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 |
| 586 | 2026-02-26 12:29:14 | shipments | 3 | 148641 | 38 | 6.563 | 22648.3 |
| 585 | 2026-02-26 00:29:08 | shipments | 3 | 148641 | 38 | 7.110 | 20905.9 |
| 584 | 2026-02-19 17:13:32 | shipments | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 583 | 2026-02-15 11:56:20 | shipments | 3 | 148641 | 38 | 24.826 | 5987.3 |
| 582 | 2026-02-15 04:43:26 | shipments | 3 | 148641 | 38 | 21.783 | 6823.7 |
| 581 | 2026-02-15 04:43:07 | shipments | 3 | 148641 | 38 | 17.330 | 8577.1 |
| 580 | 2026-02-12 06:48:06 | shipments | 2 | 121436 | 4 | 3.500 | 34696.0 |
| 579 | 2026-02-09 04:20:13 | shipments | 3 | 148641 | 38 | 9.266 | 16041.5 |
| 578 | 2026-02-09 03:24:55 | shipments | 2 | 121436 | 4 | 4.110 | 29546.5 |
| 577 | 2026-02-08 12:10:44 | shipments | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 576 | 2026-02-05 13:45:50 | shipments | 4 | 165329 | 380 | 12.156 | 13600.6 |
| 575 | 2026-02-05 09:48:31 | shipments | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 574 | 2026-02-03 00:10:23 | shipments | 4 | 165329 | 380 | 44.956 | 3677.6 |
| 573 | 2026-02-02 06:20:46 | shipments | 4 | 165329 | 380 | 15.203 | 10874.8 |
| 572 | 2026-02-02 03:58:10 | shipments | 4 | 165329 | 380 | 12.360 | 13376.1 |
| 571 | 2026-01-31 18:18:00 | shipments | 4 | 165329 | 380 | 11.516 | 14356.5 |
| 570 | 2026-01-30 20:03:07 | shipments | 4 | 165329 | 380 | 12.533 | 13191.5 |
| 569 | 2026-01-30 16:53:57 | shipments | 4 | 165329 | 380 | 11.326 | 14597.3 |
| 568 | 2026-01-30 13:11:11 | shipments | 4 | 165329 | 380 | 12.156 | 13600.6 |
| 567 | 2026-01-30 10:27:37 | shipments | 4 | 165329 | 380 | 12.373 | 13362.1 |
| 566 | 2026-01-30 05:08:48 | shipments | 4 | 165329 | 380 | 11.660 | 14179.2 |
| 565 | 2026-01-30 02:29:39 | shipments | 4 | 165329 | 380 | 12.546 | 13177.8 |
| 564 | 2026-01-29 23:09:52 | shipments | 4 | 165329 | 380 | 10.550 | 15671.0 |
| 563 | 2026-01-29 12:41:13 | shipments | 4 | 165329 | 380 | 12.843 | 12873.1 |
| 562 | 2026-01-29 10:28:13 | shipments | 4 | 165329 | 380 | 19.890 | 8312.2 |
| 561 | 2026-01-26 18:32:49 | shipments | 1 | 81242 | 2 | 1.513 | 53696.0 |
| 560 | 2026-01-26 08:23:38 | shipments | 4 | 165329 | 380 | 14.016 | 11795.7 |
| 559 | 2026-01-26 03:38:45 | shipments | 2 | 121436 | 4 | 5.690 | 21342.0 |
| 558 | 2026-01-25 22:10:49 | shipments | 3 | 148641 | 38 | 20.876 | 7120.2 |
| 557 | 2026-01-25 11:11:40 | shipments | 4 | 165329 | 380 | 12.126 | 13634.3 |
| 556 | 2026-01-23 09:51:42 | shipments | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 555 | 2026-01-05 05:00:32 | shipments | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 554 | 2025-12-28 22:22:23 | shipments | 1 | 81242 | 2 | 2.420 | 33571.1 |
| 553 | 2025-12-28 22:21:07 | shipments | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 552 | 2025-12-27 23:25:07 | shipments | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 551 | 2025-12-27 18:20:44 | shipments | 1 | 81242 | 2 | 1.356 | 59913.0 |
| 550 | 2025-12-01 13:31:02 | shipments | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 549 | 2025-11-30 04:16:33 | shipments | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 548 | 2025-11-28 02:51:38 | shipments | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 547 | 2025-11-28 02:37:02 | shipments | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 546 | 2025-11-23 00:25:52 | shipments | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 545 | 2025-11-18 16:38:08 | shipments | 1 | 81242 | 2 | 1.456 | 55798.1 |
| 544 | 2025-11-14 08:30:32 | shipments | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 543 | 2025-11-13 11:03:13 | shipments | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 542 | 2025-11-11 19:53:48 | shipments | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 541 | 2025-10-31 14:36:57 | shipments | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 540 | 2025-10-30 04:56:44 | shipments | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 539 | 2025-10-27 18:58:12 | shipments | 2 | 121436 | 4 | 7.500 | 16191.5 |
| 538 | 2025-10-27 07:31:15 | shipments | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 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 |