History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"alertnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
492 | 2024-04-25 18:22:58 | alertnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
491 | 2024-04-25 11:02:23 | alertnesses | 4 | 148819 | 416 | 39.706 | 3748.0 |
490 | 2024-04-25 11:02:29 | alertnesses | 2 | 86808 | 8 | 4.720 | 18391.5 |
489 | 2024-04-25 11:02:22 | alertnesses | 3 | 121633 | 69 | 6.533 | 18618.2 |
488 | 2024-04-25 10:43:34 | alertnesses | 1 | 49908 | 1 | 3.030 | 16471.3 |
487 | 2024-04-17 19:45:52 | alertnesses | 2 | 86808 | 8 | 5.610 | 15473.8 |
486 | 2024-04-17 19:38:36 | alertnesses | 1 | 49908 | 1 | 0.780 | 63984.6 |
485 | 2024-04-17 19:38:30 | alertnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
484 | 2024-04-04 05:48:20 | alertnesses | 4 | 148819 | 416 | 19.266 | 7724.4 |
483 | 2024-04-04 03:41:18 | alertnesses | 2 | 86808 | 8 | 4.766 | 18214.0 |
482 | 2024-04-04 03:38:11 | alertnesses | 1 | 49908 | 1 | 1.843 | 27079.8 |
481 | 2024-04-04 00:27:03 | alertnesses | 4 | 148819 | 416 | 42.376 | 3511.9 |
480 | 2024-04-03 05:29:56 | alertnesses | 3 | 121633 | 69 | 13.266 | 9168.8 |
479 | 2024-04-02 13:59:37 | alertnesses | 1 | 49908 | 1 | 2.813 | 17741.9 |
478 | 2024-04-02 13:43:20 | alertnesses | 3 | 121633 | 69 | 10.686 | 11382.5 |
477 | 2024-04-02 13:43:17 | alertnesses | 4 | 148819 | 416 | 10.190 | 14604.4 |
476 | 2024-04-02 13:43:19 | alertnesses | 2 | 86808 | 8 | 2.560 | 33909.4 |
475 | 2024-03-19 14:15:39 | alertnesses | 3 | 121633 | 69 | 9.986 | 12180.4 |
474 | 2024-03-18 18:09:14 | alertnesses | 2 | 86808 | 8 | 8.000 | 10851.0 |
473 | 2024-03-18 18:09:16 | alertnesses | 3 | 121633 | 69 | 6.546 | 18581.3 |
472 | 2024-03-18 17:52:13 | alertnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
471 | 2024-03-14 02:34:04 | alertnesses | 1 | 49908 | 1 | 2.876 | 17353.3 |
470 | 2024-03-11 10:23:19 | alertnesses | 1 | 49908 | 1 | 2.796 | 17849.8 |
469 | 2024-03-09 14:24:08 | alertnesses | 1 | 49908 | 1 | 0.716 | 69703.9 |
468 | 2024-03-08 15:34:53 | alertnesses | 4 | 148819 | 416 | 29.456 | 5052.2 |
467 | 2024-03-04 15:19:13 | alertnesses | 4 | 148819 | 416 | 23.720 | 6274.0 |
466 | 2024-03-03 03:34:26 | alertnesses | 4 | 148819 | 416 | 26.296 | 5659.4 |
465 | 2024-03-02 14:29:02 | alertnesses | 2 | 86808 | 8 | 6.516 | 13322.3 |
464 | 2024-02-22 23:39:35 | alertnesses | 4 | 148819 | 416 | 9.923 | 14997.4 |
463 | 2024-02-22 23:39:34 | alertnesses | 3 | 121633 | 69 | 5.610 | 21681.5 |
462 | 2024-02-22 23:39:34 | alertnesses | 2 | 86808 | 8 | 2.513 | 34543.6 |
461 | 2024-02-13 16:36:31 | alertnesses | 2 | 86808 | 8 | 16.533 | 5250.6 |
460 | 2024-02-13 15:53:59 | alertnesses | 3 | 121633 | 69 | 18.690 | 6507.9 |
