PySpark Examples - How to handle Array type column in spark data frame - Spark SQL

Spark SQL - Array Type Column
- size: To get number of elements in array
- array_min: To get element with minimum value from array
- array_max: To get element with maximum value from array
- element_at: To get an element at a particular position from array
- array_contains: To check if an element is present in the array
- array_position: To get the position of an element in the array
- array_reverse: To reverse the elements of array
- array_sort: To sort all the elements of array
- array_distinct: To remove duplicate elements from array
- array_join: To join all the elements of the array
- explode: To explode elements of array into records

#pyspark #spark #python #sparksql #dataframe #array

[AntonyDavid]

How to use ARRAY_AGG function on a column? It is not available in Spark?

[tcsanimesh]

Hi do you provide complete live pyspark training ?

[mohans]

I am getting the error"'NoneType' object has no attribute 'split' when I read CSV file which contains array columns into spark data frame