{
   "name": "hyperloglog_estimator",
   "abstract": "Estimates number of distinct elements in a data set (aggregate and a data type).",
   "description": "Provides an alternative to COUNT(DISTINCT) aggregate, computing an estimate of number of distinct values, and a data type that may be used within a table (and updated continuously). This implementation is based on HyperLogLog algorithm, an enhancement of LogLog (see the paper 'HyperLogLog: the analysis of near-optimal cardinality estimation algorithm' by Flajolet, Fusy, Gandouet and Meunier, published in 2007).",
   "version": "1.2.6",
   "maintainer": "Tomas Vondra <tv@fuzzy.cz>",
   "license": "bsd",
   "prereqs": {
      "runtime": {
         "requires": {
            "PostgreSQL": "9.0.0"
         }
      }
   },
   "provides": {
     "hyperloglog_counter": {
       "file": "sql/hyperloglog_counter--1.2.6.sql",
       "docfile" : "README.md",
       "version": "1.2.6"
     }
   },
   "resources": {
      "repository": {
        "url":  "https://tvondra@github.com/tvondra/distinct_estimators.git",
        "web":  "http://github.com/tvondra/distinct_estimators",
        "type": "git"
      },
      "x_blog": "http://www.fuzzy.cz/en/articles/aggregate-functions-for-distinct-estimation/"
   },
   "tags" : ["distinct", "count", "aggregate", "estimate", "hyperloglog"],
   "meta-spec": {
      "version": "1.0.0",
      "url": "http://pgxn.org/meta/spec.txt"
   },
   "release_status" : "testing"
}