History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"relearned"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 558 | 2026-04-19 18:46:21 | relearned | 1 | 81242 | 2 | 5.893 | 13786.2 |
| 557 | 2026-04-16 05:47:23 | relearned | 1 | 81242 | 2 | 5.766 | 14089.8 |
| 556 | 2026-04-13 00:10:17 | relearned | 3 | 148641 | 107 | 50.580 | 2938.7 |
| 555 | 2026-04-13 00:10:09 | relearned | 3 | 148641 | 107 | 33.353 | 4456.6 |
| 554 | 2026-04-13 00:09:59 | relearned | 3 | 148641 | 107 | 21.770 | 6827.8 |
| 553 | 2026-04-10 11:32:59 | relearned | 1 | 81242 | 2 | 6.860 | 11842.9 |
| 552 | 2026-03-18 13:48:15 | relearned | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 551 | 2026-03-18 11:58:39 | relearned | 1 | 81242 | 2 | 1.940 | 41877.3 |
| 550 | 2026-03-15 03:26:39 | relearned | 3 | 148641 | 107 | 36.376 | 4086.2 |
| 549 | 2026-03-15 03:26:07 | relearned | 3 | 148641 | 107 | 55.066 | 2699.3 |
| 548 | 2026-03-14 08:48:06 | relearned | 1 | 81242 | 2 | 3.560 | 22820.8 |
| 547 | 2026-03-10 10:11:45 | relearned | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 546 | 2026-03-09 15:01:53 | relearned | 1 | 81242 | 2 | 2.733 | 29726.3 |
| 545 | 2026-03-05 02:57:46 | relearned | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 544 | 2026-03-04 18:10:59 | relearned | 1 | 81242 | 2 | 2.890 | 28111.4 |
| 543 | 2026-02-14 13:30:46 | relearned | 1 | 81242 | 2 | 3.796 | 21402.0 |
| 542 | 2026-02-12 06:13:10 | relearned | 3 | 148641 | 107 | 24.080 | 6172.8 |
| 541 | 2026-02-10 16:37:45 | relearned | 1 | 81242 | 2 | 3.516 | 23106.4 |
| 540 | 2026-02-08 14:15:22 | relearned | 1 | 81242 | 2 | 2.406 | 33766.4 |
| 539 | 2026-02-06 04:23:11 | relearned | 2 | 121436 | 12 | 6.000 | 20239.3 |
| 538 | 2026-01-31 06:51:03 | relearned | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 537 | 2026-01-30 20:16:56 | relearned | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 536 | 2026-01-19 03:58:40 | relearned | 1 | 81242 | 2 | 7.096 | 11449.0 |
| 535 | 2026-01-19 03:29:39 | relearned | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 534 | 2026-01-07 03:13:39 | relearned | 1 | 81242 | 2 | 2.953 | 27511.7 |
| 533 | 2026-01-06 23:12:59 | relearned | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 532 | 2025-12-28 15:54:35 | relearned | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 531 | 2025-12-24 04:37:07 | relearned | 1 | 81242 | 2 | 3.813 | 21306.6 |
| 530 | 2025-12-15 13:28:00 | relearned | 1 | 81242 | 2 | 6.763 | 12012.7 |
| 529 | 2025-11-24 14:49:10 | relearned | 1 | 81242 | 2 | 3.156 | 25742.1 |
| 528 | 2025-11-21 11:40:16 | relearned | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 527 | 2025-11-12 11:31:39 | relearned | 3 | 148641 | 107 | 7.296 | 20372.9 |
