History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"examples"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 538 | 2025-11-07 07:57:54 | examples | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 537 | 2025-11-05 11:33:15 | examples | 3 | 146162 | 89 | 7.186 | 20339.8 |
| 536 | 2025-11-01 15:35:13 | examples | 3 | 146162 | 89 | 6.890 | 21213.6 |
| 535 | 2025-10-28 21:12:24 | examples | 3 | 146162 | 89 | 6.843 | 21359.3 |
| 534 | 2025-10-27 18:24:11 | examples | 2 | 121059 | 9 | 3.156 | 38358.4 |
| 533 | 2025-10-26 16:59:30 | examples | 4 | 161609 | 910 | 14.236 | 11352.1 |
| 532 | 2025-10-26 16:35:11 | examples | 2 | 121059 | 9 | 3.670 | 32986.1 |
| 531 | 2025-10-26 16:14:01 | examples | 4 | 161609 | 910 | 13.110 | 12327.2 |
| 530 | 2025-10-26 08:19:58 | examples | 3 | 146162 | 89 | 14.000 | 10440.1 |
| 529 | 2025-10-26 01:36:11 | examples | 3 | 146162 | 89 | 6.250 | 23385.9 |
| 528 | 2025-10-25 18:47:44 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
| 527 | 2025-10-24 07:11:18 | examples | 1 | 82945 | 3 | 1.420 | 58412.0 |
| 526 | 2025-10-22 00:57:27 | examples | 3 | 146162 | 89 | 32.360 | 4516.7 |
| 525 | 2025-10-22 00:57:29 | examples | 2 | 121059 | 9 | 14.983 | 8079.8 |
| 524 | 2025-10-22 00:57:01 | examples | 3 | 146162 | 89 | 35.940 | 4066.8 |
| 523 | 2025-10-22 00:57:11 | examples | 3 | 146162 | 89 | 20.156 | 7251.5 |
| 522 | 2025-10-22 00:57:13 | examples | 2 | 121059 | 9 | 18.046 | 6708.4 |
| 521 | 2025-10-22 00:57:03 | examples | 2 | 121059 | 9 | 19.846 | 6099.9 |
| 520 | 2025-10-22 00:56:42 | examples | 3 | 146162 | 89 | 33.970 | 4302.7 |
| 519 | 2025-10-22 00:56:40 | examples | 2 | 121059 | 9 | 10.030 | 12069.7 |
| 518 | 2025-10-22 00:50:03 | examples | 1 | 82945 | 3 | 4.126 | 20103.0 |
| 517 | 2025-10-21 22:49:40 | examples | 1 | 82945 | 3 | 1.283 | 64649.3 |
| 516 | 2025-10-21 02:04:02 | examples | 4 | 161609 | 910 | 53.703 | 3009.3 |
| 515 | 2025-10-04 07:53:32 | examples | 3 | 146162 | 89 | 7.703 | 18974.7 |
| 514 | 2025-09-26 12:15:17 | examples | 1 | 82945 | 3 | 1.360 | 60989.0 |
| 513 | 2025-09-19 14:17:07 | examples | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 512 | 2025-09-16 21:49:51 | examples | 3 | 146162 | 89 | 8.296 | 17618.4 |
| 511 | 2025-09-16 10:54:06 | examples | 3 | 146162 | 89 | 8.016 | 18233.8 |
| 510 | 2025-09-16 06:56:39 | examples | 4 | 161609 | 910 | 12.360 | 13075.2 |
| 509 | 2025-09-15 16:29:13 | examples | 3 | 146162 | 89 | 6.250 | 23385.9 |
| 508 | 2025-09-14 23:55:26 | examples | 1 | 82945 | 3 | 1.486 | 55817.6 |
| 507 | 2025-09-10 05:06:05 | examples | 4 | 161609 | 910 | 12.093 | 13363.8 |
