java.lang.RuntimeException: Unsupported literal type class java.util.ArrayList [1]
This happens in PySpark
when a Python list is provide where a scalar is required.
Assuming id0 is an integer column in the DataFrame df,
the following code throws the above error.
v = [1, 2, 3 …I countered the issue when using PySpark locally
(the issue can happen to a cluster as well).
It turned out to be caused by a misconfiguration of the environment variable JAVA_HOME in Docker.
PySpark: Exception: Java gateway process exited before sending the driver its port number
Sometimes, a structured text file might be malformatted. A simple way to verify it is to count the number of fields in each line.
You can count the number of fields in each line using the following awk command. Unfortunately, awk does not take escaped characters into consideration …
Create a directory (e.g., demo_proj) for your project.
Run gradle init --type scala-library in terminal in the above directory.
Import the directory as a Gradle project in IntelliJ IDEA.
Alternatively,
you can add apply plugin: 'idea' into build.gradle
and then run the command ./gradlew openIdea to …
Please refer to Useful Visual Studio Code Extensions .
File -> Preference -> Settings
Click on Workspace.
Search for Python Path.
Change Python Path to the one you want to use.
It is recommended that you use pip to install Python packages.
If you don't already know the proxy in use (in your company), read the post Find out Proxy in Use to figure it out.
Set proxy environment variables.
set http_proxy=http://user:password@proxy_ip:port
set https_proxy=https://user …