History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"leannesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 337 | 2024-04-25 10:59:16 | leannesses | 3 | 140603 | 139 | 17.063 | 8240.2 |
| 336 | 2024-04-25 10:59:17 | leannesses | 2 | 108824 | 22 | 8.280 | 13143.0 |
| 335 | 2024-04-25 10:52:00 | leannesses | 1 | 67641 | 3 | 3.280 | 20622.3 |
| 334 | 2024-04-20 11:51:00 | leannesses | 1 | 67641 | 3 | 4.890 | 13832.5 |
| 333 | 2024-04-14 05:27:21 | leannesses | 2 | 108824 | 22 | 8.483 | 12828.5 |
| 332 | 2024-04-14 05:25:01 | leannesses | 1 | 67641 | 3 | 2.250 | 30062.7 |
| 331 | 2024-04-14 05:00:11 | leannesses | 3 | 140603 | 139 | 16.796 | 8371.2 |
| 330 | 2024-04-13 22:59:12 | leannesses | 2 | 108824 | 22 | 4.250 | 25605.6 |
| 329 | 2024-04-13 22:59:03 | leannesses | 3 | 140603 | 139 | 7.873 | 17858.9 |
| 328 | 2024-04-13 22:51:52 | leannesses | 1 | 67641 | 3 | 1.966 | 34405.4 |
| 327 | 2024-04-12 18:54:41 | leannesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 326 | 2024-04-11 15:17:34 | leannesses | 1 | 67641 | 3 | 2.126 | 31816.1 |
| 325 | 2024-04-07 20:04:16 | leannesses | 1 | 67641 | 3 | 1.393 | 48557.8 |
| 324 | 2024-04-07 20:04:08 | leannesses | 1 | 67641 | 3 | 3.923 | 17242.2 |
| 323 | 2024-03-24 12:47:37 | leannesses | 3 | 140603 | 139 | 16.296 | 8628.1 |
| 322 | 2024-03-24 12:47:31 | leannesses | 2 | 108824 | 22 | 11.330 | 9604.9 |
| 321 | 2024-03-24 12:41:57 | leannesses | 1 | 67641 | 3 | 1.436 | 47103.8 |
| 320 | 2024-03-21 07:01:28 | leannesses | 1 | 67641 | 3 | 3.733 | 18119.7 |
| 319 | 2024-03-20 04:45:35 | leannesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 318 | 2024-03-13 15:54:10 | leannesses | 1 | 67641 | 3 | 2.533 | 26703.9 |
| 317 | 2024-03-11 01:48:36 | leannesses | 1 | 67641 | 3 | 3.190 | 21204.1 |
| 316 | 2024-03-10 12:55:00 | leannesses | 3 | 140603 | 139 | 16.346 | 8601.7 |
| 315 | 2024-03-10 12:54:59 | leannesses | 2 | 108824 | 22 | 7.406 | 14694.0 |
| 314 | 2024-03-10 12:51:25 | leannesses | 1 | 67641 | 3 | 4.013 | 16855.5 |
| 313 | 2024-02-22 16:54:13 | leannesses | 3 | 140603 | 139 | 10.970 | 12817.0 |
| 312 | 2024-02-22 16:54:13 | leannesses | 2 | 108824 | 22 | 7.406 | 14694.0 |
| 311 | 2024-02-22 09:50:48 | leannesses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 310 | 2024-02-13 14:16:16 | leannesses | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 309 | 2024-02-12 13:47:11 | leannesses | 1 | 67641 | 3 | 2.453 | 27574.8 |
| 308 | 2024-02-12 12:57:20 | leannesses | 2 | 108824 | 22 | 7.376 | 14753.8 |
| 307 | 2024-02-12 09:00:43 | leannesses | 3 | 140603 | 139 | 15.970 | 8804.2 |
| 306 | 2024-02-11 23:55:54 | leannesses | 3 | 140603 | 139 | 28.783 | 4884.9 |
| 305 | 2024-02-11 07:23:16 | leannesses | 2 | 108824 | 22 | 12.250 | 8883.6 |
| 304 | 2024-02-11 07:23:15 | leannesses | 3 | 140603 | 139 | 9.783 | 14372.2 |
| 303 | 2024-02-11 05:07:10 | leannesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 302 | 2024-02-09 06:51:05 | leannesses | 3 | 140603 | 139 | 7.690 | 18283.9 |
| 301 | 2024-02-09 06:51:05 | leannesses | 2 | 108824 | 22 | 5.373 | 20253.9 |
| 300 | 2024-02-09 06:40:50 | leannesses | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 299 | 2024-02-08 14:56:16 | leannesses | 1 | 67641 | 3 | 2.720 | 24868.0 |
| 298 | 2024-01-23 06:13:35 | leannesses | 1 | 67641 | 3 | 2.530 | 26735.6 |
| 297 | 2023-12-28 05:26:37 | leannesses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 296 | 2023-12-27 18:14:28 | leannesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 295 | 2023-11-30 23:10:58 | leannesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 294 | 2023-11-14 16:15:03 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 293 | 2023-10-31 10:04:43 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 292 | 2023-10-27 17:50:19 | leannesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 291 | 2023-10-16 02:53:35 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 290 | 2023-10-09 00:09:00 | leannesses | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 289 | 2023-09-16 21:06:00 | leannesses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 288 | 2023-08-25 07:08:17 | leannesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 287 | 2023-08-12 09:25:32 | leannesses | 1 | 67641 | 3 | 0.986 | 68601.4 |
