spring boot 实现分库分表 (yml 方式)

spring boot 实现分库分表 (yml 方式)

数据源分片策略使用单独 yml 文件配置，通过 Java config 方式定义数据源，这种方式比较推荐

源码地址:https://github.com/zousiliang/fast/tree/tag5.0

添加数据：

http://localhost/curPrice/add?createdBy=1&luck=1

查看数据

http://localhost/curPrice/all

创建两个数据库 并同时创建两个表

pom.xml:

<dependency>
	<groupId>io.shardingjdbc</groupId>
	<artifactId>sharding-jdbc-core</artifactId>
	<version>2.0.3</version>
</dependency>

DataSourceConfig 文件：

@Configuration
public class DataSourceConfig {
	
	@Autowired
	private Filter statFilter;

	private static final String SHARDING_YML_PATH = "dataSource.yml";
	
	/**
	 * 构建dataSource
	 * 这里没有使用ShardingDataSourceFactory 
	 * 因为要为durid数据源配置监听Filter
	 * @return
	 * @throws SQLException
	 * @throws IOException
	 */
	@Bean
	public DataSource dataSource() throws SQLException, IOException {
	    YamlShardingConfiguration config = parse();
        ShardingRule rule = config.getShardingRule(Collections.<String, DataSource>emptyMap());
	    rule.getDataSourceMap().forEach((k,v)->{
		    DruidDataSource d = (DruidDataSource) v;
		    d.setProxyFilters(Lists.newArrayList(statFilter));
	    });
        return new ShardingDataSource(rule, config.getShardingRule().getConfigMap(), config.getShardingRule().getProps());
	}
    
	/**
	 * 解析yml
	 * @return
	 * @throws IOException
	 * @throws FileNotFoundException
	 * @throws UnsupportedEncodingException
	 */
	private YamlShardingConfiguration parse() throws IOException, FileNotFoundException, UnsupportedEncodingException {
		Resource certResource = new ClassPathResource(SHARDING_YML_PATH);
	    try (
	       InputStreamReader inputStreamReader = new InputStreamReader(certResource.getInputStream(), "UTF-8")
	    ) {
		   return new Yaml(new Constructor(YamlShardingConfiguration.class)).loadAs(inputStreamReader, YamlShardingConfiguration.class);  
	    }
	}
}