Thank you, it is fixed in the new version.
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Thank you very much.
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Yes, you are right. I add log to record the time of seek and find that
sometimes it is very slow. Then I use the rocksdb's files to test locally
and the same problem appears. It is very weird to find that rocksdb's seek
iterate data one by one. Until now, I add cache for rocksdb. The time is
faster
This is not my case. Thank you.
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Thank you very much. I have something to say. Each data is 20KB. The
parallelism is 500 and each taskmanager memory is 10G. The memory is enough,
and I think the parallelism is big enough. Only the intervalJoin thread is
beyond 100% because of rockdb's seek. I am confused that why rockdb's seek
tak
I am using IntervalJoin function to join two streams within 10 minutes. As
below:
labelStream.intervalJoin(adLogStream)
.between(Time.milliseconds(0), Time.milliseconds(60))
.process(new processFunction())
.sink(kafkaProducer)
labelStream and adLogStream are pr