History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unlearnt"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
458 | 2025-09-19 22:20:17 | unlearnt | 2 | 121059 | 8 | 3.500 | 34588.3 |
457 | 2025-09-19 20:04:02 | unlearnt | 1 | 82945 | 3 | 1.373 | 60411.5 |
456 | 2025-09-19 10:24:54 | unlearnt | 1 | 82945 | 3 | 1.483 | 55930.5 |
455 | 2025-09-19 05:28:15 | unlearnt | 3 | 146162 | 54 | 7.266 | 20115.9 |
454 | 2025-09-18 01:56:24 | unlearnt | 4 | 161609 | 435 | 18.346 | 8809.0 |
453 | 2025-09-16 08:00:26 | unlearnt | 1 | 82945 | 3 | 1.453 | 57085.3 |
452 | 2025-09-11 06:37:41 | unlearnt | 4 | 161609 | 435 | 11.703 | 13809.2 |
451 | 2025-09-08 12:37:48 | unlearnt | 3 | 146162 | 54 | 7.626 | 19166.3 |
450 | 2025-09-07 05:37:14 | unlearnt | 1 | 82945 | 3 | 1.843 | 45005.4 |
449 | 2025-09-05 11:50:45 | unlearnt | 3 | 146162 | 54 | 6.346 | 23032.1 |
448 | 2025-09-04 19:59:30 | unlearnt | 2 | 121059 | 8 | 3.533 | 34265.2 |
447 | 2025-09-03 03:22:13 | unlearnt | 3 | 146162 | 54 | 6.643 | 22002.4 |
446 | 2025-09-02 23:51:04 | unlearnt | 2 | 121059 | 8 | 3.673 | 32959.2 |
445 | 2025-09-01 21:33:34 | unlearnt | 4 | 161609 | 435 | 12.080 | 13378.2 |
444 | 2025-08-31 05:36:36 | unlearnt | 1 | 82945 | 3 | 1.326 | 62552.8 |
443 | 2025-08-30 04:59:57 | unlearnt | 4 | 161609 | 435 | 11.610 | 13919.8 |
442 | 2025-08-24 00:02:52 | unlearnt | 1 | 82945 | 3 | 1.420 | 58412.0 |
441 | 2025-08-22 09:20:00 | unlearnt | 4 | 161609 | 435 | 16.920 | 9551.4 |
440 | 2025-08-22 07:45:00 | unlearnt | 2 | 121059 | 8 | 16.030 | 7552.0 |
439 | 2025-08-21 17:11:50 | unlearnt | 1 | 82945 | 3 | 2.423 | 34232.4 |
438 | 2025-08-18 13:23:04 | unlearnt | 1 | 82945 | 3 | 1.533 | 54106.3 |
437 | 2025-08-07 15:00:00 | unlearnt | 3 | 146162 | 54 | 16.113 | 9071.1 |
436 | 2025-08-06 11:14:28 | unlearnt | 3 | 146162 | 54 | 34.010 | 4297.6 |
435 | 2025-08-02 10:28:23 | unlearnt | 1 | 82945 | 3 | 2.860 | 29001.7 |
434 | 2025-08-02 08:59:29 | unlearnt | 3 | 146162 | 54 | 23.783 | 6145.7 |
433 | 2025-07-29 19:08:42 | unlearnt | 3 | 146162 | 54 | 18.686 | 7822.0 |
432 | 2025-07-29 10:03:38 | unlearnt | 3 | 146162 | 54 | 54.783 | 2668.0 |
431 | 2025-07-28 23:27:04 | unlearnt | 3 | 146162 | 54 | 16.923 | 8636.9 |
430 | 2025-07-27 08:33:19 | unlearnt | 1 | 82945 | 3 | 4.720 | 17573.1 |
429 | 2025-07-27 05:11:50 | unlearnt | 1 | 82945 | 3 | 6.516 | 12729.4 |
428 | 2025-07-26 09:49:58 | unlearnt | 3 | 146162 | 54 | 11.826 | 12359.4 |
427 | 2025-07-25 02:59:23 | unlearnt | 3 | 146162 | 54 | 19.470 | 7507.0 |
