History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"chevalets"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
642 | 2025-08-26 20:13:41 | chevalets | 1 | 81242 | 2 | 1.330 | 61084.2 |
641 | 2025-08-25 15:33:11 | chevalets | 1 | 81242 | 2 | 6.720 | 12089.6 |
640 | 2025-08-11 16:38:26 | chevalets | 1 | 81242 | 2 | 2.313 | 35124.1 |
639 | 2025-07-24 09:05:25 | chevalets | 1 | 81242 | 2 | 6.266 | 12965.5 |
638 | 2025-07-22 23:54:49 | chevalets | 1 | 81242 | 2 | 6.296 | 12903.7 |
637 | 2025-07-19 21:40:08 | chevalets | 1 | 81242 | 2 | 1.250 | 64993.6 |
636 | 2025-07-18 22:36:06 | chevalets | 3 | 148641 | 30 | 7.233 | 20550.4 |
635 | 2025-07-04 14:07:29 | chevalets | 1 | 81242 | 2 | 4.486 | 18110.1 |
634 | 2025-07-01 20:51:28 | chevalets | 1 | 81242 | 2 | 4.390 | 18506.2 |
633 | 2025-06-29 10:40:49 | chevalets | 1 | 81242 | 2 | 1.250 | 64993.6 |
632 | 2025-06-27 13:43:46 | chevalets | 1 | 81242 | 2 | 6.593 | 12322.5 |
631 | 2025-06-25 06:03:46 | chevalets | 1 | 81242 | 2 | 10.533 | 7713.1 |
630 | 2025-06-20 22:49:14 | chevalets | 1 | 81242 | 2 | 3.810 | 21323.4 |
629 | 2025-06-19 13:36:52 | chevalets | 3 | 148641 | 30 | 22.720 | 6542.3 |
628 | 2025-06-12 09:52:22 | chevalets | 3 | 148641 | 30 | 39.940 | 3721.6 |
627 | 2025-05-20 20:56:41 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
626 | 2025-05-19 21:00:36 | chevalets | 1 | 81242 | 2 | 4.453 | 18244.3 |
625 | 2025-05-14 08:39:07 | chevalets | 3 | 148641 | 30 | 35.906 | 4139.7 |
624 | 2025-05-13 19:07:34 | chevalets | 2 | 121436 | 5 | 3.360 | 36141.7 |
623 | 2025-05-09 22:55:46 | chevalets | 1 | 81242 | 2 | 4.080 | 19912.3 |
622 | 2025-05-05 17:05:42 | chevalets | 1 | 81242 | 2 | 3.483 | 23325.3 |
621 | 2025-05-04 10:00:53 | chevalets | 1 | 81242 | 2 | 7.500 | 10832.3 |
620 | 2025-04-30 08:34:22 | chevalets | 4 | 165329 | 390 | 59.503 | 2778.5 |
619 | 2025-04-28 07:55:03 | chevalets | 4 | 165329 | 390 | 74.770 | 2211.2 |
618 | 2025-04-25 14:00:08 | chevalets | 4 | 165329 | 390 | 39.376 | 4198.7 |
617 | 2025-04-23 20:16:50 | chevalets | 4 | 165329 | 390 | 59.973 | 2756.7 |
616 | 2025-04-23 03:10:31 | chevalets | 2 | 121436 | 5 | 8.890 | 13659.8 |
615 | 2025-04-23 01:47:05 | chevalets | 1 | 81242 | 2 | 4.780 | 16996.2 |
614 | 2025-04-20 17:15:56 | chevalets | 3 | 148641 | 30 | 6.830 | 21763.0 |
613 | 2025-04-19 20:36:42 | chevalets | 3 | 148641 | 30 | 36.893 | 4029.0 |
612 | 2025-04-19 20:36:54 | chevalets | 2 | 121436 | 5 | 14.736 | 8240.8 |
611 | 2025-04-19 13:24:31 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
