History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"collar"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
630 | 2025-06-19 14:33:32 | collar | 3 | 112716 | 670 | 5.903 | 19094.7 |
629 | 2025-06-16 03:51:04 | collar | 3 | 112716 | 670 | 26.220 | 4298.9 |
628 | 2025-06-15 18:23:16 | collar | 3 | 112716 | 670 | 6.706 | 16808.2 |
627 | 2025-06-14 11:30:51 | collar | 3 | 112716 | 670 | 26.936 | 4184.6 |
626 | 2025-06-13 10:29:48 | collar | 1 | 48755 | 5 | 4.313 | 11304.2 |
625 | 2025-06-12 14:04:10 | collar | 1 | 48755 | 5 | 3.766 | 12946.1 |
624 | 2025-06-12 01:42:30 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |
623 | 2025-06-01 22:28:13 | collar | 1 | 48755 | 5 | 3.626 | 13445.9 |
622 | 2025-05-25 07:46:33 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
621 | 2025-05-22 20:45:53 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
620 | 2025-05-16 09:19:32 | collar | 1 | 48755 | 5 | 2.203 | 22131.2 |
619 | 2025-05-13 10:18:48 | collar | 1 | 48755 | 5 | 3.750 | 13001.3 |
618 | 2025-05-13 03:03:58 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |
617 | 2025-05-12 01:27:32 | collar | 1 | 48755 | 5 | 3.733 | 13060.5 |
616 | 2025-05-07 10:31:58 | collar | 3 | 112716 | 670 | 5.296 | 21283.2 |
615 | 2025-04-30 22:15:19 | collar | 1 | 48755 | 5 | 2.263 | 21544.4 |
614 | 2025-04-27 11:05:28 | collar | 2 | 82551 | 72 | 2.406 | 34310.5 |
613 | 2025-04-27 05:28:00 | collar | 3 | 112716 | 670 | 4.763 | 23664.9 |
612 | 2025-04-20 04:51:08 | collar | 1 | 48755 | 5 | 3.623 | 13457.1 |
611 | 2025-04-19 09:28:49 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
610 | 2025-04-17 09:04:44 | collar | 2 | 82551 | 72 | 12.906 | 6396.3 |
609 | 2025-04-16 13:57:09 | collar | 3 | 112716 | 670 | 14.936 | 7546.6 |
608 | 2025-04-16 08:34:25 | collar | 3 | 112716 | 670 | 26.906 | 4189.3 |
607 | 2025-04-16 08:31:12 | collar | 2 | 82551 | 72 | 13.936 | 5923.6 |
606 | 2025-04-16 04:54:49 | collar | 3 | 112716 | 670 | 15.156 | 7437.1 |
605 | 2025-04-15 20:54:58 | collar | 3 | 112716 | 670 | 26.880 | 4193.3 |
604 | 2025-04-15 09:19:42 | collar | 2 | 82551 | 72 | 11.063 | 7461.9 |
603 | 2025-04-15 08:11:15 | collar | 1 | 48755 | 5 | 2.453 | 19875.7 |
602 | 2025-04-15 05:18:21 | collar | 3 | 112716 | 670 | 31.893 | 3534.2 |
601 | 2025-04-14 22:07:57 | collar | 3 | 112716 | 670 | 21.843 | 5160.3 |
600 | 2025-04-14 11:38:01 | collar | 3 | 112716 | 670 | 6.346 | 17761.7 |
599 | 2025-04-14 08:16:54 | collar | 2 | 82551 | 72 | 7.450 | 11080.7 |
