History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"molded"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
556 | 2025-08-31 15:33:34 | molded | 1 | 48755 | 7 | 0.763 | 63899.1 |
555 | 2025-08-31 04:06:35 | molded | 1 | 48755 | 7 | 1.296 | 37619.6 |
554 | 2025-08-25 00:10:00 | molded | 1 | 48755 | 7 | 2.373 | 20545.7 |
553 | 2025-08-24 06:38:38 | molded | 1 | 48755 | 7 | 5.063 | 9629.7 |
552 | 2025-08-15 08:22:22 | molded | 1 | 48755 | 7 | 1.783 | 27344.4 |
551 | 2025-08-14 13:01:52 | molded | 1 | 48755 | 7 | 0.783 | 62266.9 |
550 | 2025-08-11 16:38:15 | molded | 1 | 48755 | 7 | 1.250 | 39004.0 |
549 | 2025-08-11 07:21:36 | molded | 1 | 48755 | 7 | 3.483 | 13998.0 |
548 | 2025-08-10 14:18:21 | molded | 1 | 48755 | 7 | 1.470 | 33166.7 |
547 | 2025-08-01 11:15:56 | molded | 1 | 48755 | 7 | 5.206 | 9365.2 |
546 | 2025-07-31 04:22:54 | molded | 1 | 48755 | 7 | 0.906 | 53813.5 |
545 | 2025-07-27 18:01:29 | molded | 1 | 48755 | 7 | 1.750 | 27860.0 |
544 | 2025-07-26 18:53:57 | molded | 1 | 48755 | 7 | 4.500 | 10834.4 |
543 | 2025-07-25 01:11:47 | molded | 1 | 48755 | 7 | 2.126 | 22932.7 |
542 | 2025-07-24 08:07:53 | molded | 1 | 48755 | 7 | 2.470 | 19738.9 |
541 | 2025-07-23 14:16:19 | molded | 1 | 48755 | 7 | 4.140 | 11776.6 |
540 | 2025-07-22 20:06:59 | molded | 1 | 48755 | 7 | 2.780 | 17537.8 |
539 | 2025-07-13 06:43:45 | molded | 1 | 48755 | 7 | 1.283 | 38000.8 |
538 | 2025-07-12 10:58:27 | molded | 1 | 48755 | 7 | 0.873 | 55847.7 |
537 | 2025-07-11 18:53:24 | molded | 1 | 48755 | 7 | 6.126 | 7958.7 |
536 | 2025-07-11 01:16:19 | molded | 1 | 48755 | 7 | 6.186 | 7881.5 |
535 | 2025-07-11 00:10:54 | molded | 1 | 48755 | 7 | 2.766 | 17626.5 |
534 | 2025-06-30 08:52:35 | molded | 1 | 48755 | 7 | 2.250 | 21668.9 |
533 | 2025-06-27 05:19:36 | molded | 1 | 48755 | 7 | 2.643 | 18446.8 |
532 | 2025-06-23 11:55:20 | molded | 2 | 82551 | 130 | 5.203 | 15866.0 |
531 | 2025-06-22 00:36:58 | molded | 1 | 48755 | 7 | 2.890 | 16870.2 |
530 | 2025-06-16 06:24:35 | molded | 2 | 82551 | 130 | 10.516 | 7850.0 |
529 | 2025-06-14 02:59:24 | molded | 2 | 82551 | 130 | 6.156 | 13409.8 |
528 | 2025-06-13 05:53:37 | molded | 1 | 48755 | 7 | 0.890 | 54780.9 |
527 | 2025-06-12 10:17:23 | molded | 1 | 48755 | 7 | 3.936 | 12386.9 |
526 | 2025-06-11 07:13:24 | molded | 1 | 48755 | 7 | 4.016 | 12140.2 |
525 | 2025-06-10 00:37:01 | molded | 1 | 48755 | 7 | 1.780 | 27390.4 |
