queryWrapper.having("MONTH(create_time) = {0}", xxx);

您好！对于您的查询语句中的 `{0}` 部分，我可以通过以下代码来动态替换它：

String xxx = "your_value"; // 请将 "your_value" 替换为您想要的月份值

queryWrapper.having("MONTH(create_time) = {0}", xxx);

这样，`{0}` 将会被替换为您提供的具体值。请确保您将 "your_value" 替换为正确的月份值。

如果您有更多问题，请随时提问！

相关问题

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' and ( (b.Duration >=900) or (b.CallerNum in (SELECT b.CallerNum FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY b.CallerNum HAVING COUNT(b.CallerNum) >= 5)) or ((SELECT COUNT(*) FROM basebill b1 left join billdetails b2 on b1.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b1.billType = 1 and b1.IS_DELETE_ = 0 and b1.CRT_TIME_ >= '2023-06-06 13:00:00' and b1.CRT_TIME_ <= '2023-06-06 15:00:00' and b1.CallerNum = b.CallerNum ) >= 10) ) group by b.CallerNum优化这条sql的查询速度，具体做法

具体做法如下：

1. 对where条件中的字段建立索引：针对b2.area_code_、b.billType、b.IS_DELETE_、b.CRT_TIME_、b.Duration、b.CallerNum等字段建立相应的索引，可以提高查询效率。

2. 避免使用子查询：将子查询改写成join操作，可以提高查询速度。例如：

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal 
FROM basebill b 
LEFT JOIN billdetails b2 ON b.base_bill_id = b2.base_bill_id 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 5) AS t1 ON b.CallerNum = t1.CallerNum 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 10) AS t2 ON b.CallerNum = t2.CallerNum 
WHERE b2.area_code_ != 86 AND b.billType = 1 AND b.IS_DELETE_ = 0 AND b.CRT_TIME_ >= '2023-06-06 13:00:00' AND b.CRT_TIME_ <= '2023-06-06 15:00:00' AND (b.Duration >= 900 OR t1.CallerNum IS NOT NULL OR t2.CallerNum IS NOT NULL) 
GROUP BY b.CallerNum

3. 避免重复查询：在where条件和select语句中都有重复查询的情况，可以将重复查询的部分提取出来，减少查询次数。例如：

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal 
FROM basebill b 
LEFT JOIN billdetails b2 ON b.base_bill_id = b2.base_bill_id 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 5) AS t1 ON b.CallerNum = t1.CallerNum 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 10) AS t2 ON b.CallerNum = t2.CallerNum 
WHERE b2.area_code_ != 86 AND b.billType = 1 AND b.IS_DELETE_ = 0 AND b.CRT_TIME_ BETWEEN '2023-06-06 13:00:00' AND '2023-06-06 15:00:00' AND (b.Duration >= 900 OR t1.CallerNum IS NOT NULL OR t2.CallerNum IS NOT NULL) 
GROUP BY b.CallerNum, b.Duration, abnormalTime

4. 分批查询：将查询时间段分成多个小段，避免一次查询过多数据，导致查询速度变慢。

5. 对于大表使用分区表：如果表中数据量较大，可以将表进行分区，以提高查询效率。

6. 定期清理无用数据：定期清理已经无用的数据，可以减少查询时的数据量，提高查询速度。

综上所述，以上优化方案可以针对不同的情况进行选择，以提高SQL语句的查询速度。

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

这段SQL语句比较复杂，可以考虑以下几个方面进行优化：

1. 索引优化：根据EXPLAIN命令的查询计划，确定哪些表需要添加索引，可以在表的关键字段上添加索引，提高查询效率。

2. 减少子查询：可以将子查询中的重复代码提取出来，避免多次重复查询。另外，可以考虑使用临时表或者表变量等方式，将子查询的结果存储在临时表中，然后再进行关联查询，避免多次重复查询。

3. 减少ifnull函数的使用：可以使用LEFT JOIN或者COALESCE函数代替ifnull函数，避免多次重复计算。

4. 确认需要查询的字段：可以根据实际需要，确认需要查询的字段，并且避免查询不必要的字段，提高查询效率。

总之，优化复杂SQL语句需要综合考虑多个方面，并且需要根据具体情况进行调整，从而提高查询效率。