History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shipments"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 537 | 2025-10-26 03:50:12 | shipments | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 536 | 2025-10-22 11:19:23 | shipments | 1 | 81242 | 2 | 6.940 | 11706.3 |
| 535 | 2025-10-14 17:03:41 | shipments | 1 | 81242 | 2 | 1.263 | 64324.6 |
| 534 | 2025-10-13 09:15:43 | shipments | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 533 | 2025-10-12 12:25:28 | shipments | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 532 | 2025-10-11 20:48:13 | shipments | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 531 | 2025-09-30 14:38:03 | shipments | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 530 | 2025-09-29 04:56:25 | shipments | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 529 | 2025-09-19 01:34:29 | shipments | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 528 | 2025-09-12 09:02:02 | shipments | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 527 | 2025-09-11 12:26:36 | shipments | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 526 | 2025-09-11 04:17:40 | shipments | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 525 | 2025-09-10 21:12:42 | shipments | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 524 | 2025-09-10 16:45:16 | shipments | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 523 | 2025-08-30 15:17:55 | shipments | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 522 | 2025-08-28 05:10:20 | shipments | 1 | 81242 | 2 | 1.310 | 62016.8 |
| 521 | 2025-08-19 01:59:28 | shipments | 1 | 81242 | 2 | 2.733 | 29726.3 |
| 520 | 2025-08-09 19:04:29 | shipments | 1 | 81242 | 2 | 5.830 | 13935.2 |
| 519 | 2025-08-04 11:10:34 | shipments | 1 | 81242 | 2 | 2.626 | 30937.5 |
| 518 | 2025-07-30 14:39:24 | shipments | 1 | 81242 | 2 | 3.533 | 22995.2 |
| 517 | 2025-07-24 21:43:36 | shipments | 1 | 81242 | 2 | 3.596 | 22592.3 |
| 516 | 2025-07-20 17:34:36 | shipments | 2 | 121436 | 4 | 3.920 | 30978.6 |
| 515 | 2025-07-17 04:25:38 | shipments | 1 | 81242 | 2 | 3.250 | 24997.5 |
| 514 | 2025-07-09 23:01:11 | shipments | 3 | 148641 | 38 | 28.220 | 5267.2 |
| 513 | 2025-07-08 05:35:29 | shipments | 3 | 148641 | 38 | 37.610 | 3952.2 |
| 512 | 2025-07-05 13:52:32 | shipments | 3 | 148641 | 38 | 43.456 | 3420.5 |
| 511 | 2025-06-28 13:33:06 | shipments | 1 | 81242 | 2 | 4.140 | 19623.7 |
| 510 | 2025-06-25 08:22:17 | shipments | 3 | 148641 | 38 | 29.076 | 5112.2 |
| 509 | 2025-06-25 03:19:06 | shipments | 2 | 121436 | 4 | 16.533 | 7345.1 |
| 508 | 2025-06-25 01:55:32 | shipments | 3 | 148641 | 38 | 38.250 | 3886.0 |
| 507 | 2025-06-24 17:31:22 | shipments | 1 | 81242 | 2 | 4.156 | 19548.1 |
| 506 | 2025-06-20 02:09:37 | shipments | 1 | 81242 | 2 | 3.813 | 21306.6 |
| 505 | 2025-06-17 03:02:32 | shipments | 1 | 81242 | 2 | 6.546 | 12410.9 |
| 504 | 2025-06-14 13:27:26 | shipments | 1 | 81242 | 2 | 3.836 | 21178.8 |
| 503 | 2025-06-08 15:28:11 | shipments | 1 | 81242 | 2 | 7.720 | 10523.6 |
| 502 | 2025-06-07 03:37:39 | shipments | 4 | 165329 | 380 | 54.640 | 3025.8 |
| 501 | 2025-06-04 14:14:03 | shipments | 4 | 165329 | 380 | 49.016 | 3373.0 |
| 500 | 2025-06-03 14:08:28 | shipments | 3 | 148641 | 38 | 12.063 | 12322.1 |
| 499 | 2025-06-01 01:11:02 | shipments | 1 | 81242 | 2 | 6.920 | 11740.2 |
| 498 | 2025-05-28 19:04:15 | shipments | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 497 | 2025-05-27 02:13:35 | shipments | 4 | 165329 | 380 | 60.786 | 2719.9 |
| 496 | 2025-05-26 16:24:39 | shipments | 4 | 165329 | 380 | 31.483 | 5251.4 |
| 495 | 2025-05-26 01:07:30 | shipments | 4 | 165329 | 380 | 67.866 | 2436.1 |
| 494 | 2025-05-25 09:58:27 | shipments | 4 | 165329 | 380 | 12.453 | 13276.2 |
| 493 | 2025-05-23 08:00:02 | shipments | 4 | 165329 | 380 | 47.896 | 3451.8 |
| 492 | 2025-05-23 05:39:27 | shipments | 3 | 148641 | 38 | 18.860 | 7881.3 |
| 491 | 2025-05-23 03:17:48 | shipments | 2 | 121436 | 4 | 3.596 | 33769.7 |
| 490 | 2025-05-23 01:32:11 | shipments | 3 | 148641 | 38 | 7.470 | 19898.4 |
| 489 | 2025-05-22 18:31:55 | shipments | 1 | 81242 | 2 | 1.953 | 41598.6 |
| 488 | 2025-05-21 14:56:30 | shipments | 3 | 148641 | 38 | 27.453 | 5414.4 |
| 487 | 2025-04-28 14:52:08 | shipments | 1 | 81242 | 2 | 6.563 | 12378.8 |
| 486 | 2025-04-25 01:39:22 | shipments | 1 | 81242 | 2 | 2.626 | 30937.5 |
| 485 | 2025-04-24 07:29:09 | shipments | 2 | 121436 | 4 | 15.906 | 7634.6 |
| 484 | 2025-04-18 01:50:42 | shipments | 1 | 81242 | 2 | 3.486 | 23305.2 |
| 483 | 2025-04-06 13:39:28 | shipments | 1 | 81242 | 2 | 7.593 | 10699.6 |
| 482 | 2025-04-05 17:45:15 | shipments | 1 | 81242 | 2 | 1.563 | 51978.2 |
| 481 | 2025-03-27 19:27:09 | shipments | 1 | 81242 | 2 | 6.640 | 12235.2 |
| 480 | 2025-03-25 14:33:17 | shipments | 1 | 81242 | 2 | 6.830 | 11894.9 |
| 479 | 2025-03-13 16:14:42 | shipments | 3 | 148641 | 38 | 33.336 | 4458.9 |
| 478 | 2025-03-13 16:14:34 | shipments | 2 | 121436 | 4 | 21.450 | 5661.4 |
| 477 | 2025-03-13 16:14:07 | shipments | 3 | 148641 | 38 | 37.820 | 3930.2 |
| 476 | 2025-03-13 16:11:52 | shipments | 1 | 81242 | 2 | 8.533 | 9520.9 |
| 475 | 2025-02-28 23:31:48 | shipments | 1 | 81242 | 2 | 4.393 | 18493.5 |
| 474 | 2025-02-25 18:29:16 | shipments | 1 | 81242 | 2 | 6.766 | 12007.4 |
| 473 | 2025-02-22 04:48:44 | shipments | 1 | 81242 | 2 | 6.096 | 13327.1 |
