.org/jira/browse/BEAM-4783
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Affects Versions: 2.8.0
> Reporter: Kyle Winkelman
> Assignee: Kyle Winkelman
> Priority: Major
> Fix For: 2.8.0, 2.9.0
>
> Time Spent: 7h 10m
> Remaining Estimate: 0h
>
> When the spark-runner is used along with the configuration
> spark.dynamicAllocation.enabled=true the SourceRDD does not detect this. It
> then falls back to the value calculated in this description:
> // when running on YARN/SparkDeploy it's the result of max(totalCores,
> 2).
> // when running on Mesos it's 8.
> // when running local it's the total number of cores (local = 1,
> local[N] = N,
> // local[*] = estimation of the machine's cores).
> // ** the configuration "spark.default.parallelism" takes precedence
> over all of the above **
> So in most cases this default is quite small. This is an issue when using a
> very large input file as it will only get split in half.
> I believe that when Dynamic Allocation is enable the SourceRDD should use the
> DEFAULT_BUNDLE_SIZE and possibly expose a SparkPipelineOptions that allows
> you to change this DEFAULT_BUNDLE_SIZE.
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