如何在Jupyter Notebook调试中PySpark代码 [英] How to PySpark Codes in Debug Jupyter Notebook
问题描述
我想知道我可以在Jpyter笔记本中调试pyspark代码吗？我已经尝试使用ipdb模块在Jupyter中针对常规python代码解决方案。
I am wondering I can debug pyspark codes in Jpyter notebook? I have tried the solution for regular python codes in Jupyter using ipdb module.
但是它不能与带有pyspark内核的笔记本一起使用。.
But it is not working in with notebook with pyspark kernel..
请注意：我的问题是关于在Jupypter笔记本中而不是在ItelliJ IDE或任何其他python IDE中调试pyspark。
Please note that: My question is about debugging pyspark within Jupypter notebook and not in ItelliJ IDE or any other python IDEs.
背景：
- 我在MacOS优胜美地上。
- 我的Spark版本是1.6.2
- Jupyter内核是：Apache Toree PySpark
- 我有ipdb
- I am on MacOS yosemite.
- My spark version is 1.6.2
- Jupyter kernel is:Apache Toree PySpark
- I have ipdb installed.
任何帮助将不胜感激。
推荐答案
如果您想在Jyupter笔记本中玩耍并调试PySpark代码，请在安装并设置Spark之后（在此处向您展示如何操作的好指南： https://blog.sicara.com/get-started-pyspark-jupyter-guide-tutorial-ae2fe84f594f ），您可以导入SparkSession并创建本地实例：
In Jyupter notebook if you want to play around and debug PySpark code, once Spark is installed and set up (good guide to show you how here: https://blog.sicara.com/get-started-pyspark-jupyter-guide-tutorial-ae2fe84f594f) you can import SparkSession and create a local instance:
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local[1]").appName("pyspark-test").getOrCreate()
df = spark.read.csv("test.csv", header=True)
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