41. to_json() | How to convert StructType column into StringType? | #pyspark PART 41

How to convert StructType column into StringType using to_json?

GitHub Link: https://github.com/enuganti/data-engineer/tree/main/PySpark/3_data%20formats/4_JSON/to_json/41_How%20to%20convert%20StructType%20column%20into%20StringType%20using%20to_json

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to_json: Converts a column containing a StructType, ArrayType or a MapType into a JSON string.

Syntax: to_json(column, schema, options)

from pyspark.sql.functions import to_json
df.withColumn('msg_json', f.to_json(f.col('msg')))

Example:
data = [('sales', ('first_name', 'vicky'))]
schema_sub = StructType([StructField('Label_Type', StringType()), StructField('Currency', StringType())])
schema = StructType([StructField('Name', StringType()), StructField('Description', schema_sub)])
df = spark.createDataFrame(data, schema)
display(df)

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Видео 41. to_json() | How to convert StructType column into StringType? | #pyspark PART 41 канала Suresh@AzureADB