History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subtrend"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 533 | 2025-10-25 21:45:03 | subtrend | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 532 | 2025-10-25 05:16:10 | subtrend | 3 | 146162 | 67 | 12.233 | 11948.2 |
| 531 | 2025-10-19 08:37:10 | subtrend | 1 | 82945 | 3 | 1.546 | 53651.4 |
| 530 | 2025-10-18 04:34:59 | subtrend | 3 | 146162 | 67 | 7.220 | 20244.0 |
| 529 | 2025-10-17 13:20:58 | subtrend | 3 | 146162 | 67 | 7.703 | 18974.7 |
| 528 | 2025-10-17 08:50:19 | subtrend | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 527 | 2025-10-13 14:09:45 | subtrend | 4 | 161609 | 734 | 11.343 | 14247.5 |
| 526 | 2025-10-13 10:20:13 | subtrend | 4 | 161609 | 734 | 11.610 | 13919.8 |
| 525 | 2025-10-12 19:23:14 | subtrend | 4 | 161609 | 734 | 11.576 | 13960.7 |
| 524 | 2025-10-12 12:24:54 | subtrend | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 523 | 2025-10-12 01:17:55 | subtrend | 4 | 161609 | 734 | 11.703 | 13809.2 |
| 522 | 2025-10-11 09:47:43 | subtrend | 1 | 82945 | 3 | 1.373 | 60411.5 |
| 521 | 2025-10-11 02:33:37 | subtrend | 3 | 146162 | 67 | 7.576 | 19292.8 |
| 520 | 2025-10-11 02:20:09 | subtrend | 3 | 146162 | 67 | 7.110 | 20557.2 |
| 519 | 2025-10-10 06:42:22 | subtrend | 4 | 161609 | 734 | 20.296 | 7962.6 |
| 518 | 2025-10-10 01:54:58 | subtrend | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 517 | 2025-10-09 18:20:43 | subtrend | 4 | 161609 | 734 | 12.860 | 12566.8 |
| 516 | 2025-10-08 19:11:18 | subtrend | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 515 | 2025-10-08 14:52:14 | subtrend | 3 | 146162 | 67 | 6.450 | 22660.8 |
| 514 | 2025-10-07 14:36:26 | subtrend | 2 | 121059 | 11 | 3.390 | 35710.6 |
| 513 | 2025-10-07 07:24:40 | subtrend | 1 | 82945 | 3 | 2.326 | 35659.9 |
| 512 | 2025-10-06 19:35:23 | subtrend | 1 | 82945 | 3 | 1.393 | 59544.1 |
| 511 | 2025-10-06 14:16:02 | subtrend | 2 | 121059 | 11 | 3.846 | 31476.6 |
| 510 | 2025-10-06 12:54:08 | subtrend | 4 | 161609 | 734 | 15.750 | 10260.9 |
| 509 | 2025-10-06 07:16:35 | subtrend | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 508 | 2025-10-06 07:05:06 | subtrend | 4 | 161609 | 734 | 13.626 | 11860.3 |
| 507 | 2025-10-06 06:23:09 | subtrend | 3 | 146162 | 67 | 6.923 | 21112.5 |
| 506 | 2025-10-03 09:54:40 | subtrend | 2 | 121059 | 11 | 3.700 | 32718.6 |
| 505 | 2025-09-30 16:12:29 | subtrend | 2 | 121059 | 11 | 3.733 | 32429.4 |
| 504 | 2025-09-30 08:48:28 | subtrend | 3 | 146162 | 67 | 6.923 | 21112.5 |
| 503 | 2025-09-30 08:47:58 | subtrend | 2 | 121059 | 11 | 3.986 | 30371.0 |
| 502 | 2025-09-29 13:37:43 | subtrend | 3 | 146162 | 67 | 8.686 | 16827.3 |
