History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mobility"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 428 | 2025-09-28 04:12:28 | mobility | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 427 | 2025-09-20 02:37:01 | mobility | 1 | 82945 | 3 | 1.296 | 64000.8 |
| 426 | 2025-09-17 22:05:10 | mobility | 1 | 82945 | 3 | 3.326 | 24938.4 |
| 425 | 2025-09-14 11:59:33 | mobility | 3 | 146162 | 93 | 7.550 | 19359.2 |
| 424 | 2025-09-12 21:27:58 | mobility | 2 | 121059 | 17 | 3.716 | 32577.8 |
| 423 | 2025-09-03 10:15:45 | mobility | 1 | 82945 | 3 | 1.296 | 64000.8 |
| 422 | 2025-09-03 07:12:28 | mobility | 1 | 82945 | 3 | 7.173 | 11563.5 |
| 421 | 2025-08-25 14:14:22 | mobility | 1 | 82945 | 3 | 7.110 | 11666.0 |
| 420 | 2025-08-09 05:05:09 | mobility | 1 | 82945 | 3 | 8.876 | 9344.9 |
| 419 | 2025-08-05 04:50:17 | mobility | 1 | 82945 | 3 | 3.563 | 23279.5 |
| 418 | 2025-07-27 20:57:18 | mobility | 4 | 161609 | 583 | 37.560 | 4302.7 |
| 417 | 2025-07-27 10:45:21 | mobility | 4 | 161609 | 583 | 81.693 | 1978.2 |
| 416 | 2025-07-27 05:23:04 | mobility | 4 | 161609 | 583 | 50.910 | 3174.4 |
| 415 | 2025-07-26 01:52:53 | mobility | 4 | 161609 | 583 | 17.816 | 9071.0 |
| 414 | 2025-07-25 02:44:31 | mobility | 1 | 82945 | 3 | 8.466 | 9797.4 |
| 413 | 2025-07-24 04:07:55 | mobility | 1 | 82945 | 3 | 3.310 | 25058.9 |
| 412 | 2025-07-23 23:29:08 | mobility | 1 | 82945 | 3 | 9.453 | 8774.5 |
| 411 | 2025-07-23 19:41:12 | mobility | 1 | 82945 | 3 | 4.703 | 17636.6 |
| 410 | 2025-07-23 08:09:03 | mobility | 1 | 82945 | 3 | 6.656 | 12461.7 |
| 409 | 2025-07-23 00:37:13 | mobility | 1 | 82945 | 3 | 6.360 | 13041.7 |
| 408 | 2025-07-19 11:56:51 | mobility | 1 | 82945 | 3 | 1.436 | 57761.1 |
| 407 | 2025-07-09 03:13:04 | mobility | 1 | 82945 | 3 | 3.610 | 22976.5 |
| 406 | 2025-07-07 10:50:08 | mobility | 1 | 82945 | 3 | 10.220 | 8115.9 |
| 405 | 2025-07-07 05:05:24 | mobility | 2 | 121059 | 17 | 13.783 | 8783.2 |
| 404 | 2025-07-04 02:49:04 | mobility | 1 | 82945 | 3 | 3.766 | 22024.7 |
| 403 | 2025-06-26 05:37:25 | mobility | 3 | 146162 | 93 | 26.143 | 5590.9 |
| 402 | 2025-06-22 03:46:49 | mobility | 4 | 161609 | 583 | 32.956 | 4903.8 |
| 401 | 2025-06-20 10:41:42 | mobility | 4 | 161609 | 583 | 11.656 | 13864.9 |
| 400 | 2025-06-20 04:39:05 | mobility | 3 | 146162 | 93 | 28.233 | 5177.0 |
| 399 | 2025-06-20 03:17:10 | mobility | 3 | 146162 | 93 | 39.190 | 3729.6 |
| 398 | 2025-06-18 22:56:48 | mobility | 1 | 82945 | 3 | 10.203 | 8129.5 |
| 397 | 2025-06-18 09:44:20 | mobility | 3 | 146162 | 93 | 53.516 | 2731.2 |
