Similar to the DataFrame COALESCE function, REPLACE function is one of the important functions that you will use to manipulate string data. Replace function is one of the widely used function in SQL. You can use the replace function to replace values. In this article, we will check how to use Spark SQL replace function on an Apache Spark DataFrame with an example. Spark SQL REPLACE Spark SQL REPLACE on DataFrame In a SQL, replace function removes all occurrences of a specified substring, and optionally replaces them with another string.…

You will know the importance of coalesce function if you are from SQL or Data Warehouse background. Coalesce function is one of the widely used function in SQL. You can use the coalesce function to return non-null values. In this article, we will check how to use Spark SQL coalesce on an Apache Spark DataFrame with an example. Spark SQL COALESCE on DataFrame The coalesce is a non-aggregate regular function in Spark SQL. The coalesce gives the first non-null value among the given columns or null if all columns are null. Coalesce requires at…

You can use Spark Dataset join operators to join multiple dataframes in Spark. Two or more dataFrames are joined to perform specific tasks such as getting common data from both dataFrames. In this article, we will check how to perform Spark SQL DataFrame self join using Pyspark. Spark SQL DataFrame Self Join using Pyspark Spark DataFrame supports various join types as mentioned in Spark Dataset join operators. A self join in a DataFrame is a join in which dataFrame is joined to itself. The self join is used to identify…