I have two tables that I want to query: pest_counts
and pests
which look like:
CREATE TABLE pests(id,name)
AS VALUES
(1,'Thrip'),
(2,'Fungus Gnosts');
CREATE TABLE pest_counts(id,pest_id,date,count)
AS VALUES
(1,1,'2015-01-01'::date,14),
(2,2,'2015-01-02'::date,5);
I want to use postgres' generate_series
to show the number of each type of pest that was found for the date series:
expected results
name | date | count
-------------+------------+-------
Thrip | 2015-01-01 | 14
Thrip | 2015-01-02 | 0
....
Fungus Gnats | 2015-01-01 | 0
Fungus Gnats | 2015-01-02 | 5
...
I know I'll need something like the following but I'm not exactly sure how to do the rest:
SELECT date FROM generate_series('2015-01-01'::date, '2015-12-31'::date, '1 day') date
Best Answer
I usually solve such problems by setting up a table for all the possible data points (here the pests and dates). This is easily achieved by a
CROSS JOIN
, see theWITH
query below.Then, as the finishing step, I just (outer) join the existing measurements, based on the pest ID and date - optionally giving a default for the missing values via
COALESCE()
.So, the whole query is:
Check it at work on SQLFiddle.
Note: when either the table(s) or the generated series are big, doing the
CROSS JOIN
inside a CTE might be a bad idea. (It has to materialize all the rows, regardless of there is data for a given day or not). In this case one should do the same in theFROM
clause, as a parenthesized sub-join instead of the current reference todata_points
. This way the planner has a better understanding about the rows affected and the possibilities for using indexes. I use the CTE in the example because it looks cleaner for the sake of the example.