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 |
| 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 |
| 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 |