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November 29, 2017 11:03
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| --------------------------------------------------------------------------- | |
| Py4JJavaError Traceback (most recent call last) | |
| <command-634889928058462> in <module>() | |
| 17 #display(df.limit(5)) | |
| 18 | |
| ---> 19 toCSV = filter(None, list(map(xml_to_dict, xml.collect()))) | |
| 20 keys = toCSV[0].keys() | |
| 21 #print(keys) | |
| /databricks/spark/python/pyspark/rdd.py in collect(self) | |
| 807 """ | |
| 808 with SCCallSiteSync(self.context) as css: | |
| --> 809 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd()) | |
| 810 return list(_load_from_socket(port, self._jrdd_deserializer)) | |
| 811 | |
| /databricks/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args) | |
| 1131 answer = self.gateway_client.send_command(command) | |
| 1132 return_value = get_return_value( | |
| -> 1133 answer, self.gateway_client, self.target_id, self.name) | |
| 1134 | |
| 1135 for temp_arg in temp_args: | |
| /databricks/spark/python/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() | |
| /databricks/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name) | |
| 317 raise Py4JJavaError( | |
| 318 "An error occurred while calling {0}{1}{2}.\n". | |
| --> 319 format(target_id, ".", name), value) | |
| 320 else: | |
| 321 raise Py4JError( | |
| Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. | |
| : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1615 in stage 56.0 failed 4 times, most recent failure: Lost task 1615.3 in stage 56.0 (TID 8786, 10.139.64.7, executor 5): java.lang.IllegalArgumentException: No value for dfs.adls.oauth2.access.token.provider found in conf file. | |
| at com.databricks.adl.AdlFileSystem.getNonEmptyVal(AdlFileSystem.java:734) | |
| at com.databricks.adl.AdlFileSystem.getCustomAccessTokenProvider(AdlFileSystem.java:196) | |
| at com.databricks.adl.AdlFileSystem.getAccessTokenProvider(AdlFileSystem.java:230) | |
| at com.databricks.adl.AdlFileSystem.initialize(AdlFileSystem.java:140) | |
| at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669) | |
| at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) | |
| at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) | |
| at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) | |
| at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) | |
| at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) | |
| at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108) | |
| at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) | |
| at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:251) | |
| at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:250) | |
| at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:208) | |
| at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) | |
| at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) | |
| at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) | |
| at org.apache.spark.scheduler.Task.run(Task.scala:108) | |
| at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:349) | |
| 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$$failJobAndIndependentStages(DAGScheduler.scala:1677) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1665) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1664) | |
| at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) | |
| at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) | |
| at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1664) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:931) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:931) | |
| at scala.Option.foreach(Option.scala:257) | |
| at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:931) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1897) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1848) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1836) | |
| at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) | |
| at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:733) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:2060) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:2081) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:2125) | |
| at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:937) | |
| 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.collect(RDD.scala:936) | |
| at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:178) | |
| at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala) | |
| at sun.reflect.GeneratedMethodAccessor324.invoke(Unknown Source) | |
| 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:380) | |
| at py4j.Gateway.invoke(Gateway.java:293) | |
| at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) | |
| at py4j.commands.CallCommand.execute(CallCommand.java:79) | |
| at py4j.GatewayConnection.run(GatewayConnection.java:226) | |
| at java.lang.Thread.run(Thread.java:748) | |
| Caused by: java.lang.IllegalArgumentException: No value for dfs.adls.oauth2.access.token.provider found in conf file. | |
| at com.databricks.adl.AdlFileSystem.getNonEmptyVal(AdlFileSystem.java:734) | |
| at com.databricks.adl.AdlFileSystem.getCustomAccessTokenProvider(AdlFileSystem.java:196) | |
| at com.databricks.adl.AdlFileSystem.getAccessTokenProvider(AdlFileSystem.java:230) | |
| at com.databricks.adl.AdlFileSystem.initialize(AdlFileSystem.java:140) | |
| at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669) | |
| at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) | |
| at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) | |
| at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) | |
| at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) | |
| at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) | |
| at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108) | |
| at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) | |
| at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:251) | |
| at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:250) | |
| at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:208) | |
| at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) | |
| at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) | |
| at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) | |
| at org.apache.spark.scheduler.Task.run(Task.scala:108) | |
| at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:349) | |
| at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) | |
| at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) | |
| ... 1 more |
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