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 |
| 581 | 2026-02-27 04:39:52 | crosshairs | 5 | 173545 | 547 | 65.803 | 2637.3 |
| 580 | 2026-02-15 00:44:32 | crosshairs | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 579 | 2026-02-14 17:50:03 | crosshairs | 1 | 67641 | 2 | 1.953 | 34634.4 |
| 578 | 2026-02-14 07:53:03 | crosshairs | 5 | 173545 | 547 | 16.753 | 10359.0 |
| 577 | 2026-02-12 20:08:32 | crosshairs | 1 | 67641 | 2 | 3.233 | 20922.1 |
| 576 | 2026-02-12 00:48:10 | crosshairs | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 575 | 2026-02-06 04:56:55 | crosshairs | 5 | 173545 | 547 | 18.876 | 9193.9 |
| 574 | 2026-02-05 01:12:26 | crosshairs | 1 | 67641 | 2 | 2.360 | 28661.4 |
| 573 | 2026-01-30 02:07:05 | crosshairs | 5 | 173545 | 547 | 21.470 | 8083.1 |
| 572 | 2026-01-24 07:45:18 | crosshairs | 5 | 173545 | 547 | 16.656 | 10419.4 |
| 571 | 2026-01-24 07:44:56 | crosshairs | 5 | 173545 | 547 | 16.966 | 10229.0 |
| 570 | 2026-01-21 08:07:59 | crosshairs | 5 | 173545 | 547 | 42.880 | 4047.2 |
| 569 | 2026-01-21 08:07:48 | crosshairs | 5 | 173545 | 547 | 42.283 | 4104.4 |
| 568 | 2026-01-14 16:05:03 | crosshairs | 5 | 173545 | 547 | 17.533 | 9898.2 |
| 567 | 2026-01-06 06:52:46 | crosshairs | 5 | 173545 | 547 | 24.110 | 7198.1 |
| 566 | 2025-12-12 11:56:26 | crosshairs | 5 | 173545 | 547 | 52.880 | 3281.9 |
| 565 | 2025-12-12 04:04:35 | crosshairs | 5 | 173545 | 547 | 84.176 | 2061.7 |
| 564 | 2025-12-12 00:43:00 | crosshairs | 3 | 140603 | 20 | 32.656 | 4305.6 |
| 563 | 2025-12-09 12:28:26 | crosshairs | 5 | 173545 | 547 | 16.470 | 10537.0 |
| 562 | 2025-12-08 20:06:01 | crosshairs | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 561 | 2025-12-07 05:41:14 | crosshairs | 5 | 173545 | 547 | 30.073 | 5770.8 |
| 560 | 2025-12-06 06:12:07 | crosshairs | 1 | 67641 | 2 | 1.283 | 52721.0 |
| 559 | 2025-12-04 08:56:08 | crosshairs | 3 | 140603 | 20 | 5.796 | 24258.6 |
| 558 | 2025-12-03 20:36:10 | crosshairs | 5 | 173545 | 547 | 16.296 | 10649.5 |
| 557 | 2025-12-01 01:42:15 | crosshairs | 5 | 173545 | 547 | 17.656 | 9829.2 |
| 556 | 2025-11-22 09:39:44 | crosshairs | 3 | 140603 | 20 | 28.253 | 4976.6 |
| 555 | 2025-11-22 09:04:42 | crosshairs | 1 | 67641 | 2 | 1.310 | 51634.4 |
| 554 | 2025-11-20 21:27:35 | crosshairs | 1 | 67641 | 2 | 2.466 | 27429.4 |
| 553 | 2025-11-17 14:27:45 | crosshairs | 1 | 67641 | 2 | 1.313 | 51516.4 |
| 552 | 2025-11-17 05:26:40 | crosshairs | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 551 | 2025-11-17 04:49:02 | crosshairs | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 550 | 2025-11-12 00:15:11 | crosshairs | 1 | 67641 | 2 | 1.343 | 50365.6 |
| 549 | 2025-11-08 07:05:44 | crosshairs | 2 | 108824 | 3 | 2.826 | 38508.1 |
| 548 | 2025-11-08 00:02:50 | crosshairs | 3 | 140603 | 20 | 5.623 | 25005.0 |
| 547 | 2025-11-07 20:03:49 | crosshairs | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 546 | 2025-11-06 01:09:55 | crosshairs | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 545 | 2025-11-05 19:39:41 | crosshairs | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 544 | 2025-11-05 15:01:25 | crosshairs | 3 | 140603 | 20 | 6.500 | 21631.2 |
| 543 | 2025-11-01 11:26:11 | crosshairs | 5 | 173545 | 547 | 17.923 | 9682.8 |
| 542 | 2025-10-22 10:05:06 | crosshairs | 1 | 67641 | 2 | 5.890 | 11484.0 |
| 541 | 2025-10-18 22:29:39 | crosshairs | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 540 | 2025-10-17 14:31:33 | crosshairs | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 539 | 2025-10-16 06:32:44 | crosshairs | 1 | 67641 | 2 | 1.296 | 52192.1 |
| 538 | 2025-10-16 06:29:05 | crosshairs | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 537 | 2025-10-11 23:58:18 | crosshairs | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 536 | 2025-10-06 10:40:35 | crosshairs | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 535 | 2025-09-29 09:47:19 | crosshairs | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 534 | 2025-09-29 02:14:44 | crosshairs | 5 | 173545 | 547 | 26.313 | 6595.4 |
| 533 | 2025-09-21 10:01:59 | crosshairs | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 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 |