Bloomfilters intentionally can have false positives but no false negatives. They’re great for searching over very large datasets as a quick and cheap way to drop lots of data from more expensive search operations.
We use a deterministic checksum for this so you know what you’re getting without ambiguity.
Bloomfilters intentionally can have false positives but no false negatives. They’re great for searching over very large datasets as a quick and cheap way to drop lots of data from more expensive search operations.
We use a deterministic checksum for this so you know what you’re getting without ambiguity.