History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"datary"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
554 | 2025-08-14 05:52:31 | datary | 1 | 48755 | 1 | 0.856 | 56956.8 |
553 | 2025-08-12 05:20:53 | datary | 1 | 48755 | 1 | 1.983 | 24586.5 |
552 | 2025-08-10 02:12:53 | datary | 1 | 48755 | 1 | 4.313 | 11304.2 |
551 | 2025-08-05 13:51:08 | datary | 1 | 48755 | 1 | 1.986 | 24549.3 |
550 | 2025-07-31 08:22:16 | datary | 1 | 48755 | 1 | 1.250 | 39004.0 |
549 | 2025-07-28 06:11:42 | datary | 2 | 82551 | 32 | 5.780 | 14282.2 |
548 | 2025-07-26 01:45:13 | datary | 3 | 112716 | 456 | 5.986 | 18829.9 |
547 | 2025-07-24 15:41:35 | datary | 3 | 112716 | 456 | 20.240 | 5569.0 |
546 | 2025-07-24 15:04:37 | datary | 1 | 48755 | 1 | 5.190 | 9394.0 |
545 | 2025-07-24 09:20:04 | datary | 3 | 112716 | 456 | 37.110 | 3037.3 |
544 | 2025-07-24 06:35:15 | datary | 1 | 48755 | 1 | 2.203 | 22131.2 |
543 | 2025-07-23 18:53:56 | datary | 1 | 48755 | 1 | 2.170 | 22467.7 |
542 | 2025-07-23 17:27:18 | datary | 1 | 48755 | 1 | 2.170 | 22467.7 |
541 | 2025-07-23 06:59:30 | datary | 1 | 48755 | 1 | 4.093 | 11911.8 |
540 | 2025-07-23 05:29:12 | datary | 1 | 48755 | 1 | 3.813 | 12786.5 |
539 | 2025-07-23 04:59:28 | datary | 1 | 48755 | 1 | 1.970 | 24748.7 |
538 | 2025-07-22 13:29:41 | datary | 1 | 48755 | 1 | 3.813 | 12786.5 |
537 | 2025-07-21 08:02:15 | datary | 1 | 48755 | 1 | 0.830 | 58741.0 |
536 | 2025-07-20 20:06:47 | datary | 3 | 112716 | 456 | 5.343 | 21096.0 |
535 | 2025-07-16 19:01:30 | datary | 1 | 48755 | 1 | 0.766 | 63648.8 |
534 | 2025-07-12 15:53:01 | datary | 1 | 48755 | 1 | 0.893 | 54596.9 |
533 | 2025-07-10 23:10:59 | datary | 1 | 48755 | 1 | 4.016 | 12140.2 |
532 | 2025-07-10 23:01:58 | datary | 1 | 48755 | 1 | 4.516 | 10796.1 |
531 | 2025-07-05 04:01:58 | datary | 1 | 48755 | 1 | 3.626 | 13445.9 |
530 | 2025-06-29 16:24:48 | datary | 1 | 48755 | 1 | 6.250 | 7800.8 |
529 | 2025-06-24 04:34:15 | datary | 2 | 82551 | 32 | 13.626 | 6058.3 |
528 | 2025-06-23 03:01:36 | datary | 3 | 112716 | 456 | 31.406 | 3589.0 |
527 | 2025-06-22 16:19:57 | datary | 2 | 82551 | 32 | 17.643 | 4679.0 |
526 | 2025-06-21 10:04:41 | datary | 3 | 112716 | 456 | 9.110 | 12372.8 |
525 | 2025-06-20 05:33:01 | datary | 1 | 48755 | 1 | 1.953 | 24964.2 |
524 | 2025-06-20 04:19:00 | datary | 1 | 48755 | 1 | 5.640 | 8644.5 |
523 | 2025-06-19 05:39:32 | datary | 3 | 112716 | 456 | 6.030 | 18692.5 |
