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 |
| 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 |
| 495 | 2025-06-11 00:51:41 | trained | 3 | 134027 | 755 | 7.703 | 17399.3 |
| 494 | 2025-06-10 23:31:18 | trained | 1 | 69583 | 11 | 4.546 | 15306.4 |
| 493 | 2025-06-10 21:14:06 | trained | 3 | 134027 | 755 | 7.266 | 18445.8 |
| 492 | 2025-06-10 14:00:12 | trained | 1 | 69583 | 11 | 5.470 | 12720.8 |
| 491 | 2025-06-09 18:06:32 | trained | 3 | 134027 | 755 | 5.983 | 22401.3 |
| 490 | 2025-06-04 00:07:38 | trained | 1 | 69583 | 11 | 4.500 | 15462.9 |
| 489 | 2025-06-02 02:39:35 | trained | 1 | 69583 | 11 | 2.796 | 24886.6 |
| 488 | 2025-06-01 08:44:55 | trained | 1 | 69583 | 11 | 5.313 | 13096.7 |
| 487 | 2025-06-01 02:07:52 | trained | 1 | 69583 | 11 | 5.780 | 12038.6 |
| 486 | 2025-05-31 19:26:30 | trained | 1 | 69583 | 11 | 5.966 | 11663.3 |
| 485 | 2025-05-30 08:23:24 | trained | 3 | 134027 | 755 | 41.346 | 3241.6 |
| 484 | 2025-05-30 00:38:47 | trained | 3 | 134027 | 755 | 11.123 | 12049.5 |
| 483 | 2025-05-28 05:11:03 | trained | 3 | 134027 | 755 | 6.530 | 20524.8 |
| 482 | 2025-05-26 23:27:09 | trained | 3 | 134027 | 755 | 18.923 | 7082.8 |
| 481 | 2025-05-25 16:08:04 | trained | 3 | 134027 | 755 | 6.280 | 21341.9 |
| 480 | 2025-05-22 21:40:57 | trained | 2 | 107671 | 69 | 3.390 | 31761.4 |
| 479 | 2025-05-21 00:28:27 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
| 478 | 2025-05-12 16:26:42 | trained | 2 | 107671 | 69 | 13.470 | 7993.4 |
| 477 | 2025-05-10 23:33:58 | trained | 1 | 69583 | 11 | 3.030 | 22964.7 |
| 476 | 2025-05-10 16:14:49 | trained | 1 | 69583 | 11 | 7.376 | 9433.7 |
| 475 | 2025-05-10 05:03:05 | trained | 1 | 69583 | 11 | 4.093 | 17000.5 |
| 474 | 2025-05-09 21:40:32 | trained | 3 | 134027 | 755 | 34.113 | 3928.9 |
| 473 | 2025-05-09 01:01:45 | trained | 3 | 134027 | 755 | 11.016 | 12166.6 |
| 472 | 2025-05-06 03:21:17 | trained | 1 | 69583 | 11 | 7.530 | 9240.8 |
| 471 | 2025-05-04 23:33:19 | trained | 1 | 69583 | 11 | 1.300 | 53525.4 |
| 470 | 2025-05-04 00:09:38 | trained | 1 | 69583 | 11 | 5.766 | 12067.8 |
| 469 | 2025-05-02 02:36:24 | trained | 1 | 69583 | 11 | 6.970 | 9983.2 |
| 468 | 2025-04-26 09:07:34 | trained | 3 | 134027 | 755 | 52.940 | 2531.7 |
| 467 | 2025-04-25 23:24:46 | trained | 3 | 134027 | 755 | 32.266 | 4153.8 |
| 466 | 2025-04-25 17:42:28 | trained | 3 | 134027 | 755 | 7.266 | 18445.8 |
| 465 | 2025-04-25 13:11:42 | trained | 2 | 107671 | 69 | 3.516 | 30623.2 |
| 464 | 2025-04-25 08:28:55 | trained | 3 | 134027 | 755 | 32.390 | 4137.9 |
| 463 | 2025-04-23 20:57:21 | trained | 1 | 69583 | 11 | 6.970 | 9983.2 |
| 462 | 2025-04-23 04:15:02 | trained | 1 | 69583 | 11 | 7.876 | 8834.8 |
| 461 | 2025-04-20 00:14:29 | trained | 1 | 69583 | 11 | 8.080 | 8611.8 |
| 460 | 2025-04-11 17:22:11 | trained | 2 | 107671 | 69 | 19.406 | 5548.3 |
| 459 | 2025-04-08 23:47:07 | trained | 2 | 107671 | 69 | 13.190 | 8163.1 |
| 458 | 2025-04-08 23:24:09 | trained | 1 | 69583 | 11 | 3.750 | 18555.5 |
| 457 | 2025-04-07 21:21:26 | trained | 2 | 107671 | 69 | 25.376 | 4243.0 |
| 456 | 2025-04-03 23:36:01 | trained | 1 | 69583 | 11 | 4.156 | 16742.8 |