History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"example"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 576 | 2025-10-27 13:21:14 | example | 4 | 151207 | 922 | 11.750 | 12868.7 |
| 575 | 2025-10-27 01:27:33 | example | 1 | 69583 | 3 | 1.200 | 57985.8 |
| 574 | 2025-10-22 00:57:32 | example | 1 | 69583 | 3 | 5.250 | 13253.9 |
| 573 | 2025-10-22 00:57:15 | example | 1 | 69583 | 3 | 5.656 | 12302.5 |
| 572 | 2025-10-22 00:57:04 | example | 1 | 69583 | 3 | 8.186 | 8500.2 |
| 571 | 2025-10-22 00:56:45 | example | 1 | 69583 | 3 | 5.783 | 12032.3 |
| 570 | 2025-10-19 05:58:04 | example | 4 | 151207 | 922 | 10.393 | 14548.9 |
| 569 | 2025-10-17 13:49:01 | example | 4 | 151207 | 922 | 10.500 | 14400.7 |
| 568 | 2025-10-16 19:49:08 | example | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 567 | 2025-10-14 15:38:53 | example | 4 | 151207 | 922 | 11.673 | 12953.6 |
| 566 | 2025-10-14 01:13:37 | example | 4 | 151207 | 922 | 10.343 | 14619.3 |
| 565 | 2025-10-13 19:13:41 | example | 4 | 151207 | 922 | 11.596 | 13039.6 |
| 564 | 2025-10-08 10:46:50 | example | 4 | 151207 | 922 | 14.046 | 10765.1 |
| 563 | 2025-10-01 09:16:05 | example | 4 | 151207 | 922 | 10.640 | 14211.2 |
| 562 | 2025-09-29 22:14:33 | example | 4 | 151207 | 922 | 11.580 | 13057.6 |
| 561 | 2025-09-25 10:32:47 | example | 4 | 151207 | 922 | 42.190 | 3584.0 |
| 560 | 2025-09-22 13:22:01 | example | 3 | 134027 | 87 | 10.140 | 13217.7 |
| 559 | 2025-09-20 10:22:36 | example | 4 | 151207 | 922 | 11.313 | 13365.8 |
| 558 | 2025-09-18 15:03:08 | example | 1 | 69583 | 3 | 5.360 | 12981.9 |
| 557 | 2025-09-13 20:33:58 | example | 3 | 134027 | 87 | 6.346 | 21119.9 |
| 556 | 2025-09-13 15:58:47 | example | 4 | 151207 | 922 | 10.453 | 14465.4 |
| 555 | 2025-09-12 17:56:49 | example | 4 | 151207 | 922 | 11.373 | 13295.3 |
| 554 | 2025-09-11 23:33:06 | example | 3 | 134027 | 87 | 6.500 | 20619.5 |
| 553 | 2025-09-09 08:54:39 | example | 4 | 151207 | 922 | 11.763 | 12854.5 |
| 552 | 2025-09-03 11:38:24 | example | 4 | 151207 | 922 | 11.436 | 13222.0 |
| 551 | 2025-09-02 12:43:29 | example | 2 | 107671 | 11 | 2.843 | 37872.3 |
| 550 | 2025-09-02 09:08:51 | example | 3 | 134027 | 87 | 6.766 | 19808.9 |
| 549 | 2025-09-01 10:06:59 | example | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 548 | 2025-09-01 04:02:07 | example | 4 | 151207 | 922 | 17.780 | 8504.3 |
| 547 | 2025-08-28 00:50:07 | example | 4 | 151207 | 922 | 11.983 | 12618.5 |
| 546 | 2025-08-23 06:25:11 | example | 1 | 69583 | 3 | 8.046 | 8648.1 |
| 545 | 2025-08-19 06:57:01 | example | 1 | 69583 | 3 | 5.046 | 13789.7 |
