Patzifist commented on PR #864:
URL: https://github.com/apache/arrow-go/pull/864#issuecomment-4848200385
Hi Zeroshade,
Currently, the upstream implementation of Parquet Bloom Filter reader eats
up all available RAM on the server just for Bloom Filter metadata, leading to
OOM panics under extreme concurrency.
I've designed a patch that solves this issue by bringing memory allocations
down to a strictly bound steady-state, allowing us to safely repurpose that RAM
for processing actual data page allocations and Row Group data instead.
Benchmark Results (64 Workers, 100 Iterations, Random NDV Sizes):
To validate the patch, I've written a concurrent benchmark mimicking varying
filter sizes and heavy thread interleaving:
BenchmarkGetColumnBloomFilter_OriginalSyncPool-12 1 1176984718 ns/op
6280746824 B/op 233435 allocs/op
BenchmarkGetColumnBloomFilter_ChannelsPatch-12 1 1461299865 ns/op
705041384 B/op 209192 allocs/op
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