algorithmProperties: algorithmProperty [, algorithmProperty] ... algorithmProperty: key=value • Support the creation of static readwrite‐splitting rules and dynamic readwrite‐splitting rules • Dynamic readwrite‐splitting database (refer to ShardingSphere‐Proxy data source configuration rules) 3. Create a role or user with creation permission for ShardingSphere‐Proxy 4. Start Zookeeper service (for persistent configuration) database (refer to ShardingProxy data source configuration rules) 3. Create a role or user with creation permission for ShardingProxy 4. Start Zookeeper service (for persistent configuration) Start ShardingProxy

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation algorithmProperties: algorithmProperty [, algorithmProperty] ... algorithmProperty: key=value • Support the creation of static readwrite‐splitting rules and dynamic readwrite‐splitting rules • Dynamic readwrite‐splitting MySQL service; 2. Create to be registered MySQL databases; 3. Create role and user in MySQL with creation permission for ShardingSphere‐Proxy; 4. Start Zookeeper service; 5. Add mode and authentication

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation algorithmProperties: algorithmProperty [, algorithmProperty] ... algorithmProperty: key=value • Support the creation of static readwrite‐splitting rules and dynamic readwrite‐splitting rules • Dynamic readwrite‐splitting MySQL service; 2. Create to be registered MySQL databases; 3. Create role and user in MySQL with creation permission for ShardingSphere‐Proxy; 4. Start Zookeeper service; 5. Add mode and authentication

EN‐ GINE = InnoDB DEFAULT CHARSET = utf8; INSERT INTO t_order_item(order_id, user_id, status, creation_date) values (1, 1, ‘insert’, ‘2017‐08‐08’), (2, 2, ‘insert’, ‘2017‐08‐08’) ON DUPLICATE KEY UPDATE UPDATE status = ‘init’; INSERT INTO t_order_item (order_id , user_id , sta‐ tus , creation_date)VALUES (1, 1,‘insert’, ‘2017‐08‐08’), (2, 2,‘insert’,‘2017‐08‐08’ )ON DUPLICATE KEY UPDATE status execu‐ tion requests directly to the thread pool to concurrently execute, but focuses more on the creation of a balanced data source connection, the consumption generated by the memory usage, the maximum

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation between encryption rules. Based on the YAML configuration, ShardingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. Parameters SpringBoot’s capabilities, such as configuration initialization and Bean manage‐ ment. It can complete the creation of the ShardingSphereDataSource object and reduce unnecessary coding. Parameters spring.shardingsphere

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation between encryption rules. Based on the YAML configuration, ShardingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. 4.1. ShardingSphere-JDBC SpringBoot’s capabilities, such as configuration initialization and Bean manage‐ ment. It can complete the creation of the ShardingSphereDataSource object and reduce unnecessary coding. 4.1. ShardingSphere-JDBC

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation between encryption rules. Based on the YAML configuration, ShardingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. Parameters between mask rules. Based on the YAML configuration, Shard‐ ingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. Parameters

is a new challenge. The point‐to‐point operation mode of logging in to a specific server cannot suite to large number of dis‐ tributed servers. Telemetry through observable data is the recommended operation between encryption rules. Based on the YAML configuration, ShardingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. Parameters between mask rules. Based on the YAML configuration, Shard‐ ingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users. Parameters

INT NOT NULL, order_id INT NOT NULL, user_id INT NOT NULL, status VARCHAR(45) CHARSET utf8mb4, creation_date DATE, PRIMARY KEY (item_id)); INSERT INTO t_order (order_id, user_id, status) VALUES (1,2 EN‐ GINE = InnoDB DEFAULT CHARSET = utf8; INSERT INTO t_order_item(order_id, user_id, status, creation_date) values (1, 1,‘insert’,‘2017‐08‐08’), (2, 2,‘insert’, ‘2017‐08‐08’) ON DUPLICATE KEY UPDATE 使用指南 模 块 路 径：shardingsphere-test/shardingsphere-integration-test/ shardingsphere-integration-test-suite 测试用例配置 SQL 用例在 resources/cases/${SQL-TYPE}/${SQL-TYPE}-integration-test-cases.xml。 用例文件格式如下：

EN‐ GINE = InnoDB DEFAULT CHARSET = utf8; INSERT INTO t_order_item(order_id, user_id, status, creation_date) values (1, 1, ‘insert’, ‘2017‐08‐08’), (2, 2, ‘insert’, ‘2017‐08‐08’) ON DUPLICATE KEY UPDATE UPDATE status = ‘init’; INSERT INTO t_order_item (order_id , user_id , sta‐ tus , creation_date)VALUES (1, 1,‘insert’, ‘2017‐08‐08’), (2, 2,‘insert’,‘2017‐08‐08’ )ON DUPLICATE KEY UPDATE status 使用指南 模 块 路 径：shardingsphere-test/shardingsphere-integration-test/ shardingsphere-integration-test-suite 测试用例配置 SQL 用例在 resources/cases/${SQL-TYPE}/${SQL-TYPE}-integration-test-cases.xml。 用例文件格式如下：