| 501 | 2025-09-29 11:02:03 | subtrend | 2 | 121059 | 11 | 3.936 | 30756.9 |
| 500 | 2025-09-29 06:28:50 | subtrend | 1 | 82945 | 3 | 1.326 | 62552.8 |
| 499 | 2025-09-29 02:53:47 | subtrend | 4 | 161609 | 734 | 12.500 | 12928.7 |
| 498 | 2025-09-29 01:50:29 | subtrend | 2 | 121059 | 11 | 3.266 | 37066.4 |
| 497 | 2025-09-29 01:24:42 | subtrend | 2 | 121059 | 11 | 3.533 | 34265.2 |
| 496 | 2025-09-29 00:13:11 | subtrend | 3 | 146162 | 67 | 6.203 | 23563.1 |
| 495 | 2025-09-28 16:47:41 | subtrend | 1 | 82945 | 3 | 1.326 | 62552.8 |
| 494 | 2025-09-28 04:58:04 | subtrend | 1 | 82945 | 3 | 5.156 | 16087.1 |
| 493 | 2025-09-27 21:23:01 | subtrend | 3 | 146162 | 67 | 7.906 | 18487.5 |
| 492 | 2025-09-27 17:19:46 | subtrend | 3 | 146162 | 67 | 7.393 | 19770.3 |
| 491 | 2025-09-26 08:34:02 | subtrend | 3 | 146162 | 67 | 8.720 | 16761.7 |
| 490 | 2025-09-25 10:45:10 | subtrend | 3 | 146162 | 67 | 33.770 | 4328.2 |
| 489 | 2025-09-25 10:44:53 | subtrend | 3 | 146162 | 67 | 34.876 | 4190.9 |
| 488 | 2025-09-25 10:44:29 | subtrend | 3 | 146162 | 67 | 22.390 | 6528.0 |
| 487 | 2025-09-25 10:44:03 | subtrend | 3 | 146162 | 67 | 40.533 | 3606.0 |
| 486 | 2025-09-24 22:21:21 | subtrend | 1 | 82945 | 3 | 6.656 | 12461.7 |
| 485 | 2025-09-23 19:33:24 | subtrend | 3 | 146162 | 67 | 6.860 | 21306.4 |
| 484 | 2025-09-21 20:43:24 | subtrend | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 483 | 2025-09-20 10:33:17 | subtrend | 4 | 161609 | 734 | 11.436 | 14131.6 |
| 482 | 2025-09-19 15:49:46 | subtrend | 3 | 146162 | 67 | 6.330 | 23090.4 |
| 481 | 2025-09-18 10:25:27 | subtrend | 3 | 146162 | 67 | 9.626 | 15184.1 |
| 480 | 2025-09-17 12:38:33 | subtrend | 3 | 146162 | 67 | 6.610 | 22112.3 |
| 479 | 2025-09-16 08:50:42 | subtrend | 1 | 82945 | 3 | 1.356 | 61168.9 |
| 478 | 2025-09-12 14:15:04 | subtrend | 4 | 161609 | 734 | 13.546 | 11930.4 |
| 477 | 2025-09-12 10:40:36 | subtrend | 4 | 161609 | 734 | 14.876 | 10863.7 |
| 476 | 2025-09-12 05:40:14 | subtrend | 1 | 82945 | 3 | 1.436 | 57761.1 |
| 475 | 2025-09-11 19:28:39 | subtrend | 4 | 161609 | 734 | 20.750 | 7788.4 |
| 474 | 2025-09-11 12:26:26 | subtrend | 1 | 82945 | 3 | 1.580 | 52496.8 |
| 473 | 2025-09-11 00:48:55 | subtrend | 4 | 161609 | 734 | 13.326 | 12127.3 |
| 472 | 2025-09-10 09:43:11 | subtrend | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 471 | 2025-09-10 06:00:36 | subtrend | 4 | 161609 | 734 | 11.533 | 14012.7 |
| 470 | 2025-09-10 01:52:32 | subtrend | 3 | 146162 | 67 | 6.580 | 22213.1 |
| 469 | 2025-09-09 16:32:29 | subtrend | 4 | 161609 | 734 | 12.706 | 12719.1 |
| 468 | 2025-09-09 01:41:41 | subtrend | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 467 | 2025-09-08 05:20:56 | subtrend | 3 | 146162 | 67 | 6.796 | 21507.1 |
