History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"crispnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
477 | 2024-04-30 10:00:22 | crispnesses | 2 | 86808 | 6 | 5.703 | 15221.5 |
476 | 2024-04-30 09:58:46 | crispnesses | 1 | 49908 | 2 | 2.000 | 24954.0 |
475 | 2024-04-27 14:08:42 | crispnesses | 1 | 49908 | 2 | 3.046 | 16384.8 |
474 | 2024-04-26 10:08:05 | crispnesses | 4 | 148819 | 367 | 26.050 | 5712.8 |
473 | 2024-04-26 10:08:07 | crispnesses | 3 | 121633 | 53 | 17.673 | 6882.4 |
472 | 2024-04-26 10:08:00 | crispnesses | 2 | 86808 | 6 | 5.656 | 15347.9 |
471 | 2024-04-26 09:32:32 | crispnesses | 1 | 49908 | 2 | 0.876 | 56972.6 |
470 | 2024-04-21 18:26:08 | crispnesses | 3 | 121633 | 53 | 20.393 | 5964.4 |
469 | 2024-04-21 18:23:50 | crispnesses | 3 | 121633 | 53 | 21.423 | 5677.7 |
468 | 2024-04-21 13:00:09 | crispnesses | 4 | 148819 | 367 | 20.343 | 7315.5 |
467 | 2024-04-21 11:37:59 | crispnesses | 3 | 121633 | 53 | 13.233 | 9191.6 |
466 | 2024-04-21 00:38:25 | crispnesses | 4 | 148819 | 367 | 25.953 | 5734.2 |
465 | 2024-04-21 00:38:20 | crispnesses | 3 | 121633 | 53 | 12.096 | 10055.6 |
464 | 2024-04-21 00:38:20 | crispnesses | 2 | 86808 | 6 | 3.610 | 24046.5 |
463 | 2024-04-20 12:37:00 | crispnesses | 4 | 148819 | 367 | 37.096 | 4011.7 |
462 | 2024-04-20 11:57:35 | crispnesses | 4 | 148819 | 367 | 19.096 | 7793.2 |
461 | 2024-04-20 11:49:42 | crispnesses | 3 | 121633 | 53 | 25.530 | 4764.3 |
460 | 2024-04-20 11:49:42 | crispnesses | 4 | 148819 | 367 | 24.363 | 6108.4 |
459 | 2024-04-20 11:49:42 | crispnesses | 2 | 86808 | 6 | 4.610 | 18830.4 |
458 | 2024-04-20 11:49:07 | crispnesses | 1 | 49908 | 2 | 1.390 | 35905.0 |
457 | 2024-04-18 07:42:12 | crispnesses | 1 | 49908 | 2 | 0.953 | 52369.4 |
456 | 2024-03-29 11:57:40 | crispnesses | 1 | 49908 | 2 | 1.283 | 38899.5 |
455 | 2024-03-18 18:13:14 | crispnesses | 3 | 121633 | 53 | 15.910 | 7645.1 |
454 | 2024-03-18 18:13:14 | crispnesses | 2 | 86808 | 6 | 6.000 | 14468.0 |
453 | 2024-03-18 17:39:57 | crispnesses | 1 | 49908 | 2 | 0.796 | 62698.5 |
452 | 2024-03-13 01:44:48 | crispnesses | 1 | 49908 | 2 | 2.640 | 18904.5 |
451 | 2024-03-11 11:34:10 | crispnesses | 3 | 121633 | 53 | 16.923 | 7187.4 |
450 | 2024-03-10 23:17:14 | crispnesses | 4 | 148819 | 367 | 23.783 | 6257.4 |
449 | 2024-03-10 04:23:23 | crispnesses | 2 | 86808 | 6 | 5.750 | 15097.0 |
448 | 2024-03-10 04:19:18 | crispnesses | 1 | 49908 | 2 | 0.936 | 53320.5 |
447 | 2024-03-10 01:48:10 | crispnesses | 4 | 148819 | 367 | 21.236 | 7007.9 |
446 | 2024-03-10 01:48:10 | crispnesses | 3 | 121633 | 53 | 12.716 | 9565.4 |
445 | 2024-03-09 18:16:19 | crispnesses | 4 | 148819 | 367 | 35.546 | 4186.7 |
444 | 2024-03-09 18:14:55 | crispnesses | 3 | 121633 | 53 | 16.783 | 7247.4 |
443 | 2024-03-09 18:14:52 | crispnesses | 2 | 86808 | 6 | 3.033 | 28621.2 |
442 | 2024-03-09 14:29:16 | crispnesses | 4 | 148819 | 367 | 10.876 | 13683.2 |
441 | 2024-03-09 14:29:08 | crispnesses | 3 | 121633 | 53 | 6.046 | 20117.9 |
440 | 2024-03-09 14:29:09 | crispnesses | 1 | 49908 | 2 | 0.906 | 55086.1 |
439 | 2024-03-09 14:28:59 | crispnesses | 2 | 86808 | 6 | 2.593 | 33477.8 |
438 | 2024-03-09 14:28:40 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
437 | 2024-02-15 11:26:42 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
436 | 2024-02-14 13:32:21 | crispnesses | 4 | 148819 | 367 | 15.686 | 9487.4 |
435 | 2024-02-14 13:32:20 | crispnesses | 3 | 121633 | 53 | 12.393 | 9814.7 |
434 | 2024-02-14 13:32:18 | crispnesses | 2 | 86808 | 6 | 5.610 | 15473.8 |
433 | 2024-02-14 13:26:35 | crispnesses | 1 | 49908 | 2 | 0.890 | 56076.4 |
432 | 2024-02-10 13:59:09 | crispnesses | 2 | 86808 | 6 | 5.813 | 14933.4 |
431 | 2024-02-10 12:55:05 | crispnesses | 1 | 49908 | 2 | 0.826 | 60421.3 |
430 | 2024-02-08 14:44:18 | crispnesses | 3 | 121633 | 53 | 6.450 | 18857.8 |
429 | 2024-02-08 14:44:14 | crispnesses | 2 | 86808 | 6 | 2.830 | 30674.2 |
428 | 2024-02-08 14:38:06 | crispnesses | 4 | 148819 | 367 | 19.236 | 7736.5 |
