Article Introduction：In Java cache technology, especially in the field of distributed cache, cache ID mapping is a very critical issue. Cache ID refers to the unique identifier used to identify an object in the cache, that is, the cache key. Cache ID mapping refers to the process of mapping cache keys to actual cache server addresses. Why do I need to cache ID mapping? In a distributed cache, there are usually multiple cache servers, and each server stores a portion of the cache data. When a client requests a cache object, it

2023-06-20 comment 0  1227

Article Introduction：MyBatis is an excellent persistence layer framework that provides a rich caching mechanism, including first-level cache and second-level cache. This article will comprehensively analyze the caching mechanism of MyBatis from the first level cache to the second level cache, and provide specific code examples. The first-level cache of MyBatis is a SqlSession-based cache, also called a local cache. When executing the same SQL statement and passing in the same parameters, MyBatis will cache the query results in SqlSes

2024-02-23 comment 0  525

Article Introduction：Level 2 cache and level 3 cache are two common cache levels in computer systems. They have obvious differences in functionality and performance. First of all, the second-level cache is a layer of cache located between the central processing unit (CPU) and the main memory. It usually consists of a high-speed cache (L1) and a secondary cache (L2). The L1 cache is located inside the CPU and has the lowest latency and smallest capacity. It mainly stores data frequently accessed by the CPU core. The L2 cache is located on the CPU chip, has a larger capacity, and stores more data. In contrast, Level 3 mitigation

2024-02-18 comment 0  659

Article Introduction：MyBatis cache strategy analysis: best practices for first-level cache and second-level cache When developing using MyBatis, we often need to consider the choice of cache strategy. The cache in MyBatis is mainly divided into two types: first-level cache and second-level cache. The first-level cache is a SqlSession-level cache, while the second-level cache is a Mapper-level cache. In practical applications, rational use of these two caches is an important means to improve system performance. This article will use specific code examples to analyze a MyBatis

2024-02-21 comment 0  1239

Article Introduction：Mybatis first-level cache and second-level cache are two different levels of caching mechanisms provided by mybatis. The first-level cache is the cache mechanism enabled by default in mybatis. It is a thread-based local cache, and the second-level cache is based on the namespace level cache. Can be shared by multiple SqlSession objects.

2023-08-09 comment 0  1826

Article Introduction：With the development of Internet applications, the amount of data is becoming larger and larger, and access speed is becoming more and more important. In software development, caching technology has become an important means to improve application performance. Java caching technology includes a variety of caching implementation methods. When using caching technology, cache identifiers are also an issue that needs attention. This article will introduce cache identifiers in Java cache technology, and conduct an in-depth discussion of the concept, function, and common implementation methods of cache identifiers. 1. The concept of cache identifier. The cache identifier refers to the unique identifier of the cached object.

2023-06-20 comment 0  1104

Article Introduction：With the rapid development of the Internet, the performance requirements of application systems are getting higher and higher. For large concurrent applications, caching technology is an indispensable part. Among them, Java caching technology is widely used. With the support of caching technology, we can greatly improve the performance of application systems. In caching technology, there are two commonly used methods: single caching and batch caching. A single cache refers to operating only a single cache at a time, while batch caching refers to operating caches in batches. In the process of using caching technology, we must make full use of batch caching, which can not only improve

2023-06-20 comment 0  1407

Article Introduction：Detailed explanation of MyBatis caching mechanism: One article to understand the principle of cache storage Introduction When using MyBatis for database access, caching is a very important mechanism, which can effectively reduce access to the database and improve system performance. This article will introduce the caching mechanism of MyBatis in detail, including cache classification, storage principles and specific code examples. 1. Cache classification MyBatis cache is mainly divided into two types: first-level cache and second-level cache. The first-level cache is a SqlSession-level cache. When

2024-02-23 comment 0  997

Article Introduction：With the continuous development of computer applications, performance issues have always been a focus of attention in computer science. Caching, as one of the key technologies to improve system performance, has been widely used. In Java, caching technology has also been widely used, but the cache validity period is an important factor that needs to be considered when using caching technology. The cache validity period refers to the time that cached data is stored in the cache. After this time, the cached data will be automatically deleted or recalculated. The setting of the cache validity period can not only control the validity of the data in the cache, but also

2023-06-19 comment 0  2466

Article Introduction：顾名思义文件缓存转内存缓存就是将存储在文件中的数据转到内存中去，实现磁盘操作转为内存操作，这样可以大大提高数据访问速度，并能实现缓存数据的分布式部署。文件缓存与内存缓存的介绍请参考名词解释部

2016-06-01 comment 0  957

Article Introduction：Mybatis first-level cache and second-level cache usage: 1. The first-level cache is the cache mechanism enabled by MyBatis by default. It will first check whether the same query result already exists in the first-level cache of the current thread. If it exists, the data in the cache will be returned directly. Instead of sending query requests to the database; 2. The second-level cache is a caching mechanism based on namespace. It will first check whether the same query result already exists in the current namespace second-level cache. If it exists, it will directly return the data in the cache without Then send the query request to the database.

