data sources. Read/write Split‐ ting Read/write splitting can be used to cope with business access with high stress. Based on its understanding of SQL semantics and the topological awareness of the achieve load balancing for read access. High Avail‐ ability High availability is a basic requirement for a data storage and computing platform. Shard‐ ingSphere provides access to high‐availability computing management and operation situation. Apache ShardingSphere is an ecosystem composed of multiple access ports. By combining ShardingSphere‐JDBC and ShardingSphere‐Proxy, and using the same registry to

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 management and operation situation. Apache ShardingSphere is an ecosystem composed of multiple access ports. By combining ShardingSphere‐JDBC and ShardingSphere‐Proxy, and using the same registry to B+ tree index. When the data amount exceeds the threshold, deeper index will increase the disk IO access number, and thereby, weaken the performance of query. In the same time, high concurrency requests

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 management and operation situation. Apache ShardingSphere is an ecosystem composed of multiple access ports. By combining ShardingSphere‐JDBC and ShardingSphere‐Proxy, and using the same registry to B+ tree index. When the data amount exceeds the threshold, deeper index will increase the disk IO access number, and thereby, weaken the performance of query. In the same time, high concurrency requests

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 management and operation situation. Apache ShardingSphere is an ecosystem composed of multiple access ports. By combining ShardingSphere‐JDBC and ShardingSphere‐Proxy, and using the same registry to B+ tree index. When the data amount exceeds the threshold, deeper index will increase the disk IO access number, and thereby, weaken the performance of query. In the same time, high concurrency requests

267 Run Docker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 Access ShardingSphere‐Proxy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 FAQ . . . . . defines itself as a cloud native database agent of the Kubernetes en‐ vironment, in charge of all the access to the database in the form of sidecar. It provides a mesh layer interacting with the database, we call this as Database Mesh. Database Mesh emphasizes on how to connect distributed database access application with the database. Focusing on interaction, it effectively organizes the interaction

209 Run Docker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 Access ShardingSphere‐Proxy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 FAQ . . . . . quickly link applications and multi‐mode heterogeneous databases quickly. • Enhance: Capture database access entry to provide additional features transparently, such as: redirect (sharding, readwrite‐splitting encrypt and mask), authen‐ tication (security, audit and authority), governance (circuit breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and

can quickly connect applications and heterogeneous databases quickly. • Enhance: Capture database access entry to provide additional features transparently, such as: redirect (sharding, readwrite‐splitting encrypt and mask), authen‐ tication (security, audit and authority), governance (circuit breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and database access in the form of a sidecar. It provides a mesh layer interacting with the database, we call this Database Mesh. Database Mesh emphasizes how to connect distributed data‐access applications

can quickly connect applications and heterogeneous databases quickly. • Enhance: Capture database access entry to provide additional features transparently, such as: redirect (sharding, readwrite‐splitting encrypt and mask), authen‐ tication (security, audit and authority), governance (circuit breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and database access in the form of a sidecar. It provides a mesh layer interacting with the database, we call this Database Mesh. Database Mesh emphasizes how to connect distributed data‐access applications

sharding item sequence number stores detailed information. The child node under each shard is used to control and record the running status of the shard. Node details description： 5.2. Elastic Schedule 11 core of the job more purely, the server function may be deleted in the future, and the ability to control whether the server is disabled should be delegated to the automated deployment system. leader node ShardingSphere ElasticJob document 6.1.4 Operation API ElasticJob provides a Java API, which can control the life cycle of jobs in a distributed environment by directly operating the registry. The module

easier to deploy and test. Supports inline SQL − No pre-compiler is needed, and you can have the full access to all of the features of SQL. Supports dynamic SQL − MyBatis provides features for dynamic building further, make sure that you understand the basics of procedural and object-oriented programming − control structures, data structures and variables, classes, objects, etc. To understand JAVA in detail you