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-rw-r--r--core/src/main/scala/spark/SimpleJob.scala37
1 files changed, 37 insertions, 0 deletions
diff --git a/core/src/main/scala/spark/SimpleJob.scala b/core/src/main/scala/spark/SimpleJob.scala
index d982a75ba0..bf881fb2d4 100644
--- a/core/src/main/scala/spark/SimpleJob.scala
+++ b/core/src/main/scala/spark/SimpleJob.scala
@@ -60,6 +60,15 @@ extends Job(jobId) with Logging
var failed = false
var causeOfFailure = ""
+ // How frequently to reprint duplicate exceptions in full, in milliseconds
+ val EXCEPTION_PRINT_INTERVAL = System.getProperty("spark.logging.exceptionPrintInterval", "10000").toLong
+ // Map of recent exceptions (identified by string representation and
+ // top stack frame) to duplicate count (how many times the same
+ // exception has appeared) and time the full exception was
+ // printed. This should ideally be an LRU map that can drop old
+ // exceptions automatically.
+ val recentExceptions = HashMap[String, (Int, Long)]()
+
// Add all our tasks to the pending lists. We do this in reverse order
// of task index so that tasks with low indices get launched first.
for (i <- (0 until numTasks).reverse) {
@@ -229,6 +238,34 @@ extends Job(jobId) with Logging
if (tasksFinished == numTasks)
sched.jobFinished(this)
return
+ case ef: ExceptionFailure =>
+ val key = ef.exception.toString
+ val now = System.currentTimeMillis
+ val (printFull, dupCount) =
+ if (recentExceptions.contains(key)) {
+ val (dupCount, printTime) = recentExceptions(key)
+ if (now - printTime > EXCEPTION_PRINT_INTERVAL) {
+ recentExceptions(key) = (0, now)
+ (true, 0)
+ } else {
+ recentExceptions(key) = (dupCount + 1, printTime)
+ (false, dupCount + 1)
+ }
+ } else {
+ recentExceptions += Tuple(key, (0, now))
+ (true, 0)
+ }
+
+ if (printFull) {
+ val stackTrace =
+ for (elem <- ef.exception.getStackTrace)
+ yield "\tat %s".format(elem.toString)
+ logInfo("Loss was due to %s\n%s".format(
+ ef.exception.toString, stackTrace.mkString("\n")))
+ } else {
+ logInfo("Loss was due to %s [duplicate %d]".format(
+ ef.exception.toString, dupCount))
+ }
case _ => {}
}
}