As the error says clearly, column FL Date has a different format that you
are expecting. Modify you date format mask appropriately
On Wed, 11 Apr 2018 at 5:12 pm, @Nandan@ <nandanpriyadarshi...@gmail.com>
wrote:
> Hi ,
> I am not able to use .map function in Spark.
>
> My codes are as below :-
>
> *1) Create Parse function:-*
>
> from datetime import datetime
> from collections import namedtuple
> fields =
> ('date','airline','flightnum','origin','dest','dep','dep_delay','arv','arv_delay','airtime','distance')
> Flight = namedtuple('Flight',fields,verbose=True)
> DATE_FMT = "%y-%m-%d"
> TIME_FMT = "%H%M"
> def parse(row) :
> row[0] = datetime.strptime(row[0], DATE_FMT).date()
> row[5] = datetime.strptime(row[5], TIME_FMT).time()
> row[6] = float(row[6])
> row[7] = datetime.strptime(row[7], TIME_FMT).time()
> row[8] = float(row[8])
> row[9] = float(row[9])
> row[10] = float(row[10])
> return Flight(*row[:11])
>
> *2) Using Parse to parse my RDD*
>
> flightsParsedMap = flights.map(lambda x: x.split(',')).map(parse)
>
> *3) Checking Parsed RDD *
> flightsParsedMap
> *Output is :- *
>
> *PythonRDD[8] at RDD at PythonRDD.scala:48*
> *4) Checking first row :-*
>
> flightsParsedMap.first()
> Here i am getting issue:-
>
>
>
> ---------------------------------------------------------------------------Py4JJavaError
> Traceback (most recent call
> last)<ipython-input-30-2f844be53361> in <module>()----> 1
> flightsParsedMap.first()
> C:\spark\spark\python\pyspark\rdd.py in first(self) 1374
> ValueError: RDD is empty 1375 """-> 1376 rs = self.take(1)
> 1377 if rs: 1378 return rs[0]
> C:\spark\spark\python\pyspark\rdd.py in take(self, num) 1356 1357
> p = range(partsScanned, min(partsScanned + numPartsToTry, totalParts))->
> 1358 res = self.context.runJob(self, takeUpToNumLeft, p) 1359
> 1360 items += res
> C:\spark\spark\python\pyspark\context.py in runJob(self, rdd, partitionFunc,
> partitions, allowLocal) 999 # SparkContext#runJob. 1000
> mappedRDD = rdd.mapPartitions(partitionFunc)-> 1001 port =
> self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
> 1002 return list(_load_from_socket(port,
> mappedRDD._jrdd_deserializer)) 1003
> C:\spark\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py in
> __call__(self, *args) 1158 answer =
> self.gateway_client.send_command(command) 1159 return_value =
> get_return_value(-> 1160 answer, self.gateway_client,
> self.target_id, self.name) 1161 1162 for temp_arg in temp_args:
> C:\spark\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()
> C:\spark\spark\python\lib\py4j-0.10.6-src.zip\py4j\protocol.py in
> get_return_value(answer, gateway_client, target_id, name) 318
> raise Py4JJavaError( 319 "An error occurred while
> calling {0}{1}{2}.\n".--> 320 format(target_id, ".",
> name), value) 321 else: 322 raise Py4JError(
> Py4JJavaError: An error occurred while calling
> z:org.apache.spark.api.python.PythonRDD.runJob.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 8.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8.0
> (TID 9, localhost, executor driver):
> org.apache.spark.api.python.PythonException: Traceback (most recent call
> last):
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229,
> in main
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224,
> in process
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\serializers.py", line
> 372, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "C:\spark\spark\python\pyspark\rdd.py", line 1354, in takeUpToNumLeft
> yield next(iterator)
> File "<ipython-input-28-35fca1a45bf3>", line 8, in parse
> File "C:\ProgramData\Anaconda3\lib\_strptime.py", line 565, in
> _strptime_datetime
> tt, fraction = _strptime(data_string, format)
> File "C:\ProgramData\Anaconda3\lib\_strptime.py", line 362, in _strptime
> (data_string, format))
> ValueError: time data '"FL_DATE"' does not match format '%y-%m-%d'
>
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
> at
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:438)
> at
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at
> org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at
> org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at
> org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$1.apply(PythonRDD.scala:141)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$1.apply(PythonRDD.scala:141)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> 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$$failJobAndIndependentStages(DAGScheduler.scala:1599)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067)
> at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:141)
> at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
> 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:214)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.api.python.PythonException: Traceback (most
> recent call last):
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229,
> in main
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224,
> in process
> File "C:\spark\spark\python\lib\pyspark.zip\pyspark\serializers.py", line
> 372, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "C:\spark\spark\python\pyspark\rdd.py", line 1354, in takeUpToNumLeft
> yield next(iterator)
> File "<ipython-input-28-35fca1a45bf3>", line 8, in parse
> File "C:\ProgramData\Anaconda3\lib\_strptime.py", line 565, in
> _strptime_datetime
> tt, fraction = _strptime(data_string, format)
> File "C:\ProgramData\Anaconda3\lib\_strptime.py", line 362, in _strptime
> (data_string, format))
> ValueError: time data '"FL_DATE"' does not match format '%y-%m-%d'
>
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
> at
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:438)
> at
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at
> org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at
> org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at
> org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$1.apply(PythonRDD.scala:141)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$1.apply(PythonRDD.scala:141)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> ... 1 more
>
>
>
> Please help me in this . Thanks. Nandan Priyadarshi
>
> --
Best Regards,
Ayan Guha
