[SPARK-32604] Bug in ALSModel Python Documentation - ASF JIRA

Details

Type: Bug
Status: Resolved
Priority: Minor
Resolution: Duplicate
Affects Version/s: 2.4.0, 3.0.0
Fix Version/s: None
Component/s: Documentation, PySpark
Labels:
None

Description

In the ALSModel documentation (https://spark.apache.org/docs/latest/ml-collaborative-filtering.html), there is a bug which causes data frame creation to fail with the following error:

Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0 (TID 15, 10.0.0.133, executor 10): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in main
    process()
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 367, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 390, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/lib/spark/python/pyspark/rdd.py", line 1354, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
    return f(*args, **kwargs)
  File "<ipython-input-5-86574b26abad>", line 24, in <lambda>
NameError: name 'long' is not defined

	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592)
	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:575)
	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
	at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
	at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
	at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
	at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
	at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:153)
	at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:153)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2121)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2121)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:121)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:407)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1408)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:413)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1890)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1878)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1877)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
	at scala.Option.foreach(Option.scala:257)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:929)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2111)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2060)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2049)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:740)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2081)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2102)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2121)
	at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:153)
	at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
	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:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in main
    process()
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 367, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 390, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/lib/spark/python/pyspark/rdd.py", line 1354, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
    return f(*args, **kwargs)
  File "<ipython-input-5-86574b26abad>", line 24, in <lambda>
NameError: name 'long' is not defined

	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592)
	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:575)
	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
	at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
	at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
	at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
	at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
	at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:153)
	at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:153)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2121)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2121)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:121)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:407)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1408)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:413)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	... 1 more

To replicate the error try to train an ALSModel with the documentation code.

To fix, change "long" to "int" in the following line:

ratingsRDD = parts.map(lambda p: Row(userId=int(p[0]), movieId=int(p[1]),
 rating=float(p[2]), timestamp=long(p[3])))

The referenced example code already has this change, but it has not been updated in the documentation:

https://github.com/apache/spark/blob/master/examples/src/main/python/ml/als_example.py

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duplicates

SPARK-32138 Drop Python 2, 3.4 and 3.5 in codes and documentation

Resolved

Bug in ALSModel Python Documentation

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