computing enhancement engine . . . . . . . . . . . . . . . . . . . 5 2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 L1 Kernel Layer . . . . . . . . ShardingSphere supports data isolation in com‐ plex load testing scenarios through the shadow database function. Execute your load testing scenarios in a production environment without worrying about test data computing enhancement engine It can further provide distributed capabilities and traffic enhancement functions based on native database capabilities. The former can break through the bottleneck of the underlying

computing enhancement engine . . . . . . . . . . . . . . . . . . . 5 2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 L1 Kernel Layer . . . . . . . . ShardingSphere supports data isolation in com‐ plex load testing scenarios through the shadow database function. Execute your load testing scenarios in a production environment without worrying about test data computing enhancement engine It can further provide distributed capabilities and traffic enhancement functions based on native database capabilities. The former can break through the bottleneck of the underlying

::= 'SHOW' 'PLUGINS' 'OF' interfaceClass interfaceClass ::= string 返回值说明 列 说明 type 类型 type_aliases 类型别名 description 描述 示例 • 查询 org.apache.shardingsphere.sharding.spi.ShardingAlgorithm 接口的所有实 现类 sharding.spi.ShardingAlgorithm'; +----------------+--------------+-------------+ | type | type_aliases | description | +----------------+--------------+-------------+ | MOD | | | | HASH_MOD | | | showShardingAlgorithmPlugins ::= 'SHOW' 'SHARDING' 'ALGORITHM' 'PLUGINS' 返回值说明 列 说明 type 类型 type_aliases 类型别名 description 描述 示例 • 查询 org.apache.shardingsphere.sharding.spi.ShardingAlgorithm 接口的所有实 现类

solu‐ tions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale out, distributed transaction and distributed governance, applicable in a variety ShardingSphere also plans to cite Hint through special notation in SQL, so that users can use that function in a more transparent way. The SQL designated with sharding hint will ignore the former sharding parsing context, which can include tables, options, ordering items, grouping items, aggregation functions, pagination information, query conditions and placeholders that may be revised. Query Optimization

ShardingSphere including 3 independent products: JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety interfaces and implementations 2.3. ShardingSphere-Scaling (Experimental) 9 3 Concepts The functions of Apache ShardingSphere are pretty complex with hundreds of modules, but the con‐ cepts are very including 2 independent products: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety

computing enhancement engine . . . . . . . . . . . . . . . 5 1.2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . 6 L1 Kernel Layer . . . . . . . . . . . . . . . . computing enhancement engine It can further provide distributed capabilities and traffic enhancement functions based on native database capabilities. The former can break through the bottleneck of the underlying Design Philosophy 5 Apache ShardingSphere document, v5.2.0 1.2.3 Pluggable: Building database function ecology The pluggable architecture of Apache ShardingSphere is composed of three layers ‐ L1 Kernel

74 Login with Casdoor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Function list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Design concept . . . . . . . . . . 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 job registration and monitoring information storage. The main job node is only used to handle functions such as sharding and cleaning. Elastic Distributed Implementation • The first server went online

computing enhancement engine . . . . . . . . . . . . . . . 4 1.2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . 4 L1 Kernel Layer . . . . . . . . . . . . . . . . ShardingSphere supports data isolation in com‐ plex load testing scenarios through the shadow database function. Execute your load test‐ ing scenarios in a production environment without worrying about test computing enhancement engine It can further provide distributed capabilities and traffic enhancement functions based on native database capabilities. The former can break through the bottleneck of the underlying

ShardingSphere including 3 independent products: JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety interfaces and implementations 2.3. ShardingSphere-Scaling (Experimental) 9 3 Concepts The functions of Apache ShardingSphere are pretty complex with hundreds of modules, but the con‐ cepts are very including 2 independent products: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety

ShardingSphere including 3 independent products: JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety -p${proxy_password} -h${proxy_host} -P${proxy_port} 2.2. ShardingSphere-Proxy 9 3 Concepts The functions of Apache ShardingSphere are pretty complex with hundreds of modules, but the con‐ cepts are very including 2 independent products: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety