为Jupyter Notebook设置Pyspark:工作程序和驱动程序python版本不匹配

Question

我在本地设置和使用pyspark时遇到了困难。

我有一个conda环境，我的jupyter笔记本与之相关。以下是我通过终端安装pyspark后在终端中键入的内容。

pip install pyspark
pip install findspark
which python3.6
export PYSPARK_DRIVER_PYTHON= #results from 'which python3.6'
export PYSPARK_PYTHON=#results from 'which python3.6'
python --version
# result: Python 3.6.12 :: Anaconda, Inc.

java -version
# java version 1.8.0_25
# SE Runtime Environment (build 1.8.0_25-b17)
pyspark
#... spark version 3.0.1, using python version 3.7.4 (deffault)

这是jupyter笔记本中的代码，我正试图开始工作：

import pyspark
from pyspark.sql.types import *
from pyspark import SparkConf, SparkContext
from pyspark.sql import SQLContext
try:
conf = pyspark.SparkConf().set('spark.driver.host','127.0.0.1')
sc = pyspark.SparkContext(master='local', appName='samsApp',conf=conf)
sqlContext = SQLContext(sc)
print("Binding")
except ValueError:
print("Spark session already created")
# below code from stack overflow: how to create pyspark dataframe
cSchema = StructType([StructField("WordList", ArrayType(StringType()))])
test_list = [['Hello', 'world']], [['I', 'am', 'fine']]
df = sqlContext.createDataFrame(test_list,schema=cSchema)
df.show()

上面的最后一行(df.show(((产生了一个错误：

Py4JJavaError: An error occurred while calling o41.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, macbook-pro, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/Users/j.doe/anaconda3/envs/package_env/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 477, in main
("%d.%d" % sys.version_info[:2], version))
Exception: Python in worker has different version 3.7 than that in driver 3.6, PySpark cannot run with different minor versions. Please check environment variables PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON are correctly set.

我应该如何解决这个问题？我不知道如何调整工人与司机的版本。请给我建议，我在网上没有看到对我有用的简单答案。

Answer 1

尝试以下操作：

export PYSPARK_PYTHON=<python path>
export PYSPARK_DRIVER_PYTHON=<jupyter path>
pyspark