522 | 2025-06-14 05:41:24 | datary | 3 | 112716 | 456 | 32.240 | 3496.2 |
521 | 2025-06-13 16:27:55 | datary | 1 | 48755 | 1 | 0.860 | 56691.9 |
520 | 2025-06-11 11:53:28 | datary | 1 | 48755 | 1 | 2.250 | 21668.9 |
519 | 2025-06-10 16:50:10 | datary | 1 | 48755 | 1 | 4.360 | 11182.3 |
518 | 2025-06-10 05:38:41 | datary | 1 | 48755 | 1 | 4.236 | 11509.7 |
517 | 2025-06-06 11:28:11 | datary | 3 | 112716 | 456 | 43.050 | 2618.3 |
516 | 2025-06-06 00:04:59 | datary | 3 | 112716 | 456 | 29.096 | 3873.9 |
515 | 2025-06-05 09:55:53 | datary | 3 | 112716 | 456 | 17.766 | 6344.5 |
514 | 2025-06-05 02:54:49 | datary | 1 | 48755 | 1 | 3.956 | 12324.3 |
513 | 2025-06-04 01:42:50 | datary | 3 | 112716 | 456 | 43.173 | 2610.8 |
512 | 2025-06-03 09:02:30 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
511 | 2025-06-03 00:20:34 | datary | 1 | 48755 | 1 | 2.080 | 23439.9 |
510 | 2025-05-29 02:17:10 | datary | 1 | 48755 | 1 | 3.626 | 13445.9 |
509 | 2025-05-22 11:27:15 | datary | 1 | 48755 | 1 | 4.173 | 11683.4 |
508 | 2025-05-22 04:20:38 | datary | 2 | 82551 | 32 | 10.640 | 7758.6 |
507 | 2025-05-21 03:18:55 | datary | 1 | 48755 | 1 | 0.860 | 56691.9 |
506 | 2025-05-21 02:57:43 | datary | 1 | 48755 | 1 | 0.873 | 55847.7 |
505 | 2025-05-20 04:36:31 | datary | 1 | 48755 | 1 | 5.826 | 8368.5 |
504 | 2025-05-12 05:16:12 | datary | 1 | 48755 | 1 | 2.200 | 22161.4 |
503 | 2025-05-10 15:16:50 | datary | 1 | 48755 | 1 | 4.170 | 11691.8 |
502 | 2025-05-10 05:58:21 | datary | 1 | 48755 | 1 | 3.596 | 13558.1 |
501 | 2025-05-08 18:33:05 | datary | 1 | 48755 | 1 | 4.106 | 11874.1 |
500 | 2025-05-05 22:30:35 | datary | 2 | 82551 | 32 | 13.360 | 6179.0 |
499 | 2025-05-05 02:24:49 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
498 | 2025-05-03 16:44:51 | datary | 1 | 48755 | 1 | 0.780 | 62506.4 |
497 | 2025-05-02 09:35:07 | datary | 1 | 48755 | 1 | 2.656 | 18356.6 |
496 | 2025-04-25 06:23:54 | datary | 1 | 48755 | 1 | 6.420 | 7594.2 |
495 | 2025-04-22 08:46:41 | datary | 3 | 112716 | 456 | 5.986 | 18829.9 |
494 | 2025-04-21 10:37:36 | datary | 3 | 112716 | 456 | 22.066 | 5108.1 |
493 | 2025-04-20 03:25:29 | datary | 1 | 48755 | 1 | 4.236 | 11509.7 |
492 | 2025-04-20 03:12:56 | datary | 1 | 48755 | 1 | 7.000 | 6965.0 |
491 | 2025-04-19 20:46:33 | datary | 3 | 112716 | 456 | 5.326 | 21163.3 |
490 | 2025-04-18 10:22:22 | datary | 1 | 48755 | 1 | 1.813 | 26891.9 |
489 | 2025-04-09 06:11:09 | datary | 1 | 48755 | 1 | 2.233 | 21833.9 |
