我有以下查询(其中一些是代码生成的,所以原谅了糟糕的格式化):
SELECT DISTINCT COALESCE(gi.start_time, '') start_time,
COALESCE(b.name, '') bank,
COALESCE(a.id, '') account_id,
COALESCE(a.account_number, '') account_number,
COALESCE(at.code, '') account_type,
COALESCE(a.open_date, '') open_date,
COALESCE(a.interest_rate, '') interest_rate,
COALESCE(a.maturity_date, '') maturity_date,
COALESCE(a.opening_balance, '') opening_balance,
COALESCE(a.has_e_statement, '') has_e_statement,
COALESCE(a.has_bill_pay, '') has_bill_pay,
COALESCE(a.has_overdraft_protection, '') has_overdraft_protection,
COALESCE(a.balance, '') balance,
COALESCE(a.business_or_personal, '') business_or_personal,
COALESCE(a.cumulative_balance, '') cumulative_balance,
COALESCE(c.customer_number, '') customer_number,
COALESCE(c.social_security_number, '') social_security_number,
COALESCE(c.name, '') customer_name,
COALESCE(c.phone, '') phone,
COALESCE(c.deceased, '') deceased,
COALESCE(c.do_not_mail, '') do_not_mail,
COALESCE(cdob.date_of_birth, '') date_of_birth,
COALESCE(ad.line1, '') line1,
COALESCE(ad.line2, '') line2,
COALESCE(ad.city, '') city,
COALESCE(s.name, '') state,
COALESCE(ad.zip, '') zip,
COALESCE(o.officer_number, '') officer_number,
COALESCE(o.name, '') officer_name,
COALESCE(po.line1, '') po_box,
COALESCE(po.city, '') po_city,
COALESCE(po_state.name, '') po_state,
COALESCE(po.zip, '') zip,
COALESCE(br.number, '') branch_number,
COALESCE(cd_type.code, '') cd_type,
COALESCE(mp.product_number, '') macatawa_product_number,
COALESCE(mp.product_name, '') macatawa_product_name,
COALESCE(pt.name, '') macatawa_product_type,
COALESCE(hhsc.name, '') harte_hanks_service_category,
COALESCE(mp.hoh_hierarchy, '') hoh_hierarchy,
COALESCE(cft.name, '') core_file_type,
COALESCE(oa.line1, '') original_address_line1,
COALESCE(oa.line2, '') original_address_line2,
COALESCE(uc.code, '') use_class
FROM account a
JOIN customer c ON a.customer_id = c.id
JOIN officer o ON a.officer_id = o.id
JOIN account_address aa ON aa.account_id = a.id
LEFT JOIN account_po_box apb ON apb.account_id = a.id
JOIN address ad ON aa.address_id = ad.id
JOIN original_address oa ON oa.address_id = ad.id
LEFT JOIN address po ON apb.address_id = po.id
JOIN state s ON s.id = ad.state_id
LEFT JOIN state po_state ON po_state.id = po.state_id
LEFT JOIN branch br ON a.branch_id = br.id
JOIN account_import ai ON a.account_import_id = ai.id
JOIN generic_import gi ON gi.id = ai.generic_import_id
JOIN import_bundle ib ON gi.import_bundle_id = ib.id
JOIN bank b ON b.id = ib.bank_id
LEFT JOIN customer_date_of_birth cdob ON cdob.customer_id = c.id
LEFT JOIN cd_type ON a.cd_type_id = cd_type.id
LEFT JOIN account_macatawa_product amp ON amp.account_id = a.id
LEFT JOIN macatawa_product mp ON mp.id = amp.macatawa_product_id
LEFT JOIN product_type pt ON pt.id = mp.product_type_id
LEFT JOIN harte_hanks_service_category hhsc ON hhsc.id = mp.harte_hanks_service_category_id
LEFT JOIN core_file_type cft ON cft.id = mp.core_file_type_id
LEFT JOIN use_class uc ON a.use_class_id = uc.id
LEFT JOIN account_type at ON a.account_type_id = at.id
WHERE 1
AND gi.active = 1
AND b.id = 8 AND ib.is_finished = 1
ORDER BY a.id
LIMIT 10
我在所有相应列上都有索引,包括account.id
AKA a.id
。尽管如此,如果删除ORDER BY
,我的查询会显着加快(从10秒到0秒)。这是为什么?
答案 0 :(得分:5)
因为使用ORDER BY,它必须检索所有行以对它们进行排序,以便通过a.id获取前10行。如果没有ORDER BY,它可以简单地检索它找到的前10行并忽略其余的行。
另外,在分析查询时要小心:第一个可以用数据填充缓存,后续查询更快,不是因为SQL不同,而是因为它从缓存而不是磁盘中提取数据。