Split in spark sql server The first line of code imports the SparkSession class. Preferably, we will use PySpark to read SQL Server table. Sep 25, 2025 ยท This gives you a brief understanding of using pyspark. Next, we have a SQL expression with two SQL functions - split and explode, to split each line into multiple rows with a word each. This was added in SQL Server 2016 and is designed to quickly break apart a string that has a single character delimeter. String functions can be applied to string columns or literals to perform various operations such as concatenation, substring extraction, padding, case conversions, and pattern matching with regular expressions. parser. This document provides a list of Data Definition and Data Manipulation Statements, as well as Data Retrieval and Auxiliary Statements. Extracting Strings using split Let us understand how to extract substrings from main string using split function. split(str: ColumnOrName, pattern: str, limit: int = - 1) → pyspark. ytuf garqzjo wovi empyxg fsegm zskea nlg gibyq tdu aghpd qzi qmwig qmoae sjuqz tixkacq