426 | 2025-07-24 02:44:14 | unlearnt | 1 | 82945 | 3 | 4.860 | 17066.9 |
425 | 2025-07-23 16:42:42 | unlearnt | 1 | 82945 | 3 | 3.186 | 26034.2 |
424 | 2025-07-22 07:01:57 | unlearnt | 1 | 82945 | 3 | 1.406 | 58993.6 |
423 | 2025-07-20 06:40:03 | unlearnt | 3 | 146162 | 54 | 14.783 | 9887.2 |
422 | 2025-07-16 09:43:43 | unlearnt | 3 | 146162 | 54 | 13.343 | 10954.2 |
421 | 2025-07-15 06:23:48 | unlearnt | 3 | 146162 | 54 | 41.536 | 3518.9 |
420 | 2025-07-14 22:44:46 | unlearnt | 3 | 146162 | 54 | 49.893 | 2929.5 |
419 | 2025-07-13 12:18:53 | unlearnt | 2 | 121059 | 8 | 3.813 | 31749.0 |
418 | 2025-07-13 03:28:55 | unlearnt | 3 | 146162 | 54 | 7.436 | 19656.0 |
417 | 2025-07-12 09:23:45 | unlearnt | 3 | 146162 | 54 | 7.830 | 18666.9 |
416 | 2025-07-12 08:48:37 | unlearnt | 3 | 146162 | 54 | 7.156 | 20425.1 |
415 | 2025-07-09 04:22:19 | unlearnt | 1 | 82945 | 3 | 1.436 | 57761.1 |
414 | 2025-07-08 16:04:52 | unlearnt | 3 | 146162 | 54 | 35.956 | 4065.0 |
413 | 2025-07-02 08:31:09 | unlearnt | 3 | 146162 | 54 | 39.406 | 3709.1 |
412 | 2025-06-27 10:53:16 | unlearnt | 3 | 146162 | 54 | 34.096 | 4286.8 |
411 | 2025-06-26 04:20:00 | unlearnt | 1 | 82945 | 3 | 6.550 | 12663.4 |
410 | 2025-06-25 23:05:08 | unlearnt | 4 | 161609 | 435 | 54.333 | 2974.4 |
409 | 2025-06-23 05:17:21 | unlearnt | 3 | 146162 | 54 | 7.110 | 20557.2 |
408 | 2025-06-20 22:30:55 | unlearnt | 3 | 146162 | 54 | 36.296 | 4026.9 |
407 | 2025-06-20 12:50:02 | unlearnt | 1 | 82945 | 3 | 1.390 | 59672.7 |
406 | 2025-06-20 10:04:15 | unlearnt | 3 | 146162 | 54 | 46.143 | 3167.6 |
405 | 2025-06-19 06:47:46 | unlearnt | 4 | 161609 | 435 | 11.813 | 13680.6 |
404 | 2025-06-17 15:17:48 | unlearnt | 3 | 146162 | 54 | 7.093 | 20606.5 |
403 | 2025-06-17 05:23:09 | unlearnt | 1 | 82945 | 3 | 1.436 | 57761.1 |
402 | 2025-06-14 13:53:16 | unlearnt | 3 | 146162 | 54 | 41.660 | 3508.4 |
401 | 2025-06-11 09:30:59 | unlearnt | 3 | 146162 | 54 | 36.686 | 3984.1 |
400 | 2025-06-10 17:32:29 | unlearnt | 3 | 146162 | 54 | 40.206 | 3635.3 |
399 | 2025-06-08 15:53:27 | unlearnt | 3 | 146162 | 54 | 35.953 | 4065.4 |
398 | 2025-06-05 00:29:14 | unlearnt | 3 | 146162 | 54 | 41.613 | 3512.4 |
397 | 2025-06-04 19:03:37 | unlearnt | 3 | 146162 | 54 | 30.140 | 4849.4 |
396 | 2025-06-04 15:31:41 | unlearnt | 3 | 146162 | 54 | 40.593 | 3600.7 |
395 | 2025-06-03 10:33:07 | unlearnt | 3 | 146162 | 54 | 6.860 | 21306.4 |
394 | 2025-06-03 04:50:45 | unlearnt | 2 | 121059 | 8 | 3.830 | 31608.1 |
393 | 2025-06-03 00:42:23 | unlearnt | 4 | 161609 | 435 | 14.563 | 11097.2 |
