SELECT t1.supplier_id, t1.ky_count, t1.ky_amount, IFNULL(t2.ky_refund_count,0) as ky_refund_count, IFNULL(t2.ky_refund_amount,0) as ky_refund_amount FROM ( SELECT a.supplier_id, count( DISTINCT c.order_no ) AS ky_count, SUM( IFNULL( c.record_amount, 0 )) / 100 AS ky_amount FROM settle_order a INNER JOIN settle_order_receipt b ON a.order_id = b.order_id INNER JOIN cash_withdrawal_record c ON b.third_trade_no = c.order_no WHERE a.is_del = 0 AND a.order_time >= '2023-05-28 00:00:00' AND a.order_time < '2023-05-29 00:00:00' AND a.order_type in (70,75) AND a.supplier_id IN (78,63,58,57,64,72,71,74,83,77,70,69,67,82,65,87,73,59,66,60,86,85,79,80,84,90) AND b.channel_code = 61 AND c.con_bank_account_no IN ( 247, 325 ) AND c.record_status = 1 AND c.record_time > '2023-05-01 00:00:00' GROUP BY a.supplier_id ) t1 LEFT JOIN ( SELECT a.supplier_id, count( DISTINCT b.order_no ) AS ky_refund_count, SUM( IFNULL( b.record_amount, 0 )) / 100 AS ky_refund_amount FROM settle_order_refund a INNER JOIN cash_withdrawal_record b ON a.third_refund_id = b.order_no WHERE a.is_del = 0 AND a.order_type in (70,75) AND a.apply_time >= '2023-05-28 00:00:00' AND a.apply_time < '2023-05-29 00:00:00' AND a.supplier_id IN (78,63,58,57,64,72,71,74,83,77,70,69,67,82,65,87,73,59,66,60,86,85,79,80,84,90) AND a.channel_code = 61 AND b.con_bank_account_no IN ( 247, 325 ) AND b.record_status = 5 AND b.record_time > '2023-05-01 00:00:00' GROUP BY a.supplier_id ) t2 ON t1.supplier_id = t2.supplier_id order by t1.supplier_id asc

时间: 2024-03-20 22:44:55 浏览: 141
以下是对该 SQL 语句的一些优化建议: 1. 使用 EXISTS 替代 DISTINCT + JOIN 在子查询中,使用了 DISTINCT 关键词去重,然后使用 JOIN 连接表。这样的方式效率较低,可以考虑使用 EXISTS 替代。具体来说,应该将连接条件改为 EXISTS 子查询的 WHERE 子句,如下所示: ``` SELECT a.supplier_id, COUNT(DISTINCT c.order_no) AS ky_count, SUM(IFNULL(c.record_amount, 0)) / 100 AS ky_amount FROM settle_order AS a INNER JOIN settle_order_receipt AS b ON a.order_id = b.order_id INNER JOIN cash_withdrawal_record AS c ON EXISTS ( SELECT 1 FROM cash_withdrawal_record AS d WHERE b.third_trade_no = d.order_no AND d.con_bank_account_no IN (247, 325) AND d.record_status = 1 AND d.record_time > '2023-05-01 00:00:00' ) WHERE a.is_del = 0 AND a.order_time >= '2023-05-28 00:00:00' AND a.order_time < '2023-05-29 00:00:00' AND a.order_type IN (70, 75) AND a.supplier_id IN (78, 63, 58, 57, 64, 72, 71, 74, 83, 77, 70, 69, 67, 82, 65, 87, 73, 59, 66, 60, 86, 85, 79, 80, 84, 90) AND b.channel_code = 61 GROUP BY a.supplier_id ``` 同样的,对于另一个子查询也可以使用 EXISTS 进行优化。 2. 使用 UNION ALL 代替 LEFT JOIN 在原 SQL 中,使用了 LEFT JOIN 来将两个子查询合并,可以考虑使用 UNION ALL 代替。使用 UNION ALL 的好处是它不会去重,而我们已经在子查询中使用了 GROUP BY 进行了去重,因此可以放心使用 UNION ALL。 ``` SELECT t.supplier_id, t.ky_count, t.ky_amount, t.ky_refund_count, t.ky_refund_amount FROM ( SELECT a.supplier_id, COUNT(DISTINCT c.order_no) AS ky_count, SUM(IFNULL(c.record_amount, 0)) / 100 AS ky_amount, 0 AS ky_refund_count, 0 AS ky_refund_amount FROM settle_order AS a INNER JOIN settle_order_receipt AS b ON a.order_id = b.order_id INNER JOIN cash_withdrawal_record AS c ON EXISTS ( SELECT 1 FROM cash_withdrawal_record AS d WHERE b.third_trade_no = d.order_no AND d.con_bank_account_no IN (247, 325) AND d.record_status = 1 AND d.record_time > '2023-05-01 00:00:00' ) WHERE a.is_del = 0 AND a.order_time >= '2023-05-28 00:00:00' AND a.order_time < '2023-05-29 00:00:00' AND a.order_type IN (70, 75) AND a.supplier_id IN (78, 63, 58, 57, 64, 72, 71, 74, 83, 77, 70, 69, 67, 82, 65, 87, 73, 59, 66, 60, 86, 85, 79, 80, 84, 90) AND b.channel_code = 61 GROUP BY a.supplier_id UNION ALL SELECT a.supplier_id, 0 AS ky_count, 0 AS ky_amount, COUNT(DISTINCT b.order_no) AS ky_refund_count, SUM(IFNULL(b.record_amount, 0)) / 100 AS ky_refund_amount FROM settle_order_refund AS a INNER JOIN cash_withdrawal_record AS b ON EXISTS ( SELECT 1 FROM settle_order_refund AS c WHERE c.third_refund_id = b.order_no AND c.is_del = 0 AND c.order_type IN (70, 75) AND c.apply_time >= '2023-05-28 00:00:00' AND c.apply_time < '2023-05-29 00:00:00' AND c.supplier_id IN (78, 63, 58, 57, 64, 72, 71, 74, 83, 77, 70, 69, 67, 82, 65, 87, 73, 59, 66, 60, 86, 85, 79, 80, 84, 90) AND c.channel_code = 61 ) WHERE b.con_bank_account_no IN (247, 325) AND b.record_status = 5 AND b.record_time > '2023-05-01 00:00:00' GROUP BY a.supplier_id ) AS t ORDER BY t.supplier_id ASC ``` 3. 使用索引优化查询 在子查询中,涉及到多个表的连表查询,需要使用到合适的索引才能提高查询效率。具体来说,可以考虑在以下字段上建立索引: - settle_order.is_del - settle_order.order_time - settle_order.order_type - settle_order.supplier_id - settle_order_receipt.order_id - settle_order_receipt.channel_code - settle_order_receipt.third_trade_no - cash_withdrawal_record.order_no - cash_withdrawal_record.con_bank_account_no - cash_withdrawal_record.record_status - cash_withdrawal_record.record_time - settle_order_refund.is_del - settle_order_refund.order_type - settle_order_refund.apply_time - settle_order_refund.supplier_id - settle_order_refund.channel_code - cash_withdrawal_record.order_no - cash_withdrawal_record.con_bank_account_no - cash_withdrawal_record.record_status - cash_withdrawal_record.record_time 以上是一些可能的优化建议,具体的优化方案需要根据实际情况进行调整。
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优化以下SQL select pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id, pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id, pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time, pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id, pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status, pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason, pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id, pao.deadline, pao.remind , s.name as supplierName, paod.amount, cm.return_status as returnStatus, cm.inventory_status as inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass, cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status as contractStatus, cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit from purchase_apply_order pao left join supplier s on pao.supplier_id = s.id left join ( SELECT GROUP_CONCAT(distinct p.product_name) product_name, sum(IFNULL(amount_tax, 0)) amount, apply_order_no from purchase_apply_order_details pa left join product p on p.pn_code = pa.product_code where p.company_id = 29 GROUP BY apply_order_no ) paod on paod.apply_order_no = pao.order_no left join contract_management cm on pao.contract_id = cm.id where pao.delete = 0 and pao.company_id = 29 and deadline <= '2023-05-25 15:34:00.01' and remind = 0 and arrival_status in( 0 , 1 ) order by pao.create_time desc;

