History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scabbiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
167 | 2024-06-01 03:18:01 | scabbiest | 1 | 81242 | 2 | 5.936 | 13686.3 |
166 | 2024-05-31 14:45:47 | scabbiest | 1 | 81242 | 2 | 3.796 | 21402.0 |
165 | 2024-05-30 22:38:37 | scabbiest | 1 | 81242 | 2 | 3.076 | 26411.6 |
164 | 2024-05-16 09:08:12 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
163 | 2024-05-14 12:18:57 | scabbiest | 1 | 81242 | 2 | 1.470 | 55266.7 |
162 | 2024-05-06 16:28:14 | scabbiest | 3 | 148641 | 115 | 6.453 | 23034.4 |
161 | 2024-05-04 03:46:49 | scabbiest | 2 | 121436 | 24 | 9.923 | 12237.8 |
160 | 2024-04-30 22:02:03 | scabbiest | 2 | 121436 | 24 | 5.330 | 22783.5 |
159 | 2024-04-29 18:14:20 | scabbiest | 2 | 121436 | 24 | 4.033 | 30110.6 |
158 | 2024-04-29 18:11:11 | scabbiest | 3 | 148641 | 115 | 7.876 | 18872.7 |
157 | 2024-04-27 07:54:57 | scabbiest | 1 | 81242 | 2 | 1.360 | 59736.8 |
156 | 2024-04-26 20:38:22 | scabbiest | 3 | 148641 | 115 | 18.390 | 8082.7 |
155 | 2024-04-25 23:37:20 | scabbiest | 3 | 148641 | 115 | 15.310 | 9708.8 |
154 | 2024-04-25 23:37:23 | scabbiest | 2 | 121436 | 24 | 4.513 | 26908.0 |
153 | 2024-04-25 23:09:04 | scabbiest | 1 | 81242 | 2 | 1.483 | 54782.2 |
152 | 2024-04-25 10:59:29 | scabbiest | 1 | 81242 | 2 | 3.283 | 24746.3 |
151 | 2024-04-19 09:54:32 | scabbiest | 1 | 81242 | 2 | 1.436 | 56575.2 |
150 | 2024-04-13 21:22:04 | scabbiest | 1 | 81242 | 2 | 5.046 | 16100.3 |
149 | 2024-03-29 05:53:30 | scabbiest | 1 | 81242 | 2 | 6.360 | 12773.9 |
148 | 2024-03-28 07:39:19 | scabbiest | 1 | 81242 | 2 | 1.470 | 55266.7 |
147 | 2024-03-24 11:15:53 | scabbiest | 3 | 148641 | 115 | 24.470 | 6074.4 |
146 | 2024-03-24 11:15:50 | scabbiest | 2 | 121436 | 24 | 8.720 | 13926.1 |
145 | 2024-03-18 12:10:54 | scabbiest | 3 | 148641 | 115 | 26.720 | 5562.9 |
144 | 2024-03-18 10:26:14 | scabbiest | 3 | 148641 | 115 | 20.483 | 7256.8 |
143 | 2024-03-18 10:26:14 | scabbiest | 2 | 121436 | 24 | 9.596 | 12654.9 |
142 | 2024-03-18 07:38:26 | scabbiest | 1 | 81242 | 2 | 1.420 | 57212.7 |
141 | 2024-03-07 10:25:33 | scabbiest | 1 | 81242 | 2 | 3.263 | 24897.9 |
140 | 2024-03-06 04:04:31 | scabbiest | 1 | 81242 | 2 | 3.326 | 24426.3 |
139 | 2024-02-29 19:32:33 | scabbiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
138 | 2024-02-27 06:31:31 | scabbiest | 1 | 81242 | 2 | 1.436 | 56575.2 |
137 | 2024-02-14 21:01:36 | scabbiest | 1 | 81242 | 2 | 1.436 | 56575.2 |
136 | 2024-01-29 11:58:02 | scabbiest | 1 | 81242 | 2 | 1.530 | 53099.3 |
