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https://issues.apache.org/jira/browse/BEAM-5532?focusedWorklogId=151499&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-151499
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ASF GitHub Bot logged work on BEAM-5532:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Oct/18 05:36
Start Date: 05/Oct/18 05:36
Worklog Time Spent: 10m
Work Description: jbonofre closed pull request #6568: [BEAM-5532] Update
Spark runner to Spark version 2.3.2
URL: https://github.com/apache/beam/pull/6568
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):
diff --git
a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy
b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy
index 454eb025c05..648424d5cc9 100644
--- a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy
+++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy
@@ -312,7 +312,7 @@ class BeamModulePlugin implements Plugin<Project> {
def hamcrest_version = "1.3"
def hadoop_version = "2.7.3"
def jackson_version = "2.9.5"
- def spark_version = "2.3.1"
+ def spark_version = "2.3.2"
def apex_core_version = "3.7.0"
def apex_malhar_version = "3.4.0"
def postgres_version = "42.2.2"
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Issue Time Tracking
-------------------
Worklog Id: (was: 151499)
Time Spent: 50m (was: 40m)
> Update Spark runner to Spark version 2.3.2
> ------------------------------------------
>
> Key: BEAM-5532
> URL: https://issues.apache.org/jira/browse/BEAM-5532
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Ismaël Mejía
> Assignee: Ismaël Mejía
> Priority: Minor
> Fix For: 2.8.0
>
> Time Spent: 50m
> Remaining Estimate: 0h
>
> Latest release of Spark runner seems to fix some data corruption bugs
> including SPARK-23243, So worth the upgrade even if the dependency is mostly
> provided for our use case.
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