2023-08-21 comment 0  1003

Article Introduction：In Java caching technology, cache null value handling is a very important topic. Caching technology is one of the technologies often used in modern software systems. It can reduce the load of the software system and improve system performance. Java caching technology is a technology based on memory caching, which can effectively reduce the I/O operations of the database, thereby increasing the speed of data access. However, there are also some problems in Java caching technology, and cache null value processing is one of them. Cache null value processing refers to when using Java caching technology

2023-06-21 comment 0  1283

Article Introduction：Cache expiration strategy in Java caching technology In the process of using caching technology to optimize program performance, a reasonable cache expiration strategy is very important. Because once the cache expiration policy fails, it will lead to problems such as inaccurate, invalid or expired data in the cache, thus reducing the performance and accuracy of the program. In Java caching technology, the cache expiration strategies often used are as follows: Time expiration strategy The time expiration strategy means that the cached data sets an expiration time. The data is valid within this time. Once the expiration time is up, the cached data will be automatically invalidated.

2023-06-21 comment 0  2579

Article Introduction：The difference between cache penetration and cache penetration: Cache penetration: occurs when a large number of concurrent requests access uncached keys, causing excessive pressure on the database. Cache penetration: occurs when malicious requests or crawlers frequently access keys that have never been cached, resulting in unnecessary database access.

2024-04-19 comment 0  1141

Article Introduction：Analysis of MyBatis' caching mechanism: The difference and application of first-level cache and second-level cache In the MyBatis framework, caching is a very important feature that can effectively improve the performance of database operations. Among them, first-level cache and second-level cache are two commonly used caching mechanisms in MyBatis. This article will analyze the differences and applications of first-level cache and second-level cache in detail, and provide specific code examples to illustrate. 1. Level 1 Cache Level 1 cache is also called local cache. It is enabled by default and cannot be turned off. The first level cache is SqlSes

2024-02-25 comment 0  867

Article Introduction：In Java development, caching technology is extremely important, especially in high-concurrency scenarios. Reasonable caching design can significantly improve system performance and save server resources. For the data in the cache, especially in a multi-threaded environment, the correctness and reliability of the cached data are particularly critical. Therefore, this article will introduce a common caching technology: cache data locking. 1. Why does cache data need to be locked? In applications, caching is an important part of maintaining and improving system performance. However, when multiple threads concurrently access cached data,

2023-06-20 comment 0  1400

Article Introduction：Cache Scheduler in Java Cache Technology Caching is a very common technology in modern computer applications, which can greatly improve the performance and response speed of the application. Java caching technology is a very popular caching technology that can help developers handle high-concurrency applications. However, caching technology is not static and needs to be constantly updated and improved, of which the cache scheduler is a very important part. The cache scheduler is one of the important components of Java caching technology. It can

2023-06-20 comment 0  1213

Article Introduction：Cache data normalization in Java caching technology With the rapid development of Internet technology, system performance and response speed have become key words in software development. In this context, caching technology plays an increasingly important role in modern software development. While Java caching technology achieves efficient caching, it also needs to normalize cached data to ensure data consistency and reliability. What is cache data normalization? Cache data normalization refers to normalizing the data in the cache to ensure the consistency of the cache data.

2023-06-20 comment 0  1332

Article Introduction：Cache data sharding in Java cache technology With the rapid development of the Internet and the arrival of the big data era, the rapid growth of data volume has brought huge challenges to our data storage and processing. In order to solve this problem, caching technology came into being. Caching refers to storing data in faster storage devices in order to speed up data access and read and write operations. In Java caching technology, caching data sharding is a common technical means. What is cached data sharding? In high-concurrency scenarios, cache often becomes a bottleneck. At this time, we can pass

2023-06-20 comment 0  1521

Article Introduction：As modern applications become more and more complex, caching technology has become one of the important means to improve application performance and scalability. Java provides many caching techniques to handle large amounts of data and processing resources. However, since the cache contains sensitive data, cache access control has become one of the important issues in Java cache technology. Cache access control refers to controlling access to cached data to ensure that only authorized users can access sensitive data. Java provides a variety of cache access control mechanisms to protect cache

2023-06-20 comment 0  845