History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scaliness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
628 | 2025-06-12 05:43:24 | scaliness | 1 | 81242 | 2 | 7.263 | 11185.7 |
627 | 2025-06-11 03:53:38 | scaliness | 1 | 81242 | 2 | 1.300 | 62493.8 |
626 | 2025-06-08 01:31:19 | scaliness | 1 | 81242 | 2 | 6.280 | 12936.6 |
625 | 2025-06-03 14:23:06 | scaliness | 3 | 148641 | 227 | 7.300 | 20361.8 |
624 | 2025-06-02 10:50:35 | scaliness | 1 | 81242 | 2 | 7.813 | 10398.3 |
623 | 2025-06-02 05:55:59 | scaliness | 3 | 148641 | 227 | 39.346 | 3777.8 |
622 | 2025-06-01 16:17:57 | scaliness | 3 | 148641 | 227 | 8.126 | 18292.0 |
621 | 2025-05-30 10:16:55 | scaliness | 3 | 148641 | 227 | 32.710 | 4544.2 |
620 | 2025-05-28 22:25:41 | scaliness | 3 | 148641 | 227 | 36.610 | 4060.1 |
619 | 2025-05-26 20:36:23 | scaliness | 3 | 148641 | 227 | 31.593 | 4704.9 |
618 | 2025-05-26 19:45:31 | scaliness | 2 | 121436 | 27 | 9.343 | 12997.5 |
617 | 2025-05-25 12:14:12 | scaliness | 1 | 81242 | 2 | 1.470 | 55266.7 |
616 | 2025-05-24 05:02:06 | scaliness | 1 | 81242 | 2 | 3.330 | 24397.0 |
615 | 2025-05-21 21:09:08 | scaliness | 1 | 81242 | 2 | 6.580 | 12346.8 |
614 | 2025-05-16 11:07:19 | scaliness | 1 | 81242 | 2 | 5.296 | 15340.3 |
613 | 2025-05-10 09:16:33 | scaliness | 1 | 81242 | 2 | 6.553 | 12397.7 |
612 | 2025-05-08 12:29:29 | scaliness | 1 | 81242 | 2 | 4.216 | 19269.9 |
611 | 2025-05-08 02:39:31 | scaliness | 1 | 81242 | 2 | 9.580 | 8480.4 |
610 | 2025-05-08 01:07:05 | scaliness | 1 | 81242 | 2 | 3.486 | 23305.2 |
609 | 2025-05-02 10:35:15 | scaliness | 1 | 81242 | 2 | 6.906 | 11764.0 |
608 | 2025-05-02 07:46:07 | scaliness | 2 | 121436 | 27 | 21.580 | 5627.2 |
607 | 2025-04-30 10:33:11 | scaliness | 2 | 121436 | 27 | 9.890 | 12278.7 |
606 | 2025-04-27 07:23:36 | scaliness | 2 | 121436 | 27 | 11.753 | 10332.3 |
605 | 2025-04-23 03:21:24 | scaliness | 1 | 81242 | 2 | 4.920 | 16512.6 |
604 | 2025-04-16 14:06:39 | scaliness | 1 | 81242 | 2 | 5.173 | 15705.0 |
603 | 2025-04-15 23:59:32 | scaliness | 1 | 81242 | 2 | 5.280 | 15386.7 |
602 | 2025-04-15 00:27:26 | scaliness | 1 | 81242 | 2 | 6.906 | 11764.0 |
601 | 2025-04-14 12:19:12 | scaliness | 1 | 81242 | 2 | 5.766 | 14089.8 |
600 | 2025-04-07 12:20:23 | scaliness | 1 | 81242 | 2 | 10.843 | 7492.6 |
599 | 2025-04-04 10:32:21 | scaliness | 3 | 148641 | 227 | 40.033 | 3713.0 |
598 | 2025-04-03 07:50:27 | scaliness | 1 | 81242 | 2 | 1.330 | 61084.2 |
597 | 2025-03-31 12:24:04 | scaliness | 1 | 81242 | 2 | 3.156 | 25742.1 |
