I had this same issue in Redshift and ended up populating a table with values 1 to the maximum number of commas found (e.g. using max(regexp_count(...)) or something), then cross joining on the table with the csv column and calling split_part on the corresponding column and index (with the index coming from the numbers table). The cross join ensures that you index every value of the csv column.