History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precoded"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 588 | 2026-01-12 21:06:30 | precoded | 3 | 146162 | 216 | 19.580 | 7464.9 |
| 587 | 2026-01-12 08:09:27 | precoded | 3 | 146162 | 216 | 8.436 | 17326.0 |
| 586 | 2026-01-12 04:34:03 | precoded | 1 | 82945 | 5 | 3.110 | 26670.4 |
| 585 | 2026-01-12 02:16:53 | precoded | 3 | 146162 | 216 | 7.436 | 19656.0 |
| 584 | 2026-01-11 11:21:50 | precoded | 2 | 121059 | 24 | 3.640 | 33258.0 |
| 583 | 2026-01-10 23:14:35 | precoded | 2 | 121059 | 24 | 3.593 | 33693.0 |
| 582 | 2026-01-10 21:13:23 | precoded | 1 | 82945 | 5 | 5.703 | 14544.1 |
| 581 | 2026-01-10 21:11:22 | precoded | 1 | 82945 | 5 | 2.970 | 27927.6 |
| 580 | 2026-01-10 14:43:26 | precoded | 3 | 146162 | 216 | 7.813 | 18707.5 |
| 579 | 2026-01-10 00:00:10 | precoded | 3 | 146162 | 216 | 12.923 | 11310.2 |
| 578 | 2026-01-09 10:55:06 | precoded | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 577 | 2026-01-09 04:03:36 | precoded | 2 | 121059 | 24 | 3.796 | 31891.2 |
| 576 | 2026-01-08 08:17:08 | precoded | 3 | 146162 | 216 | 8.516 | 17163.2 |
| 575 | 2026-01-07 12:55:00 | precoded | 1 | 82945 | 5 | 1.420 | 58412.0 |
| 574 | 2026-01-07 06:42:14 | precoded | 1 | 82945 | 5 | 1.576 | 52630.1 |
| 573 | 2026-01-06 19:12:23 | precoded | 2 | 121059 | 24 | 4.343 | 27874.5 |
| 572 | 2026-01-06 19:11:57 | precoded | 3 | 146162 | 216 | 12.233 | 11948.2 |
| 571 | 2026-01-05 02:41:10 | precoded | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 570 | 2026-01-01 23:08:31 | precoded | 1 | 82945 | 5 | 3.893 | 21306.2 |
| 569 | 2026-01-01 22:38:07 | precoded | 1 | 82945 | 5 | 3.173 | 26140.9 |
| 568 | 2026-01-01 22:36:05 | precoded | 1 | 82945 | 5 | 1.560 | 53169.9 |
| 567 | 2026-01-01 05:33:37 | precoded | 1 | 82945 | 5 | 4.750 | 17462.1 |
| 566 | 2025-12-29 09:24:21 | precoded | 3 | 146162 | 216 | 31.533 | 4635.2 |
| 565 | 2025-12-29 09:24:16 | precoded | 3 | 146162 | 216 | 26.020 | 5617.3 |
| 564 | 2025-12-28 04:37:52 | precoded | 3 | 146162 | 216 | 7.983 | 18309.2 |
| 563 | 2025-12-23 00:33:18 | precoded | 3 | 146162 | 216 | 23.656 | 6178.6 |
| 562 | 2025-12-21 01:55:10 | precoded | 2 | 121059 | 24 | 3.766 | 32145.2 |
| 561 | 2025-12-20 10:44:09 | precoded | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 560 | 2025-12-19 21:23:46 | precoded | 3 | 146162 | 216 | 26.750 | 5464.0 |
| 559 | 2025-12-15 06:33:17 | precoded | 1 | 82945 | 5 | 1.436 | 57761.1 |
| 558 | 2025-12-12 20:06:52 | precoded | 1 | 82945 | 5 | 1.456 | 56967.7 |
| 557 | 2025-12-12 08:53:04 | precoded | 3 | 146162 | 216 | 14.063 | 10393.4 |