596 | 2025-03-27 18:37:52 | scaliness | 3 | 148641 | 227 | 31.753 | 4681.2 |
595 | 2025-03-24 22:56:18 | scaliness | 3 | 148641 | 227 | 24.063 | 6177.2 |
594 | 2025-03-24 20:45:36 | scaliness | 2 | 121436 | 27 | 8.873 | 13686.0 |
593 | 2025-03-23 16:45:15 | scaliness | 2 | 121436 | 27 | 10.530 | 11532.4 |
592 | 2025-03-15 22:06:14 | scaliness | 1 | 81242 | 2 | 5.000 | 16248.4 |
591 | 2025-03-13 02:46:34 | scaliness | 1 | 81242 | 2 | 3.123 | 26014.1 |
590 | 2025-03-09 17:00:24 | scaliness | 3 | 148641 | 227 | 34.660 | 4288.5 |
589 | 2025-03-09 14:44:36 | scaliness | 3 | 148641 | 227 | 36.093 | 4118.3 |
588 | 2025-02-27 15:29:32 | scaliness | 1 | 81242 | 2 | 6.360 | 12773.9 |
587 | 2025-02-25 19:08:14 | scaliness | 1 | 81242 | 2 | 3.300 | 24618.8 |
586 | 2025-02-22 00:13:50 | scaliness | 3 | 148641 | 227 | 38.110 | 3900.3 |
585 | 2025-02-06 17:04:06 | scaliness | 1 | 81242 | 2 | 5.236 | 15516.0 |
584 | 2025-02-06 10:47:42 | scaliness | 3 | 148641 | 227 | 29.476 | 5042.8 |
583 | 2025-02-06 10:47:36 | scaliness | 2 | 121436 | 27 | 9.173 | 13238.4 |
582 | 2025-02-04 17:45:32 | scaliness | 3 | 148641 | 227 | 40.660 | 3655.7 |
581 | 2025-02-04 17:45:31 | scaliness | 2 | 121436 | 27 | 18.873 | 6434.4 |
580 | 2025-02-04 17:45:04 | scaliness | 1 | 81242 | 2 | 6.923 | 11735.1 |
579 | 2025-02-03 05:38:41 | scaliness | 1 | 81242 | 2 | 6.360 | 12773.9 |
578 | 2025-01-27 18:43:48 | scaliness | 1 | 81242 | 2 | 1.860 | 43678.5 |
577 | 2025-01-25 20:05:18 | scaliness | 1 | 81242 | 2 | 3.393 | 23944.0 |
576 | 2025-01-05 17:43:43 | scaliness | 1 | 81242 | 2 | 6.080 | 13362.2 |
575 | 2025-01-02 17:31:27 | scaliness | 1 | 81242 | 2 | 7.093 | 11453.8 |
574 | 2024-12-27 17:57:22 | scaliness | 1 | 81242 | 2 | 9.000 | 9026.9 |
573 | 2024-12-26 16:46:44 | scaliness | 1 | 81242 | 2 | 1.266 | 64172.2 |
572 | 2024-12-02 16:50:05 | scaliness | 1 | 81242 | 2 | 1.326 | 61268.5 |
571 | 2024-12-02 09:51:24 | scaliness | 3 | 148641 | 227 | 34.393 | 4321.8 |
570 | 2024-12-02 09:51:26 | scaliness | 2 | 121436 | 27 | 18.390 | 6603.4 |
569 | 2024-12-02 09:50:02 | scaliness | 1 | 81242 | 2 | 3.750 | 21664.5 |
568 | 2024-11-20 00:15:24 | scaliness | 1 | 81242 | 2 | 8.126 | 9997.8 |
567 | 2024-10-31 20:36:10 | scaliness | 1 | 81242 | 2 | 7.156 | 11353.0 |
566 | 2024-10-26 19:49:34 | scaliness | 1 | 81242 | 2 | 10.313 | 7877.6 |
565 | 2024-10-25 11:54:09 | scaliness | 2 | 121436 | 27 | 19.313 | 6287.8 |
564 | 2024-10-25 00:53:34 | scaliness | 2 | 121436 | 27 | 11.546 | 10517.6 |
563 | 2024-10-18 04:41:47 | scaliness | 1 | 81242 | 2 | 6.593 | 12322.5 |
