我希望Spark流的输出在翻滚窗口的末尾发送到接收器，而不是以批处理间隔发送。
我从一个Kafka流中读取并输出到另一个Kafka流。
查询和写入输出的代码如下所示：

Dataset<Row> sqlResult = session.sql("select window, user, sum(amount) as amount from users where type = 'A' group by window(timestamp, '1 minute', '1 minute'), user");
sqlResult = sqlResult.select(to_json(struct("window", "user", "amount")).as("value"));

StreamingQuery query = sqlResult.writeStream()
    .format("kafka")
    .option("kafka.bootstrap.servers", "localhost:9092")
    .option("topic", "aggregated-topic")
    .option("checkpointLocation", "c:/tmp")
    .outputMode(OutputMode.Update())
    .start();

当我在1分钟的窗口内为一个特定用户发送多个记录时，我希望在1分钟结束时这些事件的总数。
但是我在输出kafka流上得到了多个输出，并向其中写入了间歇聚合。
如。
我将在一分钟内发送以下7条记录，但间隔一定时间。

>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}
>{ "id" : 123, "type": "A", "user": "tukaram", "amount": 10}

我得到的结果是：

{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":10.0}
{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":20.0}
{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":40.0}
{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":60.0}
{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":70.0}

可以看到，输出在同一个窗口中，但是有多个输出。
我想要的是一分钟结束时的单个输出

{"window":{"start":"2020-09-18T14:35:00.000+05:30","end":"2020-09-18T14:36:00.000+05:30"},"user":"tukaram","amount":70.0}

我怎样才能做到呢？