Flink批处理读写Hive

import org.apache.flink.table.api.*;
import org.apache.flink.table.catalog.hive.HiveCatalog;

/**
 * @Auther WeiJiQian
 * @描述
 */
public class FlinkReadHiveAndWriteHive {

    public static void main(String[] args) throws Exception {

        EnvironmentSettings settings = EnvironmentSettings
                .newInstance()
                .useBlinkPlanner()
                .inBatchMode()
                .build();

        TableEnvironment tableEnv = TableEnvironment.create(settings);
        String name = "myhive";      // Catalog名称，定义一个唯一的名称表示
        String defaultDatabase = "test";  // 默认数据库名称
        String hiveConfDir = "/data/apache-hive-2.3.6-bin/conf";  // hive-site.xml路径
        String version = "2.3.6";       // Hive版本号

        HiveCatalog hive = new HiveCatalog(name, defaultDatabase, hiveConfDir, version);
        StatementSet statementSet = tableEnv.createStatementSet();

        tableEnv.registerCatalog(name, hive);
        tableEnv.useCatalog(name);
		// 把stu77 的数据写入stu88 里面,中间可以加自己的逻辑.
        Table sqlResult = tableEnv.sqlQuery("select name,age from test.stu77");
        statementSet.addInsert("test.stu88",sqlResult);
        statementSet.execute();
    }
}