History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cluster"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
565 | 2025-08-12 11:04:59 | cluster | 2 | 107671 | 74 | 14.500 | 7425.6 |
564 | 2025-08-10 19:57:55 | cluster | 1 | 69583 | 8 | 3.110 | 22374.0 |
563 | 2025-08-10 14:59:53 | cluster | 3 | 134027 | 652 | 17.626 | 7603.9 |
562 | 2025-08-10 07:05:46 | cluster | 3 | 134027 | 652 | 21.516 | 6229.2 |
561 | 2025-08-09 00:37:14 | cluster | 3 | 134027 | 652 | 25.550 | 5245.7 |
560 | 2025-08-08 22:02:13 | cluster | 1 | 69583 | 8 | 1.220 | 57035.2 |
559 | 2025-08-02 18:44:28 | cluster | 3 | 134027 | 652 | 19.186 | 6985.7 |
558 | 2025-07-31 09:56:09 | cluster | 1 | 69583 | 8 | 5.453 | 12760.5 |
557 | 2025-07-31 03:50:08 | cluster | 1 | 69583 | 8 | 1.220 | 57035.2 |
556 | 2025-07-26 17:51:29 | cluster | 1 | 69583 | 8 | 3.280 | 21214.3 |
555 | 2025-07-24 01:04:07 | cluster | 1 | 69583 | 8 | 5.640 | 12337.4 |
554 | 2025-07-23 08:50:53 | cluster | 1 | 69583 | 8 | 7.796 | 8925.5 |
553 | 2025-07-22 23:42:01 | cluster | 1 | 69583 | 8 | 5.410 | 12861.9 |
552 | 2025-07-22 19:55:57 | cluster | 3 | 134027 | 652 | 28.596 | 4686.9 |
551 | 2025-07-21 22:37:51 | cluster | 1 | 69583 | 8 | 2.923 | 23805.3 |
550 | 2025-07-21 04:53:05 | cluster | 1 | 69583 | 8 | 1.093 | 63662.4 |
549 | 2025-07-18 19:32:07 | cluster | 1 | 69583 | 8 | 4.500 | 15462.9 |
548 | 2025-07-18 13:49:05 | cluster | 1 | 69583 | 8 | 7.063 | 9851.8 |
547 | 2025-07-18 08:34:13 | cluster | 3 | 134027 | 652 | 20.876 | 6420.1 |
546 | 2025-07-17 23:01:33 | cluster | 1 | 69583 | 8 | 2.720 | 25582.0 |
545 | 2025-07-17 18:03:10 | cluster | 2 | 107671 | 74 | 7.656 | 14063.6 |
544 | 2025-07-16 05:08:12 | cluster | 2 | 107671 | 74 | 10.393 | 10360.0 |
543 | 2025-07-15 11:07:36 | cluster | 1 | 69583 | 8 | 5.626 | 12368.1 |
542 | 2025-07-15 07:02:06 | cluster | 2 | 107671 | 74 | 19.220 | 5602.0 |
541 | 2025-07-15 03:15:51 | cluster | 2 | 107671 | 74 | 15.796 | 6816.3 |
540 | 2025-07-14 22:56:57 | cluster | 3 | 134027 | 652 | 28.860 | 4644.0 |
539 | 2025-07-14 08:22:14 | cluster | 2 | 107671 | 74 | 11.890 | 9055.6 |
538 | 2025-07-13 20:52:29 | cluster | 2 | 107671 | 74 | 17.063 | 6310.2 |
537 | 2025-07-13 18:20:18 | cluster | 1 | 69583 | 8 | 2.796 | 24886.6 |
536 | 2025-07-13 17:56:57 | cluster | 3 | 134027 | 652 | 6.940 | 19312.2 |
535 | 2025-07-13 11:44:10 | cluster | 2 | 107671 | 74 | 3.453 | 31181.9 |
534 | 2025-07-13 04:38:11 | cluster | 1 | 69583 | 8 | 1.186 | 58670.3 |
533 | 2025-07-12 08:00:55 | cluster | 1 | 69583 | 8 | 1.280 | 54361.7 |
532 | 2025-07-11 01:24:22 | cluster | 3 | 134027 | 652 | 18.893 | 7094.0 |
531 | 2025-07-10 23:34:48 | cluster | 1 | 69583 | 8 | 8.830 | 7880.3 |
530 | 2025-07-08 21:20:11 | cluster | 1 | 69583 | 8 | 1.216 | 57222.9 |
529 | 2025-07-02 15:57:24 | cluster | 2 | 107671 | 74 | 11.830 | 9101.5 |
528 | 2025-07-01 18:58:19 | cluster | 1 | 69583 | 8 | 1.233 | 56433.9 |
527 | 2025-07-01 08:58:48 | cluster | 1 | 69583 | 8 | 1.233 | 56433.9 |
526 | 2025-06-29 08:40:04 | cluster | 2 | 107671 | 74 | 2.830 | 38046.3 |
525 | 2025-06-29 03:14:52 | cluster | 1 | 69583 | 8 | 1.110 | 62687.4 |
524 | 2025-06-24 20:21:17 | cluster | 1 | 69583 | 8 | 1.266 | 54962.9 |
523 | 2025-06-21 22:56:58 | cluster | 1 | 69583 | 8 | 5.690 | 12229.0 |
522 | 2025-06-18 15:12:46 | cluster | 1 | 69583 | 8 | 4.993 | 13936.1 |
521 | 2025-06-16 05:35:47 | cluster | 3 | 134027 | 652 | 23.656 | 5665.7 |
520 | 2025-06-13 22:23:30 | cluster | 3 | 134027 | 652 | 20.063 | 6680.3 |
519 | 2025-06-12 17:24:09 | cluster | 1 | 69583 | 8 | 1.296 | 53690.6 |
518 | 2025-06-11 22:29:25 | cluster | 1 | 69583 | 8 | 6.173 | 11272.2 |
517 | 2025-06-11 07:15:20 | cluster | 2 | 107671 | 74 | 14.533 | 7408.7 |
516 | 2025-06-09 22:13:14 | cluster | 1 | 69583 | 8 | 5.906 | 11781.7 |
515 | 2025-06-09 13:50:52 | cluster | 2 | 107671 | 74 | 3.296 | 32667.2 |
514 | 2025-06-07 21:35:42 | cluster | 1 | 69583 | 8 | 3.313 | 21003.0 |
513 | 2025-06-07 20:59:15 | cluster | 2 | 107671 | 74 | 16.453 | 6544.2 |
512 | 2025-06-07 08:58:20 | cluster | 2 | 107671 | 74 | 4.640 | 23205.0 |
511 | 2025-06-06 21:42:22 | cluster | 1 | 69583 | 8 | 5.533 | 12576.0 |
510 | 2025-06-05 21:39:57 | cluster | 1 | 69583 | 8 | 3.096 | 22475.1 |
509 | 2025-06-04 10:30:48 | cluster | 1 | 69583 | 8 | 7.983 | 8716.4 |
508 | 2025-06-02 22:38:46 | cluster | 3 | 134027 | 652 | 32.253 | 4155.5 |
507 | 2025-06-01 08:20:46 | cluster | 1 | 69583 | 8 | 5.983 | 11630.1 |
506 | 2025-05-28 23:52:47 | cluster | 1 | 69583 | 8 | 4.706 | 14786.0 |
505 | 2025-05-21 23:13:17 | cluster | 1 | 69583 | 8 | 2.920 | 23829.8 |
504 | 2025-05-19 21:35:49 | cluster | 1 | 69583 | 8 | 3.500 | 19880.9 |
503 | 2025-05-18 14:34:25 | cluster | 1 | 69583 | 8 | 5.656 | 12302.5 |
502 | 2025-05-16 10:47:28 | cluster | 3 | 134027 | 652 | 31.363 | 4273.4 |
501 | 2025-05-15 20:39:25 | cluster | 1 | 69583 | 8 | 3.716 | 18725.2 |
500 | 2025-05-14 22:57:29 | cluster | 3 | 134027 | 652 | 23.800 | 5631.4 |
499 | 2025-05-12 17:45:49 | cluster | 3 | 134027 | 652 | 12.906 | 10384.9 |
498 | 2025-05-12 17:21:52 | cluster | 1 | 69583 | 8 | 6.016 | 11566.3 |
497 | 2025-05-12 15:21:03 | cluster | 3 | 134027 | 652 | 32.516 | 4121.9 |
496 | 2025-05-11 21:46:14 | cluster | 3 | 134027 | 652 | 39.006 | 3436.1 |
495 | 2025-05-11 16:51:06 | cluster | 1 | 69583 | 8 | 1.203 | 57841.2 |
494 | 2025-05-11 10:53:54 | cluster | 1 | 69583 | 8 | 5.516 | 12614.8 |
493 | 2025-05-11 05:53:58 | cluster | 3 | 134027 | 652 | 30.453 | 4401.1 |
492 | 2025-05-10 04:57:55 | cluster | 3 | 134027 | 652 | 37.830 | 3542.9 |
491 | 2025-05-10 02:29:35 | cluster | 2 | 107671 | 74 | 14.783 | 7283.4 |
490 | 2025-05-08 22:26:43 | cluster | 1 | 69583 | 8 | 6.046 | 11508.9 |
489 | 2025-05-07 21:33:10 | cluster | 1 | 69583 | 8 | 3.216 | 21636.5 |
488 | 2025-05-06 05:45:16 | cluster | 1 | 69583 | 8 | 6.436 | 10811.5 |
487 | 2025-05-05 10:18:47 | cluster | 1 | 69583 | 8 | 1.266 | 54962.9 |
486 | 2025-05-03 13:47:44 | cluster | 1 | 69583 | 8 | 1.220 | 57035.2 |
485 | 2025-05-01 08:38:55 | cluster | 1 | 69583 | 8 | 7.296 | 9537.1 |
484 | 2025-04-30 22:32:01 | cluster | 1 | 69583 | 8 | 8.626 | 8066.7 |
483 | 2025-04-27 08:47:00 | cluster | 1 | 69583 | 8 | 1.250 | 55666.4 |
482 | 2025-04-19 22:34:37 | cluster | 1 | 69583 | 8 | 3.703 | 18791.0 |
481 | 2025-04-18 13:58:09 | cluster | 1 | 69583 | 8 | 6.016 | 11566.3 |
480 | 2025-04-11 17:06:14 | cluster | 1 | 69583 | 8 | 5.766 | 12067.8 |
479 | 2025-04-07 22:25:11 | cluster | 1 | 69583 | 8 | 3.516 | 19790.4 |
478 | 2025-04-06 21:15:28 | cluster | 1 | 69583 | 8 | 5.826 | 11943.5 |
477 | 2025-03-31 10:29:40 | cluster | 1 | 69583 | 8 | 8.780 | 7925.2 |
476 | 2025-03-16 04:44:28 | cluster | 1 | 69583 | 8 | 8.876 | 7839.5 |
475 | 2025-03-12 10:18:40 | cluster | 1 | 69583 | 8 | 3.110 | 22374.0 |
474 | 2025-03-10 15:41:59 | cluster | 1 | 69583 | 8 | 5.826 | 11943.5 |
473 | 2025-03-10 10:31:16 | cluster | 3 | 134027 | 652 | 52.820 | 2537.4 |
472 | 2025-03-09 13:36:07 | cluster | 3 | 134027 | 652 | 52.893 | 2533.9 |
471 | 2025-03-09 00:50:24 | cluster | 3 | 134027 | 652 | 20.406 | 6568.0 |
470 | 2025-03-08 22:52:54 | cluster | 3 | 134027 | 652 | 43.503 | 3080.9 |
469 | 2025-03-08 22:41:34 | cluster | 2 | 107671 | 74 | 18.140 | 5935.6 |
468 | 2025-03-08 20:29:59 | cluster | 3 | 134027 | 652 | 29.140 | 4599.4 |
467 | 2025-03-08 20:29:53 | cluster | 2 | 107671 | 74 | 21.796 | 4939.9 |
466 | 2025-03-08 20:28:23 | cluster | 1 | 69583 | 8 | 3.296 | 21111.3 |