123. Read JSON Files in PySpark| Handle Single-Line JSON in pyspark? |
📚 Topics Covered
✔ Introduction to Single-Line JSON
✔ What is Single-Line JSON?
✔ JSON Object vs JSON Lines (JSONL)
✔ JSONL (JSON Lines) Explained
✔ NDJSON (Newline Delimited JSON) Explained
✔ Single JSON Object vs Multiple JSON Objects
✔ Difference between Single-Line JSON & Multi-Line JSON
✔ Structure of Single-Line JSON Files
✔ Reading Single-Line JSON in PySpark
✔ spark.read.json() Syntax
✔ Different Ways to Read JSON Files
✔ Using format("json").load()
✔ When to use multiLine=True
✔ Why multiLine=False for Single-Line JSON
✔ Reading a Single JSON Object
✔ Reading Multiple JSON Objects (JSONL)
✔ Understanding Schema Inference
✔ Why JSON Column Order Changes
✔ Reading JSON Directory (Multiple Files)
✔ Reading Multiple JSON Files using List
✔ Reading JSON Files using Wildcard (*.json)
✔ Recommended Real-Time Approach
✔ Explicit Schema vs Infer Schema
✔ Performance Benefits of Explicit Schema
✔ Creating StructType & StructField Schema
✔ Reading JSON with Explicit Schema
✔ Reading JSON Files with NULL Values
✔ Handling Empty Strings in JSON
✔ Best Practices for Production
✔ spark.read.json()
✔ format("json")
✔ multiLine=False
✔ Explicit Schema
✔ Read Multiple JSON Files
✔ Handle NULL Values
⏱️ Chapters
00:00 Introduction
00:06 What is Single-Line JSON?
01:20 JSON Object vs JSON Lines (JSONL)
03:40 Single-Line JSON vs Multi-Line JSON
05:15 Reading JSON in Databricks
05:50 spark.read.json() Syntax
07:00 Different Methods to Read JSON
08:15 multiLine=False Explained
09:20 format("json").load() Method
11:10 Reading Single JSON Object
13:10 Understanding Schema Inference
15:10 Reading Multiple JSON Objects (JSONL)
16:10 NDJSON Explained
18:00 Reading JSON Records
20:00 Understanding JSON Column Order
24:10 Reading JSON from a Directory
26:00 Reading Multiple JSON Files
30:20 Using Wildcard (*.json)
33:20 Explicit Schema vs Infer Schema
35:20 Creating StructType Schema
37:10 Reading JSON using Explicit Schema
38:00 Reading JSON with NULL Values
40:40 NULL vs Empty String
41:20 Summary
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💡 Suggested Title
How to Read Single-Line JSON in PySpark | JSONL vs NDJSON | Explicit Schema | PySpark Tutorial | PySpark Read JSON Tutorial | Single-Line JSON, JSONL, NDJSON & Explicit Schema Explained
spark.read.format("json").load(path)
.option(multiLine, True)
How to read Single-line JSON Object?
Auto-infers schema.
.option("singleLine", True) & .option("multiLine", False)
How to read JSON Records (one JSON object per line)?
How to read multiple single-line JSON files stored in one folder?
How to read Single-line JSON Object using explicit schema?
How to read Single-line JSON Object of null’s & empty string?
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