spring配置 apache hudi数据湖的数据源

Apache Hudi支持多种数据源，包括HDFS、S3、Azure Blob Storage等。在Spring配置中，我们可以使用Hudi提供的DataSourceUtils来配置数据源，示例代码如下：

@Configuration
public class HudiConfig {
    @Bean
    public DataSource dataSource() {
        Properties props = new Properties();
        props.setProperty("hoodie.datasource.write.keygenerator.class", "org.apache.hudi.keygen.NonpartitionedKeyGenerator");
        props.setProperty("hoodie.datasource.write.recordkey.field", "id");
        props.setProperty("hoodie.datasource.write.partitionpath.field", "partition");
        props.setProperty("hoodie.datasource.write.table.name", "test_table");
        props.setProperty("hoodie.datasource.write.operation", "upsert");
        props.setProperty("hoodie.datasource.write.precombine.field", "timestamp");
        props.setProperty("hoodie.datasource.write.storage.type", "HDFS");
        props.setProperty("hoodie.datasource.hive_sync.database", "test_db");
        props.setProperty("hoodie.datasource.hive_sync.table", "test_table");
        props.setProperty("hoodie.datasource.hive_sync.enable", "true");
        props.setProperty("hoodie.datasource.hive_sync.partition_fields", "partition");
        props.setProperty("hoodie.datasource.hive_sync.partition_extractor_class", "org.apache.hudi.hive.MultiPartKeysValueExtractor");

        return DataSourceUtils.buildHoodieDataSource(props);
    }
}

在上述代码中，我们配置了一个HDFS数据源，将数据写入到test_table表中，并同步到Hive中。具体配置信息可以参考Hudi官方文档进行调整