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How to parse nested JSON using Scala Spark?

Last Updated : 24 Apr, 2024

In this article, we will learn how to parse nested JSON using Scala Spark.

To parse nested JSON using Scala Spark, you can follow these steps:

Define the schema for your JSON data.
Read the JSON data into a Datc aFrame.
Select and manipulate the DataFrame columns to work with the nested structure.

Scala Spark Program to parse nested JSON:

Scala

//Scala Spark Program to parse nested JSON :
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions

// Step 1: Define the schema
val schema = """
  {
    "type": "struct",
    "fields": [
      {"name": "id", "type": "integer", "nullable": false},
      {"name": "name", "type": "string", "nullable": true},
      {"name": "details",
       "type": {
         "type": "struct",
         "fields": [
           {"name": "age", "type": "integer", "nullable": true},
           {"name": "city", "type": "string", "nullable": true}
         ]
       },
       "nullable": true
      }
    ]
  }
"""

// Step 2: Create SparkSession
val spark = SparkSession.builder()
  .appName("Nested JSON Parsing")
  .master("local[*]")
  .getOrCreate()

// Step 3: Read JSON data into DataFrame
val df = spark.read.schema(schema).json("path_to_your_json_file")

// Step 4: Select and manipulate DataFrame columns
val parsedDF = df.select(
  col("id"),
  col("name"),
  col("details.age").as("age"),
  col("details.city").as("city")
)

// Step 5: Show the result
parsedDF.show()

Output:

+---+------+---+-----+
| id|  name|age| city|
+---+------+---+-----+
|  1| Alice| 30|Paris|
|  2|   Bob| 25|New York|
|  3| Carol| 35|London|

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