Voici mon exemple de requête:
SELECT
nickname,
CASE class_id
WHEN 1 THEN 'Druid'
WHEN 2 THEN 'Necromancer'
WHEN 3 THEN 'Mage'
WHEN 4 THEN 'Priest'
WHEN 5 THEN 'Warrior'
WHEN 6 THEN 'Stalker'
WHEN 7 THEN 'Paladin'
WHEN 8 THEN 'Psionic'
END class_name,
ROUND(AVG(level),2) level,
ROUND(AVG(tabard_id),2) tabard,
CASE rank_id
WHEN 1 THEN 'Leader'
WHEN 2 THEN 'Officer'
WHEN 3 THEN 'Veteran'
WHEN 4 THEN 'HonoryMember'
WHEN 5 THEN 'OrdinaryMember'
WHEN 6 THEN 'Alt'
WHEN 7 THEN 'Apprentice'
WHEN 8 THEN 'Penalty'
END rank_name,
ROUND(AVG(loyality),2) loyality,
ROUND((MAX(authority)-MIN(authority))/AVG(tabard_id)) authority_effective,
MAX(authority)-MIN(authority) authority_delta,
MIN(authority) authority_begin,
MAX(authority) authority_end
FROM users
LEFT JOIN level_history ON level_history.users_id = users.id
LEFT JOIN tabard_history ON tabard_history.users_id = users.id
LEFT JOIN rank_history ON rank_history.users_id = users.id
LEFT JOIN loyality_history ON loyality_history.users_id = users.id
LEFT JOIN authority_history ON authority_history.users_id = users.id
LEFT JOIN guilds_has_users ON guilds_has_users.users_id = users.id
LEFT JOIN report ON report.id = authority_history.report_id
AND report.id = level_history.report_id
AND report.id = loyality_history.report_id
AND report.id = rank_history.report_id
AND report.id = tabard_history.report_id
WHERE report.date BETWEEN '2011-10-24 00:00:00' AND '2011-10-30 23:59:59'
AND guilds_has_users.active = 1
GROUP BY users.id;
Expliquez ce choix:
id select_type table type possible_keys key key_len ref rows Extra
1 SIMPLE guilds_has_users ref fk_guilds_has_users_users1,active_IDX active_IDX 1 const 139 Using where; Using temporary; Using filesort
1 SIMPLE users eq_ref PRIMARY PRIMARY 4 z92985_orlandino.guilds_has_users.users_id 1
1 SIMPLE level_history ref fk_level_history_users1,fk_level_history_report1,u... fk_level_history_users1 4 z92985_orlandino.guilds_has_users.users_id 1 Using where
1 SIMPLE report eq_ref PRIMARY,date_IDX,id_date_IDX PRIMARY 4 z92985_orlandino.level_history.report_id 1 Using where
1 SIMPLE tabard_history ref fk_tabard_history_users1,fk_tabard_history_report1... fk_tabard_history_users1 4 z92985_orlandino.level_history.users_id 1 Using where
1 SIMPLE rank_history ref fk_rank_history_users1,fk_rank_history_report1,use... fk_rank_history_users1 4 z92985_orlandino.users.id 1 Using where
1 SIMPLE loyality_history ref fk_loyality_history_users1,fk_loyality_history_rep... fk_loyality_history_users1 4 z92985_orlandino.rank_history.users_id 1 Using where
1 SIMPLE authority_history ref fk_authority_history_users1,fk_authority_history_r... fk_authority_history_users1 4 z92985_orlandino.level_history.users_id 1 Using where
Le profilage de cette sélection me dit:
(139 total, Query took 4.4918 sec)
Copying to tmp table 4.488318
Et quelques informations sur les variables MySQL:
SHOW VARIABLES LIKE '%buffer%';
Variable_name Value
bulk_insert_buffer_size 8388608
join_buffer_size 131072
key_buffer_size 12884901888
myisam_sort_buffer_size 8388608
net_buffer_length 16384
preload_buffer_size 32768
read_buffer_size 131072
read_rnd_buffer_size 25165824
sort_buffer_size 2097144
sql_buffer_result OFF
Pourquoi la copie vers la table tmp est-elle si lente? Comment améliorer la vitesse de ma requête?
PS: je ne peux pas configurer MySQL car mon hébergeur ne le permettra pas.
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Pouvez-vous éventuellement réduire la requête aux seules tables absolument nécessaires pour produire votre sortie, ou diviser la requête en plusieurs requêtes distinctes pour extraire différentes parties des informations?
Vous constaterez peut-être que l'exécution de trois requêtes distinctes sur vos données sera plus rapide que l'exécution d'une énorme - en particulier lorsque votre base de données commence à atteindre des dizaines et des centaines de milliers de lignes.
J'ai également remarqué de mon propre travail que les
LEFT JOIN
requêtes ne sont pas nécessairement les plus efficaces, donc ne les utilisez que lorsque cela est absolument nécessaire ...J'espère que cela pourra aider :)
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