PySpark Concatenate Columns

pyspark.sql.functions provides two functions concat() and concat_ws() to concatenate DataFrame multiple columns into a single column. In this article, I will explain the differences between concat() and concat_ws() (concat with separator) by examples. PySpark Concatenate Using concat() concat() function of Pyspark SQL is used to concatenate multiple DataFrame columns into…

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PySpark – Convert array column to a String

In this PySpark article, I will explain how to convert an array of String column on DataFrame to a String column (separated or concatenated with a comma, space, or any delimiter character) using PySpark function concat_ws() (translates to concat with separator), and with SQL expression using Scala example. When curating…

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Spark – Convert array of String to a String column

In this Spark article, I will explain how to convert an array of String column on DataFrame to a String column (separated or concatenated with a comma, space, or any delimiter character) using Spark function concat_ws() (translates to concat with separator), map() transformation and with SQL expression using Scala example.…

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Spark – How to Concatenate DataFrame columns

Using concat() or concat_ws() Spark SQL functions we can concatenate one or more DataFrame columns into a single column, In this article, you will learn using these functions and also using raw SQL to concatenate columns with Scala example. Related: Concatenate PySpark (Python) DataFrame column 1. Preparing Data & DataFrame…

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