Comments (4)
Flink seems to have:
DataStream<T>
KeyedStream<T, K> extends DataStream<T>
AllWindowedStream<T, W extends Window>
WindowedStream<T, K, W extends Window>
BroadcastStream<T>
CoGroupedStreams<T1, T2>
ConnectedStreams<IN1, IN2>
IterativeStream<T>
JoinedStreams<T1, T2>
PatternStream<T>
QueryableStateStream<K, V>
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It looks nice, I think a benefit with this is that you can have multiple key extractors for the same event type. Is the type of the stream produced by iterator
also a keyed stream or something else?
from arcon.
It looks nice, I think a benefit with this is that you can have multiple key extractors for the same event type. Is the type of the stream produced by
iterator
it also a keyed stream?
I take it would just be a Stream. iterator() -> Stream -> key_by(..) -> KeyedStream
We just have Stream
right now, I guess we have to introduce more stream types such as in Flink Stream
/ KeyedStream
/ WindowStream
?
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One possible way of defining key_by
. Use Builder notion as in other parts of the API and require an extractor + description of how the stream is keyed.
let mut app = Application::with_conf(conf)
.iterator((0..1000000).map(|x| Event { id: x, data: 1.5 }), |conf| {
conf.set_timestamp_extractor(|x: &Event| x.id);
}) // Stream<Event>
.key_by(KeyBuilder {
extractor: Arc::new(|event| event.id),
description: "User Name ID",
}) // KeyedStream<Event>
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Related Issues (20)
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