392 | 2025-06-01 17:45:45 | unlearnt | 4 | 161609 | 435 | 11.186 | 14447.4 |
391 | 2025-06-01 09:58:05 | unlearnt | 4 | 161609 | 435 | 79.440 | 2034.4 |
390 | 2025-05-27 13:47:06 | unlearnt | 4 | 161609 | 435 | 53.520 | 3019.6 |
389 | 2025-05-25 17:43:57 | unlearnt | 4 | 161609 | 435 | 13.140 | 12299.0 |
388 | 2025-05-25 15:53:01 | unlearnt | 4 | 161609 | 435 | 12.296 | 13143.2 |
387 | 2025-05-25 01:20:58 | unlearnt | 4 | 161609 | 435 | 17.843 | 9057.3 |
386 | 2025-05-21 15:41:58 | unlearnt | 4 | 161609 | 435 | 11.563 | 13976.4 |
385 | 2025-05-18 08:53:21 | unlearnt | 2 | 121059 | 8 | 20.826 | 5812.9 |
384 | 2025-05-17 07:04:12 | unlearnt | 3 | 146162 | 54 | 7.533 | 19402.9 |
383 | 2025-05-17 06:58:28 | unlearnt | 1 | 82945 | 3 | 1.423 | 58288.8 |
382 | 2025-05-15 02:52:25 | unlearnt | 3 | 146162 | 54 | 18.923 | 7724.0 |
381 | 2025-05-15 00:23:06 | unlearnt | 3 | 146162 | 54 | 46.953 | 3112.9 |
380 | 2025-05-14 11:18:09 | unlearnt | 3 | 146162 | 54 | 37.063 | 3943.6 |
379 | 2025-05-12 16:14:19 | unlearnt | 1 | 82945 | 3 | 5.360 | 15474.8 |
378 | 2025-05-12 14:08:42 | unlearnt | 3 | 146162 | 54 | 36.000 | 4060.1 |
377 | 2025-05-08 14:19:26 | unlearnt | 4 | 161609 | 435 | 72.693 | 2223.2 |
376 | 2025-05-07 19:23:55 | unlearnt | 4 | 161609 | 435 | 11.610 | 13919.8 |
375 | 2025-05-07 01:23:29 | unlearnt | 4 | 161609 | 435 | 11.376 | 14206.1 |
374 | 2025-05-06 16:10:47 | unlearnt | 4 | 161609 | 435 | 76.693 | 2107.2 |
373 | 2025-05-06 00:11:49 | unlearnt | 4 | 161609 | 435 | 62.823 | 2572.4 |
372 | 2025-05-04 22:10:25 | unlearnt | 4 | 161609 | 435 | 41.160 | 3926.4 |
371 | 2025-05-04 13:36:03 | unlearnt | 4 | 161609 | 435 | 62.176 | 2599.2 |
370 | 2025-05-02 09:52:15 | unlearnt | 4 | 161609 | 435 | 51.566 | 3134.0 |
369 | 2025-05-01 18:47:15 | unlearnt | 4 | 161609 | 435 | 11.563 | 13976.4 |
368 | 2025-04-30 08:41:17 | unlearnt | 4 | 161609 | 435 | 59.296 | 2725.5 |
367 | 2025-04-24 21:46:26 | unlearnt | 4 | 161609 | 435 | 10.906 | 14818.4 |
366 | 2025-04-23 23:17:07 | unlearnt | 4 | 161609 | 435 | 50.126 | 3224.1 |
365 | 2025-04-23 02:56:17 | unlearnt | 1 | 82945 | 3 | 3.360 | 24686.0 |
364 | 2025-04-23 02:52:37 | unlearnt | 4 | 161609 | 435 | 61.196 | 2640.8 |
363 | 2025-04-17 23:36:27 | unlearnt | 1 | 82945 | 3 | 6.533 | 12696.3 |
362 | 2025-04-16 22:22:05 | unlearnt | 4 | 161609 | 435 | 12.203 | 13243.4 |
361 | 2025-04-13 14:30:26 | unlearnt | 4 | 161609 | 435 | 20.080 | 8048.3 |
360 | 2025-04-11 17:12:30 | unlearnt | 1 | 82945 | 3 | 7.860 | 10552.8 |
359 | 2025-04-06 00:10:50 | unlearnt | 1 | 82945 | 3 | 4.250 | 19516.5 |