History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sternnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
585 | 2025-08-17 00:02:16 | sternnesses | 2 | 86808 | 4 | 4.406 | 19702.2 |
584 | 2025-08-15 06:10:19 | sternnesses | 3 | 121633 | 71 | 26.846 | 4530.8 |
583 | 2025-08-14 01:28:24 | sternnesses | 4 | 148819 | 361 | 15.800 | 9418.9 |
582 | 2025-08-13 12:28:57 | sternnesses | 2 | 86808 | 4 | 6.406 | 13551.0 |
581 | 2025-08-13 11:54:46 | sternnesses | 3 | 121633 | 71 | 15.343 | 7927.6 |
580 | 2025-08-11 10:21:04 | sternnesses | 1 | 49908 | 1 | 4.126 | 12096.0 |
579 | 2025-08-10 11:33:43 | sternnesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
578 | 2025-08-10 01:14:43 | sternnesses | 2 | 86808 | 4 | 4.906 | 17694.3 |
577 | 2025-08-09 07:49:44 | sternnesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
576 | 2025-08-05 10:40:35 | sternnesses | 3 | 121633 | 71 | 11.343 | 10723.2 |
575 | 2025-08-04 16:46:20 | sternnesses | 1 | 49908 | 1 | 3.423 | 14580.2 |
574 | 2025-08-04 11:08:40 | sternnesses | 4 | 148819 | 361 | 32.676 | 4554.4 |
573 | 2025-08-01 17:32:30 | sternnesses | 3 | 121633 | 71 | 16.720 | 7274.7 |
572 | 2025-08-01 10:13:29 | sternnesses | 3 | 121633 | 71 | 37.736 | 3223.3 |
571 | 2025-07-30 13:17:12 | sternnesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
570 | 2025-07-30 06:47:36 | sternnesses | 4 | 148819 | 361 | 35.016 | 4250.0 |
569 | 2025-07-26 02:45:17 | sternnesses | 4 | 148819 | 361 | 19.110 | 7787.5 |
568 | 2025-07-26 01:56:54 | sternnesses | 4 | 148819 | 361 | 10.080 | 14763.8 |
567 | 2025-07-24 01:51:25 | sternnesses | 1 | 49908 | 1 | 2.466 | 20238.4 |
566 | 2025-07-23 14:36:36 | sternnesses | 1 | 49908 | 1 | 1.923 | 25953.2 |
565 | 2025-07-23 05:16:33 | sternnesses | 1 | 49908 | 1 | 1.703 | 29305.9 |
564 | 2025-07-23 03:48:55 | sternnesses | 1 | 49908 | 1 | 3.080 | 16203.9 |
563 | 2025-07-20 16:46:20 | sternnesses | 2 | 86808 | 4 | 2.516 | 34502.4 |
562 | 2025-07-19 21:45:26 | sternnesses | 4 | 148819 | 361 | 10.626 | 14005.2 |
561 | 2025-07-17 22:25:22 | sternnesses | 1 | 49908 | 1 | 3.656 | 13651.0 |
560 | 2025-07-15 21:33:22 | sternnesses | 1 | 49908 | 1 | 1.953 | 25554.5 |
559 | 2025-07-13 07:35:41 | sternnesses | 2 | 86808 | 4 | 2.890 | 30037.4 |
558 | 2025-07-08 06:44:36 | sternnesses | 1 | 49908 | 1 | 4.313 | 11571.5 |
557 | 2025-07-07 07:15:27 | sternnesses | 1 | 49908 | 1 | 4.423 | 11283.7 |
556 | 2025-07-05 17:53:39 | sternnesses | 1 | 49908 | 1 | 5.263 | 9482.8 |
555 | 2025-07-04 16:25:25 | sternnesses | 3 | 121633 | 71 | 27.890 | 4361.2 |
554 | 2025-07-03 05:22:15 | sternnesses | 3 | 121633 | 71 | 18.720 | 6497.5 |
