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Posted to dev@pinot.apache.org by Pinot Slack Email Digest <sn...@apache.org> on 2021/06/06 02:00:22 UTC
Apache Pinot Daily Email Digest (2021-06-05)
### _#general_
**@pankaj:** Hey guys, would there be a support for something like a tile in
pinot apart from segmenting. I was looking at amazon timestream and it seems
this will be a useful feature to have. In general is there a comparison of
pinot against timestream.
**@g.kishore:** I dont see any difference between pinot segment and tile,
**@g.kishore:** we have partitioning on time as well as any other dimension
**@pankaj:** Can I do it on both? I guess my impression from the article I
posted is that it allows that
**@g.kishore:** yes
**@g.kishore:** this was supported in pinot since a long time
**@pankaj:** say I have lots of data coming; today I have to control kafka
partitions and I am limited by the number of realtime servers I have put on
how fast I can process and serve the data and this is limited now
**@g.kishore:** thats a completely different problem right.. max number of
consumers for kafka cannot go beyond the number of partitions
**@g.kishore:** violating that will result in out of order processing
**@g.kishore:** what you are looking for is supported in kinesis
**@pankaj:** yeah I am trying to figure out if tile is a giving a higher
abstraction or not over segment
**@g.kishore:** and Pinot's Kinesis connector will probably be the right
thing for your case
**@g.kishore:** because kinesis increases and decreases the number of
partitions based on load
**@g.kishore:** and Pinot adapts accordingly
**@pankaj:** so pinot handles the assignments across realtime servers for
these partitions? and splitting it into number of segments?
**@pankaj:** is there some doc for this?
**@pankaj:** or you guys are still working on this one?
**@g.kishore:** yes.. this is already there
**@g.kishore:** This video from @npawar might be a good start
**@pankaj:** cool! will look this up. Thanks.
**@g.kishore:** this is another one -
**@pankaj:** Thanks for the links @g.kishore; @npawar awesome job on the
segment lifecycle videos!
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