598 | 2025-04-12 10:26:15 | collar | 1 | 48755 | 5 | 3.480 | 14010.1 |
597 | 2025-04-11 14:20:39 | collar | 1 | 48755 | 5 | 3.983 | 12240.8 |
596 | 2025-03-26 17:19:47 | collar | 3 | 112716 | 670 | 15.013 | 7507.9 |
595 | 2025-03-26 16:01:56 | collar | 1 | 48755 | 5 | 4.860 | 10031.9 |
594 | 2025-03-20 06:50:28 | collar | 1 | 48755 | 5 | 4.186 | 11647.2 |
593 | 2025-03-20 00:34:46 | collar | 1 | 48755 | 5 | 4.686 | 10404.4 |
592 | 2025-03-16 15:31:17 | collar | 3 | 112716 | 670 | 32.380 | 3481.0 |
591 | 2025-03-16 12:42:39 | collar | 3 | 112716 | 670 | 20.156 | 5592.2 |
590 | 2025-03-16 12:09:14 | collar | 3 | 112716 | 670 | 22.906 | 4920.8 |
589 | 2025-03-12 19:08:56 | collar | 3 | 112716 | 670 | 25.160 | 4480.0 |
588 | 2025-03-12 19:08:26 | collar | 2 | 82551 | 72 | 12.956 | 6371.6 |
587 | 2025-03-12 17:40:22 | collar | 3 | 112716 | 670 | 32.986 | 3417.1 |
586 | 2025-03-12 17:40:38 | collar | 1 | 48755 | 5 | 3.343 | 14584.2 |
585 | 2025-03-12 17:40:13 | collar | 2 | 82551 | 72 | 13.923 | 5929.1 |
584 | 2025-03-11 19:27:30 | collar | 1 | 48755 | 5 | 2.186 | 22303.3 |
583 | 2025-03-11 14:39:13 | collar | 1 | 48755 | 5 | 1.733 | 28133.3 |
582 | 2025-03-10 19:23:04 | collar | 1 | 48755 | 5 | 2.280 | 21383.8 |
581 | 2025-03-10 07:33:46 | collar | 1 | 48755 | 5 | 2.813 | 17332.0 |
580 | 2025-03-07 04:48:18 | collar | 1 | 48755 | 5 | 2.280 | 21383.8 |
579 | 2025-03-06 22:58:23 | collar | 1 | 48755 | 5 | 2.033 | 23981.8 |
578 | 2025-03-05 13:49:26 | collar | 3 | 112716 | 670 | 26.953 | 4181.9 |
577 | 2025-03-04 17:29:22 | collar | 3 | 112716 | 670 | 21.813 | 5167.4 |
576 | 2025-02-27 10:30:41 | collar | 1 | 48755 | 5 | 2.033 | 23981.8 |
575 | 2025-02-24 11:50:08 | collar | 1 | 48755 | 5 | 4.420 | 11030.5 |
574 | 2025-02-12 16:25:47 | collar | 2 | 82551 | 72 | 9.843 | 8386.8 |
573 | 2025-02-12 16:24:56 | collar | 3 | 112716 | 670 | 8.016 | 14061.4 |
572 | 2025-02-09 05:28:09 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
571 | 2025-02-08 18:39:13 | collar | 1 | 48755 | 5 | 2.000 | 24377.5 |
570 | 2025-02-07 19:41:22 | collar | 3 | 112716 | 670 | 21.923 | 5141.4 |
569 | 2025-02-07 11:21:44 | collar | 2 | 82551 | 72 | 21.456 | 3847.5 |
568 | 2025-02-07 11:19:22 | collar | 3 | 112716 | 670 | 42.823 | 2632.1 |
567 | 2025-02-07 08:04:12 | collar | 3 | 112716 | 670 | 33.096 | 3405.7 |
566 | 2025-02-07 07:52:55 | collar | 2 | 82551 | 72 | 4.550 | 18143.1 |
565 | 2025-02-07 07:51:35 | collar | 1 | 48755 | 5 | 0.826 | 59025.4 |