| 286 | 2023-05-11 16:12:25 | leannesses | 1 | 67641 | 3 | 2.156 | 31373.4 |
| 285 | 2023-05-10 18:11:47 | leannesses | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 284 | 2023-03-04 09:59:47 | leannesses | 1 | 67641 | 3 | 0.966 | 70021.7 |
| 283 | 2023-01-29 12:30:00 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 282 | 2022-12-29 03:37:13 | leannesses | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 281 | 2022-10-11 14:27:51 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 280 | 2022-09-14 14:24:00 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 279 | 2022-07-20 00:31:52 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 278 | 2022-07-17 17:10:56 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 277 | 2022-06-24 23:42:45 | leannesses | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 276 | 2022-03-15 07:07:18 | leannesses | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 275 | 2022-03-05 11:16:20 | leannesses | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 274 | 2022-01-09 10:11:37 | leannesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 273 | 2022-01-07 06:58:38 | leannesses | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 272 | 2021-11-21 17:22:24 | leannesses | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 271 | 2021-08-18 20:49:39 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 270 | 2021-08-03 23:30:12 | leannesses | 1 | 67641 | 3 | 0.986 | 68601.4 |
| 269 | 2021-06-23 01:39:59 | leannesses | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 268 | 2021-05-14 21:31:46 | leannesses | 1 | 67641 | 3 | 1.106 | 61158.2 |
| 267 | 2021-04-12 22:00:10 | leannesses | 3 | 140603 | 139 | 6.486 | 21677.9 |
| 266 | 2021-04-11 20:11:17 | leannesses | 2 | 108824 | 22 | 3.080 | 35332.5 |
| 265 | 2021-04-10 15:52:44 | leannesses | 2 | 108824 | 22 | 3.016 | 36082.2 |
| 264 | 2021-04-09 11:52:09 | leannesses | 2 | 108824 | 22 | 3.373 | 32263.3 |
| 263 | 2021-03-21 22:53:27 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 262 | 2021-03-16 14:43:44 | leannesses | 3 | 140603 | 139 | 5.610 | 25062.9 |
| 261 | 2021-02-28 00:25:28 | leannesses | 2 | 108824 | 22 | 2.766 | 39343.5 |
| 260 | 2021-02-12 00:21:44 | leannesses | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 259 | 2021-02-07 00:16:32 | leannesses | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 258 | 2021-01-26 15:26:19 | leannesses | 3 | 140603 | 139 | 5.563 | 25274.7 |
| 257 | 2021-01-09 01:21:33 | leannesses | 2 | 108824 | 22 | 2.686 | 40515.3 |
| 256 | 2020-11-23 18:33:44 | leannesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 255 | 2020-11-09 04:33:24 | leannesses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 254 | 2020-11-05 01:04:30 | leannesses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 253 | 2020-10-28 10:49:58 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 252 | 2020-10-23 13:10:50 | leannesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 251 | 2020-10-22 10:43:33 | leannesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 250 | 2020-09-27 13:55:48 | leannesses | 2 | 108824 | 22 | 2.673 | 40712.3 |
| 249 | 2020-09-11 11:32:33 | leannesses | 2 | 108824 | 22 | 2.796 | 38921.3 |
| 248 | 2020-09-04 00:26:28 | leannesses | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 247 | 2020-09-03 08:43:11 | leannesses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 246 | 2020-08-13 18:25:21 | leannesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 245 | 2020-08-01 19:39:48 | leannesses | 1 | 67641 | 3 | 1.143 | 59178.5 |
| 244 | 2020-08-01 06:36:45 | leannesses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 243 | 2020-07-30 00:17:18 | leannesses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 242 | 2020-07-29 20:46:56 | leannesses | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 241 | 2020-07-17 22:29:14 | leannesses | 2 | 108824 | 22 | 5.966 | 18240.7 |
| 240 | 2020-04-29 19:27:22 | leannesses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 239 | 2020-03-25 07:45:40 | leannesses | 1 | 67641 | 3 | 1.106 | 61158.2 |
| 238 | 2020-02-26 04:55:54 | leannesses | 1 | 67641 | 3 | 1.186 | 57032.9 |