History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biassed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
583 | 2024-04-27 07:57:10 | biassed | 1 | 69583 | 4 | 1.140 | 61037.7 |
582 | 2024-04-26 10:06:48 | biassed | 2 | 107671 | 40 | 5.580 | 19295.9 |
581 | 2024-04-26 07:45:38 | biassed | 3 | 134027 | 429 | 6.780 | 19768.0 |
580 | 2024-04-25 15:32:44 | biassed | 2 | 107671 | 40 | 3.143 | 34257.4 |
579 | 2024-04-25 15:32:09 | biassed | 3 | 134027 | 429 | 7.126 | 18808.2 |
578 | 2024-04-24 19:27:42 | biassed | 3 | 134027 | 429 | 28.956 | 4628.6 |
577 | 2024-04-22 06:20:02 | biassed | 3 | 134027 | 429 | 20.876 | 6420.1 |
576 | 2024-04-20 22:08:02 | biassed | 3 | 134027 | 429 | 17.143 | 7818.2 |
575 | 2024-04-20 15:33:31 | biassed | 3 | 134027 | 429 | 8.906 | 15049.1 |
574 | 2024-04-19 14:48:57 | biassed | 3 | 134027 | 429 | 7.593 | 17651.4 |
573 | 2024-04-01 16:21:48 | biassed | 1 | 69583 | 4 | 1.296 | 53690.6 |
572 | 2024-03-08 23:58:50 | biassed | 2 | 107671 | 40 | 6.080 | 17709.0 |
571 | 2024-03-07 04:17:44 | biassed | 2 | 107671 | 40 | 7.766 | 13864.4 |
570 | 2024-03-07 01:48:58 | biassed | 1 | 69583 | 4 | 1.250 | 55666.4 |
569 | 2024-03-06 21:21:35 | biassed | 3 | 134027 | 429 | 17.266 | 7762.5 |
568 | 2024-03-05 17:47:46 | biassed | 3 | 134027 | 429 | 25.753 | 5204.3 |
567 | 2024-03-05 12:38:41 | biassed | 2 | 107671 | 40 | 3.030 | 35535.0 |
566 | 2024-03-05 12:38:10 | biassed | 3 | 134027 | 429 | 7.003 | 19138.5 |
565 | 2024-03-04 14:05:38 | biassed | 2 | 107671 | 40 | 7.410 | 14530.5 |
564 | 2024-03-04 14:01:20 | biassed | 2 | 107671 | 40 | 4.826 | 22310.6 |
563 | 2024-03-04 14:01:10 | biassed | 1 | 69583 | 4 | 1.390 | 50059.7 |
562 | 2024-03-04 13:59:05 | biassed | 3 | 134027 | 429 | 7.813 | 17154.4 |
561 | 2024-03-04 09:46:51 | biassed | 3 | 134027 | 429 | 16.533 | 8106.6 |
560 | 2024-03-03 20:36:52 | biassed | 3 | 134027 | 429 | 6.450 | 20779.4 |
559 | 2024-03-01 20:00:07 | biassed | 1 | 69583 | 4 | 2.986 | 23303.1 |
558 | 2024-02-04 19:35:33 | biassed | 2 | 107671 | 40 | 3.703 | 29076.7 |
557 | 2024-01-30 12:01:03 | biassed | 3 | 134027 | 429 | 6.876 | 19492.0 |
556 | 2024-01-30 11:44:55 | biassed | 3 | 134027 | 429 | 7.016 | 19103.1 |
555 | 2024-01-30 11:44:47 | biassed | 2 | 107671 | 40 | 3.250 | 33129.5 |
554 | 2024-01-28 15:51:21 | biassed | 2 | 107671 | 40 | 3.173 | 33933.5 |
553 | 2024-01-20 11:55:35 | biassed | 1 | 69583 | 4 | 1.093 | 63662.4 |
552 | 2023-12-10 20:39:24 | biassed | 1 | 69583 | 4 | 1.190 | 58473.1 |
551 | 2023-12-09 15:12:21 | biassed | 1 | 69583 | 4 | 1.156 | 60192.9 |
550 | 2023-12-03 08:42:01 | biassed | 1 | 69583 | 4 | 1.126 | 61796.6 |
549 | 2023-11-26 08:26:42 | biassed | 3 | 134027 | 429 | 5.846 | 22926.3 |
548 | 2023-11-16 20:53:05 | biassed | 1 | 69583 | 4 | 1.233 | 56433.9 |
547 | 2023-11-11 06:36:01 | biassed | 1 | 69583 | 4 | 1.123 | 61961.7 |
546 | 2023-11-07 08:10:39 | biassed | 2 | 107671 | 40 | 2.986 | 36058.6 |
545 | 2023-11-05 16:06:31 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
544 | 2023-11-03 16:59:18 | biassed | 1 | 69583 | 4 | 1.076 | 64668.2 |
543 | 2023-09-23 22:04:52 | biassed | 1 | 69583 | 4 | 1.050 | 66269.5 |
542 | 2023-09-16 13:58:43 | biassed | 1 | 69583 | 4 | 1.156 | 60192.9 |
541 | 2023-09-04 02:17:16 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
540 | 2023-08-25 22:19:56 | biassed | 3 | 134027 | 429 | 6.796 | 19721.5 |
539 | 2023-08-21 11:58:22 | biassed | 1 | 69583 | 4 | 1.216 | 57222.9 |
538 | 2023-08-12 00:53:51 | biassed | 2 | 107671 | 40 | 3.140 | 34290.1 |
537 | 2023-05-17 07:39:55 | biassed | 3 | 134027 | 429 | 6.530 | 20524.8 |
536 | 2023-05-11 03:09:49 | biassed | 1 | 69583 | 4 | 1.080 | 64428.7 |
535 | 2023-05-11 02:25:41 | biassed | 3 | 134027 | 429 | 5.703 | 23501.1 |
