History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"toughnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
429 | 2025-09-05 23:49:26 | toughnesses | 4 | 148819 | 328 | 9.483 | 15693.2 |
428 | 2025-08-31 05:17:35 | toughnesses | 3 | 121633 | 44 | 5.126 | 23728.6 |
427 | 2025-08-26 10:22:23 | toughnesses | 4 | 148819 | 328 | 11.940 | 12463.9 |
426 | 2025-08-26 10:20:21 | toughnesses | 3 | 121633 | 44 | 5.003 | 24312.0 |
425 | 2025-08-25 17:49:50 | toughnesses | 2 | 86808 | 4 | 8.500 | 10212.7 |
424 | 2025-08-25 17:49:46 | toughnesses | 2 | 86808 | 4 | 7.906 | 10980.0 |
423 | 2025-08-25 17:48:33 | toughnesses | 3 | 121633 | 44 | 28.736 | 4232.8 |
422 | 2025-08-23 23:01:59 | toughnesses | 1 | 49908 | 2 | 0.783 | 63739.5 |
421 | 2025-08-23 23:01:45 | toughnesses | 1 | 49908 | 2 | 0.733 | 68087.3 |
420 | 2025-08-22 20:22:25 | toughnesses | 3 | 121633 | 44 | 22.156 | 5489.8 |
419 | 2025-08-13 19:20:50 | toughnesses | 1 | 49908 | 2 | 4.080 | 12232.4 |
418 | 2025-08-11 20:18:51 | toughnesses | 4 | 148819 | 328 | 35.846 | 4151.6 |
417 | 2025-08-11 02:27:38 | toughnesses | 3 | 121633 | 44 | 23.390 | 5200.2 |
416 | 2025-08-11 01:27:19 | toughnesses | 2 | 86808 | 4 | 2.030 | 42762.6 |
415 | 2025-08-08 02:56:35 | toughnesses | 4 | 148819 | 328 | 9.483 | 15693.2 |
414 | 2025-08-08 02:53:25 | toughnesses | 4 | 148819 | 328 | 9.050 | 16444.1 |
413 | 2025-08-07 17:46:39 | toughnesses | 1 | 49908 | 2 | 1.703 | 29305.9 |
412 | 2025-08-07 12:17:10 | toughnesses | 3 | 121633 | 44 | 26.613 | 4570.4 |
411 | 2025-08-07 12:04:17 | toughnesses | 2 | 86808 | 4 | 10.703 | 8110.6 |
410 | 2025-08-03 19:14:49 | toughnesses | 1 | 49908 | 2 | 0.846 | 58992.9 |
409 | 2025-08-01 19:35:02 | toughnesses | 1 | 49908 | 2 | 6.500 | 7678.2 |
408 | 2025-08-01 10:48:36 | toughnesses | 4 | 148819 | 328 | 30.473 | 4883.6 |
407 | 2025-07-19 19:10:56 | toughnesses | 4 | 148819 | 328 | 9.533 | 15610.9 |
406 | 2025-07-19 06:34:12 | toughnesses | 1 | 49908 | 2 | 0.890 | 56076.4 |
405 | 2025-07-16 21:36:56 | toughnesses | 3 | 121633 | 44 | 22.250 | 5466.7 |
404 | 2025-07-14 03:30:06 | toughnesses | 1 | 49908 | 2 | 3.470 | 14382.7 |
403 | 2025-07-14 02:29:56 | toughnesses | 1 | 49908 | 2 | 5.813 | 8585.6 |
402 | 2025-07-14 01:56:21 | toughnesses | 1 | 49908 | 2 | 5.250 | 9506.3 |
401 | 2025-07-11 21:17:49 | toughnesses | 4 | 148819 | 328 | 54.626 | 2724.3 |
400 | 2025-07-11 13:54:15 | toughnesses | 2 | 86808 | 4 | 6.216 | 13965.3 |
399 | 2025-07-09 19:07:42 | toughnesses | 4 | 148819 | 328 | 8.576 | 17353.0 |
398 | 2025-07-07 14:48:07 | toughnesses | 4 | 148819 | 328 | 36.713 | 4053.6 |
