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[SPARK-16956] Make ApplicationState.MAX_NUM_RETRY configurable #14544

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[SPARK-16956] Make ApplicationState.MAX_NUM_RETRY configurable #14544

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ed12bb7
Add configuration.
JoshRosen Aug 8, 2016
3d539ba
Fix docs.
JoshRosen Aug 8, 2016
d9bab26
Add comment warning of lack of test coverage.
JoshRosen Aug 8, 2016
ef3297d
Update spark-standalone.md
JoshRosen Aug 9, 2016
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2 changes: 0 additions & 2 deletions core/src/main/scala/org/apache/spark/deploy/master/ApplicationState.scala
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Expand Up @@ -22,6 +22,4 @@ private[master] object ApplicationState extends Enumeration {
type ApplicationState = Value

val WAITING, RUNNING, FINISHED, FAILED, KILLED, UNKNOWN = Value

val MAX_NUM_RETRY = 10
}
7 changes: 6 additions & 1 deletion core/src/main/scala/org/apache/spark/deploy/master/Master.scala
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Expand Up @@ -58,6 +58,7 @@ private[deploy] class Master(
private val RETAINED_DRIVERS = conf.getInt("spark.deploy.retainedDrivers", 200)
private val REAPER_ITERATIONS = conf.getInt("spark.dead.worker.persistence", 15)
private val RECOVERY_MODE = conf.get("spark.deploy.recoveryMode", "NONE")
private val MAX_EXECUTOR_RETRIES = conf.getInt("spark.deploy.maxExecutorRetries", 10)

val workers = new HashSet[WorkerInfo]
val idToApp = new HashMap[String, ApplicationInfo]
Expand Down Expand Up @@ -265,7 +266,11 @@ private[deploy] class Master(

val normalExit = exitStatus == Some(0)
// Only retry certain number of times so we don't go into an infinite loop.
if (!normalExit && appInfo.incrementRetryCount() >= ApplicationState.MAX_NUM_RETRY) {
// Important note: this code path is not exercised by tests, so be very careful when
// changing this `if` condition.
if (!normalExit
&& appInfo.incrementRetryCount() >= MAX_EXECUTOR_RETRIES
&& MAX_EXECUTOR_RETRIES >= 0) { // < 0 disables this application-killing path
val execs = appInfo.executors.values
if (!execs.exists(_.state == ExecutorState.RUNNING)) {
logError(s"Application ${appInfo.desc.name} with ID ${appInfo.id} failed " +
Expand Down
15 changes: 15 additions & 0 deletions docs/spark-standalone.md
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Expand Up @@ -195,6 +195,21 @@ SPARK_MASTER_OPTS supports the following system properties:
the whole cluster by default. <br/>
</td>
</tr>
<tr>
<td><code>spark.deploy.maxExecutorRetries</code></td>
<td>10</td>
<td>
Limit on the maximum number of back-to-back executor failures that can occur before the
standalone cluster manager removes a faulty application. An application will never be removed
if it has any running executors. If an application experiences more than
<code>spark.deploy.maxExecutorRetries</code> failures in a row, no executors
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Does "in a row" mean anything here?

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Yes: if you have a sequence of executor events like FAIL RUNNING FAIL RUNNING ... then this resets the retry count, whereas FAIL FAIL FAIL FAIL... increments it.

successfully start running in between those failures, and the application has no running
executors then the standalone cluster manager will remove the application and mark it as failed.
To disable this automatic removal, set <code>spark.deploy.maxExecutorRetries</code> to
<code>-1</code>.
<br/>
</td>
</tr>
<tr>
<td><code>spark.worker.timeout</code></td>
<td>60</td>
Expand Down