标签：&& Core gr GivePageCount c# EF item Key CustomerId
最近在优化代码时发现linq 采用了||查询导致查询效率非常慢，查询语句出现扫表情况，
采用了Union大大提升了效率，解决了问题
优化c# 前的linq:
dateTime = dateTime.Date;
DateTime BegTime = dateTime;
DateTime EndTime = dateTime.AddDays(1);
var v = from q in _MyDbContext.Document
where q.Customer.AgentId == agentId && (!q.UserRefundId.HasValue || q.UserRefund.RefundStatus != RefundStatusType.SUCCESS)
&& ((q.OutputTime >= BegTime && q.OutputTime <= EndTime && q.DocumentStatus == DocumentStatus.OutputComplete)
|| (q.Order.Status == OrderStatusType.SUCCESS && q.Order.SuccessTime >= BegTime && q.Order.SuccessTime <= EndTime))
select new PrinterStatisticsDto
{
PrinterId = q.PrinterId,
PrinterName = q.PrinterName,
CustomerId = q.CustomerId.Value,
CustomerName = q.Customer.Name,
JobType = q.JobType,
SimpleDuplexType = q.SimpleDuplexType == SimpleDuplexType.Simple ? SimpleDuplexType.Simple : SimpleDuplexType.DuplexLong,
PageSize = q.PageSize,
ColorType = q.ColorType,
PageCount = q.CalculationCount > 0 ? q.CalculationCount : q.PageCount,
Copies = q.Copies,
GivePageCount = q.GivePageCount,
TotalCost = (q.OrderId.HasValue && q.Order.Status == OrderStatusType.SUCCESS) ? q.TotalCost : 0
};
var s = from item in v
group item by new
{
item.PrinterId,
item.PrinterName,
item.CustomerId,
item.CustomerName,
item.JobType,
item.PageSize,
item.ColorType,
item.SimpleDuplexType
} into gr
select new StatisticsDto
{
Balance = gr.Sum(a => a.TotalCost.Value),
ColorType = gr.Key.ColorType,
Count = gr.Sum(a => a.PageCount * a.Copies),
JobType = gr.Key.JobType,
SimpleDuplexType = gr.Key.SimpleDuplexType,
PageSize = gr.Key.PageSize,
PrinterName = gr.Key.PrinterName,
PrinterId = gr.Key.PrinterId,
CustomerId = gr.Key.CustomerId,
CustomerName = gr.Key.CustomerName,
GivePageCount = gr.Sum(a => a.GivePageCount),
};
return s.ToList();
这样的代码生成的sql 语句如下：
SELECT SUM(CASE
WHEN `d`.`OrderId` IS NOT NULL AND (`o`.`Status` = 1) THEN `d`.`TotalCost`
ELSE 0
END) AS `Balance`, `d`.`ColorType`, SUM(CASE
WHEN `d`.`CalculationCount` > 0 THEN `d`.`CalculationCount`
ELSE `d`.`PageCount`
END * `d`.`Copies`) AS `Count`, `d`.`JobType`, CASE
WHEN `d`.`SimpleDuplexType` = 1 THEN 1
ELSE 2
END AS `SimpleDuplexType`, `d`.`PageSize`, `d`.`PrinterName`, `d`.`PrinterId`, `d`.`CustomerId`, COUNT(*) AS `OrderNumber`, SUM(`d`.`GivePageCount`) AS `GivePageCount`, timestamp('2022-08-04 00:00:00') AS `DateTime`
FROM `Document` AS `d`
LEFT JOIN `UserRefund` AS `u` ON `d`.`UserRefundId` = `u`.`Id`
LEFT JOIN `Order` AS `o` ON `d`.`OrderId` = `o`.`Id`
LEFT JOIN `Customer` AS `c` ON `d`.`CustomerId` = `c`.`Id`
WHERE ((`d`.`CustomerId` = 100076) AND (`d`.`UserRefundId` IS NULL OR ((`u`.`RefundStatus` <> 3) OR `u`.`RefundStatus` IS NULL))) AND ((((`d`.`OutputTime` >= timestamp('2022-08-04 00:00:00')) AND (`d`.`OutputTime` <= timestamp('2022-08-05 00:00:00'))) AND (`d`.`DocumentStatus` = 9)) OR (((`o`.`Status` = 1) AND (`o`.`CreateTime` >= timestamp('2022-08-04 00:00:00'))) AND (`o`.`CreateTime` <= timestamp('2022-08-05 00:00:00'))))
GROUP BY `d`.`PrinterId`, `d`.`PrinterName`, `d`.`CustomerId`, `c`.`Name`, `d`.`JobType`, `d`.`PageSize`, `d`.`ColorType`, CASE
WHEN `d`.`SimpleDuplexType` = 1 THEN 1
ELSE 2
END
ORDER BY `d`.`PrinterId` DESC, `d`.`JobType`
LIMIT 100 OFFSET 0
通过优化linq后代码如下,这样效率大大提升，没有出现扫表情况：
dateTime = dateTime.Date;
DateTime BegTime = dateTime;
DateTime EndTime = dateTime.AddDays(1);
var v = from q in _MyDbContext.Document
where q.CustomerId == customerId
&& (!q.UserRefundId.HasValue || q.UserRefund.RefundStatus != RefundStatusType.SUCCESS)
&& (q.OutputTime >= BegTime && q.OutputTime <= EndTime && q.DocumentStatus == DocumentStatus.OutputComplete)
select new PrinterStatisticsDto
{
PrinterId = q.PrinterId,
PrinterName = q.PrinterName,
CustomerId = q.CustomerId.Value,
CustomerName = q.Customer.Name,
JobType = q.JobType,
SimpleDuplexType = q.SimpleDuplexType == SimpleDuplexType.Simple ? SimpleDuplexType.Simple : SimpleDuplexType.DuplexLong,
PageSize = q.PageSize,
ColorType = q.ColorType,
PageCount = q.CalculationCount > 0 ? q.CalculationCount : q.PageCount,
Copies = q.Copies,
GivePageCount = q.GivePageCount,
TotalCost = (q.OrderId.HasValue && q.Order.Status == OrderStatusType.SUCCESS) ? q.TotalCost : 0
};
var v1 = from q in _MyDbContext.Document
where q.CustomerId == customerId
&& (!q.UserRefundId.HasValue || q.UserRefund.RefundStatus != RefundStatusType.SUCCESS)
&& q.Order.Status == OrderStatusType.SUCCESS && q.Order.SuccessTime >= BegTime && q.Order.SuccessTime <= EndTime
select new PrinterStatisticsDto
{
PrinterId = q.PrinterId,
PrinterName = q.PrinterName,
CustomerId = q.CustomerId.Value,
CustomerName = q.Customer.Name,
JobType = q.JobType,
SimpleDuplexType = q.SimpleDuplexType == SimpleDuplexType.Simple ? SimpleDuplexType.Simple : SimpleDuplexType.DuplexLong,
PageSize = q.PageSize,
ColorType = q.ColorType,
PageCount = q.CalculationCount > 0 ? q.CalculationCount : q.PageCount,
Copies = q.Copies,
GivePageCount = q.GivePageCount,
TotalCost = (q.OrderId.HasValue && q.Order.Status == OrderStatusType.SUCCESS) ? q.TotalCost : 0
};
v = v.Union(v1);
var s = from item in v
group item by new
{
item.PrinterId,
item.PrinterName,
item.CustomerId,
item.CustomerName,
item.JobType,
item.PageSize,
item.ColorType,
item.SimpleDuplexType
} into gr
select new PrinterStatistics
{
Balance = gr.Sum(a => a.TotalCost.Value),
ColorType = gr.Key.ColorType,
Count = gr.Sum(a => a.PageCount * a.Copies),
JobType = gr.Key.JobType,
SimpleDuplexType = gr.Key.SimpleDuplexType,
PageSize = gr.Key.PageSize,
PrinterName = gr.Key.PrinterName,
PrinterId = gr.Key.PrinterId,
CustomerId = gr.Key.CustomerId,
GivePageCount = gr.Sum(a => a.GivePageCount),
OrderNumber = gr.Count(),
DateTime = dateTime,
};
return s.ToList();
标签：&&,Core,gr,GivePageCount,c#,EF,item,Key,CustomerId 来源： https://www.cnblogs.com/printertool/p/16555149.html
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