History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"robustness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 260 | 2025-10-17 08:22:47 | robustness | 2 | 108824 | 3 | 3.110 | 34991.6 |
| 259 | 2025-09-11 06:42:35 | robustness | 1 | 67641 | 1 | 1.200 | 56367.5 |
| 258 | 2025-09-10 08:00:26 | robustness | 2 | 108824 | 3 | 2.830 | 38453.7 |
| 257 | 2025-09-09 11:47:11 | robustness | 1 | 67641 | 1 | 2.360 | 28661.4 |
| 256 | 2025-08-26 16:59:42 | robustness | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 255 | 2025-08-16 06:56:14 | robustness | 4 | 161450 | 178 | 11.000 | 14677.3 |
| 254 | 2025-08-15 07:02:48 | robustness | 3 | 140603 | 29 | 17.466 | 8050.1 |
| 253 | 2025-08-15 00:33:19 | robustness | 3 | 140603 | 29 | 29.750 | 4726.2 |
| 252 | 2025-08-13 16:42:02 | robustness | 4 | 161450 | 178 | 62.143 | 2598.0 |
| 251 | 2025-08-13 05:39:55 | robustness | 2 | 108824 | 3 | 22.333 | 4872.8 |
| 250 | 2025-08-13 04:36:53 | robustness | 3 | 140603 | 29 | 28.846 | 4874.3 |
| 249 | 2025-08-09 16:29:38 | robustness | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 248 | 2025-08-08 23:35:09 | robustness | 1 | 67641 | 1 | 4.766 | 14192.4 |
| 247 | 2025-08-06 13:44:54 | robustness | 1 | 67641 | 1 | 5.093 | 13281.2 |
| 246 | 2025-08-05 02:17:35 | robustness | 1 | 67641 | 1 | 2.423 | 27916.2 |
| 245 | 2025-07-29 20:11:54 | robustness | 2 | 108824 | 3 | 12.923 | 8421.0 |
| 244 | 2025-07-29 19:53:48 | robustness | 3 | 140603 | 29 | 15.736 | 8935.1 |
| 243 | 2025-07-25 00:12:50 | robustness | 1 | 67641 | 1 | 3.360 | 20131.3 |
| 242 | 2025-07-24 18:20:25 | robustness | 1 | 67641 | 1 | 3.736 | 18105.2 |
| 241 | 2025-07-24 00:38:51 | robustness | 1 | 67641 | 1 | 4.453 | 15190.0 |
| 240 | 2025-07-21 08:45:06 | robustness | 1 | 67641 | 1 | 2.266 | 29850.4 |
| 239 | 2025-07-18 16:43:43 | robustness | 3 | 140603 | 29 | 22.580 | 6226.9 |
| 238 | 2025-07-15 18:43:01 | robustness | 2 | 108824 | 3 | 3.173 | 34296.9 |
| 237 | 2025-07-15 11:17:29 | robustness | 3 | 140603 | 29 | 36.536 | 3848.3 |
| 236 | 2025-07-14 15:41:16 | robustness | 3 | 140603 | 29 | 27.750 | 5066.8 |
| 235 | 2025-07-12 03:51:23 | robustness | 3 | 140603 | 29 | 6.563 | 21423.6 |
| 234 | 2025-07-05 02:24:07 | robustness | 2 | 108824 | 3 | 18.766 | 5799.0 |
| 233 | 2025-07-05 00:23:02 | robustness | 3 | 140603 | 29 | 20.690 | 6795.7 |
| 232 | 2025-07-04 21:06:17 | robustness | 3 | 140603 | 29 | 41.990 | 3348.5 |
| 231 | 2025-07-04 02:00:17 | robustness | 1 | 67641 | 1 | 7.996 | 8459.4 |
| 230 | 2025-06-29 23:03:56 | robustness | 1 | 67641 | 1 | 2.733 | 24749.7 |
| 229 | 2025-06-24 08:16:36 | robustness | 1 | 67641 | 1 | 3.046 | 22206.5 |
