History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coalyard"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
524 | 2025-08-26 19:36:03 | coalyard | 1 | 82945 | 2 | 1.516 | 54713.1 |
523 | 2025-08-15 23:23:48 | coalyard | 1 | 82945 | 2 | 1.393 | 59544.1 |
522 | 2025-08-11 01:02:05 | coalyard | 4 | 161609 | 475 | 71.123 | 2272.2 |
521 | 2025-08-07 16:01:11 | coalyard | 4 | 161609 | 475 | 56.080 | 2881.8 |
520 | 2025-08-07 16:01:08 | coalyard | 4 | 161609 | 475 | 55.550 | 2909.3 |
519 | 2025-08-07 08:10:34 | coalyard | 2 | 121059 | 6 | 12.596 | 9610.9 |
518 | 2025-08-07 08:10:02 | coalyard | 2 | 121059 | 6 | 9.796 | 12358.0 |
517 | 2025-08-07 07:12:20 | coalyard | 3 | 146162 | 51 | 26.876 | 5438.4 |
516 | 2025-08-04 07:26:53 | coalyard | 1 | 82945 | 2 | 1.466 | 56579.1 |
515 | 2025-08-04 05:32:27 | coalyard | 1 | 82945 | 2 | 7.406 | 11199.7 |
514 | 2025-07-25 21:01:56 | coalyard | 1 | 82945 | 2 | 4.203 | 19734.7 |
513 | 2025-07-24 07:58:49 | coalyard | 1 | 82945 | 2 | 4.843 | 17126.8 |
512 | 2025-07-19 01:59:29 | coalyard | 3 | 146162 | 51 | 7.283 | 20068.9 |
511 | 2025-07-19 01:53:57 | coalyard | 3 | 146162 | 51 | 8.923 | 16380.4 |
510 | 2025-07-19 01:29:18 | coalyard | 2 | 121059 | 6 | 3.923 | 30858.8 |
509 | 2025-07-16 00:31:23 | coalyard | 1 | 82945 | 2 | 7.310 | 11346.8 |
508 | 2025-07-13 17:14:42 | coalyard | 3 | 146162 | 51 | 7.873 | 18565.0 |
507 | 2025-07-13 12:01:57 | coalyard | 2 | 121059 | 6 | 7.783 | 15554.3 |
506 | 2025-07-13 09:31:09 | coalyard | 3 | 146162 | 51 | 8.986 | 16265.5 |
505 | 2025-07-12 12:39:37 | coalyard | 1 | 82945 | 2 | 1.533 | 54106.3 |
504 | 2025-07-04 09:19:24 | coalyard | 1 | 82945 | 2 | 7.500 | 11059.3 |
503 | 2025-07-03 01:02:14 | coalyard | 2 | 121059 | 6 | 18.280 | 6622.5 |
502 | 2025-06-27 12:21:47 | coalyard | 1 | 82945 | 2 | 1.640 | 50576.2 |
501 | 2025-06-25 10:03:08 | coalyard | 1 | 82945 | 2 | 2.313 | 35860.4 |
500 | 2025-06-24 10:35:50 | coalyard | 1 | 82945 | 2 | 7.470 | 11103.7 |
499 | 2025-06-20 04:19:51 | coalyard | 1 | 82945 | 2 | 4.296 | 19307.5 |
498 | 2025-06-15 11:33:23 | coalyard | 2 | 121059 | 6 | 13.580 | 8914.5 |
497 | 2025-06-12 10:54:07 | coalyard | 3 | 146162 | 51 | 45.626 | 3203.5 |
496 | 2025-06-08 07:28:44 | coalyard | 3 | 146162 | 51 | 19.906 | 7342.6 |
495 | 2025-06-07 19:02:34 | coalyard | 3 | 146162 | 51 | 25.953 | 5631.8 |
494 | 2025-06-05 10:57:55 | coalyard | 3 | 146162 | 51 | 30.893 | 4731.2 |
493 | 2025-06-04 21:52:48 | coalyard | 3 | 146162 | 51 | 37.770 | 3869.8 |
492 | 2025-06-04 08:35:42 | coalyard | 1 | 82945 | 2 | 8.330 | 9957.4 |
491 | 2025-06-02 15:15:07 | coalyard | 3 | 146162 | 51 | 38.643 | 3782.4 |
490 | 2025-06-01 13:40:23 | coalyard | 2 | 121059 | 6 | 11.170 | 10837.9 |
489 | 2025-06-01 13:07:57 | coalyard | 3 | 146162 | 51 | 49.033 | 2980.9 |
488 | 2025-05-30 06:57:45 | coalyard | 1 | 82945 | 2 | 3.580 | 23169.0 |
487 | 2025-05-26 06:46:08 | coalyard | 1 | 82945 | 2 | 5.873 | 14123.1 |
486 | 2025-05-26 02:41:56 | coalyard | 3 | 146162 | 51 | 23.676 | 6173.4 |
485 | 2025-05-24 11:22:27 | coalyard | 1 | 82945 | 2 | 7.283 | 11388.9 |
484 | 2025-05-14 23:14:27 | coalyard | 1 | 82945 | 2 | 1.310 | 63316.8 |
483 | 2025-05-14 04:46:56 | coalyard | 1 | 82945 | 2 | 8.046 | 10308.8 |
482 | 2025-05-11 09:29:38 | coalyard | 1 | 82945 | 2 | 1.453 | 57085.3 |
481 | 2025-05-09 10:09:27 | coalyard | 1 | 82945 | 2 | 1.360 | 60989.0 |
480 | 2025-05-03 02:40:23 | coalyard | 2 | 121059 | 6 | 28.093 | 4309.2 |
479 | 2025-05-03 02:25:50 | coalyard | 3 | 146162 | 51 | 38.546 | 3791.9 |
478 | 2025-05-02 00:41:57 | coalyard | 4 | 161609 | 475 | 42.770 | 3778.6 |
477 | 2025-05-01 23:00:40 | coalyard | 4 | 161609 | 475 | 57.003 | 2835.1 |
476 | 2025-04-30 23:57:43 | coalyard | 4 | 161609 | 475 | 55.126 | 2931.6 |
475 | 2025-04-30 03:48:38 | coalyard | 1 | 82945 | 2 | 10.046 | 8256.5 |
474 | 2025-04-23 09:29:27 | coalyard | 1 | 82945 | 2 | 4.156 | 19957.9 |
473 | 2025-04-22 14:47:06 | coalyard | 3 | 146162 | 51 | 19.486 | 7500.9 |
472 | 2025-04-15 07:18:53 | coalyard | 4 | 161609 | 475 | 68.846 | 2347.4 |
471 | 2025-04-15 02:27:53 | coalyard | 4 | 161609 | 475 | 61.783 | 2615.8 |
470 | 2025-04-14 20:40:49 | coalyard | 3 | 146162 | 51 | 14.220 | 10278.6 |
469 | 2025-04-14 03:33:56 | coalyard | 3 | 146162 | 51 | 26.553 | 5504.5 |
468 | 2025-04-12 15:02:51 | coalyard | 2 | 121059 | 6 | 9.910 | 12215.8 |
467 | 2025-04-12 06:58:34 | coalyard | 3 | 146162 | 51 | 37.800 | 3866.7 |
466 | 2025-04-11 22:56:59 | coalyard | 4 | 161609 | 475 | 86.003 | 1879.1 |
465 | 2025-04-11 08:14:25 | coalyard | 1 | 82945 | 2 | 3.796 | 21850.6 |
464 | 2025-04-10 10:51:27 | coalyard | 4 | 161609 | 475 | 12.906 | 12522.0 |
463 | 2025-04-10 01:25:56 | coalyard | 3 | 146162 | 51 | 7.436 | 19656.0 |
462 | 2025-04-08 07:22:32 | coalyard | 2 | 121059 | 6 | 3.813 | 31749.0 |
461 | 2025-04-08 06:55:24 | coalyard | 3 | 146162 | 51 | 34.800 | 4200.1 |
460 | 2025-03-30 00:50:25 | coalyard | 4 | 161609 | 475 | 20.610 | 7841.3 |
459 | 2025-03-29 12:38:51 | coalyard | 3 | 146162 | 51 | 25.140 | 5813.9 |