| 506 | 2025-09-07 05:28:53 | examples | 3 | 146162 | 89 | 6.690 | 21847.8 |
| 505 | 2025-09-06 23:40:59 | examples | 4 | 161609 | 910 | 11.890 | 13592.0 |
| 504 | 2025-09-05 22:19:12 | examples | 2 | 121059 | 9 | 3.640 | 33258.0 |
| 503 | 2025-09-05 17:18:07 | examples | 1 | 82945 | 3 | 1.283 | 64649.3 |
| 502 | 2025-08-25 12:39:42 | examples | 1 | 82945 | 3 | 5.346 | 15515.3 |
| 501 | 2025-08-25 04:40:35 | examples | 1 | 82945 | 3 | 6.906 | 12010.6 |
| 500 | 2025-08-17 10:08:10 | examples | 1 | 82945 | 3 | 2.826 | 29350.7 |
| 499 | 2025-08-17 05:37:56 | examples | 3 | 146162 | 89 | 16.610 | 8799.6 |
| 498 | 2025-08-17 01:38:11 | examples | 1 | 82945 | 3 | 2.580 | 32149.2 |
| 497 | 2025-08-14 13:36:53 | examples | 3 | 146162 | 89 | 6.500 | 22486.5 |
| 496 | 2025-08-11 08:59:44 | examples | 3 | 146162 | 89 | 54.366 | 2688.5 |
| 495 | 2025-08-10 04:45:37 | examples | 1 | 82945 | 3 | 5.970 | 13893.6 |
| 494 | 2025-08-10 04:04:31 | examples | 1 | 82945 | 3 | 4.110 | 20181.3 |
| 493 | 2025-08-10 03:44:57 | examples | 1 | 82945 | 3 | 3.093 | 26817.0 |
| 492 | 2025-08-02 00:15:33 | examples | 1 | 82945 | 3 | 3.393 | 24445.9 |
| 491 | 2025-08-01 21:00:42 | examples | 4 | 161609 | 910 | 58.600 | 2757.8 |
| 490 | 2025-07-31 09:42:07 | examples | 1 | 82945 | 3 | 1.390 | 59672.7 |
| 489 | 2025-07-31 03:43:08 | examples | 4 | 161609 | 910 | 11.280 | 14327.0 |
| 488 | 2025-07-27 09:36:03 | examples | 4 | 161609 | 910 | 54.906 | 2943.4 |
| 487 | 2025-07-27 00:23:41 | examples | 3 | 146162 | 89 | 17.923 | 8155.0 |
| 486 | 2025-07-26 22:07:35 | examples | 3 | 146162 | 89 | 46.843 | 3120.3 |
| 485 | 2025-07-26 22:05:40 | examples | 2 | 121059 | 9 | 17.626 | 6868.2 |
| 484 | 2025-07-25 05:42:29 | examples | 1 | 82945 | 3 | 3.486 | 23793.7 |
| 483 | 2025-07-23 05:14:44 | examples | 4 | 161609 | 910 | 53.143 | 3041.0 |
| 482 | 2025-07-22 20:55:08 | examples | 1 | 82945 | 3 | 3.123 | 26559.4 |
| 481 | 2025-07-22 01:04:37 | examples | 3 | 146162 | 89 | 8.110 | 18022.4 |
| 480 | 2025-07-21 19:45:50 | examples | 2 | 121059 | 9 | 3.280 | 36908.2 |
| 479 | 2025-07-20 07:09:37 | examples | 3 | 146162 | 89 | 7.093 | 20606.5 |
| 478 | 2025-07-19 02:14:38 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 477 | 2025-07-17 22:17:55 | examples | 4 | 161609 | 910 | 72.146 | 2240.0 |
| 476 | 2025-07-17 14:26:39 | examples | 1 | 82945 | 3 | 6.483 | 12794.2 |
| 475 | 2025-07-15 09:41:02 | examples | 1 | 82945 | 3 | 7.283 | 11388.9 |
| 474 | 2025-07-14 08:13:26 | examples | 4 | 161609 | 910 | 58.160 | 2778.7 |
| 473 | 2025-07-13 05:44:49 | examples | 4 | 161609 | 910 | 11.766 | 13735.3 |
