PySpark

Browse practical tutorials, references, and fixes in this topic.

Articles10

Updated: 2025-12-12

PySpark UDF Tutorial: How to Use User Defined Functions (with Examples)

Learn how to write and use PySpark UDFs (User Defined Functions) with beginner-friendly examples, return types, null handling, SQL registration, and faster alternatives like built-in functions and Pandas UDFs.

Updated: 2025-12-12

PySpark UDF vs Pandas UDF vs mapInPandas: Which Should You Use?

Compare PySpark UDF, Pandas UDF, and mapInPandas with examples and a decision framework. Learn which approach is fastest, most flexible, and best for your Spark workload.

Updated: 2025-11-27

PySpark DataFrame to List: 5 Best Ways to Convert Rows and Columns to Python Lists

Learn how to convert PySpark DataFrames into Python lists using multiple methods, including toPandas(), collect(), rdd operations, and best-practice approaches for large datasets.

Updated: 2025-11-23

PySpark groupBy and Aggregation: Accurate Summaries at Scale

Learn practical PySpark groupBy patterns, multi-aggregation with aliases, count distinct vs approx, handling null groups, and ordering results.

Updated: 2025-11-23

PySpark Handle Null and NA: Practical Cleaning Recipes

Use fillna, dropna, na.replace, coalesce, and null-safe comparisons to manage missing data in PySpark DataFrames without surprises.

Updated: 2025-11-23

PySpark Joins and Broadcast: Pick the Right Join Every Time

Understand inner/left/right/full/semi/anti joins in PySpark, handle duplicate column names, and know when to broadcast small tables to fix skew.

Updated: 2025-11-23

PySpark Read and Write CSV and Parquet: Reliable IO Guide

Learn how to load and save CSV and Parquet in PySpark with schema control, delimiters, header handling, save modes, and partitioned output.

Updated: 2025-11-23

PySpark Select, Filter, and withColumn: Core DataFrame Recipes

Master selecting columns, filtering rows, conditional columns, selectExpr shortcuts, and safe casting patterns in PySpark DataFrames.

Updated: 2023-08-19

How to Convert PySpark DataFrame Column to Python List?

Learn how to easily convert a PySpark DataFrame column to a Python list using various approaches. Read this comprehensive guide to find the best way to extract the data you need from your PySpark dataframe.

Updated: 2023-08-17

PySpark Drop Column: Efficiently Remove Columns from DataFrames

Discover how to efficiently drop a column in PySpark DataFrame. This guide provides detailed explanations, definitions, and examples to help you master column removal in PySpark.