Dataframe 无法使用customSchema将RDD转换为DF
我无法使用自定义模式将rdd转换为数据帧。详情如下，代码如下：Dataframe 无法使用customSchema将RDD转换为DF,dataframe,pyspark,rdd,Dataframe,Pyspark,Rdd,我无法使用自定义模式将rdd转换为数据帧。详情如下，代码如下： df = spark.read.option("header","true").schema(customSchema).csv("C:/sparkCourse/filetext/part-00000-646a1d36-8f75-4eee-b937-135e933ede7f-c000.csv") 当我使用customSchema时，它可以工作，如下所示： >>> customSchema = StructType
df = spark.read.option("header","true").schema(customSchema).csv("C:/sparkCourse/filetext/part-00000-646a1d36-8f75-4eee-b937-135e933ede7f-c000.csv")
>>> customSchema = StructType([
... StructField("EID",StringType()),\
... StructField("Name",StringType()),\
... StructField("email",StringType()),\
... StructField("Salary",StringType()),\
... StructField("PlaceName",StringType()),\
... StructField("County",StringType()),\
... StructField("City",StringType()),\
... StructField("Gender",StringType())\
... ])
>>>
>>> myDF = spark.createDataFrame(emp1,customSchema)
>>> myDF1 = myDF.withColumn("EID",col("EID").cast("integer")).withColumn("Salary",col("Salary").cast("integer"))
>>> myDF1.show()
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
| EID| Name| email|Salary| PlaceName| County| City|Gender|
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
|111135| Darell T Grizzle|darell.grizzle@ya...|196416| Tallahassee| Leon| Tallahassee| M|
|111159| Deanna Z Nestor|deanna.nestor@gma...|184760| Collegeport| Matagorda| Collegeport| F|
|111160| Marion G Mcqueary|marion.mcqueary@y...|189506| Flensburg| Morrison| Flensburg| M|
|111175| Monserrate D Bentz|monserrate.bentz@...|184412|South Freeport| Cumberland|South Freeport| F|
|111214| Jamie E Spataro|jamie.spataro@gma...|189926| Gilliam| Saline| Gilliam| M|
|111228| Ernest J Woolbright|ernest.woolbright...|194929| Tacoma| Tacoma| Tacoma| M|
|111243| Ivette F Manzanares|ivette.manzanares...|189834| Lemasters| Franklin| Lemasters| F|
|111274| Erwin F Bouchard|erwin.bouchard@ao...|184390| Bessemer City| Gaston| Bessemer City| M|
|111293| Walton E Garza|walton.garza@comc...|198280| Suncook| Merrimack| Suncook| M|
|111316| Jospeh E Holle|jospeh.holle@gmai...|181878| Wagon Mound| Mora| Wagon Mound| M|
|111327| Angelo S Fizer|angelo.fizer@ibm.com|199654| Zelienople| Butler| Zelienople| M|
|111350| Numbers H Luo| numbers.luo@aol.com|198095| Eva| Benton| Eva| M|
|111359| Jim Z Jewett|jim.jewett@gmail.com|198956| Hatchechubbee| Russell| Hatchechubbee| M|
|111396| Edward M Pentecost|edward.pentecost@...|194979| Dayhoit| Harlan| Dayhoit| M|
|111403| Henry F Lawyer|henry.lawyer@appl...|198515| Washington|District of Columbia| Washington| M|
|111442| Manual X Meany|manual.meany@yaho...|196608| Hunter| Cass| Hunter| M|
|111446| Ethan V Folmar|ethan.folmar@yaho...|188581| Ridgeview| Boone| Ridgeview| M|
|111449| Tanja J Sparrow|tanja.sparrow@yah...|195398| Tower City| Cass| Tower City| F|
|111478|Leigha K Courtema...|leigha.courtemanc...|195306| Sun Valley| Blaine| Sun Valley| F|
|111514| Rob F Struck|rob.struck@gmail.com|198750| Centertown| Cole| Centertown| M|
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
only showing top 20 rows
>>> customSchema = StructType([
... StructField("EID",IntegerType()),\
... StructField("Name",StringType()),\
... StructField("email",StringType()),\
... StructField("Salary",IntegerType()),\
... StructField("PlaceName",StringType()),\
... StructField("County",StringType()),\
... StructField("City",StringType()),\
... StructField("Gender",StringType())\
... ])
>>> customSchema = StructType([
... StructField("EID",StringType()),\
... StructField("Name",StringType()),\
... StructField("email",StringType()),\
... StructField("Salary",StringType()),\
... StructField("PlaceName",StringType()),\
... StructField("County",StringType()),\
... StructField("City",StringType()),\
... StructField("Gender",StringType())\
... ])
>>>
>>> myDF = spark.createDataFrame(emp1,customSchema)
>>> myDF1 = myDF.withColumn("EID",col("EID").cast("integer")).withColumn("Salary",col("Salary").cast("integer"))
>>> myDF1.show()
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
| EID| Name| email|Salary| PlaceName| County| City|Gender|
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