610 | 2025-04-14 23:52:48 | chevalets | 4 | 165329 | 390 | 65.350 | 2529.9 |
609 | 2025-03-28 21:48:03 | chevalets | 1 | 81242 | 2 | 6.313 | 12869.0 |
608 | 2025-03-27 15:06:46 | chevalets | 1 | 81242 | 2 | 4.843 | 16775.1 |
607 | 2025-03-27 11:50:22 | chevalets | 1 | 81242 | 2 | 3.173 | 25604.2 |
606 | 2025-03-26 09:48:25 | chevalets | 4 | 165329 | 390 | 76.220 | 2169.1 |
605 | 2025-03-23 11:19:27 | chevalets | 4 | 165329 | 390 | 50.033 | 3304.4 |
604 | 2025-03-22 10:00:12 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
603 | 2025-03-22 07:20:02 | chevalets | 4 | 165329 | 390 | 75.580 | 2187.5 |
602 | 2025-03-22 01:57:49 | chevalets | 2 | 121436 | 5 | 3.623 | 33518.1 |
601 | 2025-03-20 21:17:48 | chevalets | 3 | 148641 | 30 | 7.720 | 19254.0 |
600 | 2025-03-17 03:07:38 | chevalets | 3 | 148641 | 30 | 28.330 | 5246.8 |
599 | 2025-03-13 19:18:17 | chevalets | 1 | 81242 | 2 | 4.296 | 18911.1 |
598 | 2025-03-04 04:25:07 | chevalets | 1 | 81242 | 2 | 6.750 | 12035.9 |
597 | 2025-02-22 19:09:59 | chevalets | 3 | 148641 | 30 | 23.470 | 6333.2 |
596 | 2025-02-20 14:04:01 | chevalets | 3 | 148641 | 30 | 38.626 | 3848.2 |
595 | 2025-02-09 15:04:42 | chevalets | 1 | 81242 | 2 | 13.326 | 6096.5 |
594 | 2025-02-05 16:04:09 | chevalets | 3 | 148641 | 30 | 34.250 | 4339.9 |
593 | 2025-02-05 16:04:03 | chevalets | 2 | 121436 | 5 | 15.530 | 7819.4 |
592 | 2025-02-02 16:52:17 | chevalets | 3 | 148641 | 30 | 37.680 | 3944.8 |
591 | 2025-02-02 16:52:21 | chevalets | 3 | 148641 | 30 | 32.910 | 4516.6 |
590 | 2025-02-02 16:52:25 | chevalets | 2 | 121436 | 5 | 10.453 | 11617.3 |
589 | 2025-02-02 16:50:20 | chevalets | 1 | 81242 | 2 | 6.686 | 12151.1 |
588 | 2025-01-20 05:17:03 | chevalets | 1 | 81242 | 2 | 3.390 | 23965.2 |
587 | 2025-01-07 19:29:38 | chevalets | 3 | 148641 | 30 | 38.156 | 3895.6 |
586 | 2025-01-07 19:29:36 | chevalets | 3 | 148641 | 30 | 38.483 | 3862.5 |
585 | 2025-01-07 19:29:46 | chevalets | 2 | 121436 | 5 | 18.343 | 6620.3 |
584 | 2025-01-03 06:00:55 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
583 | 2024-12-30 22:26:48 | chevalets | 1 | 81242 | 2 | 1.393 | 58321.6 |
582 | 2024-12-11 13:56:47 | chevalets | 1 | 81242 | 2 | 7.720 | 10523.6 |
581 | 2024-11-13 04:13:18 | chevalets | 2 | 121436 | 5 | 12.563 | 9666.2 |
580 | 2024-11-13 04:10:27 | chevalets | 1 | 81242 | 2 | 4.106 | 19786.2 |
579 | 2024-11-08 10:42:58 | chevalets | 3 | 148641 | 30 | 34.580 | 4298.5 |
578 | 2024-11-07 16:07:35 | chevalets | 3 | 148641 | 30 | 61.410 | 2420.5 |
577 | 2024-11-04 16:09:10 | chevalets | 1 | 81242 | 2 | 3.080 | 26377.3 |
