2 2 Features • Elastic Schedule – Support job sharding and high availability in distributed system – Scale out for throughput and efficiency improvement – Job processing capacity is flexible and Schedule Elastic schedule is the most important feature in ElasticJob, which acts as a job processing system that enables the horizontal scaling of jobs by sharding, it’s also the origin of the project name“ElasticJob” ability to control whether the server is disabled should be delegated to the automated deployment system. leader node The master node information of the job server is divided into three sub‐nodes: election

The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are all governed by the registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to

The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are all governed by the registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to

reasonably making full use of the computation and storage capacity of existed database in distributed system, rather than a totally new database. As the cornerstone of enterprises, relational database still database. The application and database that use Database Mesh to visit database will form a large grid system, where they just need to be put into the right position accordingly. They are all gov‐ erned by same registry center, ShardingSphere can build an application system applicable to all kinds of scenarios. Architects can adjust the system architecture to the most applicable one to current business more

The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are all governed by the registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to registry center, ShardingSphere can build an application system that is applicable to all kinds of scenarios. Ar‐ chitects can adjust the system architecture to the most applicable one to their needs to

Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 Impact on the System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 Limitations . . . . . . . is an open source ecosystem that allows you to transform any database into a distributed database system. The project includes a JDBC and a Proxy, and its core adopts a micro‐ kernel and pluggable architecture isolation support for complex testing work. The obtained testing result can accurately reflect the system’s true capacity and performance. 1.1. What is ShardingSphere 2 Apache ShardingSphere document,

Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 Impact on the System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 Limitations . . . . . . . Introduction Apache ShardingSphere is an ecosystem to transform any database into a distributed database system, and enhance it with sharding, elastic scaling, encryption features & more. The project is committed flexibly build application systems for various scenarios, allowing architects to freely adjust the system architecture according to the current businesses. 1.3. Deployment 7 Apache ShardingSphere document

Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 Impact on the System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 Limitations . . . . . . . Introduction Apache ShardingSphere is an ecosystem to transform any database into a distributed database system, and enhance it with sharding, elastic scaling, encryption features & more. The project is committed flexibly build application systems for various scenarios, allowing architects to freely adjust the system architecture according to the current businesses. 3.3. Hybrid Architecture 9 Apache ShardingSphere

Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 Impact on the System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Limitations . . . . . . . Introduction Apache ShardingSphere is an ecosystem to transform any database into a distributed database system, and enhance it with sharding, elastic scaling, encryption features & more. The project is committed flexibly build application systems for various scenarios, allowing architects to freely adjust the system architecture according to the current businesses. 3.3. Hybrid Architecture 9 Apache ShardingSphere

//Insert student data session.insert("Student.insert", student); System.out.println("record inserted successfully"); session.commit(); session.close(); System.out.println(st.getId()); System.out.println(st.getName()); System.out.println(st.getBranch()); System.out.println(st.getPercentage()); System.out out.println(st.getEmail()); System.out.println(st.getPhone()); } System.out.println("Records Read Successfully "); session.commit(); session.close();