524 | 2025-06-08 03:06:18 | molded | 1 | 48755 | 7 | 5.796 | 8411.8 |
523 | 2025-06-06 21:59:58 | molded | 1 | 48755 | 7 | 1.983 | 24586.5 |
522 | 2025-06-06 08:23:51 | molded | 1 | 48755 | 7 | 3.953 | 12333.7 |
521 | 2025-05-30 07:55:12 | molded | 1 | 48755 | 7 | 2.843 | 17149.1 |
520 | 2025-05-30 06:59:46 | molded | 1 | 48755 | 7 | 4.483 | 10875.5 |
519 | 2025-05-29 09:56:45 | molded | 1 | 48755 | 7 | 2.470 | 19738.9 |
518 | 2025-05-28 16:58:24 | molded | 2 | 82551 | 130 | 2.610 | 31628.7 |
517 | 2025-05-22 00:09:56 | molded | 1 | 48755 | 7 | 3.780 | 12898.1 |
516 | 2025-05-19 00:41:21 | molded | 1 | 48755 | 7 | 0.873 | 55847.7 |
515 | 2025-05-13 12:16:54 | molded | 1 | 48755 | 7 | 4.313 | 11304.2 |
514 | 2025-05-10 17:34:25 | molded | 1 | 48755 | 7 | 4.513 | 10803.2 |
513 | 2025-05-10 06:41:57 | molded | 1 | 48755 | 7 | 4.093 | 11911.8 |
512 | 2025-05-08 15:33:00 | molded | 1 | 48755 | 7 | 3.810 | 12796.6 |
511 | 2025-05-06 14:25:59 | molded | 1 | 48755 | 7 | 6.093 | 8001.8 |
510 | 2025-05-05 03:50:11 | molded | 1 | 48755 | 7 | 0.860 | 56691.9 |
509 | 2025-04-30 22:51:50 | molded | 1 | 48755 | 7 | 5.906 | 8255.2 |
508 | 2025-04-30 20:23:36 | molded | 1 | 48755 | 7 | 2.170 | 22467.7 |
507 | 2025-04-27 09:43:22 | molded | 1 | 48755 | 7 | 0.890 | 54780.9 |
506 | 2025-04-19 23:31:42 | molded | 1 | 48755 | 7 | 3.580 | 13618.7 |
505 | 2025-04-11 02:59:17 | molded | 2 | 82551 | 130 | 16.530 | 4994.0 |
504 | 2025-04-09 06:23:18 | molded | 1 | 48755 | 7 | 3.843 | 12686.7 |
503 | 2025-04-09 06:02:10 | molded | 2 | 82551 | 130 | 8.360 | 9874.5 |
502 | 2025-04-08 12:26:22 | molded | 1 | 48755 | 7 | 0.750 | 65006.7 |
501 | 2025-04-08 06:43:11 | molded | 1 | 48755 | 7 | 2.453 | 19875.7 |
500 | 2025-04-06 07:47:42 | molded | 1 | 48755 | 7 | 2.453 | 19875.7 |
499 | 2025-04-01 21:49:26 | molded | 2 | 82551 | 130 | 19.063 | 4330.4 |
498 | 2025-03-27 11:43:44 | molded | 1 | 48755 | 7 | 3.923 | 12428.0 |
497 | 2025-03-21 04:47:49 | molded | 2 | 82551 | 130 | 13.406 | 6157.8 |
496 | 2025-03-19 01:02:30 | molded | 1 | 48755 | 7 | 0.720 | 67715.3 |
495 | 2025-03-09 17:38:30 | molded | 1 | 48755 | 7 | 2.530 | 19270.8 |
494 | 2025-03-09 00:15:55 | molded | 2 | 82551 | 130 | 18.550 | 4450.2 |
493 | 2025-03-08 22:13:59 | molded | 2 | 82551 | 130 | 11.736 | 7034.0 |
492 | 2025-03-08 21:08:15 | molded | 1 | 48755 | 7 | 6.453 | 7555.4 |
491 | 2025-03-07 16:38:20 | molded | 2 | 82551 | 130 | 10.126 | 8152.4 |
