History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weariest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
554 | 2025-09-15 07:33:53 | weariest | 3 | 146162 | 388 | 7.233 | 20207.7 |
553 | 2025-09-14 10:23:42 | weariest | 2 | 121059 | 69 | 3.343 | 36212.7 |
552 | 2025-09-08 23:33:47 | weariest | 1 | 82945 | 5 | 1.406 | 58993.6 |
551 | 2025-09-08 10:50:32 | weariest | 1 | 82945 | 5 | 1.466 | 56579.1 |
550 | 2025-09-03 05:41:31 | weariest | 2 | 121059 | 69 | 3.703 | 32692.1 |
549 | 2025-09-02 21:24:37 | weariest | 3 | 146162 | 388 | 7.326 | 19951.1 |
548 | 2025-09-02 20:40:56 | weariest | 1 | 82945 | 5 | 1.453 | 57085.3 |
547 | 2025-09-02 08:48:33 | weariest | 1 | 82945 | 5 | 2.436 | 34049.7 |
546 | 2025-08-28 18:05:50 | weariest | 1 | 82945 | 5 | 1.313 | 63172.1 |
545 | 2025-08-19 10:36:30 | weariest | 1 | 82945 | 5 | 3.500 | 23698.6 |
544 | 2025-08-14 08:36:15 | weariest | 1 | 82945 | 5 | 1.500 | 55296.7 |
543 | 2025-08-06 05:43:14 | weariest | 2 | 121059 | 69 | 14.876 | 8137.9 |
542 | 2025-08-04 15:54:16 | weariest | 1 | 82945 | 5 | 3.390 | 24467.6 |
541 | 2025-08-03 20:41:09 | weariest | 1 | 82945 | 5 | 8.593 | 9652.6 |
540 | 2025-08-02 20:05:23 | weariest | 1 | 82945 | 5 | 10.220 | 8115.9 |
539 | 2025-08-02 07:55:50 | weariest | 2 | 121059 | 69 | 17.016 | 7114.4 |
538 | 2025-08-02 07:55:53 | weariest | 2 | 121059 | 69 | 12.953 | 9346.0 |
537 | 2025-08-01 07:13:01 | weariest | 1 | 82945 | 5 | 6.906 | 12010.6 |
536 | 2025-07-31 16:41:43 | weariest | 2 | 121059 | 69 | 3.546 | 34139.6 |
535 | 2025-07-30 06:44:11 | weariest | 2 | 121059 | 69 | 10.623 | 11395.9 |
534 | 2025-07-30 05:20:51 | weariest | 1 | 82945 | 5 | 3.530 | 23497.2 |
533 | 2025-07-29 08:16:21 | weariest | 1 | 82945 | 5 | 6.533 | 12696.3 |
532 | 2025-07-24 06:19:52 | weariest | 3 | 146162 | 388 | 41.846 | 3492.9 |
531 | 2025-07-22 07:24:40 | weariest | 1 | 82945 | 5 | 3.516 | 23590.7 |
530 | 2025-07-21 02:16:40 | weariest | 3 | 146162 | 388 | 7.923 | 18447.8 |
529 | 2025-07-19 05:58:25 | weariest | 1 | 82945 | 5 | 1.403 | 59119.7 |
528 | 2025-07-16 10:17:34 | weariest | 2 | 121059 | 69 | 19.750 | 6129.6 |
527 | 2025-07-15 07:35:03 | weariest | 1 | 82945 | 5 | 6.576 | 12613.3 |
526 | 2025-07-14 23:13:19 | weariest | 2 | 121059 | 69 | 24.580 | 4925.1 |
525 | 2025-07-13 07:10:49 | weariest | 1 | 82945 | 5 | 1.513 | 54821.5 |
524 | 2025-07-12 12:55:53 | weariest | 1 | 82945 | 5 | 1.326 | 62552.8 |
523 | 2025-07-04 11:09:04 | weariest | 1 | 82945 | 5 | 6.250 | 13271.2 |
