History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trained"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 595 | 2026-02-28 02:14:09 | trained | 2 | 107671 | 69 | 15.300 | 7037.3 |
| 594 | 2026-02-14 14:22:37 | trained | 1 | 69583 | 11 | 6.940 | 10026.4 |
| 593 | 2026-02-10 11:47:09 | trained | 1 | 69583 | 11 | 1.283 | 54234.6 |
| 592 | 2026-02-10 11:08:38 | trained | 3 | 134027 | 755 | 7.533 | 17792.0 |
| 591 | 2026-02-10 11:08:23 | trained | 3 | 134027 | 755 | 11.313 | 11847.2 |
| 590 | 2026-02-10 11:08:10 | trained | 3 | 134027 | 755 | 8.156 | 16432.9 |
| 589 | 2026-02-08 07:58:10 | trained | 3 | 134027 | 755 | 13.360 | 10032.0 |
| 588 | 2026-02-07 10:47:47 | trained | 1 | 69583 | 11 | 1.126 | 61796.6 |
| 587 | 2026-02-06 21:57:51 | trained | 1 | 69583 | 11 | 1.236 | 56296.9 |
| 586 | 2026-02-05 11:49:10 | trained | 3 | 134027 | 755 | 6.890 | 19452.4 |
| 585 | 2026-02-02 16:08:22 | trained | 1 | 69583 | 11 | 1.280 | 54361.7 |
| 584 | 2026-02-02 12:01:01 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
| 583 | 2026-02-02 06:02:48 | trained | 1 | 69583 | 11 | 1.106 | 62914.1 |
| 582 | 2026-02-02 05:12:13 | trained | 1 | 69583 | 11 | 1.280 | 54361.7 |
| 581 | 2026-02-02 04:41:21 | trained | 1 | 69583 | 11 | 1.143 | 60877.5 |
| 580 | 2026-01-30 21:51:31 | trained | 3 | 134027 | 755 | 7.360 | 18210.2 |
| 579 | 2026-01-23 11:46:33 | trained | 1 | 69583 | 11 | 1.310 | 53116.8 |
| 578 | 2026-01-22 22:32:01 | trained | 1 | 69583 | 11 | 2.953 | 23563.5 |
| 577 | 2026-01-22 22:28:27 | trained | 1 | 69583 | 11 | 2.126 | 32729.5 |
| 576 | 2026-01-22 22:07:28 | trained | 1 | 69583 | 11 | 1.093 | 63662.4 |
| 575 | 2026-01-22 21:48:06 | trained | 1 | 69583 | 11 | 5.313 | 13096.7 |
| 574 | 2026-01-22 21:43:19 | trained | 1 | 69583 | 11 | 1.233 | 56433.9 |
| 573 | 2026-01-17 01:23:47 | trained | 1 | 69583 | 11 | 1.263 | 55093.4 |
| 572 | 2026-01-16 15:43:18 | trained | 1 | 69583 | 11 | 5.683 | 12244.1 |
| 571 | 2026-01-08 19:39:23 | trained | 1 | 69583 | 11 | 1.296 | 53690.6 |
| 570 | 2026-01-08 19:37:21 | trained | 1 | 69583 | 11 | 1.313 | 52995.4 |
| 569 | 2026-01-03 00:45:53 | trained | 3 | 134027 | 755 | 8.393 | 15968.9 |
| 568 | 2026-01-01 16:54:33 | trained | 1 | 69583 | 11 | 1.110 | 62687.4 |
| 567 | 2026-01-01 16:46:47 | trained | 1 | 69583 | 11 | 1.453 | 47889.2 |
| 566 | 2025-12-28 19:27:39 | trained | 1 | 69583 | 11 | 4.436 | 15686.0 |
| 565 | 2025-12-28 19:25:34 | trained | 1 | 69583 | 11 | 3.000 | 23194.3 |
| 564 | 2025-12-26 11:06:46 | trained | 1 | 69583 | 11 | 1.236 | 56296.9 |
