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very deep, that is, more and more practical problems, have to have theoretical knowledge to support,But it is often theoretically said that the situation does not appear frequently or even if there is no attention, there is time to neglect some theoretical knowledge.For the problems encountered, if you really want to find out, still have some theoretical knowledge to do the groundwork. Many times, often after encountering problems, recalled once good seems to have seen this aspect of theoretica
I. Preface
After the new installation of SQL Server 2005/2008, We need to configure SQL Server Based on the server's hardware and software facilities to achieve better performance. However, the default configuration is used in most cases.
Ii. Configuration
1.
The impact of Tempdb on SQL Server performance optimization and tempdb Performance Optimization
First, consolidate the basic knowledge of tempdb.
Introduction:
Tempdb is an important part of SQLServer, which is used to store temporary objects. Tempdb is an SQL
Some factors that affect the performance of SQL Server databases and the principle of optimizing the performance of SQL Server, and some guiding principles are proposed to optimize the perform
SQL Server focuses on optimization of Stored Procedure performance, data compression, and page compression to improve IO performance (I ).
Preface
The SQL Server basic series is not over yet, And the last point is not written, and
Windows Server 2008 R2 en enterprise 64bitSQL Server 2008 R2 en enterprise 64bit
Symptom: the performance counters related to SQL Server are not displayed in Performance Monitor.
Solution:
Rebuilding the counters:CD c: \ window
.
SQL Server Execution Time:
CPU time = 17188 milliseconds, time consuming = 17261 milliseconds.
(1 rows affected)
SQL Server Execution Time:
CPU time = 0 milliseconds, time consuming = 0 milliseconds.
*/
Comparing 2000 and 2008 can be found 2008 CPU time is significantly higher than 2000, 2008 work
each returned row. At this rate, scanning the entire table becomes more efficient. This is another reason to limit the size of the result set, or to find large results with a clustered index.
Do not equate using indexes with good performance, and vice versa. If using an index always produces the best performance, the optimizer's work is simply too simple, as long as any available index is used. The realit
very deep, that is, more and more practical problems, have to have theoretical knowledge to support,But it is often theoretically said that the situation does not appear frequently or even if there is no attention, there is time to neglect some theoretical knowledge.For the problems encountered, if you really want to find out, still have some theoretical knowledge to do the groundwork. Many times, often after encountering problems, recalled once good seems to have seen this aspect of theoretica
Tags: Data Warehouse res warehouse IMA Misc SYS cell nbsp HighlightTo configure the Data collector: 1. Create a login and map roles 2. Configuring the Management Data Warehouse 3. Create collection sets, collection items----msdb data store sp_syscollector_create ... 4. Automatically configure the related job Specific steps: After creating the diagram: To configure Data collection: The refresh looks like this: The method created: Use msdb
go
declare @collectionsetid int --return val
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
is not all on the second server:This shows: Distributed view can effectively solve the system performance problems, the large table different record range---on different servers, and then through the view of the table operation, effective balance server load trafficSplit up access to the boosted data:Placement of data:1. Principles of Data placement:1. Create filegroups on different powerless disks or raid
Designing an application system does not seem difficult, but it is not easy to optimize the system performance. In the development of tools, database design, should
There are multiple options for application structure, query design, and interface selection, depending on the specific application requirements and the skills of the development team. This document uses SQL
stress treatment measures, often results will be unsatisfactory. Think like Query OptimizerIn every field there are rules in their domain, and most simply, if you do not conform to the C # specification for programming, such as using keywords incorrectly, then the compilation will be an error. Of course, there will be some hidden rules in each area, and some people will say is the so-called "unspoken rules", such rules are often not materializing, such as you do not meet the best practice to wr
Designing an application system does not seem difficult, but it is not easy to optimize the system performance. There are multiple options in terms of development tools, database design, application structure, query design, and interface selection, depending on the specific application requirements and the skills of the development team. This article takes SQL Server
Designing an application system does not seem difficult, but it is not easy to optimize the system performance. There are multiple options in terms of development tools, database design, application structure, query design, and interface selection, depending on the specific application requirements and the skills of the development team. This article takes SQL Server
Designing 1 of applications does not seem to be difficult, but it is not easy to achieve the optimal performance of the system. In the development tools, database design, should
The structure of the program, query design, interface selection and so on have a variety of options, depending on the specific application requirements and development team skills. This article takes the SQL
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
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
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
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