522 | 2025-07-03 04:20:45 | weariest | 1 | 82945 | 5 | 7.220 | 11488.2 |
521 | 2025-07-03 01:15:38 | weariest | 3 | 146162 | 388 | 30.753 | 4752.8 |
520 | 2025-07-02 03:15:56 | weariest | 3 | 146162 | 388 | 39.920 | 3661.4 |
519 | 2025-07-01 01:42:51 | weariest | 1 | 82945 | 5 | 1.393 | 59544.1 |
518 | 2025-06-29 20:50:52 | weariest | 3 | 146162 | 388 | 27.876 | 5243.3 |
517 | 2025-06-29 19:49:40 | weariest | 1 | 82945 | 5 | 10.563 | 7852.4 |
516 | 2025-06-29 16:13:23 | weariest | 1 | 82945 | 5 | 2.796 | 29665.6 |
515 | 2025-06-28 04:48:18 | weariest | 1 | 82945 | 5 | 5.030 | 16490.1 |
514 | 2025-06-26 21:19:50 | weariest | 3 | 146162 | 388 | 59.970 | 2437.3 |
513 | 2025-06-24 04:39:26 | weariest | 1 | 82945 | 5 | 7.436 | 11154.5 |
512 | 2025-06-22 11:19:40 | weariest | 3 | 146162 | 388 | 50.956 | 2868.4 |
511 | 2025-06-22 04:42:46 | weariest | 1 | 82945 | 5 | 9.953 | 8333.7 |
510 | 2025-06-21 09:50:24 | weariest | 1 | 82945 | 5 | 6.643 | 12486.1 |
509 | 2025-06-20 06:36:18 | weariest | 3 | 146162 | 388 | 42.783 | 3416.4 |
508 | 2025-06-17 23:45:31 | weariest | 3 | 146162 | 388 | 35.113 | 4162.6 |
507 | 2025-06-16 18:36:06 | weariest | 1 | 82945 | 5 | 5.733 | 14468.0 |
506 | 2025-06-16 09:17:11 | weariest | 2 | 121059 | 69 | 19.850 | 6098.7 |
505 | 2025-06-16 05:15:34 | weariest | 3 | 146162 | 388 | 50.423 | 2898.7 |
504 | 2025-06-15 19:59:19 | weariest | 2 | 121059 | 69 | 23.203 | 5217.4 |
503 | 2025-06-15 06:40:35 | weariest | 1 | 82945 | 5 | 7.360 | 11269.7 |
502 | 2025-06-12 07:20:51 | weariest | 1 | 82945 | 5 | 7.330 | 11315.8 |
501 | 2025-06-11 08:58:39 | weariest | 1 | 82945 | 5 | 10.000 | 8294.5 |
500 | 2025-06-10 22:28:27 | weariest | 1 | 82945 | 5 | 5.873 | 14123.1 |
499 | 2025-06-10 09:37:03 | weariest | 1 | 82945 | 5 | 6.860 | 12091.1 |
498 | 2025-06-09 00:52:19 | weariest | 2 | 121059 | 69 | 4.796 | 25241.7 |
497 | 2025-06-07 10:54:21 | weariest | 1 | 82945 | 5 | 4.703 | 17636.6 |
496 | 2025-06-07 03:15:16 | weariest | 2 | 121059 | 69 | 18.266 | 6627.6 |
495 | 2025-06-05 22:03:32 | weariest | 1 | 82945 | 5 | 5.560 | 14918.2 |
494 | 2025-06-04 23:50:12 | weariest | 2 | 121059 | 69 | 18.736 | 6461.3 |
493 | 2025-06-04 13:23:54 | weariest | 1 | 82945 | 5 | 7.236 | 11462.8 |
492 | 2025-06-01 10:35:09 | weariest | 1 | 82945 | 5 | 1.563 | 53067.8 |
491 | 2025-05-31 09:12:24 | weariest | 1 | 82945 | 5 | 4.343 | 19098.5 |
490 | 2025-05-30 08:06:58 | weariest | 3 | 146162 | 388 | 26.283 | 5561.1 |
489 | 2025-05-28 20:38:05 | weariest | 3 | 146162 | 388 | 23.956 | 6101.3 |
