History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
586 | 2025-07-19 12:46:28 | swots | 1 | 28756 | 14 | 0.516 | 55728.7 |
585 | 2025-07-13 06:32:18 | swots | 1 | 28756 | 14 | 0.546 | 52666.7 |
584 | 2025-07-10 15:24:54 | swots | 1 | 28756 | 14 | 3.216 | 8941.5 |
583 | 2025-07-06 00:28:58 | swots | 2 | 53800 | 191 | 5.343 | 10069.2 |
582 | 2025-07-03 23:17:29 | swots | 1 | 28756 | 14 | 0.703 | 40904.7 |
581 | 2025-07-03 02:37:38 | swots | 2 | 53800 | 191 | 9.576 | 5618.2 |
580 | 2025-07-02 19:38:17 | swots | 2 | 53800 | 191 | 7.690 | 6996.1 |
579 | 2025-07-02 16:35:23 | swots | 2 | 53800 | 191 | 8.093 | 6647.7 |
578 | 2025-07-01 04:10:49 | swots | 2 | 53800 | 191 | 9.050 | 5944.8 |
577 | 2025-06-28 12:41:24 | swots | 1 | 28756 | 14 | 2.360 | 12184.7 |
576 | 2025-06-27 08:58:18 | swots | 1 | 28756 | 14 | 2.720 | 10572.1 |
575 | 2025-06-23 22:50:09 | swots | 1 | 28756 | 14 | 1.280 | 22465.6 |
574 | 2025-06-18 00:11:02 | swots | 1 | 28756 | 14 | 2.643 | 10880.1 |
573 | 2025-06-11 10:38:51 | swots | 2 | 53800 | 191 | 4.190 | 12840.1 |
572 | 2025-06-09 07:21:38 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
571 | 2025-06-05 10:20:02 | swots | 1 | 28756 | 14 | 3.703 | 7765.6 |
570 | 2025-06-03 23:27:48 | swots | 1 | 28756 | 14 | 1.076 | 26724.9 |
569 | 2025-06-03 05:54:04 | swots | 1 | 28756 | 14 | 2.440 | 11785.2 |
568 | 2025-06-02 00:41:04 | swots | 1 | 28756 | 14 | 3.186 | 9025.7 |
567 | 2025-06-01 09:09:37 | swots | 1 | 28756 | 14 | 0.530 | 54256.6 |
566 | 2025-05-30 12:40:41 | swots | 1 | 28756 | 14 | 2.563 | 11219.7 |
565 | 2025-05-30 01:40:02 | swots | 2 | 53800 | 191 | 2.890 | 18615.9 |
564 | 2025-05-28 15:56:57 | swots | 2 | 53800 | 191 | 4.283 | 12561.3 |
563 | 2025-05-18 00:37:08 | swots | 1 | 28756 | 14 | 3.110 | 9246.3 |
562 | 2025-05-16 00:58:46 | swots | 1 | 28756 | 14 | 2.296 | 12524.4 |
561 | 2025-05-15 23:59:22 | swots | 2 | 53800 | 191 | 3.766 | 14285.7 |
560 | 2025-05-15 17:14:13 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
559 | 2025-05-14 14:21:09 | swots | 2 | 53800 | 191 | 12.173 | 4419.6 |
558 | 2025-05-14 01:17:17 | swots | 1 | 28756 | 14 | 1.673 | 17188.3 |
557 | 2025-05-11 20:11:33 | swots | 2 | 53800 | 191 | 1.780 | 30224.7 |
556 | 2025-05-10 07:23:24 | swots | 1 | 28756 | 14 | 2.266 | 12690.2 |
555 | 2025-05-10 05:34:53 | swots | 1 | 28756 | 14 | 1.440 | 19969.4 |
554 | 2025-05-07 04:58:01 | swots | 1 | 28756 | 14 | 0.563 | 51076.4 |
553 | 2025-05-05 08:18:16 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
552 | 2025-05-03 02:39:12 | swots | 1 | 28756 | 14 | 3.703 | 7765.6 |
551 | 2025-04-14 00:51:57 | swots | 1 | 28756 | 14 | 1.030 | 27918.4 |
550 | 2025-04-12 00:44:38 | swots | 1 | 28756 | 14 | 2.343 | 12273.2 |
549 | 2025-04-09 07:32:50 | swots | 1 | 28756 | 14 | 2.673 | 10757.9 |
548 | 2025-03-29 02:14:03 | swots | 1 | 28756 | 14 | 3.593 | 8003.3 |
547 | 2025-03-26 05:11:59 | swots | 2 | 53800 | 191 | 8.110 | 6633.8 |
546 | 2025-03-24 14:37:16 | swots | 1 | 28756 | 14 | 0.876 | 32826.5 |
545 | 2025-03-22 21:09:38 | swots | 1 | 28756 | 14 | 1.096 | 26237.2 |
544 | 2025-03-19 08:16:54 | swots | 1 | 28756 | 14 | 0.436 | 65954.1 |
543 | 2025-03-19 06:46:34 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
542 | 2025-03-14 23:02:21 | swots | 1 | 28756 | 14 | 1.280 | 22465.6 |
541 | 2025-03-12 08:24:53 | swots | 1 | 28756 | 14 | 1.643 | 17502.1 |
540 | 2025-03-10 17:08:36 | swots | 2 | 53800 | 191 | 11.750 | 4578.7 |
539 | 2025-03-08 06:23:33 | swots | 1 | 28756 | 14 | 3.673 | 7829.0 |
538 | 2025-03-06 00:53:07 | swots | 2 | 53800 | 191 | 8.733 | 6160.5 |
537 | 2025-03-06 00:50:14 | swots | 1 | 28756 | 14 | 1.033 | 27837.4 |
536 | 2025-02-27 07:13:07 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
535 | 2025-02-26 10:41:51 | swots | 2 | 53800 | 191 | 9.000 | 5977.8 |
534 | 2025-02-26 07:13:55 | swots | 2 | 53800 | 191 | 7.766 | 6927.6 |
533 | 2025-02-26 05:44:27 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
532 | 2025-02-24 20:05:46 | swots | 1 | 28756 | 14 | 2.936 | 9794.3 |
531 | 2025-02-03 22:57:00 | swots | 1 | 28756 | 14 | 2.110 | 13628.4 |
530 | 2025-01-27 14:34:07 | swots | 2 | 53800 | 191 | 7.846 | 6857.0 |
529 | 2025-01-27 04:40:26 | swots | 2 | 53800 | 191 | 11.673 | 4608.9 |
528 | 2025-01-26 18:39:25 | swots | 2 | 53800 | 191 | 6.813 | 7896.7 |
527 | 2025-01-26 17:46:21 | swots | 2 | 53800 | 191 | 4.110 | 13090.0 |
526 | 2025-01-26 17:14:45 | swots | 1 | 28756 | 14 | 0.500 | 57512.0 |
525 | 2025-01-26 11:37:30 | swots | 1 | 28756 | 14 | 0.453 | 63479.0 |
524 | 2025-01-25 14:38:39 | swots | 1 | 28756 | 14 | 1.266 | 22714.1 |
523 | 2025-01-04 22:18:18 | swots | 1 | 28756 | 14 | 2.110 | 13628.4 |
522 | 2024-12-27 17:22:06 | swots | 2 | 53800 | 191 | 5.470 | 9835.5 |
521 | 2024-12-27 15:23:14 | swots | 2 | 53800 | 191 | 6.186 | 8697.1 |
