Question

这是我书中的示例代码：

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)

我收到此错误： TypeError：＆＃39; int＆＃39;对象不可迭代

    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

Answer 1

您无法在flatMap对象上使用Int

flatMap可用于集合对象，例如Arrays或list。

您可以在rdd

的RDD[Integer]类型上使用地图功能

numbersRDD = sc.parallelize([1, 2, 3, 4])
actionRDD = numbersRDD.map(lambda x: x + x)

def printing(x):
    print x

actionRDD.foreach(printing)

应打印

pyspark flatmat错误：TypeError：＆＃39; int＆＃39;对象不可迭代

1 个答案: