History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"metrical"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
497 | 2025-09-08 08:56:36 | metrical | 1 | 82945 | 2 | 1.513 | 54821.5 |
496 | 2025-08-30 14:09:32 | metrical | 1 | 82945 | 2 | 1.440 | 57600.7 |
495 | 2025-08-09 15:11:29 | metrical | 1 | 82945 | 2 | 7.033 | 11793.7 |
494 | 2025-08-04 15:20:48 | metrical | 1 | 82945 | 2 | 1.513 | 54821.5 |
493 | 2025-07-31 22:55:01 | metrical | 1 | 82945 | 2 | 4.720 | 17573.1 |
492 | 2025-07-27 21:24:48 | metrical | 2 | 121059 | 16 | 13.330 | 9081.7 |
491 | 2025-07-27 06:29:52 | metrical | 1 | 82945 | 2 | 3.733 | 22219.4 |
490 | 2025-07-26 11:55:25 | metrical | 1 | 82945 | 2 | 1.920 | 43200.5 |
489 | 2025-07-24 03:02:53 | metrical | 1 | 82945 | 2 | 7.643 | 10852.4 |
488 | 2025-07-23 03:48:55 | metrical | 1 | 82945 | 2 | 3.670 | 22600.8 |
487 | 2025-07-21 10:41:27 | metrical | 1 | 82945 | 2 | 1.420 | 58412.0 |
486 | 2025-07-17 18:05:10 | metrical | 1 | 82945 | 2 | 10.486 | 7910.1 |
485 | 2025-07-12 07:07:11 | metrical | 1 | 82945 | 2 | 2.546 | 32578.6 |
484 | 2025-07-04 19:00:58 | metrical | 1 | 82945 | 2 | 5.360 | 15474.8 |
483 | 2025-07-02 10:20:38 | metrical | 1 | 82945 | 2 | 3.906 | 21235.3 |
482 | 2025-06-29 17:57:55 | metrical | 3 | 146162 | 125 | 16.203 | 9020.7 |
481 | 2025-06-21 16:47:14 | metrical | 1 | 82945 | 2 | 3.580 | 23169.0 |
480 | 2025-06-18 13:16:13 | metrical | 3 | 146162 | 125 | 26.343 | 5548.4 |
479 | 2025-06-18 07:27:02 | metrical | 2 | 121059 | 16 | 18.360 | 6593.6 |
478 | 2025-06-17 12:35:15 | metrical | 1 | 82945 | 2 | 1.436 | 57761.1 |
477 | 2025-06-13 13:33:57 | metrical | 1 | 82945 | 2 | 1.360 | 60989.0 |
476 | 2025-06-11 12:46:05 | metrical | 1 | 82945 | 2 | 1.313 | 63172.1 |
475 | 2025-06-07 18:57:45 | metrical | 1 | 82945 | 2 | 3.326 | 24938.4 |
474 | 2025-06-01 01:50:11 | metrical | 1 | 82945 | 2 | 7.703 | 10767.9 |
473 | 2025-06-01 01:42:59 | metrical | 1 | 82945 | 2 | 4.716 | 17588.0 |
472 | 2025-05-31 09:52:22 | metrical | 1 | 82945 | 2 | 3.720 | 22297.0 |
471 | 2025-05-31 01:57:54 | metrical | 1 | 82945 | 2 | 3.656 | 22687.4 |
470 | 2025-05-27 22:29:59 | metrical | 3 | 146162 | 125 | 7.843 | 18636.0 |
469 | 2025-05-27 15:35:56 | metrical | 1 | 82945 | 2 | 6.953 | 11929.4 |
468 | 2025-05-27 00:01:58 | metrical | 3 | 146162 | 125 | 37.126 | 3936.9 |
467 | 2025-05-26 20:20:39 | metrical | 2 | 121059 | 16 | 16.970 | 7133.7 |
466 | 2025-05-26 19:59:50 | metrical | 3 | 146162 | 125 | 19.156 | 7630.1 |
465 | 2025-05-26 05:42:36 | metrical | 3 | 146162 | 125 | 35.190 | 4153.5 |
464 | 2025-05-24 22:22:07 | metrical | 1 | 82945 | 2 | 3.406 | 24352.6 |
463 | 2025-05-16 03:50:34 | metrical | 1 | 82945 | 2 | 7.596 | 10919.6 |
462 | 2025-05-15 16:10:17 | metrical | 2 | 121059 | 16 | 3.750 | 32282.4 |
461 | 2025-05-13 12:11:11 | metrical | 1 | 82945 | 2 | 3.063 | 27079.7 |
460 | 2025-05-12 13:51:30 | metrical | 1 | 82945 | 2 | 6.483 | 12794.2 |
459 | 2025-04-28 23:39:05 | metrical | 1 | 82945 | 2 | 6.453 | 12853.7 |
458 | 2025-04-28 02:13:27 | metrical | 2 | 121059 | 16 | 12.936 | 9358.3 |
457 | 2025-04-28 01:56:03 | metrical | 1 | 82945 | 2 | 7.533 | 11010.9 |
456 | 2025-04-27 19:34:49 | metrical | 3 | 146162 | 125 | 45.056 | 3244.0 |
455 | 2025-04-27 09:40:54 | metrical | 1 | 82945 | 2 | 3.406 | 24352.6 |
454 | 2025-04-26 11:59:47 | metrical | 1 | 82945 | 2 | 7.000 | 11849.3 |
453 | 2025-04-25 02:42:27 | metrical | 1 | 82945 | 2 | 3.470 | 23903.5 |
452 | 2025-04-22 20:49:11 | metrical | 1 | 82945 | 2 | 6.950 | 11934.5 |
451 | 2025-04-17 21:59:20 | metrical | 2 | 121059 | 16 | 14.906 | 8121.5 |
450 | 2025-04-17 16:42:11 | metrical | 3 | 146162 | 125 | 7.986 | 18302.3 |
449 | 2025-04-11 17:44:26 | metrical | 2 | 121059 | 16 | 18.360 | 6593.6 |
448 | 2025-04-11 17:29:49 | metrical | 3 | 146162 | 125 | 33.110 | 4414.4 |
447 | 2025-04-10 12:10:07 | metrical | 1 | 82945 | 2 | 1.453 | 57085.3 |
446 | 2025-04-02 13:15:21 | metrical | 1 | 82945 | 2 | 5.423 | 15295.0 |
445 | 2025-03-28 02:15:54 | metrical | 1 | 82945 | 2 | 7.156 | 11591.0 |
444 | 2025-03-25 03:09:30 | metrical | 3 | 146162 | 125 | 19.080 | 7660.5 |
443 | 2025-03-19 21:17:37 | metrical | 1 | 82945 | 2 | 5.500 | 15080.9 |
442 | 2025-03-14 08:48:11 | metrical | 1 | 82945 | 2 | 9.283 | 8935.2 |
441 | 2025-03-12 12:17:38 | metrical | 3 | 146162 | 125 | 39.063 | 3741.7 |
440 | 2025-03-12 03:58:42 | metrical | 3 | 146162 | 125 | 38.160 | 3830.2 |
439 | 2025-03-11 05:29:57 | metrical | 1 | 82945 | 2 | 4.640 | 17876.1 |
438 | 2025-02-26 02:11:46 | metrical | 1 | 82945 | 2 | 5.250 | 15799.0 |
437 | 2025-02-24 15:33:48 | metrical | 3 | 146162 | 125 | 11.263 | 12977.2 |
436 | 2025-02-24 15:33:44 | metrical | 2 | 121059 | 16 | 11.186 | 10822.4 |
435 | 2025-02-18 19:56:35 | metrical | 3 | 146162 | 125 | 37.833 | 3863.3 |
434 | 2025-02-18 11:50:54 | metrical | 2 | 121059 | 16 | 13.456 | 8996.7 |
433 | 2025-02-18 07:45:33 | metrical | 1 | 82945 | 2 | 6.876 | 12063.0 |
432 | 2025-02-12 04:18:28 | metrical | 3 | 146162 | 125 | 32.660 | 4475.3 |
