left outer join [dbo].[DimProductCategory] as [$Inner] on ([$Outer].[ProductCategoryKey2] = [$Inner].[ProductCategoryKey]) ) as [$Outer] left outer join [dbo].[DimDate] as [$Inner] on ([$Outer].[OrderDateKey] = [$Inner].[DateKey]) ) as [_] where [_].[CalendarYear] =...
LEFT OUTER JOIN – all rows from the first table are returned, along with any matching rows from the second table. There’s also a RIGHT JOIN, which reverses the relationship. FULL OUTER JOIN – this returns all rows from both tables. If there’s no match, the missing side will have N...
SELECT DP1.name AS UserName, DP2.name AS RoleName FROM sys.database_role_members DRM RIGHT OUTER JOIN sys.database_principals DP1 ON DRM.member_principal_id = DP1.principal_id LEFT OUTER JOIN sys.database_principals DP2 ON DRM.role_principal_id = DP2.principal_id WHERE DP1.type = ...
LEFT JOIN to [Warehouse].[Colors] used vs 4 Subquery Switching [Application].[People] p.SearchName to P.FullName and simplifying the Substring function and Case Statement Changed the [Sales].[Invoices] Subquery to INNER JOIN Changing LEFT JOINS to INNER JOINS and removing Select DISTINCT This ...
SQL Server. Refer Section 1 (MTL error) in https://mssqlwiki.com/sqlwiki/sql-performance/troubleshooting-sql-server-memory/Below query can be used to determine actual memory consumption by SQL Server in MTL. select sum(multi_pages_kb) from sys.dm_os_memory_clerks...
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Performance,SQL GeneralSQL Queryquery optimization,query performance tuning,Query tuning,query tuning in sql server,sql performance,sql query optimizer What is RESOURCE_SEMAPHORE_QUERY_COMPILE? Posted byKarthick P.Kon October 12, 2012 What is RESOURCE_SEMAPHORE_QUERY_COMPILE?
[FIXED] findAndCountAll generates invalid SQL, subQuery moves to LEFT OUTER JOIN #5445 [FIXED] count methods pollute the options.includes #4191 [FIXED] Invalid SQL generated when using group option along with attributes #3009 [FIXED] Mark index as unique: true when type: 'UNIQUE'. Fixes #...
ltrim(char_exp) ltrim(char_exp) Truncates trailing spaces from the left end of char_exp. patindex(pattern, column_name) Returns the position of the pattern in the column value. The pattern can have wild characters. This function also works on TEXT and BINARY data types. replicate(char_...
. The key difference between the JOIN and SQL CROSS APPLY operators is when you have a table-valued expression on the right side and want to evaluate it for each row from the left table expression. Since they produce similar results, when do you choose an SQL OUTER APPLY versus a JOIN?