History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fattiness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
489 | 2025-07-28 21:37:12 | fattiness | 2 | 121436 | 34 | 9.156 | 13263.0 |
488 | 2025-07-25 22:07:02 | fattiness | 1 | 81242 | 5 | 1.390 | 58447.5 |
487 | 2025-07-24 13:13:08 | fattiness | 1 | 81242 | 5 | 9.873 | 8228.7 |
486 | 2025-07-21 05:28:45 | fattiness | 1 | 81242 | 5 | 1.453 | 55913.3 |
485 | 2025-07-17 09:22:37 | fattiness | 2 | 121436 | 34 | 7.970 | 15236.6 |
484 | 2025-07-14 15:09:47 | fattiness | 3 | 148641 | 242 | 18.080 | 8221.3 |
483 | 2025-07-14 11:57:32 | fattiness | 1 | 81242 | 5 | 6.766 | 12007.4 |
482 | 2025-07-11 00:58:43 | fattiness | 1 | 81242 | 5 | 3.220 | 25230.4 |
481 | 2025-07-10 11:52:14 | fattiness | 1 | 81242 | 5 | 6.343 | 12808.1 |
480 | 2025-07-10 02:46:01 | fattiness | 3 | 148641 | 242 | 38.453 | 3865.5 |
479 | 2025-07-08 11:06:23 | fattiness | 1 | 81242 | 5 | 10.063 | 8073.3 |
478 | 2025-07-06 19:54:16 | fattiness | 1 | 81242 | 5 | 1.390 | 58447.5 |
477 | 2025-07-04 04:00:16 | fattiness | 1 | 81242 | 5 | 6.203 | 13097.2 |
476 | 2025-06-24 14:55:02 | fattiness | 1 | 81242 | 5 | 3.550 | 22885.1 |
475 | 2025-06-20 03:01:28 | fattiness | 1 | 81242 | 5 | 10.876 | 7469.8 |
474 | 2025-06-13 18:28:14 | fattiness | 1 | 81242 | 5 | 1.250 | 64993.6 |
473 | 2025-06-10 09:57:52 | fattiness | 2 | 121436 | 34 | 18.220 | 6665.0 |
472 | 2025-06-10 09:32:30 | fattiness | 1 | 81242 | 5 | 5.106 | 15911.1 |
471 | 2025-06-08 13:57:51 | fattiness | 1 | 81242 | 5 | 9.640 | 8427.6 |
470 | 2025-06-08 01:13:26 | fattiness | 2 | 121436 | 34 | 12.033 | 10091.9 |
469 | 2025-06-06 12:17:43 | fattiness | 2 | 121436 | 34 | 17.703 | 6859.6 |
468 | 2025-05-27 22:01:26 | fattiness | 1 | 81242 | 5 | 1.423 | 57092.1 |
467 | 2025-05-24 14:22:41 | fattiness | 1 | 81242 | 5 | 3.610 | 22504.7 |
466 | 2025-05-23 15:33:10 | fattiness | 3 | 148641 | 242 | 34.833 | 4267.2 |
465 | 2025-05-23 14:28:50 | fattiness | 1 | 81242 | 5 | 6.763 | 12012.7 |
464 | 2025-05-14 00:12:38 | fattiness | 3 | 148641 | 242 | 52.596 | 2826.1 |
463 | 2025-05-12 22:39:22 | fattiness | 3 | 148641 | 242 | 7.296 | 20372.9 |
462 | 2025-05-08 14:56:28 | fattiness | 2 | 121436 | 34 | 16.640 | 7297.8 |
461 | 2025-05-07 02:17:32 | fattiness | 3 | 148641 | 242 | 17.783 | 8358.6 |
460 | 2025-05-06 10:57:40 | fattiness | 2 | 121436 | 34 | 18.873 | 6434.4 |
459 | 2025-05-05 07:13:09 | fattiness | 3 | 148641 | 242 | 30.830 | 4821.3 |
458 | 2025-05-05 01:25:48 | fattiness | 2 | 121436 | 34 | 4.030 | 30133.0 |
