History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"moistnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 239 | 2024-04-25 04:53:22 | moistnesses | 1 | 49908 | 1 | 1.876 | 26603.4 |
| 238 | 2024-04-16 10:27:26 | moistnesses | 3 | 121633 | 62 | 17.936 | 6781.5 |
| 237 | 2024-04-16 10:27:22 | moistnesses | 2 | 86808 | 10 | 2.970 | 29228.3 |
| 236 | 2024-04-16 10:18:08 | moistnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 235 | 2024-04-05 11:38:13 | moistnesses | 3 | 121633 | 62 | 18.140 | 6705.2 |
| 234 | 2024-04-05 11:36:30 | moistnesses | 2 | 86808 | 10 | 7.656 | 11338.6 |
| 233 | 2024-04-04 21:26:11 | moistnesses | 3 | 121633 | 62 | 6.390 | 19034.9 |
| 232 | 2024-04-04 21:26:05 | moistnesses | 2 | 86808 | 10 | 4.406 | 19702.2 |
| 231 | 2024-04-04 21:22:06 | moistnesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 230 | 2024-04-03 00:09:54 | moistnesses | 4 | 148819 | 513 | 28.676 | 5189.7 |
| 229 | 2024-04-02 08:11:55 | moistnesses | 4 | 148819 | 513 | 29.173 | 5101.3 |
| 228 | 2024-04-02 06:42:14 | moistnesses | 1 | 49908 | 1 | 1.780 | 28038.2 |
| 227 | 2024-03-31 13:29:06 | moistnesses | 4 | 148819 | 513 | 32.376 | 4596.6 |
| 226 | 2024-03-31 08:48:00 | moistnesses | 4 | 148819 | 513 | 16.423 | 9061.6 |
| 225 | 2024-03-13 01:45:48 | moistnesses | 1 | 49908 | 1 | 3.000 | 16636.0 |
| 224 | 2024-03-11 10:33:36 | moistnesses | 3 | 121633 | 62 | 13.000 | 9356.4 |
| 223 | 2024-03-10 14:03:24 | moistnesses | 3 | 121633 | 62 | 11.766 | 10337.7 |
| 222 | 2024-03-10 14:03:22 | moistnesses | 2 | 86808 | 10 | 5.876 | 14773.3 |
| 221 | 2024-03-10 13:45:29 | moistnesses | 1 | 49908 | 1 | 1.186 | 42080.9 |
| 220 | 2024-03-03 03:37:01 | moistnesses | 3 | 121633 | 62 | 18.673 | 6513.8 |
| 219 | 2024-03-03 03:37:01 | moistnesses | 2 | 86808 | 10 | 8.563 | 10137.6 |
| 218 | 2024-03-03 03:17:44 | moistnesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 217 | 2024-03-02 01:23:10 | moistnesses | 1 | 49908 | 1 | 1.420 | 35146.5 |
| 216 | 2024-02-22 18:53:17 | moistnesses | 4 | 148819 | 513 | 9.436 | 15771.4 |
| 215 | 2024-02-22 18:53:13 | moistnesses | 3 | 121633 | 62 | 4.876 | 24945.2 |
| 214 | 2024-02-22 18:53:15 | moistnesses | 2 | 86808 | 10 | 2.343 | 37049.9 |
| 213 | 2024-02-22 17:40:30 | moistnesses | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 212 | 2024-02-13 18:24:32 | moistnesses | 3 | 121633 | 62 | 16.923 | 7187.4 |
| 211 | 2024-02-13 18:24:35 | moistnesses | 2 | 86808 | 10 | 5.686 | 15267.0 |
| 210 | 2024-02-13 14:14:41 | moistnesses | 1 | 49908 | 1 | 0.970 | 51451.5 |
| 209 | 2024-02-10 22:42:47 | moistnesses | 2 | 86808 | 10 | 7.640 | 11362.3 |
| 208 | 2024-02-10 22:20:09 | moistnesses | 1 | 49908 | 1 | 2.186 | 22830.7 |
| 207 | 2024-02-10 01:57:55 | moistnesses | 3 | 121633 | 62 | 17.643 | 6894.1 |
| 206 | 2024-02-10 01:57:54 | moistnesses | 2 | 86808 | 10 | 2.686 | 32318.7 |
| 205 | 2024-02-10 01:17:29 | moistnesses | 1 | 49908 | 1 | 1.330 | 37524.8 |
| 204 | 2024-02-08 18:55:13 | moistnesses | 3 | 121633 | 62 | 12.890 | 9436.2 |
| 203 | 2024-02-08 14:53:27 | moistnesses | 2 | 86808 | 10 | 9.766 | 8888.8 |
| 202 | 2024-02-08 14:53:21 | moistnesses | 3 | 121633 | 62 | 10.470 | 11617.3 |
| 201 | 2024-02-08 13:52:06 | moistnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 200 | 2024-01-23 07:45:37 | moistnesses | 4 | 148819 | 513 | 9.063 | 16420.5 |
| 199 | 2024-01-23 07:45:35 | moistnesses | 3 | 121633 | 62 | 5.516 | 22050.9 |
| 198 | 2024-01-23 07:45:35 | moistnesses | 2 | 86808 | 10 | 2.436 | 35635.5 |
| 197 | 2024-01-23 05:53:25 | moistnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 196 | 2023-12-21 12:45:35 | moistnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 195 | 2023-12-09 21:19:37 | moistnesses | 1 | 49908 | 1 | 0.716 | 69703.9 |
| 194 | 2023-12-05 19:22:38 | moistnesses | 4 | 148819 | 513 | 9.470 | 15714.8 |
| 193 | 2023-12-02 11:12:10 | moistnesses | 4 | 148819 | 513 | 11.236 | 13244.8 |
| 192 | 2023-11-30 22:29:31 | moistnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 191 | 2023-11-14 15:22:52 | moistnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 190 | 2023-10-29 15:49:55 | moistnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 189 | 2023-10-29 15:33:36 | moistnesses | 4 | 148819 | 513 | 11.033 | 13488.5 |
