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Added META.json for all four estimators (each one is a separate exten…
…sion).
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "name": "adaptive_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 Wegman's adaptive sampling (see the paper 'On Adaptive Sampling' by P. Flajolet, published in 1990).", | ||
| "version": "1.0.0", | ||
| "maintainer": "Tomas Vondra <tv@fuzzy.cz>", | ||
| "license": "gpl_3", | ||
| "prereqs": { | ||
| "runtime": { | ||
| "requires": { | ||
| "PostgreSQL": "9.0.0" | ||
| } | ||
| } | ||
| }, | ||
| "provides": { | ||
| "adaptive_estimator": { | ||
| "file": "adaptive_counter--1.0.sql", | ||
| "version": "1.0.0" | ||
| } | ||
| }, | ||
| "resources": { | ||
| "repository": { | ||
| "url": "https://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", "wegman", "adaptive", "sampling"], | ||
| "meta-spec": { | ||
| "version": "1.0.0", | ||
| "url": "http://pgxn.org/meta/spec.txt" | ||
| }, | ||
| "release_status" : "testing" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| { | ||
| "name": "bitmap_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 self-learning bitmap (see the paper 'Distinct Counting with a Self-Learning Bitmap' by Aiyou Chen and Jin Cao, published in 2009).", | ||
| "version": "1.0.0", | ||
| "maintainer": "Tomas Vondra <tv@fuzzy.cz>", | ||
| "license": "gpl_3", | ||
| "prereqs": { | ||
| "runtime": { | ||
| "requires": { | ||
| "PostgreSQL": "9.0.0" | ||
| } | ||
| } | ||
| }, | ||
| "provides": { | ||
| "pcsa_estimator": { | ||
| "file": "bitmap_estimator--1.0.sql", | ||
| "version": "1.0.0" | ||
| } | ||
| }, | ||
| "resources": { | ||
| "repository": { | ||
| "url": "https://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", "bitmap", "self-learning"], | ||
| "meta-spec": { | ||
| "version": "1.0.0", | ||
| "url": "http://pgxn.org/meta/spec.txt" | ||
| }, | ||
| "release_status" : "testing" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| { | ||
| "name": "pcsa_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 PCSA method, an enhancement of the probabilistic counting (see the paper 'Probalistic Counting Algorithms for Data Base Applications' by Flajolet and Martin, published in 1985).", | ||
| "version": "1.0.0", | ||
| "maintainer": "Tomas Vondra <tv@fuzzy.cz>", | ||
| "license": "gpl_3", | ||
| "prereqs": { | ||
| "runtime": { | ||
| "requires": { | ||
| "PostgreSQL": "9.0.0" | ||
| } | ||
| } | ||
| }, | ||
| "provides": { | ||
| "pcsa_estimator": { | ||
| "file": "pcsa_estimator--1.0.sql", | ||
| "version": "1.0.0" | ||
| } | ||
| }, | ||
| "resources": { | ||
| "repository": { | ||
| "url": "https://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", "pcsa", "sampling"], | ||
| "meta-spec": { | ||
| "version": "1.0.0", | ||
| "url": "http://pgxn.org/meta/spec.txt" | ||
| }, | ||
| "release_status" : "testing" | ||
| } |
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| @@ -0,0 +1,35 @@ | ||
| { | ||
| "name": "probabilistic_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 probabilistic counting (see the paper 'Probalistic Counting Algorithms for Data Base Applications' by Flajolet and Martin, published in 1985).", | ||
| "version": "1.0.0", | ||
| "maintainer": "Tomas Vondra <tv@fuzzy.cz>", | ||
| "license": "gpl_3", | ||
| "prereqs": { | ||
| "runtime": { | ||
| "requires": { | ||
| "PostgreSQL": "9.0.0" | ||
| } | ||
| } | ||
| }, | ||
| "provides": { | ||
| "probabilistic_estimator": { | ||
| "file": "probabilistic_counter--1.0.sql", | ||
| "version": "1.0.0" | ||
| } | ||
| }, | ||
| "resources": { | ||
| "repository": { | ||
| "url": "https://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"], | ||
| "meta-spec": { | ||
| "version": "1.0.0", | ||
| "url": "http://pgxn.org/meta/spec.txt" | ||
| }, | ||
| "release_status" : "testing" | ||
| } |