|111135| Darell T Grizzle|darell.grizzle@ya...|196416| Tallahassee| Leon| Tallahassee| M|
|111159| Deanna Z Nestor|deanna.nestor@gma...|184760| Collegeport| Matagorda| Collegeport| F|
|111160| Marion G Mcqueary|marion.mcqueary@y...|189506| Flensburg| Morrison| Flensburg| M|
|111175| Monserrate D Bentz|monserrate.bentz@...|184412|South Freeport| Cumberland|South Freeport| F|
|111214| Jamie E Spataro|jamie.spataro@gma...|189926| Gilliam| Saline| Gilliam| M|
|111228| Ernest J Woolbright|ernest.woolbright...|194929| Tacoma| Tacoma| Tacoma| M|
|111243| Ivette F Manzanares|ivette.manzanares...|189834| Lemasters| Franklin| Lemasters| F|
|111274| Erwin F Bouchard|erwin.bouchard@ao...|184390| Bessemer City| Gaston| Bessemer City| M|
|111293| Walton E Garza|walton.garza@comc...|198280| Suncook| Merrimack| Suncook| M|
|111316| Jospeh E Holle|jospeh.holle@gmai...|181878| Wagon Mound| Mora| Wagon Mound| M|
|111327| Angelo S Fizer|angelo.fizer@ibm.com|199654| Zelienople| Butler| Zelienople| M|
|111350| Numbers H Luo| numbers.luo@aol.com|198095| Eva| Benton| Eva| M|
|111359| Jim Z Jewett|jim.jewett@gmail.com|198956| Hatchechubbee| Russell| Hatchechubbee| M|
|111396| Edward M Pentecost|edward.pentecost@...|194979| Dayhoit| Harlan| Dayhoit| M|
|111403| Henry F Lawyer|henry.lawyer@appl...|198515| Washington|District of Columbia| Washington| M|
|111442| Manual X Meany|manual.meany@yaho...|196608| Hunter| Cass| Hunter| M|
|111446| Ethan V Folmar|ethan.folmar@yaho...|188581| Ridgeview| Boone| Ridgeview| M|
|111449| Tanja J Sparrow|tanja.sparrow@yah...|195398| Tower City| Cass| Tower City| F|
|111478|Leigha K Courtema...|leigha.courtemanc...|195306| Sun Valley| Blaine| Sun Valley| F|
|111514| Rob F Struck|rob.struck@gmail.com|198750| Centertown| Cole| Centertown| M|
+------+--------------------+--------------------+------+--------------+--------------------+--------------+------+
only showing top 20 rows
>>> customSchema = StructType([
... StructField("EID",IntegerType()),\
... StructField("Name",StringType()),\
... StructField("email",StringType()),\
... StructField("Salary",IntegerType()),\
... StructField("PlaceName",StringType()),\
... StructField("County",StringType()),\
... StructField("City",StringType()),\
... StructField("Gender",StringType())\
... ])
>>> rdd = sc.textFile("C:/sparkCourse/filetext/part-00000-646a1d36-8f75-4eee-b937-135e933ede7f-c000.csv").map(lambda row: row.split(','))
>>> rdd.take(1)
[['EID', 'Name', 'email', 'Salary', 'PlaceName', 'County', 'City', 'Gender']]
>>> header = rdd.first()
>>> emp = rdd.filter(lambda row: row != header)
>>> emp.take(1)
[['111135', 'Darell T Grizzle', 'darell.grizzle@yahoo.ca', '196416', 'Tallahassee', 'Leon', 'Tallahassee', 'M']]
>>> emp1 = emp.map(lambda fields:[fields[0],fields[1],fields[2],fields[3],fields[4],fields[5],fields[6],fields[7]])
>>> emp1.take(1)
[['111135', 'Darell T Grizzle', 'darell.grizzle@yahoo.ca', '196416', 'Tallahassee', 'Leon', 'Tallahassee', 'M']]
>>>
>>> customSchema = StructType([
... StructField("EID",IntegerType()),\
... StructField("Name",StringType()),\
... StructField("email",StringType()),\
... StructField("Salary",IntegerType()),\
... StructField("PlaceName",StringType()),\
... StructField("County",StringType()),\
... StructField("City",StringType()),\
... StructField("Gender",StringType())\
... ])
>>> myDF = spark.createDataFrame(emp1,customSchema)
>>> myDF.show()
[Stage 47:> (0 + 1) / 1]19/02/08 19:54:21 ERROR Executor: Exception in task 0.0 in stage 47.0 (TID 55)
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229, in main
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224, in process
File "C:\spark\python\lib\pyspark.zip\pyspark\serializers.py", line 372, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "C:\spark\python\pyspark\sql\session.py", line 671, in prepare
verify_func(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1402, in verify_struct
verifier(v)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1347, in verify_integer
verify_acceptable_types(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1310, in verify_acceptable_types
% (dataType, obj, type(obj))))
TypeError: field EID: IntegerType can not accept object '111135' in type <class 'str'>