488 | 2025-05-28 11:00:07 | weariest | 3 | 146162 | 388 | 26.160 | 5587.2 |
487 | 2025-05-27 16:38:02 | weariest | 1 | 82945 | 5 | 2.766 | 29987.3 |
486 | 2025-05-27 16:07:25 | weariest | 2 | 121059 | 69 | 15.983 | 7574.2 |
485 | 2025-05-26 23:45:15 | weariest | 3 | 146162 | 388 | 33.750 | 4330.7 |
484 | 2025-05-25 20:28:00 | weariest | 1 | 82945 | 5 | 1.360 | 60989.0 |
483 | 2025-05-19 23:23:30 | weariest | 2 | 121059 | 69 | 14.970 | 8086.8 |
482 | 2025-05-18 00:53:30 | weariest | 2 | 121059 | 69 | 9.893 | 12236.8 |
481 | 2025-05-16 03:16:27 | weariest | 3 | 146162 | 388 | 32.250 | 4532.2 |
480 | 2025-05-16 00:16:13 | weariest | 3 | 146162 | 388 | 27.660 | 5284.2 |
479 | 2025-05-15 23:43:29 | weariest | 2 | 121059 | 69 | 14.453 | 8376.0 |
478 | 2025-05-15 08:21:20 | weariest | 1 | 82945 | 5 | 1.313 | 63172.1 |
477 | 2025-05-14 08:37:28 | weariest | 2 | 121059 | 69 | 19.593 | 6178.7 |
476 | 2025-05-14 05:33:55 | weariest | 3 | 146162 | 388 | 24.706 | 5916.1 |
475 | 2025-05-13 06:42:28 | weariest | 1 | 82945 | 5 | 2.716 | 30539.4 |
474 | 2025-05-12 07:34:15 | weariest | 1 | 82945 | 5 | 6.953 | 11929.4 |
473 | 2025-05-03 22:25:04 | weariest | 1 | 82945 | 5 | 5.843 | 14195.6 |
472 | 2025-05-02 13:33:11 | weariest | 1 | 82945 | 5 | 7.326 | 11322.0 |
471 | 2025-04-29 00:55:30 | weariest | 2 | 121059 | 69 | 10.500 | 11529.4 |
470 | 2025-04-27 14:56:21 | weariest | 2 | 121059 | 69 | 6.330 | 19124.6 |
469 | 2025-04-27 11:11:33 | weariest | 3 | 146162 | 388 | 13.453 | 10864.6 |
468 | 2025-04-25 20:12:52 | weariest | 3 | 146162 | 388 | 41.783 | 3498.1 |
467 | 2025-04-25 19:36:57 | weariest | 1 | 82945 | 5 | 6.143 | 13502.4 |
466 | 2025-04-25 15:29:44 | weariest | 3 | 146162 | 388 | 42.143 | 3468.2 |
465 | 2025-04-23 02:49:49 | weariest | 3 | 146162 | 388 | 31.030 | 4710.3 |
464 | 2025-04-20 05:40:40 | weariest | 1 | 82945 | 5 | 4.983 | 16645.6 |
463 | 2025-04-20 03:55:24 | weariest | 1 | 82945 | 5 | 4.593 | 18059.0 |
462 | 2025-04-12 07:24:36 | weariest | 1 | 82945 | 5 | 3.393 | 24445.9 |
461 | 2025-04-11 07:35:28 | weariest | 1 | 82945 | 5 | 4.390 | 18894.1 |
460 | 2025-04-11 06:29:30 | weariest | 1 | 82945 | 5 | 6.813 | 12174.5 |
459 | 2025-04-02 12:09:12 | weariest | 1 | 82945 | 5 | 9.923 | 8358.9 |
458 | 2025-03-31 04:53:45 | weariest | 2 | 121059 | 69 | 13.733 | 8815.2 |
457 | 2025-03-28 22:56:48 | weariest | 3 | 146162 | 388 | 34.986 | 4177.7 |
456 | 2025-03-28 18:02:15 | weariest | 1 | 82945 | 5 | 1.373 | 60411.5 |
455 | 2025-03-27 17:45:47 | weariest | 2 | 121059 | 69 | 15.063 | 8036.8 |