shardingjdbc javaapi配置
时间: 2023-12-10 10:05:14 浏览: 109
Sharding-JDBC 是一款基于 JDBC 的轻量级 Java 框架,用于分库分表和读写分离场景中。下面是基于 Java API 的 Sharding-JDBC 配置示例:
1. 导入 Sharding-JDBC 相关依赖:
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-core</artifactId>
<version>5.0.0-alpha</version>
</dependency>
```
2. 创建 ShardingDataSource:
```java
DataSourceRule dataSourceRule = new DataSourceRule(createDataSourceMap());
TableRule orderTableRule = TableRule.builder("t_order").actualTables(Arrays.asList("t_order_0", "t_order_1")).dataSourceRule(dataSourceRule).build();
TableRule orderItemTableRule = TableRule.builder("t_order_item").actualTables(Arrays.asList("t_order_item_0", "t_order_item_1")).dataSourceRule(dataSourceRule).build();
ShardingRule shardingRule = ShardingRule.builder().dataSourceRule(dataSourceRule).tableRules(Arrays.asList(orderTableRule, orderItemTableRule)).build();
DataSource dataSource = ShardingDataSourceFactory.createDataSource(shardingRule);
```
其中,`createDataSourceMap()` 方法用于创建数据源 Map:
```java
private static Map<String, DataSource> createDataSourceMap() {
Map<String, DataSource> dataSourceMap = new HashMap<>();
dataSourceMap.put("ds_0", createDataSource("ds_0"));
dataSourceMap.put("ds_1", createDataSource("ds_1"));
return dataSourceMap;
}
private static DataSource createDataSource(final String dataSourceName) {
// TODO: 创建数据源
}
```
3. 配置 Sharding-JDBC 分片策略:
```java
ShardingRule shardingRule = ShardingRule.builder()
.dataSourceRule(dataSourceRule)
.tableRules(Arrays.asList(orderTableRule, orderItemTableRule))
.databaseShardingStrategy(new DatabaseShardingStrategy("user_id", new ModuloDatabaseShardingAlgorithm()))
.tableShardingStrategy(new TableShardingStrategy("order_id", new ModuloTableShardingAlgorithm()))
.build();
```
其中,`ModuloDatabaseShardingAlgorithm` 和 `ModuloTableShardingAlgorithm` 分别为自定义的分库和分表算法。
4. 使用 ShardingDataSource 进行数据库操作:
```java
try (Connection conn = dataSource.getConnection();
PreparedStatement pstmt = conn.prepareStatement("INSERT INTO t_order (user_id, order_id) VALUES (?, ?)")) {
pstmt.setInt(1, 1);
pstmt.setInt(2, 1001);
pstmt.executeUpdate();
}
```
以上就是基于 Java API 的 Sharding-JDBC 配置示例。
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