History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"crosshairs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
532 | 2025-09-17 13:25:01 | crosshairs | 1 | 67641 | 2 | 1.923 | 35174.7 |
531 | 2025-09-16 22:19:57 | crosshairs | 1 | 67641 | 2 | 1.046 | 64666.3 |
530 | 2025-09-15 10:23:26 | crosshairs | 1 | 67641 | 2 | 1.063 | 63632.2 |
529 | 2025-09-14 05:58:36 | crosshairs | 1 | 67641 | 2 | 1.250 | 54112.8 |
528 | 2025-09-13 18:02:24 | crosshairs | 1 | 67641 | 2 | 1.063 | 63632.2 |
527 | 2025-09-11 16:38:44 | crosshairs | 1 | 67641 | 2 | 1.080 | 62630.6 |
526 | 2025-09-11 13:28:33 | crosshairs | 1 | 67641 | 2 | 1.156 | 58513.0 |
525 | 2025-09-10 21:02:08 | crosshairs | 1 | 67641 | 2 | 1.296 | 52192.1 |
524 | 2025-08-28 21:02:11 | crosshairs | 1 | 67641 | 2 | 1.186 | 57032.9 |
523 | 2025-08-27 06:43:12 | crosshairs | 1 | 67641 | 2 | 1.186 | 57032.9 |
522 | 2025-08-21 10:40:13 | crosshairs | 1 | 67641 | 2 | 5.500 | 12298.4 |
521 | 2025-08-20 14:51:06 | crosshairs | 4 | 161450 | 87 | 11.876 | 13594.6 |
520 | 2025-08-16 21:03:20 | crosshairs | 4 | 161450 | 87 | 37.313 | 4326.9 |
519 | 2025-08-15 06:56:39 | crosshairs | 4 | 161450 | 87 | 45.220 | 3570.3 |
518 | 2025-08-12 18:10:53 | crosshairs | 4 | 161450 | 87 | 52.890 | 3052.6 |
517 | 2025-08-09 06:17:51 | crosshairs | 1 | 67641 | 2 | 2.610 | 25916.1 |
516 | 2025-07-31 19:34:28 | crosshairs | 4 | 161450 | 87 | 43.000 | 3754.7 |
515 | 2025-07-27 18:52:39 | crosshairs | 4 | 161450 | 87 | 42.100 | 3834.9 |
514 | 2025-07-25 01:26:01 | crosshairs | 1 | 67641 | 2 | 4.060 | 16660.3 |
513 | 2025-07-23 23:58:31 | crosshairs | 1 | 67641 | 2 | 2.563 | 26391.3 |
512 | 2025-07-17 19:57:45 | crosshairs | 4 | 161450 | 87 | 42.406 | 3807.2 |
511 | 2025-07-17 12:56:38 | crosshairs | 1 | 67641 | 2 | 6.483 | 10433.6 |
510 | 2025-07-08 06:42:33 | crosshairs | 1 | 67641 | 2 | 5.653 | 11965.5 |
509 | 2025-06-08 13:33:44 | crosshairs | 1 | 67641 | 2 | 5.766 | 11731.0 |
508 | 2025-06-08 07:18:33 | crosshairs | 1 | 67641 | 2 | 8.173 | 8276.2 |
507 | 2025-06-07 14:28:00 | crosshairs | 3 | 140603 | 20 | 22.813 | 6163.3 |
506 | 2025-06-07 06:03:54 | crosshairs | 4 | 161450 | 87 | 46.580 | 3466.1 |
505 | 2025-06-05 12:14:41 | crosshairs | 2 | 108824 | 3 | 7.966 | 13661.1 |
504 | 2025-06-05 06:14:43 | crosshairs | 1 | 67641 | 2 | 5.253 | 12876.6 |
503 | 2025-06-04 09:50:45 | crosshairs | 5 | 173545 | 547 | 94.000 | 1846.2 |
502 | 2025-06-03 19:20:08 | crosshairs | 3 | 140603 | 20 | 6.360 | 22107.4 |
501 | 2025-06-03 13:26:49 | crosshairs | 4 | 161450 | 87 | 11.046 | 14616.2 |
