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Extensions / Functions and aggregates

loglog_counter

Aggregation functions and data type for distinct estimation based on LogLog.

pgext.cloud · Source code · Documentation · License text · Control file · PGXN

Overview

Packagedistinct_estimators
Version1.2.4
PostgreSQL versions10 · 11 · 12 · 13 · 14 · 15 · 16 · 17 · 18
RepositoryUnspecified
Extension typeStandard
Project statusArchived
Requires CREATE EXTENSIONYes
Requires preloadNo
TrustedNo
RelocatableYes
Stars18
Latest commit2019-11-03
Latest release2015-08-29
Catalogue updated2026-08-30

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See also

pghllProvides HyperLogLog decode, cardinality, merge, and aggregate functions compatible with Java stream-lib counters.
argmargmax, argmin, and anyold aggregate functions
pg_probProbabilistic data types for PostgreSQL - Monte Carlo simulation in SQL
kissfftFast-Fourier transformer (fft)
binvecC helper for summing integer bit values into arrays
pg_etagFast ETag generation for rows and result sets using BLAKE2 hashes, with single-input functions and aggregates.
medianMedian aggregate function for input sets
graph_componentCompute graph components
frkn_avgC aggregate extension providing my_avg for bigint and floating-point inputs.
pg_running_statsMergeable Running Statistics (Welford/Chan) Extension for PostgreSQL

Same project

adaptive_counterAggregation functions and data type for distinct estimation based on adaptive sampling.
bitmap_counterAggregation functions and data type for distinct estimation based on s-bitmap.
hyperloglog_counterAggregation functions and data type for distinct estimation based on HyperLogLog.
pcsa_counterAggregation functions and data type for distinct estimation based on PCSA.
probabilistic_counterA C data type and aggregates for approximate distinct counting using the Flajolet-Martin probabilistic counting algorithm.
superloglog_counterC data type, functions, and aggregates for approximate distinct counting with the SuperLogLog algorithm.