| 188 | 2023-10-26 20:16:55 | moistnesses | 4 | 148819 | 513 | 22.906 | 6496.9 |
| 187 | 2023-10-23 12:23:20 | moistnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 186 | 2023-10-20 23:30:19 | moistnesses | 4 | 148819 | 513 | 24.143 | 6164.1 |
| 185 | 2023-10-14 16:46:44 | moistnesses | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 184 | 2023-10-14 16:34:20 | moistnesses | 4 | 148819 | 513 | 11.220 | 13263.7 |
| 183 | 2023-10-06 00:00:25 | moistnesses | 4 | 148819 | 513 | 10.030 | 14837.4 |
| 182 | 2023-10-06 00:00:26 | moistnesses | 3 | 121633 | 62 | 5.530 | 21995.1 |
| 181 | 2023-10-06 00:00:27 | moistnesses | 2 | 86808 | 10 | 2.406 | 36079.8 |
| 180 | 2023-10-03 10:31:40 | moistnesses | 1 | 49908 | 1 | 1.656 | 30137.7 |
| 179 | 2023-09-28 01:39:06 | moistnesses | 4 | 148819 | 513 | 16.330 | 9113.2 |
| 178 | 2023-09-23 14:18:29 | moistnesses | 1 | 49908 | 1 | 0.800 | 62385.0 |
| 177 | 2023-09-11 01:45:00 | moistnesses | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 176 | 2023-09-02 14:09:25 | moistnesses | 4 | 148819 | 513 | 8.393 | 17731.3 |
| 175 | 2023-08-15 12:03:46 | moistnesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 174 | 2023-07-20 00:54:51 | moistnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 173 | 2023-05-21 08:57:55 | moistnesses | 4 | 148819 | 513 | 8.110 | 18350.1 |
| 172 | 2023-04-20 06:52:45 | moistnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 171 | 2023-04-19 20:40:00 | moistnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 170 | 2023-02-27 21:05:05 | moistnesses | 4 | 148819 | 513 | 8.000 | 18602.4 |
| 169 | 2023-02-05 09:46:56 | moistnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 168 | 2022-12-27 06:40:43 | moistnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 167 | 2022-12-06 17:56:58 | moistnesses | 4 | 148819 | 513 | 10.736 | 13861.7 |
| 166 | 2022-12-04 02:46:12 | moistnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 165 | 2022-08-23 09:35:59 | moistnesses | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 164 | 2022-07-30 22:19:01 | moistnesses | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 163 | 2022-07-28 13:34:52 | moistnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 162 | 2022-04-15 21:01:59 | moistnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 161 | 2022-04-11 21:59:52 | moistnesses | 4 | 148819 | 513 | 9.410 | 15815.0 |
| 160 | 2022-04-10 19:10:38 | moistnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 159 | 2022-04-09 09:07:21 | moistnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 158 | 2021-12-27 21:31:25 | moistnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 157 | 2021-12-24 18:01:25 | moistnesses | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 156 | 2021-09-14 08:45:27 | moistnesses | 1 | 49908 | 1 | 0.903 | 55269.1 |
| 155 | 2021-09-11 03:46:01 | moistnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 154 | 2021-04-28 02:12:03 | moistnesses | 1 | 49908 | 1 | 0.936 | 53320.5 |
| 153 | 2021-01-22 20:51:58 | moistnesses | 4 | 148819 | 513 | 9.733 | 15290.1 |
| 152 | 2021-01-11 07:40:31 | moistnesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 151 | 2020-12-24 04:56:32 | moistnesses | 4 | 148819 | 513 | 8.236 | 18069.3 |
| 150 | 2020-11-04 06:41:58 | moistnesses | 4 | 148819 | 513 | 9.610 | 15485.8 |
| 149 | 2020-10-31 22:45:32 | moistnesses | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 148 | 2020-10-24 19:05:29 | moistnesses | 3 | 121633 | 62 | 5.826 | 20877.6 |
| 147 | 2020-10-23 12:59:10 | moistnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 146 | 2020-10-06 07:14:45 | moistnesses | 3 | 121633 | 62 | 4.483 | 27132.1 |
| 145 | 2020-08-22 07:59:40 | moistnesses | 3 | 121633 | 62 | 4.640 | 26214.0 |
| 144 | 2020-08-17 07:28:09 | moistnesses | 3 | 121633 | 62 | 4.640 | 26214.0 |
| 143 | 2020-08-16 06:05:22 | moistnesses | 3 | 121633 | 62 | 4.720 | 25769.7 |
| 142 | 2020-03-25 23:20:05 | moistnesses | 4 | 148819 | 513 | 9.236 | 16112.9 |
| 141 | 2020-03-25 17:53:35 | moistnesses | 1 | 49908 | 1 | 1.123 | 44441.7 |
| 140 | 2020-03-07 08:31:25 | moistnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |