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Anonymous users2024-02-06Take MySQL as an example:
The main factors that affect database performance are summarized below
1. SQL query speed.
2. NIC traffic.
3. Server hardware.
4. Disk IO
These factors don't affect database performance all the time, but rather like the barrel effect. If one of these factors severely affects performance, then the performance of the entire database is severely impacted. In addition, these influencing factors are relative.
For example, if the amount of data does not reach the level of millions, then the speed of SQL queries may not be an important factor, in other words, yours.
SQL statements.
Moderate inefficiency may not affect the overall efficiency, on the contrary, in this case, no matter how you optimize the SQL statement, it may not have a very obvious effect.
1. SQL query speed.
Risk: Inefficient SQL statements
2. NIC traffic.
Risk: The NIC I/O is occupied (100 MB 8 = 100 MB).
Scenario: Reduce the number of slave servers. The slave server has to copy the logs from the master server, so the more slave servers, the more network traffic.
The larger. Hierarchical caching. The sudden failure of a large number of caches in front of you can have a serious impact on the database.
Avoid using "select
Make an inquiry. Separate the business network from the server network.
3. Disk IO
Risk: Disk I/O performance drops suddenly.
Scenario: Use a better disk device to solve.
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Anonymous users2024-02-05This includes network, hardware, operating system, database parameters, and applications.
Optimization of a database can often be done through optimization of the network, hardware, operating system, database parameters, and applications. The most common optimization method is to upgrade the hardware.
According to statistics, the performance improvement obtained by optimizing the network, hardware, operating system, and database parameters only accounts for about 40% of the database system performance improvement, and the remaining 60% of the system performance improvement comes from the optimization of the application. Many optimization experts believe that optimization of applications can result in an 80% improvement in system performance.
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Anonymous users2024-02-04Improving database performance can improve query speed, optimize database structure, reduce server pressure, etc., so how to optimize the database? Take a look at the following article for computer training in Kunming!
1.Hardware performance in terms of database Io.
The most likely impact on performance is disk and network throughput. Workaround:
Expand the virtual memory and make sure there is enough room to expand.
Turn off unnecessary services on the database server.
Maximize the throughput of the SQL Database server.
2.Adjust the database.
If the query frequency of the table is high, the index is created.
Partitioning (e.g., MySQL, partitioning by time).
Whenever possible, use fixed-length fields and limit the length of fields (e.g., varchar(10)).
Reduce physical storage space.
Increase database processing speed.
It comes with the function of verifying whether the database is legitimate.
3.Use stored procedures.
In the implementation of the application, the operations on the database that can be implemented by using stored procedures are implemented through stored procedures as much as possible.
Because a stored procedure is a one-time design, code, test, and reuse stored on the database server, the application that needs to perform the task can simply execute the stored procedure and return only the result set or numeric value.
This not only modularizes the program, but also improves the response speed, reduces network traffic, and accepts input through input parameters, so that the logic is implemented consistently in the application.
Statements. Indexing query criteria is only a prerequisite for speed, and responsiveness depends on the use of indexes. Bad SQL often comes from inappropriate index design, inadequate connection conditions, and unoptimized where clauses.
Optimized SQL statements to reduce the number of comparisons.
Limit the number of entries that can be returned (limit is used in MySQL).
Create a database.
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