问题
This is the sample example code in my book:
from pyspark import SparkConf, SparkContext
conf = SparkConf().setMaster("spark://chetan-ThinkPad-
E470:7077").setAppName("FlatMap")
sc = SparkContext(conf=conf)
numbersRDD = sc.parallelize([1, 2, 3, 4])
actionRDD = numbersRDD.flatMap(lambda x: x + x).collect()
for values in actionRDD:
print(values)
I am getting this error: TypeError: 'int' object is not iterable
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
回答1:
You cannot use flatMap
on an Int
object
flatMap
can be used in collection objects such as Arrays
or list
.
You can use map function on the rdd
type that you have RDD[Integer]
numbersRDD = sc.parallelize([1, 2, 3, 4])
actionRDD = numbersRDD.map(lambda x: x + x)
def printing(x):
print x
actionRDD.foreach(printing)
which should print
2
4
6
8
来源:https://stackoverflow.com/questions/49189097/pyspark-flatmat-error-typeerror-int-object-is-not-iterable