| 472 | 2025-07-12 20:46:54 | examples | 4 | 161609 | 910 | 17.093 | 9454.7 |
| 471 | 2025-07-12 14:07:21 | examples | 4 | 161609 | 910 | 16.690 | 9683.0 |
| 470 | 2025-07-10 17:27:54 | examples | 4 | 161609 | 910 | 49.333 | 3275.9 |
| 469 | 2025-07-09 21:44:19 | examples | 2 | 121059 | 9 | 15.330 | 7896.9 |
| 468 | 2025-07-09 09:40:43 | examples | 1 | 82945 | 3 | 9.173 | 9042.3 |
| 467 | 2025-06-28 05:45:14 | examples | 1 | 82945 | 3 | 10.080 | 8228.7 |
| 466 | 2025-06-27 06:09:24 | examples | 1 | 82945 | 3 | 3.923 | 21143.3 |
| 465 | 2025-06-24 05:51:57 | examples | 1 | 82945 | 3 | 4.830 | 17172.9 |
| 464 | 2025-06-21 00:29:40 | examples | 3 | 146162 | 89 | 27.906 | 5237.7 |
| 463 | 2025-06-20 17:38:19 | examples | 3 | 146162 | 89 | 23.686 | 6170.8 |
| 462 | 2025-06-18 13:06:26 | examples | 1 | 82945 | 3 | 6.920 | 11986.3 |
| 461 | 2025-06-18 00:07:37 | examples | 3 | 146162 | 89 | 50.973 | 2867.4 |
| 460 | 2025-06-18 00:05:03 | examples | 3 | 146162 | 89 | 23.610 | 6190.7 |
| 459 | 2025-06-16 20:49:12 | examples | 1 | 82945 | 3 | 7.280 | 11393.5 |
| 458 | 2025-06-16 05:48:23 | examples | 1 | 82945 | 3 | 6.486 | 12788.3 |
| 457 | 2025-06-16 00:00:02 | examples | 3 | 146162 | 89 | 28.720 | 5089.2 |
| 456 | 2025-06-15 20:06:25 | examples | 3 | 146162 | 89 | 36.066 | 4052.6 |
| 455 | 2025-06-15 10:34:10 | examples | 1 | 82945 | 3 | 1.310 | 63316.8 |
| 454 | 2025-06-14 10:18:42 | examples | 1 | 82945 | 3 | 2.783 | 29804.2 |
| 453 | 2025-05-29 12:31:24 | examples | 1 | 82945 | 3 | 3.830 | 21656.7 |
| 452 | 2025-05-28 16:34:18 | examples | 1 | 82945 | 3 | 5.453 | 15210.9 |
| 451 | 2025-05-26 02:36:48 | examples | 4 | 161609 | 910 | 88.020 | 1836.0 |
| 450 | 2025-05-25 08:59:02 | examples | 4 | 161609 | 910 | 11.300 | 14301.7 |
| 449 | 2025-05-24 20:24:10 | examples | 4 | 161609 | 910 | 65.910 | 2452.0 |
| 448 | 2025-05-24 05:58:03 | examples | 1 | 82945 | 3 | 3.656 | 22687.4 |
| 447 | 2025-05-24 05:34:16 | examples | 4 | 161609 | 910 | 77.303 | 2090.6 |
| 446 | 2025-05-16 12:26:56 | examples | 3 | 146162 | 89 | 23.893 | 6117.4 |
| 445 | 2025-05-16 08:43:50 | examples | 3 | 146162 | 89 | 40.690 | 3592.1 |
| 444 | 2025-05-16 06:40:10 | examples | 1 | 82945 | 3 | 3.623 | 22894.0 |
| 443 | 2025-05-15 19:46:44 | examples | 4 | 161609 | 910 | 60.660 | 2664.2 |
| 442 | 2025-05-15 14:15:27 | examples | 3 | 146162 | 89 | 9.733 | 15017.2 |
| 441 | 2025-05-14 15:52:07 | examples | 3 | 146162 | 89 | 42.440 | 3444.0 |
| 440 | 2025-05-14 15:07:38 | examples | 3 | 146162 | 89 | 42.646 | 3427.3 |
| 439 | 2025-05-14 07:50:54 | examples | 4 | 161609 | 910 | 53.363 | 3028.5 |