History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"freshest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
466 | 2025-09-09 23:20:56 | freshest | 3 | 146162 | 158 | 6.830 | 21400.0 |
465 | 2025-09-05 06:10:08 | freshest | 2 | 121059 | 17 | 3.300 | 36684.5 |
464 | 2025-08-28 22:27:38 | freshest | 2 | 121059 | 17 | 3.643 | 33230.6 |
463 | 2025-08-28 12:49:48 | freshest | 1 | 82945 | 4 | 1.483 | 55930.5 |
462 | 2025-08-27 11:25:24 | freshest | 1 | 82945 | 4 | 1.310 | 63316.8 |
461 | 2025-08-25 09:17:28 | freshest | 1 | 82945 | 4 | 3.643 | 22768.3 |
460 | 2025-08-25 03:18:59 | freshest | 1 | 82945 | 4 | 7.470 | 11103.7 |
459 | 2025-08-16 22:24:58 | freshest | 3 | 146162 | 158 | 21.766 | 6715.2 |
458 | 2025-08-13 04:43:04 | freshest | 1 | 82945 | 4 | 4.826 | 17187.1 |
457 | 2025-08-11 19:19:02 | freshest | 3 | 146162 | 158 | 21.140 | 6914.0 |
456 | 2025-08-07 10:40:33 | freshest | 1 | 82945 | 4 | 2.640 | 31418.6 |
455 | 2025-08-02 03:53:02 | freshest | 1 | 82945 | 4 | 10.516 | 7887.5 |
454 | 2025-07-28 23:48:40 | freshest | 2 | 121059 | 17 | 8.796 | 13763.0 |
453 | 2025-07-27 14:35:19 | freshest | 1 | 82945 | 4 | 2.936 | 28251.0 |
452 | 2025-07-26 06:16:08 | freshest | 2 | 121059 | 17 | 4.343 | 27874.5 |
451 | 2025-07-25 07:14:13 | freshest | 1 | 82945 | 4 | 5.096 | 16276.5 |
450 | 2025-07-25 02:01:47 | freshest | 3 | 146162 | 158 | 29.533 | 4949.1 |
449 | 2025-07-24 11:32:14 | freshest | 3 | 146162 | 158 | 33.890 | 4312.8 |
448 | 2025-07-22 14:32:12 | freshest | 1 | 82945 | 4 | 4.923 | 16848.5 |
447 | 2025-07-22 09:57:35 | freshest | 1 | 82945 | 4 | 2.923 | 28376.7 |
446 | 2025-07-20 13:01:06 | freshest | 3 | 146162 | 158 | 7.953 | 18378.2 |
445 | 2025-07-16 22:28:26 | freshest | 3 | 146162 | 158 | 17.803 | 8210.0 |
444 | 2025-07-16 04:25:08 | freshest | 3 | 146162 | 158 | 31.156 | 4691.3 |
443 | 2025-07-15 20:27:40 | freshest | 1 | 82945 | 4 | 1.313 | 63172.1 |
442 | 2025-07-14 08:25:40 | freshest | 2 | 121059 | 17 | 13.330 | 9081.7 |
441 | 2025-07-09 09:49:57 | freshest | 2 | 121059 | 17 | 3.483 | 34757.1 |
440 | 2025-07-08 16:02:22 | freshest | 3 | 146162 | 158 | 19.953 | 7325.3 |
439 | 2025-07-07 23:13:40 | freshest | 2 | 121059 | 17 | 11.686 | 10359.3 |
438 | 2025-07-06 10:14:11 | freshest | 3 | 146162 | 158 | 6.640 | 22012.3 |
437 | 2025-07-06 04:10:30 | freshest | 3 | 146162 | 158 | 7.673 | 19048.9 |
436 | 2025-07-05 23:52:57 | freshest | 1 | 82945 | 4 | 1.470 | 56425.2 |
435 | 2025-07-04 03:10:08 | freshest | 3 | 146162 | 158 | 54.003 | 2706.6 |