534 | 2023-04-26 05:12:17 | biassed | 2 | 107671 | 40 | 3.236 | 33272.9 |
533 | 2023-02-19 23:47:07 | biassed | 3 | 134027 | 429 | 5.893 | 22743.4 |
532 | 2023-02-19 19:20:03 | biassed | 1 | 69583 | 4 | 1.153 | 60349.5 |
531 | 2023-02-02 20:16:50 | biassed | 2 | 107671 | 40 | 3.313 | 32499.5 |
530 | 2023-01-25 08:31:59 | biassed | 1 | 69583 | 4 | 1.220 | 57035.2 |
529 | 2023-01-21 16:42:25 | biassed | 1 | 69583 | 4 | 1.050 | 66269.5 |
528 | 2022-12-18 01:55:54 | biassed | 1 | 69583 | 4 | 1.173 | 59320.5 |
527 | 2022-12-02 07:53:31 | biassed | 3 | 134027 | 429 | 6.550 | 20462.1 |
526 | 2022-11-14 16:52:29 | biassed | 2 | 107671 | 40 | 3.200 | 33647.2 |
525 | 2022-10-07 09:12:01 | biassed | 1 | 69583 | 4 | 1.093 | 63662.4 |
524 | 2022-08-28 08:05:53 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
523 | 2022-08-25 06:08:01 | biassed | 3 | 134027 | 429 | 6.470 | 20715.1 |
522 | 2022-07-22 02:59:48 | biassed | 3 | 134027 | 429 | 5.796 | 23124.1 |
521 | 2022-07-10 00:10:41 | biassed | 3 | 134027 | 429 | 6.126 | 21878.4 |
520 | 2022-06-20 15:49:12 | biassed | 1 | 69583 | 4 | 2.140 | 32515.4 |
519 | 2022-06-17 17:25:11 | biassed | 2 | 107671 | 40 | 3.203 | 33615.7 |
518 | 2022-06-16 22:21:03 | biassed | 1 | 69583 | 4 | 1.170 | 59472.6 |
517 | 2022-04-17 09:27:55 | biassed | 1 | 69583 | 4 | 1.080 | 64428.7 |
516 | 2022-02-26 02:00:07 | biassed | 1 | 69583 | 4 | 1.110 | 62687.4 |
515 | 2022-02-22 16:00:12 | biassed | 1 | 69583 | 4 | 1.483 | 46920.4 |
514 | 2022-01-13 02:30:44 | biassed | 1 | 69583 | 4 | 1.080 | 64428.7 |
513 | 2021-11-17 21:05:36 | biassed | 1 | 69583 | 4 | 1.233 | 56433.9 |
512 | 2021-11-15 17:59:04 | biassed | 1 | 69583 | 4 | 1.110 | 62687.4 |
511 | 2021-11-15 09:14:53 | biassed | 1 | 69583 | 4 | 2.500 | 27833.2 |
510 | 2021-11-14 20:50:25 | biassed | 1 | 69583 | 4 | 1.970 | 35321.3 |
509 | 2021-11-14 10:21:13 | biassed | 1 | 69583 | 4 | 1.343 | 51811.6 |
508 | 2021-11-13 20:31:23 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
507 | 2021-11-13 11:35:07 | biassed | 1 | 69583 | 4 | 1.266 | 54962.9 |
506 | 2021-11-12 21:00:37 | biassed | 1 | 69583 | 4 | 1.186 | 58670.3 |
505 | 2021-11-12 11:07:20 | biassed | 1 | 69583 | 4 | 3.626 | 19190.0 |
504 | 2021-11-11 18:41:20 | biassed | 1 | 69583 | 4 | 1.190 | 58473.1 |
503 | 2021-11-11 07:49:52 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
502 | 2021-11-10 22:21:15 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
501 | 2021-11-09 00:57:29 | biassed | 1 | 69583 | 4 | 1.093 | 63662.4 |
500 | 2021-11-07 00:34:27 | biassed | 1 | 69583 | 4 | 1.190 | 58473.1 |
499 | 2021-10-26 17:07:25 | biassed | 1 | 69583 | 4 | 1.250 | 55666.4 |
498 | 2021-10-26 07:30:57 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
497 | 2021-10-25 10:27:02 | biassed | 1 | 69583 | 4 | 1.173 | 59320.5 |
496 | 2021-10-25 01:32:58 | biassed | 1 | 69583 | 4 | 1.173 | 59320.5 |
495 | 2021-10-24 17:38:21 | biassed | 1 | 69583 | 4 | 1.093 | 63662.4 |
494 | 2021-10-24 07:34:50 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
493 | 2021-10-24 00:30:58 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
492 | 2021-10-23 14:08:28 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
491 | 2021-10-23 07:08:25 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
490 | 2021-10-22 23:25:18 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |
489 | 2021-10-22 14:12:38 | biassed | 1 | 69583 | 4 | 1.076 | 64668.2 |
488 | 2021-09-24 11:22:05 | biassed | 1 | 69583 | 4 | 1.220 | 57035.2 |
487 | 2021-09-24 01:10:20 | biassed | 1 | 69583 | 4 | 1.063 | 65459.1 |
486 | 2021-09-23 10:56:44 | biassed | 1 | 69583 | 4 | 1.140 | 61037.7 |
485 | 2021-09-17 05:10:43 | biassed | 1 | 69583 | 4 | 1.076 | 64668.2 |
484 | 2021-08-25 00:47:07 | biassed | 1 | 69583 | 4 | 1.203 | 57841.2 |