397 | 2025-07-06 15:53:32 | toughnesses | 4 | 148819 | 328 | 51.206 | 2906.3 |
396 | 2025-07-02 06:55:33 | toughnesses | 4 | 148819 | 328 | 45.173 | 3294.4 |
395 | 2025-06-30 13:59:31 | toughnesses | 4 | 148819 | 328 | 38.346 | 3881.0 |
393 | 2025-06-30 13:59:33 | toughnesses | 4 | 148819 | 328 | 36.610 | 4065.0 |
392 | 2025-06-28 22:57:46 | toughnesses | 1 | 49908 | 2 | 2.106 | 23698.0 |
391 | 2025-06-27 22:35:58 | toughnesses | 3 | 121633 | 44 | 22.780 | 5339.5 |
390 | 2025-06-27 13:29:29 | toughnesses | 1 | 49908 | 2 | 4.123 | 12104.8 |
389 | 2025-06-24 10:15:37 | toughnesses | 3 | 121633 | 44 | 20.783 | 5852.5 |
388 | 2025-06-19 01:00:32 | toughnesses | 2 | 86808 | 4 | 2.360 | 36783.1 |
387 | 2025-06-17 12:07:48 | toughnesses | 1 | 49908 | 2 | 0.766 | 65154.0 |
386 | 2025-06-11 23:04:05 | toughnesses | 1 | 49908 | 2 | 5.110 | 9766.7 |
385 | 2025-06-11 00:15:24 | toughnesses | 1 | 49908 | 2 | 2.516 | 19836.2 |
384 | 2025-06-02 06:01:37 | toughnesses | 4 | 148819 | 328 | 66.346 | 2243.1 |
383 | 2025-06-01 13:54:44 | toughnesses | 4 | 148819 | 328 | 9.610 | 15485.8 |
382 | 2025-05-29 17:06:47 | toughnesses | 1 | 49908 | 2 | 0.796 | 62698.5 |
381 | 2025-05-28 23:44:49 | toughnesses | 1 | 49908 | 2 | 3.813 | 13088.9 |
380 | 2025-05-27 18:56:41 | toughnesses | 1 | 49908 | 2 | 4.140 | 12055.1 |
379 | 2025-05-25 16:04:23 | toughnesses | 4 | 148819 | 328 | 8.296 | 17938.6 |
378 | 2025-05-24 13:28:33 | toughnesses | 1 | 49908 | 2 | 4.126 | 12096.0 |
377 | 2025-05-20 20:16:28 | toughnesses | 1 | 49908 | 2 | 0.733 | 68087.3 |
376 | 2025-05-17 09:56:40 | toughnesses | 4 | 148819 | 328 | 12.970 | 11474.1 |
375 | 2025-05-16 18:35:53 | toughnesses | 3 | 121633 | 44 | 13.810 | 8807.6 |
374 | 2025-05-15 10:39:01 | toughnesses | 4 | 148819 | 328 | 17.030 | 8738.6 |
373 | 2025-05-14 19:26:30 | toughnesses | 4 | 148819 | 328 | 9.280 | 16036.5 |
372 | 2025-05-10 20:45:09 | toughnesses | 1 | 49908 | 2 | 2.123 | 23508.2 |
371 | 2025-05-09 15:47:47 | toughnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
370 | 2025-05-09 00:15:09 | toughnesses | 3 | 121633 | 44 | 5.030 | 24181.5 |
369 | 2025-05-08 17:37:08 | toughnesses | 2 | 86808 | 4 | 13.516 | 6422.6 |
368 | 2025-05-08 17:35:20 | toughnesses | 3 | 121633 | 44 | 30.986 | 3925.4 |
367 | 2025-05-07 06:13:39 | toughnesses | 4 | 148819 | 328 | 11.516 | 12922.8 |
366 | 2025-05-06 20:44:25 | toughnesses | 4 | 148819 | 328 | 8.966 | 16598.1 |
365 | 2025-05-06 10:43:05 | toughnesses | 1 | 49908 | 2 | 5.453 | 9152.4 |
364 | 2025-05-05 13:37:22 | toughnesses | 4 | 148819 | 328 | 8.983 | 16566.7 |