| 556 | 2025-12-12 06:31:39 | precoded | 3 | 146162 | 216 | 38.080 | 3838.3 |
| 555 | 2025-12-09 22:06:06 | precoded | 3 | 146162 | 216 | 7.733 | 18901.1 |
| 554 | 2025-12-07 23:12:27 | precoded | 3 | 146162 | 216 | 6.686 | 21860.9 |
| 553 | 2025-11-22 12:20:05 | precoded | 3 | 146162 | 216 | 10.030 | 14572.5 |
| 552 | 2025-11-22 00:33:18 | precoded | 1 | 82945 | 5 | 1.513 | 54821.5 |
| 551 | 2025-11-21 22:12:33 | precoded | 3 | 146162 | 216 | 8.126 | 17987.0 |
| 550 | 2025-11-21 09:14:07 | precoded | 3 | 146162 | 216 | 8.780 | 16647.2 |
| 549 | 2025-11-20 23:00:14 | precoded | 2 | 121059 | 24 | 15.940 | 7594.7 |
| 548 | 2025-11-20 18:46:12 | precoded | 3 | 146162 | 216 | 7.343 | 19904.9 |
| 547 | 2025-11-20 17:11:22 | precoded | 1 | 82945 | 5 | 1.533 | 54106.3 |
| 546 | 2025-11-19 08:49:10 | precoded | 2 | 121059 | 24 | 3.906 | 30993.1 |
| 545 | 2025-11-19 07:36:03 | precoded | 1 | 82945 | 5 | 1.360 | 60989.0 |
| 544 | 2025-11-19 00:26:20 | precoded | 2 | 121059 | 24 | 4.030 | 30039.5 |
| 543 | 2025-11-18 04:44:18 | precoded | 2 | 121059 | 24 | 3.826 | 31641.1 |
| 542 | 2025-11-16 17:42:49 | precoded | 2 | 121059 | 24 | 13.253 | 9134.5 |
| 541 | 2025-11-15 07:06:22 | precoded | 1 | 82945 | 5 | 3.890 | 21322.6 |
| 540 | 2025-10-23 06:02:26 | precoded | 1 | 82945 | 5 | 7.173 | 11563.5 |
| 539 | 2025-10-18 23:07:41 | precoded | 3 | 146162 | 216 | 13.096 | 11160.8 |
| 538 | 2025-10-17 13:01:35 | precoded | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 537 | 2025-10-11 00:57:21 | precoded | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 536 | 2025-10-07 00:09:41 | precoded | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 535 | 2025-10-03 02:08:53 | precoded | 1 | 82945 | 5 | 3.080 | 26930.2 |
| 534 | 2025-09-28 05:45:18 | precoded | 3 | 146162 | 216 | 7.233 | 20207.7 |
| 533 | 2025-09-27 20:35:59 | precoded | 2 | 121059 | 24 | 3.813 | 31749.0 |
| 532 | 2025-09-27 17:17:30 | precoded | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 531 | 2025-09-26 11:10:55 | precoded | 3 | 146162 | 216 | 6.593 | 22169.3 |
| 530 | 2025-09-25 19:34:27 | precoded | 3 | 146162 | 216 | 40.143 | 3641.0 |
| 529 | 2025-09-25 19:34:19 | precoded | 3 | 146162 | 216 | 38.516 | 3794.8 |
| 528 | 2025-09-25 19:34:29 | precoded | 2 | 121059 | 24 | 22.640 | 5347.1 |
| 527 | 2025-09-25 19:33:54 | precoded | 3 | 146162 | 216 | 45.126 | 3239.0 |
| 526 | 2025-09-25 19:34:08 | precoded | 3 | 146162 | 216 | 31.250 | 4677.2 |
| 525 | 2025-09-25 19:34:18 | precoded | 2 | 121059 | 24 | 18.373 | 6589.0 |
| 524 | 2025-09-25 19:34:08 | precoded | 2 | 121059 | 24 | 18.750 | 6456.5 |
| 523 | 2025-09-25 19:33:54 | precoded | 2 | 121059 | 24 | 20.216 | 5988.3 |
