koresss
commented
2 years ago I commented out log4j from the scala code entirely and now it loads properly.
Closed koresss closed 2 years ago
koresss
commented
2 years ago I commented out log4j from the scala code entirely and now it loads properly.
Hello, I have saved a trained model and upon trying to load it I get the following error: https://pastebin.com/raw/jG2BRSwV
`Traceback (most recent call last): File "/home/orestisk/Downloads/Netflow pipeline/distributed_netflow_inference.py", line 308, in
runPipeline(df)
File "/home/orestisk/Downloads/Netflow pipeline/distributed_netflow_inference.py", line 168, in runPipeline
model=IForestModel.load('spark_netflow_pickled_files/iforest')
File "/home/orestisk/Downloads/venv/lib/python3.8/site-packages/pyspark/python/lib/pyspark.zip/pyspark/ml/util.py", line 332, in load
File "/home/orestisk/Downloads/venv/lib/python3.8/site-packages/pyspark_iforest/ml/iforest.py", line 95, in load
java_obj = self._jread.load(path)
File "/home/orestisk/Downloads/venv/lib/python3.8/site-packages/pyspark/python/lib/py4j-0.10.9.2-src.zip/py4j/java_gateway.py", line 1309, in call
File "/home/orestisk/Downloads/venv/lib/python3.8/site-packages/pyspark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 111, in deco
File "/home/orestisk/Downloads/venv/lib/python3.8/site-packages/pyspark/python/lib/py4j-0.10.9.2-src.zip/py4j/protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o629.load.
: org.apache.spark.SparkException: Task not serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:416)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:406)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2477)
at org.apache.spark.rdd.RDD.$anonfun$map$1(RDD.scala:422)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.map(RDD.scala:421)
at org.apache.spark.ml.iforest.IForestModel$.org$apache$spark$ml$iforest$IForestModel$$loadTreeNodes(IForest.scala:245)
at org.apache.spark.ml.iforest.IForestModel$IForestModelReader.load(IForest.scala:305)
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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.NotSerializableException: org.apache.log4j.Logger
Serialization stack:
Is there some workaround to this? The README Python API example also fails on IForestModel.load. I am using spark 3.2, here is also my pom.xml https://pastebin.com/raw/excYS1v6
Edit: I tried spark 3.0 and I'm getting the same error