Hi,
I am new to Flink. I have a question on this "rolling" fold function.
If its parallelism is large than one, does the "rolling" order remains the
same? i.e. it is always keep the "1-2-3-4-5" on an increasing sequence.
Regards,
Min
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FoldFunction
---------------------------------------------------------------------------------------------------------------
A "rolling" fold on a keyed data stream with an initial value. Combines the
current element with the last folded value and emits the new value.
A fold function that, when applied on the sequence (1,2,3,4,5), emits the
sequence "start-1", "start-1-2", "start-1-2-3", ...
DataStream<String> result =
keyedStream.fold("start", new FoldFunction<Integer, String>() {
@Override
public String fold(String current, Integer value) {
return current + "-" + value;
}
});
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
From: jincheng sun [mailto:sunjincheng...@gmail.com]
Sent: Freitag, 7. Dezember 2018 02:24
To: rakkukumar2...@gmail.com
Cc: user@flink.apache.org; d...@flink.apache.org
Subject: [External] Re: delay one of the datastream when performing join
operation on event-time and watermark
Hi Pakesh Kuma,
I think you can using the interval-join, e.g.:
orderStream
.keyBy(<KeySelector>)
.intervalJoin(invoiceStream.keyBy(<KeySelector>))
.between(Time.minutes(-5), Time.minutes(5))
The semantics of interval-join and detailed usage description can refer to
https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/stream/operators/joining.html#interval-join
Hope to help you, and any feedback is welcome!
Bests,
Jincheng
Rakesh Kumar <rakkukumar2...@gmail.com<mailto:rakkukumar2...@gmail.com>>
于2018年12月6日周四 下午7:10写道：
Hi,
I have two data sources one is for order data and another one is for invoice
data, these two data i am pushing into kafka topic in json form. I wanted to
delay order data for 5 mins because invoice data comes only after order data is
generated. So, for that i have written a flink program which will take these
two data from kafka and apply watermarks and delay order data for 5 mins. After
applying watermarks on these data, i wanted to join these data based on
order_id which is present in both order and invoice data. After Joining i
wanted to push it to kafka in different topic.
But, i am not able to join these data streams with 5 min delay and i am not
able to figure it out.
I am attaching my flink program below and it's dependency.
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