History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exoskeletal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 381 | 2025-07-25 01:13:18 | exoskeletal | 1 | 49908 | 1 | 4.013 | 12436.6 |
| 380 | 2025-07-24 04:34:22 | exoskeletal | 1 | 49908 | 1 | 3.640 | 13711.0 |
| 379 | 2025-05-05 13:41:19 | exoskeletal | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 378 | 2025-04-09 02:50:27 | exoskeletal | 2 | 86808 | 3 | 11.233 | 7727.9 |
| 377 | 2025-04-01 19:37:15 | exoskeletal | 1 | 49908 | 1 | 3.843 | 12986.7 |
| 376 | 2025-03-21 05:14:57 | exoskeletal | 1 | 49908 | 1 | 4.470 | 11165.1 |
| 375 | 2025-03-17 06:16:36 | exoskeletal | 1 | 49908 | 1 | 2.700 | 18484.4 |
| 374 | 2025-03-11 09:17:00 | exoskeletal | 1 | 49908 | 1 | 3.826 | 13044.4 |
| 373 | 2025-03-02 19:26:58 | exoskeletal | 4 | 148819 | 8 | 44.003 | 3382.0 |
| 372 | 2025-03-02 19:26:57 | exoskeletal | 3 | 121633 | 7 | 26.843 | 4531.3 |
| 371 | 2025-02-24 15:29:15 | exoskeletal | 4 | 148819 | 8 | 43.393 | 3429.6 |
| 370 | 2025-02-24 15:27:57 | exoskeletal | 3 | 121633 | 7 | 23.783 | 5114.3 |
| 369 | 2025-02-24 15:27:55 | exoskeletal | 2 | 86808 | 3 | 9.093 | 9546.7 |
| 368 | 2025-02-24 15:27:45 | exoskeletal | 1 | 49908 | 1 | 3.826 | 13044.4 |
| 367 | 2025-02-23 03:35:18 | exoskeletal | 4 | 148819 | 8 | 55.083 | 2701.7 |
| 366 | 2025-02-23 03:35:12 | exoskeletal | 3 | 121633 | 7 | 21.533 | 5648.7 |
| 365 | 2025-02-15 15:04:48 | exoskeletal | 4 | 148819 | 8 | 50.970 | 2919.7 |
| 364 | 2025-02-15 14:06:46 | exoskeletal | 1 | 49908 | 1 | 3.903 | 12787.1 |
| 363 | 2025-01-30 11:03:13 | exoskeletal | 3 | 121633 | 7 | 28.486 | 4269.9 |
| 362 | 2025-01-30 11:03:17 | exoskeletal | 2 | 86808 | 3 | 7.513 | 11554.4 |
| 361 | 2025-01-27 14:18:57 | exoskeletal | 4 | 148819 | 8 | 61.510 | 2419.4 |
| 360 | 2025-01-27 14:19:14 | exoskeletal | 2 | 86808 | 3 | 17.083 | 5081.5 |
| 359 | 2025-01-27 13:51:17 | exoskeletal | 1 | 49908 | 1 | 4.750 | 10506.9 |
| 358 | 2025-01-23 02:15:37 | exoskeletal | 4 | 148819 | 8 | 44.410 | 3351.0 |
| 357 | 2025-01-22 11:47:26 | exoskeletal | 2 | 86808 | 3 | 17.250 | 5032.3 |
| 356 | 2025-01-20 20:20:52 | exoskeletal | 4 | 148819 | 8 | 46.656 | 3189.7 |
| 355 | 2025-01-20 20:19:00 | exoskeletal | 1 | 49908 | 1 | 1.673 | 29831.4 |
| 354 | 2025-01-11 05:54:46 | exoskeletal | 4 | 148819 | 8 | 39.046 | 3811.4 |
| 353 | 2025-01-11 05:54:43 | exoskeletal | 3 | 121633 | 7 | 25.206 | 4825.6 |
| 352 | 2025-01-11 05:54:35 | exoskeletal | 2 | 86808 | 3 | 13.250 | 6551.5 |
| 351 | 2025-01-04 08:10:06 | exoskeletal | 4 | 148819 | 8 | 45.546 | 3267.4 |
| 350 | 2025-01-04 08:09:55 | exoskeletal | 3 | 121633 | 7 | 16.923 | 7187.4 |