488 | 2025-04-04 02:16:58 | datary | 1 | 48755 | 1 | 2.846 | 17131.1 |
487 | 2025-04-02 02:28:14 | datary | 3 | 112716 | 456 | 29.036 | 3881.9 |
486 | 2025-04-01 10:53:17 | datary | 1 | 48755 | 1 | 3.920 | 12437.5 |
485 | 2025-03-26 01:05:31 | datary | 3 | 112716 | 456 | 27.253 | 4135.9 |
484 | 2025-03-24 18:29:05 | datary | 3 | 112716 | 456 | 6.203 | 18171.2 |
483 | 2025-03-20 05:20:51 | datary | 1 | 48755 | 1 | 4.283 | 11383.4 |
482 | 2025-03-19 04:35:45 | datary | 1 | 48755 | 1 | 0.733 | 66514.3 |
481 | 2025-03-17 21:13:04 | datary | 3 | 112716 | 456 | 37.550 | 3001.8 |
480 | 2025-03-17 17:37:35 | datary | 3 | 112716 | 456 | 20.440 | 5514.5 |
479 | 2025-03-17 17:06:24 | datary | 3 | 112716 | 456 | 21.483 | 5246.8 |
478 | 2025-03-17 17:06:22 | datary | 2 | 82551 | 32 | 11.813 | 6988.1 |
477 | 2025-03-17 17:06:12 | datary | 1 | 48755 | 1 | 3.656 | 13335.6 |
476 | 2025-03-08 21:03:37 | datary | 1 | 48755 | 1 | 3.673 | 13273.9 |
475 | 2025-03-01 08:27:23 | datary | 2 | 82551 | 32 | 6.670 | 12376.5 |
474 | 2025-03-01 08:27:12 | datary | 1 | 48755 | 1 | 3.576 | 13633.9 |
473 | 2025-02-27 16:17:23 | datary | 2 | 82551 | 32 | 2.466 | 33475.7 |
472 | 2025-02-27 16:16:10 | datary | 3 | 112716 | 456 | 5.673 | 19868.9 |
471 | 2025-02-26 16:18:06 | datary | 1 | 48755 | 1 | 4.406 | 11065.6 |
470 | 2025-02-22 22:05:38 | datary | 3 | 112716 | 456 | 28.580 | 3943.9 |
469 | 2025-02-22 09:55:23 | datary | 1 | 48755 | 1 | 2.593 | 18802.5 |
468 | 2025-02-05 14:48:37 | datary | 2 | 82551 | 32 | 6.203 | 13308.2 |
467 | 2025-02-05 14:48:30 | datary | 1 | 48755 | 1 | 1.750 | 27860.0 |
466 | 2025-02-05 04:41:23 | datary | 3 | 112716 | 456 | 27.080 | 4162.3 |
465 | 2025-02-04 05:24:38 | datary | 3 | 112716 | 456 | 27.986 | 4027.6 |
464 | 2025-02-04 04:58:05 | datary | 3 | 112716 | 456 | 27.346 | 4121.8 |
463 | 2025-02-04 00:25:20 | datary | 3 | 112716 | 456 | 21.316 | 5287.9 |
462 | 2025-02-04 00:25:20 | datary | 2 | 82551 | 32 | 18.223 | 4530.0 |
461 | 2025-02-04 00:24:59 | datary | 1 | 48755 | 1 | 3.156 | 15448.4 |
460 | 2025-01-28 17:48:26 | datary | 1 | 48755 | 1 | 1.733 | 28133.3 |
459 | 2025-01-18 04:59:09 | datary | 1 | 48755 | 1 | 4.456 | 10941.4 |
458 | 2025-01-05 22:44:36 | datary | 1 | 48755 | 1 | 4.096 | 11903.1 |
457 | 2025-01-02 22:13:28 | datary | 1 | 48755 | 1 | 4.500 | 10834.4 |
456 | 2024-12-29 14:57:13 | datary | 1 | 48755 | 1 | 3.626 | 13445.9 |
455 | 2024-12-28 23:43:41 | datary | 1 | 48755 | 1 | 3.500 | 13930.0 |