History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"embarkments"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 392 | 2025-10-26 12:12:10 | embarkments | 1 | 49908 | 3 | 0.766 | 65154.0 |
| 391 | 2025-10-22 17:21:12 | embarkments | 1 | 49908 | 3 | 2.906 | 17174.1 |
| 390 | 2025-10-22 17:20:48 | embarkments | 1 | 49908 | 3 | 5.703 | 8751.2 |
| 389 | 2025-10-22 17:20:31 | embarkments | 1 | 49908 | 3 | 3.923 | 12721.9 |
| 388 | 2025-10-22 17:20:18 | embarkments | 1 | 49908 | 3 | 1.533 | 32555.8 |
| 387 | 2025-10-06 19:36:09 | embarkments | 1 | 49908 | 3 | 0.766 | 65154.0 |
| 386 | 2025-10-06 19:35:14 | embarkments | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 385 | 2025-10-02 10:19:58 | embarkments | 1 | 49908 | 3 | 3.220 | 15499.4 |
| 384 | 2025-10-02 10:19:34 | embarkments | 1 | 49908 | 3 | 3.110 | 16047.6 |
| 383 | 2025-09-13 18:58:55 | embarkments | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 382 | 2025-08-26 15:26:25 | embarkments | 1 | 49908 | 3 | 0.830 | 60130.1 |
| 381 | 2025-08-09 12:40:15 | embarkments | 1 | 49908 | 3 | 4.936 | 10111.0 |
| 380 | 2025-08-01 01:52:45 | embarkments | 1 | 49908 | 3 | 3.826 | 13044.4 |
| 379 | 2025-07-27 23:22:31 | embarkments | 3 | 121633 | 17 | 11.796 | 10311.4 |
| 378 | 2025-07-27 04:34:21 | embarkments | 1 | 49908 | 3 | 2.110 | 23653.1 |
| 377 | 2025-07-16 20:02:39 | embarkments | 2 | 86808 | 6 | 5.453 | 15919.3 |
| 376 | 2025-07-08 12:19:05 | embarkments | 1 | 49908 | 3 | 2.860 | 17450.3 |
| 375 | 2025-06-28 02:49:39 | embarkments | 1 | 49908 | 3 | 3.186 | 15664.8 |
| 374 | 2025-06-20 01:11:05 | embarkments | 1 | 49908 | 3 | 3.936 | 12679.9 |
| 373 | 2025-06-10 00:13:56 | embarkments | 1 | 49908 | 3 | 5.906 | 8450.4 |
| 372 | 2025-05-26 19:32:26 | embarkments | 1 | 49908 | 3 | 6.000 | 8318.0 |
| 371 | 2025-05-20 20:00:29 | embarkments | 1 | 49908 | 3 | 0.890 | 56076.4 |
| 370 | 2025-05-20 00:06:35 | embarkments | 1 | 49908 | 3 | 2.033 | 24548.9 |
| 369 | 2025-04-30 11:59:01 | embarkments | 1 | 49908 | 3 | 2.356 | 21183.4 |
| 368 | 2025-04-18 09:37:54 | embarkments | 1 | 49908 | 3 | 2.140 | 23321.5 |
| 367 | 2025-03-31 04:15:59 | embarkments | 1 | 49908 | 3 | 3.970 | 12571.3 |
| 366 | 2025-03-27 14:26:44 | embarkments | 1 | 49908 | 3 | 2.233 | 22350.2 |
| 365 | 2025-03-24 16:45:12 | embarkments | 1 | 49908 | 3 | 3.970 | 12571.3 |
| 364 | 2025-03-08 07:48:24 | embarkments | 1 | 49908 | 3 | 4.093 | 12193.5 |
| 363 | 2025-03-07 17:55:47 | embarkments | 3 | 121633 | 17 | 26.016 | 4675.3 |
| 362 | 2025-03-02 17:26:35 | embarkments | 1 | 49908 | 3 | 1.936 | 25778.9 |
| 361 | 2025-02-26 18:34:17 | embarkments | 3 | 121633 | 17 | 33.410 | 3640.6 |
