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 |
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 |
406 | 2025-02-06 13:54:08 | examples | 4 | 161609 | 910 | 61.396 | 2632.2 |
405 | 2025-02-06 05:04:21 | examples | 1 | 82945 | 3 | 6.626 | 12518.1 |
404 | 2025-02-04 20:36:49 | examples | 2 | 121059 | 9 | 11.876 | 10193.6 |
403 | 2025-02-03 12:35:18 | examples | 4 | 161609 | 910 | 66.410 | 2433.5 |
402 | 2025-02-03 12:30:56 | examples | 4 | 161609 | 910 | 47.943 | 3370.9 |
401 | 2025-02-02 04:56:50 | examples | 4 | 161609 | 910 | 64.550 | 2503.6 |
400 | 2025-02-02 04:56:52 | examples | 2 | 121059 | 9 | 7.953 | 15221.8 |
399 | 2025-01-29 19:21:16 | examples | 3 | 146162 | 89 | 19.750 | 7400.6 |
398 | 2025-01-26 18:28:25 | examples | 3 | 146162 | 89 | 11.283 | 12954.2 |
397 | 2025-01-26 02:32:34 | examples | 1 | 82945 | 3 | 6.610 | 12548.4 |
396 | 2025-01-24 17:17:11 | examples | 3 | 146162 | 89 | 40.593 | 3600.7 |
395 | 2025-01-21 15:36:50 | examples | 3 | 146162 | 89 | 39.486 | 3701.6 |
394 | 2025-01-19 11:05:12 | examples | 3 | 146162 | 89 | 39.973 | 3656.5 |
393 | 2025-01-19 11:04:54 | examples | 1 | 82945 | 3 | 3.266 | 25396.5 |
392 | 2025-01-03 22:00:35 | examples | 2 | 121059 | 9 | 15.050 | 8043.8 |
391 | 2025-01-03 21:39:55 | examples | 4 | 161609 | 910 | 74.270 | 2176.0 |
390 | 2025-01-03 14:15:59 | examples | 4 | 161609 | 910 | 13.346 | 12109.2 |
389 | 2025-01-02 20:26:41 | examples | 4 | 161609 | 910 | 42.566 | 3796.7 |
388 | 2025-01-02 19:06:58 | examples | 4 | 161609 | 910 | 58.303 | 2771.9 |
387 | 2025-01-02 19:07:00 | examples | 2 | 121059 | 9 | 9.330 | 12975.2 |
386 | 2025-01-01 15:00:33 | examples | 1 | 82945 | 3 | 3.140 | 26415.6 |
385 | 2024-12-28 07:33:56 | examples | 3 | 146162 | 89 | 18.660 | 7832.9 |
384 | 2024-12-26 17:16:31 | examples | 1 | 82945 | 3 | 3.673 | 22582.4 |
383 | 2024-12-21 10:54:44 | examples | 3 | 146162 | 89 | 26.300 | 5557.5 |
382 | 2024-12-19 22:11:40 | examples | 3 | 146162 | 89 | 26.300 | 5557.5 |
381 | 2024-12-17 17:25:38 | examples | 3 | 146162 | 89 | 35.500 | 4117.2 |
380 | 2024-12-14 07:52:05 | examples | 1 | 82945 | 3 | 3.686 | 22502.7 |
379 | 2024-12-11 10:25:41 | examples | 3 | 146162 | 89 | 25.236 | 5791.8 |
378 | 2024-11-28 15:56:15 | examples | 2 | 121059 | 9 | 10.733 | 11279.1 |
377 | 2024-11-25 11:00:52 | examples | 2 | 121059 | 9 | 3.893 | 31096.6 |
376 | 2024-11-21 19:30:05 | examples | 3 | 146162 | 89 | 32.316 | 4522.9 |
375 | 2024-11-20 09:09:48 | examples | 3 | 146162 | 89 | 10.703 | 13656.2 |
374 | 2024-11-20 09:09:47 | examples | 2 | 121059 | 9 | 6.846 | 17683.2 |
373 | 2024-11-19 11:13:33 | examples | 1 | 82945 | 3 | 7.033 | 11793.7 |