457 | 2025-05-04 13:03:08 | fattiness | 1 | 81242 | 5 | 6.906 | 11764.0 |
456 | 2025-05-04 10:17:46 | fattiness | 1 | 81242 | 5 | 7.656 | 10611.5 |
455 | 2025-05-02 22:25:53 | fattiness | 1 | 81242 | 5 | 8.283 | 9808.3 |
454 | 2025-05-02 09:45:05 | fattiness | 1 | 81242 | 5 | 3.610 | 22504.7 |
453 | 2025-05-02 00:19:45 | fattiness | 1 | 81242 | 5 | 9.890 | 8214.6 |
452 | 2025-04-23 18:22:53 | fattiness | 1 | 81242 | 5 | 1.486 | 54671.6 |
451 | 2025-04-14 13:50:39 | fattiness | 1 | 81242 | 5 | 2.966 | 27391.1 |
450 | 2025-04-07 08:41:13 | fattiness | 2 | 121436 | 34 | 11.860 | 10239.1 |
449 | 2025-04-04 10:06:27 | fattiness | 2 | 121436 | 34 | 18.186 | 6677.4 |
448 | 2025-04-02 12:26:46 | fattiness | 1 | 81242 | 5 | 9.393 | 8649.2 |
447 | 2025-04-02 09:38:49 | fattiness | 1 | 81242 | 5 | 10.046 | 8087.0 |
446 | 2025-04-02 08:42:26 | fattiness | 1 | 81242 | 5 | 10.516 | 7725.6 |
445 | 2025-04-02 08:37:04 | fattiness | 1 | 81242 | 5 | 6.563 | 12378.8 |
444 | 2025-03-14 12:29:02 | fattiness | 1 | 81242 | 5 | 1.203 | 67532.8 |
443 | 2025-03-13 19:09:58 | fattiness | 1 | 81242 | 5 | 9.733 | 8347.1 |
442 | 2025-03-13 17:38:29 | fattiness | 1 | 81242 | 5 | 6.516 | 12468.1 |
441 | 2025-03-03 15:02:06 | fattiness | 3 | 148641 | 242 | 44.343 | 3352.1 |
440 | 2025-03-03 05:28:16 | fattiness | 2 | 121436 | 34 | 18.126 | 6699.5 |
439 | 2025-03-03 05:24:23 | fattiness | 1 | 81242 | 5 | 7.656 | 10611.5 |
438 | 2025-03-01 07:31:33 | fattiness | 1 | 81242 | 5 | 6.563 | 12378.8 |
437 | 2025-02-27 20:46:51 | fattiness | 3 | 148641 | 242 | 42.816 | 3471.6 |
436 | 2025-02-27 20:46:49 | fattiness | 2 | 121436 | 34 | 9.593 | 12658.8 |
435 | 2025-02-27 20:24:59 | fattiness | 1 | 81242 | 5 | 1.436 | 56575.2 |
434 | 2025-02-06 10:47:46 | fattiness | 3 | 148641 | 242 | 46.823 | 3174.5 |
433 | 2025-02-06 01:46:40 | fattiness | 2 | 121436 | 34 | 22.610 | 5370.9 |
432 | 2025-02-06 00:03:40 | fattiness | 1 | 81242 | 5 | 2.076 | 39133.9 |
431 | 2025-02-04 23:54:12 | fattiness | 3 | 148641 | 242 | 30.123 | 4934.5 |
430 | 2025-01-31 15:05:24 | fattiness | 3 | 148641 | 242 | 28.203 | 5270.4 |
429 | 2025-01-29 20:59:02 | fattiness | 2 | 121436 | 34 | 18.580 | 6535.8 |
428 | 2025-01-29 19:44:29 | fattiness | 1 | 81242 | 5 | 6.873 | 11820.5 |
427 | 2025-01-28 03:43:06 | fattiness | 1 | 81242 | 5 | 5.126 | 15849.0 |
426 | 2025-01-26 06:09:12 | fattiness | 1 | 81242 | 5 | 1.420 | 57212.7 |
425 | 2025-01-23 09:32:46 | fattiness | 1 | 81242 | 5 | 3.626 | 22405.4 |
424 | 2025-01-06 02:45:15 | fattiness | 3 | 148641 | 242 | 45.236 | 3285.9 |