| 526 | 2025-11-04 09:27:23 | relearned | 1 | 81242 | 2 | 2.156 | 37681.8 |
| 525 | 2025-11-04 06:34:52 | relearned | 1 | 81242 | 2 | 3.220 | 25230.4 |
| 524 | 2025-10-03 15:36:28 | relearned | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 523 | 2025-09-19 21:15:54 | relearned | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 522 | 2025-09-13 04:52:31 | relearned | 1 | 81242 | 2 | 2.406 | 33766.4 |
| 521 | 2025-08-27 06:11:04 | relearned | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 520 | 2025-08-06 09:40:10 | relearned | 2 | 121436 | 12 | 8.936 | 13589.5 |
| 519 | 2025-08-05 21:12:53 | relearned | 3 | 148641 | 107 | 18.160 | 8185.1 |
| 518 | 2025-08-05 10:48:21 | relearned | 1 | 81242 | 2 | 3.220 | 25230.4 |
| 517 | 2025-08-04 03:31:10 | relearned | 1 | 81242 | 2 | 3.593 | 22611.2 |
| 516 | 2025-08-03 19:26:42 | relearned | 2 | 121436 | 12 | 27.203 | 4464.1 |
| 515 | 2025-08-03 17:58:20 | relearned | 3 | 148641 | 107 | 20.126 | 7385.5 |
| 514 | 2025-07-30 23:42:41 | relearned | 1 | 81242 | 2 | 7.236 | 11227.5 |
| 513 | 2025-07-27 12:14:32 | relearned | 1 | 81242 | 2 | 4.673 | 17385.4 |
| 512 | 2025-07-27 10:15:17 | relearned | 1 | 81242 | 2 | 4.173 | 19468.5 |
| 511 | 2025-07-25 07:16:47 | relearned | 1 | 81242 | 2 | 4.360 | 18633.5 |
| 510 | 2025-07-24 20:54:27 | relearned | 1 | 81242 | 2 | 6.143 | 13225.1 |
| 509 | 2025-07-24 16:19:58 | relearned | 1 | 81242 | 2 | 7.173 | 11326.1 |
| 508 | 2025-07-23 03:54:40 | relearned | 1 | 81242 | 2 | 4.783 | 16985.6 |
| 507 | 2025-07-10 16:40:32 | relearned | 1 | 81242 | 2 | 7.436 | 10925.5 |
| 506 | 2025-06-27 22:45:53 | relearned | 1 | 81242 | 2 | 3.843 | 21140.3 |
| 505 | 2025-06-27 04:22:30 | relearned | 2 | 121436 | 12 | 18.893 | 6427.6 |
| 504 | 2025-06-27 01:44:32 | relearned | 2 | 121436 | 12 | 9.076 | 13379.9 |
| 503 | 2025-06-26 03:24:41 | relearned | 3 | 148641 | 107 | 40.393 | 3679.9 |
| 502 | 2025-06-24 20:33:24 | relearned | 2 | 121436 | 12 | 4.016 | 30238.0 |
| 501 | 2025-06-24 20:24:57 | relearned | 3 | 148641 | 107 | 7.923 | 18760.7 |
| 500 | 2025-06-23 11:00:15 | relearned | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 499 | 2025-06-04 18:50:28 | relearned | 3 | 148641 | 107 | 52.113 | 2852.3 |
| 498 | 2025-06-04 18:48:20 | relearned | 2 | 121436 | 12 | 16.533 | 7345.1 |
| 497 | 2025-06-03 11:54:10 | relearned | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 496 | 2025-05-26 03:53:02 | relearned | 3 | 148641 | 107 | 28.610 | 5195.4 |
| 495 | 2025-05-24 15:19:27 | relearned | 2 | 121436 | 12 | 17.980 | 6753.9 |
| 494 | 2025-05-24 03:29:34 | relearned | 3 | 148641 | 107 | 35.876 | 4143.2 |
