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{ | ||
"name": "datasketches", | ||
"abstract": "approximate algorithms for big data analysis", | ||
"version": "1.6.0-SNAPSHOT", | ||
"version": "1.6.0", | ||
"maintainer": [ | ||
"Apache DataSketches Dev List <[email protected]>", | ||
"Apache DataSketches Users List <[email protected]>" | ||
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@@ -11,47 +11,47 @@ | |
"cpc_sketch": { | ||
"abstract": "CPC sketch for approximate distinct counting", | ||
"file": "sql/datasketches_cpc_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"theta_sketch": { | ||
"abstract": "Theta sketch for approximate distinct counting with set operations", | ||
"file": "sql/datasketches_theta_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"aod_sketch": { | ||
"abstract": "Specialized Tuple sketch with an array of double values associated with each key", | ||
"file": "sql/datasketches_aod_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"hll_sketch": { | ||
"abstract": "HLL sketch for approximate distinct counting", | ||
"file": "sql/datasketches_hll_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"kll_float_sketch": { | ||
"abstract": "KLL quantiles sketch for approximating distributions of float values (quanitles, ranks, histograms)", | ||
"file": "sql/datasketches_kll_float_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"kll_double_sketch": { | ||
"abstract": "KLL quantiles sketch for approximating distributions of double values (quanitles, ranks, histograms)", | ||
"file": "sql/datasketches_kll_double_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"req_float_sketch": { | ||
"abstract": "REQ (Relative Error Quantiles) sketch for approximating distributions of float values (quanitles, ranks, histograms)", | ||
"file": "sql/datasketches_req_float_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"frequent_strings_sketch": { | ||
"abstract": "frequent items sketch for approximate computation of the most frequent strings", | ||
"file": "sql/datasketches_frequent_strings_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
}, | ||
"quantiles_double_sketch": { | ||
"abstract": "Quantiles sketch for approximating distributions of double values (quanitles, ranks, histograms), superseded by KLL sketch, included to support legacy sketch data from other platforms", | ||
"file": "sql/datasketches_quantiles_double_sketch.sql", | ||
"version": "1.6.0-SNAPSHOT" | ||
"version": "1.6.0" | ||
} | ||
}, | ||
"resources": { | ||
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# DataSketches extension | ||
comment = 'Aggregation functions and data types for approximate algorithms' | ||
default_version = '1.6.0-SNAPSHOT' | ||
default_version = '1.6.0' | ||
relocatable = true | ||
module_pathname = '$libdir/datasketches' |