Category: spark

In PySpark, the broadcast variable is used to cache a read-only variable on all the worker nodes, which can be…

pyspark.sql.functions.array_remove Syntax pyspark.sql.functions.array_remove(col, element) pyspark.sql.functions.array_remove is a function that removes all occurrences of a specified element from an array column…

pyspark.sql.functions.array_position The array_position function is used to find the position of a given value in an array column. This is…

pyspark.sql.functions.array_min The array_min function is a built-in function in Pyspark that finds the minimum value in an array column of…

pyspark.sql.functions.array_max The array_max function is a built-in function in Pyspark that finds the maximum value in an array column of…

pyspark.sql.functions.array_join PySpark’s array_join function is used to concatenate elements of an array into a single string, with the elements separated…

Connecting to Snowflake from PySpark involves several steps: Install the Snowflake connector for Python by running “pip install snowflake-connector-python” in…

pyspark.sql.functions.approx_count_distinct Pyspark’s approx_count_distinct function is a way to approximate the number of unique elements in a column of a DataFrame….

pyspark.sql.functions.pandas_udf PySpark’s PandasUDFType is a type of user-defined function (UDF) that allows you to use the power of Pandas library…

pyspark.sql.functions.format_number The format_number function is used to format a number as a string. The function takes two arguments: the number…