| 360 | 2025-02-26 18:25:50 | embarkments | 2 | 86808 | 6 | 2.500 | 34723.2 |
| 359 | 2025-02-24 14:02:47 | embarkments | 1 | 49908 | 3 | 3.686 | 13539.9 |
| 358 | 2025-02-24 11:53:33 | embarkments | 3 | 121633 | 17 | 31.190 | 3899.7 |
| 357 | 2025-02-22 20:35:18 | embarkments | 1 | 49908 | 3 | 3.876 | 12876.2 |
| 356 | 2025-02-22 08:08:55 | embarkments | 4 | 148819 | 82 | 65.626 | 2267.7 |
| 355 | 2025-02-19 14:30:33 | embarkments | 3 | 121633 | 17 | 25.030 | 4859.5 |
| 354 | 2025-02-17 04:31:44 | embarkments | 4 | 148819 | 82 | 61.986 | 2400.8 |
| 353 | 2025-02-16 04:07:47 | embarkments | 4 | 148819 | 82 | 50.270 | 2960.4 |
| 352 | 2025-02-16 04:07:37 | embarkments | 4 | 148819 | 82 | 42.580 | 3495.0 |
| 351 | 2025-02-16 04:07:17 | embarkments | 3 | 121633 | 17 | 26.610 | 4571.0 |
| 350 | 2025-02-16 04:07:04 | embarkments | 2 | 86808 | 6 | 11.936 | 7272.8 |
| 349 | 2025-02-16 04:03:41 | embarkments | 1 | 49908 | 3 | 2.123 | 23508.2 |
| 348 | 2025-02-11 17:41:59 | embarkments | 3 | 121633 | 17 | 18.123 | 6711.5 |
| 347 | 2025-02-11 08:51:33 | embarkments | 1 | 49908 | 3 | 1.703 | 29305.9 |
| 346 | 2025-01-24 04:59:33 | embarkments | 1 | 49908 | 3 | 4.733 | 10544.7 |
| 345 | 2025-01-20 10:19:17 | embarkments | 1 | 49908 | 3 | 5.296 | 9423.7 |
| 344 | 2025-01-16 00:09:58 | embarkments | 3 | 121633 | 17 | 31.453 | 3867.1 |
| 343 | 2025-01-16 00:09:22 | embarkments | 4 | 148819 | 82 | 64.970 | 2290.6 |
| 342 | 2025-01-16 00:10:02 | embarkments | 2 | 86808 | 6 | 18.596 | 4668.1 |
| 341 | 2025-01-16 00:06:26 | embarkments | 1 | 49908 | 3 | 1.593 | 31329.6 |
| 340 | 2025-01-13 15:27:43 | embarkments | 2 | 86808 | 6 | 11.376 | 7630.8 |
| 339 | 2025-01-07 11:04:29 | embarkments | 2 | 86808 | 6 | 10.766 | 8063.2 |
| 338 | 2025-01-07 11:02:34 | embarkments | 4 | 148819 | 82 | 62.253 | 2390.6 |
| 337 | 2025-01-07 11:02:08 | embarkments | 1 | 49908 | 3 | 1.376 | 36270.3 |
| 336 | 2025-01-07 05:21:53 | embarkments | 4 | 148819 | 82 | 55.470 | 2682.9 |
| 335 | 2025-01-04 07:25:13 | embarkments | 4 | 148819 | 82 | 37.940 | 3922.5 |
| 334 | 2025-01-02 00:22:48 | embarkments | 4 | 148819 | 82 | 51.126 | 2910.8 |
| 333 | 2024-12-22 09:08:28 | embarkments | 4 | 148819 | 82 | 72.660 | 2048.2 |
| 332 | 2024-12-22 09:08:34 | embarkments | 2 | 86808 | 6 | 7.516 | 11549.8 |
| 331 | 2024-12-22 09:03:48 | embarkments | 3 | 121633 | 17 | 26.596 | 4573.4 |
| 330 | 2024-12-20 07:29:01 | embarkments | 1 | 49908 | 3 | 5.890 | 8473.3 |
| 329 | 2024-12-18 14:46:14 | embarkments | 3 | 121633 | 17 | 22.763 | 5343.5 |
| 328 | 2024-12-17 03:40:56 | embarkments | 1 | 49908 | 3 | 4.080 | 12232.4 |
| 327 | 2024-12-15 13:56:04 | embarkments | 3 | 121633 | 17 | 43.480 | 2797.4 |