SELECT * FROM ( SELECT t.user_id, t.user_name, t.org_id, t.org_name, t.parent_org_name, t.full_org_name, t.position_name, concat_ws('_', t.org1_name, t.org2_name, t.org3_name) belong_org_name, IFNULL(t1.total, 0) AS gdjsTotal, IFNULL(t1.zcTotal, 0) AS gdjsZcTotal, IFNULL(t1.yjTotal, 0) AS gdjsYjTotal, IFNULL(t1.csTotal, 0) AS gdjsCsTotal, IFNULL(t2.total, 0) AS dctjTotal, IFNULL(t2.zcTotal, 0) AS dctjZcTotal, IFNULL(t2.yjTotal, 0) AS dctjYjTotal, IFNULL(t2.csTotal, 0) AS dctjCsTotal, IFNULL(t3.total, 0) AS dcfkTotal, IFNULL(t3.zcTotal, 0) AS dcfkZcTotal, IFNULL(t3.yjTotal, 0) AS dcfkYjTotal, IFNULL(t3.csTotal, 0) AS dcfkCsTotal, IFNULL(t4.total, 0) AS fassTotal, IFNULL(t4.zcTotal, 0) AS fassZcTotal, IFNULL(t4.yjTotal, 0) AS fassYjTotal, IFNULL(t4.csTotal, 0) AS fassCsTotal, IFNULL(t5.total, 0) AS khhfTotal, IFNULL(t5.zcTotal, 0) AS khhfZcTotal, IFNULL(t5.yjTotal, 0) AS khhfYjTotal, IFNULL(t5.csTotal, 0) AS khhfCsTotal, IFNULL(t6.gdpfTotal, 0) AS gdpfTotal, ( SELECT COUNT(*) FROM cchp_close_statistics_his WHERE ( gdpf_user_id = t.user_id OR gdjs_user_id = t.user_id OR dctj_user_id = t.user_id OR dcfk_user_id = t.user_id OR fass_user_id = t.user_id OR khhf_user_id = t.user_id) AND DATE_FORMAT(feedback_time, '%Y-%m') = '2025-01') AS total, ( SELECT COUNT(*) FROM cchp_close_statistics_his WHERE ( (gdjs_user_id = t.user_id AND gdjs_type = 1) OR (dctj_user_id = t.user_id AND dctj_type = 1) OR (dcfk_user_id = t.user_id AND dcfk_type = 1) OR (fass_user_id = t.user_id AND fass_type = 1) OR (khhf_user_id = t.user_id AND khhf_type = 1)) AND DATE_FORMAT(feedback_time, '%Y-%m') = '2025-01') AS zcTotal, ( SELECT COUNT(*) FROM cchp_close_statistics_his WHERE ( (gdjs_user_id = t.user_id AND gdjs_type = 2) OR (dctj_user_id = t.user_id AND dctj_type = 2) OR (dcfk_user_id = t.user_id AND dcfk_type = 2) OR (fass_user_id = t.user_id AND fass_type = 2) OR (khhf_user_id = t.user_id AND khhf_type = 2)) AND DATE_FORMAT(feedback_time, '%Y-%m') = '2025-01') AS yjTotal, ( SELECT COUNT(*) FROM cchp_close_statistics_his WHERE ( (gdjs_user_id = t.user_id AND gdjs_type = 3) OR (dctj_user_id = t.user_id AND dctj_type = 3) OR (dcfk_user_id = t.user_id AND dcfk_type = 3) OR (fass_user_id = t.user_id AND fass_type = 3) OR (khhf_user_id = t.user_id AND khhf_type = 3)) AND DATE_FORMAT(feedback_time, '%Y-%m') = '2025-01') AS csTotal FROM cchp_current_his_processor t LEFT JOIN ( SELECT gdjs_user_id, COUNT(*) AS total, COUNT(gdjs_type = 1 OR NULL) AS zcTotal, COUNT(gdjs_type = 2 OR NULL) AS yjTotal, COUNT(gdjs_type = 3 OR NULL) AS csTotal FROM cchp_close_statistics_his WHERE 这个sql数据一多就查询很慢,帮我优化下

