Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
This post collects some typical pure Python errors in PySpark applications.
object has no attribute
Fix the attribute name.
No such file or directory
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Since a Spark DataFrame is immutable, you cannot update or delete records from a physical table (e.g., a Hive table) directly using Spark DataFrame/SQL API. However …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
TypeError: withReplacement (optional), fraction (required) and seed (optional) should be a bool, float and number; however, got [
].
An integer number (e.g., 1) is passed to the fraction parameter …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
resize Image resampling library in pure Rust. - Fast, with support for many pixel formats - No encoders/decoders, meant to be used with some external library - Tuned for resizing to the …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
When you run Spark or PySpark in a Jupyter/Lab notebook, it is recommended that you show ERROR messages only. Otherwise, there might be too much logging information polluting your notebook. You can set the log level of Spark to ERROR using the following line of code.