[erlang-questions] ETS memory fragmentation after deleting data
Led
ledest@REDACTED
Mon Feb 18 14:41:59 CET 2019
Use binary:copy/1 to fill ets tables with fragments of binary stream.
чт, 7 лют. 2019 о 16:36 Dániel Szoboszlay <dszoboszlay@REDACTED> пише:
> Hi,
>
> I would like to understand some things about ETS memory fragmentation
> after deleting data. My current (probably faulty) mental model of the issue
> looks like this:
>
> - For every object in an ETS table a block is allocated on a carrier
> (typically a multi-block carrier, unless the object is huge).
> - Besides the objects themselves, the ETS table obviously needs some
> additional blocks too to describe the hash table data structure. The size
> of this data shall be small compared to the object data however (since ETS
> is not terribly space-inefficient), so I won't think about them any more.
> - If I delete some objects from an ETS table, the corresponding blocks
> are deallocated. However, the rest of the objects remain in their original
> location, so the carriers cannot be deallocated (unless all of their
> objects get deleted).
> - This implies that deleting a lot of data from ETS tables would lead
> to memory fragmentation.
> - Since there's no way to force ETS to rearrange the objects it
> already stores, the memory remains fragmented until subsequent updates to
> ETS tables fill the gaps with new objects.
>
> I wrote a small test program (available here
> <https://gist.github.com/dszoboszlay/921b26a57463ec1f5df1816a840a78aa>)
> to verify my mental model. But it doesn't exactly behave as I expected.
>
> 1. I create an ETS table and populate it with 1M objects, where each
> object is 1027 words large.
>
> I expect the total ETS memory use to be around 1M * 1027 * 8 bytes ~
> 7835 MiB (the size of all other ETS tables on a newly started Erlang node
> is negligible).
>
> And indeed I see that the total block size is ~7881 MiB and the total
> carrier size is ~7885 MiB (99.95% utilisation).
> 2. I delete 75% of the objects randomly.
>
> I expect the block size to go down by ~75% and the carrier size with
> some smaller value.
>
> In practice however the block size goes down by 87%, while the carrier
> size drops by 48% (resulting in a disappointing 25% utilisation).
> 3. Finally, I try to defragment the memory by overwriting each object
> that was left in the table with itself.
>
> I expect this operation to have no effect on the block size, but close
> the gap between the block size and carrier size by compacting the blocks on
> fewer carriers.
>
> In practice however the block size goes up by 91%(!!!), while the
> carrier size comes down very close to this new block size (utilisation is
> back at 99.56%). All in all, compared to the initial state in step 1, both
> block and carrier size is down by 75%.
>
> So here's the list of things I don't understand or know based on this
> exercise:
>
> - How could the block size drop by 87% after deleting 75% of the data
> in step 2?
> - Why did overwriting each object with itself resulted in almost
> doubling the block size?
> - Would you consider running a select_replace to compact a table after
> deletions safe in production? E.g. doing it on a Mnesia table that's
> several GB-s in size and is actively used by Mnesia transactions. (I know
> the replace is atomic on each object, but how would a long running replace
> affect the execution time of other operations for example?)
> - Step 3 helped to reclaim unused memory, but it almost doubled the
> used memory (the block size). I don't know what caused this behaviour, but
> is there an operation that would achieve the opposite effect? That is,
> without altering the contents of the table reduce the block size by 45-50%?
>
> Thanks,
> Daniel
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--
Led.
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