SQL 加入查询需要很长时间才能完成
SQL Join Query taking long to complete
我正在做一个需要我连接四个表的项目。我已经编写了这段代码,但需要很长时间才能完成。请帮忙。哦,我在 Db
中有大约 121 000 个条目
PortfolioCollectionDataContext context = null;
context = DataContext;
var Logins = from bkg in context.EnquiryBookings
where bkg.Paid == true
from log in context.Logins
where log.LoginID == bkg.LoginID
from enq in context.Enquiries
where enq.EnquiryID == bkg.EnquiryID
from estb in context.Establishments
where enq.EstablishmentID == estb.EstablishmentID
select new
{
log.LoginID,
log.FirstName,
log.LastName,
log.CountryOfResidence,
log.EmailAddress,
log.TelephoneNumber,
bkg.TotalPrice,
estb.CompanyName
};
string str = "";
foreach (var user in Logins)
{
str += ("[Name: " + user.LastName + " " + user.FirstName + " - Country: " + user.CountryOfResidence + " - Phone: " + user.TelephoneNumber + " - Email: " + user.EmailAddress + " - Booked From: " + user.CompanyName + " - Spent: " + user.TotalPrice.ToString() + "]");
}
return str;
在 LINQ 上使用以下查询
PortfolioCollectionDataContext context = null;
context = DataContext;
var Logins = from bkg in context.EnquiryBookings
join log in context.Logins
on log.LoginID equals bkg.LoginID
&& bkg.Paid == true
join enq in context.Enquiries
on enq.EnquiryID equals bkg.EnquiryID
join estb in context.Establishments
on enq.EstablishmentID == estb.EstablishmentID
select new
{
str = "[Name: " + log.LastName + " " + log.FirstName + " - Country: " + log.CountryOfResidence + " - Phone: "
+ log.TelephoneNumber + " - Email: " + log.EmailAddress + " - Booked From: "
+ estb.CompanyName + " - Spent: " + bkg.TotalPrice.ToString() + "]"
};
string output = string.Join(", ", Logins.ToList());
return output;
通过将光标放在登录名上检查您的查询并将该查询粘贴到此处。然后检查您的查询的估计执行计划并粘贴到此处。
如果使用 SQL 服务器,要使用 Sql 服务器管理工作室获取查询的执行计划,请单击下图中突出显示的图标。
我正在做一个需要我连接四个表的项目。我已经编写了这段代码,但需要很长时间才能完成。请帮忙。哦,我在 Db
中有大约 121 000 个条目PortfolioCollectionDataContext context = null;
context = DataContext;
var Logins = from bkg in context.EnquiryBookings
where bkg.Paid == true
from log in context.Logins
where log.LoginID == bkg.LoginID
from enq in context.Enquiries
where enq.EnquiryID == bkg.EnquiryID
from estb in context.Establishments
where enq.EstablishmentID == estb.EstablishmentID
select new
{
log.LoginID,
log.FirstName,
log.LastName,
log.CountryOfResidence,
log.EmailAddress,
log.TelephoneNumber,
bkg.TotalPrice,
estb.CompanyName
};
string str = "";
foreach (var user in Logins)
{
str += ("[Name: " + user.LastName + " " + user.FirstName + " - Country: " + user.CountryOfResidence + " - Phone: " + user.TelephoneNumber + " - Email: " + user.EmailAddress + " - Booked From: " + user.CompanyName + " - Spent: " + user.TotalPrice.ToString() + "]");
}
return str;
在 LINQ 上使用以下查询
PortfolioCollectionDataContext context = null;
context = DataContext;
var Logins = from bkg in context.EnquiryBookings
join log in context.Logins
on log.LoginID equals bkg.LoginID
&& bkg.Paid == true
join enq in context.Enquiries
on enq.EnquiryID equals bkg.EnquiryID
join estb in context.Establishments
on enq.EstablishmentID == estb.EstablishmentID
select new
{
str = "[Name: " + log.LastName + " " + log.FirstName + " - Country: " + log.CountryOfResidence + " - Phone: "
+ log.TelephoneNumber + " - Email: " + log.EmailAddress + " - Booked From: "
+ estb.CompanyName + " - Spent: " + bkg.TotalPrice.ToString() + "]"
};
string output = string.Join(", ", Logins.ToList());
return output;
通过将光标放在登录名上检查您的查询并将该查询粘贴到此处。然后检查您的查询的估计执行计划并粘贴到此处。
如果使用 SQL 服务器,要使用 Sql 服务器管理工作室获取查询的执行计划,请单击下图中突出显示的图标。