Flink CDC 1.12版本引入了对SQL Server的支持

Flink CDC 1.12版本引入了对SQL Server的支持，包括SqlServerCatalog和SqlServerTable。在SqlServerCatalog中，你可以根据表名获取对应的字段和字段类型。

要使用Flink CDC 1.12版本的SqlServerCatalog，你需要添加以下依赖到你的项目中：

<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-connector-debezium_2.11</artifactId>
  <version>1.12.0</version>
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-connector-jdbc_2.11</artifactId>
  <version>1.12.0</version>
</dependency>

然后，你可以创建一个SqlServerCatalog实例，并使用它来获取表的字段和字段类型：

import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.catalog.Catalog;
import org.apache.flink.table.catalog.hive.HiveCatalog;
import org.apache.flink.table.catalog.jdbc.JdbcCatalog;
import org.apache.flink.table.catalog.mysql.MySqlCatalog;
import org.apache.flink.table.catalog.postgres.PostgresCatalog;
import org.apache.flink.table.catalog.sqlite.SqliteCatalog;
import org.apache.flink.table.catalog.sqlserver.SqlServerCatalog;
import org.apache.flink.table.descriptors.*;
import org.apache.flink.types.Row;

public class Main {
   
    public static void main(String[] args) {
   
        env = StreamExecutionEnvironment.getExecutionEnvironment();
        EnvironmentSettings settings = EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
        env.setExecutionEnvironment(settings);
        // ...其他配置...

        // 创建SqlServerCatalog实例
        String name = "mySqlServer";
        String defaultDatabase = "your_database";
        String username = "your_username";
        String password = "your_password";
        String baseUrl = "jdbc:sqlserver://your_host:your_port;databaseName=" + defaultDatabase;
        SqlServerCatalog sqlServerCatalog = new SqlServerCatalog(name, defaultDatabase, username, password, baseUrl);
        env.registerCatalog("mySqlServer", sqlServerCatalog);
        env.useCatalog("mySqlServer");

        // 根据表名获取表的字段和字段类型
        String tableName = "your_table_name";
        try {
   
            TableDescriptor tableDescriptor = sqlServerCatalog.getTable(tableName);
            List<ColumnDescriptor> columns = tableDescriptor.getColumns();
            for (ColumnDescriptor column : columns) {
   
                System.out.println("Column Name: " + column.getName());
                System.out.println("Column Type: " + column.getType().toString());
            }
        } catch (Exception e) {
   
            e.printStackTrace();
        }
    }
}

请将上述代码中的your_database、your_username、your_password、your_host、your_port和your_table_name替换为实际的值。