History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"breeds"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
589 | 2025-08-31 09:11:09 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
588 | 2025-08-28 01:52:44 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
587 | 2025-08-25 02:27:40 | breeds | 1 | 48755 | 10 | 4.046 | 12050.2 |
586 | 2025-08-24 18:19:05 | breeds | 1 | 48755 | 10 | 2.670 | 18260.3 |
585 | 2025-08-21 12:39:09 | breeds | 2 | 82551 | 113 | 6.736 | 12255.2 |
584 | 2025-08-18 00:49:40 | breeds | 1 | 48755 | 10 | 0.856 | 56956.8 |
583 | 2025-08-16 02:44:34 | breeds | 2 | 82551 | 113 | 2.233 | 36968.7 |
582 | 2025-08-14 16:34:11 | breeds | 1 | 48755 | 10 | 0.826 | 59025.4 |
581 | 2025-08-07 22:44:02 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
580 | 2025-08-02 09:28:17 | breeds | 2 | 82551 | 113 | 5.236 | 15766.0 |
579 | 2025-08-01 15:54:03 | breeds | 1 | 48755 | 10 | 2.690 | 18124.5 |
578 | 2025-08-01 07:11:18 | breeds | 2 | 82551 | 113 | 17.890 | 4614.4 |
577 | 2025-08-01 05:54:06 | breeds | 1 | 48755 | 10 | 6.173 | 7898.1 |
576 | 2025-07-31 11:12:26 | breeds | 2 | 82551 | 113 | 12.013 | 6871.8 |
575 | 2025-07-24 02:57:14 | breeds | 1 | 48755 | 10 | 4.330 | 11259.8 |
574 | 2025-07-23 06:39:20 | breeds | 1 | 48755 | 10 | 2.296 | 21234.8 |
573 | 2025-07-22 17:48:05 | breeds | 1 | 48755 | 10 | 4.080 | 11949.8 |
572 | 2025-07-22 15:11:46 | breeds | 1 | 48755 | 10 | 4.860 | 10031.9 |
571 | 2025-07-22 06:54:53 | breeds | 2 | 82551 | 113 | 13.233 | 6238.3 |
570 | 2025-07-22 06:42:18 | breeds | 2 | 82551 | 113 | 13.360 | 6179.0 |
569 | 2025-07-22 05:19:25 | breeds | 1 | 48755 | 10 | 0.810 | 60191.4 |
568 | 2025-07-18 21:45:51 | breeds | 2 | 82551 | 113 | 7.546 | 10939.7 |
567 | 2025-07-18 21:03:56 | breeds | 2 | 82551 | 113 | 7.763 | 10633.9 |
566 | 2025-07-18 07:50:41 | breeds | 1 | 48755 | 10 | 2.580 | 18897.3 |
565 | 2025-07-17 09:00:39 | breeds | 2 | 82551 | 113 | 9.546 | 8647.7 |
564 | 2025-07-17 08:58:44 | breeds | 1 | 48755 | 10 | 2.080 | 23439.9 |
563 | 2025-07-13 04:59:59 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
562 | 2025-07-12 20:34:01 | breeds | 1 | 48755 | 10 | 1.470 | 33166.7 |
561 | 2025-07-12 05:12:23 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
560 | 2025-07-08 21:06:08 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
559 | 2025-07-05 04:16:41 | breeds | 1 | 48755 | 10 | 5.580 | 8737.5 |
558 | 2025-07-02 14:57:27 | breeds | 1 | 48755 | 10 | 1.940 | 25131.4 |
557 | 2025-06-30 00:04:47 | breeds | 2 | 82551 | 113 | 7.233 | 11413.1 |
556 | 2025-06-29 03:31:58 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
555 | 2025-06-28 23:04:26 | breeds | 1 | 48755 | 10 | 4.500 | 10834.4 |
554 | 2025-06-28 20:09:04 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
553 | 2025-06-28 04:20:20 | breeds | 2 | 82551 | 113 | 16.516 | 4998.2 |
552 | 2025-06-26 18:44:32 | breeds | 2 | 82551 | 113 | 16.126 | 5119.1 |
551 | 2025-06-21 07:03:08 | breeds | 1 | 48755 | 10 | 6.373 | 7650.2 |
550 | 2025-06-21 02:31:54 | breeds | 1 | 48755 | 10 | 2.736 | 17819.8 |
549 | 2025-06-19 08:00:50 | breeds | 2 | 82551 | 113 | 15.936 | 5180.2 |
548 | 2025-06-19 04:36:23 | breeds | 2 | 82551 | 113 | 12.860 | 6419.2 |
547 | 2025-06-13 22:26:56 | breeds | 2 | 82551 | 113 | 17.533 | 4708.3 |
546 | 2025-06-12 03:27:30 | breeds | 1 | 48755 | 10 | 5.876 | 8297.3 |
545 | 2025-06-12 01:34:37 | breeds | 1 | 48755 | 10 | 4.300 | 11338.4 |
544 | 2025-06-10 17:00:10 | breeds | 2 | 82551 | 113 | 14.906 | 5538.1 |
543 | 2025-06-10 14:12:24 | breeds | 2 | 82551 | 113 | 15.080 | 5474.2 |
542 | 2025-06-10 01:32:22 | breeds | 1 | 48755 | 10 | 2.376 | 20519.8 |
541 | 2025-06-08 16:53:44 | breeds | 2 | 82551 | 113 | 7.923 | 10419.2 |