| 228 | 2025-05-24 00:35:44 | robustness | 1 | 67641 | 1 | 4.463 | 15155.9 |
| 227 | 2025-05-12 22:45:32 | robustness | 1 | 67641 | 1 | 5.013 | 13493.1 |
| 226 | 2025-05-06 20:14:10 | robustness | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 225 | 2025-05-05 16:55:19 | robustness | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 224 | 2025-05-02 01:40:55 | robustness | 1 | 67641 | 1 | 5.436 | 12443.2 |
| 223 | 2025-04-13 23:19:49 | robustness | 1 | 67641 | 1 | 5.623 | 12029.3 |
| 222 | 2025-04-08 07:49:50 | robustness | 1 | 67641 | 1 | 6.703 | 10091.2 |
| 221 | 2025-04-04 13:51:18 | robustness | 1 | 67641 | 1 | 2.766 | 24454.4 |
| 220 | 2025-03-31 02:55:41 | robustness | 1 | 67641 | 1 | 2.640 | 25621.6 |
| 219 | 2025-03-25 00:02:27 | robustness | 1 | 67641 | 1 | 2.813 | 24045.9 |
| 218 | 2025-03-09 07:16:24 | robustness | 1 | 67641 | 1 | 5.796 | 11670.3 |
| 217 | 2025-02-23 01:24:33 | robustness | 1 | 67641 | 1 | 7.016 | 9641.0 |
| 216 | 2025-02-21 22:26:16 | robustness | 4 | 161450 | 178 | 45.553 | 3544.2 |
| 215 | 2025-02-21 03:13:09 | robustness | 4 | 161450 | 178 | 51.816 | 3115.8 |
| 214 | 2025-02-20 13:54:03 | robustness | 4 | 161450 | 178 | 55.016 | 2934.6 |
| 213 | 2025-02-19 22:25:55 | robustness | 4 | 161450 | 178 | 76.863 | 2100.5 |
| 212 | 2025-02-12 17:45:40 | robustness | 3 | 140603 | 29 | 22.080 | 6367.9 |
| 211 | 2025-02-09 21:14:07 | robustness | 3 | 140603 | 29 | 45.100 | 3117.6 |
| 210 | 2025-02-07 06:45:26 | robustness | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 209 | 2025-02-05 08:36:37 | robustness | 3 | 140603 | 29 | 32.593 | 4313.9 |
| 208 | 2025-02-05 08:36:33 | robustness | 2 | 108824 | 3 | 15.250 | 7136.0 |
| 207 | 2025-02-04 17:47:13 | robustness | 3 | 140603 | 29 | 41.673 | 3374.0 |
| 206 | 2025-02-04 17:47:13 | robustness | 2 | 108824 | 3 | 11.110 | 9795.1 |
| 205 | 2025-02-04 17:44:34 | robustness | 1 | 67641 | 1 | 2.080 | 32519.7 |
| 204 | 2025-01-18 02:46:10 | robustness | 3 | 140603 | 29 | 48.190 | 2917.7 |
| 203 | 2025-01-17 14:13:08 | robustness | 1 | 67641 | 1 | 5.810 | 11642.2 |
| 202 | 2025-01-11 19:14:50 | robustness | 3 | 140603 | 29 | 30.046 | 4679.6 |
| 201 | 2025-01-09 16:40:02 | robustness | 1 | 67641 | 1 | 2.856 | 23683.8 |
| 200 | 2024-12-31 20:58:45 | robustness | 2 | 108824 | 3 | 22.326 | 4874.3 |
| 199 | 2024-12-31 17:35:53 | robustness | 3 | 140603 | 29 | 22.503 | 6248.2 |
| 198 | 2024-12-31 04:17:19 | robustness | 3 | 140603 | 29 | 40.410 | 3479.4 |
| 197 | 2024-12-31 04:17:29 | robustness | 2 | 108824 | 3 | 17.580 | 6190.2 |
| 196 | 2024-12-31 04:16:22 | robustness | 3 | 140603 | 29 | 26.843 | 5238.0 |
| 195 | 2024-12-31 04:15:19 | robustness | 1 | 67641 | 1 | 2.670 | 25333.7 |