| 522 | 2025-09-25 18:14:02 | precoded | 1 | 82945 | 5 | 2.203 | 37650.9 |
| 521 | 2025-09-17 14:11:37 | precoded | 3 | 146162 | 216 | 7.966 | 18348.2 |
| 520 | 2025-09-15 11:42:45 | precoded | 2 | 121059 | 24 | 3.826 | 31641.1 |
| 519 | 2025-09-10 21:54:44 | precoded | 3 | 146162 | 216 | 7.050 | 20732.2 |
| 518 | 2025-09-08 03:00:48 | precoded | 1 | 82945 | 5 | 3.266 | 25396.5 |
| 517 | 2025-09-04 10:24:12 | precoded | 3 | 146162 | 216 | 6.596 | 22159.2 |
| 516 | 2025-09-01 17:27:19 | precoded | 2 | 121059 | 24 | 3.890 | 31120.6 |
| 515 | 2025-09-01 09:10:43 | precoded | 3 | 146162 | 216 | 7.736 | 18893.7 |
| 514 | 2025-09-01 03:56:00 | precoded | 1 | 82945 | 5 | 1.346 | 61623.3 |
| 513 | 2025-08-27 04:26:12 | precoded | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 512 | 2025-08-26 19:51:40 | precoded | 1 | 82945 | 5 | 1.346 | 61623.3 |
| 511 | 2025-08-25 15:06:58 | precoded | 1 | 82945 | 5 | 4.266 | 19443.3 |
| 510 | 2025-08-24 23:13:22 | precoded | 1 | 82945 | 5 | 5.703 | 14544.1 |
| 509 | 2025-08-23 08:15:51 | precoded | 1 | 82945 | 5 | 7.236 | 11462.8 |
| 508 | 2025-08-23 01:12:18 | precoded | 1 | 82945 | 5 | 10.000 | 8294.5 |
| 507 | 2025-08-15 10:15:19 | precoded | 2 | 121059 | 24 | 12.986 | 9322.3 |
| 506 | 2025-08-13 13:45:47 | precoded | 2 | 121059 | 24 | 9.733 | 12438.0 |
| 505 | 2025-08-08 11:57:58 | precoded | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 504 | 2025-08-05 10:28:56 | precoded | 2 | 121059 | 24 | 9.596 | 12615.6 |
| 503 | 2025-08-05 10:26:10 | precoded | 3 | 146162 | 216 | 29.893 | 4889.5 |
| 502 | 2025-08-04 04:16:59 | precoded | 1 | 82945 | 5 | 7.766 | 10680.5 |
| 501 | 2025-08-01 08:56:04 | precoded | 1 | 82945 | 5 | 5.970 | 13893.6 |
| 500 | 2025-07-28 12:22:22 | precoded | 2 | 121059 | 24 | 9.643 | 12554.1 |
| 499 | 2025-07-27 02:56:00 | precoded | 2 | 121059 | 24 | 10.326 | 11723.7 |
| 498 | 2025-07-27 02:28:10 | precoded | 3 | 146162 | 216 | 28.953 | 5048.3 |
| 497 | 2025-07-26 04:30:12 | precoded | 1 | 82945 | 5 | 2.843 | 29175.2 |
| 496 | 2025-07-26 00:55:35 | precoded | 1 | 82945 | 5 | 5.530 | 14999.1 |
| 495 | 2025-07-25 00:21:49 | precoded | 1 | 82945 | 5 | 4.546 | 18245.7 |
| 494 | 2025-07-25 00:07:48 | precoded | 2 | 121059 | 24 | 20.720 | 5842.6 |
| 493 | 2025-07-23 01:13:04 | precoded | 1 | 82945 | 5 | 4.016 | 20653.6 |
| 492 | 2025-07-22 08:45:41 | precoded | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 491 | 2025-07-16 22:02:38 | precoded | 3 | 146162 | 216 | 21.423 | 6822.7 |
| 490 | 2025-07-15 23:12:54 | precoded | 1 | 82945 | 5 | 1.436 | 57761.1 |
| 489 | 2025-07-12 10:41:29 | precoded | 1 | 82945 | 5 | 1.486 | 55817.6 |