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。