423 | 2025-01-04 13:45:02 | fattiness | 3 | 148641 | 242 | 43.080 | 3450.3 |
422 | 2025-01-04 09:21:05 | fattiness | 3 | 148641 | 242 | 37.160 | 4000.0 |
421 | 2025-01-04 09:20:55 | fattiness | 2 | 121436 | 34 | 16.520 | 7350.8 |
420 | 2025-01-04 00:57:05 | fattiness | 3 | 148641 | 242 | 44.813 | 3316.9 |
419 | 2025-01-04 00:57:09 | fattiness | 2 | 121436 | 34 | 19.546 | 6212.8 |
418 | 2025-01-04 00:54:43 | fattiness | 1 | 81242 | 5 | 2.610 | 31127.2 |
417 | 2024-12-30 11:33:33 | fattiness | 1 | 81242 | 5 | 6.703 | 12120.2 |
416 | 2024-12-24 11:02:11 | fattiness | 1 | 81242 | 5 | 5.140 | 15805.8 |
415 | 2024-11-30 12:53:17 | fattiness | 2 | 121436 | 34 | 13.546 | 8964.7 |
414 | 2024-11-30 12:52:34 | fattiness | 1 | 81242 | 5 | 5.626 | 14440.5 |
413 | 2024-11-29 21:08:53 | fattiness | 3 | 148641 | 242 | 32.533 | 4568.9 |
412 | 2024-11-28 23:10:02 | fattiness | 3 | 148641 | 242 | 36.906 | 4027.6 |
411 | 2024-11-28 18:57:11 | fattiness | 3 | 148641 | 242 | 36.190 | 4107.2 |
410 | 2024-11-28 18:57:13 | fattiness | 2 | 121436 | 34 | 16.426 | 7392.9 |
409 | 2024-11-28 18:37:26 | fattiness | 1 | 81242 | 5 | 5.933 | 13693.2 |
408 | 2024-11-23 11:34:33 | fattiness | 1 | 81242 | 5 | 8.330 | 9752.9 |
407 | 2024-11-19 10:59:39 | fattiness | 2 | 121436 | 34 | 8.906 | 13635.3 |
406 | 2024-11-18 14:54:55 | fattiness | 2 | 121436 | 34 | 17.590 | 6903.7 |
405 | 2024-11-18 14:54:13 | fattiness | 2 | 121436 | 34 | 17.500 | 6939.2 |
404 | 2024-11-18 14:51:45 | fattiness | 1 | 81242 | 5 | 2.046 | 39707.7 |
403 | 2024-10-30 16:09:33 | fattiness | 1 | 81242 | 5 | 5.783 | 14048.4 |
402 | 2024-10-28 03:41:06 | fattiness | 1 | 81242 | 5 | 9.516 | 8537.4 |
401 | 2024-10-21 19:17:52 | fattiness | 1 | 81242 | 5 | 3.906 | 20799.3 |
400 | 2024-10-15 15:06:44 | fattiness | 1 | 81242 | 5 | 2.406 | 33766.4 |
399 | 2024-09-27 14:33:48 | fattiness | 2 | 121436 | 34 | 37.080 | 3275.0 |
398 | 2024-09-24 09:46:23 | fattiness | 2 | 121436 | 34 | 13.690 | 8870.4 |
397 | 2024-09-20 19:04:05 | fattiness | 2 | 121436 | 34 | 22.970 | 5286.7 |
396 | 2024-09-20 08:43:06 | fattiness | 2 | 121436 | 34 | 33.033 | 3676.2 |
395 | 2024-09-20 07:27:26 | fattiness | 3 | 148641 | 242 | 40.930 | 3631.6 |
394 | 2024-09-19 12:41:23 | fattiness | 2 | 121436 | 34 | 27.283 | 4451.0 |
393 | 2024-09-19 12:34:22 | fattiness | 3 | 148641 | 242 | 78.423 | 1895.4 |
392 | 2024-09-19 12:34:09 | fattiness | 2 | 121436 | 34 | 37.300 | 3255.7 |
391 | 2024-09-19 12:32:36 | fattiness | 1 | 81242 | 5 | 10.140 | 8012.0 |
390 | 2024-09-05 22:01:45 | fattiness | 1 | 81242 | 5 | 9.453 | 8594.3 |