459 | 2024-02-13 09:14:16 | alertnesses | 2 | 86808 | 8 | 2.813 | 30859.6 |
458 | 2024-02-13 07:53:50 | alertnesses | 4 | 148819 | 416 | 21.330 | 6977.0 |
457 | 2024-02-13 07:19:26 | alertnesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
456 | 2024-02-13 07:14:18 | alertnesses | 3 | 121633 | 69 | 10.766 | 11297.9 |
455 | 2024-02-12 13:46:41 | alertnesses | 3 | 121633 | 69 | 10.626 | 11446.7 |
454 | 2024-02-12 13:46:42 | alertnesses | 2 | 86808 | 8 | 2.626 | 33057.1 |
453 | 2024-02-12 13:45:22 | alertnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
452 | 2024-02-12 03:23:01 | alertnesses | 1 | 49908 | 1 | 1.030 | 48454.4 |
451 | 2024-02-10 01:55:01 | alertnesses | 2 | 86808 | 8 | 19.656 | 4416.4 |
450 | 2024-02-10 01:22:15 | alertnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
449 | 2024-02-09 10:32:35 | alertnesses | 3 | 121633 | 69 | 6.013 | 20228.3 |
448 | 2024-02-09 10:32:36 | alertnesses | 2 | 86808 | 8 | 2.733 | 31762.9 |
447 | 2024-02-09 10:29:30 | alertnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |
446 | 2024-02-05 18:06:10 | alertnesses | 1 | 49908 | 1 | 1.610 | 30998.8 |
445 | 2024-01-23 16:34:35 | alertnesses | 4 | 148819 | 416 | 33.533 | 4438.0 |
444 | 2024-01-23 06:33:05 | alertnesses | 4 | 148819 | 416 | 27.936 | 5327.1 |
443 | 2024-01-23 06:33:04 | alertnesses | 3 | 121633 | 69 | 19.266 | 6313.3 |
442 | 2024-01-23 06:32:55 | alertnesses | 2 | 86808 | 8 | 8.140 | 10664.4 |
441 | 2024-01-05 07:59:12 | alertnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
440 | 2024-01-02 20:00:58 | alertnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
439 | 2023-12-04 16:40:27 | alertnesses | 1 | 49908 | 1 | 0.906 | 55086.1 |
438 | 2023-11-22 04:52:49 | alertnesses | 2 | 86808 | 8 | 2.406 | 36079.8 |
437 | 2023-11-08 05:45:09 | alertnesses | 1 | 49908 | 1 | 0.906 | 55086.1 |
436 | 2023-11-04 00:57:17 | alertnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |
435 | 2023-10-31 09:57:45 | alertnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
434 | 2023-10-24 18:43:31 | alertnesses | 1 | 49908 | 1 | 0.783 | 63739.5 |
433 | 2023-10-20 06:35:33 | alertnesses | 1 | 49908 | 1 | 1.720 | 29016.3 |
432 | 2023-08-22 23:53:33 | alertnesses | 2 | 86808 | 8 | 2.266 | 38308.9 |
431 | 2023-08-21 16:25:44 | alertnesses | 1 | 49908 | 1 | 0.716 | 69703.9 |
430 | 2023-08-09 03:51:24 | alertnesses | 4 | 148819 | 416 | 8.486 | 17537.0 |
429 | 2023-07-09 10:23:50 | alertnesses | 1 | 49908 | 1 | 0.796 | 62698.5 |
428 | 2023-05-24 19:34:41 | alertnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
427 | 2023-05-18 13:04:34 | alertnesses | 4 | 148819 | 416 | 8.060 | 18463.9 |
