Thank you for your reply
But error was occurred.
Please tell me how to resolve. ..
>>> test = spark.read.csv("test/test.csv")
17/09/19 20:28:45 WARN DataSource: Error while looking for metadata directory.
>>> test.show()
+----+---+-----+------+
| _c0|_c1| _c2| _c3|
+----+---+-----+------+
|null| ,|12,34|1234,5|
+----+---+-----+------+
>>> import re
>>>
>>> from pyspark.sql.functions import UserDefinedFunction
>>>
>>> from pyspark.sql.types import *
>>> udf = UserDefinedFunction(lambda x: re.sub(',','',x), StringType())
>>> new_df = test.select(*[udf(column).alias(column) for column in test.columns])
>>> new_df.collect()
17/09/19 20:29:38 WARN TaskSetManager: Lost task 0.0 in stage 12.0 (TID 30, lxjtddsap048.lixil.lan, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 174, in main
process()
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 220, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 138, in dump_stream
for obj in iterator:
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 209, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 70, in <lambda>
return lambda *a: f(*a)
File "<stdin>", line 1, in <lambda>
File "/usr/lib64/python3.4/re.py", line 179, in sub
return _compile(pattern, flags).sub(repl, string, count)
TypeError: expected string or buffer
at org.apache.spark.api.python.PythonRunner$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:144)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:87)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
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)
17/09/19 20:29:38 ERROR TaskSetManager: Task 0 in stage 12.0 failed 4 times; aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/hdp/current/spark2-client/python/pyspark/sql/dataframe.py", line 391, in collect
port = self._jdf.collectToPython()
File "/usr/hdp/current/spark2-client/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/usr/hdp/current/spark2-client/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/hdp/current/spark2-client/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o529.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 12.0 failed 4 times, most recent failure: Lost task 0.3 in stage 12.0 (TID 33, lxjtddsap048.lixil.lan, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 174, in main
process()
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 220, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 138, in dump_stream
for obj in iterator:
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 209, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 70, in <lambda>
return lambda *a: f(*a)
File "<stdin>", line 1, in <lambda>
File "/usr/lib64/python3.4/re.py", line 179, in sub
return _compile(pattern, flags).sub(repl, string, count)
TypeError: expected string or buffer
at org.apache.spark.api.python.PythonRunner$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:144)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:87)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
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:1435)
at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1965)
at org.apache.spark.rdd.RDD$anonfun$collect$1.apply(RDD.scala:936)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
at org.apache.spark.sql.Dataset$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2760)
at org.apache.spark.sql.Dataset$anonfun$collectToPython$1.apply(Dataset.scala:2757)
at org.apache.spark.sql.Dataset$anonfun$collectToPython$1.apply(Dataset.scala:2757)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2780)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:2757)
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:497)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 174, in main
process()
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 220, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 138, in dump_stream
for obj in iterator:
File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 209, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 70, in <lambda>
return lambda *a: f(*a)
File "<stdin>", line 1, in <lambda>
File "/usr/lib64/python3.4/re.py", line 179, in sub
return _compile(pattern, flags).sub(repl, string, count)
TypeError: expected string or buffer
at org.apache.spark.api.python.PythonRunner$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:144)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$anonfun$doExecute$1.apply(BatchEvalPythonExec.scala:87)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.RDD$anonfun$mapPartitions$1$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
スクリーンショット-2017-09-19-午後202942-午後.png
