SELECT sum( ( ifnull(alreadySendCount, 0) - ifnull(paidCount, 0) ) * cast( pp.contractPrice AS DECIMAL (10, 2) ) ) FROM t_m_student a LEFT JOIN ( SELECT ps.paperId, count(1) alreadySendCount FROM t_m_student a JOIN t_m_papersend ps ON a.id = ps.paperId WHERE ps.isHidden = 0 AND ps.sendIsHidden = 0 AND ps.isReSend = 0 AND a.create_time >= '2023-01-01 00:00:00' AND a.isHidden IN (0) AND a.sendIsHidden = 0 AND a.user_group IN (105306) AND a.doctypeId IN ('CLLX_LWBS', 'CLLX_LWSS')

这个 SQL 语句似乎不完整，缺少结束括号。需要检查你的 SQL 语句并补充缺失的内容。

此外，根据你的 SQL 语句中的 LEFT JOIN 子句，你需要在子查询中指定一个表别名。例如，你可以这样写：

SELECT SUM((IFNULL(alreadySendCount, 0) - IFNULL(paidCount, 0)) * CAST(pp.contractPrice AS DECIMAL (10, 2))) 
FROM t_m_student a 
LEFT JOIN (
  SELECT ps.paperId, COUNT(1) alreadySendCount 
  FROM t_m_student s 
  JOIN t_m_papersend ps ON s.id = ps.paperId 
  WHERE ps.isHidden = 0 AND ps.sendIsHidden = 0 AND ps.isReSend = 0 
  AND s.create_time >= '2023-01-01 00:00:00' AND s.isHidden IN (0) 
  AND s.sendIsHidden = 0 AND s.user_group IN (105306) 
  AND s.doctypeId IN ('CLLX_LWBS', 'CLLX_LWSS')
) ps 
ON a.id = ps.paperId

希望这样能够帮助你解决问题。

相关问题

SELECT d.areaCode, d.areaName, d.bciStreetName, d.wasteTypeCode, d.wasteTypeName, d.wasteTrashCode, d.wasteTrashName, d.wasteName, sum( p.produceNumTotal ) AS produceNumTotal, sum( IFNULL(t.disposalNumTotal, 0 ),decimal(10,2) ) AS disposalNumTotal, sum( p.cityTransferNum ) AS cityTransferNum, sum( p.transferCityOutNum ) AS transferCityOutNum, sum( p.transferProvinceOutNum ) AS transferProvinceOutNum, sum( IFNULL( p.transferCityOutNum, 0 ) + IFNULL( p.transferProvinceOutNum, 0 ) ) AS transferCityAndProInNum, sum( t.transferCityInNum ) AS transferCityInNum, sum( t.transferProvinceInNum ) AS transferProvinceInNum, sum( IFNULL( t.transferCityInNum, 0 ) + IFNULL( t.transferProvinceInNum, 0 ) ) AS transferCityAndProInNum, sum( d.disposalAmount ) AS disposalAmount, sum( d.zhlyAmount ) AS zhlyAmount, sum( d.czAmount ) AS czAmount, sum( d.zcAmount ) AS zcAmount, sum( d.tmAmount ) AS tmAmount, sum( d.fsAmount ) AS fsAmount, sum( d.qtAmount ) AS qtAmount, CONVERT ( sum( zhlyAmount ) / sum( d.disposalAmount ) * 100, DECIMAL ( 10, 2 ) ) AS zhlyProportion, CONVERT ( sum( tmAmount ) / sum( d.disposalAmount ) * 100, DECIMAL ( 10, 2 ) ) AS tmProportion, CONVERT ( sum( fsAmount ) / sum( d.disposalAmount ) * 100, DECIMAL ( 10, 2 ) ) AS fsProportion, CONVERT ( sum( qtAmount ) / sum( d.disposalAmount ) * 100, DECIMAL ( 10, 2 ) ) AS qtProportion FROM wfcs_disposal_account_day_report d LEFT OUTER JOIN wfcs_transfer_sheet_disposal_day_summary t ON d.cityCode = t.disposalCityCode AND t.tenantId = d.tenantId LEFT OUTER JOIN wfcs_transfer_sheet_produce_day_summary p ON d.cityCode = p.produceCityCode AND d.tenantId = p.tenantId WHERE d.solidWasteType ='ybgygf' AND d.tenantId = '779ca469251e4a639fd39a7ab57e6859' AND d.recordDate >= '2023-06-01 00:00:00.0' AND d.recordDate <= '2023-06-04 00:00:00.0' AND d.cityCode = 'dacef933e39740349e6fb89fac792aae' GROUP BY areaCode ORDER BY produceNumTotal DESC 怎么优化这个sql

这个SQL语句可以进行以下优化：

1. 在wfcs_disposal_account_day_report表中添加索引，包括solidWasteType、tenantId、recordDate和cityCode列，以加快查询速度。

2. 可以考虑使用INNER JOIN代替LEFT OUTER JOIN，因为INNER JOIN在连接两个表的时候比LEFT OUTER JOIN更快。

3. 避免在SELECT语句中使用函数，因为函数会使查询变慢。可以将计算逻辑移至应用程序代码中进行计算。

4. 考虑对查询结果进行缓存，以避免重复查询相同的数据。

5. 可以尝试将GROUP BY子句中的areaCode列替换为更简单的列，以避免在GROUP BY子句中使用太多列。

6. 如果数据量非常大，可以考虑分区表以提高查询性能。

总之，优化SQL查询的方法有很多，需要根据具体情况进行分析和优化。

select 0+cast(IFNULL(sum(x.total_amount-IFNULL(x.balance_consumption,0)+IFNULL((select SUM(pay.pay_amount) from po_order_pay pay where pay.po_order_id=x.id and pay.pay_status=3 and pay.receipt_type=3 GROUP BY pay.po_order_id),0)),0)AS CHAR) from po_order x where x.is_valid = 1 and x.status=2 and x.pay_status= 3

这是一条 SQL 查询语句，作用是查询指定条件下的订单总金额。具体来说，该查询会返回满足以下条件的订单总金额：

- is_valid = 1：订单状态为有效；
- status = 2：订单状态为已确认；
- pay_status = 3：订单支付状态为已支付；
- total_amount-IFNULL(x.balance_consumption,0)+IFNULL((select SUM(pay.pay_amount) from po_order_pay pay where pay.po_order_id=x.id and pay.pay_status=3 and pay.receipt_type=3 GROUP BY pay.po_order_id),0)：订单总金额减去余额支付金额，再加上已经支付的非余额支付金额。

如果查询结果为空，则返回 0。

该查询语句使用了 IFNULL、SUM、CAST、AS 等 SQL 函数和关键字，用于对数据进行处理和格式化。其中，IFNULL 函数用于判断数据是否为空，并返回指定的默认值；SUM 函数用于计算指定列的总和；CAST 函数用于将数据转换为指定的数据类型；AS 关键字用于设置查询结果的别名。