| 349 | 2024-12-25 05:47:47 | exoskeletal | 4 | 148819 | 8 | 45.503 | 3270.5 |
| 348 | 2024-12-25 05:47:44 | exoskeletal | 3 | 121633 | 7 | 21.986 | 5532.3 |
| 347 | 2024-12-23 13:47:56 | exoskeletal | 1 | 49908 | 1 | 1.013 | 49267.5 |
| 346 | 2024-12-22 00:35:48 | exoskeletal | 4 | 148819 | 8 | 57.706 | 2578.9 |
| 345 | 2024-12-17 05:30:31 | exoskeletal | 2 | 86808 | 3 | 13.126 | 6613.4 |
| 344 | 2024-12-16 19:14:39 | exoskeletal | 4 | 148819 | 8 | 45.720 | 3255.0 |
| 343 | 2024-12-16 02:54:49 | exoskeletal | 3 | 121633 | 7 | 23.313 | 5217.4 |
| 342 | 2024-12-16 02:54:58 | exoskeletal | 2 | 86808 | 3 | 11.626 | 7466.7 |
| 341 | 2024-12-16 02:52:31 | exoskeletal | 1 | 49908 | 1 | 6.376 | 7827.5 |
| 340 | 2024-12-16 01:54:28 | exoskeletal | 4 | 148819 | 8 | 46.253 | 3217.5 |
| 339 | 2024-12-07 22:39:03 | exoskeletal | 2 | 86808 | 3 | 3.623 | 23960.3 |
| 338 | 2024-12-07 22:38:57 | exoskeletal | 1 | 49908 | 1 | 1.656 | 30137.7 |
| 337 | 2024-11-30 21:53:06 | exoskeletal | 4 | 148819 | 8 | 42.000 | 3543.3 |
| 336 | 2024-11-30 21:53:06 | exoskeletal | 3 | 121633 | 7 | 21.016 | 5787.6 |
| 335 | 2024-11-29 17:17:30 | exoskeletal | 5 | 164607 | 18 | 70.236 | 2343.6 |
| 334 | 2024-11-19 19:27:10 | exoskeletal | 5 | 164607 | 18 | 75.660 | 2175.6 |
| 333 | 2024-11-16 10:30:57 | exoskeletal | 2 | 86808 | 3 | 10.843 | 8005.9 |
| 332 | 2024-11-16 10:15:53 | exoskeletal | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 331 | 2024-11-08 10:13:20 | exoskeletal | 1 | 49908 | 1 | 3.656 | 13651.0 |
| 330 | 2024-11-07 00:54:09 | exoskeletal | 5 | 164607 | 18 | 69.083 | 2382.7 |
| 329 | 2024-11-04 06:48:12 | exoskeletal | 5 | 164607 | 18 | 80.420 | 2046.8 |
| 328 | 2024-11-04 06:46:15 | exoskeletal | 4 | 148819 | 8 | 24.773 | 6007.3 |
| 327 | 2024-11-04 06:46:16 | exoskeletal | 3 | 121633 | 7 | 13.196 | 9217.4 |
| 326 | 2024-11-04 06:46:13 | exoskeletal | 2 | 86808 | 3 | 2.533 | 34270.8 |
| 325 | 2024-11-03 01:12:32 | exoskeletal | 3 | 121633 | 7 | 26.393 | 4608.5 |
| 324 | 2024-11-03 01:12:22 | exoskeletal | 3 | 121633 | 7 | 34.953 | 3479.9 |
| 323 | 2024-10-25 10:51:11 | exoskeletal | 4 | 148819 | 8 | 48.720 | 3054.6 |
| 322 | 2024-10-25 10:51:21 | exoskeletal | 3 | 121633 | 7 | 30.233 | 4023.2 |
| 321 | 2024-10-25 10:51:26 | exoskeletal | 2 | 86808 | 3 | 11.686 | 7428.4 |
| 320 | 2024-10-25 10:51:02 | exoskeletal | 4 | 148819 | 8 | 33.470 | 4446.3 |
| 319 | 2024-10-25 10:46:20 | exoskeletal | 1 | 49908 | 1 | 1.296 | 38509.3 |
| 318 | 2024-10-24 08:58:51 | exoskeletal | 3 | 121633 | 7 | 22.876 | 5317.1 |
| 317 | 2024-10-24 08:58:45 | exoskeletal | 3 | 121633 | 7 | 12.830 | 9480.4 |
| 316 | 2024-10-10 00:11:10 | exoskeletal | 1 | 49908 | 1 | 5.673 | 8797.5 |