| 544 | 2025-08-09 06:20:02 | example | 1 | 69583 | 3 | 7.016 | 9917.8 |
| 543 | 2025-08-08 19:45:26 | example | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 542 | 2025-08-05 18:31:15 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 541 | 2025-07-28 08:31:43 | example | 1 | 69583 | 3 | 2.750 | 25302.9 |
| 540 | 2025-07-25 19:39:05 | example | 1 | 69583 | 3 | 1.330 | 52318.0 |
| 539 | 2025-07-25 09:34:42 | example | 1 | 69583 | 3 | 4.893 | 14220.9 |
| 538 | 2025-07-22 13:02:51 | example | 1 | 69583 | 3 | 6.126 | 11358.6 |
| 537 | 2025-07-22 11:35:14 | example | 1 | 69583 | 3 | 5.126 | 13574.5 |
| 536 | 2025-07-19 16:01:13 | example | 2 | 107671 | 11 | 4.986 | 21594.7 |
| 535 | 2025-07-12 11:51:40 | example | 3 | 134027 | 87 | 6.326 | 21186.7 |
| 534 | 2025-07-11 19:26:26 | example | 3 | 134027 | 87 | 16.893 | 7933.9 |
| 533 | 2025-07-11 06:08:06 | example | 3 | 134027 | 87 | 28.093 | 4770.8 |
| 532 | 2025-07-10 14:56:13 | example | 1 | 69583 | 3 | 2.076 | 33517.8 |
| 531 | 2025-07-10 08:36:16 | example | 2 | 107671 | 11 | 2.940 | 36622.8 |
| 530 | 2025-07-10 06:50:52 | example | 2 | 107671 | 11 | 21.936 | 4908.4 |
| 529 | 2025-07-08 18:26:36 | example | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 528 | 2025-07-02 07:41:46 | example | 1 | 69583 | 3 | 3.076 | 22621.3 |
| 527 | 2025-07-02 04:17:05 | example | 1 | 69583 | 3 | 6.300 | 11044.9 |
| 526 | 2025-06-28 20:33:31 | example | 4 | 151207 | 922 | 11.296 | 13385.9 |
| 525 | 2025-06-22 20:41:19 | example | 2 | 107671 | 11 | 3.250 | 33129.5 |
| 524 | 2025-06-18 15:16:21 | example | 4 | 151207 | 922 | 72.596 | 2082.9 |
| 523 | 2025-06-18 11:45:36 | example | 4 | 151207 | 922 | 59.313 | 2549.3 |
| 522 | 2025-06-18 02:10:31 | example | 4 | 151207 | 922 | 56.643 | 2669.5 |
| 521 | 2025-06-17 23:43:27 | example | 4 | 151207 | 922 | 36.970 | 4090.0 |
| 520 | 2025-06-16 15:30:28 | example | 1 | 69583 | 3 | 7.733 | 8998.2 |
| 519 | 2025-06-16 12:34:14 | example | 4 | 151207 | 922 | 73.643 | 2053.2 |
| 518 | 2025-06-16 11:38:09 | example | 1 | 69583 | 3 | 4.783 | 14548.0 |
| 517 | 2025-06-10 07:53:28 | example | 1 | 69583 | 3 | 3.640 | 19116.2 |
| 516 | 2025-06-10 00:42:29 | example | 4 | 151207 | 922 | 50.690 | 2983.0 |
| 515 | 2025-06-07 08:02:27 | example | 4 | 151207 | 922 | 21.673 | 6976.7 |
| 514 | 2025-05-31 22:38:24 | example | 4 | 151207 | 922 | 58.813 | 2571.0 |
| 513 | 2025-05-27 22:57:01 | example | 1 | 69583 | 3 | 1.173 | 59320.5 |
| 512 | 2025-05-26 07:53:33 | example | 1 | 69583 | 3 | 3.920 | 17750.8 |
| 511 | 2025-05-26 03:29:04 | example | 1 | 69583 | 3 | 6.970 | 9983.2 |
