after you've processed historical data and report data, then add these new hardware, such as faster CPUs and hard drives, larger memory, and so on, but add new hardware postscript to modify your SQL Server configuration to accommodate these new hardware, such as opening/ 3G switch to use more memory.
Scale out when scaling the up does isn't suffice or is cost-prohibitive.
Use horizontal expansion When yo
and the documentation that improves the performance of various programs is meaningful to the SQL Server communityDiskMonitoring and optimizing the disk subsystem of SQL Server is an important aspect for SQL
,t.text from sys.dm_exec_query_stats as s
-information about statements cross
apply Sys.dm_ Exec_sql_text (S.sql_handle) as T
ORDER by avgtotal Desc
--Evaluation of database IO
select * from Sys.dm_io_pending_io_requests --Request view of suspend IO
select * from Sys.dm_io_ Virtual_file_stats ((Select db_id (' AdventureWorks2014 '), null) --function returns I/O statistics for data and log files-
-The description file is suspended
Select S.file_id,r.io_pending from sys.dm_io_pend
Life expectancy: PLE, the time that the data page resides in memory. If SQL Server does not have new memory requirements, or has free memory to complete the new memory requirements, then lazy writer will not be penalized and the page will remain in buffer pool, then page life expectancy will be maintained at a relatively high level If page life is always high and low, it indicates that
We can use set statistics Io and set statistics time to analyze the performance of T-SQL statements.
The method is as follows:
In the SQL Server Query analyzer, run:
Set statistics profile onset statistics Io onset statistics time ongo -- // The SQL statement to
disperse the concurrency pressure of the large scale data, also can speed up the speed of special query, the redundant field can reduce the connection of database table effectively and improve the efficiency.3.Design of the primary keyThe primary key is necessary, and the primary key for SQL Server is a unique index, and in practice, we tend to choose the smallest key group to work as the primary key, so t
related issues (problems with column correlations)
16th Week cardinality estimates in SQL Server 2014 (cardinality estimation in SQL Server 2014)
5th Month: Lock, block, deadlock
As a developer or database
The word booksearch may be unfamiliar to many developers. Many people have encountered this word, but they have not paid enough attention to it, so they have always ignored its existence.
The word booksearch may be unfamiliar to many developers. Many people have encountered this word, but they have not paid enough attention to it, so they have always ignored its existence.
The growth of SQL Server Cognit
The growth of SQL Server Cognition 1. I don't have to graduate or work for a long time. I only know the relationship between SQL and SQL Server Oracle and MySql. I usually think that SQL is SQ
The growth of SQL Server Cognition
1. I don't have to graduate or work for a long time. I only know the relationship between SQL and SQL Server Oracle and MySql. I usually think that SQL is S
Requirements DescriptionIn a production environment, it is often necessary to collect data to locate a problem or to form a baseline.There are many ways to solve the data acquisition in SQL Server, such as trace, Profile, SQLdiag, extended events and so on.Several scenarios have pros and cons, with the beginning of the SQL Server2012 version, Microsoft's start to
Label:Currently in a project optimization, want to analyze SQL Server system performance through the database layer, check the online code, modify the title and DMVs code, the following code can be used to analyze the system after a period of time, those statements are system busy SQL statement. As a reference. Alterna
1. Select the most efficient table name order (valid only in the Rule-based optimizer)
The SQL Server parser processes the table names in the FROM clause in Right-to-left order, therefore, the last table in the FROM clause (driving table) is processed first, and in the case where multiple tables are included in the FROM clause, the table with the fewest number of records must be selected as the underlying
The performance of SQL Server databases has not been written for a long time. Before the system is officially launched, DBAs generally need to test the server performance. For example, you have many servers and some are web servers, some are cache servers, some are file serv
SQL Server CPU performance check and optimization related SQL statements, very good SQL statements, recorded here:
-- Begin SQL related to CPU Analysis and Optimization -- use DMV to analyze statements that have used the most CPU
, or has free memory to complete the new memory requirements, then lazy writer will not be penalized and the page will remain in buffer pool, then page life expectancy will be maintained at a relatively high level If page life is always high and low, it indicates that SQL Server has memory pressure. The reference value for ple is: Max Server memory/4gb*300s, if t
During project optimization, I want to analyze SQL server system performance through the database layer. I checked the online code and modified the title and dmvs code, the following code analyzes the SQL statements that are busy after the system runs for a period of time. For reference.
Alternative use:
When analyzin
At present, I want to analyze the SQL server system performance through the database layer during project optimization.Code, Changed the title and dmvs code. The following code can be used to analyze the SQL statements that are busy in the system after the system runs for a period of time. For reference.
Alternative
Many of my friends may be making mistakes in performance optimization as described below. If you have any need, please refer to the mistakes in SQL Server query performance optimization to get out of the index.
Many of my friends may be making mistakes in performance optimiz
reduce the 0.5 seconds repeat time and and/or you can see if you can reduce the intermediate result SE TS (which is usually what get cached and speed up the the queries the second. Nth runs). If the query is producing a large intermediate result set (perhaps a large join where most records be then discarded), yo U May is able to speed it up by changing parts of your query. Also, sometimes just adding the right index can solve issues like this. Look at the execution plan and see if there is any
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