| 315 | 2024-10-08 22:19:54 | exoskeletal | 1 | 49908 | 1 | 2.536 | 19679.8 |
| 314 | 2024-10-05 21:01:34 | exoskeletal | 1 | 49908 | 1 | 3.766 | 13252.3 |
| 313 | 2024-10-03 12:06:26 | exoskeletal | 3 | 121633 | 7 | 45.220 | 2689.8 |
| 312 | 2024-10-03 12:06:14 | exoskeletal | 3 | 121633 | 7 | 49.333 | 2465.6 |
| 311 | 2024-09-21 03:41:12 | exoskeletal | 1 | 49908 | 1 | 5.800 | 8604.8 |
| 310 | 2024-09-20 22:42:01 | exoskeletal | 3 | 121633 | 7 | 45.643 | 2664.9 |
| 309 | 2024-09-20 22:42:12 | exoskeletal | 3 | 121633 | 7 | 33.563 | 3624.0 |
| 308 | 2024-09-20 15:37:47 | exoskeletal | 4 | 148819 | 8 | 62.930 | 2364.8 |
| 307 | 2024-09-20 15:37:38 | exoskeletal | 3 | 121633 | 7 | 31.050 | 3917.3 |
| 306 | 2024-09-15 03:39:48 | exoskeletal | 4 | 148819 | 8 | 69.206 | 2150.4 |
| 305 | 2024-09-15 03:39:47 | exoskeletal | 3 | 121633 | 7 | 21.393 | 5685.6 |
| 304 | 2024-08-25 04:42:03 | exoskeletal | 1 | 49908 | 1 | 3.500 | 14259.4 |
| 303 | 2024-08-18 17:22:07 | exoskeletal | 1 | 49908 | 1 | 5.766 | 8655.6 |
| 302 | 2024-08-07 17:43:18 | exoskeletal | 1 | 49908 | 1 | 4.360 | 11446.8 |
| 301 | 2024-08-07 17:33:27 | exoskeletal | 1 | 49908 | 1 | 1.860 | 26832.3 |
| 300 | 2024-08-04 23:50:38 | exoskeletal | 1 | 49908 | 1 | 4.216 | 11837.8 |
| 299 | 2024-08-04 13:09:38 | exoskeletal | 4 | 148819 | 8 | 41.770 | 3562.8 |
| 298 | 2024-08-04 13:09:19 | exoskeletal | 4 | 148819 | 8 | 42.613 | 3492.3 |
| 297 | 2024-08-04 13:09:35 | exoskeletal | 3 | 121633 | 7 | 19.296 | 6303.5 |
| 296 | 2024-08-04 13:09:33 | exoskeletal | 2 | 86808 | 3 | 8.156 | 10643.5 |
| 295 | 2024-07-31 06:18:12 | exoskeletal | 4 | 148819 | 8 | 40.783 | 3649.0 |
| 294 | 2024-07-31 06:17:05 | exoskeletal | 4 | 148819 | 8 | 34.300 | 4338.7 |
| 293 | 2024-07-29 19:04:34 | exoskeletal | 1 | 49908 | 1 | 3.890 | 12829.8 |
| 292 | 2024-07-17 03:05:48 | exoskeletal | 4 | 148819 | 8 | 49.283 | 3019.7 |
| 291 | 2024-07-17 03:05:54 | exoskeletal | 3 | 121633 | 7 | 18.126 | 6710.4 |
| 290 | 2024-07-17 03:05:54 | exoskeletal | 2 | 86808 | 3 | 13.096 | 6628.6 |
| 289 | 2024-07-17 03:01:41 | exoskeletal | 1 | 49908 | 1 | 2.220 | 22481.1 |
| 288 | 2024-07-16 11:49:27 | exoskeletal | 4 | 148819 | 8 | 41.893 | 3552.4 |
| 287 | 2024-07-14 14:35:52 | exoskeletal | 1 | 49908 | 1 | 2.673 | 18671.2 |
| 286 | 2024-07-14 12:08:45 | exoskeletal | 5 | 164607 | 18 | 63.863 | 2577.5 |
| 285 | 2024-07-14 12:08:36 | exoskeletal | 4 | 148819 | 8 | 48.253 | 3084.1 |
| 284 | 2024-07-14 12:08:40 | exoskeletal | 3 | 121633 | 7 | 19.486 | 6242.1 |
| 283 | 2024-07-14 12:08:37 | exoskeletal | 2 | 86808 | 3 | 7.843 | 11068.2 |
| 282 | 2024-07-10 11:51:53 | exoskeletal | 5 | 164607 | 18 | 33.986 | 4843.4 |