135 | 2024-01-23 15:39:05 | scabbiest | 3 | 148641 | 115 | 20.566 | 7227.5 |
134 | 2024-01-13 08:44:03 | scabbiest | 1 | 81242 | 2 | 1.326 | 61268.5 |
133 | 2024-01-02 17:21:38 | scabbiest | 1 | 81242 | 2 | 1.280 | 63470.3 |
132 | 2023-12-30 13:33:42 | scabbiest | 3 | 148641 | 115 | 7.123 | 20867.8 |
131 | 2023-12-21 13:33:47 | scabbiest | 2 | 121436 | 24 | 3.360 | 36141.7 |
130 | 2023-12-20 23:10:59 | scabbiest | 1 | 81242 | 2 | 1.280 | 63470.3 |
129 | 2023-12-17 21:44:36 | scabbiest | 1 | 81242 | 2 | 1.486 | 54671.6 |
128 | 2023-12-17 15:55:28 | scabbiest | 1 | 81242 | 2 | 1.813 | 44810.8 |
127 | 2023-12-14 15:50:10 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
126 | 2023-11-06 03:18:51 | scabbiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
125 | 2023-10-29 11:13:41 | scabbiest | 1 | 81242 | 2 | 1.500 | 54161.3 |
124 | 2023-10-24 12:10:16 | scabbiest | 1 | 81242 | 2 | 3.200 | 25388.1 |
123 | 2023-10-03 20:59:10 | scabbiest | 3 | 148641 | 115 | 6.063 | 24516.1 |
122 | 2023-09-22 07:37:55 | scabbiest | 2 | 121436 | 24 | 3.640 | 33361.5 |
121 | 2023-09-14 15:35:15 | scabbiest | 1 | 81242 | 2 | 1.483 | 54782.2 |
120 | 2023-09-04 05:38:30 | scabbiest | 1 | 81242 | 2 | 1.326 | 61268.5 |
119 | 2023-08-31 23:49:39 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
118 | 2023-08-19 05:16:03 | scabbiest | 1 | 81242 | 2 | 1.283 | 63321.9 |
117 | 2023-07-15 00:39:45 | scabbiest | 3 | 148641 | 115 | 6.796 | 21871.8 |
116 | 2023-06-27 17:47:11 | scabbiest | 2 | 121436 | 24 | 3.703 | 32794.0 |
115 | 2023-05-23 12:22:37 | scabbiest | 1 | 81242 | 2 | 1.266 | 64172.2 |
114 | 2023-04-30 11:33:41 | scabbiest | 1 | 81242 | 2 | 1.236 | 65729.8 |
113 | 2023-04-03 10:12:37 | scabbiest | 3 | 148641 | 115 | 6.030 | 24650.2 |
112 | 2023-03-20 04:01:38 | scabbiest | 2 | 121436 | 24 | 3.686 | 32945.2 |
111 | 2023-03-18 11:44:43 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
110 | 2023-01-07 10:17:55 | scabbiest | 1 | 81242 | 2 | 1.266 | 64172.2 |
109 | 2022-12-29 20:40:10 | scabbiest | 3 | 148641 | 115 | 6.033 | 24638.0 |
108 | 2022-12-26 20:05:06 | scabbiest | 1 | 81242 | 2 | 1.390 | 58447.5 |
107 | 2022-12-21 23:27:04 | scabbiest | 2 | 121436 | 24 | 3.296 | 36843.4 |
106 | 2022-10-05 07:29:03 | scabbiest | 1 | 81242 | 2 | 1.486 | 54671.6 |
105 | 2022-08-30 02:56:40 | scabbiest | 3 | 148641 | 115 | 6.250 | 23782.6 |
104 | 2022-08-27 17:02:49 | scabbiest | 3 | 148641 | 115 | 6.343 | 23433.9 |
103 | 2022-08-19 09:47:02 | scabbiest | 1 | 81242 | 2 | 1.280 | 63470.3 |
102 | 2022-08-18 21:15:42 | scabbiest | 2 | 121436 | 24 | 3.860 | 31460.1 |
