splitting can be used to cope with business access with high stress. Sharding‐ Sphere provides flexible read/write splitting capabilities and can achieve read access load balancing based on the understanding 4 Apache ShardingSphere document 2.1 Connect: Create database upper level standard Through flexible adaptation of database protocols, SQL dialects, and database storage, it can quickly build standards their performance cannot meet the needs in scenarios with high concurrency, and most of them use flexible transactions with ultimate consistency instead of strong consistent transactions. 8.1.3 Goal

SQL semantics and the topological awareness of the underlying database, ShardingSphere provides flexible and secure read/write splitting capabilities and can achieve load balancing for read access. High Apache ShardingSphere document, v5.2.0 1.2.1 Connect: Create database upper level standard Through flexible adaptation of database protocols, SQL dialects, and database storage, it can quickly build standards their performance cannot meet the needs in scenarios with high concurrency, and most of them use flexible transactions with ultimate consistency instead of strong consistent transactions. 3.1.3 Goal

fragmentation. The concepts at the core of the project are Connect, Enhance and Pluggable. • Connect: Flexible adaptation of database protocol, SQL dialect and database storage. It can quickly connect applications eventually be transformed into Java API configuration methods. The Java API is the most complex and flexible configuration method, which is suitable for the scenarios requiring dynamic configuration through ShardingSphere‐Proxy’s image name. The default set‐ ting is to pull it from the Apache official‐images reposi‐ tory. a p a c h e / s h a r d i n g s p h e r e ‐ p r o x y ˋ ˋ ˋˋ image.pul lPolicyˋˋ

splitting can be used to cope with business access with high stress. Sharding‐ Sphere provides flexible read/write splitting capabilities and can achieve read access load balancing based on the understanding Apache ShardingSphere document, v5.2.1 1.2.1 Connect: Create database upper level standard Through flexible adaptation of database protocols, SQL dialects, and database storage, it can quickly build standards their performance cannot meet the needs in scenarios with high concurrency, and most of them use flexible transactions with ultimate consistency instead of strong consistent transactions. 3.1.3 Goal

splitting can be used to cope with business access with high stress. Sharding‐ Sphere provides flexible read/write splitting capabilities and can achieve read access load balancing based on the understanding 4 Apache ShardingSphere document 2.1 Connect: Create database upper level standard Through flexible adaptation of database protocols, SQL dialects, and database storage, it can quickly build standards their performance cannot meet the needs in scenarios with high concurrency, and most of them use flexible transactions with ultimate consistency instead of strong consistent transactions. 8.1.3 Goal

<=, >, <, BETWEEN and IN. They need to be implemented by developers themselves and can be highly flexible. Currently, 3 kinds of sharding algorithms are available. Since the sharding algorithm and business simple and can generally be divided into last number modulo, hash, range, tag, time and so on. More flexible, sharding strategies set by users can be customized according to their needs. Together with automatic solution due to increasing users’study cost and use cost. This kind of dichotomy solution lacks flexible coping ability to switch between two modes with static initialization. In practical situations

fragmentation. The concepts at the core of the project are Connect, Enhance and Pluggable. • Connect: Flexible adaptation of database protocol, SQL dialect and database storage. It can quickly connect applications eventually be transformed into Java API configuration methods. The Java API is the most complex and flexible configuration method, which is suitable for the scenarios requiring dynamic configuration through simple and can generally be divided into last number modulo, hash, range, tag, time and so on. More flexible, sharding strategies set by users can be customized according to their needs. Together with automatic

. . . . 93 11 Blog 95 v Apache ShardingSphere ElasticJob document Through the functions of flexible scheduling, resource management and job management, it creates a distributed scheduling solution distributed system – Scale out for throughput and efficiency improvement – Job processing capacity is flexible and scalable with the allocation of resources • Resource Assign – Execute job on suitable time Shanghai, Guangzhou in the codes. 5.2.2 Maximize the usage of resources ElasticJob provides a flexible way to maximize the throughput of the jobs. When new job server joins, ElasticJob will be aware

new database. The concepts at the core of the project are Link, Enhance and Pluggable. • Link: Flexible adaptation of database protocol, SQL dialect and database storage. It can quickly link applications eventually be transformed into Java API configuration methods. The Java API is the most complex and flexible configuration method, which is suitable for the scenarios requiring dynamic configuration through simple and can generally be divided into last number modulo, hash, range, tag, time and so on. More flexible, sharding strategies set by users can be customized according to their needs. Together with automatic

Hibernate generates SQL for you, which means you don’t have to spend time on generating SQL. It is flexible, offers faster development time. It is highly scalable, provides a much more advanced cache. It