427 | 2024-02-08 14:20:55 | crispnesses | 4 | 148819 | 367 | 28.596 | 5204.2 |
426 | 2024-02-08 13:51:27 | crispnesses | 1 | 49908 | 2 | 0.873 | 57168.4 |
425 | 2024-02-07 20:27:08 | crispnesses | 4 | 148819 | 367 | 25.126 | 5922.9 |
424 | 2024-02-07 20:27:06 | crispnesses | 3 | 121633 | 53 | 6.970 | 17450.9 |
423 | 2024-02-07 20:27:07 | crispnesses | 2 | 86808 | 6 | 5.593 | 15520.8 |
422 | 2024-02-07 20:25:48 | crispnesses | 3 | 121633 | 53 | 6.266 | 19411.6 |
421 | 2024-02-07 20:25:41 | crispnesses | 4 | 148819 | 367 | 11.796 | 12616.1 |
420 | 2024-02-07 20:25:45 | crispnesses | 2 | 86808 | 6 | 3.093 | 28066.0 |
419 | 2024-02-07 20:21:03 | crispnesses | 1 | 49908 | 2 | 0.920 | 54247.8 |
418 | 2024-02-07 20:20:59 | crispnesses | 1 | 49908 | 2 | 1.826 | 27331.9 |
417 | 2024-01-30 11:52:25 | crispnesses | 1 | 49908 | 2 | 0.830 | 60130.1 |
416 | 2024-01-02 21:24:17 | crispnesses | 1 | 49908 | 2 | 0.940 | 53093.6 |
415 | 2023-12-14 08:27:40 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
414 | 2023-12-02 01:17:49 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
413 | 2023-11-25 11:51:35 | crispnesses | 1 | 49908 | 2 | 0.783 | 63739.5 |
412 | 2023-11-14 15:53:54 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
411 | 2023-10-29 15:48:30 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
410 | 2023-10-17 13:20:57 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
409 | 2023-10-14 18:41:10 | crispnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
408 | 2023-09-11 07:25:02 | crispnesses | 1 | 49908 | 2 | 0.940 | 53093.6 |
407 | 2023-08-21 09:19:47 | crispnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
406 | 2023-06-23 04:46:01 | crispnesses | 1 | 49908 | 2 | 0.830 | 60130.1 |
405 | 2023-04-26 10:05:46 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
404 | 2023-04-02 01:56:18 | crispnesses | 1 | 49908 | 2 | 0.826 | 60421.3 |
403 | 2023-01-14 22:51:49 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
402 | 2022-12-30 02:48:00 | crispnesses | 1 | 49908 | 2 | 0.813 | 61387.5 |
401 | 2022-11-05 20:24:35 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
400 | 2022-08-26 05:55:12 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
399 | 2022-06-28 07:39:26 | crispnesses | 1 | 49908 | 2 | 0.763 | 65410.2 |
398 | 2022-06-26 01:36:22 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
397 | 2022-04-18 13:06:52 | crispnesses | 1 | 49908 | 2 | 0.763 | 65410.2 |
396 | 2022-03-16 04:54:08 | crispnesses | 1 | 49908 | 2 | 1.000 | 49908.0 |
395 | 2021-12-20 20:31:52 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
394 | 2021-09-07 03:44:27 | crispnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
393 | 2021-06-06 04:47:40 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
392 | 2021-06-03 00:12:13 | crispnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
391 | 2021-04-22 21:56:42 | crispnesses | 4 | 148819 | 367 | 9.436 | 15771.4 |
390 | 2021-03-14 03:32:34 | crispnesses | 4 | 148819 | 367 | 8.110 | 18350.1 |
389 | 2021-03-07 11:39:26 | crispnesses | 1 | 49908 | 2 | 0.986 | 50616.6 |
388 | 2021-02-28 12:05:15 | crispnesses | 1 | 49908 | 2 | 0.780 | 63984.6 |
387 | 2021-02-11 10:54:32 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
386 | 2021-02-03 11:50:45 | crispnesses | 4 | 148819 | 367 | 8.640 | 17224.4 |
385 | 2020-11-23 23:25:29 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
384 | 2020-11-23 11:11:46 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
383 | 2020-11-07 20:34:37 | crispnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
382 | 2020-10-26 18:40:25 | crispnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
381 | 2020-10-21 08:06:00 | crispnesses | 4 | 148819 | 367 | 8.280 | 17973.3 |
380 | 2020-09-12 12:07:52 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
379 | 2020-08-16 00:45:03 | crispnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
378 | 2020-07-14 09:26:15 | crispnesses | 1 | 49908 | 2 | 0.890 | 56076.4 |