flink的常见的任务提交方式

1、以flinksql的方式直接提交任务

此方式使用起来相对比较简单，但是无法满足需要设置savepoint暂存点的流式任务需求。

使用此方式需要先创建Flink远方的执行环境，然后按序执行FlinkSql，流程如下：

java示例如下：

package com.xw.flink;

import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.TableEnvironment;

public class testSqlServer {
    public static void main(String[] args) throws Exception {
        ExecutionEnvironment env = ExecutionEnvironment.createRemoteEnvironment("192.168.1.88",18082);
        TableEnvironment tableEnv = TableEnvironment.create(env.getConfiguration());
        Configuration configuration = tableEnv.getConfig().getConfiguration();
        //任务名称设定
        configuration.setString("pipeline.name","sqlserver");
        String sourceDDL = "CREATE TABLE Orders (f1 STRING,f2 STRING,f3 STRING) WITH ( " +
                " 'connector' = 'jdbc',  " +
                " 'driver'='com.microsoft.sqlserver.jdbc.SQLServerDriver',  " +
                " 'url'='jdbc:sqlserver://192.168.1.40:1433;databaseName=test;useLOBs=false',  " +
                " 'table-name'='test_czd1',  " +
                " 'username'='root',  " +
                " 'password'='root&#