在安装anaconda3和spark（2.3.2）之后，我尝试运行示例pyspark代码。
这只是一个示例程序，我正在运行Jupyter，我得到一个错误，如
Python工作线程无法重新连接。
根据堆栈溢出中的以下问题：
Python worker failed to connect back
我可以看到这样的解决方案我得到了同样的错误。我解决了它安装以前版本的Spark（2. 3而不是2. 4）。现在它工作得很完美，也许是最新版本的PysPark的问题。
但我用的是spark 2.3.1版，python是3.7版
我仍然面临着这个问题。请帮助我解决这个错误

from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("mySparkApp").getOrCreate()
testData=spark.sparkContext.parallelize([3,8,2,5])
testData.count()

回溯为：

Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 1.0 failed 1 times, most recent failure: Lost task 2.0 in stage 1.0 (TID 6, localhost, executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)