ngas wrote:
Drew Wilson wrote:
Merge Join (cost=524224.49..732216.29 rows=92447 width=97)
(actual time=1088.871..1351.840 rows=170759 loops=1)
...
Total runtime: 1366.757 ms
It looks like the query actual runs in less than 3 seconds, but it
takes some time to fetch 170759 rows to the client.
-
Yes, I'll be filtering by string value. However, I just wanted to see
how long it takes to scan all translations in a particular language.
Drew
On May 15, 2007, at 9:00 AM, Daniel Cristian Cruz wrote:
2007/5/15, Drew Wilson <[EMAIL PROTECTED]>:
=# explain SELECT s.source_id,
ime=0.086..110.564 rows=186176 loops=1)
Total runtime: 1366.757 ms
(16 rows)
On May 15, 2007, at 7:05 AM, Alvaro Herrera wrote:
Drew Wilson escribió:
=# explain SELECT s.source_id, s.value AS sourceValue, t.value AS
translationValue
FROM
source s,
translation_pair tp,
I'm trying to debug a query that gets all the French translations for
all US string values. Ultimately, my goal is to rank them all by edit
distance, and only pick the top N.
However, I cannot get the basic many-to-many join to return all the
results in less than 3 seconds, which seems slow
On Apr 10, 2007, at 6:54 AM, Tom Lane wrote:
Drew Wilson <[EMAIL PROTECTED]> writes:
The SELECT is not slow, so its a side effect of the update... Looking
at the table definition, there is a "BEFORE ON DELETE" trigger
defined, two CHECK constraints for this table, and th
Thanks for the suggestions, Tom. But I'm still stumped.
On Apr 9, 2007, at 7:13 PM, Tom Lane wrote:
Drew Wilson <[EMAIL PROTECTED]> writes:
Here's the query plan for a SELECT statement that returns 1,207,161
rows in 6 seconds.
...
And here's the query plan for the UPDAT
rue)
Filter: is_public
-> Hash (cost=31861.82..31861.82 rows=1690282 width=4)
-> Seq Scan on translation_pair_data
(cost=0.00..31861.82 rows=1690282 width=4)
I figure I must be doing something wrong here. Thanks for the he
I have 2 tables (A,B) joined in a many-to-many relationship via a
join table ("membership"), where updating table A based on table B
takes a very long time.
Tables A and B have oid primary keys (a_id and b_id respectively).
The join table, "membership", has its own oid primary key
(membersh
I have 700 lines of non-performant pgSQL code that I'd like to
profile to see what's going on.
What's the best way to profile stored procedures?
Thanks,
Drew
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