| 326 | 2024-12-15 13:56:05 | embarkments | 2 | 86808 | 6 | 10.186 | 8522.3 |
| 325 | 2024-12-15 13:55:28 | embarkments | 1 | 49908 | 3 | 2.203 | 22654.6 |
| 324 | 2024-12-05 15:12:25 | embarkments | 1 | 49908 | 3 | 3.843 | 12986.7 |
| 323 | 2024-12-05 02:15:02 | embarkments | 4 | 148819 | 82 | 46.690 | 3187.4 |
| 322 | 2024-12-04 12:59:36 | embarkments | 4 | 148819 | 82 | 45.766 | 3251.7 |
| 321 | 2024-12-03 00:15:11 | embarkments | 4 | 148819 | 82 | 49.016 | 3036.1 |
| 320 | 2024-12-02 04:55:03 | embarkments | 4 | 148819 | 82 | 52.583 | 2830.2 |
| 319 | 2024-12-01 23:07:18 | embarkments | 4 | 148819 | 82 | 33.143 | 4490.2 |
| 318 | 2024-11-17 18:13:21 | embarkments | 4 | 148819 | 82 | 54.160 | 2747.8 |
| 317 | 2024-11-16 08:31:51 | embarkments | 3 | 121633 | 17 | 17.093 | 7116.0 |
| 316 | 2024-11-15 21:27:50 | embarkments | 1 | 49908 | 3 | 2.156 | 23148.4 |
| 315 | 2024-11-09 03:44:41 | embarkments | 1 | 49908 | 3 | 3.906 | 12777.3 |
| 314 | 2024-11-08 15:26:20 | embarkments | 1 | 49908 | 3 | 3.733 | 13369.4 |
| 313 | 2024-11-04 08:57:49 | embarkments | 3 | 121633 | 17 | 14.893 | 8167.1 |
| 312 | 2024-11-03 17:15:42 | embarkments | 4 | 148819 | 82 | 36.643 | 4061.3 |
| 311 | 2024-11-02 20:08:38 | embarkments | 4 | 148819 | 82 | 51.563 | 2886.2 |
| 310 | 2024-11-02 18:01:34 | embarkments | 4 | 148819 | 82 | 52.186 | 2851.7 |
| 309 | 2024-11-02 02:43:45 | embarkments | 4 | 148819 | 82 | 54.263 | 2742.6 |
| 308 | 2024-11-02 01:34:23 | embarkments | 4 | 148819 | 82 | 48.753 | 3052.5 |
| 307 | 2024-11-01 17:30:02 | embarkments | 3 | 121633 | 17 | 12.876 | 9446.5 |
| 306 | 2024-11-01 15:24:30 | embarkments | 3 | 121633 | 17 | 17.530 | 6938.6 |
| 305 | 2024-10-10 11:50:29 | embarkments | 1 | 49908 | 3 | 1.920 | 25993.8 |
| 304 | 2024-10-07 10:58:06 | embarkments | 1 | 49908 | 3 | 3.656 | 13651.0 |
| 303 | 2024-10-05 17:29:16 | embarkments | 2 | 86808 | 6 | 15.986 | 5430.3 |
| 302 | 2024-10-05 17:26:19 | embarkments | 1 | 49908 | 3 | 5.440 | 9174.3 |
| 301 | 2024-09-25 10:04:33 | embarkments | 3 | 121633 | 17 | 38.903 | 3126.6 |
| 300 | 2024-09-25 10:04:35 | embarkments | 3 | 121633 | 17 | 32.913 | 3695.6 |
| 299 | 2024-09-25 10:04:12 | embarkments | 3 | 121633 | 17 | 24.623 | 4939.8 |
| 298 | 2024-09-21 10:50:56 | embarkments | 3 | 121633 | 17 | 39.360 | 3090.3 |
| 297 | 2024-09-20 11:45:51 | embarkments | 2 | 86808 | 6 | 14.640 | 5929.5 |
| 296 | 2024-09-19 13:49:39 | embarkments | 4 | 148819 | 82 | 75.720 | 1965.4 |
| 295 | 2024-09-19 13:49:41 | embarkments | 3 | 121633 | 17 | 42.750 | 2845.2 |
| 294 | 2024-09-19 13:49:32 | embarkments | 1 | 49908 | 3 | 3.483 | 14329.0 |
| 293 | 2024-09-19 09:42:39 | embarkments | 4 | 148819 | 82 | 73.900 | 2013.8 |