| 510 | 2025-05-20 12:59:31 | example | 1 | 69583 | 3 | 8.640 | 8053.6 |
| 509 | 2025-05-19 14:08:31 | example | 4 | 151207 | 922 | 12.173 | 12421.5 |
| 508 | 2025-05-18 17:43:39 | example | 4 | 151207 | 922 | 75.816 | 1994.4 |
| 507 | 2025-05-18 14:28:16 | example | 4 | 151207 | 922 | 56.626 | 2670.3 |
| 506 | 2025-05-18 03:25:39 | example | 4 | 151207 | 922 | 48.060 | 3146.2 |
| 505 | 2025-05-17 04:46:54 | example | 4 | 151207 | 922 | 11.033 | 13705.0 |
| 504 | 2025-05-16 11:31:37 | example | 4 | 151207 | 922 | 47.266 | 3199.1 |
| 503 | 2025-05-13 03:39:58 | example | 1 | 69583 | 3 | 6.096 | 11414.5 |
| 502 | 2025-05-10 07:54:55 | example | 1 | 69583 | 3 | 4.453 | 15626.1 |
| 501 | 2025-05-07 22:09:11 | example | 4 | 151207 | 922 | 54.833 | 2757.6 |
| 500 | 2025-05-07 22:08:04 | example | 4 | 151207 | 922 | 65.880 | 2295.2 |
| 499 | 2025-05-01 17:06:02 | example | 4 | 151207 | 922 | 11.390 | 13275.4 |
| 498 | 2025-04-27 04:06:22 | example | 4 | 151207 | 922 | 10.436 | 14489.0 |
| 497 | 2025-04-25 08:01:57 | example | 1 | 69583 | 3 | 4.123 | 16876.8 |
| 496 | 2025-04-25 06:19:52 | example | 1 | 69583 | 3 | 2.860 | 24329.7 |
| 495 | 2025-04-25 01:41:38 | example | 4 | 151207 | 922 | 48.766 | 3100.7 |
| 494 | 2025-04-24 17:23:35 | example | 4 | 151207 | 922 | 12.643 | 11959.7 |
| 493 | 2025-04-22 21:01:26 | example | 4 | 151207 | 922 | 58.003 | 2606.9 |
| 492 | 2025-04-18 12:11:50 | example | 1 | 69583 | 3 | 8.720 | 7979.7 |
| 491 | 2025-04-16 14:02:54 | example | 1 | 69583 | 3 | 6.016 | 11566.3 |
| 490 | 2025-04-16 10:34:56 | example | 1 | 69583 | 3 | 3.016 | 23071.3 |
| 489 | 2025-04-15 22:34:20 | example | 4 | 151207 | 922 | 74.816 | 2021.1 |
| 488 | 2025-04-14 17:48:53 | example | 4 | 151207 | 922 | 55.970 | 2701.6 |
| 487 | 2025-04-14 13:57:17 | example | 4 | 151207 | 922 | 33.983 | 4449.5 |
| 486 | 2025-04-14 11:04:20 | example | 4 | 151207 | 922 | 53.736 | 2813.9 |
| 485 | 2025-04-13 17:35:38 | example | 4 | 151207 | 922 | 11.500 | 13148.4 |
| 484 | 2025-04-12 20:39:04 | example | 4 | 151207 | 922 | 19.160 | 7891.8 |
| 483 | 2025-04-11 13:55:02 | example | 4 | 151207 | 922 | 61.410 | 2462.3 |
| 482 | 2025-04-09 07:09:09 | example | 1 | 69583 | 3 | 5.503 | 12644.6 |
| 481 | 2025-04-09 03:21:22 | example | 1 | 69583 | 3 | 5.093 | 13662.5 |
| 480 | 2025-03-25 07:54:25 | example | 1 | 69583 | 3 | 5.076 | 13708.2 |
| 479 | 2025-03-15 15:04:14 | example | 1 | 69583 | 3 | 2.940 | 23667.7 |
| 478 | 2025-03-15 02:00:32 | example | 4 | 151207 | 922 | 69.020 | 2190.8 |
| 477 | 2025-03-13 00:24:28 | example | 4 | 151207 | 922 | 21.173 | 7141.5 |