553 | 2025-07-02 10:33:26 | sternnesses | 3 | 121633 | 71 | 38.293 | 3176.4 |
552 | 2025-07-02 08:25:17 | sternnesses | 3 | 121633 | 71 | 34.283 | 3547.9 |
551 | 2025-07-01 11:20:20 | sternnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
550 | 2025-06-30 14:45:41 | sternnesses | 3 | 121633 | 71 | 24.300 | 5005.5 |
549 | 2025-06-29 14:47:41 | sternnesses | 1 | 49908 | 1 | 2.106 | 23698.0 |
548 | 2025-06-28 23:28:55 | sternnesses | 1 | 49908 | 1 | 4.093 | 12193.5 |
547 | 2025-06-19 21:20:49 | sternnesses | 1 | 49908 | 1 | 2.156 | 23148.4 |
546 | 2025-06-17 17:23:30 | sternnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
545 | 2025-06-17 07:31:52 | sternnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
544 | 2025-06-15 12:42:42 | sternnesses | 1 | 49908 | 1 | 2.420 | 20623.1 |
543 | 2025-06-05 13:07:29 | sternnesses | 1 | 49908 | 1 | 4.546 | 10978.4 |
542 | 2025-05-18 21:27:47 | sternnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
541 | 2025-05-04 16:54:35 | sternnesses | 1 | 49908 | 1 | 3.900 | 12796.9 |
540 | 2025-05-04 16:43:48 | sternnesses | 3 | 121633 | 71 | 26.936 | 4515.6 |
539 | 2025-05-04 13:28:54 | sternnesses | 1 | 49908 | 1 | 1.736 | 28748.8 |
538 | 2025-04-28 06:41:48 | sternnesses | 3 | 121633 | 71 | 27.160 | 4478.4 |
537 | 2025-04-28 00:17:12 | sternnesses | 2 | 86808 | 4 | 16.986 | 5110.6 |
536 | 2025-04-26 06:49:59 | sternnesses | 1 | 49908 | 1 | 4.843 | 10305.2 |
535 | 2025-04-23 12:54:15 | sternnesses | 1 | 49908 | 1 | 5.373 | 9288.7 |
534 | 2025-04-17 21:42:17 | sternnesses | 1 | 49908 | 1 | 3.720 | 13416.1 |
533 | 2025-04-13 05:12:50 | sternnesses | 3 | 121633 | 71 | 13.233 | 9191.6 |
532 | 2025-04-11 00:27:36 | sternnesses | 1 | 49908 | 1 | 6.153 | 8111.2 |
531 | 2025-04-09 13:22:15 | sternnesses | 3 | 121633 | 71 | 25.153 | 4835.7 |
530 | 2025-04-06 22:16:56 | sternnesses | 3 | 121633 | 71 | 42.320 | 2874.1 |
529 | 2025-04-04 16:26:00 | sternnesses | 1 | 49908 | 1 | 4.170 | 11968.3 |
528 | 2025-04-03 21:41:36 | sternnesses | 2 | 86808 | 4 | 7.186 | 12080.2 |
527 | 2025-04-03 16:23:19 | sternnesses | 3 | 121633 | 71 | 5.393 | 22553.9 |
526 | 2025-04-03 13:21:27 | sternnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
525 | 2025-04-03 12:41:05 | sternnesses | 2 | 86808 | 4 | 6.313 | 13750.7 |
524 | 2025-03-23 15:50:49 | sternnesses | 1 | 49908 | 1 | 1.970 | 25334.0 |
523 | 2025-03-23 08:35:53 | sternnesses | 1 | 49908 | 1 | 3.920 | 12731.6 |
522 | 2025-03-18 09:53:10 | sternnesses | 1 | 49908 | 1 | 3.936 | 12679.9 |
521 | 2025-03-17 13:24:25 | sternnesses | 1 | 49908 | 1 | 2.483 | 20099.9 |
520 | 2025-03-08 01:08:42 | sternnesses | 1 | 49908 | 1 | 2.826 | 17660.3 |
