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[SPARK-10739][Yarn] Add application attempt window for Spark on Yarn #8857

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[SPARK-10739][Yarn] Add application attempt window for Spark on Yarn #8857

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caca695
Add application attempt window for Spark on Yarn
jerryshao Sep 21, 2015
1c9afd0
Address the comments
jerryshao Oct 10, 2015
7f9b77d
Style change
jerryshao Oct 10, 2015
36eabdc
change the doc
jerryshao Oct 10, 2015
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9 changes: 9 additions & 0 deletions docs/running-on-yarn.md
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Expand Up @@ -303,6 +303,15 @@ If you need a reference to the proper location to put log files in the YARN so t
It should be no larger than the global number of max attempts in the YARN configuration.
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</tr>
<tr>
<td><code>spark.yarn.am.attemptFailuresValidityInterval</code></td>
<td>(none)</td>
<td>
Defines the validity interval for AM failure tracking.
If the AM has been running for at least defined interval, the AM failure count will be reset.
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"at least the defined..."

This feature is not enabled if not configured, and only supported in Hadoop 2.6+.
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<tr>
<td><code>spark.yarn.submit.waitAppCompletion</code></td>
<td><code>true</code></td>
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14 changes: 14 additions & 0 deletions yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
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Expand Up @@ -185,6 +185,20 @@ private[spark] class Client(
case None => logDebug("spark.yarn.maxAppAttempts is not set. " +
"Cluster's default value will be used.")
}

if (sparkConf.contains("spark.yarn.am.attemptFailuresValidityInterval")) {
try {
val interval = sparkConf.getTimeAsMs("spark.yarn.am.attemptFailuresValidityInterval")
val method = appContext.getClass().getMethod(
"setAttemptFailuresValidityInterval", classOf[Long])
method.invoke(appContext, interval: java.lang.Long)
} catch {
case e: NoSuchMethodException =>
logWarning("Ignoring spark.yarn.am.attemptFailuresValidityInterval because the version " +
"of YARN does not support it")
}
}

val capability = Records.newRecord(classOf[Resource])
capability.setMemory(args.amMemory + amMemoryOverhead)
capability.setVirtualCores(args.amCores)
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