Github user cloud-fan commented on the issue:
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thanks, merging to master/2.3!
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Github user vanzin commented on the issue:
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> the memory usage will be much larger with InMemoryStore.
No it won't. The in-memory store does not use extra memory for indices. It
sorts the data when the index is read, and discards that
Github user gengliangwang commented on the issue:
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The major concern is that with these code changes, the memory usage will
be much larger with `InMemoryStore`.
Also building so many new indexes just for getting `computedQuantiles`,
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Github user sameeragarwal commented on the issue:
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@vanzin Thanks for the great work! Given this is a sizable change, I'll
like get this in before cutting RC1.
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Github user vanzin commented on the issue:
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> I suggest running more tests(real workloads)
I've tested all of these PRs attached to SPARK-18085 with lots of real and
synthetic app logs.
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Github user gengliangwang commented on the issue:
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Tried run with event logs of TPCDS benchmark(scale 1) on my local setup,
the UI works.
The leveldb size is about 50% larger.
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Github user gengliangwang commented on the issue:
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The code looks good. But it is a lot of changes in SHS, I suggest running
more tests(real workloads) before merge.
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Github user squito commented on the issue:
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lgtm
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Github user vanzin commented on the issue:
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> I wonder which changes double the disk usage?
It's the new indices, more explicitly the values, not the keys. I tried
changing the disk layout to write all the indices in a new namespace
Github user gengliangwang commented on the issue:
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@vanzin I haven't run the code. I wonder which changes double the disk
usage? The new indices or the cached quantiles?
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Github user ajbozarth commented on the issue:
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I did a read through, I didn't see any issues from a code standpoint but I
haven't spent much time in your new code so another pair of eyes would be good.
I also didn't check out and run the code
Github user ajbozarth commented on the issue:
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I'll take a look at this either today or tomorrow
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@squito
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Github user vanzin commented on the issue:
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I did some non-scientific test locally and this change causes the disk
store for an app to grow to about double its previous size; while not great,
given how much new data is being written, that's
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Github user vanzin commented on the issue:
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Some previous comments for this PR can be found at:
https://github.com/vanzin/spark/pull/41
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