@Rayn It's frequently observed in our production environment that different partition's consumption rate vary for kinds of reasons, including performance difference of machines holding the partitions, unevenly distribution of messages and so on. So I hope there can be some advice on how to design a per-kafka-partition watermark in SS.
Ryan <ryan.hd....@gmail.com>于2017年9月2日周六 上午10:36写道： > I don't think ss now support "partitioned" watermark. and why different > partition's consumption rate vary? If the handling logic is quite > different, using different topic is a better way. > > On Fri, Sep 1, 2017 at 4:59 PM, 张万新 <kevinzwx1...@gmail.com> wrote: > >> Thanks, it's true that looser watermark can guarantee more data not be >> dropped, but at the same time more state need to be kept. I just consider >> if there is sth like kafka-partition-aware watermark in flink in SS may be >> a better solution. >> >> Tathagata Das <tathagata.das1...@gmail.com>于2017年8月31日周四 上午9:13写道： >> >>> Why not set the watermark to be looser, one that works across all >>> partitions? The main usage of watermark is to drop state. If you loosen the >>> watermark threshold (e.g. from 1 hour to 10 hours), then you will keep more >>> state with older data, but you are guaranteed that you will not drop >>> important data. >>> >>> On Wed, Aug 30, 2017 at 7:41 AM, KevinZwx <kevinzwx1...@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> I'm working with Structured Streaming to process logs from kafka and use >>>> watermark to handle late events. Currently the watermark is computed by >>>> (max >>>> event time seen by the engine - late threshold), and the same watermark >>>> is >>>> used for all partitions. >>>> >>>> But in production environment it happens frequently that different >>>> partition >>>> is consumed at different speed, the consumption of some partitions may >>>> be >>>> left behind, so the newest event time in these partitions may be much >>>> smaller than than the others'. In this case using the same watermark >>>> for all >>>> partitions may cause heavy data loss. >>>> >>>> So is there any way to achieve different watermark for different kafka >>>> partition or any plan to work on this? >>>> >>>> >>>> >>>> -- >>>> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ >>>> >>>> --------------------------------------------------------------------- >>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >>>> >>>> >>> >