490 | 2025-03-07 15:57:56 | molded | 1 | 48755 | 7 | 5.640 | 8644.5 |
489 | 2025-03-07 15:57:46 | molded | 2 | 82551 | 130 | 13.906 | 5936.4 |
488 | 2025-03-05 21:28:54 | molded | 1 | 48755 | 7 | 4.233 | 11517.8 |
487 | 2025-02-25 07:08:31 | molded | 1 | 48755 | 7 | 4.063 | 11999.8 |
486 | 2025-02-25 06:29:01 | molded | 2 | 82551 | 130 | 15.360 | 5374.4 |
485 | 2025-02-25 06:07:13 | molded | 1 | 48755 | 7 | 2.343 | 20808.8 |
484 | 2025-02-18 06:18:34 | molded | 1 | 48755 | 7 | 6.233 | 7822.1 |
483 | 2025-02-14 07:15:16 | molded | 1 | 48755 | 7 | 2.140 | 22782.7 |
482 | 2025-02-07 21:54:06 | molded | 1 | 48755 | 7 | 4.123 | 11825.1 |
481 | 2025-02-05 13:41:24 | molded | 1 | 48755 | 7 | 1.813 | 26891.9 |
480 | 2025-02-04 03:44:29 | molded | 2 | 82551 | 130 | 8.140 | 10141.4 |
479 | 2025-02-04 03:37:07 | molded | 1 | 48755 | 7 | 1.843 | 26454.2 |
478 | 2025-01-31 21:17:42 | molded | 1 | 48755 | 7 | 6.076 | 8024.2 |
477 | 2025-01-26 07:03:11 | molded | 1 | 48755 | 7 | 1.890 | 25796.3 |
476 | 2025-01-06 10:39:38 | molded | 1 | 48755 | 7 | 2.233 | 21833.9 |
475 | 2025-01-04 01:47:04 | molded | 1 | 48755 | 7 | 2.656 | 18356.6 |
474 | 2024-12-29 16:12:45 | molded | 1 | 48755 | 7 | 4.263 | 11436.8 |
473 | 2024-12-21 07:12:09 | molded | 2 | 82551 | 130 | 2.670 | 30918.0 |
472 | 2024-12-21 01:08:53 | molded | 2 | 82551 | 130 | 2.763 | 29877.3 |
471 | 2024-12-04 03:13:12 | molded | 1 | 48755 | 7 | 4.046 | 12050.2 |
470 | 2024-11-29 11:28:02 | molded | 1 | 48755 | 7 | 2.906 | 16777.4 |
469 | 2024-11-27 01:26:10 | molded | 1 | 48755 | 7 | 3.983 | 12240.8 |
468 | 2024-11-07 15:27:25 | molded | 1 | 48755 | 7 | 4.160 | 11720.0 |
467 | 2024-11-07 09:02:38 | molded | 1 | 48755 | 7 | 2.080 | 23439.9 |
466 | 2024-11-03 20:30:52 | molded | 1 | 48755 | 7 | 1.763 | 27654.6 |
465 | 2024-10-30 11:52:27 | molded | 1 | 48755 | 7 | 4.140 | 11776.6 |
464 | 2024-10-09 20:30:27 | molded | 2 | 82551 | 130 | 12.626 | 6538.2 |
463 | 2024-10-09 05:03:42 | molded | 2 | 82551 | 130 | 2.436 | 33887.9 |
462 | 2024-10-08 17:21:32 | molded | 2 | 82551 | 130 | 22.440 | 3678.7 |
461 | 2024-10-08 05:59:48 | molded | 2 | 82551 | 130 | 18.486 | 4465.6 |
460 | 2024-10-08 05:59:42 | molded | 1 | 48755 | 7 | 3.236 | 15066.4 |
459 | 2024-10-04 07:15:03 | molded | 1 | 48755 | 7 | 6.186 | 7881.5 |
458 | 2024-09-30 09:57:38 | molded | 1 | 48755 | 7 | 4.640 | 10507.5 |
457 | 2024-09-27 06:14:30 | molded | 1 | 48755 | 7 | 2.860 | 17047.2 |