564 | 2025-01-09 14:36:28 | collar | 1 | 48755 | 5 | 2.420 | 20146.7 |
563 | 2025-01-05 23:25:08 | collar | 1 | 48755 | 5 | 0.873 | 55847.7 |
562 | 2025-01-01 22:43:21 | collar | 3 | 112716 | 670 | 42.250 | 2667.8 |
561 | 2024-12-31 17:11:50 | collar | 2 | 82551 | 72 | 7.233 | 11413.1 |
560 | 2024-12-30 15:06:21 | collar | 2 | 82551 | 72 | 12.390 | 6662.7 |
559 | 2024-12-27 08:03:00 | collar | 1 | 48755 | 5 | 2.503 | 19478.6 |
558 | 2024-12-17 00:35:58 | collar | 3 | 112716 | 670 | 33.033 | 3412.2 |
557 | 2024-12-14 20:18:00 | collar | 3 | 112716 | 670 | 27.473 | 4102.8 |
556 | 2024-12-14 16:00:13 | collar | 3 | 112716 | 670 | 5.690 | 19809.5 |
555 | 2024-12-13 17:45:25 | collar | 1 | 48755 | 5 | 2.453 | 19875.7 |
554 | 2024-12-12 08:02:40 | collar | 3 | 112716 | 670 | 27.673 | 4073.1 |
553 | 2024-12-11 19:01:45 | collar | 3 | 112716 | 670 | 31.080 | 3626.6 |
552 | 2024-12-11 11:26:27 | collar | 3 | 112716 | 670 | 17.893 | 6299.4 |
551 | 2024-12-10 06:45:22 | collar | 1 | 48755 | 5 | 6.200 | 7863.7 |
550 | 2024-11-11 01:51:19 | collar | 2 | 82551 | 72 | 12.860 | 6419.2 |
549 | 2024-11-10 20:46:27 | collar | 3 | 112716 | 670 | 17.923 | 6288.9 |
548 | 2024-11-10 19:04:00 | collar | 3 | 112716 | 670 | 29.310 | 3845.6 |
547 | 2024-11-10 19:03:59 | collar | 2 | 82551 | 72 | 12.860 | 6419.2 |
546 | 2024-11-10 18:56:27 | collar | 2 | 82551 | 72 | 13.250 | 6230.3 |
545 | 2024-11-10 16:27:53 | collar | 3 | 112716 | 670 | 11.640 | 9683.5 |
544 | 2024-11-10 05:20:50 | collar | 3 | 112716 | 670 | 28.330 | 3978.7 |
543 | 2024-11-10 05:20:52 | collar | 2 | 82551 | 72 | 19.016 | 4341.1 |
542 | 2024-11-09 21:12:22 | collar | 1 | 48755 | 5 | 4.170 | 11691.8 |
541 | 2024-11-09 20:54:38 | collar | 1 | 48755 | 5 | 3.830 | 12729.8 |
540 | 2024-11-03 21:47:04 | collar | 1 | 48755 | 5 | 1.890 | 25796.3 |
539 | 2024-10-27 10:34:33 | collar | 1 | 48755 | 5 | 5.596 | 8712.5 |
538 | 2024-10-25 15:26:03 | collar | 1 | 48755 | 5 | 9.223 | 5286.2 |
537 | 2024-10-20 21:11:49 | collar | 1 | 48755 | 5 | 6.063 | 8041.4 |
536 | 2024-10-10 05:05:59 | collar | 1 | 48755 | 5 | 4.030 | 12098.0 |
535 | 2024-10-09 05:22:28 | collar | 1 | 48755 | 5 | 3.843 | 12686.7 |
534 | 2024-10-04 02:54:40 | collar | 1 | 48755 | 5 | 3.940 | 12374.4 |
533 | 2024-09-27 02:12:20 | collar | 1 | 48755 | 5 | 3.640 | 13394.2 |
532 | 2024-09-10 01:24:35 | collar | 1 | 48755 | 5 | 4.393 | 11098.3 |
531 | 2024-09-10 01:24:30 | collar | 1 | 48755 | 5 | 4.640 | 10507.5 |