101 | 2022-05-30 11:53:21 | scabbiest | 2 | 121436 | 24 | 3.233 | 37561.4 |
100 | 2022-05-25 07:28:48 | scabbiest | 1 | 81242 | 2 | 1.293 | 62832.2 |
99 | 2022-04-24 19:07:16 | scabbiest | 2 | 121436 | 24 | 3.390 | 35821.8 |
98 | 2022-03-29 18:19:49 | scabbiest | 2 | 121436 | 24 | 3.656 | 33215.5 |
97 | 2022-03-29 02:29:04 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
96 | 2022-03-18 09:11:48 | scabbiest | 3 | 148641 | 115 | 6.750 | 22020.9 |
95 | 2022-02-02 08:08:50 | scabbiest | 1 | 81242 | 2 | 1.420 | 57212.7 |
94 | 2021-12-10 22:03:35 | scabbiest | 1 | 81242 | 2 | 1.546 | 52549.8 |
93 | 2021-11-24 22:13:14 | scabbiest | 1 | 81242 | 2 | 1.546 | 52549.8 |
92 | 2021-08-08 13:31:03 | scabbiest | 1 | 81242 | 2 | 1.280 | 63470.3 |
91 | 2021-08-02 16:35:59 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
90 | 2021-06-28 01:27:28 | scabbiest | 1 | 81242 | 2 | 1.466 | 55417.5 |
89 | 2021-06-27 06:46:53 | scabbiest | 1 | 81242 | 2 | 1.263 | 64324.6 |
88 | 2021-04-19 19:36:05 | scabbiest | 1 | 81242 | 2 | 1.530 | 53099.3 |
87 | 2020-12-26 04:02:51 | scabbiest | 1 | 81242 | 2 | 1.296 | 62686.7 |
86 | 2020-11-20 10:51:43 | scabbiest | 1 | 81242 | 2 | 1.233 | 65889.7 |
85 | 2020-10-20 17:32:11 | scabbiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
84 | 2020-10-17 12:32:00 | scabbiest | 1 | 81242 | 2 | 1.263 | 64324.6 |
83 | 2020-09-14 18:59:57 | scabbiest | 1 | 81242 | 2 | 2.596 | 31295.1 |
82 | 2020-05-27 10:26:27 | scabbiest | 1 | 81242 | 2 | 1.280 | 63470.3 |
81 | 2020-03-02 22:12:32 | scabbiest | 1 | 81242 | 2 | 3.140 | 25873.2 |
80 | 2020-02-23 08:20:09 | scabbiest | 1 | 81242 | 2 | 3.220 | 25230.4 |
79 | 2020-02-21 05:51:29 | scabbiest | 1 | 81242 | 2 | 2.656 | 30588.1 |
78 | 2020-02-05 19:59:14 | scabbiest | 1 | 81242 | 2 | 5.423 | 14981.0 |
77 | 2020-02-05 06:37:32 | scabbiest | 1 | 81242 | 2 | 3.030 | 26812.5 |
76 | 2020-01-31 07:43:03 | scabbiest | 1 | 81242 | 2 | 1.533 | 52995.4 |
75 | 2020-01-30 17:09:56 | scabbiest | 1 | 81242 | 2 | 1.733 | 46879.4 |
74 | 2020-01-22 07:34:00 | scabbiest | 1 | 81242 | 2 | 1.500 | 54161.3 |
73 | 2020-01-17 06:00:50 | scabbiest | 1 | 81242 | 2 | 1.403 | 57905.9 |
72 | 2020-01-10 10:11:44 | scabbiest | 1 | 81242 | 2 | 1.500 | 54161.3 |
71 | 2020-01-02 15:51:09 | scabbiest | 1 | 81242 | 2 | 4.423 | 18368.1 |
70 | 2019-11-18 22:29:47 | scabbiest | 1 | 81242 | 2 | 1.406 | 57782.4 |
69 | 2019-08-17 06:58:41 | scabbiest | 1 | 81242 | 2 | 1.320 | 61547.0 |
68 | 2019-05-04 21:29:12 | scabbiest | 1 | 81242 | 2 | 1.416 | 57374.3 |