Vertica Quick Tip: On the Fly Date Dimension

This blog post was authored by Jim Knicely.

The Vertica TIMESERIES Clause is an important component of time series analytics computation. It performs gap filling and interpolation (GFI) to generate time slices missing from the input records.

I like to use it to create a dynamic date dimension for my data warehouse.

Example: dbadmin=> CREATE OR REPLACE VIEW date_dim AS dbadmin-> SELECT ts::date AS the_date, dbadmin-> TO_CHAR(ts::date, 'Day') the_day, dbadmin-> EXTRACT('Day' FROM ts::date) the_day_of_month, dbadmin-> EXTRACT('DOY' FROM ts::date) the_day_of_year, dbadmin-> EXTRACT('Week' FROM ts::date) the_week_of_year, dbadmin-> EXTRACT('Quarter' FROM ts::date) the_quarter, dbadmin-> EXTRACT('DOQ' FROM ts::date) the_day_of_quarter dbadmin-> FROM (SELECT '19-MAR-2018'::TIMESTAMP as tm UNION SELECT '23-MAR-2018'::TIMESTAMP as tm) as t dbadmin-> TIMESERIES ts as '1 DAY' OVER (ORDER BY tm); CREATE VIEW dbadmin=> SELECT * FROM date_dim; the_date | the_day | the_day_of_month | the_day_of_year | the_week_of_year | the_quarter | the_day_of_quarter ------------+-----------+------------------+-----------------+------------------+-------------+-------------------- 2018-03-19 | Monday | 19 | 78 | 12 | 1 | 78 2018-03-20 | Tuesday | 20 | 79 | 12 | 1 | 79 2018-03-21 | Wednesday | 21 | 80 | 12 | 1 | 80 2018-03-22 | Thursday | 22 | 81 | 12 | 1 | 81 2018-03-23 | Friday | 23 | 82 | 12 | 1 | 82 (5 rows) Have Fun!