History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"relearn"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 504 | 2025-10-19 19:59:23 | relearn | 1 | 69583 | 4 | 3.720 | 18705.1 |
| 503 | 2025-10-19 14:28:17 | relearn | 1 | 69583 | 4 | 1.296 | 53690.6 |
| 502 | 2025-10-12 01:59:09 | relearn | 1 | 69583 | 4 | 1.173 | 59320.5 |
| 501 | 2025-10-04 13:18:44 | relearn | 1 | 69583 | 4 | 1.360 | 51164.0 |
| 500 | 2025-09-29 11:45:02 | relearn | 1 | 69583 | 4 | 1.356 | 51314.9 |
| 499 | 2025-09-23 11:56:27 | relearn | 1 | 69583 | 4 | 1.236 | 56296.9 |
| 498 | 2025-09-23 06:47:52 | relearn | 1 | 69583 | 4 | 1.126 | 61796.6 |
| 497 | 2025-09-17 22:46:58 | relearn | 1 | 69583 | 4 | 1.296 | 53690.6 |
| 496 | 2025-09-17 00:46:58 | relearn | 1 | 69583 | 4 | 1.283 | 54234.6 |
| 495 | 2025-09-09 19:20:01 | relearn | 1 | 69583 | 4 | 1.330 | 52318.0 |
| 494 | 2025-09-07 17:25:00 | relearn | 1 | 69583 | 4 | 1.216 | 57222.9 |
| 493 | 2025-08-31 10:29:06 | relearn | 1 | 69583 | 4 | 1.220 | 57035.2 |
| 492 | 2025-08-30 22:00:25 | relearn | 1 | 69583 | 4 | 1.266 | 54962.9 |
| 491 | 2025-08-27 15:06:55 | relearn | 1 | 69583 | 4 | 1.233 | 56433.9 |
| 490 | 2025-08-26 14:29:34 | relearn | 3 | 134027 | 200 | 9.436 | 14203.8 |
| 489 | 2025-08-26 06:25:43 | relearn | 2 | 107671 | 23 | 9.470 | 11369.7 |
| 488 | 2025-08-18 05:32:07 | relearn | 1 | 69583 | 4 | 1.720 | 40455.2 |
| 487 | 2025-08-14 06:01:02 | relearn | 1 | 69583 | 4 | 1.216 | 57222.9 |
| 486 | 2025-08-05 19:26:10 | relearn | 3 | 134027 | 200 | 26.673 | 5024.8 |
| 485 | 2025-08-05 15:06:48 | relearn | 1 | 69583 | 4 | 4.936 | 14097.0 |
| 484 | 2025-08-04 19:04:13 | relearn | 1 | 69583 | 4 | 3.013 | 23094.3 |
| 483 | 2025-08-04 08:38:06 | relearn | 3 | 134027 | 200 | 43.456 | 3084.2 |
| 482 | 2025-08-03 21:16:50 | relearn | 2 | 107671 | 23 | 10.940 | 9842.0 |
| 481 | 2025-08-03 04:48:20 | relearn | 2 | 107671 | 23 | 15.593 | 6905.1 |
| 480 | 2025-08-03 04:48:23 | relearn | 2 | 107671 | 23 | 8.360 | 12879.3 |
| 479 | 2025-08-03 04:07:01 | relearn | 3 | 134027 | 200 | 42.283 | 3169.8 |
| 478 | 2025-08-03 04:07:01 | relearn | 3 | 134027 | 200 | 39.173 | 3421.4 |
| 477 | 2025-07-31 11:13:37 | relearn | 1 | 69583 | 4 | 4.280 | 16257.7 |
| 476 | 2025-07-28 08:16:10 | relearn | 2 | 107671 | 23 | 7.906 | 13618.9 |
| 475 | 2025-07-28 07:35:21 | relearn | 3 | 134027 | 200 | 35.016 | 3827.6 |
| 474 | 2025-07-27 01:48:31 | relearn | 3 | 134027 | 200 | 25.436 | 5269.2 |
| 473 | 2025-07-26 14:01:26 | relearn | 1 | 69583 | 4 | 2.516 | 27656.2 |
