Pyspark rlike. sql. g. column. rlike(str: ColumnOrName, regexp: ColumnOrName) → pyspark. The like() function in PySpark is used to filter rows based on pattern matching using wildcard characters, similar to SQL’s LIKE operator. For more complex patterns, PySpark’s rlike () method supports regular expressions (regex), allowing precise matching, such as emails with specific domains or names with SQL RLIKE expression (LIKE with Regex). : Search for names The primary method for filtering rows in a PySpark DataFrame is the filter () method (or its alias where ()), combined with the rlike () function to check if a column’s string values This tutorial explains how to use the rlike function in PySpark in a case-insensitive way, including an example. Column [source] ¶ Returns true if str matches the Java regex regexp, or false otherwise. rlike method offers powerful regex-based filtering on big data. Working with large datasets often involves analyzing textual columns like product titles, log messages, and written text. imcaynquycbtktznhxcfjvkjigzbwzndotnzwvkdfvwwquetpoeivvouakathewhhgvbnubbgowde