Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Martijn van Oosterhout
On Fri, Feb 01, 2008 at 12:08:56PM +0100, Gaetano Mendola wrote:
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 Hi all,
 I'm using 8.2.6 and I'm observing a trange behaviour using
 offset and limits.

Please post EXPLAIN ANALYZE output so we can see what's actually taking
the time.

Have a nice day,
-- 
Martijn van Oosterhout   [EMAIL PROTECTED]   http://svana.org/kleptog/
 Those who make peaceful revolution impossible will make violent revolution 
 inevitable.
  -- John F Kennedy


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[HACKERS] Limit changes query plan

2008-02-01 Thread Gaetano Mendola
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Hi all,
I'm using 8.2.6 and I'm observing a trange behaviour using
offset and limits.

This are the two queries that are puzzling me:

explain SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
pvcc,pvcf,pvcl,ldcn,ogtd,sgti
FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON (dt.card_id = c.id)
WHERE ecp=18 AND _to = 1500 AND _from = 1550
ORDER BY nctr,nctn,ncts,rvel
offset 0 ;
  QUERY PLAN
- 

Limit  (cost=175044.75..175071.04 rows=10518 width=90)
  -  Sort  (cost=175044.75..175071.04 rows=10518 width=90)
Sort Key: c.nctr, c.nctn, c.ncts, c.rvel
-  Hash Join  (cost=25830.72..174342.12 rows=10518 width=90)
  Hash Cond: (c.id = dt.card_id)
  -  Bitmap Heap Scan on t_oa_2_00_card c  (cost=942.36..148457.19 
rows=101872 width=90)
Recheck Cond: (ecp = 18)
-  Bitmap Index Scan on i7_t_oa_2_00_card  
(cost=0.00..916.89 rows=101872 width=0)
  Index Cond: (ecp = 18)
  -  Hash  (cost=22743.45..22743.45 rows=171593 width=8)
-  Bitmap Heap Scan on t_oa_2_00_dt dt  
(cost=2877.26..22743.45 rows=171593 width=8)
  Recheck Cond: (_from = 1550)
  Filter: (_to = 1500)
  -  Bitmap Index Scan on i_oa_2_00_dt_from  
(cost=0.00..2834.36 rows=182546 width=0)
Index Cond: (_from = 1550)


explain SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
pvcc,pvcf,pvcl,ldcn,ogtd,sgti
FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON (dt.card_id = c.id)
WHERE ecp=18 AND _to = 1500 AND _from = 1550
ORDER BY nctr,nctn,ncts,rvel
offset 0 limit 5;
QUERY PLAN
- 

Limit  (cost=0.00..2125.12 rows=5 width=90)
  -  Nested Loop  (cost=0.00..4470402.02 rows=10518 width=90)
-  Index Scan using i_oa_2_00_card_keys on t_oa_2_00_card c  
(cost=0.00..3927779.56 rows=101872 width=90)
  Filter: (ecp = 18)
-  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  
(cost=0.00..5.31 rows=1 width=8)
  Index Cond: (dt.card_id = c.id)
  Filter: ((_to = 1500) AND (_from = 1550))


using the limit I have an execution time of minutes vs a some seconds.

What am I missing here ?

Regards
Gaetano Mendola



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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Gaetano Mendola
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Martijn van Oosterhout wrote:
 On Fri, Feb 01, 2008 at 12:08:56PM +0100, Gaetano Mendola wrote:
 -BEGIN PGP SIGNED MESSAGE-
 Hash: SHA1

 Hi all,
 I'm using 8.2.6 and I'm observing a trange behaviour using
 offset and limits.
 
 Please post EXPLAIN ANALYZE output so we can see what's actually taking
 the time.

The analyze is still running (I launched it 30 mins ago), I'll post it as soon
I have it.

Disabling the nested_loop ( set enable_nestloop = false ) the query with the 
limit
has now the same execution time without the limit.

I don't get why a limit is going to change the query plan and most of all 
decreasing
the performances.


Regards
Gaetano Mendola
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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Gaetano Mendola
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Gregory Stark wrote:
 Gaetano Mendola [EMAIL PROTECTED] writes:
 
 I don't get why a limit is going to change the query plan and most of all 
 decreasing
 the performances.
 
 Until we see the explain analyze it won't be clear what exactly is going on.
 But in theory a LIMIT can definitely change the plan because the planner knows
 it won't need to generate all the rows to satisfy the LIMIT.
 
 In the plans you gave note that the plan for the unlimited query has a Sort so
 it has to produce all the records every time. The second query produces the
 records in order so if the LIMIT is satisfied quickly then it can save a lot
 of work.
 
 It's evidently guessing wrong about the limit being satisfied early. The
 non-indexed restrictions might be pruning out a lot more records than the
 planner expects. Or possibly the table is just full of dead records.
 

Here the analyze result:


explain analyze SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
pvcc,pvcf,pvcl,ldcn,ogtd,sgti FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON 
(dt.card_id = c.id) WHERE ecp=18 AND _to = 1500 AND _from = 1550 ORDER BY 
nctr,nctn,ncts,rvel offset 0 limit 5;

   
QUERY PLAN   
---
Limit  (cost=0.00..2125.12 rows=5 width=90) (actual 
time=3399923.424..3399960.174 rows=5 loops=1)
  -  Nested Loop  (cost=0.00..4470402.02 rows=10518 width=90) (actual 
time=3399923.420..3399960.156 rows=5 loops=1)
-  Index Scan using i_oa_2_00_card_keys on t_oa_2_00_card c  
(cost=0.00..3927779.56 rows=101872 width=90) (actual 
time=3399892.632..3399896.773 rows=50 loops=1)
  Filter: (ecp = 18)
-  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  
(cost=0.00..5.31 rows=1 width=8) (actual time=1.264..1.264 rows=0 loops=50)
  Index Cond: (dt.card_id = c.id)
  Filter: ((_to = 1500) AND (_from = 1550))
Total runtime: 3399960.277 ms


explain analyze SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
pvcc,pvcf,pvcl,ldcn,ogtd,sgti FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON 
(dt.card_id = c.id) WHERE ecp=18 AND _to = 1500 AND _from = 1550 ORDER BY 
nctr,nctn,ncts,rvel offset 0 ;
  QUERY 
PLAN
-
Limit  (cost=175044.75..175071.04 rows=10518 width=90) (actual 
time=2425.138..2435.633 rows=3298 loops=1)
  -  Sort  (cost=175044.75..175071.04 rows=10518 width=90) (actual 
time=2425.134..2428.812 rows=3298 loops=1)
Sort Key: c.nctr, c.nctn, c.ncts, c.rvel
-  Hash Join  (cost=25830.72..174342.12 rows=10518 width=90) (actual 
time=797.540..2382.900 rows=3298 loops=1)
  Hash Cond: (c.id = dt.card_id)
  -  Bitmap Heap Scan on t_oa_2_00_card c  (cost=942.36..148457.19 
rows=101872 width=90) (actual time=70.212..1507.429 rows=97883 loops=1)
Recheck Cond: (ecp = 18)
-  Bitmap Index Scan on i7_t_oa_2_00_card  
(cost=0.00..916.89 rows=101872 width=0) (actual time=53.340..53.340 rows=97883 
loops=1)
  Index Cond: (ecp = 18)
  -  Hash  (cost=22743.45..22743.45 rows=171593 width=8) (actual 
time=726.597..726.597 rows=89277 loops=1)
-  Bitmap Heap Scan on t_oa_2_00_dt dt  
(cost=2877.26..22743.45 rows=171593 width=8) (actual time=86.181..593.275 
rows=89277 loops=1)
  Recheck Cond: (_from = 1550)
  Filter: (_to = 1500)
  -  Bitmap Index Scan on i_oa_2_00_dt_from  
(cost=0.00..2834.36 rows=182546 width=0) (actual time=80.863..80.863 
rows=201177 loops=1)
Index Cond: (_from = 1550)
Total runtime: 2440.396 ms



Regards
Gaetano Mendola
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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Gregory Stark
Gaetano Mendola [EMAIL PROTECTED] writes:

 I don't get why a limit is going to change the query plan and most of all 
 decreasing
 the performances.

Until we see the explain analyze it won't be clear what exactly is going on.
But in theory a LIMIT can definitely change the plan because the planner knows
it won't need to generate all the rows to satisfy the LIMIT.

In the plans you gave note that the plan for the unlimited query has a Sort so
it has to produce all the records every time. The second query produces the
records in order so if the LIMIT is satisfied quickly then it can save a lot
of work.

It's evidently guessing wrong about the limit being satisfied early. The
non-indexed restrictions might be pruning out a lot more records than the
planner expects. Or possibly the table is just full of dead records.

-- 
  Gregory Stark
  EnterpriseDB  http://www.enterprisedb.com
  Ask me about EnterpriseDB's PostGIS support!

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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Tom Lane
Greg Stark [EMAIL PROTECTED] writes:
 -  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  (cost=0.00..5.31 
 rows=1 width=8) (actual time=1.264..1.264 rows=0 loops=50)
 Index Cond: (dt.card_id = c.id)
 Filter: ((_to = 1500) AND (_from = 1550))
 Total runtime: 3399960.277 ms

 Also, are 1500 and 1550 user-supplied parameters or are they part of a small 
 set of possible values? You could consider having a partial index on card_id 
 WHERE _to = 1500 AND _from = 1550. The numbers don't even have to match 
 exactly as long as they include all the records the query needs.

That side of the join isn't where the problem is, though.

If you're willing to invent new indexes, one on ecp,nctr,nctn,ncts,rvel
would probably fix the performance issue very nicely.

regards, tom lane

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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Tom Lane
Gaetano Mendola [EMAIL PROTECTED] writes:
 Gregory Stark wrote:
 It's evidently guessing wrong about the limit being satisfied early. The
 non-indexed restrictions might be pruning out a lot more records than the
 planner expects. Or possibly the table is just full of dead records.