| 472 | 2025-07-24 04:49:10 | relearn | 1 | 69583 | 4 | 2.766 | 25156.5 |
| 471 | 2025-07-24 02:00:41 | relearn | 1 | 69583 | 4 | 6.986 | 9960.3 |
| 470 | 2025-07-23 11:08:04 | relearn | 1 | 69583 | 4 | 3.080 | 22591.9 |
| 469 | 2025-07-23 01:52:56 | relearn | 1 | 69583 | 4 | 2.780 | 25029.9 |
| 468 | 2025-07-16 10:59:17 | relearn | 2 | 107671 | 23 | 16.716 | 6441.2 |
| 467 | 2025-07-15 23:26:18 | relearn | 3 | 134027 | 200 | 13.516 | 9916.2 |
| 466 | 2025-07-15 14:59:02 | relearn | 1 | 69583 | 4 | 6.040 | 11520.4 |
| 465 | 2025-07-12 14:14:59 | relearn | 1 | 69583 | 4 | 1.373 | 50679.5 |
| 464 | 2025-07-02 18:03:57 | relearn | 1 | 69583 | 4 | 6.376 | 10913.3 |
| 463 | 2025-06-27 08:17:37 | relearn | 2 | 107671 | 23 | 15.593 | 6905.1 |
| 462 | 2025-06-24 21:37:48 | relearn | 2 | 107671 | 23 | 3.516 | 30623.2 |
| 461 | 2025-06-24 21:26:56 | relearn | 3 | 134027 | 200 | 21.500 | 6233.8 |
| 460 | 2025-06-23 04:23:45 | relearn | 1 | 69583 | 4 | 1.266 | 54962.9 |
| 459 | 2025-06-22 14:50:27 | relearn | 1 | 69583 | 4 | 9.030 | 7705.8 |
| 458 | 2025-06-22 08:20:48 | relearn | 1 | 69583 | 4 | 6.140 | 11332.7 |
| 457 | 2025-06-16 17:52:19 | relearn | 3 | 134027 | 200 | 37.343 | 3589.1 |
| 456 | 2025-06-16 15:16:56 | relearn | 3 | 134027 | 200 | 52.126 | 2571.2 |
| 455 | 2025-06-16 14:09:20 | relearn | 3 | 134027 | 200 | 28.953 | 4629.1 |
| 454 | 2025-06-16 06:53:30 | relearn | 3 | 134027 | 200 | 31.016 | 4321.2 |
| 453 | 2025-06-15 09:12:50 | relearn | 2 | 107671 | 23 | 14.706 | 7321.6 |
| 452 | 2025-06-14 22:32:14 | relearn | 3 | 134027 | 200 | 9.313 | 14391.4 |
| 451 | 2025-06-14 05:37:43 | relearn | 1 | 69583 | 4 | 5.876 | 11841.9 |
| 450 | 2025-06-09 15:25:46 | relearn | 1 | 69583 | 4 | 5.843 | 11908.8 |
| 449 | 2025-06-06 08:40:02 | relearn | 1 | 69583 | 4 | 3.283 | 21194.9 |
| 448 | 2025-06-02 17:00:08 | relearn | 1 | 69583 | 4 | 4.393 | 15839.5 |
| 447 | 2025-06-01 11:39:16 | relearn | 1 | 69583 | 4 | 1.156 | 60192.9 |
| 446 | 2025-05-24 09:31:38 | relearn | 1 | 69583 | 4 | 6.236 | 11158.3 |
| 445 | 2025-05-22 05:29:17 | relearn | 1 | 69583 | 4 | 6.343 | 10970.0 |
| 444 | 2025-05-17 18:22:05 | relearn | 1 | 69583 | 4 | 1.343 | 51811.6 |
| 443 | 2025-05-16 00:10:37 | relearn | 1 | 69583 | 4 | 3.966 | 17544.9 |
| 442 | 2025-05-15 09:51:32 | relearn | 2 | 107671 | 23 | 4.580 | 23509.0 |
| 441 | 2025-05-15 07:11:24 | relearn | 3 | 134027 | 200 | 16.983 | 7891.8 |
| 440 | 2025-05-14 22:40:48 | relearn | 3 | 134027 | 200 | 7.423 | 18055.6 |
| 439 | 2025-05-14 20:04:22 | relearn | 3 | 134027 | 200 | 27.813 | 4818.9 |
