pyspark 如果是 2.4.x 版本以及 python 环境是 3.8 时,会报 TypeError: an integer is required (got type bytes) 错误,那如何 fix 该 error 呢。 1错误信息 2原因及解决方法 错误信息 错误信息可能如下: Traceback (most recent call last): File "/xxx/xxx/xxx
TypeError:an integer is required(got type bytes) 因为spark还不支持python3.8,所以需要将python版本将到3.7以下,本次我用了python3.6.6,完美解决
File"/opt/module/spark/python/pyspark/cloudpickle.py", line127,in_make_cell_set_template_codereturntypes.CodeType( TypeError: an integerisrequired (got type bytes) 解决办法:降低pyspark使用的python版本。可以更改系统默认python版本,也可以在spark-env.sh中添加如 export PYSPARK_PYTHON=/usr/bin/python2....
报错1: Python was not found but can be installed from the Microsoft Store: https:// 报错2: Python worker failed to connect back和an integer is required 【问题分析】 一开始以为是python版本与pyspark版本兼容问题,所以用conda分别弄了python3.6、python3.8.8、python3.8.13,分别结合pyspark2.x 、pyspark...
如何修复“TypeError：一个整数是必需的(得到类型字节)'错误当试图运行pyspark后安装Spark2.4.4发生这种...
错误4TypeError: an integer is required (got type bytes) 上网查找原因他们说 spark2.4.4不支持python3.8,只需要另外安装python3.8一下的版本。选择python3.8以下的解释器运行这个文件就可以了 关于如何安装python可以参考别的博客 () 接着一顿操作,安装完python,重新配置linux下的python环境。选择python3.8以下的解释...
TypeError: an integer is required 如何解决?非常感谢:) 请您参考如下方法: 您将SparkColumn类型传递给dt.time,因此dt.time引发TypeError。您需要将 python 函数包装到用户定义函数 (UDF) 中,以将类型Column传递给 python 函数: import pandas as pd
I chose to create the EC2 instance in my default VPC. Part of the demonstration includes connecting to Presto locally using JDBC. Therefore, it was also necessary to include a public IP address for the EC2 instance. If you chose to do so, I strongly recommend limiting the required ports22...
root |-- Country: string (nullable = true) |-- Age: integer (nullable = true) |-- Repeat_Visitor: integer (nullable = true) |-- Platform: string (nullable = true) |-- Web_pages_viewed: integer (nullable = true) |-- Status: integer (nullable = true) (None, ['Country', 'Age...
#把datetime转成字符串 def datetime_toString(dt): return dt.strftime("%Y-%m-%d-%H") #把...