| 396 | 2025-06-18 03:51:39 | mobility | 1 | 82945 | 3 | 5.953 | 13933.3 |
| 395 | 2025-06-16 07:28:28 | mobility | 2 | 121059 | 17 | 17.343 | 6980.3 |
| 394 | 2025-06-16 01:47:05 | mobility | 3 | 146162 | 93 | 28.800 | 5075.1 |
| 393 | 2025-06-15 13:47:19 | mobility | 1 | 82945 | 3 | 1.420 | 58412.0 |
| 392 | 2025-06-14 10:10:50 | mobility | 4 | 161609 | 583 | 72.866 | 2217.9 |
| 391 | 2025-06-14 01:57:41 | mobility | 4 | 161609 | 583 | 62.973 | 2566.3 |
| 390 | 2025-06-12 06:52:50 | mobility | 4 | 161609 | 583 | 60.393 | 2676.0 |
| 389 | 2025-06-09 02:51:03 | mobility | 4 | 161609 | 583 | 12.280 | 13160.3 |
| 388 | 2025-05-29 03:07:57 | mobility | 2 | 121059 | 17 | 14.076 | 8600.4 |
| 387 | 2025-05-26 04:30:08 | mobility | 2 | 121059 | 17 | 14.796 | 8181.9 |
| 386 | 2025-05-24 03:26:52 | mobility | 1 | 82945 | 3 | 6.970 | 11900.3 |
| 385 | 2025-05-16 14:04:53 | mobility | 1 | 82945 | 3 | 7.643 | 10852.4 |
| 384 | 2025-05-16 09:55:33 | mobility | 4 | 161609 | 583 | 40.816 | 3959.5 |
| 383 | 2025-05-14 10:14:29 | mobility | 4 | 161609 | 583 | 59.863 | 2699.6 |
| 382 | 2025-05-13 01:27:02 | mobility | 4 | 161609 | 583 | 12.970 | 12460.2 |
| 381 | 2025-05-12 07:00:20 | mobility | 4 | 161609 | 583 | 51.490 | 3138.6 |
| 380 | 2025-05-12 02:55:20 | mobility | 4 | 161609 | 583 | 33.003 | 4896.8 |
| 379 | 2025-05-09 23:20:52 | mobility | 1 | 82945 | 3 | 7.923 | 10468.9 |
| 378 | 2025-05-09 21:33:30 | mobility | 4 | 161609 | 583 | 41.736 | 3872.2 |
| 377 | 2025-04-25 17:23:34 | mobility | 3 | 146162 | 93 | 7.080 | 20644.4 |
| 376 | 2025-04-24 07:17:19 | mobility | 3 | 146162 | 93 | 38.046 | 3841.7 |
| 375 | 2025-04-23 05:17:15 | mobility | 3 | 146162 | 93 | 34.406 | 4248.2 |
| 374 | 2025-04-23 02:59:29 | mobility | 2 | 121059 | 17 | 16.346 | 7406.0 |
| 373 | 2025-04-23 02:59:13 | mobility | 1 | 82945 | 3 | 4.140 | 20035.0 |
| 372 | 2025-04-23 02:44:34 | mobility | 1 | 82945 | 3 | 7.296 | 11368.6 |
| 371 | 2025-04-21 03:42:33 | mobility | 3 | 146162 | 93 | 66.126 | 2210.4 |
| 370 | 2025-04-21 03:07:08 | mobility | 2 | 121059 | 17 | 18.500 | 6543.7 |
| 369 | 2025-04-18 07:04:04 | mobility | 2 | 121059 | 17 | 9.046 | 13382.6 |
| 368 | 2025-04-18 00:47:15 | mobility | 3 | 146162 | 93 | 38.250 | 3821.2 |
| 367 | 2025-04-16 04:36:03 | mobility | 1 | 82945 | 3 | 3.220 | 25759.3 |
| 366 | 2025-04-15 15:50:49 | mobility | 3 | 146162 | 93 | 7.186 | 20339.8 |
| 365 | 2025-04-14 21:40:22 | mobility | 2 | 121059 | 17 | 8.673 | 13958.1 |
| 364 | 2025-04-14 13:33:50 | mobility | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 363 | 2025-04-09 03:14:00 | mobility | 4 | 161609 | 583 | 66.110 | 2444.5 |