520 | 2024-12-27 15:18:27 | swots | 1 | 28756 | 14 | 2.296 | 12524.4 |
519 | 2024-12-27 05:41:44 | swots | 1 | 28756 | 14 | 1.610 | 17860.9 |
518 | 2024-12-21 19:48:06 | swots | 1 | 28756 | 14 | 1.436 | 20025.1 |
517 | 2024-12-05 21:32:51 | swots | 1 | 28756 | 14 | 2.626 | 10950.5 |
516 | 2024-11-27 12:07:42 | swots | 2 | 53800 | 191 | 6.890 | 7808.4 |
515 | 2024-11-27 09:41:28 | swots | 2 | 53800 | 191 | 8.593 | 6260.9 |
514 | 2024-11-27 09:24:30 | swots | 1 | 28756 | 14 | 1.906 | 15087.1 |
513 | 2024-11-27 04:05:07 | swots | 1 | 28756 | 14 | 1.173 | 24514.9 |
512 | 2024-11-26 04:52:57 | swots | 1 | 28756 | 14 | 1.080 | 26625.9 |
511 | 2024-11-05 21:27:48 | swots | 1 | 28756 | 14 | 3.656 | 7865.4 |
510 | 2024-10-28 07:48:10 | swots | 2 | 53800 | 191 | 5.953 | 9037.5 |
509 | 2024-10-28 07:30:31 | swots | 1 | 28756 | 14 | 0.453 | 63479.0 |
508 | 2024-10-28 02:18:12 | swots | 1 | 28756 | 14 | 0.516 | 55728.7 |
507 | 2024-10-27 04:50:54 | swots | 1 | 28756 | 14 | 1.860 | 15460.2 |
506 | 2024-10-06 20:44:38 | swots | 1 | 28756 | 14 | 5.860 | 4907.2 |
505 | 2024-09-28 06:23:50 | swots | 2 | 53800 | 191 | 13.156 | 4089.4 |
504 | 2024-09-28 05:35:12 | swots | 1 | 28756 | 14 | 1.266 | 22714.1 |
503 | 2024-09-28 01:30:09 | swots | 1 | 28756 | 14 | 4.033 | 7130.2 |
502 | 2024-09-27 01:52:13 | swots | 1 | 28756 | 14 | 2.000 | 14378.0 |
501 | 2024-09-06 21:25:17 | swots | 1 | 28756 | 14 | 2.173 | 13233.3 |
500 | 2024-08-30 00:08:37 | swots | 1 | 28756 | 14 | 4.360 | 6595.4 |
499 | 2024-08-29 08:51:05 | swots | 2 | 53800 | 191 | 13.313 | 4041.2 |
498 | 2024-08-29 01:27:25 | swots | 1 | 28756 | 14 | 2.280 | 12612.3 |
497 | 2024-08-28 23:14:34 | swots | 2 | 53800 | 191 | 8.656 | 6215.3 |
496 | 2024-08-28 14:47:06 | swots | 1 | 28756 | 14 | 1.966 | 14626.7 |
495 | 2024-08-28 13:50:48 | swots | 2 | 53800 | 191 | 5.783 | 9303.1 |
494 | 2024-08-28 13:21:39 | swots | 1 | 28756 | 14 | 2.033 | 14144.6 |
493 | 2024-08-19 17:33:46 | swots | 1 | 28756 | 14 | 5.343 | 5382.0 |
492 | 2024-08-02 06:01:18 | swots | 2 | 53800 | 191 | 3.000 | 17933.3 |
491 | 2024-08-02 05:37:37 | swots | 1 | 28756 | 14 | 3.080 | 9336.4 |
490 | 2024-07-29 22:58:11 | swots | 2 | 53800 | 191 | 1.736 | 30990.8 |
489 | 2024-07-29 22:57:55 | swots | 1 | 28756 | 14 | 0.640 | 44931.3 |
488 | 2024-07-29 05:07:40 | swots | 1 | 28756 | 14 | 1.063 | 27051.7 |
487 | 2024-07-28 18:23:10 | swots | 2 | 53800 | 191 | 3.986 | 13497.2 |