Как исправить Py4jjavaerror при использовании als в python - PullRequest
0 голосов
/ 18 октября 2019

Я хочу применить ALS с искрой в python, но когда я тренирую модель, возникает ошибка py4jjavaerror, версия java - 8, а версия python - 3.6, версия pyspark - 2.4.4

IЯ пробовал понизить Java, установить Java в Конде, изменить JAVA_HOME, но ни один из них не работает.

Вот мои данные:

+------+-------+------+
|userId|movieId|rating|
+------+-------+------+
|     1|     47|   3.5|
|     1|     50|   3.5|
|     1|    112|   3.5|
|     1|    151|   4.0|
+------+-------+------+

и коды:

als = ALS(userCol = 'userId', itemCol = 'movieId',ratingCol = 'rating',
                rank = 2, maxIter = 15, regParam = 0.05,alpha = 40,
               nonnegative = True, coldStartStrategy = 'drop',
               implicitPrefs = False)
---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<ipython-input-33-5faeaf3fb0d8> in <module>
      1 # train the model
----> 2 model = als.fit(ds)

/opt/anaconda3/lib/python3.7/site-packages/pyspark/ml/base.py in fit(self, dataset, params)
    130                 return self.copy(params)._fit(dataset)
    131             else:
--> 132                 return self._fit(dataset)
    133         else:
    134             raise ValueError("Params must be either a param map or a list/tuple of param maps, "

/opt/anaconda3/lib/python3.7/site-packages/pyspark/ml/wrapper.py in _fit(self, dataset)
    293 
    294     def _fit(self, dataset):
--> 295         java_model = self._fit_java(dataset)
    296         model = self._create_model(java_model)
    297         return self._copyValues(model)

/opt/anaconda3/lib/python3.7/site-packages/pyspark/ml/wrapper.py in _fit_java(self, dataset)
    290         """
    291         self._transfer_params_to_java()
--> 292         return self._java_obj.fit(dataset._jdf)
    293 
    294     def _fit(self, dataset):

/opt/anaconda3/lib/python3.7/site-packages/py4j/java_gateway.py in __call__(self, *args)
   1255         answer = self.gateway_client.send_command(command)
   1256         return_value = get_return_value(
-> 1257             answer, self.gateway_client, self.target_id, self.name)
   1258 
   1259         for temp_arg in temp_args:

/opt/anaconda3/lib/python3.7/site-packages/pyspark/sql/utils.py in deco(*a, **kw)
     61     def deco(*a, **kw):
     62         try:
---> 63             return f(*a, **kw)
     64         except py4j.protocol.Py4JJavaError as e:
     65             s = e.java_exception.toString()

/opt/anaconda3/lib/python3.7/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
--> 328                     format(target_id, ".", name), value)
    329             else:
    330                 raise Py4JError(

Py4JJavaError: An error occurred while calling o42.fit.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): org.apache.spark.SparkException: 
Error from python worker:
  Traceback (most recent call last):
    File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/runpy.py", line 183, in _run_module_as_main
      mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
    File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/runpy.py", line 109, in _get_module_details
      __import__(pkg_name)
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/__init__.py", line 51, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 31, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/accumulators.py", line 97, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 71, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/cloudpickle.py", line 145, in <module>
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/cloudpickle.py", line 126, in _make_cell_set_template_code
  TypeError: an integer is required (got type bytes)
PYTHONPATH was:
  /Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip:/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip:/Users/ziyi./spark-2.4.4-bin-hadoop2.7/jars/spark-core_2.11-2.4.4.jar:/usr/local/Cellar/apache-spark/2.1.0/libexec//python/lib/py4j-0.10.4-src.zip:/usr/local/Cellar/apache-spark/2.1.0/libexec//python:/usr/local/Cellar/apache-spark/2.1.0/libexec//python/build:
org.apache.spark.SparkException: No port number in pyspark.daemon's stdout
    at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:204)
    at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:122)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:95)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:109)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:123)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
    at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1364)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
    at org.apache.spark.rdd.RDD.take(RDD.scala:1337)
    at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply$mcZ$sp(RDD.scala:1472)
    at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply(RDD.scala:1472)
    at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply(RDD.scala:1472)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
    at org.apache.spark.rdd.RDD.isEmpty(RDD.scala:1471)
    at org.apache.spark.ml.recommendation.ALS$.train(ALS.scala:919)
    at org.apache.spark.ml.recommendation.ALS$$anonfun$fit$1.apply(ALS.scala:676)
    at org.apache.spark.ml.recommendation.ALS$$anonfun$fit$1.apply(ALS.scala:658)
    at org.apache.spark.ml.util.Instrumentation$$anonfun$11.apply(Instrumentation.scala:185)
    at scala.util.Try$.apply(Try.scala:192)
    at org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:185)
    at org.apache.spark.ml.recommendation.ALS.fit(ALS.scala:658)
    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)
Caused by: org.apache.spark.SparkException: 
Error from python worker:
  Traceback (most recent call last):
    File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/runpy.py", line 183, in _run_module_as_main
      mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
    File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/runpy.py", line 109, in _get_module_details
      __import__(pkg_name)
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/__init__.py", line 51, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 31, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/accumulators.py", line 97, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 71, in <module>
    File "<frozen importlib._bootstrap>", line 991, in _find_and_load
    File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
    File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
    File "<frozen importlib._bootstrap>", line 618, in _load_backward_compatible
    File "<frozen zipimport>", line 259, in load_module
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/cloudpickle.py", line 145, in <module>
    File "/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/cloudpickle.py", line 126, in _make_cell_set_template_code
  TypeError: an integer is required (got type bytes)
PYTHONPATH was:
  /Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip:/Users/ziyi./spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip:/Users/ziyi./spark-2.4.4-bin-hadoop2.7/jars/spark-core_2.11-2.4.4.jar:/usr/local/Cellar/apache-spark/2.1.0/libexec//python/lib/py4j-0.10.4-src.zip:/usr/local/Cellar/apache-spark/2.1.0/libexec//python:/usr/local/Cellar/apache-spark/2.1.0/libexec//python/build:
org.apache.spark.SparkException: No port number in pyspark.daemon's stdout
    at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:204)
    at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:122)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:95)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:109)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:123)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more
...