576 | 2024-11-04 05:10:27 | chevalets | 1 | 81242 | 2 | 6.470 | 12556.7 |
575 | 2024-11-03 17:18:02 | chevalets | 3 | 148641 | 30 | 34.000 | 4371.8 |
574 | 2024-10-29 12:32:54 | chevalets | 3 | 148641 | 30 | 40.876 | 3636.4 |
573 | 2024-10-29 12:32:58 | chevalets | 2 | 121436 | 5 | 17.876 | 6793.2 |
572 | 2024-10-15 23:59:42 | chevalets | 3 | 148641 | 30 | 35.534 | 4183.1 |
571 | 2024-10-11 01:39:23 | chevalets | 1 | 81242 | 2 | 8.326 | 9757.6 |
570 | 2024-10-08 03:27:29 | chevalets | 3 | 148641 | 30 | 54.533 | 2725.7 |
569 | 2024-10-07 16:58:42 | chevalets | 3 | 148641 | 30 | 59.830 | 2484.4 |
568 | 2024-10-07 07:45:01 | chevalets | 1 | 81242 | 2 | 12.266 | 6623.3 |
567 | 2024-09-27 20:59:02 | chevalets | 3 | 148641 | 30 | 49.920 | 2977.6 |
566 | 2024-09-24 09:47:19 | chevalets | 3 | 148641 | 30 | 52.503 | 2831.1 |
565 | 2024-09-20 14:34:36 | chevalets | 3 | 148641 | 30 | 27.813 | 5344.3 |
564 | 2024-09-16 08:27:40 | chevalets | 1 | 81242 | 2 | 4.580 | 17738.4 |
563 | 2024-08-14 07:11:13 | chevalets | 3 | 148641 | 30 | 60.830 | 2443.5 |
562 | 2024-08-12 05:08:45 | chevalets | 1 | 81242 | 2 | 6.233 | 13034.2 |
561 | 2024-08-11 16:32:32 | chevalets | 3 | 148641 | 30 | 48.503 | 3064.6 |
560 | 2024-08-10 17:04:57 | chevalets | 3 | 148641 | 30 | 28.516 | 5212.5 |
559 | 2024-08-10 17:05:00 | chevalets | 2 | 121436 | 5 | 6.923 | 17541.0 |
558 | 2024-08-10 17:04:31 | chevalets | 1 | 81242 | 2 | 2.250 | 36107.6 |
557 | 2024-08-10 16:43:44 | chevalets | 4 | 165329 | 390 | 36.610 | 4516.0 |
556 | 2024-08-10 07:53:42 | chevalets | 4 | 165329 | 390 | 97.040 | 1703.7 |
555 | 2024-08-10 06:19:17 | chevalets | 4 | 165329 | 390 | 56.223 | 2940.6 |
554 | 2024-08-10 04:43:25 | chevalets | 4 | 165329 | 390 | 43.876 | 3768.1 |
553 | 2024-08-10 02:58:55 | chevalets | 4 | 165329 | 390 | 32.006 | 5165.6 |
552 | 2024-08-10 02:58:55 | chevalets | 2 | 121436 | 5 | 14.640 | 8294.8 |
551 | 2024-08-07 09:28:16 | chevalets | 2 | 121436 | 5 | 6.143 | 19768.2 |
550 | 2024-08-02 01:17:42 | chevalets | 3 | 148641 | 30 | 14.420 | 10308.0 |
549 | 2024-08-01 02:11:40 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
548 | 2024-07-31 18:37:11 | chevalets | 3 | 148641 | 30 | 27.016 | 5502.0 |
547 | 2024-07-29 18:57:58 | chevalets | 2 | 121436 | 5 | 19.206 | 6322.8 |
546 | 2024-07-29 18:57:52 | chevalets | 3 | 148641 | 30 | 13.453 | 11048.9 |
545 | 2024-07-29 18:57:25 | chevalets | 1 | 81242 | 2 | 5.826 | 13944.7 |
544 | 2024-06-13 12:00:11 | chevalets | 3 | 148641 | 30 | 29.910 | 4969.6 |
543 | 2024-06-06 23:05:29 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |