09 | Read JSON Files in Spark | Handle Single-Line and Multi-Line JSON in PySpark
In this video, we’ll explore how to read and write JSON files in Apache Spark using PySpark on Databricks. You’ll learn how to handle both single-line and multi-line JSON formats and how to write DataFrames into JSON and CSV files efficiently.
What you’ll learn:
What is JSON (JavaScript Object Notation) and how it’s structured
Difference between single-line and multi-line JSON files
Reading JSON files using spark.read.json()
Handling multi-line JSON files with .option("multiLine", "true")
Writing DataFrames to JSON and CSV formats using .write.format().save()
Understanding Spark’s output file structure (part files, _SUCCESS, _STARTED)
Best practices when working with JSON data in Spark
By the end of this video, you’ll understand how to read any type of JSON file and how to save your processed data in various formats using PySpark and Databricks.
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