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 includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety distribution of actual tables. Includes implementations of common sharding algorithms such as modulo, hash, range, and time. 8.1. Sharding 26 Apache ShardingSphere document Customized Sharding Algorithm

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 includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety distribution of actual tables. Includes implementations of common sharding algorithms such as modulo, hash, range, and time. 8.1. Sharding 26 Apache ShardingSphere document Customized Sharding Algorithm

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 includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety distribution of actual tables. Includes implementations of common sharding algorithms such as modulo, hash, range, and time. Customized Sharding Algorithm Provides a portal for application developers to

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 includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ Proxy. They all provide functions of data scale‐out, distributed transaction and distributed governance, applicable in a variety distribution of actual tables. Includes implementations of common sharding algorithms such as modulo, hash, range, and time. Customized Sharding Algorithm Provides a portal for application developers to

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

. . . . . . . . . . 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 convenient and isolated way, and create an ecosystem of ElasticJob jobs. While ElasticJob provides functions such as elastic scaling and distributed management of jobs, it does not limit the types of jobs

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

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 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 relational databases. In the future, the SQL parsing engine will continue to provide powerful functions such as SQL formatting and SQL templating. Features • Independent SQL parsing engine • The syntax

标 注， 例 如 NAME="AlgorithmTypeName" ； • 当指定 ShardingSphere 内置算法类型名称时可以不使用 "" 对算法类型名称进行标注, 例如 NAME=HASH_MODE ； RDL 语法 RDL (Resource & Rule Definition Language) 为 Apache ShardingSphere 的资源和规则定义语言。 存储单元定义 CREATE SHARDING TABLE RULE t_order ( STORAGE_UNITS(ds_0,ds_1), SHARDING_COLUMN=order_id,TYPE(NAME="hash_mod",PROPERTIES("sharding-count"="4")), KEY_GENERATE_STRATEGY(COLUMN=another_id,TYPE(NAME="snowflake")) TABLE RULE IF NOT EXISTS t_order ( STORAGE_UNITS(ds_0,ds_1), SHARDING_COLUMN=order_id,TYPE(NAME="hash_mod",PROPERTIES("sharding-count"="4")), KEY_GENERATE_STRATEGY(COLUMN=another_id,TYPE(NAME="snowflake"))