363 | 2025-04-29 16:34:50 | toughnesses | 2 | 86808 | 4 | 2.436 | 35635.5 |
362 | 2025-04-27 19:19:59 | toughnesses | 3 | 121633 | 44 | 4.580 | 26557.4 |
361 | 2025-04-27 17:23:51 | toughnesses | 1 | 49908 | 2 | 2.220 | 22481.1 |
360 | 2025-04-26 22:49:13 | toughnesses | 3 | 121633 | 44 | 5.250 | 23168.2 |
359 | 2025-04-25 20:25:57 | toughnesses | 3 | 121633 | 44 | 23.296 | 5221.2 |
358 | 2025-04-24 06:54:29 | toughnesses | 3 | 121633 | 44 | 37.860 | 3212.7 |
357 | 2025-04-18 13:04:06 | toughnesses | 1 | 49908 | 2 | 6.046 | 8254.7 |
356 | 2025-04-13 22:21:43 | toughnesses | 1 | 49908 | 2 | 4.236 | 11781.9 |
355 | 2025-04-13 22:10:07 | toughnesses | 3 | 121633 | 44 | 25.173 | 4831.9 |
354 | 2025-04-13 09:21:57 | toughnesses | 4 | 148819 | 328 | 8.093 | 18388.6 |
353 | 2025-04-12 21:46:28 | toughnesses | 3 | 121633 | 44 | 10.830 | 11231.1 |
352 | 2025-04-12 19:08:31 | toughnesses | 2 | 86808 | 4 | 2.093 | 41475.4 |
351 | 2025-04-11 09:42:03 | toughnesses | 4 | 148819 | 328 | 47.190 | 3153.6 |
350 | 2025-04-10 12:33:17 | toughnesses | 1 | 49908 | 2 | 1.190 | 41939.5 |
349 | 2025-04-09 08:40:45 | toughnesses | 2 | 86808 | 4 | 9.576 | 9065.2 |
348 | 2025-04-09 02:43:28 | toughnesses | 3 | 121633 | 44 | 13.266 | 9168.8 |
347 | 2025-04-08 05:15:06 | toughnesses | 4 | 148819 | 328 | 9.546 | 15589.7 |
346 | 2025-04-05 13:21:15 | toughnesses | 4 | 148819 | 328 | 9.530 | 15615.8 |
345 | 2025-04-05 01:30:15 | toughnesses | 2 | 86808 | 4 | 2.326 | 37320.7 |
344 | 2025-04-05 01:25:17 | toughnesses | 3 | 121633 | 44 | 5.046 | 24104.8 |
343 | 2025-04-03 11:37:52 | toughnesses | 1 | 49908 | 2 | 0.750 | 66544.0 |
342 | 2025-04-02 21:40:00 | toughnesses | 1 | 49908 | 2 | 0.826 | 60421.3 |
341 | 2025-03-25 19:26:40 | toughnesses | 1 | 49908 | 2 | 4.080 | 12232.4 |
340 | 2025-03-15 20:28:20 | toughnesses | 1 | 49908 | 2 | 2.203 | 22654.6 |
339 | 2025-03-12 13:55:00 | toughnesses | 1 | 49908 | 2 | 1.500 | 33272.0 |
338 | 2025-03-11 18:08:39 | toughnesses | 1 | 49908 | 2 | 4.076 | 12244.4 |
337 | 2025-03-09 08:47:02 | toughnesses | 1 | 49908 | 2 | 1.920 | 25993.8 |
336 | 2025-02-16 09:16:19 | toughnesses | 1 | 49908 | 2 | 3.843 | 12986.7 |
335 | 2025-02-11 01:43:08 | toughnesses | 3 | 121633 | 44 | 20.940 | 5808.6 |
334 | 2025-02-10 12:36:36 | toughnesses | 3 | 121633 | 44 | 32.423 | 3751.4 |
333 | 2025-02-10 12:36:32 | toughnesses | 2 | 86808 | 4 | 15.626 | 5555.4 |
332 | 2025-02-10 12:34:05 | toughnesses | 1 | 49908 | 2 | 3.686 | 13539.9 |
331 | 2025-01-31 11:55:00 | toughnesses | 4 | 148819 | 328 | 40.546 | 3670.4 |
330 | 2025-01-31 07:36:25 | toughnesses | 4 | 148819 | 328 | 50.096 | 2970.7 |