History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biometrics"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
488 | 2025-08-25 15:12:24 | biometrics | 3 | 140603 | 34 | 28.313 | 4966.0 |
487 | 2025-08-25 02:26:26 | biometrics | 3 | 140603 | 34 | 41.326 | 3402.3 |
486 | 2025-08-24 21:12:04 | biometrics | 2 | 108824 | 8 | 16.063 | 6774.8 |
485 | 2025-08-24 05:44:16 | biometrics | 1 | 67641 | 3 | 2.873 | 23543.7 |
484 | 2025-08-09 23:21:02 | biometrics | 1 | 67641 | 3 | 2.826 | 23935.2 |
483 | 2025-07-23 20:39:34 | biometrics | 1 | 67641 | 3 | 2.783 | 24305.1 |
482 | 2025-07-15 17:14:50 | biometrics | 2 | 108824 | 8 | 3.126 | 34812.5 |
481 | 2025-07-11 15:05:42 | biometrics | 3 | 140603 | 34 | 38.580 | 3644.5 |
480 | 2025-07-10 16:28:07 | biometrics | 2 | 108824 | 8 | 15.316 | 7105.2 |
479 | 2025-07-10 06:34:55 | biometrics | 3 | 140603 | 34 | 37.283 | 3771.2 |
478 | 2025-07-09 10:09:14 | biometrics | 1 | 67641 | 3 | 1.216 | 55625.8 |
477 | 2025-07-09 08:11:39 | biometrics | 1 | 67641 | 3 | 2.140 | 31607.9 |
476 | 2025-07-07 12:22:27 | biometrics | 1 | 67641 | 3 | 3.283 | 20603.4 |
475 | 2025-07-04 23:10:02 | biometrics | 1 | 67641 | 3 | 8.423 | 8030.5 |
474 | 2025-06-14 14:57:50 | biometrics | 1 | 67641 | 3 | 3.110 | 21749.5 |
473 | 2025-06-04 09:18:21 | biometrics | 1 | 67641 | 3 | 4.906 | 13787.4 |
472 | 2025-05-22 10:14:51 | biometrics | 3 | 140603 | 34 | 39.610 | 3549.7 |
471 | 2025-05-12 12:20:27 | biometrics | 1 | 67641 | 3 | 3.283 | 20603.4 |
470 | 2025-05-08 07:00:17 | biometrics | 1 | 67641 | 3 | 5.206 | 12992.9 |
469 | 2025-05-02 14:35:02 | biometrics | 1 | 67641 | 3 | 3.983 | 16982.4 |
468 | 2025-04-26 14:01:24 | biometrics | 2 | 108824 | 8 | 11.360 | 9579.6 |
467 | 2025-04-26 12:14:43 | biometrics | 3 | 140603 | 34 | 39.423 | 3566.5 |
466 | 2025-04-26 03:24:01 | biometrics | 3 | 140603 | 34 | 38.300 | 3671.1 |
465 | 2025-04-25 09:51:53 | biometrics | 1 | 67641 | 3 | 3.313 | 20416.8 |
464 | 2025-04-24 22:24:14 | biometrics | 1 | 67641 | 3 | 1.173 | 57665.0 |
463 | 2025-04-06 23:39:35 | biometrics | 2 | 108824 | 8 | 13.330 | 8163.8 |
462 | 2025-04-06 10:29:29 | biometrics | 1 | 67641 | 3 | 5.450 | 12411.2 |
461 | 2025-04-06 10:02:20 | biometrics | 3 | 140603 | 34 | 30.783 | 4567.6 |
460 | 2025-04-04 15:18:22 | biometrics | 2 | 108824 | 8 | 7.830 | 13898.3 |
459 | 2025-04-03 21:26:01 | biometrics | 2 | 108824 | 8 | 18.680 | 5825.7 |
458 | 2025-04-03 05:43:06 | biometrics | 1 | 67641 | 3 | 1.153 | 58665.2 |
457 | 2025-04-02 23:16:28 | biometrics | 1 | 67641 | 3 | 6.080 | 11125.2 |
456 | 2025-04-02 02:34:31 | biometrics | 3 | 140603 | 34 | 41.066 | 3423.8 |
455 | 2025-04-01 22:38:00 | biometrics | 3 | 140603 | 34 | 31.766 | 4426.2 |
454 | 2025-03-29 23:39:24 | biometrics | 3 | 140603 | 34 | 7.890 | 17820.4 |
453 | 2025-03-21 17:17:36 | biometrics | 1 | 67641 | 3 | 8.483 | 7973.7 |
452 | 2025-02-18 08:23:24 | biometrics | 1 | 67641 | 3 | 5.563 | 12159.1 |
451 | 2025-02-14 07:44:28 | biometrics | 3 | 140603 | 34 | 29.190 | 4816.8 |
450 | 2025-02-11 11:27:57 | biometrics | 3 | 140603 | 34 | 33.646 | 4178.9 |
449 | 2025-02-10 11:22:30 | biometrics | 1 | 67641 | 3 | 4.453 | 15190.0 |
448 | 2025-02-10 09:43:58 | biometrics | 3 | 140603 | 34 | 40.476 | 3473.7 |
447 | 2025-02-04 17:19:22 | biometrics | 3 | 140603 | 34 | 25.723 | 5466.0 |
446 | 2025-02-01 20:49:10 | biometrics | 3 | 140603 | 34 | 44.736 | 3142.9 |
445 | 2025-02-01 19:52:33 | biometrics | 1 | 67641 | 3 | 5.470 | 12365.8 |
444 | 2025-02-01 14:50:52 | biometrics | 3 | 140603 | 34 | 28.956 | 4855.7 |
443 | 2025-01-25 18:56:27 | biometrics | 1 | 67641 | 3 | 1.033 | 65480.2 |
442 | 2025-01-18 15:36:33 | biometrics | 2 | 108824 | 8 | 14.420 | 7546.7 |
441 | 2025-01-18 15:36:16 | biometrics | 1 | 67641 | 3 | 5.843 | 11576.4 |
440 | 2025-01-09 15:00:08 | biometrics | 1 | 67641 | 3 | 1.170 | 57812.8 |
439 | 2025-01-03 06:26:18 | biometrics | 4 | 161450 | 172 | 47.376 | 3407.8 |
438 | 2025-01-02 19:19:03 | biometrics | 4 | 161450 | 172 | 58.846 | 2743.6 |
437 | 2025-01-02 02:16:48 | biometrics | 4 | 161450 | 172 | 69.423 | 2325.6 |
436 | 2025-01-02 02:16:49 | biometrics | 2 | 108824 | 8 | 22.330 | 4873.4 |
435 | 2025-01-02 02:15:02 | biometrics | 1 | 67641 | 3 | 2.610 | 25916.1 |
434 | 2025-01-01 16:03:21 | biometrics | 3 | 140603 | 34 | 16.686 | 8426.4 |
433 | 2024-12-25 14:00:42 | biometrics | 3 | 140603 | 34 | 37.136 | 3786.2 |
432 | 2024-12-25 14:00:38 | biometrics | 3 | 140603 | 34 | 31.560 | 4455.1 |
431 | 2024-12-25 14:00:43 | biometrics | 2 | 108824 | 8 | 15.126 | 7194.5 |
430 | 2024-12-25 11:06:09 | biometrics | 1 | 67641 | 3 | 7.076 | 9559.2 |
429 | 2024-12-15 12:53:28 | biometrics | 1 | 67641 | 3 | 5.393 | 12542.4 |
428 | 2024-12-09 03:11:46 | biometrics | 2 | 108824 | 8 | 15.216 | 7151.9 |
427 | 2024-12-05 10:34:26 | biometrics | 3 | 140603 | 34 | 39.110 | 3595.1 |
426 | 2024-12-05 10:34:28 | biometrics | 2 | 108824 | 8 | 20.313 | 5357.4 |
425 | 2024-12-05 10:28:22 | biometrics | 1 | 67641 | 3 | 7.300 | 9265.9 |
424 | 2024-11-24 13:05:06 | biometrics | 3 | 140603 | 34 | 31.393 | 4478.8 |
423 | 2024-11-24 13:05:03 | biometrics | 2 | 108824 | 8 | 19.500 | 5580.7 |