562 | 2024-10-10 13:04:42 | scaliness | 3 | 148641 | 227 | 36.376 | 4086.2 |
561 | 2024-10-10 10:19:09 | scaliness | 3 | 148641 | 227 | 40.160 | 3701.2 |
560 | 2024-10-09 23:59:25 | scaliness | 3 | 148641 | 227 | 37.047 | 4012.2 |
559 | 2024-10-09 21:12:23 | scaliness | 3 | 148641 | 227 | 46.773 | 3177.9 |
558 | 2024-10-09 21:12:23 | scaliness | 2 | 121436 | 27 | 27.126 | 4476.7 |
557 | 2024-09-23 22:01:06 | scaliness | 1 | 81242 | 2 | 9.703 | 8372.9 |
556 | 2024-09-23 15:55:17 | scaliness | 1 | 81242 | 2 | 12.750 | 6371.9 |
555 | 2024-08-12 05:08:44 | scaliness | 1 | 81242 | 2 | 5.250 | 15474.7 |
554 | 2024-08-09 07:14:51 | scaliness | 2 | 121436 | 27 | 18.126 | 6699.5 |
553 | 2024-08-09 07:08:32 | scaliness | 1 | 81242 | 2 | 5.063 | 16046.2 |
552 | 2024-07-22 10:04:56 | scaliness | 1 | 81242 | 2 | 7.016 | 11579.5 |
551 | 2024-07-22 09:59:36 | scaliness | 1 | 81242 | 2 | 2.606 | 31175.0 |
550 | 2024-07-22 01:18:45 | scaliness | 3 | 148641 | 227 | 36.393 | 4084.3 |
549 | 2024-07-21 01:56:10 | scaliness | 3 | 148641 | 227 | 36.783 | 4041.0 |
548 | 2024-07-19 12:59:47 | scaliness | 3 | 148641 | 227 | 36.143 | 4112.6 |
547 | 2024-07-19 12:59:51 | scaliness | 2 | 121436 | 27 | 7.063 | 17193.3 |
546 | 2024-07-19 12:50:48 | scaliness | 1 | 81242 | 2 | 6.500 | 12498.8 |
545 | 2024-07-16 06:01:54 | scaliness | 2 | 121436 | 27 | 13.843 | 8772.4 |
544 | 2024-07-16 05:54:57 | scaliness | 1 | 81242 | 2 | 3.046 | 26671.7 |
543 | 2024-07-07 06:53:00 | scaliness | 1 | 81242 | 2 | 2.923 | 27794.0 |
542 | 2024-07-01 04:40:11 | scaliness | 1 | 81242 | 2 | 2.453 | 33119.4 |
541 | 2024-06-25 04:16:16 | scaliness | 3 | 148641 | 227 | 35.000 | 4246.9 |
540 | 2024-06-25 04:15:06 | scaliness | 1 | 81242 | 2 | 5.110 | 15898.6 |
539 | 2024-06-25 02:03:20 | scaliness | 2 | 121436 | 27 | 20.533 | 5914.2 |
538 | 2024-06-25 02:02:42 | scaliness | 3 | 148641 | 227 | 34.846 | 4265.7 |
537 | 2024-06-25 01:59:43 | scaliness | 1 | 81242 | 2 | 6.513 | 12473.8 |
536 | 2024-06-24 06:51:13 | scaliness | 2 | 121436 | 27 | 7.266 | 16712.9 |
535 | 2024-06-24 06:48:40 | scaliness | 1 | 81242 | 2 | 4.313 | 18836.5 |
534 | 2024-06-20 17:34:14 | scaliness | 3 | 148641 | 227 | 26.206 | 5672.0 |
533 | 2024-06-19 23:41:18 | scaliness | 1 | 81242 | 2 | 3.203 | 25364.3 |
532 | 2024-06-19 17:32:00 | scaliness | 3 | 148641 | 227 | 31.643 | 4697.4 |
531 | 2024-06-19 14:00:49 | scaliness | 2 | 121436 | 27 | 19.110 | 6354.6 |
530 | 2024-06-19 14:00:50 | scaliness | 3 | 148641 | 227 | 14.313 | 10385.0 |
529 | 2024-06-06 14:21:13 | scaliness | 1 | 81242 | 2 | 1.466 | 55417.5 |