431 | 2025-02-11 11:02:10 | metrical | 1 | 82945 | 2 | 8.390 | 9886.2 |
430 | 2025-02-09 19:25:37 | metrical | 3 | 146162 | 125 | 42.756 | 3418.5 |
429 | 2025-02-09 11:52:14 | metrical | 3 | 146162 | 125 | 7.576 | 19292.8 |
428 | 2025-02-08 08:16:51 | metrical | 1 | 82945 | 2 | 8.310 | 9981.3 |
427 | 2025-02-05 14:14:36 | metrical | 2 | 121059 | 16 | 16.346 | 7406.0 |
426 | 2025-02-05 14:14:23 | metrical | 1 | 82945 | 2 | 5.516 | 15037.2 |
425 | 2025-02-05 07:05:16 | metrical | 1 | 82945 | 2 | 4.830 | 17172.9 |
424 | 2025-01-25 03:09:04 | metrical | 2 | 121059 | 16 | 3.643 | 33230.6 |
423 | 2025-01-25 03:08:16 | metrical | 3 | 146162 | 125 | 6.810 | 21462.8 |
422 | 2025-01-16 21:22:24 | metrical | 1 | 82945 | 2 | 6.593 | 12580.8 |
421 | 2025-01-15 17:58:03 | metrical | 3 | 146162 | 125 | 53.316 | 2741.4 |
420 | 2025-01-15 04:07:54 | metrical | 3 | 146162 | 125 | 38.970 | 3750.6 |
419 | 2025-01-15 04:07:34 | metrical | 2 | 121059 | 16 | 15.970 | 7580.4 |
418 | 2025-01-15 00:50:42 | metrical | 1 | 82945 | 2 | 4.423 | 18753.1 |
417 | 2025-01-11 06:32:31 | metrical | 3 | 146162 | 125 | 43.440 | 3364.7 |
416 | 2025-01-10 05:23:13 | metrical | 3 | 146162 | 125 | 42.100 | 3471.8 |
415 | 2025-01-10 05:23:14 | metrical | 2 | 121059 | 16 | 8.566 | 14132.5 |
414 | 2025-01-10 05:23:13 | metrical | 1 | 82945 | 2 | 5.703 | 14544.1 |
413 | 2025-01-04 02:01:50 | metrical | 2 | 121059 | 16 | 18.673 | 6483.1 |
412 | 2025-01-01 20:00:46 | metrical | 2 | 121059 | 16 | 4.000 | 30264.8 |
411 | 2025-01-01 20:00:41 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
410 | 2024-12-11 14:28:57 | metrical | 3 | 146162 | 125 | 37.406 | 3907.4 |
409 | 2024-12-10 05:30:35 | metrical | 3 | 146162 | 125 | 37.533 | 3894.2 |
408 | 2024-12-10 00:22:22 | metrical | 3 | 146162 | 125 | 36.223 | 4035.1 |
407 | 2024-12-09 18:29:27 | metrical | 2 | 121059 | 16 | 3.796 | 31891.2 |
406 | 2024-12-09 18:28:41 | metrical | 3 | 146162 | 125 | 8.860 | 16496.8 |
405 | 2024-12-06 23:47:37 | metrical | 1 | 82945 | 2 | 1.390 | 59672.7 |
404 | 2024-12-04 19:22:07 | metrical | 3 | 146162 | 125 | 6.376 | 22923.8 |
403 | 2024-12-02 19:57:52 | metrical | 3 | 146162 | 125 | 15.190 | 9622.3 |
402 | 2024-11-26 18:05:23 | metrical | 1 | 82945 | 2 | 1.483 | 55930.5 |
401 | 2024-11-11 20:11:13 | metrical | 2 | 121059 | 16 | 9.156 | 13221.8 |
400 | 2024-11-09 14:55:00 | metrical | 3 | 146162 | 125 | 19.783 | 7388.3 |
399 | 2024-11-08 22:39:05 | metrical | 3 | 146162 | 125 | 50.346 | 2903.2 |
398 | 2024-11-08 18:51:09 | metrical | 3 | 146162 | 125 | 7.640 | 19131.2 |