Detailed introduction to 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'

1. How to optimize performance? Detailed examples of MySQL implementing batch insertion to optimize performance

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

6. mysql optimization diary

Get the maximum optimization performance from MySQL##Introduction: Get the maximum optimization performance from MySQL

8.

Introduction: 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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