422 | 2024-11-24 13:04:35 | biometrics | 3 | 140603 | 34 | 35.003 | 4016.9 |
421 | 2024-11-23 14:04:12 | biometrics | 3 | 140603 | 34 | 31.780 | 4424.3 |
420 | 2024-11-23 14:04:17 | biometrics | 2 | 108824 | 8 | 15.076 | 7218.4 |
419 | 2024-11-23 14:02:28 | biometrics | 1 | 67641 | 3 | 3.300 | 20497.3 |
418 | 2024-11-20 00:59:01 | biometrics | 1 | 67641 | 3 | 8.860 | 7634.4 |
417 | 2024-11-09 22:00:58 | biometrics | 1 | 67641 | 3 | 7.186 | 9412.9 |
416 | 2024-11-04 03:57:00 | biometrics | 1 | 67641 | 3 | 1.110 | 60937.8 |
415 | 2024-11-02 22:35:06 | biometrics | 3 | 140603 | 34 | 36.236 | 3880.2 |
414 | 2024-11-01 12:51:29 | biometrics | 3 | 140603 | 34 | 45.690 | 3077.3 |
413 | 2024-11-01 12:51:29 | biometrics | 2 | 108824 | 8 | 10.016 | 10865.0 |
412 | 2024-10-23 20:36:13 | biometrics | 3 | 140603 | 34 | 27.550 | 5103.6 |
411 | 2024-10-23 20:36:17 | biometrics | 2 | 108824 | 8 | 16.283 | 6683.3 |
410 | 2024-10-23 20:32:41 | biometrics | 1 | 67641 | 3 | 2.873 | 23543.7 |
409 | 2024-10-13 02:07:34 | biometrics | 3 | 140603 | 34 | 30.533 | 4605.0 |
408 | 2024-10-05 23:12:57 | biometrics | 3 | 140603 | 34 | 48.750 | 2884.2 |
407 | 2024-10-03 04:40:26 | biometrics | 2 | 108824 | 8 | 18.516 | 5877.3 |
406 | 2024-10-03 04:37:59 | biometrics | 1 | 67641 | 3 | 6.923 | 9770.5 |
405 | 2024-10-03 04:17:21 | biometrics | 3 | 140603 | 34 | 50.843 | 2765.4 |
404 | 2024-10-02 22:04:12 | biometrics | 3 | 140603 | 34 | 59.206 | 2374.8 |
403 | 2024-10-01 07:29:48 | biometrics | 3 | 140603 | 34 | 25.406 | 5534.2 |
402 | 2024-10-01 07:25:35 | biometrics | 1 | 67641 | 3 | 5.190 | 13032.9 |
401 | 2024-09-13 17:19:54 | biometrics | 3 | 140603 | 34 | 43.550 | 3228.5 |
400 | 2024-09-13 17:20:03 | biometrics | 2 | 108824 | 8 | 10.233 | 10634.6 |
399 | 2024-09-13 01:06:42 | biometrics | 3 | 140603 | 34 | 49.016 | 2868.5 |
398 | 2024-09-11 11:31:30 | biometrics | 3 | 140603 | 34 | 31.050 | 4528.3 |
397 | 2024-09-05 05:47:24 | biometrics | 3 | 140603 | 34 | 50.830 | 2766.1 |
396 | 2024-09-02 16:17:59 | biometrics | 2 | 108824 | 8 | 14.716 | 7394.9 |
395 | 2024-08-31 04:16:04 | biometrics | 3 | 140603 | 34 | 50.426 | 2788.3 |
394 | 2024-08-28 07:53:37 | biometrics | 3 | 140603 | 34 | 25.830 | 5443.4 |
393 | 2024-08-25 01:02:40 | biometrics | 3 | 140603 | 34 | 68.456 | 2053.9 |
392 | 2024-08-25 01:02:55 | biometrics | 4 | 161450 | 172 | 46.440 | 3476.5 |
391 | 2024-08-25 01:02:51 | biometrics | 2 | 108824 | 8 | 23.906 | 4552.2 |
390 | 2024-08-24 16:02:48 | biometrics | 1 | 67641 | 3 | 1.110 | 60937.8 |
389 | 2024-08-17 12:03:49 | biometrics | 1 | 67641 | 3 | 7.813 | 8657.5 |