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Read a JSON file using Apache Spark! In this video, we'll cover the steps to load JSON data into a DataFrame, which is a fundamental data structure in Spark.

JSON (JavaScript Object Notation) is a common data format used for various purposes, such as web APIs and data interchange. Databricks and Apache Spark make it easy to work with JSON data, allowing us to perform powerful data analysis.

Import necessary libraries
from pyspark.sql import SparkSession

Initialize a Spark session
spark = SparkSession.builder.appName("JSONReaderTutorial").getOrCreate()

Define the path to your JSON file
json_file_path = "/path/to/your/json/file.json"

Read the JSON file into a DataFrame
df = spark.read.json(json_file_path)

Show the first few rows of the DataFrame
df.show()

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