select c.area_name,c.mon,c.count,ifnull(c1.count1,0),ifnull(c1.count1,0)/count * 100 from ( select a.area_name,MONTH(pb.wlpb_create_time) mon,count(pb.id) count from bc_company_info b inner join ( select b.id from wk_ledger_produce_gather g left join bc_company_info b on b.id =g.bci_id where g.wlpg_year =2022 group by b.id HAVING sum(g.wlpg_total_produce) >=30 UNION select b.id from wk_plan_info p left join wk_plan_danger d on d.wpi_id = p.id left join bc_company_info b on b.id = p.bci_id where p.wpi_year = 2022 group by b.id HAVING sum(d.wpd_this_produce) >30) b1 on b1.id = b.id left join wk_ledger_produce_bill pb on pb.bci_id = b.id left join sys_area a on a.id = b.bci_city where pb.wlpb_create_time >'2023-01-01 00:00:00' group by b.bci_city,MONTH(pb.wlpb_create_time) ) c left join ( select a.area_name,MONTH(pb.wlpb_create_time) mon,count(pb.id) count1 from bc_company_info b inner join ( select b.id from wk_ledger_produce_gather g left join bc_company_info b on b.id = g.bci_id where g.wlpg_year =2022 group by b.id HAVING sum(g.wlpg_total_produce) >=30 UNION select b.id from wk_plan_info p left join wk_plan_danger d on d.wpi_id = p.id left join bc_company_info b on b.id = p.bci_id where p.wpi_year = 2022 group by b.id HAVING sum(d.wpd_this_produce) >30) b1 on b1.id = b.id left join wk_ledger_produce_bill pb on pb.bci_id = b.id left join sys_area a on a.id = b.bci_city where pb.wldb_end_from != 1 and pb.wlpb_create_time >'2023-01-01 00:00:00' group by b.bci_city,MONTH(pb.wlpb_create_time)) c1 on c.area_name = c1.area_name and c.mon = c1.mon 这段SQL怎么优化

SQL优化以下语句(select f.file_name,a.content_id,c.fd_objectid level_id,c.level level_val,e.fd_objectid manage_id, ifnull((select count(fd_objectid) from message_receiver where MESSAGE_ID = e.fd_objectid), 0) SEND_PEOPLE_NUM, ifnull((select sum(case when reply_content is not null and reply_content != '' then 1 else 0 end) from message_receiver where MESSAGE_ID = e.fd_objectid), 0) reply_num, ifnull((select count(fd_objectid) from (select * from (select *,row_number() over(partition by seq,sendee_tel order by call_stat desc) flag from GROUPCALL_DETAILS) where flag = '1') where busi_id like concat('%', a.content_id) and busi_id like concat(a.event_id, '%')), 0) call_all, ifnull((select sum(case when call_stat like '%0%' then 1 else 0 end) from (select * from (select *,row_number() over(partition by seq,sendee_tel order by call_stat desc) flag from GROUPCALL_DETAILS) where flag = '1') where busi_id like concat('%', a.content_id) and busi_id like concat(a.event_id, '%')), 0) call_jt from NWYJ_SERVICE.ECM_EMYA_ORDER a left join MAP_EMEC_PLAN_CONTENT b on b.FD_OBJECTID = a.CONTENT_ID left join MAP_EMEC_PLAN c on c.FD_OBJECTID = b.RELATION_ID left join MAP_EMEC_ORG_RELATION d on d.FD_OBJECTID = b.ORG_RELATION_ID left join MESSAGE_MANAGE e on e.BUSI_ID = a.FD_OBJECTID left join MAP_EMEC_PLAN_ORG_TREE f on f.fd_objectid = d.org_id where a.event_id = #{eventId} and a.is_del = '0' and b.is_del = '0' and c.is_del = '0' and d.is_del = '0' and f.is_del = '0' and c.fd_objectid = #{levelId} and e.fd_objectid is not null)

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