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 |
| 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 |
| 476 | 2025-03-09 16:46:12 | example | 1 | 69583 | 3 | 5.600 | 12425.5 |
| 475 | 2025-03-04 01:42:53 | example | 2 | 107671 | 11 | 10.360 | 10393.0 |
| 474 | 2025-03-04 01:42:45 | example | 1 | 69583 | 3 | 4.903 | 14191.9 |
| 473 | 2025-03-03 10:29:56 | example | 1 | 69583 | 3 | 4.330 | 16070.0 |
| 472 | 2025-03-03 02:41:17 | example | 3 | 134027 | 87 | 17.860 | 7504.3 |
| 471 | 2025-03-02 23:32:45 | example | 4 | 151207 | 922 | 69.413 | 2178.4 |
| 470 | 2025-03-01 04:39:47 | example | 4 | 151207 | 922 | 70.956 | 2131.0 |
| 469 | 2025-02-28 08:12:52 | example | 3 | 134027 | 87 | 28.766 | 4659.2 |
| 468 | 2025-02-28 08:12:52 | example | 2 | 107671 | 11 | 12.746 | 8447.4 |
| 467 | 2025-02-28 08:11:00 | example | 4 | 151207 | 922 | 64.863 | 2331.2 |
| 466 | 2025-02-28 08:11:57 | example | 1 | 69583 | 3 | 6.016 | 11566.3 |
| 465 | 2025-02-27 21:59:47 | example | 4 | 151207 | 922 | 56.750 | 2664.4 |
| 464 | 2025-02-27 20:04:40 | example | 4 | 151207 | 922 | 66.113 | 2287.1 |
| 463 | 2025-02-27 19:35:05 | example | 4 | 151207 | 922 | 47.113 | 3209.5 |
| 462 | 2025-02-25 14:01:03 | example | 3 | 134027 | 87 | 5.953 | 22514.2 |
| 461 | 2025-02-24 13:20:28 | example | 3 | 134027 | 87 | 25.080 | 5344.0 |
| 460 | 2025-02-23 13:03:31 | example | 3 | 134027 | 87 | 42.283 | 3169.8 |
| 459 | 2025-02-22 03:49:43 | example | 3 | 134027 | 87 | 32.440 | 4131.5 |
| 458 | 2025-02-21 22:44:34 | example | 3 | 134027 | 87 | 30.626 | 4376.2 |
| 457 | 2025-01-29 02:00:29 | example | 2 | 107671 | 11 | 13.610 | 7911.2 |
| 456 | 2025-01-29 01:59:37 | example | 1 | 69583 | 3 | 5.876 | 11841.9 |
| 455 | 2025-01-28 04:01:20 | example | 4 | 151207 | 922 | 51.773 | 2920.6 |
| 454 | 2025-01-27 22:35:08 | example | 4 | 151207 | 922 | 34.300 | 4408.4 |
| 453 | 2025-01-27 22:12:26 | example | 4 | 151207 | 922 | 57.660 | 2622.4 |
| 452 | 2025-01-27 22:05:07 | example | 4 | 151207 | 922 | 19.796 | 7638.3 |
| 451 | 2025-01-27 22:04:08 | example | 2 | 107671 | 11 | 6.186 | 17405.6 |
| 450 | 2025-01-23 21:13:04 | example | 1 | 69583 | 3 | 6.000 | 11597.2 |
| 449 | 2025-01-23 07:13:54 | example | 1 | 69583 | 3 | 4.186 | 16622.8 |
| 448 | 2025-01-21 15:36:48 | example | 3 | 134027 | 87 | 29.203 | 4589.5 |
| 447 | 2025-01-19 11:04:57 | example | 2 | 107671 | 11 | 23.970 | 4491.9 |
| 446 | 2025-01-19 11:04:42 | example | 1 | 69583 | 3 | 2.830 | 24587.6 |
| 445 | 2025-01-19 10:06:45 | example | 3 | 134027 | 87 | 37.890 | 3537.3 |
| 444 | 2025-01-18 04:45:13 | example | 3 | 134027 | 87 | 16.343 | 8200.9 |
| 443 | 2025-01-18 03:23:32 | example | 3 | 134027 | 87 | 32.813 | 4084.6 |
| 442 | 2025-01-18 03:23:33 | example | 2 | 107671 | 11 | 16.000 | 6729.4 |
| 441 | 2025-01-18 03:22:46 | example | 1 | 69583 | 3 | 3.716 | 18725.2 |
| 440 | 2024-12-27 22:36:00 | example | 1 | 69583 | 3 | 4.466 | 15580.6 |
| 439 | 2024-12-23 22:24:20 | example | 1 | 69583 | 3 | 8.313 | 8370.4 |
| 438 | 2024-11-20 10:20:44 | example | 1 | 69583 | 3 | 3.453 | 20151.5 |
| 437 | 2024-11-18 15:17:07 | example | 1 | 69583 | 3 | 5.753 | 12095.1 |
| 436 | 2024-11-17 02:12:32 | example | 1 | 69583 | 3 | 6.860 | 10143.3 |