History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wearer"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
503 | 2024-04-30 02:48:30 | wearer | 1 | 48755 | 15 | 2.796 | 17437.4 |
502 | 2024-04-27 03:39:39 | wearer | 1 | 48755 | 15 | 2.033 | 23981.8 |
501 | 2024-04-17 11:19:09 | wearer | 1 | 48755 | 15 | 0.736 | 66243.2 |
500 | 2024-04-06 12:45:48 | wearer | 1 | 48755 | 15 | 2.216 | 22001.4 |
499 | 2024-02-27 09:43:42 | wearer | 2 | 82551 | 138 | 2.533 | 32590.2 |
498 | 2024-02-27 09:43:41 | wearer | 1 | 48755 | 15 | 0.876 | 55656.4 |
497 | 2024-02-25 19:39:26 | wearer | 1 | 48755 | 15 | 1.653 | 29494.9 |
496 | 2023-12-31 18:57:04 | wearer | 1 | 48755 | 15 | 1.533 | 31803.7 |
495 | 2023-12-26 18:18:12 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
494 | 2023-12-08 10:38:30 | wearer | 2 | 82551 | 138 | 3.360 | 24568.8 |
493 | 2023-12-08 06:18:46 | wearer | 2 | 82551 | 138 | 2.390 | 34540.2 |
492 | 2023-12-03 19:38:07 | wearer | 1 | 48755 | 15 | 0.940 | 51867.0 |
491 | 2023-12-03 19:38:06 | wearer | 1 | 48755 | 15 | 0.936 | 52088.7 |
490 | 2023-12-02 06:25:19 | wearer | 2 | 82551 | 138 | 2.390 | 34540.2 |
489 | 2023-11-10 23:29:05 | wearer | 1 | 48755 | 15 | 0.780 | 62506.4 |
488 | 2023-11-10 18:32:32 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
487 | 2023-10-27 20:59:17 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
486 | 2023-10-24 21:05:00 | wearer | 2 | 82551 | 138 | 2.453 | 33653.1 |
485 | 2023-10-19 18:41:53 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
484 | 2023-10-17 19:29:08 | wearer | 1 | 48755 | 15 | 0.936 | 52088.7 |
483 | 2023-10-17 19:02:29 | wearer | 2 | 82551 | 138 | 2.720 | 30349.6 |
482 | 2023-10-16 12:28:27 | wearer | 2 | 82551 | 138 | 2.093 | 39441.5 |
481 | 2023-10-14 14:54:36 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
480 | 2023-10-11 00:18:27 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
479 | 2023-10-08 22:20:36 | wearer | 2 | 82551 | 138 | 2.220 | 37185.1 |
478 | 2023-10-03 15:06:20 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
477 | 2023-09-23 16:44:21 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
476 | 2023-09-22 04:52:27 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
475 | 2023-08-26 03:57:00 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
474 | 2023-08-10 10:17:35 | wearer | 1 | 48755 | 15 | 0.736 | 66243.2 |
473 | 2023-05-12 20:18:36 | wearer | 1 | 48755 | 15 | 0.720 | 67715.3 |
472 | 2023-05-01 13:18:13 | wearer | 1 | 48755 | 15 | 0.720 | 67715.3 |
471 | 2023-04-27 21:04:17 | wearer | 1 | 48755 | 15 | 0.830 | 58741.0 |
470 | 2023-03-22 00:23:23 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
469 | 2023-03-08 23:33:40 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
468 | 2023-01-04 08:54:01 | wearer | 1 | 48755 | 15 | 0.720 | 67715.3 |
467 | 2023-01-01 00:23:26 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
466 | 2022-09-21 23:05:03 | wearer | 1 | 48755 | 15 | 0.733 | 66514.3 |
465 | 2022-09-01 20:14:35 | wearer | 1 | 48755 | 15 | 0.720 | 67715.3 |
464 | 2022-08-24 00:29:06 | wearer | 1 | 48755 | 15 | 0.736 | 66243.2 |
463 | 2022-05-05 19:53:22 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
462 | 2022-05-03 15:31:05 | wearer | 1 | 48755 | 15 | 0.876 | 55656.4 |
461 | 2022-04-09 11:02:05 | wearer | 1 | 48755 | 15 | 0.860 | 56691.9 |
460 | 2022-03-21 20:01:50 | wearer | 1 | 48755 | 15 | 0.830 | 58741.0 |
459 | 2022-03-20 21:17:50 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
458 | 2022-03-15 18:58:51 | wearer | 1 | 48755 | 15 | 0.893 | 54596.9 |
457 | 2022-03-14 20:48:27 | wearer | 1 | 48755 | 15 | 1.280 | 38089.8 |
456 | 2022-03-12 22:07:10 | wearer | 1 | 48755 | 15 | 0.906 | 53813.5 |
455 | 2022-02-08 23:58:27 | wearer | 1 | 48755 | 15 | 0.733 | 66514.3 |
