What is the process of transforming a dictionary presented as a string into a structured dataframe in Scala?

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Here is one approach to transforming a dictionary presented as a string into a structured DataFrame in Scala:

1. Parse the string into a Map using the parse() method from the spray-json library. This library provides JSON parsing and serialization for Scala.

import spray.json._

val jsonString = "{ \"name\":\"John\", \"age\":30, \"city\":\"New York\" }"
val jsonMap = jsonString.parseJson.convertTo[Map[String, Any]]

1. Convert the Map into a Spark RDD using the parallelize() method.

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession

val spark = SparkSession.builder.appName("DictionaryStringToDataFrame").getOrCreate()

val rdd = spark.sparkContext.parallelize(Seq(jsonMap))

1. Convert the RDD into a DataFrame using the createDataFrame() method from the SparkSession.

import org.apache.spark.sql.DataFrame

val df = spark.createDataFrame(rdd)

1. Print the DataFrame schema and data.

df.printSchema()
df.show()

The output should look something like this:

root
 |-- age: integer (nullable = false)
 |-- city: string (nullable = true)
 |-- name: string (nullable = true)

+---+--------+----+
|age|    city|name|
+---+--------+----+
| 30|New York|John|
+---+--------+----+