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#1 18/04/2009 05:03:17

solicel
Membre

Des requêtes lentes, plus de 10 minutes par requête!

Bonjour,
S'il vous plaît aidez moi, car cela fait des mois que nous travaillons sur cette application, et maintenant elle risque d'être inutile.
Voici d'abord une description de l'application:
Nous voulons interroger des bases de données contenant un très grand volume de données, mais très peu de tables (une table par base, 4 bases en total) avec des requêtes simples (select * from..... where ... order by..) avec la clause where pouvant contenir au maximum 5 individus (le nombre maximum des colonnes), mais en général une ou deux. Donc il n'y a pas de jointure.
La structure de table aussi est simple, ne contient pas de clé primaire.
La difficulté donc provient de la taille des données (environ 300 GO sans les indexes, un peu plus qu'un milliard de lignes par table) ce qui consomme énormément de temps.
Nous avons construit une indexe pour chaque colonne, mais un truc bizarre se passe: lorsque nous faisons une requête la ou on mentionne un élément de la première colonne, il répond très vite. Par contre si on essaye de travailler avec les autres indexes, il prend énormément de temps (10 minutes en moyenne). J'ai essayé de forcer l'usage des indexes avec SET ENABLE_SEQSCAN=OFF; mais en vain. Après avoir fouillé un peu, j'ai essayé EXPLAIN ANALYZE, qui donne les résultats suivant:

EXPLAIN analyze SELECT * FROM MYTABLE WHERE lower(part1)='cheese' ORDER BY freq;
"Sort  (cost=2282819.01..2284644.59 rows=730232 width=28) (actual time=223.852..254.722 rows=30220 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 1272kB"
"  ->  Index Scan using part1_idx on fourgrams  (cost=0.00..2179249.73 rows=730232 width=28) (actual time=0.146..104.445 rows=30220 loops=1)"
"        Index Cond: (lower((part1)::text) = 'cheese'::text)"
"Total runtime: 267.728 ms"

____________________________________________________
EXPLAIN analyze SELECT * FROM MYTABLE WHERE lower(part3)='cheese' ORDER BY freq;
"Sort  (cost=1385290.57..1386281.11 rows=396215 width=28) (actual time=148020.223..148066.516 rows=39521 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 1672kB"
"  ->  Bitmap Heap Scan on fourgrams  (cost=7319.24..1330838.65 rows=396215 width=28) (actual time=63.751..147810.306 rows=39521 loops=1)"
"        Recheck Cond: (lower((part3)::text) = 'cheese'::text)"
"        ->  Bitmap Index Scan on part3_idx  (cost=0.00..7220.19 rows=396215 width=0) (actual time=26.770..26.770 rows=39521 loops=1)"
"              Index Cond: (lower((part3)::text) = 'cheese'::text)"
"Total runtime: 148091.664 ms"

Ici vous voyez la différence entre les deux colonnes, et après avoir désactive le bitmapscan, voici le résultat:

EXPLAIN analyze SELECT * FROM MYTABLE WHERE lower(part4)='ham' ORDER BY freq DESC;
"Sort  (cost=99331.26..99391.83 rows=24225 width=28) (actual time=102213.560..102230.764 rows=11391 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 448kB"
"  ->  Index Scan using part4_idx on fourgrams  (cost=0.00..97028.17 rows=24225 width=28) (actual time=191.458..102162.929 rows=11391 loops=1)"
"        Index Cond: (lower((part4)::text) = 'ham'::text)"
"Total runtime: 102237.412 ms"

Donc le planificateur utilise les indexes, mais d'une manière inefficace.
Que faut-il faire pour accélérer l'exécution des requêtes? Surtout que la première colonne répond immédiatement.
Les indexes sont de type Btree.
Merci pour votre aide.

Hors ligne

#2 18/04/2009 08:43:01

Marc Cousin
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Bonjour,

Premier point, les statistiques ne sont pas assez fines. Ca ne résoudra pas le problème, mais au moins cela permettra à postgresql de prendre des décisions correctes. On le voit dans le 2e exemple, ou il se trompe d'un facteur 10.
Vu que les tables ont l'air gigantesques, et que la plupart des requêtes font des recherches sur des mots, j'aurais tendance à mettre la finesse maximale pour les stats, au moins pour commencer => passer default_statistics_targets à 1000.

