I have a table that I want to query, but I want to make many specific queries and return a table of any results that have met their condition, and ignore queries that do not exist.
x
data = (
(1, '2020-11-19'),
(1, '2020-11-20'),
(1, '2020-11-21'),
(2, '2020-11-19'),
(2, '2020-11-20'),
(2, '2020-11-21')
)
string = """
SELECT * FROM my_schema.my_table
WHERE my_schema.my_table.song_id = %s
AND my_schema.my_table.date = %s;
"""
execute_values(cursor, string, data)
results = cursor.fetchall()
Hopefully this illustrates what I’m trying to achieve here…
I want to perform a series of select statements which each have a pair of parameters. If that pair of parameters is in the database, then append it to the results table.
Is the only way to do this, manually in a for-loop
?
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Answer
Executing many queries in a loop is not a good idea. Use a common table expression to deliver many pairs of parameters to a single query and get results for all of them, like in this Postgres example.
Python code:
data = (
(1, '2020-11-19'),
(1, '2020-11-20'),
(1, '2020-11-21'),
(2, '2020-11-19'),
(2, '2020-11-20'),
(2, '2020-11-21')
)
query = """
with data(song_id, date) as (
values %s
)
select t.*
from my_table t
join data d
on t.song_id = d.song_id and t.date = d.date::date
"""
execute_values(cursor, query, data)
results = cursor.fetchall()