History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"examples"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
506 | 2025-09-07 05:28:53 | examples | 3 | 146162 | 89 | 6.690 | 21847.8 |
505 | 2025-09-06 23:40:59 | examples | 4 | 161609 | 910 | 11.890 | 13592.0 |
504 | 2025-09-05 22:19:12 | examples | 2 | 121059 | 9 | 3.640 | 33258.0 |
503 | 2025-09-05 17:18:07 | examples | 1 | 82945 | 3 | 1.283 | 64649.3 |
502 | 2025-08-25 12:39:42 | examples | 1 | 82945 | 3 | 5.346 | 15515.3 |
501 | 2025-08-25 04:40:35 | examples | 1 | 82945 | 3 | 6.906 | 12010.6 |
500 | 2025-08-17 10:08:10 | examples | 1 | 82945 | 3 | 2.826 | 29350.7 |
499 | 2025-08-17 05:37:56 | examples | 3 | 146162 | 89 | 16.610 | 8799.6 |
498 | 2025-08-17 01:38:11 | examples | 1 | 82945 | 3 | 2.580 | 32149.2 |
497 | 2025-08-14 13:36:53 | examples | 3 | 146162 | 89 | 6.500 | 22486.5 |
496 | 2025-08-11 08:59:44 | examples | 3 | 146162 | 89 | 54.366 | 2688.5 |
495 | 2025-08-10 04:45:37 | examples | 1 | 82945 | 3 | 5.970 | 13893.6 |
494 | 2025-08-10 04:04:31 | examples | 1 | 82945 | 3 | 4.110 | 20181.3 |
493 | 2025-08-10 03:44:57 | examples | 1 | 82945 | 3 | 3.093 | 26817.0 |
492 | 2025-08-02 00:15:33 | examples | 1 | 82945 | 3 | 3.393 | 24445.9 |
491 | 2025-08-01 21:00:42 | examples | 4 | 161609 | 910 | 58.600 | 2757.8 |
490 | 2025-07-31 09:42:07 | examples | 1 | 82945 | 3 | 1.390 | 59672.7 |
489 | 2025-07-31 03:43:08 | examples | 4 | 161609 | 910 | 11.280 | 14327.0 |
488 | 2025-07-27 09:36:03 | examples | 4 | 161609 | 910 | 54.906 | 2943.4 |
487 | 2025-07-27 00:23:41 | examples | 3 | 146162 | 89 | 17.923 | 8155.0 |
486 | 2025-07-26 22:07:35 | examples | 3 | 146162 | 89 | 46.843 | 3120.3 |
485 | 2025-07-26 22:05:40 | examples | 2 | 121059 | 9 | 17.626 | 6868.2 |
484 | 2025-07-25 05:42:29 | examples | 1 | 82945 | 3 | 3.486 | 23793.7 |
483 | 2025-07-23 05:14:44 | examples | 4 | 161609 | 910 | 53.143 | 3041.0 |
482 | 2025-07-22 20:55:08 | examples | 1 | 82945 | 3 | 3.123 | 26559.4 |
481 | 2025-07-22 01:04:37 | examples | 3 | 146162 | 89 | 8.110 | 18022.4 |
480 | 2025-07-21 19:45:50 | examples | 2 | 121059 | 9 | 3.280 | 36908.2 |
479 | 2025-07-20 07:09:37 | examples | 3 | 146162 | 89 | 7.093 | 20606.5 |
478 | 2025-07-19 02:14:38 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
477 | 2025-07-17 22:17:55 | examples | 4 | 161609 | 910 | 72.146 | 2240.0 |
476 | 2025-07-17 14:26:39 | examples | 1 | 82945 | 3 | 6.483 | 12794.2 |
475 | 2025-07-15 09:41:02 | examples | 1 | 82945 | 3 | 7.283 | 11388.9 |