Malgré tout cela n'est pas la cause du problème. PostgreSQL met 100 secondes ç aller chercher 10 000 enregistrements dans le dernier cas, c'est vraiment énorme. Je pense que :
- Soit le(s) disque(s) est vraiment très lent (il s'agit de quel OS ? peut on passer un benchmark disque pour vérifier que tout va bien ?)
- Soit il y a un gros problème de tuning de postgresql (que vaut shared_buffers ?) Pour des indexes sur une table de 300Go il vaut mieux avoir un cache conséquent, histoire de ne pas passer son temps à relire les pages 'branches' du btree.
- Soit il y a d'autres applications ou énormément d'autres requêtes sur le serveur, qui s'exécutent en concurrence avec celle ci.

Pour ce qui est de la différence de performance entre la première colonne et les autres, est ce que les données ne seraient pas (au moins approximativement) triées sur la première colonne, alors qu'elles sont réparties de façon plus aléatoires sur les autres ? Ca expliquerait les différences de performance sur celle ci.

Pour avancer, ce qui serait donc intéressant :
- la valeur de shared_buffers. work_mem aussi serait intéressant, je suis surpris des merge disk de 448kb
- la description de la table et des index
- la table est elle approximativement ordonnée sur la première colonne
- si le système est un unix, un bonnie++ ou un iozone sur les disques du sgbd
- ou a défaut un relevé de ce qui se passe sur les disques pendant la requête (via iostat -x par exemple sous Linux). Au passage donc quel est l'OS et quelle version de PostgreSQL ?


Marc.

Hors ligne

#3 18/04/2009 09:41:34

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Attention à default_statistics_targets. En la plaçant à une valeur si haute, la durée de l'ANALYZE peut être franchement désagréable (style une demi heure d'exécution).

Je suis aussi très intéressé par les réponses aux excellentes questions de Marc.


Guillaume.

Hors ligne

#4 20/04/2009 12:44:11

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

D'abord merci beaucoup pour votre réponse rapide, je suis vraiment très content de ce niveau de connaissances.
Commençons:

Marc Cousin a écrit :

Bonjour,
Premier point, les statistiques ne sont pas assez fines. Ca ne résoudra pas le problème, mais au moins cela permettra à postgresql de prendre des décisions correctes. On le voit dans le 2e exemple, ou il se trompe d'un facteur 10.
Vu que les tables ont l'air gigantesques, et que la plupart des requêtes font des recherches sur des mots, j'aurais tendance à mettre la finesse maximale pour les stats, au moins pour commencer => passer default_statistics_targets à 1000.

J'ai essayé cela auparavant, en faisant

ALTER TABLE la_table ALTER COLUMN col SET STATISTICS 100;

mais en vain.

Marc Cousin a écrit :

Malgré tout cela n'est pas la cause du problème. PostgreSQL met 100 secondes ç aller chercher 10 000 enregistrements dans le dernier cas, c'est vraiment énorme. Je pense que :
- Soit le(s) disque(s) est vraiment très lent (il s'agit de quel OS ? peut on passer un benchmark disque pour vérifier que tout va bien ?)
- Soit il y a un gros problème de tuning de postgresql (que vaut shared_buffers ?) Pour des indexes sur une table de 300Go il vaut mieux avoir un cache conséquent, histoire de ne pas passer son temps à relire les pages 'branches' du btree.
- Soit il y a d'autres applications ou énormément d'autres requêtes sur le serveur, qui s'exécutent en concurrence avec celle ci.

- le disque dur est nouveau, 1TO SATA Seagate, 32 MO de mémoire cache, 7200 Tr/Min, le serveur par contre est un peu vieux, Pentium 4 a 3Ghz, 1Go de ram.
- le OS est Ubuntu 8.04, le système de fichier est ex3.
- Concernant le tuning, j'ai essayé de forcer l'usage des indexes en jouant sur les enable_bitmapscan, enable_seqscan, random_page_cost.
- Quant au shared je n'ai pas touché, par défaut il est a 24MO
- Il n'y a pas d'applications concurrentes, le serveur est dédié a ça, avec très peu de connections simultanées.

Marc Cousin a écrit :

Pour ce qui est de la différence de performance entre la première colonne et les autres, est ce que les données ne seraient pas (au moins approximativement) triées sur la première colonne, alors qu'elles sont réparties de façon plus aléatoires sur les autres ? Ca expliquerait les différences de performance sur celle ci.

