Detailed introduction to memory operation

This article mainly introduces relevant information on the detailed explanation of the memory runtime data area managed by the Java virtual machine. Friends who need it can refer to the detailed explanation of the memory runtime data area managed by the Java virtual machine. The Java virtual machine executes the Java program. In the process, the memory it manages is divided into several different data areas. These areas have their own purposes, as well as the time of creation and destruction. Some areas exist with the startup of the virtual machine process, and some areas are created and destroyed depending on the start and end of the user thread. Program Counter The program counter is a small memory space that can be regarded as a line number indicator of the bytecode executed by the current thread. In the conceptual model of the virtual machine, the bytecode interpreter works by changing the value of this counter to select the next bytecode instruction that needs to be executed. Basic functions such as branches, loops, jumps, exception handling, and thread recovery are all Need to rely on this counter to complete. If the thread is executing a Java method, this counter records the virtual virtual machine being executed.

1. Detailed introduction to the memory runtime data area managed by the Java virtual machine

Introduction: This article mainly introduces the relevant information on the memory runtime data area managed by the Java virtual machine. It is required Friends can refer to

2. MySQL Database Optimization Experience Detailed Discussion (General Server Configuration) Page 1/3

##Introduction: At the same time, the number of online visits continues to increase. When the server with 1G memory obviously feels severely stressed, it will even crash every day or the server will freeze from time to time. This problem has bothered me for more than half a month. MySQL is very scalable. algorithm, so you can usually run it with less memory or give MySQL more memory for better performance.

3. MySQL performance optimization practice

Introduction: At the same time, the number of online visits continues to increase. For 1G memory The server is obviously struggling. In severe cases, it will even crash every day, or the server will freeze from time to time. This problem has bothered me for more than half a month. MySQL uses an algorithm that is very scalable, so you can usually run with less memory or give MySQL more memory to get better performance. Installed

4. Redis runs in full memory

Introduction: In some usage scenarios, we do not You need to use the persistence of Redis, but you need to take advantage of the in-memory database features of redis to achieve full memory operation and achieve the required high performance.

5. Thorough optimization of high-load MySQL database on Linux system (1)

Introduction: Simultaneous online visits continue It is obviously difficult to increase the size of the server with 1G memory. In severe cases, it will even crash every day or the server will freeze from time to time. This problem has troubled me for more than half a month. MySQL uses a very scalable algorithm, so you can usually run with less memory or give MySQL more storage to get better performance. Install my

6. Complete optimization of mysql database under high load on Linux_MySQL

Introduction: Online at the same time The number of visits continues to increase. When the server with 1G memory is obviously severely strained, it will even crash every day or the server will freeze from time to time. This problem has bothered me for more than half a month. MySQL uses a very scalable algorithm, so you can usually Run with less memory or give MySQL more memory for better performance.

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