| 493 | 2025-05-23 21:23:56 | relearned | 1 | 81242 | 2 | 9.750 | 8332.5 |
| 492 | 2025-05-23 17:33:12 | relearned | 1 | 81242 | 2 | 1.890 | 42985.2 |
| 491 | 2025-05-23 11:18:00 | relearned | 1 | 81242 | 2 | 3.686 | 22040.7 |
| 490 | 2025-05-16 09:56:54 | relearned | 1 | 81242 | 2 | 3.250 | 24997.5 |
| 489 | 2025-05-16 07:11:01 | relearned | 1 | 81242 | 2 | 5.673 | 14320.8 |
| 488 | 2025-05-15 21:34:13 | relearned | 1 | 81242 | 2 | 8.170 | 9943.9 |
| 487 | 2025-05-13 04:26:17 | relearned | 1 | 81242 | 2 | 3.330 | 24397.0 |
| 486 | 2025-05-12 22:47:16 | relearned | 1 | 81242 | 2 | 7.203 | 11278.9 |
| 485 | 2025-05-11 05:07:21 | relearned | 1 | 81242 | 2 | 3.610 | 22504.7 |
| 484 | 2025-05-02 14:36:04 | relearned | 1 | 81242 | 2 | 6.343 | 12808.1 |
| 483 | 2025-04-30 11:54:04 | relearned | 1 | 81242 | 2 | 10.236 | 7936.9 |
| 482 | 2025-04-23 10:24:11 | relearned | 1 | 81242 | 2 | 6.826 | 11901.8 |
| 481 | 2025-04-16 04:31:27 | relearned | 2 | 121436 | 12 | 12.643 | 9605.0 |
| 480 | 2025-04-11 17:10:25 | relearned | 1 | 81242 | 2 | 5.953 | 13647.2 |
| 479 | 2025-04-10 22:22:15 | relearned | 1 | 81242 | 2 | 4.953 | 16402.6 |
| 478 | 2025-03-27 17:03:41 | relearned | 1 | 81242 | 2 | 3.393 | 23944.0 |
| 477 | 2025-03-25 10:14:57 | relearned | 2 | 121436 | 12 | 16.033 | 7574.1 |
| 476 | 2025-03-24 07:56:04 | relearned | 1 | 81242 | 2 | 6.826 | 11901.8 |
| 475 | 2025-03-24 00:10:16 | relearned | 2 | 121436 | 12 | 3.466 | 35036.4 |
| 474 | 2025-03-22 11:32:10 | relearned | 1 | 81242 | 2 | 1.576 | 51549.5 |
| 473 | 2025-03-20 05:19:52 | relearned | 3 | 148641 | 107 | 39.330 | 3779.3 |
| 472 | 2025-03-19 11:40:11 | relearned | 3 | 148641 | 107 | 6.233 | 23847.4 |
| 471 | 2025-03-17 23:39:31 | relearned | 3 | 148641 | 107 | 29.953 | 4962.5 |
| 470 | 2025-03-17 23:39:28 | relearned | 2 | 121436 | 12 | 16.750 | 7249.9 |
| 469 | 2025-03-16 06:19:32 | relearned | 1 | 81242 | 2 | 7.126 | 11400.8 |
| 468 | 2025-03-14 19:42:33 | relearned | 1 | 81242 | 2 | 7.810 | 10402.3 |
| 467 | 2025-03-07 13:05:40 | relearned | 1 | 81242 | 2 | 4.000 | 20310.5 |
| 466 | 2025-02-24 15:52:31 | relearned | 1 | 81242 | 2 | 2.283 | 35585.6 |
| 465 | 2025-02-09 13:17:51 | relearned | 1 | 81242 | 2 | 3.983 | 20397.2 |
| 464 | 2025-02-04 09:47:38 | relearned | 1 | 81242 | 2 | 4.080 | 19912.3 |
| 463 | 2025-01-26 21:17:13 | relearned | 1 | 81242 | 2 | 8.313 | 9772.9 |
| 462 | 2025-01-24 19:14:09 | relearned | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 461 | 2025-01-06 16:58:12 | relearned | 1 | 81242 | 2 | 1.546 | 52549.8 |
| 460 | 2025-01-01 10:21:03 | relearned | 3 | 148641 | 107 | 52.786 | 2815.9 |
| 459 | 2024-12-31 21:10:10 | relearned | 3 | 148641 | 107 | 46.906 | 3168.9 |