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 |
| 595 | 2026-02-03 07:15:49 | weariest | 1 | 82945 | 5 | 1.456 | 56967.7 |
| 594 | 2026-01-28 10:13:26 | weariest | 1 | 82945 | 5 | 1.440 | 57600.7 |
| 593 | 2026-01-21 21:39:32 | weariest | 1 | 82945 | 5 | 3.470 | 23903.5 |
| 592 | 2026-01-20 23:00:31 | weariest | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 591 | 2026-01-16 14:25:00 | weariest | 1 | 82945 | 5 | 3.250 | 25521.5 |
| 590 | 2026-01-15 05:49:50 | weariest | 1 | 82945 | 5 | 2.546 | 32578.6 |
| 589 | 2026-01-14 07:27:00 | weariest | 1 | 82945 | 5 | 1.643 | 50483.9 |
| 588 | 2026-01-10 02:51:41 | weariest | 1 | 82945 | 5 | 1.296 | 64000.8 |
| 587 | 2026-01-03 14:03:54 | weariest | 1 | 82945 | 5 | 2.343 | 35401.2 |
| 586 | 2025-12-28 09:12:40 | weariest | 1 | 82945 | 5 | 1.530 | 54212.4 |
| 585 | 2025-12-23 18:55:31 | weariest | 1 | 82945 | 5 | 1.343 | 61761.0 |
| 584 | 2025-12-22 19:13:35 | weariest | 1 | 82945 | 5 | 1.466 | 56579.1 |
| 583 | 2025-12-19 11:58:36 | weariest | 3 | 146162 | 388 | 23.580 | 6198.6 |
| 582 | 2025-12-18 11:55:06 | weariest | 1 | 82945 | 5 | 9.053 | 9162.2 |
| 581 | 2025-12-16 14:38:32 | weariest | 1 | 82945 | 5 | 1.530 | 54212.4 |
| 580 | 2025-12-16 07:21:31 | weariest | 1 | 82945 | 5 | 1.576 | 52630.1 |
| 579 | 2025-12-10 08:40:08 | weariest | 1 | 82945 | 5 | 1.486 | 55817.6 |
| 578 | 2025-12-06 03:27:24 | weariest | 1 | 82945 | 5 | 1.530 | 54212.4 |
| 577 | 2025-12-02 21:54:55 | weariest | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 576 | 2025-12-01 14:44:15 | weariest | 3 | 146162 | 388 | 15.000 | 9744.1 |
| 575 | 2025-11-30 19:07:42 | weariest | 3 | 146162 | 388 | 10.063 | 14524.7 |
| 574 | 2025-11-26 16:33:01 | weariest | 1 | 82945 | 5 | 2.703 | 30686.3 |
| 573 | 2025-11-20 21:52:50 | weariest | 1 | 82945 | 5 | 5.280 | 15709.3 |
| 572 | 2025-11-16 16:08:16 | weariest | 1 | 82945 | 5 | 3.013 | 27529.0 |
| 571 | 2025-11-14 06:40:16 | weariest | 1 | 82945 | 5 | 1.406 | 58993.6 |
| 570 | 2025-11-09 04:17:03 | weariest | 1 | 82945 | 5 | 1.546 | 53651.4 |
| 569 | 2025-11-02 21:30:51 | weariest | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 568 | 2025-10-27 23:43:39 | weariest | 1 | 82945 | 5 | 1.436 | 57761.1 |
| 567 | 2025-10-26 21:57:43 | weariest | 1 | 82945 | 5 | 1.390 | 59672.7 |
| 566 | 2025-10-26 20:15:15 | weariest | 1 | 82945 | 5 | 3.000 | 27648.3 |
| 565 | 2025-10-21 12:11:00 | weariest | 1 | 82945 | 5 | 9.843 | 8426.8 |
| 564 | 2025-10-21 12:10:46 | weariest | 1 | 82945 | 5 | 6.123 | 13546.5 |
| 563 | 2025-10-21 12:10:35 | weariest | 1 | 82945 | 5 | 6.233 | 13307.4 |
| 562 | 2025-10-21 12:10:27 | weariest | 1 | 82945 | 5 | 9.640 | 8604.3 |
| 561 | 2025-10-17 03:53:26 | weariest | 1 | 82945 | 5 | 1.450 | 57203.4 |
| 560 | 2025-10-11 01:48:00 | weariest | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 559 | 2025-10-09 09:41:56 | weariest | 3 | 146162 | 388 | 7.846 | 18628.9 |
| 558 | 2025-10-02 07:27:53 | weariest | 3 | 146162 | 388 | 7.500 | 19488.3 |
| 557 | 2025-09-29 16:41:45 | weariest | 1 | 82945 | 5 | 1.470 | 56425.2 |
| 556 | 2025-09-22 16:55:44 | weariest | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 555 | 2025-09-17 22:01:27 | weariest | 2 | 121059 | 69 | 4.000 | 30264.8 |
| 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 |