540 | 2025-06-04 05:37:41 | breeds | 1 | 48755 | 10 | 1.843 | 26454.2 |
539 | 2025-06-02 13:54:58 | breeds | 1 | 48755 | 10 | 4.140 | 11776.6 |
538 | 2025-06-01 07:42:40 | breeds | 1 | 48755 | 10 | 1.750 | 27860.0 |
537 | 2025-05-29 23:05:03 | breeds | 2 | 82551 | 113 | 2.703 | 30540.5 |
536 | 2025-05-28 04:59:25 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
535 | 2025-05-28 02:32:57 | breeds | 1 | 48755 | 10 | 1.780 | 27390.4 |
534 | 2025-05-28 01:17:36 | breeds | 2 | 82551 | 113 | 2.296 | 35954.3 |
533 | 2025-05-26 11:47:01 | breeds | 2 | 82551 | 113 | 6.330 | 13041.2 |
532 | 2025-05-23 12:10:42 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
531 | 2025-05-23 02:00:35 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
530 | 2025-05-20 02:20:50 | breeds | 1 | 48755 | 10 | 2.720 | 17924.6 |
529 | 2025-05-12 04:10:58 | breeds | 1 | 48755 | 10 | 6.206 | 7856.1 |
528 | 2025-05-08 04:06:02 | breeds | 1 | 48755 | 10 | 3.156 | 15448.4 |
527 | 2025-05-04 05:39:44 | breeds | 1 | 48755 | 10 | 4.143 | 11768.0 |
526 | 2025-05-02 15:59:03 | breeds | 1 | 48755 | 10 | 5.686 | 8574.6 |
525 | 2025-05-02 13:56:20 | breeds | 1 | 48755 | 10 | 4.046 | 12050.2 |
524 | 2025-04-30 12:26:05 | breeds | 1 | 48755 | 10 | 4.360 | 11182.3 |
523 | 2025-04-30 02:08:46 | breeds | 1 | 48755 | 10 | 3.326 | 14658.7 |
522 | 2025-04-21 13:54:09 | breeds | 2 | 82551 | 113 | 16.436 | 5022.6 |
521 | 2025-04-20 03:35:31 | breeds | 2 | 82551 | 113 | 9.940 | 8304.9 |
520 | 2025-04-19 01:28:59 | breeds | 1 | 48755 | 10 | 0.920 | 52994.6 |
519 | 2025-04-18 15:45:07 | breeds | 2 | 82551 | 113 | 9.940 | 8304.9 |
518 | 2025-04-16 15:40:48 | breeds | 2 | 82551 | 113 | 13.423 | 6150.0 |
517 | 2025-04-11 04:07:10 | breeds | 1 | 48755 | 10 | 1.843 | 26454.2 |
516 | 2025-04-04 05:30:33 | breeds | 1 | 48755 | 10 | 2.470 | 19738.9 |
515 | 2025-03-31 16:16:02 | breeds | 1 | 48755 | 10 | 4.576 | 10654.5 |
514 | 2025-03-29 13:14:49 | breeds | 1 | 48755 | 10 | 2.330 | 20924.9 |
513 | 2025-03-29 03:34:21 | breeds | 1 | 48755 | 10 | 4.643 | 10500.8 |
512 | 2025-03-19 03:11:22 | breeds | 1 | 48755 | 10 | 0.720 | 67715.3 |
511 | 2025-03-17 13:57:51 | breeds | 1 | 48755 | 10 | 4.233 | 11517.8 |
510 | 2025-03-13 22:31:56 | breeds | 2 | 82551 | 113 | 6.783 | 12170.3 |
509 | 2025-03-13 20:31:42 | breeds | 2 | 82551 | 113 | 12.530 | 6588.3 |
508 | 2025-03-12 19:27:10 | breeds | 2 | 82551 | 113 | 15.983 | 5164.9 |
507 | 2025-03-12 16:05:25 | breeds | 1 | 48755 | 10 | 1.720 | 28345.9 |
506 | 2025-03-11 13:52:19 | breeds | 1 | 48755 | 10 | 1.860 | 26212.4 |
505 | 2025-03-11 00:28:22 | breeds | 1 | 48755 | 10 | 5.610 | 8690.7 |
504 | 2025-03-01 01:15:38 | breeds | 1 | 48755 | 10 | 2.826 | 17252.3 |
503 | 2025-02-27 17:43:43 | breeds | 1 | 48755 | 10 | 4.076 | 11961.5 |
502 | 2025-02-27 07:46:04 | breeds | 1 | 48755 | 10 | 5.046 | 9662.1 |
501 | 2025-02-25 06:43:13 | breeds | 1 | 48755 | 10 | 3.623 | 13457.1 |
500 | 2025-02-06 11:37:35 | breeds | 1 | 48755 | 10 | 6.203 | 7859.9 |
499 | 2025-01-28 10:58:11 | breeds | 1 | 48755 | 10 | 3.826 | 12743.1 |
498 | 2025-01-27 16:27:19 | breeds | 1 | 48755 | 10 | 6.076 | 8024.2 |
497 | 2025-01-16 02:39:25 | breeds | 1 | 48755 | 10 | 3.953 | 12333.7 |
496 | 2025-01-07 20:17:30 | breeds | 2 | 82551 | 113 | 7.156 | 11535.9 |
495 | 2025-01-06 17:57:51 | breeds | 2 | 82551 | 113 | 2.533 | 32590.2 |
494 | 2025-01-06 17:57:46 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
493 | 2024-12-29 03:29:35 | breeds | 1 | 48755 | 10 | 6.656 | 7325.0 |
492 | 2024-12-27 03:35:35 | breeds | 1 | 48755 | 10 | 4.640 | 10507.5 |
491 | 2024-12-10 00:31:07 | breeds | 2 | 82551 | 113 | 8.970 | 9203.0 |
490 | 2024-12-08 23:01:40 | breeds | 2 | 82551 | 113 | 2.140 | 38575.2 |