History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meanness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
582 | 2025-08-23 19:45:48 | meanness | 1 | 82945 | 2 | 2.813 | 29486.3 |
581 | 2025-08-21 03:54:00 | meanness | 1 | 82945 | 2 | 3.360 | 24686.0 |
580 | 2025-08-17 21:46:29 | meanness | 1 | 82945 | 2 | 5.483 | 15127.7 |
579 | 2025-08-10 15:56:21 | meanness | 1 | 82945 | 2 | 3.156 | 26281.7 |
578 | 2025-08-02 19:51:17 | meanness | 1 | 82945 | 2 | 3.326 | 24938.4 |
577 | 2025-07-30 01:28:13 | meanness | 1 | 82945 | 2 | 3.406 | 24352.6 |
576 | 2025-07-17 03:47:54 | meanness | 1 | 82945 | 2 | 6.736 | 12313.7 |
575 | 2025-07-15 04:12:07 | meanness | 2 | 121059 | 26 | 9.706 | 12472.6 |
574 | 2025-07-14 10:38:20 | meanness | 1 | 82945 | 2 | 9.096 | 9118.8 |
573 | 2025-07-14 07:31:21 | meanness | 1 | 82945 | 2 | 10.733 | 7728.0 |
572 | 2025-07-11 21:31:44 | meanness | 2 | 121059 | 26 | 20.236 | 5982.4 |
571 | 2025-07-11 21:20:23 | meanness | 2 | 121059 | 26 | 30.843 | 3925.0 |
570 | 2025-07-08 14:32:09 | meanness | 1 | 82945 | 2 | 8.953 | 9264.5 |
569 | 2025-07-08 03:07:19 | meanness | 1 | 82945 | 2 | 6.783 | 12228.4 |
568 | 2025-07-06 14:38:47 | meanness | 1 | 82945 | 2 | 1.436 | 57761.1 |
567 | 2025-07-05 22:43:52 | meanness | 1 | 82945 | 2 | 2.470 | 33581.0 |
566 | 2025-07-02 11:45:09 | meanness | 1 | 82945 | 2 | 4.500 | 18432.2 |
565 | 2025-06-27 05:22:12 | meanness | 1 | 82945 | 2 | 3.903 | 21251.6 |
564 | 2025-06-24 05:52:26 | meanness | 1 | 82945 | 2 | 4.753 | 17451.1 |
563 | 2025-06-21 18:55:06 | meanness | 1 | 82945 | 2 | 2.280 | 36379.4 |
562 | 2025-06-15 12:01:22 | meanness | 1 | 82945 | 2 | 1.406 | 58993.6 |
561 | 2025-06-14 22:03:57 | meanness | 1 | 82945 | 2 | 5.483 | 15127.7 |
560 | 2025-06-10 21:55:49 | meanness | 1 | 82945 | 2 | 6.703 | 12374.3 |
559 | 2025-06-06 07:21:32 | meanness | 1 | 82945 | 2 | 7.203 | 11515.3 |
558 | 2025-06-04 20:04:18 | meanness | 3 | 146162 | 226 | 38.093 | 3837.0 |
557 | 2025-06-03 21:10:14 | meanness | 1 | 82945 | 2 | 10.406 | 7970.9 |
556 | 2025-06-01 01:43:22 | meanness | 3 | 146162 | 226 | 22.890 | 6385.4 |
555 | 2025-05-30 15:58:21 | meanness | 3 | 146162 | 226 | 24.606 | 5940.1 |
554 | 2025-05-27 22:55:28 | meanness | 1 | 82945 | 2 | 1.470 | 56425.2 |
553 | 2025-05-27 13:19:17 | meanness | 2 | 121059 | 26 | 19.656 | 6158.9 |
552 | 2025-05-27 12:34:34 | meanness | 3 | 146162 | 226 | 54.096 | 2701.9 |
551 | 2025-05-27 06:38:34 | meanness | 1 | 82945 | 2 | 5.783 | 14342.9 |
550 | 2025-05-24 04:25:59 | meanness | 1 | 82945 | 2 | 3.673 | 22582.4 |
549 | 2025-05-23 06:00:11 | meanness | 1 | 82945 | 2 | 6.280 | 13207.8 |
548 | 2025-05-21 08:17:26 | meanness | 1 | 82945 | 2 | 3.220 | 25759.3 |
547 | 2025-05-08 14:27:44 | meanness | 1 | 82945 | 2 | 3.610 | 22976.5 |
546 | 2025-05-07 11:25:56 | meanness | 1 | 82945 | 2 | 2.843 | 29175.2 |
545 | 2025-05-06 09:45:14 | meanness | 1 | 82945 | 2 | 10.346 | 8017.1 |
544 | 2025-04-28 19:34:11 | meanness | 1 | 82945 | 2 | 1.470 | 56425.2 |
543 | 2025-04-27 21:05:14 | meanness | 1 | 82945 | 2 | 3.890 | 21322.6 |
542 | 2025-04-25 00:51:37 | meanness | 3 | 146162 | 226 | 8.233 | 17753.2 |
541 | 2025-04-23 05:02:35 | meanness | 1 | 82945 | 2 | 4.310 | 19244.8 |
540 | 2025-04-11 17:40:47 | meanness | 1 | 82945 | 2 | 6.563 | 12638.3 |
539 | 2025-04-04 09:39:04 | meanness | 1 | 82945 | 2 | 6.580 | 12605.6 |
538 | 2025-04-02 01:50:49 | meanness | 3 | 146162 | 226 | 49.350 | 2961.7 |
537 | 2025-03-31 09:08:14 | meanness | 1 | 82945 | 2 | 7.063 | 11743.6 |
536 | 2025-03-30 17:51:28 | meanness | 3 | 146162 | 226 | 39.333 | 3716.0 |
535 | 2025-03-29 21:18:52 | meanness | 3 | 146162 | 226 | 33.986 | 4300.7 |
534 | 2025-03-29 11:16:38 | meanness | 3 | 146162 | 226 | 23.990 | 6092.6 |
533 | 2025-03-28 16:59:15 | meanness | 2 | 121059 | 26 | 17.623 | 6869.4 |
532 | 2025-03-28 15:17:43 | meanness | 3 | 146162 | 226 | 16.766 | 8717.8 |
531 | 2025-03-24 21:36:36 | meanness | 1 | 82945 | 2 | 1.423 | 58288.8 |
530 | 2025-03-23 06:52:08 | meanness | 1 | 82945 | 2 | 6.970 | 11900.3 |
529 | 2025-03-21 06:12:33 | meanness | 1 | 82945 | 2 | 3.343 | 24811.5 |
528 | 2025-03-20 08:09:34 | meanness | 2 | 121059 | 26 | 21.940 | 5517.7 |
527 | 2025-03-18 22:13:10 | meanness | 1 | 82945 | 2 | 1.453 | 57085.3 |
526 | 2025-03-11 07:04:54 | meanness | 2 | 121059 | 26 | 9.750 | 12416.3 |
525 | 2025-02-28 19:38:29 | meanness | 3 | 146162 | 226 | 22.116 | 6608.9 |
524 | 2025-02-27 14:40:03 | meanness | 2 | 121059 | 26 | 22.236 | 5444.3 |
523 | 2025-02-27 14:35:10 | meanness | 1 | 82945 | 2 | 6.736 | 12313.7 |
522 | 2025-02-27 14:33:28 | meanness | 3 | 146162 | 226 | 36.563 | 3997.5 |
521 | 2025-02-25 12:46:54 | meanness | 3 | 146162 | 226 | 30.530 | 4787.5 |
520 | 2025-02-25 06:49:22 | meanness | 3 | 146162 | 226 | 40.720 | 3589.4 |
519 | 2025-02-25 06:07:22 | meanness | 3 | 146162 | 226 | 29.986 | 4874.3 |
518 | 2025-02-25 06:07:20 | meanness | 2 | 121059 | 26 | 20.516 | 5900.7 |
517 | 2025-02-25 06:07:19 | meanness | 1 | 82945 | 2 | 9.610 | 8631.1 |
516 | 2025-02-14 08:04:15 | meanness | 3 | 146162 | 226 | 36.516 | 4002.7 |
515 | 2025-02-12 17:17:05 | meanness | 1 | 82945 | 2 | 6.343 | 13076.6 |
514 | 2025-02-12 17:12:34 | meanness | 2 | 121059 | 26 | 6.903 | 17537.2 |
513 | 2025-01-27 18:56:34 | meanness | 3 | 146162 | 226 | 26.516 | 5512.2 |
512 | 2025-01-26 21:54:41 | meanness | 2 | 121059 | 26 | 18.266 | 6627.6 |
511 | 2025-01-26 21:54:39 | meanness | 1 | 82945 | 2 | 3.813 | 21753.2 |
510 | 2025-01-25 20:12:39 | meanness | 1 | 82945 | 2 | 6.576 | 12613.3 |
509 | 2025-01-24 18:48:53 | meanness | 3 | 146162 | 226 | 7.406 | 19735.6 |
508 | 2025-01-23 19:18:02 | meanness | 3 | 146162 | 226 | 52.236 | 2798.1 |
507 | 2025-01-23 15:07:31 | meanness | 3 | 146162 | 226 | 39.846 | 3668.2 |
506 | 2025-01-10 21:37:44 | meanness | 3 | 146162 | 226 | 44.690 | 3270.6 |
505 | 2025-01-06 01:19:53 | meanness | 1 | 82945 | 2 | 5.220 | 15889.8 |
504 | 2024-12-26 07:45:19 | meanness | 1 | 82945 | 2 | 7.076 | 11722.0 |
503 | 2024-12-26 01:58:07 | meanness | 2 | 121059 | 26 | 9.783 | 12374.4 |
502 | 2024-12-23 02:17:21 | meanness | 3 | 146162 | 226 | 37.343 | 3914.0 |
501 | 2024-12-22 10:08:57 | meanness | 3 | 146162 | 226 | 38.596 | 3787.0 |
500 | 2024-12-21 08:06:25 | meanness | 3 | 146162 | 226 | 7.766 | 18820.8 |
499 | 2024-12-21 06:28:59 | meanness | 3 | 146162 | 226 | 7.470 | 19566.5 |
498 | 2024-12-21 06:28:58 | meanness | 2 | 121059 | 26 | 3.940 | 30725.6 |
497 | 2024-12-21 06:28:57 | meanness | 1 | 82945 | 2 | 1.546 | 53651.4 |
496 | 2024-12-15 11:06:35 | meanness | 1 | 82945 | 2 | 7.373 | 11249.8 |
495 | 2024-12-12 08:23:22 | meanness | 1 | 82945 | 2 | 6.936 | 11958.6 |
494 | 2024-12-06 16:05:22 | meanness | 1 | 82945 | 2 | 6.766 | 12259.1 |
493 | 2024-11-19 15:34:31 | meanness | 3 | 146162 | 226 | 9.173 | 15933.9 |
492 | 2024-11-18 18:19:15 | meanness | 1 | 82945 | 2 | 10.220 | 8115.9 |
491 | 2024-11-17 15:53:54 | meanness | 2 | 121059 | 26 | 18.906 | 6403.2 |
490 | 2024-11-17 15:53:45 | meanness | 1 | 82945 | 2 | 5.516 | 15037.2 |
489 | 2024-11-11 13:08:04 | meanness | 2 | 121059 | 26 | 30.770 | 3934.3 |
488 | 2024-11-11 12:31:14 | meanness | 2 | 121059 | 26 | 9.033 | 13401.9 |
487 | 2024-11-10 19:31:18 | meanness | 3 | 146162 | 226 | 31.486 | 4642.1 |
486 | 2024-11-10 09:46:07 | meanness | 3 | 146162 | 226 | 34.300 | 4261.3 |
485 | 2024-11-10 09:46:07 | meanness | 2 | 121059 | 26 | 11.813 | 10247.9 |
484 | 2024-11-10 08:25:30 | meanness | 1 | 82945 | 2 | 8.156 | 10169.8 |
483 | 2024-10-19 02:38:36 | meanness | 1 | 82945 | 2 | 3.673 | 22582.4 |