Shixiong Zhu created SPARK-31923:
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Summary: Event log cannot be generated when some internal
accumulators use unexpected types
Key: SPARK-31923
URL: https://issues.apache.org/jira/browse/SPARK-31923
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.4.6
Reporter: Shixiong Zhu
A user may use internal accumulators by adding the "internal.metrics." prefix
to the accumulator name to hide sensitive information from UI (Accumulators
will be shown in Spark UI by default). However,
org.apache.spark.util.JsonProtocol.accumValueToJson assumes an internal
accumulator has only 3 possible types: int, long, and java.util.List[(BlockId,
BlockStatus)]. When an internal accumulator uses an unexpected type, it will
crash.
It's better to make accumValueToJson more robust.
How to reproduce it:
- Enable Spark event log
- Run the following command:
{code}
scala> val accu = sc.doubleAccumulator("internal.metrics.foo")
accu: org.apache.spark.util.DoubleAccumulator = DoubleAccumulator(id: 0, name:
Some(internal.metrics.foo), value: 0.0)
scala> sc.parallelize(1 to 1, 1).foreach { _ => accu.add(1.0) }
20/06/06 16:11:27 ERROR AsyncEventQueue: Listener EventLoggingListener threw an
exception
java.lang.ClassCastException: java.lang.Double cannot be cast to java.util.List
at
org.apache.spark.util.JsonProtocol$.accumValueToJson(JsonProtocol.scala:330)
at
org.apache.spark.util.JsonProtocol$$anonfun$accumulableInfoToJson$3.apply(JsonProtocol.scala:306)
at
org.apache.spark.util.JsonProtocol$$anonfun$accumulableInfoToJson$3.apply(JsonProtocol.scala:306)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.util.JsonProtocol$.accumulableInfoToJson(JsonProtocol.scala:306)
at
org.apache.spark.util.JsonProtocol$$anonfun$accumulablesToJson$2.apply(JsonProtocol.scala:299)
at
org.apache.spark.util.JsonProtocol$$anonfun$accumulablesToJson$2.apply(JsonProtocol.scala:299)
at scala.collection.immutable.List.map(List.scala:284)
at
org.apache.spark.util.JsonProtocol$.accumulablesToJson(JsonProtocol.scala:299)
at
org.apache.spark.util.JsonProtocol$.taskInfoToJson(JsonProtocol.scala:291)
at
org.apache.spark.util.JsonProtocol$.taskEndToJson(JsonProtocol.scala:145)
at
org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:76)
at
org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:138)
at
org.apache.spark.scheduler.EventLoggingListener.onTaskEnd(EventLoggingListener.scala:158)
at
org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
at
org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
at
org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
at
org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:91)
at
org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$super$postToAll(AsyncEventQueue.scala:92)
at
org.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply$mcJ$sp(AsyncEventQueue.scala:92)
at
org.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:87)
at
org.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:87)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:87)
at
org.apache.spark.scheduler.AsyncEventQueue$$anon$1$$anonfun$run$1.apply$mcV$sp(AsyncEventQueue.scala:83)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1302)
at
org.apache.spark.scheduler.AsyncEventQueue$$anon$1.run(AsyncEventQueue.scala:82)
{code}
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