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1 | 1 | { |
2 | 2 | "name": "datasketches", |
3 | 3 | "abstract": "approximate algorithms for big data analysis", |
4 | | - "version": "1.6.0-SNAPSHOT", |
| 4 | + "version": "1.6.0", |
5 | 5 | "maintainer": [ |
6 | 6 | "Apache DataSketches Dev List <dev@datasketches.apache.org>", |
7 | 7 | "Apache DataSketches Users List <users@datasketches.apache.org>" |
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11 | 11 | "cpc_sketch": { |
12 | 12 | "abstract": "CPC sketch for approximate distinct counting", |
13 | 13 | "file": "sql/datasketches_cpc_sketch.sql", |
14 | | - "version": "1.6.0-SNAPSHOT" |
| 14 | + "version": "1.6.0" |
15 | 15 | }, |
16 | 16 | "theta_sketch": { |
17 | 17 | "abstract": "Theta sketch for approximate distinct counting with set operations", |
18 | 18 | "file": "sql/datasketches_theta_sketch.sql", |
19 | | - "version": "1.6.0-SNAPSHOT" |
| 19 | + "version": "1.6.0" |
20 | 20 | }, |
21 | 21 | "aod_sketch": { |
22 | 22 | "abstract": "Specialized Tuple sketch with an array of double values associated with each key", |
23 | 23 | "file": "sql/datasketches_aod_sketch.sql", |
24 | | - "version": "1.6.0-SNAPSHOT" |
| 24 | + "version": "1.6.0" |
25 | 25 | }, |
26 | 26 | "hll_sketch": { |
27 | 27 | "abstract": "HLL sketch for approximate distinct counting", |
28 | 28 | "file": "sql/datasketches_hll_sketch.sql", |
29 | | - "version": "1.6.0-SNAPSHOT" |
| 29 | + "version": "1.6.0" |
30 | 30 | }, |
31 | 31 | "kll_float_sketch": { |
32 | 32 | "abstract": "KLL quantiles sketch for approximating distributions of float values (quanitles, ranks, histograms)", |
33 | 33 | "file": "sql/datasketches_kll_float_sketch.sql", |
34 | | - "version": "1.6.0-SNAPSHOT" |
| 34 | + "version": "1.6.0" |
35 | 35 | }, |
36 | 36 | "kll_double_sketch": { |
37 | 37 | "abstract": "KLL quantiles sketch for approximating distributions of double values (quanitles, ranks, histograms)", |
38 | 38 | "file": "sql/datasketches_kll_double_sketch.sql", |
39 | | - "version": "1.6.0-SNAPSHOT" |
| 39 | + "version": "1.6.0" |
40 | 40 | }, |
41 | 41 | "req_float_sketch": { |
42 | 42 | "abstract": "REQ (Relative Error Quantiles) sketch for approximating distributions of float values (quanitles, ranks, histograms)", |
43 | 43 | "file": "sql/datasketches_req_float_sketch.sql", |
44 | | - "version": "1.6.0-SNAPSHOT" |
| 44 | + "version": "1.6.0" |
45 | 45 | }, |
46 | 46 | "frequent_strings_sketch": { |
47 | 47 | "abstract": "frequent items sketch for approximate computation of the most frequent strings", |
48 | 48 | "file": "sql/datasketches_frequent_strings_sketch.sql", |
49 | | - "version": "1.6.0-SNAPSHOT" |
| 49 | + "version": "1.6.0" |
50 | 50 | }, |
51 | 51 | "quantiles_double_sketch": { |
52 | 52 | "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", |
53 | 53 | "file": "sql/datasketches_quantiles_double_sketch.sql", |
54 | | - "version": "1.6.0-SNAPSHOT" |
| 54 | + "version": "1.6.0" |
55 | 55 | } |
56 | 56 | }, |
57 | 57 | "resources": { |
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