| 563 | 2025-12-21 05:51:08 | trained | 1 | 69583 | 11 | 2.813 | 24736.2 |
| 562 | 2025-12-18 08:46:21 | trained | 1 | 69583 | 11 | 4.923 | 14134.3 |
| 561 | 2025-12-03 00:33:30 | trained | 1 | 69583 | 11 | 2.876 | 24194.4 |
| 560 | 2025-11-28 17:07:01 | trained | 2 | 107671 | 69 | 14.033 | 7672.7 |
| 559 | 2025-11-19 13:11:49 | trained | 1 | 69583 | 11 | 2.190 | 31773.1 |
| 558 | 2025-10-29 22:47:30 | trained | 2 | 107671 | 69 | 3.440 | 31299.7 |
| 557 | 2025-10-26 22:52:58 | trained | 1 | 69583 | 11 | 1.173 | 59320.5 |
| 556 | 2025-10-26 06:07:10 | trained | 3 | 134027 | 755 | 6.173 | 21711.8 |
| 555 | 2025-10-24 15:31:48 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
| 554 | 2025-10-21 14:24:21 | trained | 1 | 69583 | 11 | 1.126 | 61796.6 |
| 553 | 2025-10-07 00:44:09 | trained | 1 | 69583 | 11 | 2.470 | 28171.3 |
| 552 | 2025-09-25 20:55:23 | trained | 3 | 134027 | 755 | 46.143 | 2904.6 |
| 551 | 2025-09-21 10:00:58 | trained | 3 | 134027 | 755 | 6.656 | 20136.3 |
| 550 | 2025-09-19 02:36:45 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
| 549 | 2025-09-13 17:36:43 | trained | 1 | 69583 | 11 | 1.390 | 50059.7 |
| 548 | 2025-09-13 01:22:25 | trained | 2 | 107671 | 69 | 3.310 | 32529.0 |
| 547 | 2025-09-11 08:45:52 | trained | 2 | 107671 | 69 | 3.420 | 31482.7 |
| 546 | 2025-09-10 14:14:00 | trained | 3 | 134027 | 755 | 6.703 | 19995.1 |
| 545 | 2025-08-31 09:03:21 | trained | 3 | 134027 | 755 | 7.453 | 17983.0 |
| 544 | 2025-08-24 23:19:48 | trained | 1 | 69583 | 11 | 8.063 | 8629.9 |
| 543 | 2025-08-15 23:23:30 | trained | 1 | 69583 | 11 | 1.156 | 60192.9 |
| 542 | 2025-08-12 15:45:05 | trained | 1 | 69583 | 11 | 2.326 | 29915.3 |
| 541 | 2025-08-08 05:16:58 | trained | 1 | 69583 | 11 | 4.360 | 15959.4 |
| 540 | 2025-08-06 07:00:24 | trained | 2 | 107671 | 69 | 7.970 | 13509.5 |
| 539 | 2025-08-05 01:41:57 | trained | 2 | 107671 | 69 | 9.376 | 11483.7 |
| 538 | 2025-08-05 01:16:02 | trained | 1 | 69583 | 11 | 3.206 | 21704.0 |
| 537 | 2025-08-04 02:12:10 | trained | 3 | 134027 | 755 | 8.533 | 15706.9 |
| 536 | 2025-08-03 10:02:59 | trained | 3 | 134027 | 755 | 50.003 | 2680.4 |
| 535 | 2025-08-03 10:00:11 | trained | 2 | 107671 | 69 | 12.656 | 8507.5 |
| 534 | 2025-08-01 01:26:25 | trained | 1 | 69583 | 11 | 3.096 | 22475.1 |
| 533 | 2025-07-31 22:00:26 | trained | 3 | 134027 | 755 | 24.406 | 5491.6 |
| 532 | 2025-07-31 07:07:39 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
| 531 | 2025-07-28 14:54:11 | trained | 3 | 134027 | 755 | 18.973 | 7064.1 |
| 530 | 2025-07-27 16:59:11 | trained | 3 | 134027 | 755 | 18.563 | 7220.1 |