Exactement, les fichiers textes dont on s'est servi pour remplir les table étaient organisés par ordre alphabétique par rapport a la première colonne.

Marc Cousin a écrit :

Pour avancer, ce qui serait donc intéressant :
- la valeur de shared_buffers. work_mem aussi serait intéressant, je suis surpris des merge disk de 448kb
- la description de la table et des index
- la table est elle approximativement ordonnée sur la première colonne
- si le système est un unix, un bonnie++ ou un iozone sur les disques du sgbd
- ou a défaut un relevé de ce qui se passe sur les disques pendant la requête (via iostat -x par exemple sous Linux). Au passage donc quel est l'OS et quelle version de PostgreSQL ?

- les valeurs de shared_buffers et work_mem sont par défaut, donc 24Mbpour la première, et 1 MB pour la seconde (elle est désactivée dans le fichier de configuration)
- Nous avons 4 tables contenant chacune environ 1 milliard de lignes, les lignes sont des tokens d'un corpus extraits pour une application de fouille de données textuelles, donc elle sont presque aléatoires et contenant beaucoup de bruit, pas (ou peu) formalisables.
Pour chaque colonne on crée un index pour chaque colonne, car l'application nécessite l'interrogation de n'importe quelle colonne par des requetes, et pas seulement une. les indexes sont créés par la commande:

 CREATE INDEX part1_idx  ON tableau1  USING btree  (lower(part1));

- Voici le resultat de iostat:

avg-cpu:  %user   %nice %system %iowait  %steal   %idle
                 6.82    0.01    0.16    0.70    0.00   92.31

Device:         rrqm/s   wrqm/s     r/s      w/s      rsec/s   wsec/s    avgrq-sz  avgqu-sz   await   svctm  %util
fd0                  0.00     0.00        0.00    0.00     0.00      0.00       8.00        0.00          44.00   44.00   0.00
sda                 0.62    23.99        2.03    1.57     298.72   204.44   139.80     0.18         49.02   5.12     1.84

- Os: UBUNTU 8.04, Postgres 8.3.

Voila, j'espère que vous avez les informations nécessaires, je suis a haute disponibilité, donc si vous avez d'autres questions n'hésitez pas.
Merci encore une fois pour votre intérêt.
Très cordialement.

Hors ligne

#5 20/04/2009 13:41:15

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Il n'y a pas d'index sur part3 et part4 ?


Guillaume.

Hors ligne

#6 20/04/2009 14:11:18

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

gleu a écrit :

Il n'y a pas d'index sur part3 et part4 ?

Bien sur que oui, chaque colonne est indexée, j'ai mis juste la commande de la colonne 1 parce que les autres sont exactement pareilles.
Désolé pour ce manque de clarté.

Hors ligne

#7 20/04/2009 15:58:35

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

La taille des index est peut-être différente ? (pg_relation_size du nom de l'index)

Est-ce qu'il y a eu des mises à jour sur cette table ?


Guillaume.

Hors ligne

#8 20/04/2009 16:04:03

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

gleu a écrit :

La taille des index est peut-être différente ? (pg_relation_size du nom de l'index)

Voici les détails:

SELECT
pg_size_pretty(pg_relation_size('part1_idx')),
pg_size_pretty(pg_relation_size('part2_idx')),
pg_size_pretty(pg_relation_size('part3_idx')),
pg_size_pretty(pg_relation_size('part4_idx'));


"26 GB";"26 GB";"26 GB";"26 GB"
gleu a écrit :

Est-ce qu'il y a eu des mises à jour sur cette table ?

Pas du tout.
Autes informations pouvant être utiles (bien que je ne sais pas leurs significations):

SELECT indexrelname,idx_scan,idx_tup_read,idx_tup_fetch FROM pg_stat_user_indexes;
relname    idx_scan   idx_tup_ READ  idx_tup_fetch
part1_idx  96             50892498        6568055
part2_idx  92             6332078         1904234
part3_idx  60             39407053       11838481
part4_idx  35             1754708         474258

Hors ligne

#9 20/04/2009 16:09:14

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Le contenu de chaque colonne est identique ? J'aimerais avoir le résultat de la requête suivante :

select * from pg_stats where tablename='tableau1';

avant et après ANALYZE sur la table.