| 362 | 2025-04-09 01:46:34 | mobility | 4 | 161609 | 583 | 68.910 | 2345.2 |
| 361 | 2025-04-05 09:17:43 | mobility | 4 | 161609 | 583 | 59.156 | 2731.9 |
| 360 | 2025-04-05 06:36:48 | mobility | 4 | 161609 | 583 | 29.253 | 5524.5 |
| 359 | 2025-04-03 18:13:29 | mobility | 4 | 161609 | 583 | 12.516 | 12912.2 |
| 358 | 2025-04-02 13:45:16 | mobility | 1 | 82945 | 3 | 5.656 | 14665.0 |
| 357 | 2025-03-25 04:09:50 | mobility | 2 | 121059 | 17 | 13.486 | 8976.6 |
| 356 | 2025-03-23 04:39:03 | mobility | 2 | 121059 | 17 | 22.656 | 5343.4 |
| 355 | 2025-03-22 04:04:45 | mobility | 1 | 82945 | 3 | 4.486 | 18489.7 |
| 354 | 2025-03-21 03:42:55 | mobility | 1 | 82945 | 3 | 6.470 | 12819.9 |
| 353 | 2025-03-18 11:17:05 | mobility | 4 | 161609 | 583 | 62.283 | 2594.8 |
| 352 | 2025-03-16 15:32:39 | mobility | 1 | 82945 | 3 | 5.906 | 14044.2 |
| 351 | 2025-03-12 14:45:00 | mobility | 1 | 82945 | 3 | 3.890 | 21322.6 |
| 350 | 2025-03-10 23:59:43 | mobility | 4 | 161609 | 583 | 75.817 | 2131.6 |
| 349 | 2025-03-08 09:33:30 | mobility | 4 | 161609 | 583 | 83.880 | 1926.7 |
| 348 | 2025-03-08 05:19:17 | mobility | 4 | 161609 | 583 | 74.930 | 2156.8 |
| 347 | 2025-03-03 22:20:42 | mobility | 4 | 161609 | 583 | 71.423 | 2262.7 |
| 346 | 2025-03-03 09:46:36 | mobility | 1 | 82945 | 3 | 4.000 | 20736.3 |
| 345 | 2025-02-28 05:54:30 | mobility | 4 | 161609 | 583 | 76.753 | 2105.6 |
| 344 | 2025-02-08 15:24:13 | mobility | 1 | 82945 | 3 | 5.470 | 15163.6 |
| 343 | 2025-02-04 13:55:03 | mobility | 4 | 161609 | 583 | 51.456 | 3140.7 |
| 342 | 2025-02-04 13:09:40 | mobility | 4 | 161609 | 583 | 50.190 | 3219.9 |
| 341 | 2025-02-04 13:07:57 | mobility | 4 | 161609 | 583 | 18.360 | 8802.2 |
| 340 | 2025-02-04 13:07:23 | mobility | 2 | 121059 | 17 | 6.906 | 17529.5 |
| 339 | 2025-02-04 03:49:13 | mobility | 1 | 82945 | 3 | 3.733 | 22219.4 |
| 338 | 2025-02-01 10:42:43 | mobility | 3 | 146162 | 93 | 7.796 | 18748.3 |
| 337 | 2025-02-01 10:42:44 | mobility | 2 | 121059 | 17 | 3.910 | 30961.4 |
| 336 | 2025-01-30 18:34:58 | mobility | 3 | 146162 | 93 | 39.803 | 3672.1 |
| 335 | 2025-01-27 19:35:59 | mobility | 3 | 146162 | 93 | 47.753 | 3060.8 |
| 334 | 2025-01-26 17:33:13 | mobility | 3 | 146162 | 93 | 34.956 | 4181.3 |
| 333 | 2025-01-26 11:56:14 | mobility | 3 | 146162 | 93 | 6.860 | 21306.4 |
| 332 | 2025-01-24 14:28:20 | mobility | 3 | 146162 | 93 | 35.406 | 4128.2 |
| 331 | 2025-01-24 14:28:22 | mobility | 2 | 121059 | 17 | 16.516 | 7329.8 |
| 330 | 2025-01-24 14:28:06 | mobility | 1 | 82945 | 3 | 5.703 | 14544.1 |
| 329 | 2025-01-19 00:07:38 | mobility | 1 | 82945 | 3 | 10.190 | 8139.8 |