History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"ticker"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
636 | 2025-08-29 15:24:54 | ticker | 1 | 48755 | 20 | 0.826 | 59025.4 |
635 | 2025-08-18 09:51:21 | ticker | 1 | 48755 | 20 | 0.766 | 63648.8 |
634 | 2025-08-09 15:18:44 | ticker | 1 | 48755 | 20 | 0.830 | 58741.0 |
633 | 2025-08-09 13:30:28 | ticker | 1 | 48755 | 20 | 3.423 | 14243.4 |
632 | 2025-08-08 21:09:14 | ticker | 1 | 48755 | 20 | 0.893 | 54596.9 |
631 | 2025-08-03 03:13:41 | ticker | 2 | 82551 | 168 | 11.953 | 6906.3 |
630 | 2025-08-03 03:13:40 | ticker | 2 | 82551 | 168 | 12.003 | 6877.5 |
629 | 2025-08-01 19:21:54 | ticker | 2 | 82551 | 168 | 16.313 | 5060.4 |
628 | 2025-07-31 07:56:48 | ticker | 1 | 48755 | 20 | 0.813 | 59969.2 |
627 | 2025-07-31 01:22:56 | ticker | 1 | 48755 | 20 | 0.876 | 55656.4 |
626 | 2025-07-30 21:56:28 | ticker | 1 | 48755 | 20 | 0.843 | 57835.1 |
625 | 2025-07-27 03:12:23 | ticker | 1 | 48755 | 20 | 1.936 | 25183.4 |
624 | 2025-07-22 17:16:38 | ticker | 1 | 48755 | 20 | 2.406 | 20263.9 |
623 | 2025-07-18 08:43:07 | ticker | 1 | 48755 | 20 | 4.280 | 11391.4 |
622 | 2025-07-18 04:27:34 | ticker | 1 | 48755 | 20 | 3.170 | 15380.1 |
621 | 2025-07-11 00:51:04 | ticker | 1 | 48755 | 20 | 3.736 | 13050.1 |
620 | 2025-07-10 22:23:39 | ticker | 2 | 82551 | 168 | 8.483 | 9731.3 |
619 | 2025-07-09 13:04:32 | ticker | 2 | 82551 | 168 | 2.593 | 31836.1 |
618 | 2025-07-08 12:48:10 | ticker | 1 | 48755 | 20 | 6.250 | 7800.8 |
617 | 2025-07-06 00:36:33 | ticker | 2 | 82551 | 168 | 12.126 | 6807.8 |
616 | 2025-07-05 05:45:49 | ticker | 1 | 48755 | 20 | 4.330 | 11259.8 |
615 | 2025-07-04 18:59:45 | ticker | 1 | 48755 | 20 | 0.780 | 62506.4 |
614 | 2025-06-30 00:50:43 | ticker | 1 | 48755 | 20 | 3.936 | 12386.9 |
613 | 2025-06-27 17:37:23 | ticker | 1 | 48755 | 20 | 0.810 | 60191.4 |
612 | 2025-06-21 19:27:44 | ticker | 1 | 48755 | 20 | 0.733 | 66514.3 |
611 | 2025-06-20 22:48:47 | ticker | 1 | 48755 | 20 | 4.500 | 10834.4 |
610 | 2025-06-20 15:48:06 | ticker | 1 | 48755 | 20 | 4.123 | 11825.1 |
609 | 2025-06-18 03:07:50 | ticker | 1 | 48755 | 20 | 5.983 | 8148.9 |
608 | 2025-06-16 23:12:05 | ticker | 1 | 48755 | 20 | 6.140 | 7940.6 |
607 | 2025-06-16 10:49:15 | ticker | 1 | 48755 | 20 | 2.013 | 24220.1 |
606 | 2025-06-15 08:27:38 | ticker | 1 | 48755 | 20 | 0.893 | 54596.9 |
605 | 2025-06-11 08:08:19 | ticker | 1 | 48755 | 20 | 4.000 | 12188.8 |
604 | 2025-06-10 09:18:35 | ticker | 1 | 48755 | 20 | 4.233 | 11517.8 |
603 | 2025-06-07 13:02:11 | ticker | 2 | 82551 | 168 | 8.313 | 9930.4 |
602 | 2025-06-06 06:03:16 | ticker | 2 | 82551 | 168 | 19.060 | 4331.1 |
601 | 2025-06-05 00:13:10 | ticker | 2 | 82551 | 168 | 5.936 | 13906.8 |
600 | 2025-06-03 18:53:44 | ticker | 1 | 48755 | 20 | 0.830 | 58741.0 |
599 | 2025-05-31 02:04:15 | ticker | 1 | 48755 | 20 | 2.610 | 18680.1 |
598 | 2025-05-30 23:55:34 | ticker | 1 | 48755 | 20 | 6.046 | 8064.0 |
597 | 2025-05-26 19:06:41 | ticker | 1 | 48755 | 20 | 4.343 | 11226.1 |
596 | 2025-05-16 02:57:39 | ticker | 1 | 48755 | 20 | 2.810 | 17350.5 |
595 | 2025-05-10 17:39:19 | ticker | 1 | 48755 | 20 | 5.860 | 8320.0 |
594 | 2025-05-10 14:51:33 | ticker | 1 | 48755 | 20 | 4.016 | 12140.2 |
593 | 2025-05-08 13:14:18 | ticker | 1 | 48755 | 20 | 2.016 | 24184.0 |
592 | 2025-05-03 11:36:45 | ticker | 1 | 48755 | 20 | 0.893 | 54596.9 |
591 | 2025-05-02 19:06:26 | ticker | 1 | 48755 | 20 | 0.906 | 53813.5 |
590 | 2025-05-01 14:19:15 | ticker | 1 | 48755 | 20 | 0.876 | 55656.4 |
589 | 2025-04-30 11:44:01 | ticker | 1 | 48755 | 20 | 4.063 | 11999.8 |
588 | 2025-04-28 00:18:06 | ticker | 2 | 82551 | 168 | 11.186 | 7379.8 |
587 | 2025-04-26 06:10:46 | ticker | 2 | 82551 | 168 | 17.736 | 4654.4 |
586 | 2025-04-24 12:54:30 | ticker | 2 | 82551 | 168 | 14.453 | 5711.7 |
585 | 2025-04-23 06:29:01 | ticker | 2 | 82551 | 168 | 11.610 | 7110.3 |
584 | 2025-04-23 05:43:25 | ticker | 1 | 48755 | 20 | 6.016 | 8104.2 |
583 | 2025-04-22 10:39:25 | ticker | 2 | 82551 | 168 | 6.953 | 11872.7 |
582 | 2025-04-22 08:24:34 | ticker | 1 | 48755 | 20 | 0.860 | 56691.9 |
581 | 2025-04-22 06:20:32 | ticker | 1 | 48755 | 20 | 0.876 | 55656.4 |
580 | 2025-04-20 18:51:13 | ticker | 1 | 48755 | 20 | 2.563 | 19022.6 |
579 | 2025-04-20 02:19:49 | ticker | 1 | 48755 | 20 | 4.203 | 11600.0 |
578 | 2025-04-13 18:43:09 | ticker | 1 | 48755 | 20 | 0.763 | 63899.1 |
577 | 2025-04-08 10:17:39 | ticker | 2 | 82551 | 168 | 12.030 | 6862.1 |
576 | 2025-04-08 08:29:26 | ticker | 1 | 48755 | 20 | 2.610 | 18680.1 |
575 | 2025-04-08 03:22:49 | ticker | 1 | 48755 | 20 | 2.250 | 21668.9 |
574 | 2025-04-07 11:11:52 | ticker | 1 | 48755 | 20 | 0.846 | 57630.0 |
573 | 2025-04-01 18:55:55 | ticker | 1 | 48755 | 20 | 1.923 | 25353.6 |
572 | 2025-03-27 22:33:39 | ticker | 1 | 48755 | 20 | 0.843 | 57835.1 |
571 | 2025-03-22 14:21:03 | ticker | 1 | 48755 | 20 | 2.343 | 20808.8 |
570 | 2025-03-19 23:36:31 | ticker | 1 | 48755 | 20 | 3.483 | 13998.0 |
569 | 2025-03-19 22:18:17 | ticker | 1 | 48755 | 20 | 4.030 | 12098.0 |
568 | 2025-03-19 17:22:48 | ticker | 1 | 48755 | 20 | 0.813 | 59969.2 |
567 | 2025-03-17 11:02:10 | ticker | 2 | 82551 | 168 | 12.266 | 6730.1 |
566 | 2025-03-16 08:27:11 | ticker | 2 | 82551 | 168 | 12.406 | 6654.1 |
565 | 2025-03-16 06:20:52 | ticker | 1 | 48755 | 20 | 6.673 | 7306.3 |
564 | 2025-03-16 06:16:24 | ticker | 2 | 82551 | 168 | 8.173 | 10100.5 |
563 | 2025-03-08 10:40:59 | ticker | 2 | 82551 | 168 | 17.123 | 4821.1 |
562 | 2025-03-07 19:04:50 | ticker | 1 | 48755 | 20 | 1.750 | 27860.0 |
561 | 2025-03-07 19:04:39 | ticker | 2 | 82551 | 168 | 7.903 | 10445.5 |
560 | 2025-03-07 17:05:46 | ticker | 1 | 48755 | 20 | 4.076 | 11961.5 |
559 | 2025-03-07 17:01:27 | ticker | 2 | 82551 | 168 | 15.220 | 5423.9 |
558 | 2025-03-07 08:35:22 | ticker | 1 | 48755 | 20 | 3.313 | 14716.3 |
557 | 2025-03-02 02:12:06 | ticker | 1 | 48755 | 20 | 4.126 | 11816.5 |
556 | 2025-02-26 00:25:56 | ticker | 1 | 48755 | 20 | 3.266 | 14928.0 |
555 | 2025-01-29 11:16:32 | ticker | 1 | 48755 | 20 | 1.936 | 25183.4 |
554 | 2025-01-12 01:32:26 | ticker | 2 | 82551 | 168 | 12.156 | 6791.0 |
553 | 2025-01-04 01:54:03 | ticker | 2 | 82551 | 168 | 11.470 | 7197.1 |
552 | 2025-01-04 01:51:17 | ticker | 1 | 48755 | 20 | 1.796 | 27146.4 |
551 | 2024-12-30 10:56:36 | ticker | 1 | 48755 | 20 | 4.546 | 10724.8 |
550 | 2024-12-30 06:49:39 | ticker | 1 | 48755 | 20 | 3.876 | 12578.7 |
549 | 2024-12-05 00:09:51 | ticker | 1 | 48755 | 20 | 2.050 | 23782.9 |
548 | 2024-12-05 00:09:20 | ticker | 2 | 82551 | 168 | 13.813 | 5976.3 |
547 | 2024-12-04 11:45:30 | ticker | 2 | 82551 | 168 | 9.673 | 8534.2 |
546 | 2024-12-04 10:37:19 | ticker | 2 | 82551 | 168 | 8.766 | 9417.2 |
545 | 2024-11-30 04:50:44 | ticker | 1 | 48755 | 20 | 3.923 | 12428.0 |
544 | 2024-11-29 18:34:21 | ticker | 1 | 48755 | 20 | 2.763 | 17645.7 |
543 | 2024-11-11 19:37:36 | ticker | 2 | 82551 | 168 | 12.750 | 6474.6 |
542 | 2024-11-10 18:36:41 | ticker | 2 | 82551 | 168 | 12.470 | 6620.0 |
541 | 2024-11-07 05:56:45 | ticker | 1 | 48755 | 20 | 3.953 | 12333.7 |
540 | 2024-10-30 18:53:10 | ticker | 1 | 48755 | 20 | 6.096 | 7997.9 |
539 | 2024-10-29 21:44:54 | ticker | 1 | 48755 | 20 | 3.860 | 12630.8 |
538 | 2024-10-29 16:48:06 | ticker | 1 | 48755 | 20 | 2.030 | 24017.2 |
537 | 2024-10-08 01:33:52 | ticker | 1 | 48755 | 20 | 5.720 | 8523.6 |