Original: SQL Server 2012:SQL Server architecture--The life cycle of a query (part 3rd) (end)A simple update queryYou should now know the query life cycle of reading only the data, and next determine what happens when you need to
assumption Dcsii
(2) Point browse Access Select Indexing Service run Directory form
(3) Select the index run directory that you created earlier (anywhere)
(4) Click OK to complete this operation
You need to add a catalog to a catalog after you create a record
(1) Right-click to select the catalog you just created
(2) Select New->directory (new directory)
New Index Directory
(1) Click Browse to enter the directory selection page
(2) Select the directory where you want to search for full-text fil
Original: Set STATISTICS io and set STATISTICS time in SQL Server query performance optimizationIn recent times, has been exploring the SQL Server query performance issues, of course, also aimless search for a lot of information,
SELECT type,--clerk type sum (virtual_memory_reserved_kb) as vm_reserved_kb,--reserved Memory sum (VIRTUAL_MEMORY_COMMITTED_KB) as VM_COMMITTED_KB,--committed memory sum (awe_allocated_kb) as awe_allocated_kb,--the memory sum (shared_memory_reserved_kb) as SM used when opening awe _RESERVED_KB,--shared reserved memory sum (shared_memory_committed_kb) as sm_committed_kb,--shared commit memory sum (single_pages_kb) as SINLGEPAGE_KB,--Buffer pool stolen Memory sum (multi_pages_kb) as multipage_kb--
In the process of paging data using temporary tables, it is found that the query statement conditions are passed through the stored procedure parameters. The parameter conditions cannot be directly used after the SQL where statements are added. There is only one solution to this problem, it is to concatenate SQL statements and conditions into an
Author: skateTime: 2012/02/17
MySQL SQL Performance Analyzer
The SQL Performance Analyzer of MySQL is mainly used to display the usage of various resources during SQL Execution. Analyzer can better displayPoor
row within the result set partition. The rank of a row is a number of rows before the line involved.
--like here I sort by price, take out the most expensive items in each category from top to bottom
SELECT * from
(
SELECTI.price,i.commodityname,c.classname,rank () Over(Partition byC.classidOrder byI.priceDESC) Rank2 fromCommodityinfo iINNER JOINCommodityclass C onI.commodityclass=C.classid) RWHERERank22; Under SQL
"'+ @ Columns + 'Union all' + @ Data +'" queryout '+ @ FilePath +'-c-t'
PRINT @ cmd
Exec sys. xp_cmdshell @ cmd
EXEC sp_configure 'xp _ Your shell', 0
RECONFIGURE
EXEC ('drop table' + @ tmp)
END TRY
BEGIN CATCH
-- Handle exceptions
IF OBJECT_ID ('tempdb .. '+ @ tmp) IS NOT NULL
EXEC ('drop table' + @ tmp)
EXEC sp_configure 'xp _ Your shell', 0
RECONFIGURE
SELECT ERROR_MESSAGE ()
END CATCH
Do not worry about using it. This version is based on xp_cmdshell. To create a file, ensure that your users
SELECT ERROR_MESSAGE ()
END CATCH
Do not worry about using it. This version is based on xp_cmdshell. To create a file, ensure that your users have the permission to manage the file, generally, the simple method is to set the SQL server startup user as a local system user.
Now let's take a look:
-- Query the server o
Label: SQL Server Query optimization method The reasons for the slow query are many, the following are common 1, no index or no index (this is the most common problem of slow query, is the defect of program design)2, I/O throughput is small, forming a bottleneck effect3. No
First SQL statementSelect CompanyName GSMC,ZB Zhibiao from Left Join T_companycode on T_GSNDZB.GSBH=T_companycode.companyidQuery Result:A second SQL statementSELECT min(CompanyName) GSMC,cast(round(sum(T_xstj.hsje)/10000,2) asNumeric -,2)) Ndje fromT_xstj Left JoinT_companycode onT_companycode.companyid=T_XSTJ.GSBHwhere DateDiff( YearSjgetdate())=0 Group byGsbhQuery Result:Statements that are merged int
IntroductionIn SQL Server, an index is an enhanced presence, which means that even without an index, SQL Server can still implement its due functionality. However, indexes can greatly improve query performance in most cases, especially in OLAP. To fully understand the concep
Usage scenarios:For example, you need to query all student numbers with scores greater than 95, separated by commas into a string, from the Student score table.To prepare the test data:CREATE TABLE score (ID int,score int)INSERT into score values (1,90)INSERT into score values (2,96)INSERT into score values (3,99)It is now necessary to query the result string "2,,3" with a single statement.The
Indexing Service and SQL database:Execute the following stored procedure in SQL Query Analyzer (SQL Analyer)EXEC sp_addlinkedserver Dcs,--Connect the name of the server to the back of the que
In this series of articles, we'll delve into how to combine the. NET 2.0 and SQL Server 2005 query notification features to inform the application when critical data changes in order to eliminate the recurring query database.
First, the introduction
One of the typical problems with database applications is updating sta
Author: skateTime: 2012/02/17Mysql SQL Performance AnalyzerThe SQL Performance Analyzer of MySQL is mainly used to display the usage of various resources during SQL Execution. Analyzer can better displayPoor SQL Performance proble
successfully.
To associate Indexing Service and SQL database:
Execute the following stored procedure in SQL Query Analyzer (SQL Analyer)
EXEC sp_addlinkedserver Dcs,--Connect the name of the server to the back of the
. For example, when multiple indexes are used, the SELECT query may run faster. However, the speed of DML (insert, update, and delete) operations will be significantly slowed down because more indexes must be maintained for each operation. Therefore, if your query mainly contains select statements, it is very helpful to use more indexes. If your applicationProgramTo perform many DML operations, it is necess
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