Dev iconDevSep 28, 2026 ~1 min source read

Hyper-efficient Cardinality Estimation: Redis HyperLogLog in Production with wredis

Redis HyperLogLog (HLL) uses a probabilistic counting algorithm that bounds memory consumption to a constant ~12 KB per key, maintaining a standard error of less than 0.81%.

Hyper-efficient Cardinality Estimation: Redis HyperLogLog in Production with wredis

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Redis HyperLogLog (HLL) uses a probabilistic counting algorithm that bounds memory consumption to a constant ~12 KB per key, maintaining a standard error of less than 0.81%.

A Redis Set storing 100 million UUIDs requires several gigabytes of RAM.

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The useful part

Redis HyperLogLog (HLL) uses a probabilistic counting algorithm that bounds memory consumption to a constant ~12 KB per key, maintaining a standard error of less than 0.81%. A Redis Set storing 100 million UUIDs requires several gigabytes of RAM.

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A Redis Set storing 100 million UUIDs requires several gigabytes of RAM.

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