434 | 2025-07-02 17:36:28 | freshest | 3 | 146162 | 158 | 34.613 | 4222.7 |
433 | 2025-07-02 02:15:32 | freshest | 1 | 82945 | 4 | 11.063 | 7497.5 |
432 | 2025-06-28 11:44:08 | freshest | 2 | 121059 | 17 | 19.690 | 6148.2 |
431 | 2025-06-26 20:13:53 | freshest | 2 | 121059 | 17 | 17.923 | 6754.4 |
430 | 2025-06-25 03:42:30 | freshest | 3 | 146162 | 158 | 30.796 | 4746.1 |
429 | 2025-06-23 13:03:19 | freshest | 3 | 146162 | 158 | 6.530 | 22383.2 |
428 | 2025-06-23 09:15:46 | freshest | 1 | 82945 | 4 | 7.513 | 11040.2 |
427 | 2025-06-16 21:57:45 | freshest | 1 | 82945 | 4 | 3.186 | 26034.2 |
426 | 2025-06-13 21:55:24 | freshest | 3 | 146162 | 158 | 38.713 | 3775.5 |
425 | 2025-06-13 00:41:19 | freshest | 3 | 146162 | 158 | 6.640 | 22012.3 |
424 | 2025-06-09 17:33:10 | freshest | 1 | 82945 | 4 | 1.436 | 57761.1 |
423 | 2025-06-09 14:02:21 | freshest | 1 | 82945 | 4 | 2.373 | 34953.6 |
422 | 2025-06-07 11:57:28 | freshest | 3 | 146162 | 158 | 13.250 | 11031.1 |
421 | 2025-06-06 23:23:08 | freshest | 1 | 82945 | 4 | 5.843 | 14195.6 |
420 | 2025-06-06 22:18:03 | freshest | 2 | 121059 | 17 | 15.720 | 7701.0 |
419 | 2025-05-29 12:40:56 | freshest | 1 | 82945 | 4 | 6.640 | 12491.7 |
418 | 2025-05-24 02:55:25 | freshest | 3 | 146162 | 158 | 35.460 | 4121.9 |
417 | 2025-05-22 09:07:29 | freshest | 2 | 121059 | 17 | 13.143 | 9210.9 |
416 | 2025-05-22 02:42:21 | freshest | 3 | 146162 | 158 | 50.046 | 2920.6 |
415 | 2025-05-21 09:34:57 | freshest | 1 | 82945 | 4 | 1.483 | 55930.5 |
414 | 2025-05-18 12:59:11 | freshest | 1 | 82945 | 4 | 10.783 | 7692.2 |
413 | 2025-05-13 11:10:36 | freshest | 1 | 82945 | 4 | 1.453 | 57085.3 |
412 | 2025-05-12 20:45:13 | freshest | 1 | 82945 | 4 | 1.423 | 58288.8 |
411 | 2025-05-06 19:02:36 | freshest | 1 | 82945 | 4 | 8.266 | 10034.5 |
410 | 2025-05-06 03:32:28 | freshest | 1 | 82945 | 4 | 7.356 | 11275.8 |
409 | 2025-04-28 00:06:26 | freshest | 1 | 82945 | 4 | 8.643 | 9596.8 |
408 | 2025-04-26 01:29:33 | freshest | 1 | 82945 | 4 | 7.016 | 11822.3 |
407 | 2025-04-18 09:05:53 | freshest | 1 | 82945 | 4 | 6.750 | 12288.1 |
406 | 2025-04-14 12:41:18 | freshest | 1 | 82945 | 4 | 7.346 | 11291.2 |
405 | 2025-04-03 02:42:18 | freshest | 1 | 82945 | 4 | 5.936 | 13973.2 |
404 | 2025-03-28 22:26:54 | freshest | 2 | 121059 | 17 | 18.860 | 6418.8 |
403 | 2025-03-27 06:43:25 | freshest | 2 | 121059 | 17 | 17.906 | 6760.8 |
402 | 2025-03-25 02:01:24 | freshest | 2 | 121059 | 17 | 25.550 | 4738.1 |
401 | 2025-03-23 17:04:18 | freshest | 3 | 146162 | 158 | 55.333 | 2641.5 |
