Re: SQL WHERE: many sql or large IN()

> I have a choice of running:
>
> SELECT bar FROM tokens WHERE foo IN ('apple','orange','biscuit'....) for
> up to ~300 words
>
> OR
>
> SELECT bar FROM tokens WHERE foo = 'apple' up to ~300 times as a
> prepared/cached SQL statements.

With new PG versions you can also use VALUES which will save you a hash
if you know your keys are unique.
Example use integers but you can use anything. Just like a normal join
from a table.
Putting 300 values in VALUES is certainly a LOT faster than doing 300
individual SELECTs !

test=> EXPLAIN ANALYZE SELECT t.* FROM test t, ( VALUES (1),(2) ) AS v
WHERE t.id=v.column1;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=0.00..16.76 rows=2 width=8) (actual time=0.029..0.039
rows=2 loops=1)
-> Values Scan on "*VALUES*" (cost=0.00..0.03 rows=2 width=4) (actual
time=0.004..0.005 rows=2 loops=1)
-> Index Scan using test_pkey on test t (cost=0.00..8.36 rows=1
width=8) (actual time=0.013..0.015 rows=1 loops=2)
Index Cond: (t.id = "*VALUES*".column1)
Total runtime: 0.085 ms