458 | 2025-03-29 01:47:21 | coalyard | 4 | 161609 | 475 | 69.456 | 2326.8 |
457 | 2025-03-28 23:40:50 | coalyard | 4 | 161609 | 475 | 61.176 | 2641.7 |
456 | 2025-03-26 17:07:51 | coalyard | 4 | 161609 | 475 | 11.390 | 14188.7 |
455 | 2025-03-23 04:07:47 | coalyard | 1 | 82945 | 2 | 7.623 | 10880.9 |
454 | 2025-03-22 06:19:11 | coalyard | 3 | 146162 | 51 | 23.130 | 6319.2 |
453 | 2025-03-20 20:07:20 | coalyard | 1 | 82945 | 2 | 2.936 | 28251.0 |
452 | 2025-03-15 14:31:25 | coalyard | 1 | 82945 | 2 | 6.830 | 12144.2 |
451 | 2025-03-15 14:30:33 | coalyard | 3 | 146162 | 51 | 42.050 | 3475.9 |
450 | 2025-03-15 14:30:32 | coalyard | 3 | 146162 | 51 | 35.003 | 4175.7 |
449 | 2025-03-15 14:30:24 | coalyard | 2 | 121059 | 6 | 19.220 | 6298.6 |
448 | 2025-03-09 04:53:14 | coalyard | 1 | 82945 | 2 | 11.703 | 7087.5 |
447 | 2025-03-05 03:42:58 | coalyard | 1 | 82945 | 2 | 9.360 | 8861.6 |
446 | 2025-03-03 01:40:20 | coalyard | 3 | 146162 | 51 | 54.473 | 2683.2 |
445 | 2025-03-03 01:33:41 | coalyard | 3 | 146162 | 51 | 44.143 | 3311.1 |
444 | 2025-03-03 01:33:40 | coalyard | 2 | 121059 | 6 | 25.550 | 4738.1 |
443 | 2025-03-03 01:16:15 | coalyard | 1 | 82945 | 2 | 3.346 | 24789.3 |
442 | 2025-02-26 16:14:03 | coalyard | 3 | 146162 | 51 | 43.990 | 3322.6 |
441 | 2025-02-22 12:10:24 | coalyard | 3 | 146162 | 51 | 38.393 | 3807.0 |
440 | 2025-02-15 20:56:52 | coalyard | 4 | 161609 | 475 | 68.833 | 2347.8 |
439 | 2025-02-13 09:20:51 | coalyard | 4 | 161609 | 475 | 61.610 | 2623.1 |
438 | 2025-02-13 09:20:49 | coalyard | 2 | 121059 | 6 | 19.263 | 6284.5 |
437 | 2025-02-13 09:19:48 | coalyard | 1 | 82945 | 2 | 3.560 | 23299.2 |
436 | 2025-02-12 16:25:22 | coalyard | 2 | 121059 | 6 | 29.390 | 4119.1 |
435 | 2025-02-12 16:24:56 | coalyard | 3 | 146162 | 51 | 11.640 | 12556.9 |
434 | 2025-02-12 12:44:06 | coalyard | 1 | 82945 | 2 | 7.360 | 11269.7 |
433 | 2025-02-11 15:24:53 | coalyard | 3 | 146162 | 51 | 38.426 | 3803.7 |
432 | 2025-02-11 04:34:43 | coalyard | 3 | 146162 | 51 | 29.630 | 4932.9 |
431 | 2025-02-08 13:38:30 | coalyard | 3 | 146162 | 51 | 10.826 | 13501.0 |
430 | 2025-02-08 13:38:29 | coalyard | 2 | 121059 | 6 | 4.186 | 28920.0 |
429 | 2025-02-08 13:38:28 | coalyard | 1 | 82945 | 2 | 1.593 | 52068.4 |
428 | 2025-02-04 12:45:42 | coalyard | 1 | 82945 | 2 | 3.843 | 21583.4 |
427 | 2025-01-16 23:17:53 | coalyard | 3 | 146162 | 51 | 44.266 | 3301.9 |
426 | 2025-01-03 16:03:47 | coalyard | 3 | 146162 | 51 | 40.080 | 3646.8 |
425 | 2025-01-03 16:01:48 | coalyard | 1 | 82945 | 2 | 7.296 | 11368.6 |