| 194 | 2024-12-28 02:31:29 | robustness | 1 | 67641 | 1 | 5.733 | 11798.5 |
| 193 | 2024-12-11 12:37:46 | robustness | 3 | 140603 | 29 | 30.330 | 4635.8 |
| 192 | 2024-12-04 17:24:50 | robustness | 3 | 140603 | 29 | 33.096 | 4248.3 |
| 191 | 2024-12-01 03:17:31 | robustness | 3 | 140603 | 29 | 30.736 | 4574.5 |
| 190 | 2024-12-01 03:17:36 | robustness | 2 | 108824 | 3 | 21.156 | 5143.9 |
| 189 | 2024-12-01 03:17:14 | robustness | 3 | 140603 | 29 | 32.440 | 4334.2 |
| 188 | 2024-12-01 03:14:53 | robustness | 1 | 67641 | 1 | 3.153 | 21452.9 |
| 187 | 2024-11-27 11:32:22 | robustness | 1 | 67641 | 1 | 4.250 | 15915.5 |
| 186 | 2024-11-08 06:25:13 | robustness | 1 | 67641 | 1 | 4.530 | 14931.8 |
| 185 | 2024-10-29 14:35:57 | robustness | 1 | 67641 | 1 | 2.906 | 23276.3 |
| 184 | 2024-10-26 14:19:54 | robustness | 3 | 140603 | 29 | 31.720 | 4432.6 |
| 183 | 2024-10-26 03:12:16 | robustness | 3 | 140603 | 29 | 40.203 | 3497.3 |
| 182 | 2024-10-26 03:12:17 | robustness | 2 | 108824 | 3 | 12.143 | 8961.9 |
| 181 | 2024-10-26 03:09:04 | robustness | 1 | 67641 | 1 | 2.843 | 23792.1 |
| 180 | 2024-10-19 23:40:14 | robustness | 1 | 67641 | 1 | 5.686 | 11896.1 |
| 179 | 2024-09-26 23:00:23 | robustness | 2 | 108824 | 3 | 15.206 | 7156.6 |
| 178 | 2024-09-13 09:28:12 | robustness | 1 | 67641 | 1 | 7.780 | 8694.2 |
| 177 | 2024-09-10 14:20:07 | robustness | 2 | 108824 | 3 | 32.516 | 3346.8 |
| 176 | 2024-09-09 00:23:14 | robustness | 2 | 108824 | 3 | 47.773 | 2277.9 |
| 175 | 2024-09-08 21:17:49 | robustness | 3 | 140603 | 29 | 74.033 | 1899.2 |
| 174 | 2024-09-08 21:17:53 | robustness | 2 | 108824 | 3 | 37.410 | 2909.0 |
| 173 | 2024-09-08 21:11:38 | robustness | 1 | 67641 | 1 | 3.390 | 19953.1 |
| 172 | 2024-08-30 22:32:30 | robustness | 1 | 67641 | 1 | 4.173 | 16209.2 |
| 171 | 2024-08-18 15:24:45 | robustness | 3 | 140603 | 29 | 42.783 | 3286.4 |
| 170 | 2024-08-15 16:28:21 | robustness | 2 | 108824 | 3 | 22.593 | 4816.7 |
| 169 | 2024-08-09 20:58:17 | robustness | 1 | 67641 | 1 | 4.000 | 16910.3 |
| 168 | 2024-08-06 13:31:37 | robustness | 4 | 161450 | 178 | 32.846 | 4915.4 |
| 167 | 2024-08-06 13:31:42 | robustness | 3 | 140603 | 29 | 22.690 | 6196.7 |
| 166 | 2024-08-06 05:48:57 | robustness | 3 | 140603 | 29 | 12.720 | 11053.7 |
| 165 | 2024-08-05 20:48:41 | robustness | 3 | 140603 | 29 | 27.720 | 5072.3 |
| 164 | 2024-08-05 09:47:16 | robustness | 4 | 161450 | 178 | 27.046 | 5969.5 |
| 163 | 2024-08-04 17:10:48 | robustness | 4 | 161450 | 178 | 22.610 | 7140.6 |
| 162 | 2024-08-04 04:58:07 | robustness | 4 | 161450 | 178 | 40.830 | 3954.2 |
| 161 | 2024-08-04 04:58:09 | robustness | 3 | 140603 | 29 | 22.550 | 6235.2 |