 Here the analyze result:

 explain analyze SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
 pvcc,pvcf,pvcl,ldcn,ogtd,sgti FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON 
 (dt.card_id = c.id) WHERE ecp=18 AND _to = 1500 AND _from = 1550 ORDER BY 
 nctr,nctn,ncts,rvel offset 0 limit 5;

   
  QUERY PLAN   
 ---
 Limit  (cost=0.00..2125.12 rows=5 width=90) (actual 
 time=3399923.424..3399960.174 rows=5 loops=1)
   -  Nested Loop  (cost=0.00..4470402.02 rows=10518 width=90) (actual 
 time=3399923.420..3399960.156 rows=5 loops=1)
 -  Index Scan using i_oa_2_00_card_keys on t_oa_2_00_card c  
 (cost=0.00..3927779.56 rows=101872 width=90) (actual 
 time=3399892.632..3399896.773 rows=50 loops=1)
   Filter: (ecp = 18)
 -  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  
 (cost=0.00..5.31 rows=1 width=8) (actual time=1.264..1.264 rows=0 loops=50)
   Index Cond: (dt.card_id = c.id)
   Filter: ((_to = 1500) AND (_from = 1550))
 Total runtime: 3399960.277 ms

It's guessing that there are 101872 rows altogether that have ecp = 18.
Is that about right?  If not, raising the statistics target for the
table might fix the problem.  If it is about right, then you may be
stuck --- the problem then could be that the rows with ecp=18 aren't
uniformly scattered in the i_oa_2_00_card_keys ordering, but are
clustered near the end.

Greg's comment about dead rows might be correct too --- the actual
runtime for the indexscan seems kinda high even if it is scanning most
of the table.  Also, if this query is important enough, clustering
by that index would improve matters, at the cost of possibly slowing
down other queries that use other indexes.

regards, tom lane

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TIP 9: In versions below 8.0, the planner will ignore your desire to
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Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Greg Stark

 -  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  
 (cost=0.00..5.31 rows=1 width=8) (actual time=1.264..1.264 rows=0 loops=50)
   Index Cond: (dt.card_id = c.id)
   Filter: ((_to = 1500) AND (_from = 1550))
 Total runtime: 3399960.277 ms

Also, are 1500 and 1550 user-supplied parameters or are they part of a small 
set of possible values? You could consider having a partial index on card_id 
WHERE _to = 1500 AND _from = 1550. The numbers don't even have to match 
exactly as long as they include all the records the query needs.

Another possibility is using something like cube from contrib to build a GIST 
index on _to,_from. I think you would need to load gist_btree as well for the 
first column on card_id. It doesn't help every use case though, you would have 
to experiment.

But before experimenting with either of those things, what does VACUUM VERBOSE 
t_oa_2_00_dt say?


Re: [HACKERS] Limit changes query plan

2008-02-01 Thread Gaetano Mendola
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Tom Lane wrote:
 Greg Stark [EMAIL PROTECTED] writes:
 -  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  (cost=0.00..5.31 
 rows=1 width=8) (actual time=1.264..1.264 rows=0 loops=50)
 Index Cond: (dt.card_id = c.id)
 Filter: ((_to = 1500) AND (_from = 1550))
 Total runtime: 3399960.277 ms
 
 Also, are 1500 and 1550 user-supplied parameters or are they part of a small 
 set of possible values? You could consider having a partial index on 
 card_id WHERE _to = 1500 AND _from = 1550. The numbers don't even have 
 to match exactly as long as they include all the records the query needs.
 
 That side of the join isn't where the problem is, though.
 
 If you're willing to invent new indexes, one on ecp,nctr,nctn,ncts,rvel
 would probably fix the performance issue very nicely.
 

As always you are right, creating the index  ivan btree (ecp, nctr, nctn, 
ncts, rvel)

that query with the limit responds now in the blink of an eye:


 explain analyze SELECT c.id, tsk, lir, nctr, nctn, ncts, rvel,ecp, pvcp, 
 pvcc,pvcf,pvcl,ldcn,ogtd,sgti
FROM t_OA_2_00_card c JOIN t_OA_2_00_dt dt ON (dt.card_id = c.id)
WHERE ecp=18 AND _to = 1500 AND _from = 1550
ORDER BY nctr,nctn,ncts,rvel
offset 0 limit 5;
  QUERY PLAN
- 
---
 Limit  (cost=0.00..370.03 rows=5 width=90) (actual time=0.102..0.608 rows=5 
loops=1)
   -  Nested Loop  (cost=0.00..778392.80 rows=10518 width=90) (actual 
time=0.099..0.594 rows=5 loops=1)
 -  Index Scan using ivan on t_oa_2_00_card c  (cost=0.00..235770.34 
rows=101872 width=90) (actual time=0.024..0.134 rows=50 loops=1)
   Index Cond: (ecp = 18)
 -  Index Scan using i_oa_2_00_dt_for on t_oa_2_00_dt dt  
(cost=0.00..5.31 rows=1 width=8) (actual time=0.006..0.006 rows=0 loops=50)
   Index Cond: (dt.card_id = c.id)
   Filter: ((_to = 1500) AND (_from = 1550))
 Total runtime: 0.700 ms
(8 rows)


Regards
Gaetano Mendola
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