Luke Chu created SPARK-32275: -------------------------------- Summary: "None.org.apache.spark.api.java.JavaSparkContext" Issue With Spark-Mllib Algorithm and JDBC Connectors Key: SPARK-32275 URL: https://issues.apache.org/jira/browse/SPARK-32275 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 2.4.4 Environment: Pyspark 2.4.4
Python 3.7 Running on AWS EC2 instances with RHEL. Reporter: Luke Chu While calling a spark-mllib package algorithm, specifically FPGrowth, and passing in a dataframe from a JDBC connector, specifically datastax's spark-cassandra-connector, the following is thrown at the Task level: {code:java} 20/05/29 01:56:07 WARN TaskSetManager: Lost task 96.0 in stage 8.0 (TID 802, 10.168.0.43, executor 0): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 366, in main func, profiler, deserializer, serializer = read_udfs(pickleSer, infile, eval_type) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 241, in read_udfs arg_offsets, udf = read_single_udf(pickleSer, infile, eval_type, runner_conf) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 168, in read_single_udf f, return_type = read_command(pickleSer, infile) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 69, in read_command command = serializer._read_with_length(file) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 172, in _read_with_length return self.loads(obj) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 580, in loads return pickle.loads(obj, encoding=encoding) File "build/bdist.linux-x86_64/egg/zoran_core/_init_.py", line 5, in <module> File "build/bdist.linux-x86_64/egg/zoran_core/config/conf.py", line 17, in <module> File "build/bdist.linux-x86_64/egg/zoran_core/utils/logger.py", line 5, in getSparkLogger File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/session.py", line 173, in getOrCreate sc = SparkContext.getOrCreate(sparkConf) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 367, in getOrCreate SparkContext(conf=conf or SparkConf()) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 136, in _init_ conf, jsc, profiler_cls) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 198, in _do_init self._jsc = jsc or self._initialize_context(self._conf._jconf) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 306, in _initialize_context return self._jvm.JavaSparkContext(jconf) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1525, in _call_ answer, self._gateway_client, None, self._fqn) File "/autoid/spark/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 336, in get_return_value format(target_id, ".", name)) py4j.protocol.Py4JError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456) at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81) at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.agg_doAggregateWithKeys_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$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) {code} Note the py4j.protocol.Py4JError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext . At the top level it is a WARN so execution continues and ultimately succeeds. This doesn't happen when the dataframe passed to the algorithm is read from csv. Also, I suspect this isn't unique to spark-mllib or the spark-cassandra-connector due to this thread: [http://mail-archives.apache.org/mod_mbox/spark-user/201701.mbox/%3ccaohmdzfvxrwzjh6yesiann-lumz467bv3key68-nvzjzeno...@mail.gmail.com%3E] Here the user ran into the same problem using GraphFrames and JDBC connectors it seems. Just in case, this happens at the 'fit' step. {code:java} fp_growth = FPGrowth(itemsCol='feats', \ minSupport=min_support, \ minConfidence=min_confidence, \ numPartitions=num_partitions \ ) model = fp_growth.fit(features_df){code} where features_df is sourced from Cassandra. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org