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$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/02/08 19:54:21 WARN TaskSetManager: Lost task 0.0 in stage 47.0 (TID 55, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229, in main
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224, in process
File "C:\spark\python\lib\pyspark.zip\pyspark\serializers.py", line 372, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "C:\spark\python\pyspark\sql\session.py", line 671, in prepare
verify_func(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1402, in verify_struct
verifier(v)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1347, in verify_integer
verify_acceptable_types(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1310, in verify_acceptable_types
% (dataType, obj, type(obj))))
TypeError: field EID: IntegerType can not accept object '111135' in type <class 'str'>
at org.apache.spark.api.python.BasePythonRunner$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$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/02/08 19:54:21 ERROR TaskSetManager: Task 0 in stage 47.0 failed 1 times; aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\spark\python\pyspark\sql\dataframe.py", line 350, in show
print(self._jdf.showString(n, 20, vertical))
File "C:\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 1160, in __call__
File "C:\spark\python\pyspark\sql\utils.py", line 63, in deco
return f(*a, **kw)
File "C:\spark\python\lib\py4j-0.10.6-src.zip\py4j\protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o1148.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 47.0 failed 1 times, most recent failure: Lost task 0.0 in stage 47.0 (TID 55, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229, in main
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224, in process
File "C:\spark\python\lib\pyspark.zip\pyspark\serializers.py", line 372, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "C:\spark\python\pyspark\sql\session.py", line 671, in prepare
verify_func(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1402, in verify_struct
verifier(v)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1347, in verify_integer
verify_acceptable_types(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1310, in verify_acceptable_types
% (dataType, obj, type(obj))))
TypeError: field EID: IntegerType can not accept object '111135' in type <class 'str'>
at org.apache.spark.api.python.BasePythonRunner$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$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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$$failJobAndIndependentStages(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGScheduler$$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$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:363)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3272)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3253)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3252)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2484)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2698)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:254)
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:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 229, in main
File "C:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 224, in process
File "C:\spark\python\lib\pyspark.zip\pyspark\serializers.py", line 372, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "C:\spark\python\pyspark\sql\session.py", line 671, in prepare
verify_func(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1402, in verify_struct
verifier(v)
File "C:\spark\python\pyspark\sql\types.py", line 1421, in verify
verify_value(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1347, in verify_integer
verify_acceptable_types(obj)
File "C:\spark\python\pyspark\sql\types.py", line 1310, in verify_acceptable_types
% (dataType, obj, type(obj))))
TypeError: field EID: IntegerType can not accept object '111135' in type <class 'str'>
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$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
