select s2.s_name,ifnull(round(avg(s1.s_score),1),0) as avg_score from score s1 inner join student s2 on s1.s_id = s2.s_id group by s1.s_id,s2.s_name where avg_score is null;这句sql中的错误

时间: 2023-06-12 21:07:14 浏览: 66
这句 SQL 语句中的错误是 `where` 关键字位置不正确,应该将 `where` 关键字放在 `inner join` 之后的条件中,正确的 SQL 语句如下: ```sql select s2.s_name,ifnull(round(avg(s1.s_score),1),0) as avg_score from score s1 inner join student s2 on s1.s_id = s2.s_id where avg_score is null group by s1.s_id,s2.s_name; ``` 在这个 SQL 语句中,我们使用了 `inner join` 将成绩表 `score` 中的学生 ID 与学生表 `student` 中的学生 ID 进行关联,然后使用 `group by` 对结果进行分组,最后使用 `ifnull` 函数将平均分为空的学生设置为 0。
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SELECT P.option_name, IFNULL(COUNT(V.vote_option_code), 0) AS poll select * FROM cus_vote_option AS P LEFT JOIN cus_vote_user AS V ON P.code = V.vote_option_code and P.vote_code = 'vote0000000006' SELECT P.option_name, IFNULL(COUNT(V.vote_option_code), 0) AS poll select * FROM cus_vote_option AS P LEFT JOIN cus_vote_user AS V ON P.code = V.vote_option_code and P.vote_code = 'vote0000000006' and V.app_id = 2958 GROUP BY P.option_name;错误的查出了V.vote_code 不等于 vote0000000006的数据

您好!根据您的描述,您的查询语句似乎有一个错误,导致无法正确地筛选出`V.vote_code`等于`vote0000000006`的数据。请检查您的查询语句,并确保正确使用了条件和运算符。以下是一个修正后的示例查询语句: ```sql SELECT P.option_name, IFNULL(COUNT(V.vote_option_code), 0) AS poll FROM cus_vote_option AS P LEFT JOIN cus_vote_user AS V ON P.code = V.vote_option_code WHERE P.vote_code = 'vote0000000006' AND V.app_id = 2958 GROUP BY P.option_name; ``` 修正后的查询语句中,我们将筛选条件`P.vote_code = 'vote0000000006'`移动到了`WHERE`子句中,并添加了筛选条件`V.app_id = 2958`以满足您的要求。同时,我们还将`GROUP BY`子句移动到了正确的位置。请根据您的实际需求修改这个示例查询语句,以满足您的具体要求。希望对您有所帮助!

优化成mysql脚本,不使用full outer join;SELECT COALESCE(storage_in.in_date, storage_out.out_date) AS date, COALESCE(storage_in.product_name, storage_out.product_name) AS product_name, IFNULL(storage_in.quantity,0) AS IN_, IFNULL(storage_out.quantity,0) AS OUT_, SUM(IFNULL(storage_in.quantity,0) - IFNULL(storage_out.quantity,0)) OVER (PARTITION BY COALESCE(storage_in.in_date,storage_out.out_date), COALESCE(storage_in.product_name,storage_out.product_name) ORDER BY COALESCE(storage_in.in_date, storage_out.out_date)) AS END_ FROM storage_in FULL OUTER JOIN storage_out ON storage_in.product_name=storage_out.product_name AND storage_in.in_date = storage_out.out_date ORDER BY 1,2;

以下是将 FULL OUTER JOIN 转换为 MySQL 脚本的方法,使用 UNION 和 LEFT JOIN 和 RIGHT JOIN 组合: ``` SELECT COALESCE(storage_in.in_date, storage_out.out_date) AS date, COALESCE(storage_in.product_name, storage_out.product_name) AS product_name, IFNULL(storage_in.quantity, 0) AS IN_, IFNULL(storage_out.quantity, 0) AS OUT_, SUM(IFNULL(storage_in.quantity, 0) - IFNULL(storage_out.quantity, 0)) OVER (PARTITION BY COALESCE(storage_in.in_date, storage_out.out_date), COALESCE(storage_in.product_name, storage_out.product_name) ORDER BY COALESCE(storage_in.in_date, storage_out.out_date)) AS END_ FROM (SELECT in_date, product_name, quantity FROM storage_in UNION SELECT out_date, product_name, 0 FROM storage_out) AS storage LEFT JOIN storage_in ON storage.in_date = storage_in.in_date AND storage.product_name = storage_in.product_name LEFT JOIN storage_out ON storage.out_date = storage_out.out_date AND storage.product_name = storage_out.product_name ORDER BY 1, 2; ``` 这个脚本使用 UNION 将 storage_in 和 storage_out 表中的数据组合起来,LEFT JOIN 和 RIGHT JOIN 分别连接 storage_in 和 storage_out 表,从而实现 FULL OUTER JOIN 的效果。

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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 b.station_name AS stationName, c.standard_name AS standardName, IFNULL( b.address, '' ) AS address, b.longitude AS longitude, b.latitude AS latitude, h.dict_label AS type, e.water_name AS waterName, DATE_FORMAT( a.sample_time, '%Y-%m-%d %H:%i:%S' ) AS sampleTime, IFNULL( g.dict_label, '无' ) AS LEVEL, CONCAT( IFNULL( AVG( CASE i.NAME WHEN 'COD' THEN 0+CONVERT ( a.param_value, CHAR ) END ), "" ), "(", IFNULL( ( SELECT dict_label FROM sys_dict_data WHERE dict_type = "sys_param_status" AND dict_value = AVG( CASE i.NAME WHEN 'COD' THEN CONVERT ( a.param_flag, UNSIGNED ) END ) ), "-" ), ")", "/", IFNULL( AVG( CASE i.NAME WHEN 'COD' THEN 0+CONVERT ( a.tag_status, CHAR ) END ), "" ), "/", IFNULL( AVG( CASE i.NAME WHEN 'COD' THEN 0+CONVERT ( a.mark, CHAR ) END ), "" ) ) AS 'COD' FROM water_data_real AS a LEFT JOIN water_station AS b ON a.station_code = b.station_code LEFT JOIN water_standard AS c ON b.standard_id = c.id LEFT JOIN rl_water_body AS e ON b.water_id = e.id LEFT JOIN ( SELECT dict_label, dict_value FROM sys_dict_data WHERE dict_type = "sys_station_type" ) AS h ON b.type = h.dict_value LEFT JOIN ( SELECT dict_label, dict_value FROM sys_dict_data WHERE dict_type = "water_level" ) AS g ON a.LEVEL = g.dict_value LEFT JOIN water_param_lib AS i ON a.param_code = i.CODE WHERE i.type = '2' AND b.station_code ='0000000002' AND a.sample_time >= '2023-05-23 23:34:44' AND a.sample_time <='2023-05-23 23:36:44' GROUP BY a.qn ORDER BY a.sample_time; Mark值应该是中文,但是通过拼接后的结果是显示0

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)

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

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