pyspark设置了环境变量,调用python函数就报错,求指点(已解决)

弱弱问下,我设置了环境变量,但是运行就报错,是哪里错了啊? 求指点~~拜谢

问题解决了,是python版本问题,版本高了,我降了版本就正常了谢谢大家

代码如下

from pyspark import SparkConf, SparkContext
import os
os.environ['PYSPARK_PYTHON'] = "E:/Python_code/pythonProject/.venv/Scripts/python.exe"
# 创建SparkConf类对象
conf = SparkConf().setMaster("local[*]").setAppName("test_spark_app")
# 基于SparkConf类对象创建SparkContext对象
sc = SparkContext(conf=conf)
# 打印spark版本信息
# print(sc.version)
rdd = sc.parallelize([1, 2, 3, 4])
print(rdd.collect())
print(rdd.map(lambda x: x * 10).collect())
# 停止SparkContext对象的运行
sc.stop()

报错信息:

24/02/22 09:36:38 ERROR Executor: Exception in task 5.0 in stage 1.0 (TID 25)

org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594)

at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)

at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789)

at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)

at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)

at scala.collection.Iterator.foreach(Iterator.scala:943)

at scala.collection.Iterator.foreach$(Iterator.scala:943)

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:366)

at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)

at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)

at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)

at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)

at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)

at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)

at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)

at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)

at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1046)

at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)

at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)

at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)

at org.apache.spark.scheduler.Task.run(Task.scala:141)

at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)

at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)

at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)

at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)

at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

at java.lang.Thread.run(Thread.java:748)

Caused by: java.io.EOFException

at java.io.DataInputStream.readInt(DataInputStream.java:392)

at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)

... 32 more

24/02/22 09:36:38 WARN TaskSetManager: Lost task 5.0 in stage 1.0 (TID 25) (GYG-LZC executor driver): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)