400 | 2025-03-22 03:36:37 | freshest | 3 | 146162 | 158 | 7.516 | 19446.8 |
399 | 2025-03-20 14:22:03 | freshest | 3 | 146162 | 158 | 48.283 | 3027.2 |
398 | 2025-03-17 21:17:18 | freshest | 3 | 146162 | 158 | 19.626 | 7447.4 |
397 | 2025-03-17 17:51:40 | freshest | 3 | 146162 | 158 | 35.156 | 4157.5 |
396 | 2025-03-17 03:39:26 | freshest | 1 | 82945 | 4 | 3.546 | 23391.1 |
395 | 2025-03-17 03:36:33 | freshest | 3 | 146162 | 158 | 34.630 | 4220.7 |
394 | 2025-03-15 09:50:16 | freshest | 1 | 82945 | 4 | 7.376 | 11245.3 |
393 | 2025-03-13 22:25:13 | freshest | 1 | 82945 | 4 | 12.580 | 6593.4 |
392 | 2025-03-12 06:33:07 | freshest | 3 | 146162 | 158 | 37.516 | 3896.0 |
391 | 2025-03-09 03:52:04 | freshest | 2 | 121059 | 17 | 13.846 | 8743.2 |
390 | 2025-03-09 03:51:32 | freshest | 1 | 82945 | 4 | 6.453 | 12853.7 |
389 | 2025-03-01 03:44:47 | freshest | 1 | 82945 | 4 | 10.640 | 7795.6 |
388 | 2025-02-28 01:48:04 | freshest | 1 | 82945 | 4 | 6.763 | 12264.5 |
387 | 2025-02-15 07:52:39 | freshest | 3 | 146162 | 158 | 34.343 | 4255.9 |
386 | 2025-02-14 10:25:54 | freshest | 3 | 146162 | 158 | 38.750 | 3771.9 |
385 | 2025-02-12 17:17:56 | freshest | 3 | 146162 | 158 | 38.550 | 3791.5 |
384 | 2025-02-12 02:38:38 | freshest | 3 | 146162 | 158 | 39.923 | 3661.1 |
383 | 2025-02-12 02:38:36 | freshest | 2 | 121059 | 17 | 14.156 | 8551.8 |
382 | 2025-02-12 02:37:36 | freshest | 1 | 82945 | 4 | 5.686 | 14587.6 |
381 | 2025-02-05 09:03:15 | freshest | 1 | 82945 | 4 | 3.360 | 24686.0 |
380 | 2025-01-31 05:09:49 | freshest | 1 | 82945 | 4 | 5.440 | 15247.2 |
379 | 2025-01-25 02:34:09 | freshest | 1 | 82945 | 4 | 4.233 | 19594.8 |
378 | 2025-01-14 01:32:21 | freshest | 2 | 121059 | 17 | 9.826 | 12320.3 |
377 | 2025-01-14 01:09:01 | freshest | 3 | 146162 | 158 | 6.846 | 21350.0 |
376 | 2025-01-10 04:48:45 | freshest | 3 | 146162 | 158 | 50.020 | 2922.1 |
375 | 2025-01-08 15:05:10 | freshest | 3 | 146162 | 158 | 31.393 | 4655.9 |
374 | 2025-01-08 12:40:44 | freshest | 3 | 146162 | 158 | 7.373 | 19824.0 |
373 | 2025-01-08 12:40:43 | freshest | 1 | 82945 | 4 | 1.420 | 58412.0 |
372 | 2025-01-07 21:13:38 | freshest | 1 | 82945 | 4 | 8.280 | 10017.5 |
371 | 2024-12-30 23:41:28 | freshest | 1 | 82945 | 4 | 3.813 | 21753.2 |
370 | 2024-12-10 02:46:17 | freshest | 2 | 121059 | 17 | 25.236 | 4797.1 |
369 | 2024-12-08 15:24:22 | freshest | 2 | 121059 | 17 | 3.733 | 32429.4 |
368 | 2024-12-08 15:24:21 | freshest | 1 | 82945 | 4 | 1.483 | 55930.5 |
367 | 2024-12-08 06:59:00 | freshest | 1 | 82945 | 4 | 8.060 | 10290.9 |