500 | 2025-06-02 13:36:54 | crosshairs | 5 | 173545 | 547 | 69.393 | 2500.9 |
499 | 2025-06-02 13:23:48 | crosshairs | 5 | 173545 | 547 | 111.626 | 1554.7 |
498 | 2025-06-02 06:57:41 | crosshairs | 5 | 173545 | 547 | 69.876 | 2483.6 |
497 | 2025-06-02 04:57:53 | crosshairs | 5 | 173545 | 547 | 86.096 | 2015.7 |
496 | 2025-06-02 01:59:11 | crosshairs | 3 | 140603 | 20 | 51.846 | 2711.9 |
495 | 2025-06-02 01:24:11 | crosshairs | 2 | 108824 | 3 | 23.780 | 4576.3 |
494 | 2025-06-01 05:19:08 | crosshairs | 2 | 108824 | 3 | 11.093 | 9810.2 |
493 | 2025-06-01 05:13:00 | crosshairs | 2 | 108824 | 3 | 16.530 | 6583.4 |
492 | 2025-06-01 00:18:46 | crosshairs | 1 | 67641 | 2 | 6.016 | 11243.5 |
491 | 2025-05-31 10:38:49 | crosshairs | 3 | 140603 | 20 | 33.580 | 4187.1 |
490 | 2025-05-30 20:59:21 | crosshairs | 5 | 173545 | 547 | 73.493 | 2361.4 |
489 | 2025-05-30 03:31:15 | crosshairs | 1 | 67641 | 2 | 1.173 | 57665.0 |
488 | 2025-05-28 08:04:42 | crosshairs | 1 | 67641 | 2 | 1.250 | 54112.8 |
487 | 2025-05-26 10:11:06 | crosshairs | 1 | 67641 | 2 | 8.030 | 8423.5 |
486 | 2025-05-13 10:36:41 | crosshairs | 4 | 161450 | 87 | 13.066 | 12356.5 |
485 | 2025-05-12 22:55:57 | crosshairs | 4 | 161450 | 87 | 13.026 | 12394.4 |
484 | 2025-05-10 11:18:54 | crosshairs | 1 | 67641 | 2 | 1.203 | 56226.9 |
483 | 2025-05-10 02:05:03 | crosshairs | 4 | 161450 | 87 | 52.770 | 3059.5 |
482 | 2025-05-08 16:16:45 | crosshairs | 4 | 161450 | 87 | 72.050 | 2240.8 |
481 | 2025-05-05 13:56:24 | crosshairs | 3 | 140603 | 20 | 22.186 | 6337.5 |
480 | 2025-05-04 05:40:02 | crosshairs | 4 | 161450 | 87 | 52.093 | 3099.3 |
479 | 2025-04-28 22:18:56 | crosshairs | 3 | 140603 | 20 | 8.596 | 16356.8 |
478 | 2025-04-28 00:33:34 | crosshairs | 1 | 67641 | 2 | 7.376 | 9170.4 |
477 | 2025-04-26 01:46:16 | crosshairs | 3 | 140603 | 20 | 37.923 | 3707.6 |
476 | 2025-04-25 09:49:31 | crosshairs | 1 | 67641 | 2 | 1.250 | 54112.8 |
475 | 2025-04-25 04:22:49 | crosshairs | 4 | 161450 | 87 | 60.656 | 2661.7 |
474 | 2025-04-22 21:21:50 | crosshairs | 1 | 67641 | 2 | 8.500 | 7957.8 |
473 | 2025-04-22 08:59:49 | crosshairs | 4 | 161450 | 87 | 14.533 | 11109.2 |
472 | 2025-04-22 01:20:53 | crosshairs | 3 | 140603 | 20 | 22.016 | 6386.4 |
471 | 2025-04-18 06:58:41 | crosshairs | 1 | 67641 | 2 | 5.266 | 12844.9 |
470 | 2025-04-07 15:03:24 | crosshairs | 4 | 161450 | 87 | 14.753 | 10943.5 |
469 | 2025-04-07 14:59:27 | crosshairs | 4 | 161450 | 87 | 18.173 | 8884.1 |
468 | 2025-04-05 17:45:06 | crosshairs | 4 | 161450 | 87 | 14.696 | 10986.0 |
467 | 2025-04-05 17:39:56 | crosshairs | 3 | 140603 | 20 | 5.656 | 24859.1 |
