*************************************************************************************************************************
1)
EXPLAIN ANALYSE SELECT
job_category.job_id,job.name,job.state,job.build_id,cat.name as
reporting_group
FROM category,job_category,job,category as cat
WHERE job.job_id=job_category.job_id
AND job_category.category_id=category.category_id
AND cat.build_id=category.build_id
AND category.name = 'build_id.pap3260-20070828_01'
AND cat.name like ('reporting_group.Tier2%');
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=0.00..291.53 rows=8 width=103) (actual
time=98.999..385.590 rows=100 loops=1)
-> Nested Loop (cost=0.00..250.12 rows=9 width=34) (actual
time=98.854..381.106 rows=100 loops=1)
-> Nested Loop (cost=0.00..123.22 rows=1 width=34) (actual
time=98.717..380.185 rows=1 loops=1)
-> Index Scan using idx_cat_by_name on category cat
(cost=0.00..5.97 rows=1 width=34) (actual time=95.834..245.276 rows=977
loops=1)
Index Cond: (((name)::text >= 'reporting'::character
varying) AND ((name)::text < 'reportinh'::character varying))
Filter: ((name)::text ~~
'reporting_group.Tier2%'::text)
-> Index Scan using idx_cat_by_bld_id on category
(cost=0.00..117.24 rows=1 width=8) (actual time=0.134..0.134 rows=0
loops=977)
Index Cond: ("outer".build_id = category.build_id)
Filter: ((name)::text =
'build_id.pap3260-20070828_01'::text)
-> Index Scan using idx_jcat_by_cat_id on job_category
(cost=0.00..126.00 rows=71 width=8) (actual time=0.126..0.569 rows=100
loops=1)
Index Cond: (job_category.category_id =
"outer".category_id)
-> Index Scan using job_pkey on job (cost=0.00..4.59 rows=1 width=73)
(actual time=0.033..0.036 rows=1 loops=100)
Index Cond: (job.job_id = "outer".job_id)
Total runtime: 385.882 ms
------------------------------------------------------------------------------------------------------------------------------------------------------
but , if I use AND cat.name = 'reporting_group.Tier2' ;
*************************************************************************************************************************
2)
EXPLAIN ANALYSE SELECT
job_category.job_id,job.name,job.state,job.build_id,cat.name as
reporting_group
FROM category,job_category,job,category as cat
WHERE job.job_id=job_category.job_id
AND job_category.category_id=category.category_id
AND cat.build_id=category.build_id
AND category.name = 'build_id.pap3260-20070828_01'
AND cat.name = 'reporting_group.Tier2' ;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------
Nested Loop (cost=8186.96..26124.40 rows=796 width=103) (actual
time=40.584..48.966 rows=100 loops=1)
-> Nested Loop (cost=8186.96..21776.35 rows=945 width=34) (actual
time=40.445..41.437 rows=100 loops=1)
-> Merge Join (cost=8186.96..8198.88 rows=107 width=34) (actual
time=40.290..40.303 rows=1 loops=1)
Merge Cond: ("outer".build_id = "inner".build_id)
-> Sort (cost=4093.48..4096.19 rows=1085 width=8) (actual
time=0.206..0.211 rows=3 loops=1)
Sort Key: category.build_id
-> Index Scan using idx_cat_by_name on category
(cost=0.00..4038.78 rows=1085 width=8) (actual time=0.130..0.183 rows=3
loops=1)
Index Cond: ((name)::text =
'build_id.pap3260-20070828_01'::text)
-> Sort (cost=4093.48..4096.19 rows=1085 width=34)
(actual time=37.424..38.591 rows=956 loops=1)
Sort Key: cat.build_id
-> Index Scan using idx_cat_by_name on category cat
(cost=0.00..4038.78 rows=1085 width=34) (actual time=0.076..34.328
rows=962 loops=1)
Index Cond: ((name)::text =
'reporting_group.Tier2'::text)
-> Index Scan using idx_jcat_by_cat_id on job_category
(cost=0.00..126.00 rows=71 width=8) (actual time=0.139..0.743 rows=100
loops=1)
Index Cond: (job_category.category_id =
"outer".category_id)
-> Index Scan using job_pkey on job (cost=0.00..4.59 rows=1 width=73)
(actual time=0.063..0.066 rows=1 loops=100)
Index Cond: (job.job_id = "outer".job_id)
----------------------------------------------------------------------------------------------------------------------------------------------------------------
Total runtime: 49.453 ms
How to increase the performance of the first query ?
Thank you !
Regards,
Karthi
-------------------------------------------------------------------
Karthikeyan Mahadevan
Java Technology Center
IBM Software Labs ,Bangalore, India.
Phone: +91 80 2504 4000 or 2509 4000 Ext: 2413
Direct : +91 80 25094413
Email : [EMAIL PROTECTED]
"Doesn't expecting the unexpected make the unexpected become the expected?
"
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