Guillaume.

Hors ligne

#10 20/04/2009 16:41:34

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

gleu a écrit :

Le contenu de chaque colonne est identique ? J'aimerais avoir le résultat de la requête suivante :

select * from pg_stats where tablename='tableau1';

avant et après ANALYZE sur la table.

avant le analyze:

"schemaname";"tablename";"attname";"null_frac";"avg_width";"n_distinct";"correlation"
"public";           "fourgrams";"part3";     0;               5;              58230;        0.143987
"public";           "fourgrams";"part1";     0;               5;             41785;         0.547902
"public";            "fourgrams";"part2";     0;              5;              54479;         0.100474
"public";            "fourgrams";"part4";     0;              5;              52760;         0.0777063
"public";            "fourgrams";"freq";      0;               8;              6003;         -0.0128146

Bien sur ici j'ai enlevé les colonnes ("most_common_vals";"most_common_freqs";"histogram_bounds") parce qu'elle sont très larges.
Le analyze est en cours d'exécution, je ne pense pas qu'il y aura de différences dans les résultats, parce que je l'ai exécuté plusieurs fois, sans rien changer dans la table, en tout cas je vous poste le résultat des qu'il soit affiché.

Dernière modification par solicel (20/04/2009 16:44:35)

Hors ligne

#11 20/04/2009 16:48:46

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

C'est dommage de ne pas avoir inclus ces colonnes, ce sont les plus intéressantes dans le cas de colonnes texte.


Guillaume.

Hors ligne

#12 20/04/2009 17:04:00

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Comme on ne peut pas attacher des fichiers, je suis obligé dans ce cas de deviser chaque résultat sur deux parties, car la limite des messages du forum est de 64ko, tandis que le résultat est de taille 102Ko.
Commençons:
Avant analyze:

"schemaname";"tablename";"attname";"null_frac";"avg_width";"n_distinct";"most_common_vals";"most_common_freqs";"histogram_bounds";"correlation"
"public";"fourgrams";"part3";0;5;58230;"{"","",the,and,-,of,to,:,a,<UNK>,in,(,),for,""\"""",is,on,that,/,with,'s,by,or,|,are,at,as,be,from,not,this,&,you,it,I,an,;,',...,],>,your,was,$,The,will,[,?,1,all,!,have,2,has,can,which,more,*,their,one,his,we,but,they,A,my,=,about,any,its,up,our,3,other,0,+,so,who,when,he,--,%,out,new,been,if,4,were,#,no,.,also,some,them,these,had,would,may,time,two,2005,free,into,only,5,her,over,than,@,just,me,""\\"",people,6,use,through,do,should,New,such,what,10,first,there,PM,12,now,information,many,2004,each,data,like,very,work,7,US,get,said,she,·,does,here,2003,most,under,In,de,see,services,C,after,being,make,»,those,business,system,2006,8,service,then,home,before,help,us,AM,high,how,must,him,because,including,shall,between,sex,Home,day,made,site,where,Services,..,~,good,i,online,20,even,based,during,For,much,used,using,well,own,""{"",15,9,could,file,three,Web,x,All,back,different,take,To,year,2002,Center,last,program,B,software,years,off,page,school,News,American,available,set,support,THE,web,women,pm,within,You,£,big,down,Information,long,<,Hotel,little,100,public,research,This,both,Business,while,Your,full,great,per,life,products,2000,am,did,line,number,since,still,University,part,small,11,24,Inc.,provide,©,another,County,Free,January,right,second,AND,Service,City,every,management,old,same,without,14,25,best,OF,against,days,X,young,13,go,May,Â,area,E,Management,way,hot,power,related,And,DVD,House,M,major,students,18,2001,children,development,found,John,s,something,®,following,local,men,place,teen,UK,book,change,D,design,find,health,R,30,game,process,really,too,video,water,""}"",50,company,Park,S,state,times,type,World,control,model,N,need,16,form,four,name,Of,several,Black,Group,love,training,value,around,issues,It,list,More,On,Program,size,Street,world,`,e,Internet,open,quality,real,results,special,System,0.00,activities,always,God,Jan,music,Page,programs,rate,show,systems,case,CD,either,general,Health,include,less,please,Software,State,TO,21,access,again,family,million,Music,No,order,play,T,17,car,Club,contact,man,complete,email,General,look,National,School,section,^,black,community,December,got,group,items,job,June,key,One,top,call,check,English,international,J.,making,North,Online,others,plan,product,Real,required,Research,search,Series,Site,things,class,come,current,end,might,next,return,security,stories,Systems,test,Time,further,L,network,PC,problems,property,put,San,single,standard,total,USA,West,26,28,bad,cost,given,II,language,level,March,news,nude,project,provides,until,users,Windows,Day,few,gay,Hotels,low,My,P,porn,report,says,South,study,upon,version,19,1998,23,analysis,code,Company,girl,government,IN,interest,large,market,October,once,problem,room,Search,United,White,areas,hours,never,Phone,private,'re,Report,Road,tools,become,better,Board,Date,give,going,History,human,London,material,November,post,rather,read,resources,specific,together,27,buy,called,changes,child,Contact,course,experience,main,mature,minutes,party,policy,Products,values,week,06,address,America,Art,Blue,content,Development,function,hand,income,know,links,near,night,offer,office,pay,percent,performance,t,team,today,With,....,above,body,Book,CA,Canada,F,food,girls,hear,High,hotel,individual,link,members,Red,space,St.,TV,Video,working,already,below,Education,having,includes,least,money,needs,price,Project,reading,Technology,website,white,yet,across,action,away,came,College,common,Community,computer,Digital,East,et,features,files,industry,July,learning,M.,means,n,O,Other,position,Security,September,staff,'ve,want,went,22,31,40,About,Air,applications,care,credit,Data,energy,February,hard,history,law,left,movie,national,pages,poker,Power,requirements,Review,rights,say,start,tax,teens,various,Association,companies,conditions,costs,Council,create,date,groups,growth,K,light,Network,NEW,question,technology,View,w,01,add,application,Best,download,equipment,feel,future,higher,International,materials,meeting,No.,Our,personal,Pro,provided,Public,social,though,turn,words,writing,al,allow,Beach,building,client,Conference,country,education,far,format,games,heart,included,jobs,Lake,let,Library,live,m,Mr.,Open,point,possible,Posts,received,review,run,series,server,short,Special,style,Virginia,along,Central,Department,doing,economic,FOR,Forum,Game,Guide,H,Human,lost,plans,professional,recent,Robert,Society,standards,story,subject,travel,user,We,1997,activity,benefits,bit,Committee,etc.,everything,fast,From,gallery,head,insurance,keep,known,Member,month,offers,rates,Read,save,side,St,treatment,V,view,whole,why,added,amount,art,asked,By,c,C.,close,command,cut,existing,final,G,Games,getting,image,images,important,Insurance,IT,James,living,medical,meet,phone,plus,political,risk,S.,sales,shows,studies,tell,Travel,What,0.000,05,1996,1999,60,°,August,Box,color,Computer,David,due,easy,especially,events,field,Gold,held,house,Is,la,lines,Media,move,non,picture,points,Rating,request,response,Set,sound,states,strong,text,thi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Hors ligne

#13 20/04/2009 17:05:58

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Avant analyze (suite):

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Hors ligne

#14 20/04/2009 17:08:22

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Apres Analyze:

"schemaname";"tablename";"attname";"null_frac";"avg_width";"n_distinct";"most_common_vals";"most_common_freqs";"histogram_bounds";"correlation"
"public";"fourgrams";"part3";0;5;57603;"{"","",the,-,and,of,to,:,a,<UNK>,(,in,),for,""\"""",is,that,on,/,with,by,or,'s,|,be,at,are,from,as,not,I,this,an,it,you,...,>,;,&,],',was,your,$,The,will,?,[,1,have,all,!,their,can,has,2,but,which,more,one,=,A,other,they,we,my,our,3,*,his,any,about,who,--,up,new,+,0,he,%,4,were,when,its,#,out,so,some,if,5,been,no,also,into,may,her,these,would,.,New,had,over,only,free,time,10,each,them,what,information,2005,people,me,@,than,there,do,work,such,just,through,two,7,like,should,make,use,data,""\\"",after,6,must,get,said,now,2004,where,de,very,first,under,·,»,because,being,8,Home,then,before,good,made,US,2003,could,those,most,how,PM,many,£,In,shall,system,business,i,AM,different,available,between,him,she,here,online,see,based,~,15,service,sex,used,off,2006,site,12,16,30,""{"",home,public,support,including,us,back,All,B,using,year,..,11,OF,services,Services,during,high,right,web,C,page,well,within,does,three,100,go,great,still,x,News,20,Free,years,even,set,2000,THE,around,E,group,9,s,take,<,County,life,own,power,teen,14,2001,health,John,2002,25,M,S,Center,down,Web,without,both,help,products,students,am,International,Of,program,too,while,best,last,name,To,water,did,little,another,big,include,local,Street,file,For,against,D,design,much,On,Your,""}"",And,AND,day,May,More,University,American,control,Group,Hotel,line,part,every,family,Inc.,P,real,This,©,experience,less,per,School,You,CD,long,small,until,change,City,state,17,always,current,full,Information,school,women,call,Hotels,provide,software,things,About,children,gay,Business,never,area,either,person,special,State,T,13,1999,old,show,something,test,again,development,found,game,place,view,21,Â,access,F,given,II,network,Page,Software,TO,DVD,give,January,know,level,Management,pictures,R,video,way,0.00,50,live,love,man,members,men,need,open,working,`,e,few,form,Health,House,Internet,N,please,pm,research,UK,date,government,large,management,market,Online,quality,rate,young,23,black,files,hours,n,several,systems,W,06,18,better,Education,following,girls,room,Service,since,type,19,car,days,food,IN,Jan,list,March,million,night,order,problem,put,read,South,world,above,music,point,required,Research,results,times,upon,X,22,complete,FOR,items,law,Music,National,problems,project,Series,server,With,Black,code,come,Community,company,It,left,low,major,next,really,report,specific,St.,value,World,A.,®,Board,called,Club,Company,From,High,light,near,number,Search,size,book,case,changes,country,English,field,find,four,L,making,needs,No,Park,performance,post,process,Program,same,says,search,text,week,26,action,application,April,Contact,G,model,Office,Other,programs,run,Systems,training,TV,create,ever,function,general,General,Guide,June,look,My,One,received,second,standard,West,24,among,ass,By,Date,enough,hot,issues,London,might,news,offers,professional,social,System,USA,via,What,white,^,appropriate,Art,Day,due,end,human,includes,mature,member,others,play,Price,related,start,story,today,View,want,01,°,contact,Design,email,features,m,North,personal,position,provided,PST,say,security,simple,version,We,written,away,December,financial,J.,Network,porn,product,Products,provides,rates,September,'ve,add,additional,air,America,Book,building,College,games,growth,hard,house,job,learning,November,offer,wrote,actually,areas,body,class,Department,digital,early,education,July,Lake,Phone,student,values,29,along,basic,buy,child,computer,getting,God,lesbian,needed,percent,review,source,Time,treatment,user,White,....,27,40,already,analysis,books,card,check,community,East,energy,et,final,five,Forum,girl,Government,increase,individual,makes,once,PC,section,Sports,St,staff,together,various,05,28,below,Blue,Car,Data,download,going,got,hand,latest,money,national,October,paper,private,property,rather,sites,team,yet,03,31,activities,An,August,Best,CA,care,cell,Council,evidence,film,Gallery,head,Law,link,means,models,Our,pages,phone,Power,price,return,Road,share,Site,Technology,teens,top,visit,across,associated,common,cost,Development,etc.,First,huge,issue,later,main,media,Mr.,non,particular,period,Plan,request,requirements,running,S.,save,self,side,think,Top,Video,website,Canada,David,far,gallery,How,If,image,James,keep,language,Life,office,Open,pay,picture,policy,possible,previous,production,reading,'S,taken,tax,total,Training,Windows,China,course,Court,easy,included,India,levels,Name,natural,NEW,nude,original,outside,points,present,questions,Report,San,solutions,sound,space,study,technology,though,tools,United,w,0.000,1998,allow,art,Association,Books,British,Care,cases,color,companies,countries,credit,Digital,drive,E.,event,Great,guide,H,hotel,important,King,List,mail,meet,movies,popular,prices,range,Show,someone,trade,Washington,works,anything,become,Buy,came,certain,Click,Director,economic,effect,effects,environment,history,insurance,interest,international,IT,M.,material,medical,Michael,Microsoft,movie,nothing,package,players,political,practice,Red,sales,Society,speed,taki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Hors ligne

#15 20/04/2009 17:10:26

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Après Analyze (suite):

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Hors ligne

#16 21/04/2009 11:49:36

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Alors, ces résultats ne vous disent rien?

