PySpark MapType (also called map type) is a data type to represent Python Dictionary (dict) to store key-value pair, a MapType object comprises three fields, keyType (a DataType), valueType (a…
PySpark MapType (map) is a key-value pair that is used to create a DataFrame with map columns similar to Python Dictionary (Dict) data structure. While reading a JSON file with…
PySpark StructType & StructField classes are used to programmatically specify the schema to the DataFrame and create complex columns like nested struct, array, and map columns. StructType is a collection…
Spark Schema defines the structure of the DataFrame which you can get by calling printSchema() method on the DataFrame object. Spark SQL provides StructType & StructField classes to programmatically specify…
Problem: How to explode the Array of Map DataFrame columns to rows using Spark. Solution: Spark explode function can be used to explode an Array of Map ArrayType(MapType) columns to…
In this article, I will explain how to create a Spark DataFrame MapType (map) column using org.apache.spark.sql.types.MapType class and applying some DataFrame SQL functions on the map column using the…
In this article, I will explain the usage of the Spark SQL map functions map(), map_keys(), map_values(), map_contact(), map_from_entries() on DataFrame column using Scala example. Though I've explained here with Scala, a similar method could be…
Spark SQL StructType & StructField classes are used to programmatically specify the schema to the DataFrame and creating complex columns like nested struct, array and map columns. StructType is a…