{
   "name": "superloglog_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 SuperLogLog method, an enhancement of the LogLog estimator (see the paper 'LogLog Counting of Large Cardinalities' by Durand and Martin, published in 2003).",
   "version": "1.2.3",
   "maintainer": "Tomas Vondra <tv@fuzzy.cz>",
   "license": "bsd",
   "prereqs": {
      "runtime": {
         "requires": {
            "PostgreSQL": "9.0.0"
         }
      }
   },
   "provides": {
     "superloglog_counter": {
       "file": "sql/superloglog_counter--1.2.3.sql",
       "docfile" : "README.md",
       "version": "1.2.3"
     }
   },
   "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", "superloglog"],
   "meta-spec": {
      "version": "1.0.0",
      "url": "http://pgxn.org/meta/spec.txt"
   },
   "release_status" : "testing"
}