519 | 2025-03-01 17:42:42 | sternnesses | 1 | 49908 | 1 | 3.500 | 14259.4 |
518 | 2025-02-14 08:30:41 | sternnesses | 2 | 86808 | 4 | 12.263 | 7078.9 |
517 | 2025-02-14 08:26:58 | sternnesses | 1 | 49908 | 1 | 4.920 | 10143.9 |
516 | 2025-02-12 20:10:42 | sternnesses | 4 | 148819 | 361 | 38.596 | 3855.8 |
515 | 2025-02-12 18:30:35 | sternnesses | 3 | 121633 | 71 | 27.580 | 4410.2 |
514 | 2025-02-12 18:09:00 | sternnesses | 3 | 121633 | 71 | 34.126 | 3564.2 |
513 | 2025-02-12 16:23:33 | sternnesses | 4 | 148819 | 361 | 41.050 | 3625.3 |
512 | 2025-02-12 16:23:23 | sternnesses | 3 | 121633 | 71 | 31.846 | 3819.4 |
511 | 2025-02-12 16:23:21 | sternnesses | 2 | 86808 | 4 | 12.140 | 7150.6 |
510 | 2025-02-12 16:22:41 | sternnesses | 1 | 49908 | 1 | 4.203 | 11874.4 |
509 | 2025-01-27 10:02:48 | sternnesses | 2 | 86808 | 4 | 7.533 | 11523.7 |
508 | 2025-01-23 10:48:05 | sternnesses | 3 | 121633 | 71 | 26.720 | 4552.1 |
507 | 2025-01-22 09:34:05 | sternnesses | 3 | 121633 | 71 | 36.223 | 3357.9 |
506 | 2025-01-22 09:34:08 | sternnesses | 2 | 86808 | 4 | 9.436 | 9199.7 |
505 | 2025-01-22 09:31:49 | sternnesses | 1 | 49908 | 1 | 4.873 | 10241.7 |
504 | 2025-01-11 09:16:59 | sternnesses | 4 | 148819 | 361 | 56.070 | 2654.2 |
503 | 2025-01-11 03:08:38 | sternnesses | 4 | 148819 | 361 | 71.046 | 2094.7 |
502 | 2025-01-11 02:29:06 | sternnesses | 4 | 148819 | 361 | 51.063 | 2914.4 |
501 | 2025-01-11 02:28:59 | sternnesses | 3 | 121633 | 71 | 28.360 | 4288.9 |
500 | 2025-01-10 17:41:02 | sternnesses | 4 | 148819 | 361 | 59.786 | 2489.2 |
499 | 2025-01-10 17:41:01 | sternnesses | 3 | 121633 | 71 | 24.876 | 4889.6 |
498 | 2025-01-10 17:41:03 | sternnesses | 2 | 86808 | 4 | 12.216 | 7106.1 |
497 | 2025-01-10 17:39:17 | sternnesses | 1 | 49908 | 1 | 1.826 | 27331.9 |
496 | 2025-01-06 18:25:10 | sternnesses | 1 | 49908 | 1 | 1.990 | 25079.4 |
495 | 2024-12-24 09:07:17 | sternnesses | 3 | 121633 | 71 | 28.536 | 4262.4 |
494 | 2024-12-23 09:10:50 | sternnesses | 3 | 121633 | 71 | 25.820 | 4710.8 |
493 | 2024-12-23 09:10:47 | sternnesses | 2 | 86808 | 4 | 12.576 | 6902.7 |
492 | 2024-12-23 09:08:19 | sternnesses | 1 | 49908 | 1 | 0.936 | 53320.5 |
491 | 2024-12-08 00:34:56 | sternnesses | 1 | 49908 | 1 | 3.890 | 12829.8 |
490 | 2024-12-07 09:31:11 | sternnesses | 3 | 121633 | 71 | 13.656 | 8906.9 |
489 | 2024-12-05 09:28:13 | sternnesses | 4 | 148819 | 361 | 48.860 | 3045.8 |
488 | 2024-12-04 03:19:45 | sternnesses | 4 | 148819 | 361 | 49.283 | 3019.7 |
487 | 2024-12-03 21:09:11 | sternnesses | 4 | 148819 | 361 | 40.846 | 3643.4 |
486 | 2024-12-03 21:09:14 | sternnesses | 3 | 121633 | 71 | 21.766 | 5588.2 |