You can use the following steps to include an HDFS spark jar file in a Python Jupyter notebook using the "spark addJar" command:
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("JarTest").getOrCreate()
spark.sparkContext.addJar("/path/to/jar/file")
Make sure to replace "/path/to/jar/file" with the actual path to the jar file on your system.
from com.example.myjarfile import MyJarClass
my_object = MyJarClass()
my_object.do_something()
Here, "com.example.myjarfile" is the package name for the jar file, "MyJarClass" is the name of the class you want to use, and "do_something()" is a method provided by the class.
That's it! You have now added an HDFS spark jar file to your Python Jupyter notebook and can use its classes and functions in your code.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2022-03-03 11:00:00 +0000
Seen: 11 times
Last updated: Jul 04 '21
How do you log Python data into a database?
How can SQL/PLSQL blocks be stripped of their comments?
What is the method for programmatic access to a time series?
What is the process of using SQLAlchemy ORM and cloud spanner to read rows as model objects?
What is the method to retrieve the JSON data from a column in SQL?
How can I set up Gunicorn with a Django Project?
Looking for a Python Module that finds Tags for a Text describing its Content
Need a Function in Python to remove entries less than 2 digits from an Array