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#17 21/04/2009 20:24:54

Marc Cousin
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Désolé pour le manque de réponses ...

- Si la première colonne est triée et pas les autres, la différence de performances s'explique.

Il ne nous reste 'plus' qu'à rendre les requêtes sur les trois autres colonnes rapides ...
- De mon côté, je serais intéressé par revoir les explain après le passage des stats (est ce qu'au moins maintenant les estimations sont bonnes ?)
- Le shared_buffers est vraiment très petit pour ce genre de volumétrie. Si le serveur est dédié postgresql, vous pouvez commencer par mettre 1/3 de la ram en shared_buffers. Attention, postgresql va certainement raler au redémarrage sur le shmmax trop petit, qu'il faudra étendre, via le sysctl approprié
Si cela se produit :
>sysctl kernel/shmmax
vous donne la valeur courante
sysctl -w kernel/shmmax=xxxxxxx pour mettre la nouvelle valeur (postgresql vous la donne, normalement, sinon essayez d'augmenter la valeur jusqu'à ce que ca passe smile )
et recopiez le "kernel/shmmax=xxxxxxx "dans /etc/sysctl.conf pour que ça reste après le prochain reboot
- Si on est en ubuntu, je présume que le scheduler disque est cfq. Des discussions qui peuvent ressortir régulièrement sur les mailing list tuning de postgresql, il est souvent intéressant de repasser en scheduler deadline. Pour faire ca temporairement (sans avoir besoin de rebooter, traffiquer des paramètres kernel et tout), il suffit de repérer le(s) device disque et écrire deadline comme scheduler :
echo 'deadline' > /sys/block/sda/queue/scheduler
(à répéter autant  de fois qu'il y a de disques)

Ce qui serait intéressant c'est de faire chacune de ces opérations une par une, au cas ou l'une d'entre elles débloquerait le problème, qu'on sache laquelle.

Après, si les performances restent mauvaises, ce serait intéressant de mesurer la quantité d'IO que génère cette requête (avec un log_executor_stats)


Marc.

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#18 21/04/2009 22:12:58

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Je n'ai rien trouvé de probant dans les résultats de pg_stats. Reste donc à voir avec les réponses aux questions de Marc.


Guillaume.

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#19 22/04/2009 13:12:07

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Bonjour,
Merci encore une fois pour vous deux.
Pour les questions de Marc, je commence une par une comme vous avez dit, je vous copie les résultats des que les ai, je viens de commencer avec les set statistics et explain.
A tout a l'heure.

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#20 22/04/2009 14:46:13

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

Voici les explains pour une même requête:

explain analyze select * from fourgrams where lower(part1)='milk' order by freq desc

"Sort  (cost=85715.66..85788.58 rows=29166 width=28) (actual time=989.862..1041.283 rows=43797 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 1776kB"
"  ->  Index Scan using part1_idx on fourgrams  (cost=0.00..82901.71 rows=29166 width=28) (actual time=334.769..876.553 rows=43797 loops=1)"
"        Index Cond: (lower((part1)::text) = 'milk'::text)"
"Total runtime: 1060.206 ms"

------------------------------------------------------------------------------------------------------------------------------------------------------------------------
explain analyze select * from fourgrams where lower(part2)='milk' order by freq desc

"Sort  (cost=95474.27..95534.26 rows=23996 width=28) (actual time=54981.544..55042.934 rows=51203 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 2064kB"
"  ->  Bitmap Heap Scan on fourgrams  (cost=574.70..93193.00 rows=23996 width=28) (actual time=95.337..54804.747 rows=51203 loops=1)"
"        Recheck Cond: (lower((part2)::text) = 'milk'::text)"
"        ->  Bitmap Index Scan on part2_idx  (cost=0.00..568.71 rows=23996 width=0) (actual time=60.391..60.391 rows=51203 loops=1)"
"              Index Cond: (lower((part2)::text) = 'milk'::text)"
"Total runtime: 55064.261 ms"

------------------------------------------------------------------------------------------------------------------------------------------------------------------------
explain analyze select * from fourgrams where lower(part3)='milk' order by freq desc