| 438 | 2025-05-14 05:50:26 | relearn | 1 | 69583 | 4 | 5.813 | 11970.2 |
| 437 | 2025-05-13 12:56:09 | relearn | 1 | 69583 | 4 | 6.656 | 10454.2 |
| 436 | 2025-05-05 06:56:41 | relearn | 2 | 107671 | 23 | 3.656 | 29450.5 |
| 435 | 2025-05-02 16:42:00 | relearn | 1 | 69583 | 4 | 3.000 | 23194.3 |
| 434 | 2025-04-29 12:05:36 | relearn | 1 | 69583 | 4 | 1.233 | 56433.9 |
| 433 | 2025-04-26 02:27:44 | relearn | 2 | 107671 | 23 | 19.550 | 5507.5 |
| 432 | 2025-04-24 05:54:59 | relearn | 2 | 107671 | 23 | 14.846 | 7252.5 |
| 431 | 2025-04-20 06:46:36 | relearn | 1 | 69583 | 4 | 4.733 | 14701.7 |
| 430 | 2025-04-20 03:32:28 | relearn | 1 | 69583 | 4 | 6.130 | 11351.2 |
| 429 | 2025-04-18 04:24:58 | relearn | 3 | 134027 | 200 | 31.816 | 4212.6 |
| 428 | 2025-04-16 08:32:27 | relearn | 3 | 134027 | 200 | 34.593 | 3874.4 |
| 427 | 2025-04-14 17:27:23 | relearn | 3 | 134027 | 200 | 20.360 | 6582.9 |
| 426 | 2025-04-14 08:37:05 | relearn | 2 | 107671 | 23 | 13.596 | 7919.3 |
| 425 | 2025-04-14 06:16:30 | relearn | 3 | 134027 | 200 | 21.813 | 6144.4 |
| 424 | 2025-04-12 09:19:10 | relearn | 2 | 107671 | 23 | 16.673 | 6457.8 |
| 423 | 2025-04-11 22:02:26 | relearn | 3 | 134027 | 200 | 18.156 | 7382.0 |
| 422 | 2025-04-11 04:36:15 | relearn | 1 | 69583 | 4 | 6.216 | 11194.2 |
| 421 | 2025-04-09 14:39:25 | relearn | 1 | 69583 | 4 | 6.483 | 10733.1 |
| 420 | 2025-04-02 16:32:03 | relearn | 1 | 69583 | 4 | 2.906 | 23944.6 |
| 419 | 2025-03-25 01:51:20 | relearn | 1 | 69583 | 4 | 4.716 | 14754.7 |
| 418 | 2025-03-20 08:42:41 | relearn | 1 | 69583 | 4 | 7.500 | 9277.7 |
| 417 | 2025-03-20 03:58:59 | relearn | 1 | 69583 | 4 | 10.623 | 6550.2 |
| 416 | 2025-03-10 10:37:49 | relearn | 1 | 69583 | 4 | 5.610 | 12403.4 |
| 415 | 2025-03-08 19:23:05 | relearn | 1 | 69583 | 4 | 5.483 | 12690.7 |
| 414 | 2025-03-03 00:36:59 | relearn | 1 | 69583 | 4 | 3.030 | 22964.7 |
| 413 | 2025-02-17 13:31:25 | relearn | 1 | 69583 | 4 | 8.690 | 8007.2 |
| 412 | 2025-02-11 09:58:37 | relearn | 1 | 69583 | 4 | 1.106 | 62914.1 |
| 411 | 2025-01-15 08:22:40 | relearn | 1 | 69583 | 4 | 3.203 | 21724.3 |
| 410 | 2025-01-06 07:05:38 | relearn | 1 | 69583 | 4 | 5.720 | 12164.9 |
| 409 | 2024-12-12 06:01:58 | relearn | 1 | 69583 | 4 | 1.313 | 52995.4 |
| 408 | 2024-12-06 00:13:36 | relearn | 1 | 69583 | 4 | 2.670 | 26061.0 |
| 407 | 2024-10-31 09:38:45 | relearn | 1 | 69583 | 4 | 3.016 | 23071.3 |
| 406 | 2024-10-28 15:30:25 | relearn | 1 | 69583 | 4 | 5.986 | 11624.3 |
| 405 | 2024-10-12 18:05:09 | relearn | 3 | 134027 | 200 | 40.600 | 3301.2 |