474 | 2025-07-14 08:13:26 | examples | 4 | 161609 | 910 | 58.160 | 2778.7 |
473 | 2025-07-13 05:44:49 | examples | 4 | 161609 | 910 | 11.766 | 13735.3 |
472 | 2025-07-12 20:46:54 | examples | 4 | 161609 | 910 | 17.093 | 9454.7 |
471 | 2025-07-12 14:07:21 | examples | 4 | 161609 | 910 | 16.690 | 9683.0 |
470 | 2025-07-10 17:27:54 | examples | 4 | 161609 | 910 | 49.333 | 3275.9 |
469 | 2025-07-09 21:44:19 | examples | 2 | 121059 | 9 | 15.330 | 7896.9 |
468 | 2025-07-09 09:40:43 | examples | 1 | 82945 | 3 | 9.173 | 9042.3 |
467 | 2025-06-28 05:45:14 | examples | 1 | 82945 | 3 | 10.080 | 8228.7 |
466 | 2025-06-27 06:09:24 | examples | 1 | 82945 | 3 | 3.923 | 21143.3 |
465 | 2025-06-24 05:51:57 | examples | 1 | 82945 | 3 | 4.830 | 17172.9 |
464 | 2025-06-21 00:29:40 | examples | 3 | 146162 | 89 | 27.906 | 5237.7 |
463 | 2025-06-20 17:38:19 | examples | 3 | 146162 | 89 | 23.686 | 6170.8 |
462 | 2025-06-18 13:06:26 | examples | 1 | 82945 | 3 | 6.920 | 11986.3 |
461 | 2025-06-18 00:07:37 | examples | 3 | 146162 | 89 | 50.973 | 2867.4 |
460 | 2025-06-18 00:05:03 | examples | 3 | 146162 | 89 | 23.610 | 6190.7 |
459 | 2025-06-16 20:49:12 | examples | 1 | 82945 | 3 | 7.280 | 11393.5 |
458 | 2025-06-16 05:48:23 | examples | 1 | 82945 | 3 | 6.486 | 12788.3 |
457 | 2025-06-16 00:00:02 | examples | 3 | 146162 | 89 | 28.720 | 5089.2 |
456 | 2025-06-15 20:06:25 | examples | 3 | 146162 | 89 | 36.066 | 4052.6 |
455 | 2025-06-15 10:34:10 | examples | 1 | 82945 | 3 | 1.310 | 63316.8 |
454 | 2025-06-14 10:18:42 | examples | 1 | 82945 | 3 | 2.783 | 29804.2 |
453 | 2025-05-29 12:31:24 | examples | 1 | 82945 | 3 | 3.830 | 21656.7 |
452 | 2025-05-28 16:34:18 | examples | 1 | 82945 | 3 | 5.453 | 15210.9 |
451 | 2025-05-26 02:36:48 | examples | 4 | 161609 | 910 | 88.020 | 1836.0 |
450 | 2025-05-25 08:59:02 | examples | 4 | 161609 | 910 | 11.300 | 14301.7 |
449 | 2025-05-24 20:24:10 | examples | 4 | 161609 | 910 | 65.910 | 2452.0 |
448 | 2025-05-24 05:58:03 | examples | 1 | 82945 | 3 | 3.656 | 22687.4 |
447 | 2025-05-24 05:34:16 | examples | 4 | 161609 | 910 | 77.303 | 2090.6 |
446 | 2025-05-16 12:26:56 | examples | 3 | 146162 | 89 | 23.893 | 6117.4 |
445 | 2025-05-16 08:43:50 | examples | 3 | 146162 | 89 | 40.690 | 3592.1 |
444 | 2025-05-16 06:40:10 | examples | 1 | 82945 | 3 | 3.623 | 22894.0 |
443 | 2025-05-15 19:46:44 | examples | 4 | 161609 | 910 | 60.660 | 2664.2 |
442 | 2025-05-15 14:15:27 | examples | 3 | 146162 | 89 | 9.733 | 15017.2 |
441 | 2025-05-14 15:52:07 | examples | 3 | 146162 | 89 | 42.440 | 3444.0 |
