Tao Liu created SPARK-32370:
-------------------------------
Summary: pyspark foreach/foreachPartition send http request failed
Key: SPARK-32370
URL: https://issues.apache.org/jira/browse/SPARK-32370
Project: Spark
Issue Type: Question
Components: PySpark
Affects Versions: 3.0.0
Reporter: Tao Liu
I use urllib.request to send http request in foreach/foreachPartition. pyspark
throw error as follow:I use urllib.request to send http request in
foreach/foreachPartition. pyspark throw error as follow:
{color:#de350b}_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)_{color}
_
when i call rdd.foreach(send_http),
rdd=sc.parallelize(["http://192.168.1.1:5000/index.html";]), send_http defined
as follow:
_def send_http(url):_
_req = urllib.request.Request(url)_
_resp = urllib.request.urlopen(req)_
anyone can tell me the problem? thanks.
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