Redshift Performance Problem
I have call center data that I pull in through inContact and I need to add a date field from a date/time field in order to not have problems with time. To do this, I've made a redshift flow that selects all the fields and truncates the date/time field to a date field:
Select field1, field2, ...,
TRUNC(CONVERT_TIMEZONE('UTC','America/Chicago',"contactStart")) AS contactStartdate
Since the data comes in as UTC, I first convert it to central and the truncate it. That way I get the correct date out of the stamp. The table has 52 columns and usually about 3000-4000 rows being replaced every 15min.
My problem is I need to update this dataset every 15min, but the redshift query sometime takes 30 seconds or over 10-15min. Any ideas on what is going on/how I can get it to consistently run for only 30 seconds?