flink sql fromDataSet fromDataStream 使用row

public static void main(String[] args) throws Exception {
    StreamExecutionEnvironment environment = StreamExecutionEnvironment.getExecutionEnvironment();
    environment.getConfig().disableSysoutLogging();
    StreamTableEnvironment tableEnvironment = TableEnvironment.getTableEnvironment(environment);
    DataStream<String> dataStream = environment.addSource(new SourceFunction<String>() {
        private String str1 = "{\"name\":\"name-value\",\"age\":\"28\",\"sex\":\"1\"}";
        private long count = 0L;
        private volatile boolean isRunning = true;
        @Override
        public void run(SourceContext<String> ctx) throws Exception {
            while (isRunning && count<2){
                synchronized (ctx.getCheckpointLock()){
                    ctx.collect(str1);
                    count++;
                }
            }
        }
        @Override
        public void cancel() {
            isRunning = false;
        }
    });
    DataStream<JsonNode> dataStreamJson = dataStream.map(new MapFunction<String, JsonNode>() {
        @Override
        public JsonNode map(String s) throws Exception {
            ObjectMapper objectMapper = new ObjectMapper();
            JsonNode node = objectMapper.readTree(s);
            return node;
        }
    });
    DataStream<Row> dataStreamRow = dataStreamJson.map(new MapFunction<JsonNode, Row>() {
        @Override
        public Row map(JsonNode jsonNode) throws Exception {
            int pos = 0;
            Row row = new Row(jsonNode.size());
            Iterator<String> iterator = jsonNode.fieldNames();
            while (iterator.hasNext()){
                String key = iterator.next();
                row.setField(pos,jsonNode.get(key).asText());
                pos++;
            }

            return row;
        }


    });

    dataStreamRow.addSink(new SinkFunction<Row>() {
        @Override
        public void invoke(Row value) throws Exception {
            System.out.println(value.getField(0));
        }
    });

    Table myTable = tableEnvironment.fromDataStream(dataStreamRow);

    Table result = myTable.select("f0");

    DataStream<String> dataStreamResult = tableEnvironment.toAppendStream(result,String.class);

    dataStreamResult.print();

    environment.execute();
}

DataStream<Row> dataStreamRow = dataStreamJson.map(new MapFunction<JsonNode, Row>() {
        ...
    }).returns(new RowTypeInfo(Types.STRING, Types.STRING, ...)); // Add as many fields as your Row has