440 | 2025-05-14 15:07:38 | examples | 3 | 146162 | 89 | 42.646 | 3427.3 |
439 | 2025-05-14 07:50:54 | examples | 4 | 161609 | 910 | 53.363 | 3028.5 |
438 | 2025-05-14 00:28:13 | examples | 2 | 121059 | 9 | 15.813 | 7655.7 |
437 | 2025-05-13 21:20:00 | examples | 2 | 121059 | 9 | 13.120 | 9227.1 |
436 | 2025-05-13 09:48:19 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
435 | 2025-05-13 09:34:51 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
434 | 2025-05-10 14:27:38 | examples | 1 | 82945 | 3 | 3.750 | 22118.7 |
433 | 2025-05-02 20:22:23 | examples | 3 | 146162 | 89 | 9.796 | 14920.6 |
432 | 2025-04-30 21:22:44 | examples | 3 | 146162 | 89 | 24.720 | 5912.7 |
431 | 2025-04-23 04:41:24 | examples | 1 | 82945 | 3 | 4.093 | 20265.1 |
430 | 2025-04-22 11:37:12 | examples | 1 | 82945 | 3 | 1.483 | 55930.5 |
429 | 2025-04-11 09:59:48 | examples | 1 | 82945 | 3 | 6.186 | 13408.5 |
428 | 2025-04-09 22:02:13 | examples | 2 | 121059 | 9 | 3.763 | 32170.9 |
427 | 2025-04-09 10:35:06 | examples | 1 | 82945 | 3 | 7.813 | 10616.3 |
426 | 2025-04-06 09:57:45 | examples | 1 | 82945 | 3 | 3.670 | 22600.8 |
425 | 2025-03-25 16:15:04 | examples | 2 | 121059 | 9 | 18.596 | 6509.9 |
424 | 2025-03-25 05:17:17 | examples | 3 | 146162 | 89 | 35.893 | 4072.2 |
423 | 2025-03-21 06:19:30 | examples | 1 | 82945 | 3 | 6.953 | 11929.4 |
422 | 2025-03-16 23:40:59 | examples | 3 | 146162 | 89 | 32.450 | 4504.2 |
421 | 2025-03-15 19:49:34 | examples | 3 | 146162 | 89 | 36.283 | 4028.4 |
420 | 2025-03-10 05:43:17 | examples | 2 | 121059 | 9 | 14.613 | 8284.3 |
419 | 2025-03-10 05:13:01 | examples | 1 | 82945 | 3 | 1.436 | 57761.1 |
418 | 2025-03-07 06:54:30 | examples | 2 | 121059 | 9 | 17.720 | 6831.8 |
417 | 2025-03-07 01:02:08 | examples | 2 | 121059 | 9 | 32.580 | 3715.7 |
416 | 2025-03-07 00:48:23 | examples | 1 | 82945 | 3 | 9.500 | 8731.1 |
415 | 2025-03-06 21:10:22 | examples | 3 | 146162 | 89 | 35.086 | 4165.8 |
414 | 2025-03-06 10:56:07 | examples | 3 | 146162 | 89 | 48.083 | 3039.8 |
413 | 2025-03-03 09:02:39 | examples | 3 | 146162 | 89 | 36.063 | 4053.0 |
412 | 2025-03-03 02:54:06 | examples | 3 | 146162 | 89 | 59.140 | 2471.5 |
411 | 2025-03-02 09:41:29 | examples | 1 | 82945 | 3 | 6.406 | 12948.0 |
410 | 2025-02-28 08:12:45 | examples | 3 | 146162 | 89 | 48.530 | 3011.8 |
409 | 2025-02-28 08:12:57 | examples | 1 | 82945 | 3 | 7.013 | 11827.3 |
408 | 2025-02-28 08:12:43 | examples | 2 | 121059 | 9 | 18.123 | 6679.9 |
407 | 2025-02-22 01:58:18 | examples | 4 | 161609 | 910 | 44.290 | 3648.9 |