>>>
>myDF.show（）
[第47阶段：>（0+1）/1]19/02/08 19:54:21错误执行者：第47.0阶段任务0.0中的异常（TID 55）
org.apache.spark.api.python.PythonException:回溯（最近一次调用last）：
文件“C:\spark\python\lib\pyspark.zip\pyspark\worker.py”，第229行，在main中
文件“C:\spark\python\lib\pyspark.zip\pyspark\worker.py”，第224行，正在处理中
文件“C:\spark\python\lib\pyspark.zip\pyspark\serializers.py”，第372行，在dump\u流中
vs=列表（itertools.islice（迭代器，批处理））
文件“C:\spark\python\pyspark\sql\session.py”，第671行，在prepare中
验证功能（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1421行，在verify中
验证_值（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1402行，在verify_struct中
验证者（五）
文件“C:\spark\python\pyspark\sql\types.py”，第1421行，在verify中
验证_值（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1347行，在verify\u integer中
验证可接受的类型（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1310行，在verify\u acceptable\u types中
%（数据类型，obj，类型（obj）））
TypeError:字段EID:IntegerType无法接受类型中的对象“111135”
位于org.apache.spark.api.python.BasePythonRunner$readeriator.handlePythonException（PythonRunner.scala:298）
位于org.apache.spark.api.python.PythonRunner$$anon$1.read（PythonRunner.scala:438）
位于org.apache.spark.api.python.PythonRunner$$anon$1.read（PythonRunner.scala:421）
位于org.apache.spark.api.python.BasePythonRunner$readerierator.hasNext（PythonRunner.scala:252）
在org.apache.spark.interruptblediator.hasNext（interruptblediator.scala:37）
位于scala.collection.Iterator$$anon$12.hasNext（Iterator.scala:439）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$GenerateEditorForCodeGenStage1.processNext（未知源）
位于org.apache.spark.sql.execution.BufferedRowIterator.hasNext（BufferedRowIterator.java:43）
位于org.apache.spark.sql.execution.whisttagecodegenexec$$anonfun$10$$anon$1.hasNext（whisttagecodegenexec.scala:614）
位于org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply（SparkPlan.scala:253）
位于org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply（SparkPlan.scala:247）
位于org.apache.spark.rdd.rdd$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply（rdd.scala:830）
位于org.apache.spark.rdd.rdd$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply（rdd.scala:830）
在org.apache.spark.rdd.MapPartitionsRDD.compute上（MapPartitionsRDD.scala:38）
在org.apache.spark.rdd.rdd.computeOrReadCheckpoint（rdd.scala:324）
位于org.apache.spark.rdd.rdd.iterator（rdd.scala:288）
在org.apache.spark.rdd.MapPartitionsRDD.compute上（MapPartitionsRDD.scala:38）
在org.apache.spark.rdd.rdd.computeOrReadCheckpoint（rdd.scala:324）
位于org.apache.spark.rdd.rdd.iterator（rdd.scala:288）
位于org.apache.spark.scheduler.ResultTask.runTask（ResultTask.scala:87）
位于org.apache.spark.scheduler.Task.run（Task.scala:109）
位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:345）
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149）
位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:624）
运行（Thread.java:748）
19/02/08 19:54:21警告TaskSetManager:在阶段47.0中丢失任务0.0（TID 55，本地主机，执行器驱动程序）：org.apache.spark.api.python异常：回溯（最近一次调用last）：
文件“C:\spark\python\lib\pyspark.zip\pyspark\worker.py”，第229行，在main中
文件“C:\spark\python\lib\pyspark.zip\pyspark\worker.py”，第224行，正在处理中
文件“C:\spark\python\lib\pyspark.zip\pyspark\serializers.py”，第372行，在dump\u流中
vs=列表（itertools.islice（迭代器，批处理））
文件“C:\spark\python\pyspark\sql\session.py”，第671行，在prepare中
验证功能（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1421行，在verify中
验证_值（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1402行，在verify_struct中
验证者（五）
文件“C:\spark\python\pyspark\sql\types.py”，第1421行，在verify中
验证_值（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1347行，在verify\u integer中
验证可接受的类型（obj）
文件“C:\spark\python\pyspark\sql\types.py”，第1310行，在verify\u acceptable\u types中
%（数据类型，obj，类型（obj）））
TypeError:字段EID:IntegerType无法接受类型中的对象“111135”
位于org.apache.spark.api.python.BasePythonRunner$readeriator.handlePythonException（PythonRunner.scala:298）
位于org.apache.spark.api.python.PythonRunner$$anon$1.read（PythonRunner.scala:438）
位于org.apache.spark.api.python.PythonRunner$$anon$1.read（PythonRunner.scala:421）
位于org.apache.spark.api.python.BasePythonRunner$readerierator.hasNext（PythonRunner.scala:252）
在org.apache.spark.interruptblediator.hasNext（interruptblediator.scala:37）
位于scala.collection.Iterator$$anon$12.hasNext（Iterator.scala:439）
在scala.collection.Iterator$$anon$11.has