| 529 | 2025-07-25 03:06:05 | trained | 1 | 69583 | 11 | 5.456 | 12753.5 |
| 528 | 2025-07-25 01:25:17 | trained | 1 | 69583 | 11 | 3.373 | 20629.4 |
| 527 | 2025-07-24 09:32:12 | trained | 3 | 134027 | 755 | 22.500 | 5956.8 |
| 526 | 2025-07-24 08:54:06 | trained | 3 | 134027 | 755 | 19.186 | 6985.7 |
| 525 | 2025-07-24 01:45:56 | trained | 1 | 69583 | 11 | 5.593 | 12441.1 |
| 524 | 2025-07-24 00:45:31 | trained | 1 | 69583 | 11 | 6.123 | 11364.2 |
| 523 | 2025-07-23 12:15:27 | trained | 1 | 69583 | 11 | 4.296 | 16197.2 |
| 522 | 2025-07-22 02:22:59 | trained | 3 | 134027 | 755 | 12.220 | 10967.8 |
| 521 | 2025-07-20 19:52:10 | trained | 3 | 134027 | 755 | 6.360 | 21073.4 |
| 520 | 2025-07-17 20:45:57 | trained | 2 | 107671 | 69 | 23.050 | 4671.2 |
| 519 | 2025-07-16 22:42:02 | trained | 1 | 69583 | 11 | 3.046 | 22844.1 |
| 518 | 2025-07-14 07:07:39 | trained | 2 | 107671 | 69 | 21.953 | 4904.6 |
| 517 | 2025-07-13 14:32:44 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
| 516 | 2025-07-13 08:53:40 | trained | 3 | 134027 | 755 | 7.593 | 17651.4 |
| 515 | 2025-07-11 03:30:53 | trained | 3 | 134027 | 755 | 41.093 | 3261.6 |
| 514 | 2025-07-10 02:53:47 | trained | 1 | 69583 | 11 | 8.203 | 8482.6 |
| 513 | 2025-07-08 16:04:15 | trained | 1 | 69583 | 11 | 5.843 | 11908.8 |
| 512 | 2025-07-06 19:41:05 | trained | 1 | 69583 | 11 | 1.283 | 54234.6 |
| 511 | 2025-07-05 10:10:36 | trained | 3 | 134027 | 755 | 38.973 | 3439.0 |
| 510 | 2025-07-05 04:59:32 | trained | 3 | 134027 | 755 | 39.906 | 3358.6 |
| 509 | 2025-07-04 01:24:49 | trained | 1 | 69583 | 11 | 5.826 | 11943.5 |
| 508 | 2025-07-03 21:41:46 | trained | 3 | 134027 | 755 | 6.750 | 19855.9 |
| 507 | 2025-07-02 03:10:55 | trained | 1 | 69583 | 11 | 4.280 | 16257.7 |
| 506 | 2025-07-01 20:25:18 | trained | 3 | 134027 | 755 | 35.063 | 3822.5 |
| 505 | 2025-06-29 23:41:41 | trained | 3 | 134027 | 755 | 49.126 | 2728.2 |
| 504 | 2025-06-29 11:38:37 | trained | 3 | 134027 | 755 | 7.716 | 17370.0 |
| 503 | 2025-06-28 20:42:36 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
| 502 | 2025-06-23 13:55:58 | trained | 3 | 134027 | 755 | 19.253 | 6961.4 |
| 501 | 2025-06-22 00:43:33 | trained | 1 | 69583 | 11 | 9.016 | 7717.7 |
| 500 | 2025-06-13 02:24:42 | trained | 3 | 134027 | 755 | 10.750 | 12467.6 |
| 499 | 2025-06-12 16:35:26 | trained | 2 | 107671 | 69 | 16.816 | 6402.9 |
| 498 | 2025-06-12 13:35:17 | trained | 1 | 69583 | 11 | 5.843 | 11908.8 |
| 497 | 2025-06-12 00:03:05 | trained | 2 | 107671 | 69 | 17.003 | 6332.5 |
| 496 | 2025-06-11 04:06:14 | trained | 3 | 134027 | 755 | 41.923 | 3197.0 |