Este es mi ejemplo de consulta:
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;
Explicar de ese selecto:
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
El perfil de ese select me dice:
(139 total, Query took 4.4918 sec)
Copying to tmp table 4.488318
Y alguna información sobre las variables de 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
¿Por qué es tan lento copiar a la tabla tmp? ¿Cómo mejorar la velocidad de mi consulta?
PD: No puedo configurar MySQL porque mi proveedor de hosting no lo permite.
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¿Puede reducir la consulta solo a esas tablas absolutamente necesarias para producir su salida, o dividir la consulta en múltiples consultas separadas para extraer diferentes partes de la información?
Es muy posible que ejecute tres consultas separadas en sus datos será más rápido que ejecutar una enorme, especialmente cuando su base de datos comienza a crecer a decenas y cientos de miles de filas.
También he notado por mi propio trabajo que las
LEFT JOIN
consultas no son necesariamente las más eficientes, así que solo úselas cuando sea absolutamente necesario ...Espero que ayude :)
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