[SPARK-47547][SQL] Fix inaccurate false positive rates when N is large for Bloom Filter #46370
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…e for Bloom Filter ### What changes were proposed in this pull request? This PR introduces a new 128 bit hashing function based on Guava's solution. Bloom filter is now created based on hashing strategy, which is decided by the bit size of the Bloom Filter. ### Why are the changes needed? When the decided bit size by Bloom Filter is greater than Integer.MAX_VALUE, 32 bit hashing function wastes the bits which index is greater than Integer.MAX_VALUE. ### Does this PR introduce _any_ user-facing change? No, hashing function is decided by BloomFilter. ### How was this patch tested? Added UT for new hashing function. Manually tested the BloomFilter with N is near 500 million. ### Was this patch authored or co-authored using generative AI tooling? No.
batubond007
changed the title
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Hi @dongjoon-hyun , can you please review this pr which is also my first one? |
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Gentle ping @dongjoon-hyun |
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We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable. |
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What changes were proposed in this pull request?
This PR introduces a new 128 bit hashing function based on Guava's solution. Bloom filter is now created based on hashing strategy, which is decided by the bit size of the Bloom Filter.
Why are the changes needed?
When the decided bit size by Bloom Filter is greater than Integer.MAX_VALUE, 32 bit hashing function wastes the bits which index is greater than Integer.MAX_VALUE.
Does this PR introduce any user-facing change?
No, hashing function is decided by BloomFilter.
How was this patch tested?
Added UT for new hashing function. Manually tested the BloomFilter with N is near 500 million.
Was this patch authored or co-authored using generative AI tooling?
No.