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statement and clickFirst, the Database design optimization1. Do not use cursors.Using cursors not only takes up memory, but also locks tables in incredible ways, so that all the performance optimizations that DBAs can do are equal to not being done. Each fetch in the cursor is equal to the execution of a select.2. Create an appropriate indexWhenever you add an index to a table, select is faster, and insert
processing capability.
It can be seen that the hardware performance of the computer system is from high to generation:
CPU -- cache (L1-L2-L3) -- memory -- SSD hard disk -- Network -- Hard Disk
Based on the database knowledge, we can list the main work of each hardware type:
CPUAnd memory: Cache data access, comparison, sorting, transaction detection, SQL parsi
Original address: http://www.cnblogs.com/qiusnay/archive/2010/03/15/1686500.html
3. Performance and efficiency
5.3. Fixed length and variable length table
A data table containing any varchar, text, and other variable-length fields, which is a variable-length table, whereas a fixed-length table.
L for variable-length tables, many deletions and changes on them will cause more fragmentation in the table because of the different size of the record. You
This article is based on MySQL. Many content applies to other relational databases at the same time and requires some indexing knowledge. It focuses on how to optimize SQL to improve database performance.
This article is based on MySQL. Many content applies to other relational databases at the same time and requires some indexing knowledge. It focuses on how to optimize SQL to improve
Tags: distinct unique HTML distance responsibility delay WWW Statistics subquery Preface Note: This article is based on the background of MySQL, many of which are applicable to other relational databases and need some index knowledge. Optimize your Goals1. Reduce the number of IO Io is always the most vulnerable to the database, which is determined by the responsibility of the database, most of the
denominator of these routines is to implement the actions from a global perspective." "Xiang Wang said.
At this stage, user feedback and operational monitoring are the main sources of DBA Discovery database performance problems. When a failure is discovered, the DBA needs to use manual instructions or professional monitoring and analysis software to troubleshoot the system's fault points and determine rea
Instance analysis ORACLE database performance optimization, instance analysis oracle
ORACLE Database optimization methods differ greatly from those of MYSQL. Today, an ORACLE database instance is used to analyze how to optimize ORACLE databases from tables and data.
Tsfree. SQL View
This SQL statement quickly compares
During the rapid expansion of Mailbox, one of the performance problems is the MongoDB database-level write lock. the time consumed during the lock wait process directly reflects the latency during the user's service usage. To solve this long-standing problem, we decided to migrate a common MongoDB collection to an independent cluster. We can infer that this will reduce the lock wait time by 50%. At the same
Traditional SQL pagingIn traditional SQL paging, almost no row_number exists in all solutions. For scenarios that require various sorting and complex queries, row_number is a killer. In addition, the time stamp is usually used for paging loading by poll/push on the current web. These two types of pages can be said to be generic, and even the pages generated by Linq are row_number. The latter is the best both in terms of performance and complexity, bec
In the last article to introduce the MySQL database performance optimization One, today continue to go on the article to introduce the database performance optimization related knowledge. The details are as follows:
Establish an appropriate index
Speaking of improving database
. the Y axis indicates the time consumed by each insert, in seconds.Blue Line: insert; the reason why the system is relatively stable is that no other program is running on the computer. Therefore, the computer's working status has a certain impact on Postgre efficiency.Pink: copy;Yellow Line: copy + unloggedAlthough the index has been created and the data in the table has been accumulated, there is no impact on the performance of subsequent data inse
Today we will mainly introduce how to optimize the database to greatly improve the performance of Oracle. Below we will introduce several simple steps to greatly improve the performance of Oracle, the image of Walmart is like the three axes of database optimization. The discussion of
You've completed your brand new app, and everything works just like a charm. Users to use your network. Everyone is happy.
Then, suddenly, a big outbreak of users kills your MySQL server and your site is closed. What's the problem? How can you stop it?
Here are some tips for MySQL performance optimization that will help you to help your database.
Big Picture
In the early stages of development, you should
, consider whether the indexes on some columns that are not frequently used are necessary.
16. update the clustered index data column should be avoided as much as possible, because the order of the clustered index data column is the physical storage order of the table records. Once the column value changes, the order of the entire table record will be adjusted, it will consume a considerable amount of resources. If the application system needs to frequently update the clustered index data colum
Tags: HIKARICP database connection Pool Performance Revolution JavaHIKARICP is a database connection pool of a rising star, known as the best performance, can be perfect to PK off the other connection pool. Original address: http://blog.csdn.net/clementad/article/details/46928621 Official website:Https://github.com/br
In the installation package jointly released with litwarehr2.0, a multi-tenant database performance testing tool is released to help customers test the database performance expansion under multi-tenant conditions.We have selected five available data extension methods for comparison
Original: Improve MSSQL database performance (1) vs. COUNT (*) and override Count (*)Article Preparation database: Atricles table Data volume 60.69 million dataArticleID primary Key Auto-increment + auto-established clustered index, Atitle nvarchar (+) acontent varchar createdate DateTime (8)The first thing to say is: SELECT COUNT (*) from table, then count (*) a
second on the cloud. there was no reason to reject this speed, and the code was changed. Of course, the speed may be based on personal machines and network environment factors. The following is a comparison of the performance of online cool people.
Note:The SQL statement has a length limit. when data is merged in the same SQL statement, the length limit cannot be exceeded. the max_allowed_packet co
This article mainly introduces Mysql database performance optimization 2. if you need it, you can refer to the previous article to introduce mysql database performance optimization 1, today, I will continue my previous article to introduce you to database
, consider whether the indexes on some columns that are not frequently used are necessary.
16. update the clustered index data column should be avoided as much as possible, because the order of the clustered index data column is the physical storage order of the table records. Once the column value changes, the order of the entire table record will be adjusted, it will consume a considerable amount of resources. If the application system needs to frequently update the clustered index data colum
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