466 | 2025-03-31 02:27:57 | crosshairs | 3 | 140603 | 20 | 47.800 | 2941.5 |
465 | 2025-03-23 01:47:44 | crosshairs | 1 | 67641 | 2 | 5.576 | 12130.7 |
464 | 2025-03-21 21:07:28 | crosshairs | 3 | 140603 | 20 | 32.173 | 4370.2 |
463 | 2025-03-19 22:15:44 | crosshairs | 1 | 67641 | 2 | 6.796 | 9953.1 |
462 | 2025-03-12 03:07:55 | crosshairs | 1 | 67641 | 2 | 3.686 | 18350.8 |
461 | 2025-03-10 15:06:20 | crosshairs | 1 | 67641 | 2 | 7.373 | 9174.1 |
460 | 2025-03-09 09:20:50 | crosshairs | 1 | 67641 | 2 | 5.706 | 11854.4 |
459 | 2025-03-08 04:04:27 | crosshairs | 3 | 140603 | 20 | 32.470 | 4330.2 |
458 | 2025-03-06 21:57:45 | crosshairs | 3 | 140603 | 20 | 37.563 | 3743.1 |
457 | 2025-03-06 02:16:22 | crosshairs | 3 | 140603 | 20 | 48.940 | 2873.0 |
456 | 2025-03-02 04:00:18 | crosshairs | 3 | 140603 | 20 | 30.176 | 4659.4 |
455 | 2025-03-01 20:47:43 | crosshairs | 2 | 108824 | 3 | 24.080 | 4519.3 |
454 | 2025-03-01 12:18:46 | crosshairs | 4 | 161450 | 87 | 64.860 | 2489.2 |
453 | 2025-03-01 12:18:39 | crosshairs | 3 | 140603 | 20 | 39.876 | 3526.0 |
452 | 2025-02-15 23:19:08 | crosshairs | 4 | 161450 | 87 | 83.536 | 1932.7 |
451 | 2025-02-15 11:32:16 | crosshairs | 3 | 140603 | 20 | 16.050 | 8760.3 |
450 | 2025-02-15 03:15:32 | crosshairs | 1 | 67641 | 2 | 5.610 | 12057.2 |
449 | 2025-02-14 18:12:02 | crosshairs | 3 | 140603 | 20 | 32.236 | 4361.7 |
448 | 2025-02-03 11:56:59 | crosshairs | 3 | 140603 | 20 | 33.376 | 4212.7 |
447 | 2025-02-03 11:57:13 | crosshairs | 2 | 108824 | 3 | 17.846 | 6097.9 |
446 | 2025-02-03 11:53:09 | crosshairs | 1 | 67641 | 2 | 1.186 | 57032.9 |
445 | 2025-02-02 15:44:37 | crosshairs | 2 | 108824 | 3 | 16.296 | 6678.0 |
444 | 2025-02-02 15:44:05 | crosshairs | 1 | 67641 | 2 | 4.003 | 16897.6 |
443 | 2025-02-01 15:55:22 | crosshairs | 3 | 140603 | 20 | 33.923 | 4144.8 |
442 | 2025-01-31 06:03:35 | crosshairs | 3 | 140603 | 20 | 14.330 | 9811.8 |
441 | 2025-01-29 03:24:46 | crosshairs | 4 | 161450 | 87 | 81.723 | 1975.6 |
440 | 2025-01-24 11:57:51 | crosshairs | 3 | 140603 | 20 | 29.673 | 4738.4 |
439 | 2025-01-16 05:02:37 | crosshairs | 4 | 161450 | 87 | 56.423 | 2861.4 |
438 | 2025-01-12 10:24:04 | crosshairs | 4 | 161450 | 87 | 55.880 | 2889.2 |
437 | 2025-01-05 05:08:16 | crosshairs | 4 | 161450 | 87 | 64.720 | 2494.6 |
436 | 2025-01-03 10:49:14 | crosshairs | 4 | 161450 | 87 | 58.820 | 2744.8 |
435 | 2025-01-03 10:49:30 | crosshairs | 2 | 108824 | 3 | 17.316 | 6284.6 |
434 | 2025-01-03 10:46:44 | crosshairs | 1 | 67641 | 2 | 1.063 | 63632.2 |
433 | 2025-01-03 06:44:02 | crosshairs | 1 | 67641 | 2 | 5.530 | 12231.6 |