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pyspark - pyspark foreach/foreachPartition 发送 http 请求失败

问题描述

我urllib.request用来发送 http 请求foreach/foreachPartition。pyspark抛出错误如下：

objc[74094]: +[__NSPlaceholderDate initialize] may have been in progress in another thread when fork() was called. We cannot safely call it or ignore it in the fork() child process. Crashing instead. Set a breakpoint on objc_initializeAfterForkError to debug.
20/07/20 19:05:58 ERROR Executor: Exception in task 7.0 in stage 0.0 (TID 7)
org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
        at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:536)
            at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:525)
            at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
            at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:643)
            at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:621)
            at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:456)
            at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
            at scala.collection.Iterator.foreach(Iterator.scala:941)
            at scala.collection.Iterator.foreach$(Iterator.scala:941)
            at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
            at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
            at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
            at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
            at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
            at scala.collection.TraversableOnce.to(TraversableOnce.scala:315)
            at scala.collection.TraversableOnce.to$(TraversableOnce.scala:313)
            at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
            at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:307)
            at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:307)
            at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
            at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:294)
            at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:288)
            at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
            at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1004)
            at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)

_

当我打电话时rdd.foreach(send_http), rdd=sc.parallelize(["http://192.168.1.1:5000/index.html"])，

send_http定义如下：

def send_http(url):
    req = urllib.request.Request(url)
    resp = urllib.request.urlopen(req)

谁能告诉我这个问题？谢谢。

标签： pyspark

解决方案

这是@tmylt 在上面评论中的回答，但我也可以确认使用http.client而不是requests.get确实有效。我确信发生这种情况是有原因的，但是使用 python http.client 是一个快速修复。

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