问ExecutorLostFailure (执行程序4由于一个正在运行的任务而退出)原因:丢失的驱动程序堆栈跟踪：

EN

spark_config["spark.executor.memory"] = "32G"
spark_config["spark.executor.memoryOverhead"] = "20G"
spark_config["spark.executor.cores"] = "32"
spark_config["spark.driver.memory"] = "32G"
# spark_config["spark.shuffle.memoryFraction"] = "0" 


# Executor config
spark_config["spark.dyamicAllocation.enable"] = "true"
spark_config["spark.dynamicAllocation.minExecutors"] = "100"
spark_config["spark.dynamicAllocation.maxExecutors"] = "300"

df = spark.read.parquet('file.parquet')
df = df.filter(df.item_id.isNotNull())

X_train, X_test = df.randomSplit([0.8, 0.2]) 
als = ALS(userCol= "cid_int", itemCol= "item_id", ratingCol= "score", rank=10, maxIter=10, seed=0)
model = als.fit(X_train)

Py4JJavaError: An error occurred while calling o194.fit.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 5.0 failed 4 times, most recent failure: Lost task 4.3 in stage 5.0 (TID 160, p13explorpdp01-sw-1zwh.c.wmt-bfdms-p13expprod.internal, executor 4): ExecutorLostFailure (executor 4 exited caused by one of the running tasks) Reason: Slave lost
Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:1926)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1914)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1913)
    at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
    at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1913)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:948)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:948)
    at scala.Option.foreach(Option.scala:407)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:948)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2147)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2096)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2085)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:759)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2076)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2097)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2116)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2141)
    at org.apache.spark.rdd.RDD.count(RDD.scala:1213)
    at org.apache.spark.ml.recommendation.ALS$.train(ALS.scala:932)
    at org.apache.spark.ml.recommendation.ALS.$anonfun$fit$1(ALS.scala:676)
    at org.apache.spark.ml.util.Instrumentation$.$anonfun$instrumented$1(Instrumentation.scala:185)
    at scala.util.Try$.apply(Try.scala:213)
    at org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:185)
    at org.apache.spark.ml.recommendation.ALS.fit(ALS.scala:658)
    at org.apache.spark.ml.recommendation.ALS.fit(ALS.scala:569)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)