Spark org.apache.spark.sql.functions.regexp_replace is a string function that is used to replace part of a string (substring) value with another string on DataFrame column by using gular expression (regex). This function…
Question: How to run/submit (spark-submit) PySpark application from another Python script as a sub process and get the status of the job? Solution: Run PySpark Application as a Python process…
In Spark & PySpark like() function is similar to SQL LIKE operator that is used to match based on wildcard characters (percentage, underscore) to filter the rows. You can use…
Question: In Spark & PySpark how to use isin() & IS NOT IN operators that are similar to IN & NOT IN functions available in SQL that check DataFrame column…
Question: In Spark & PySpark, how to get the size/length of ArrayType (array) column and also how to find the size of MapType (map/Dic) type in DataFrame, could you also…
Question: In Spark & PySpark is there a function to filter the DataFrame rows by length or size of a String Column (including trailing spaces) and also show how to…
Similar to SQL regexp_like() function Spark & PySpark also supports Regex (Regular expression matching) by using rlike() function, This function is available in org.apache.spark.sql.Column class. Use regex expression with rlike()…
Problem: In Spark, I have a string column on DataFrame and wanted to check if this string column has all or any numeric values, wondering if there is any function…
when you are dealing with large datasets with different data types (DataType) in Spark we often need to check the data type of a DataFrame column and even sometimes you…
Problem: In Spark or PySpark how to remove white spaces (blanks) in DataFrame string column similar to trim() in SQL that removes left and right white spaces. PySpark - How…
