10 recommended articles on optimizing performance
This article mainly introduces the tutorial of MySQL to implement batch insertion to optimize performance. The running time is given to express the comparison after performance optimization. Friends in need can refer to it. For some systems with large amounts of data, the database faces In addition to low query efficiency, the problem is that it takes a long time for data to be stored in the database. Especially for reporting systems, the time spent on data import may last for several hours or more than ten hours every day. Therefore, it makes sense to optimize database insertion performance. After some performance tests on MySQL innodb, I found some methods that can improve insert efficiency for your reference. 1. One SQL statement inserts multiple pieces of data. Commonly used insert statements such as INSERT INTO `insert_table` (`datetime`, `uid`, `content`, `type`) VALUES ('0', 'userid_0'
Introduction: This article mainly introduces the tutorial of MySQL to implement batch insertion to optimize performance. The running time is given in the article to indicate the comparison after performance optimization. Need Friends can refer to
2. Linux environment multi-threaded programming infrastructure
Introduction: Sometimes in order to optimize performance, the compiler will cache the values of some variables into registers. Therefore, if the compiler finds that the value of the variable has not changed, it will read the value from the register. value, this can avoid memory access
##3. Performance Optimization PHP Optimization Performance Adjustment and Optimization Adjustment to Optimize Performance How to Optimize Computer Performance
Introduction: Performance optimization, php: Performance optimization of PHP optimization: 1. Language performance optimization 1. Use the ab tool under Apache for performance testing: ab -n100 -c100 https://www.baidu .com/ (requests 100 times, concurrency is 100) focus on two quantities: Requests per second (requests per second) and Time per request (average response time) 2. Try to use PHP built-in variables, constants, and functions for the following reasons: The PHP code needs to be individually scanned by the zend engine into zend-recognizable syntax, and then decoded.
4. [Optimize performance] Ask experts to streamline the configuration of curl, how to solve it
Introduction: [Optimize performance] Asking experts to streamline the use and configuration of curl. I have a curl program. Because it curls to a foreign web service, the operation time is too long. Sometimes it may take about 10 seconds to complete. I'm wondering if I can simplify the code in curl? But I don't dare to reduce it randomly. I'll post my curl code first. Can anyone help? Which lines of code can be removed without affecting the use? PHP code #POST method
5. Use examples to explain the database query of the prefetch_related() function in the Django framework in Python Optimization
Introduction: This article mainly introduces the optimization of database queries by the prefetch_related() function in the Django framework in Python using examples, which can reduce the number of database queries. Times to optimize performance, friends in need can refer to
##Introduction: mysql optimization Friends who use mysql for diary can refer to it. Everyone knows that if mysql is optimized and not optimized, the performance will be quite different.7.
Get the maximum optimization performance from MySQL##Introduction: Get the maximum optimization performance from MySQL
8.
mySQL optimization my.ini configuration detailed instructionsIntroduction: Configuration and optimization performance in mysql in addition to slave programs In addition to the above operations, we also have an important file that can optimize the performance of mysql. My.ini is the file we are going to talk about. Let me introduce the use of parameters in the my.ini file.
9. How to obtain the optimized performance of SQL Server?
Introduction: In order to maximize the performance of SQL Server, you must first determine several aspects. When these aspects are optimized, the overall system performance can be maximized. Then you can analyze these aspects. Otherwise, you may do less with less. Experience has proven that SQL Server performance improvement mainly depends on logical database design, index design and query design. On the contrary, the biggest performance problems often stem from design flaws in these aspects. If database performance is a focus, you should focus on these aspects first
10. Pitfalls~SQL full table scans and clustered index scans
Introduction: When querying in SqlServer, in order to optimize performance, we usually create indexes for the fields of the where condition. If the conditions are relatively fixed, we will also create a combined index. Next, let's take a look at the index and Query related knowledge and related pitfalls. I think that the SQL table automatically adds a clustered index to the primary key is an optimization of the query, because if clustered (up to
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The above is the detailed content of 10 recommended articles on optimizing performance. For more information, please follow other related articles on the PHP Chinese website!

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Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