| 472 | 2025-02-18 04:53:27 | shipments | 1 | 81242 | 2 | 3.190 | 25467.7 |
| 471 | 2025-02-07 03:50:50 | shipments | 1 | 81242 | 2 | 10.423 | 7794.5 |
| 470 | 2025-02-04 14:51:59 | shipments | 1 | 81242 | 2 | 9.953 | 8162.6 |
| 469 | 2025-01-19 20:45:02 | shipments | 2 | 121436 | 4 | 14.766 | 8224.0 |
| 468 | 2025-01-19 20:44:21 | shipments | 1 | 81242 | 2 | 5.033 | 16141.9 |
| 467 | 2025-01-15 08:31:07 | shipments | 3 | 148641 | 38 | 35.970 | 4132.4 |
| 466 | 2025-01-15 08:31:02 | shipments | 3 | 148641 | 38 | 35.126 | 4231.7 |
| 465 | 2025-01-15 08:31:08 | shipments | 2 | 121436 | 4 | 23.186 | 5237.5 |
| 464 | 2025-01-15 08:07:46 | shipments | 1 | 81242 | 2 | 2.733 | 29726.3 |
| 463 | 2025-01-06 18:11:55 | shipments | 1 | 81242 | 2 | 4.533 | 17922.3 |
| 462 | 2025-01-05 10:20:14 | shipments | 1 | 81242 | 2 | 1.780 | 45641.6 |
| 461 | 2024-12-23 08:22:59 | shipments | 3 | 148641 | 38 | 33.673 | 4414.2 |
| 460 | 2024-12-18 15:33:03 | shipments | 1 | 81242 | 2 | 9.156 | 8873.1 |
| 459 | 2024-12-01 13:44:12 | shipments | 3 | 148641 | 38 | 26.000 | 5717.0 |
| 458 | 2024-11-29 02:47:03 | shipments | 3 | 148641 | 38 | 32.673 | 4549.4 |
| 457 | 2024-11-28 09:35:02 | shipments | 1 | 81242 | 2 | 8.220 | 9883.5 |
| 456 | 2024-11-27 12:37:49 | shipments | 1 | 81242 | 2 | 5.936 | 13686.3 |
| 455 | 2024-11-18 10:06:08 | shipments | 3 | 148641 | 38 | 48.523 | 3063.3 |
| 454 | 2024-11-18 10:06:11 | shipments | 3 | 148641 | 38 | 40.990 | 3626.3 |
| 453 | 2024-11-18 10:06:08 | shipments | 2 | 121436 | 4 | 25.860 | 4695.9 |
| 452 | 2024-11-18 09:13:32 | shipments | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 451 | 2024-11-13 04:00:58 | shipments | 3 | 148641 | 38 | 36.706 | 4049.5 |
| 450 | 2024-11-05 02:36:56 | shipments | 1 | 81242 | 2 | 7.500 | 10832.3 |
| 449 | 2024-10-27 21:03:17 | shipments | 1 | 81242 | 2 | 2.936 | 27671.0 |
| 448 | 2024-10-25 06:38:21 | shipments | 3 | 148641 | 38 | 38.530 | 3857.8 |
| 447 | 2024-10-23 06:03:01 | shipments | 3 | 148641 | 38 | 27.690 | 5368.0 |
| 446 | 2024-10-23 06:03:01 | shipments | 2 | 121436 | 4 | 17.076 | 7111.5 |
| 445 | 2024-10-23 06:02:41 | shipments | 3 | 148641 | 38 | 34.126 | 4355.7 |
| 444 | 2024-10-23 06:01:23 | shipments | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 443 | 2024-10-16 08:05:37 | shipments | 3 | 148641 | 38 | 34.110 | 4357.7 |
| 442 | 2024-10-16 08:05:40 | shipments | 2 | 121436 | 4 | 22.936 | 5294.6 |
| 441 | 2024-10-16 08:03:46 | shipments | 1 | 81242 | 2 | 7.126 | 11400.8 |
| 440 | 2024-10-05 12:10:24 | shipments | 1 | 81242 | 2 | 11.983 | 6779.8 |
| 439 | 2024-09-13 11:00:10 | shipments | 1 | 81242 | 2 | 13.860 | 5861.6 |
| 438 | 2024-08-14 01:16:22 | shipments | 3 | 148641 | 38 | 35.563 | 4179.7 |