Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP applications developed with Java. ShardingSphere‐Proxy provides static entry and supports all transactions. 3.2.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent Configuration("demo_write_ds", Arrays.asList("demo_read_ds_0", "demo_read_ds_1")), null,"demo_ weight_lb"); Properties algorithmProps = new Properties(); algorithmProps.setProperty("demo_read_ds_0"

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP applications developed with Java. ShardingSphere‐Proxy provides static entry and supports all transactions. 3.2.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent Configuration("demo_write_ds", Arrays.asList("demo_read_ds_0", "demo_read_ds_1")), null,"demo_ weight_lb"); Properties algorithmProps = new Properties(); algorithmProps.setProperty("demo_read_ds_0"

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP applications developed with Java. ShardingSphere‐Proxy provides static entry and supports all transactions. 8.2.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent "demo_read_query_ds", "demo_write_ds", Arrays.asList("demo_read_ds_ 0", "demo_read_ds_1"), "demo_weight_lb"); Properties algorithmProps = new Properties(); 9.1. ShardingSphere-JDBC 103 Apache ShardingSphere

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP applications developed with Java. ShardingSphere‐Proxy provides static entry and supports all transactions. 8.2.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent "demo_read_query_ds", "demo_write_ds", Arrays.asList("demo_read_ds_ 0", "demo_read_ds_1"), "demo_weight_lb"); Properties algorithmProps = new Properties(); 9.1. ShardingSphere-JDBC 110 Apache ShardingSphere

Configuration("demo_write_ds", Arrays.asList("demo_read_ds_0", "demo_read_ds_1")), null,"demo_ weight_lb"); Properties algorithmProps = new Properties(); algorithmProps.setProperty("demo_read_ds_0" AlgorithmConfiguration> algorithmConfigMap = new HashMap<>(1); algorithmConfigMap.put("demo_weight_lb", new AlgorithmConfiguration("WEIGHT ", algorithmProps)); ReadwriteSplittingRuleConfiguration ruleConfig = new AUTO_AWARE_RESOURCE=group_0, WRITE_DATA_SOURCE_QUERY_ENABLED=false, TYPE(NAME="random",PROPERTIES("read_weight"="2:1")) ); 4.2. ShardingSphere-Proxy 194 Apache ShardingSphere document, v5.2.0 ALTER READWRITE_SPLITTING

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages Adaptors ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages concurrency 4.4.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages Adaptors ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages concurrency 4.4.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent

Architecture ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages Adaptors ShardingSphere‐JDBC adopts a decentralized architecture, applicable to high‐performance light‐weight OLTP application developed with Java. ShardingSphere‐Proxy provides static entry and all languages concurrency 4.3.2 Challenge For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions. Highly consistent

"demo_read_query_ds", "demo_write_ds", Arrays.asList("demo_read_ds_ 0", "demo_read_ds_1"), "demo_weight_lb"); Properties algorithmProps = new Properties(); algorithmProps.setProperty("demo_read_ds_0" AlgorithmConfiguration> algorithmConfigMap = new HashMap<>(1); algorithmConfigMap.put("demo_weight_lb", new AlgorithmConfiguration("WEIGHT ", algorithmProps)); ReadwriteSplittingRuleConfiguration ruleConfig = new algorithm.loadbalance. RandomReadQueryLoadBalanceAlgorithm | | WeightReadQueryLoadBalanceAlgorithm | WEIGHT | org.apache. shardingsphere.readwritesplitting.algorithm.loadbalance. WeightReadQueryLoadBalanceAlgorithm

"demo_read_query_ds", "demo_write_ds", Arrays.asList("demo_read_ds_ 0", "demo_read_ds_1"), "demo_weight_lb"); Properties algorithmProps = new Properties(); algorithmProps.setProperty("demo_read_ds_0" AlgorithmConfiguration> algorithmConfigMap = new HashMap<>(1); algorithmConfigMap.put("demo_weight_lb", new AlgorithmConfiguration("WEIGHT ", algorithmProps)); ReadwriteSplittingRuleConfiguration ruleConfig = new WRITE_STORAGE_UNIT=write_ds, READ_STORAGE_UNITS(read_ds), TYPE(NAME="random",PROPERTIES("read_weight"="2:0")) ); • 删除读写分离规则 DROP READWRITE_SPLITTING RULE group_0; • 移除数据源 UNREGISTER STORAGE UNIT