"Sort  (cost=91976.84..92034.59 rows=23100 width=28) (actual time=206224.938..206288.703 rows=52850 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 2144kB"
"  ->  Bitmap Heap Scan on fourgrams  (cost=555.60..89788.09 rows=23100 width=28) (actual time=2725.524..205967.449 rows=52850 loops=1)"
"        Recheck Cond: (lower((part3)::text) = 'milk'::text)"
"        ->  Bitmap Index Scan on part3_idx  (cost=0.00..549.83 rows=23100 width=0) (actual time=2688.857..2688.857 rows=52850 loops=1)"
"              Index Cond: (lower((part3)::text) = 'milk'::text)"
"Total runtime: 206310.657 ms"

------------------------------------------------------------------------------------------------------------------------------------------------------------------------
explain analyze select * from fourgrams where lower(part4)='milk' order by freq desc

"Sort  (cost=96299.54..96360.06 rows=24208 width=28) (actual time=304220.039..304296.193 rows=46700 loops=1)"
"  Sort Key: freq"
"  Sort Method:  external merge  Disk: 1912kB"
"  ->  Bitmap Heap Scan on fourgrams  (cost=576.29..93997.82 rows=24208 width=28) (actual time=14647.348..303898.506 rows=46700 loops=1)"
"        Recheck Cond: (lower((part4)::text) = 'milk'::text)"
"        ->  Bitmap Index Scan on part4_idx  (cost=0.00..570.24 rows=24208 width=0) (actual time=14600.721..14600.721 rows=46700 loops=1)"
"              Index Cond: (lower((part4)::text) = 'milk'::text)"
"Total runtime: 304316.153 ms"

Alors ça a l'aire d'être mieux non?

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#21 22/04/2009 15:29:44

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Question peut-être complètement stupide, mais quelle locale utilises-tu ? si tu n'utilises pas C, peux-tu re-créer les index avec la classe text_pattern_ops ? cela donne la requête suivante :

CREATE INDEX part1_idx  ON tableau1  USING btree  (lower(part1) text_pattern_ops);

Ensuite les ANALYZE, et les EXPLAIN ANALYZE.


Guillaume.

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#22 22/04/2009 15:39:55

gleu
Administrateur

Re : Des requêtes lentes, plus de 10 minutes par requête!

Question complémentaire, il y a combien de lignes dans la table indexée ?


Guillaume.

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#23 22/04/2009 15:43:19

solicel
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

gleu a écrit :

Question peut-être complètement stupide, mais quelle locale utilises-tu ? si tu n'utilises pas C, peux-tu re-créer les index avec la classe text_pattern_ops ? cela donne la requête suivante :

CREATE INDEX part1_idx  ON tableau1  USING btree  (lower(part1) text_pattern_ops);

Ensuite les ANALYZE, et les EXPLAIN ANALYZE.

Je ne suis pas sur d'avoir votre question.
C'est quoi la locale? Comment la connaitre?
J'ai essayé de trouver la solution tout seul, mais j'ai rien trouvé.
Sinon je vais essayer de refaire un index dans une autre copie de la base avec cette commande pour la 2éme colonne.

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#24 22/04/2009 15:45:52

Marc Cousin
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

En ce qui me concerne, cela me semble très 'raisonnable' comme temps de réponse : 55 secondes pour retourner 50 000 enregistrements, cela fait 1ms par enregistrement. Si ils sont réellement éparpillés sur le disque, on ne pourra pas faire beaucoup mieux. Enfin si, avec la 8.4, plein de disques le effective_io_concurrency mais on change un peu de budget là.

A part ça on voit aussi qu'il n'est plus dans les choux au niveau statistiques (un rapport 2 ça n'est pas si mal). Ca lui permet au moins de faire du bitmap_index_scan, ce qui me semble le plan raisonnable pour ce genre de requête.

On peut passer à l'étape d'après: voir ce que ça donne avec un plus gros cache (après le test demandé par gleu, qui peut permettre de gagner un peu aussi).


Marc.

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#25 22/04/2009 15:48:13

Marc Cousin
Membre

Re : Des requêtes lentes, plus de 10 minutes par requête!

la locale, c'est ce qui détermine l'ordre de tri physique des index sur le cluster entre autres.

On peut l'obtenir par exemple avec pg_controldata /chemin/vers/rep/cluster.


Marc.

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