| 466 | 2025-09-05 15:16:19 | subtrend | 2 | 121059 | 11 | 3.250 | 37248.9 |
| 465 | 2025-09-05 14:43:34 | subtrend | 2 | 121059 | 11 | 3.406 | 35542.9 |
| 464 | 2025-09-05 13:48:16 | subtrend | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 463 | 2025-09-05 07:05:25 | subtrend | 3 | 146162 | 67 | 7.330 | 19940.2 |
| 462 | 2025-09-05 07:04:17 | subtrend | 4 | 161609 | 734 | 11.670 | 13848.2 |
| 461 | 2025-09-04 16:21:58 | subtrend | 3 | 146162 | 67 | 6.970 | 20970.2 |
| 460 | 2025-09-04 07:07:53 | subtrend | 1 | 82945 | 3 | 1.423 | 58288.8 |
| 459 | 2025-09-03 15:24:17 | subtrend | 4 | 161609 | 734 | 11.000 | 14691.7 |
| 458 | 2025-09-02 01:48:54 | subtrend | 2 | 121059 | 11 | 3.690 | 32807.3 |
| 457 | 2025-08-30 17:56:40 | subtrend | 3 | 146162 | 67 | 6.906 | 21164.5 |
| 456 | 2025-08-29 14:57:31 | subtrend | 3 | 146162 | 67 | 6.950 | 21030.5 |
| 455 | 2025-08-29 14:27:02 | subtrend | 2 | 121059 | 11 | 3.686 | 32842.9 |
| 454 | 2025-08-29 08:38:33 | subtrend | 2 | 121059 | 11 | 3.673 | 32959.2 |
| 453 | 2025-08-29 05:58:04 | subtrend | 1 | 82945 | 3 | 1.360 | 60989.0 |
| 452 | 2025-08-29 02:38:53 | subtrend | 4 | 161609 | 734 | 12.000 | 13467.4 |
| 451 | 2025-08-28 23:57:27 | subtrend | 3 | 146162 | 67 | 6.296 | 23215.1 |
| 450 | 2025-08-28 16:50:47 | subtrend | 3 | 146162 | 67 | 6.626 | 22058.9 |
| 449 | 2025-08-28 10:26:17 | subtrend | 2 | 121059 | 11 | 3.280 | 36908.2 |
| 448 | 2025-08-28 05:08:37 | subtrend | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 447 | 2025-08-28 01:23:44 | subtrend | 2 | 121059 | 11 | 4.220 | 28687.0 |
| 446 | 2025-08-28 01:21:22 | subtrend | 2 | 121059 | 11 | 3.703 | 32692.1 |
| 445 | 2025-08-27 21:17:41 | subtrend | 3 | 146162 | 67 | 7.393 | 19770.3 |
| 444 | 2025-08-23 23:05:47 | subtrend | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 443 | 2025-08-18 13:53:36 | subtrend | 4 | 161609 | 734 | 12.436 | 12995.3 |
| 442 | 2025-08-14 16:34:33 | subtrend | 3 | 146162 | 67 | 6.453 | 22650.2 |
| 441 | 2025-08-13 03:53:48 | subtrend | 1 | 82945 | 3 | 1.450 | 57203.4 |
| 440 | 2025-08-12 23:34:44 | subtrend | 1 | 82945 | 3 | 3.250 | 25521.5 |
| 439 | 2025-08-12 17:10:30 | subtrend | 4 | 161609 | 734 | 28.256 | 5719.5 |
| 438 | 2025-08-12 14:24:54 | subtrend | 4 | 161609 | 734 | 32.313 | 5001.4 |
| 437 | 2025-08-11 15:54:58 | subtrend | 4 | 161609 | 734 | 51.036 | 3166.6 |
| 436 | 2025-08-10 10:30:24 | subtrend | 1 | 82945 | 3 | 3.876 | 21399.6 |
| 435 | 2025-08-10 05:33:31 | subtrend | 3 | 146162 | 67 | 17.966 | 8135.5 |
| 434 | 2025-08-09 17:53:49 | subtrend | 4 | 161609 | 734 | 12.686 | 12739.2 |