454 | 2022-01-21 17:15:36 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
453 | 2022-01-20 15:32:22 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
452 | 2022-01-19 22:05:41 | wearer | 1 | 48755 | 15 | 0.763 | 63899.1 |
451 | 2022-01-18 22:27:27 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
450 | 2022-01-17 08:02:17 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
449 | 2022-01-05 11:59:08 | wearer | 1 | 48755 | 15 | 0.783 | 62266.9 |
448 | 2021-12-31 21:23:39 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
447 | 2021-12-31 10:41:17 | wearer | 1 | 48755 | 15 | 1.783 | 27344.4 |
446 | 2021-12-30 17:12:37 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
445 | 2021-12-30 02:45:21 | wearer | 1 | 48755 | 15 | 2.096 | 23261.0 |
444 | 2021-12-29 15:54:23 | wearer | 1 | 48755 | 15 | 0.766 | 63648.8 |
443 | 2021-12-29 06:58:49 | wearer | 1 | 48755 | 15 | 0.873 | 55847.7 |
442 | 2021-12-28 15:16:50 | wearer | 1 | 48755 | 15 | 1.670 | 29194.6 |
441 | 2021-12-27 19:05:34 | wearer | 1 | 48755 | 15 | 0.906 | 53813.5 |
440 | 2021-12-27 02:17:46 | wearer | 1 | 48755 | 15 | 0.780 | 62506.4 |
439 | 2021-12-26 15:32:14 | wearer | 1 | 48755 | 15 | 1.030 | 47335.0 |
438 | 2021-12-26 06:44:05 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
437 | 2021-12-25 14:27:36 | wearer | 1 | 48755 | 15 | 0.860 | 56691.9 |
436 | 2021-12-25 01:44:29 | wearer | 1 | 48755 | 15 | 0.830 | 58741.0 |
435 | 2021-12-24 12:03:06 | wearer | 1 | 48755 | 15 | 0.766 | 63648.8 |
434 | 2021-12-24 04:52:28 | wearer | 1 | 48755 | 15 | 0.780 | 62506.4 |
433 | 2021-12-19 14:08:46 | wearer | 1 | 48755 | 15 | 1.736 | 28084.7 |
432 | 2021-12-19 02:08:56 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
431 | 2021-12-18 21:07:40 | wearer | 1 | 48755 | 15 | 1.486 | 32809.6 |
430 | 2021-12-18 15:11:13 | wearer | 1 | 48755 | 15 | 0.780 | 62506.4 |
429 | 2021-12-17 08:13:25 | wearer | 1 | 48755 | 15 | 0.780 | 62506.4 |
428 | 2021-12-16 11:31:23 | wearer | 1 | 48755 | 15 | 0.750 | 65006.7 |
427 | 2021-12-15 15:58:57 | wearer | 1 | 48755 | 15 | 0.766 | 63648.8 |
426 | 2021-12-15 10:51:32 | wearer | 1 | 48755 | 15 | 0.783 | 62266.9 |
425 | 2021-12-14 06:39:52 | wearer | 1 | 48755 | 15 | 0.783 | 62266.9 |
424 | 2021-12-13 17:28:01 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
423 | 2021-12-12 21:38:24 | wearer | 1 | 48755 | 15 | 0.936 | 52088.7 |
422 | 2021-12-12 11:27:59 | wearer | 1 | 48755 | 15 | 0.846 | 57630.0 |
421 | 2021-12-11 22:58:20 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
420 | 2021-12-10 21:29:19 | wearer | 1 | 48755 | 15 | 0.830 | 58741.0 |
419 | 2021-12-09 22:07:45 | wearer | 1 | 48755 | 15 | 0.846 | 57630.0 |
418 | 2021-12-08 22:37:10 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
417 | 2021-12-07 23:02:07 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
416 | 2021-12-07 12:25:59 | wearer | 1 | 48755 | 15 | 0.830 | 58741.0 |
415 | 2021-12-07 02:36:22 | wearer | 1 | 48755 | 15 | 0.876 | 55656.4 |
414 | 2021-12-06 16:30:09 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
413 | 2021-12-05 19:17:36 | wearer | 1 | 48755 | 15 | 0.843 | 57835.1 |
412 | 2021-12-02 09:41:23 | wearer | 1 | 48755 | 15 | 0.733 | 66514.3 |
411 | 2021-12-01 22:51:48 | wearer | 1 | 48755 | 15 | 0.796 | 61250.0 |
410 | 2021-12-01 11:06:18 | wearer | 1 | 48755 | 15 | 0.826 | 59025.4 |
409 | 2021-12-01 10:19:22 | wearer | 1 | 48755 | 15 | 0.800 | 60943.8 |
408 | 2021-11-30 22:09:04 | wearer | 1 | 48755 | 15 | 0.936 | 52088.7 |
407 | 2021-11-30 09:51:40 | wearer | 1 | 48755 | 15 | 1.203 | 40527.8 |
406 | 2021-11-29 17:37:37 | wearer | 1 | 48755 | 15 | 1.906 | 25579.7 |
405 | 2021-11-29 05:03:47 | wearer | 1 | 48755 | 15 | 0.813 | 59969.2 |
404 | 2021-11-28 22:45:30 | wearer | 1 | 48755 | 15 | 0.810 | 60191.4 |