This is a discussion on more execution time within the Pgsql Performance forums, part of the PostgreSQL category; --> why this query needs more time? Its very slow thx //////////////////////////////////QUERY select coalesce(personaldetails.masterid::numeric,persona ldetails.id) + (coalesce(personaldetails.id::numeric,0)/1000000) as sorting, floor(coalesce(personaldetails.masterid::numeric,p ...
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| why this query needs more time? Its very slow thx //////////////////////////////////QUERY select coalesce(personaldetails.masterid::numeric,persona ldetails.id) + (coalesce(personaldetails.id::numeric,0)/1000000) as sorting, floor(coalesce(personaldetails.masterid::numeric,p ersonaldetails.id) + (coalesce(personaldetails.id::numeric,0)/1000000)) as ppid, personaldetails.id as pid, personaldetails.masterid, coalesce(personaldetails.prefix,'') || '' || coalesce(personaldetails.firstname,' ') || ' ' || coalesce(personaldetails.lastname,'''') as fullname, personaldetails.regtypeid, personaldetails.regdate, personaldetails.regprice, coalesce(regtypes.regtype,' ') || ' ' || coalesce(regtypes.subregtype,' ') as regtypetitle, regtypes.regtype, regtypes.subregtype, regtypedates.title, balance('MASTER-REGISTRATION',personaldetails.id) as balance, coalesce(pd2.prefix,' ') || ' ' || coalesce(pd2.firstname,' ') || ' ' || coalesce(pd2.lastname,' ') as accfullname, coalesce(rt2.regtype,'''') || ' ' || coalesce(rt2.subregtype,' ') as accregtypetitle, pd2.id as accid, pd2.regtypeid as accregtypeid, pd2.regdate as accregdate, pd2.regprice as accregprice, rt2.regtype as accregtype, rt2.subregtype as accsubregtype, rd2.title as acctitle, balance('MASTER-REGISTRATION',pd2.id) as accbalance, case when coalesce(balance('REGISTRATION',personaldetails.id ),0)<=0 then 1 else 0 end as balancestatus from personaldetails left outer join regtypes on regtypes.id=personaldetails.regtypeid left outer join regtypedates on regtypes.dateid=regtypedates.id left outer join personaldetails pd2 on personaldetails.id=pd2.masterid left outer join regtypes rt2 on rt2.id=pd2.regtypeid left outer join regtypedates rd2 on rt2.dateid=rd2.id where personaldetails.masterid is null ///////////////////////////////////////////////////// RESULT STATISTICS Total query runtime: 348892 ms. Data retrieval runtime: 311 ms. 763 rows retrieved. //////////////////////////////////////////////////// EXPLAIN QUERY Hash Left Join (cost=109.32..109.95 rows=5 width=434) Hash Cond: ("outer".dateid = "inner".id) -> Merge Left Join (cost=108.27..108.46 rows=5 width=409) Merge Cond: ("outer".regtypeid = "inner".id) -> Sort (cost=106.19..106.20 rows=5 width=347) Sort Key: pd2.regtypeid -> Hash Left Join (cost=90.11..106.13 rows=5 width=347) Hash Cond: ("outer".id = "inner".masterid) -> Hash Left Join (cost=45.49..45.71 rows=5 width=219) Hash Cond: ("outer".dateid = "inner".id) -> Merge Left Join (cost=44.44..44.63 rows=5 width=194) Merge Cond: ("outer".regtypeid = "inner".id) -> Sort (cost=42.36..42.37 rows=5 width=132) Sort Key: personaldetails.regtypeid -> Seq Scan on personaldetails (cost=0.00..42.30 rows=5 width=132) Filter: (masterid IS NULL) -> Sort (cost=2.08..2.16 rows=31 width=66) Sort Key: regtypes.id -> Seq Scan on regtypes (cost=0.00..1.31 rows=31 width=66) -> Hash (cost=1.04..1.04 rows=4 width=33) -> Seq Scan on regtypedates (cost=0.00..1.04 rows=4 width=33) -> Hash (cost=42.30..42.30 rows=930 width=132) -> Seq Scan on personaldetails pd2 (cost=0.00..42.30 rows=930 width=132) -> Sort (cost=2.08..2.16 rows=31 width=66) Sort Key: rt2.id -> Seq Scan on regtypes rt2 (cost=0.00..1.31 rows=31 width=66) -> Hash (cost=1.04..1.04 rows=4 width=33) -> Seq Scan on regtypedates rd2 (cost=0.00..1.04 rows=4 width=33) |
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| ALİ ÇELİK wrote: > why this query needs more time? Its very slow Difficult to say for sure - could you provide the output of EXPLAIN ANALYSE rather than just EXPLAIN? Some other immediate observations: 1. Perhaps don't post to so many mailing lists at once. If you reply to this, maybe reduce it to pgsql-performance? 2. You don't say whether the row estimates are accurate in the EXPLAIN. 3. You seem to be needlessly coalescing personaldetails.masterid since you check for it being null in your WHERE clause 4. Do you really need to cast to numeric and generate a "sorting" column that you then don't ORDER BY? 5. Is ppid an id number? And are you sure it's safe to calculate it like that? 6. What is balance() and how long does it take to calculate its result? > select > coalesce(personaldetails.masterid::numeric,persona ldetails.id) + > (coalesce(personaldetails.id::numeric,0)/1000000) as sorting, > floor(coalesce(personaldetails.masterid::numeric,p ersonaldetails.id) + > (coalesce(personaldetails.id::numeric,0)/1000000)) as ppid, > balance('MASTER-REGISTRATION',personaldetails.id) as balance, > balance('MASTER-REGISTRATION',pd2.id) as accbalance, I'm guessing point 6 is actually your problem - try it without the calls to balance() and see what that does to your timings. -- Richard Huxton Archonet Ltd ---------------------------(end of broadcast)--------------------------- TIP 5: Have you checked our extensive FAQ? http://www.postgresql.org/docs/faq |