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 |
| 592 | 2026-01-31 09:11:11 | examples | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 591 | 2026-01-29 09:51:42 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
| 590 | 2026-01-28 04:40:24 | examples | 4 | 161609 | 910 | 57.206 | 2825.0 |
| 589 | 2026-01-28 04:40:35 | examples | 4 | 161609 | 910 | 44.893 | 3599.9 |
| 588 | 2026-01-27 09:26:19 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 587 | 2026-01-25 13:00:01 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 586 | 2026-01-22 14:33:11 | examples | 2 | 121059 | 9 | 4.250 | 28484.5 |
| 585 | 2026-01-20 21:38:08 | examples | 4 | 161609 | 910 | 24.736 | 6533.4 |
| 584 | 2026-01-20 09:53:51 | examples | 4 | 161609 | 910 | 13.486 | 11983.5 |
| 583 | 2026-01-18 17:25:06 | examples | 3 | 146162 | 89 | 6.436 | 22710.1 |
| 582 | 2026-01-18 00:24:44 | examples | 4 | 161609 | 910 | 63.920 | 2528.3 |
| 581 | 2026-01-18 00:24:54 | examples | 4 | 161609 | 910 | 48.633 | 3323.0 |
| 580 | 2026-01-17 20:43:36 | examples | 3 | 146162 | 89 | 23.500 | 6219.7 |
| 579 | 2026-01-16 22:44:04 | examples | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 578 | 2026-01-16 09:37:59 | examples | 4 | 161609 | 910 | 12.390 | 13043.5 |
| 577 | 2026-01-15 03:12:15 | examples | 2 | 121059 | 9 | 3.813 | 31749.0 |
| 576 | 2026-01-14 23:49:54 | examples | 2 | 121059 | 9 | 3.546 | 34139.6 |
| 575 | 2026-01-14 23:31:11 | examples | 3 | 146162 | 89 | 7.530 | 19410.6 |
| 574 | 2026-01-14 15:47:46 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 573 | 2026-01-14 13:47:56 | examples | 1 | 82945 | 3 | 1.263 | 65673.0 |
| 572 | 2026-01-13 01:04:25 | examples | 4 | 161609 | 910 | 11.673 | 13844.7 |
| 571 | 2026-01-12 20:12:32 | examples | 4 | 161609 | 910 | 13.810 | 11702.3 |
| 570 | 2026-01-11 03:42:00 | examples | 4 | 161609 | 910 | 11.873 | 13611.5 |
| 569 | 2026-01-10 14:36:53 | examples | 4 | 161609 | 910 | 10.953 | 14754.8 |
| 568 | 2026-01-10 09:59:18 | examples | 4 | 161609 | 910 | 11.393 | 14184.9 |
| 567 | 2026-01-10 02:41:29 | examples | 4 | 161609 | 910 | 12.216 | 13229.3 |
| 566 | 2026-01-08 14:21:19 | examples | 3 | 146162 | 89 | 6.310 | 23163.5 |
| 565 | 2026-01-07 23:42:49 | examples | 4 | 161609 | 910 | 11.626 | 13900.7 |
| 564 | 2026-01-01 13:03:20 | examples | 4 | 161609 | 910 | 12.423 | 13008.9 |
| 563 | 2026-01-01 07:58:01 | examples | 4 | 161609 | 910 | 13.233 | 12212.6 |
| 562 | 2026-01-01 02:44:38 | examples | 4 | 161609 | 910 | 11.626 | 13900.7 |
| 561 | 2025-12-29 22:24:34 | examples | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 560 | 2025-12-29 07:33:50 | examples | 3 | 146162 | 89 | 6.983 | 20931.1 |
| 559 | 2025-12-29 01:27:23 | examples | 3 | 146162 | 89 | 7.250 | 20160.3 |
| 558 | 2025-12-29 00:56:55 | examples | 3 | 146162 | 89 | 7.736 | 18893.7 |
| 557 | 2025-12-27 23:56:47 | examples | 3 | 146162 | 89 | 7.140 | 20470.9 |
| 556 | 2025-12-24 17:14:27 | examples | 1 | 82945 | 3 | 2.796 | 29665.6 |
| 555 | 2025-12-16 13:50:05 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 554 | 2025-12-15 17:30:34 | examples | 4 | 161609 | 910 | 11.953 | 13520.4 |
| 553 | 2025-12-15 01:28:32 | examples | 2 | 121059 | 9 | 3.640 | 33258.0 |
| 552 | 2025-12-14 23:31:42 | examples | 2 | 121059 | 9 | 3.546 | 34139.6 |
| 551 | 2025-12-14 11:15:22 | examples | 2 | 121059 | 9 | 3.186 | 37997.2 |
| 550 | 2025-12-07 19:02:16 | examples | 4 | 161609 | 910 | 11.953 | 13520.4 |
| 549 | 2025-12-05 12:42:11 | examples | 4 | 161609 | 910 | 16.953 | 9532.8 |
| 548 | 2025-11-30 01:40:29 | examples | 1 | 82945 | 3 | 1.440 | 57600.7 |
| 547 | 2025-11-29 01:21:26 | examples | 4 | 161609 | 910 | 14.486 | 11156.2 |
| 546 | 2025-11-27 16:57:32 | examples | 1 | 82945 | 3 | 1.406 | 58993.6 |
| 545 | 2025-11-25 00:08:45 | examples | 1 | 82945 | 3 | 1.533 | 54106.3 |
| 544 | 2025-11-22 01:10:11 | examples | 1 | 82945 | 3 | 1.576 | 52630.1 |
| 543 | 2025-11-20 03:37:03 | examples | 4 | 161609 | 910 | 15.376 | 10510.5 |
| 542 | 2025-11-14 02:00:30 | examples | 2 | 121059 | 9 | 3.513 | 34460.3 |
| 541 | 2025-11-13 09:50:12 | examples | 4 | 161609 | 910 | 12.436 | 12995.3 |
| 540 | 2025-11-12 13:04:20 | examples | 3 | 146162 | 89 | 6.703 | 21805.5 |
| 539 | 2025-11-08 12:05:05 | examples | 3 | 146162 | 89 | 7.313 | 19986.6 |
| 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 |