426 | 2023-05-07 21:49:14 | alertnesses | 2 | 86808 | 8 | 2.016 | 43059.5 |
425 | 2023-03-22 03:45:06 | alertnesses | 1 | 49908 | 1 | 0.716 | 69703.9 |
424 | 2023-03-15 14:09:05 | alertnesses | 1 | 49908 | 1 | 0.856 | 58303.7 |
423 | 2023-02-15 18:49:04 | alertnesses | 2 | 86808 | 8 | 2.280 | 38073.7 |
422 | 2023-02-08 20:37:05 | alertnesses | 4 | 148819 | 416 | 8.266 | 18003.8 |
421 | 2023-02-03 07:01:49 | alertnesses | 4 | 148819 | 416 | 8.173 | 18208.6 |
420 | 2023-01-22 21:48:17 | alertnesses | 3 | 121633 | 69 | 4.390 | 27706.8 |
419 | 2023-01-07 07:54:02 | alertnesses | 1 | 49908 | 1 | 0.703 | 70992.9 |
418 | 2023-01-06 18:32:42 | alertnesses | 3 | 121633 | 69 | 5.376 | 22625.2 |
417 | 2022-12-24 16:47:33 | alertnesses | 4 | 148819 | 416 | 9.700 | 15342.2 |
416 | 2022-12-18 06:20:15 | alertnesses | 4 | 148819 | 416 | 8.640 | 17224.4 |
415 | 2022-12-08 17:45:36 | alertnesses | 3 | 121633 | 69 | 4.423 | 27500.1 |
414 | 2022-11-29 11:44:48 | alertnesses | 4 | 148819 | 416 | 8.000 | 18602.4 |
413 | 2022-11-26 20:48:43 | alertnesses | 2 | 86808 | 8 | 2.033 | 42699.5 |
412 | 2022-11-20 17:25:35 | alertnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
411 | 2022-11-19 00:20:44 | alertnesses | 4 | 148819 | 416 | 9.546 | 15589.7 |
410 | 2022-10-28 22:26:41 | alertnesses | 3 | 121633 | 69 | 4.423 | 27500.1 |
409 | 2022-10-09 21:45:54 | alertnesses | 4 | 148819 | 416 | 8.250 | 18038.7 |
408 | 2022-10-09 09:55:07 | alertnesses | 4 | 148819 | 416 | 8.123 | 18320.7 |
407 | 2022-10-09 07:51:02 | alertnesses | 4 | 148819 | 416 | 8.313 | 17902.0 |
406 | 2022-10-06 03:43:22 | alertnesses | 4 | 148819 | 416 | 10.550 | 14106.1 |
405 | 2022-10-05 09:53:55 | alertnesses | 4 | 148819 | 416 | 9.593 | 15513.3 |
404 | 2022-10-04 19:38:52 | alertnesses | 4 | 148819 | 416 | 9.640 | 15437.7 |
403 | 2022-10-03 08:47:22 | alertnesses | 4 | 148819 | 416 | 9.656 | 15412.1 |
402 | 2022-10-02 03:09:15 | alertnesses | 4 | 148819 | 416 | 9.580 | 15534.3 |
401 | 2022-10-01 09:46:45 | alertnesses | 1 | 49908 | 1 | 0.720 | 69316.7 |
400 | 2022-10-01 05:55:21 | alertnesses | 4 | 148819 | 416 | 9.593 | 15513.3 |
399 | 2022-09-30 14:56:13 | alertnesses | 4 | 148819 | 416 | 10.076 | 14769.7 |
398 | 2022-09-29 08:20:05 | alertnesses | 4 | 148819 | 416 | 9.940 | 14971.7 |
397 | 2022-09-28 05:33:17 | alertnesses | 4 | 148819 | 416 | 9.546 | 15589.7 |
396 | 2022-09-27 06:34:37 | alertnesses | 4 | 148819 | 416 | 9.780 | 15216.7 |
395 | 2022-09-26 14:11:28 | alertnesses | 4 | 148819 | 416 | 9.486 | 15688.3 |
394 | 2022-09-25 09:52:13 | alertnesses | 4 | 148819 | 416 | 9.766 | 15238.5 |
393 | 2022-09-24 06:08:15 | alertnesses | 4 | 148819 | 416 | 10.000 | 14881.9 |