History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecasting"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 531 | 2025-12-17 16:45:28 | forecasting | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 530 | 2025-12-13 04:17:06 | forecasting | 4 | 148819 | 199 | 32.223 | 4618.4 |
| 529 | 2025-12-11 09:41:42 | forecasting | 4 | 148819 | 199 | 9.596 | 15508.4 |
| 528 | 2025-12-11 02:37:22 | forecasting | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 527 | 2025-12-10 16:17:00 | forecasting | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 526 | 2025-12-09 16:05:50 | forecasting | 2 | 86808 | 6 | 2.390 | 36321.3 |
| 525 | 2025-12-08 17:42:17 | forecasting | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 524 | 2025-12-08 06:49:03 | forecasting | 3 | 121633 | 31 | 8.296 | 14661.6 |
| 523 | 2025-12-05 10:07:45 | forecasting | 3 | 121633 | 31 | 6.466 | 18811.2 |
| 522 | 2025-12-02 01:53:15 | forecasting | 2 | 86808 | 6 | 2.530 | 34311.5 |
| 521 | 2025-12-02 00:49:31 | forecasting | 1 | 49908 | 2 | 1.296 | 38509.3 |
| 520 | 2025-11-30 18:53:45 | forecasting | 4 | 148819 | 199 | 11.126 | 13375.8 |
| 519 | 2025-11-30 02:17:57 | forecasting | 4 | 148819 | 199 | 9.670 | 15389.8 |
| 518 | 2025-11-30 00:12:01 | forecasting | 1 | 49908 | 2 | 3.893 | 12819.9 |
| 517 | 2025-11-29 00:43:56 | forecasting | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 516 | 2025-11-28 17:36:22 | forecasting | 3 | 121633 | 31 | 4.906 | 24792.7 |
| 515 | 2025-11-28 06:28:31 | forecasting | 2 | 86808 | 6 | 2.453 | 35388.5 |
| 514 | 2025-11-28 00:57:49 | forecasting | 2 | 86808 | 6 | 5.093 | 17044.6 |
| 513 | 2025-11-27 06:55:02 | forecasting | 3 | 121633 | 31 | 5.266 | 23097.8 |
| 512 | 2025-11-27 02:56:11 | forecasting | 4 | 148819 | 199 | 17.280 | 8612.2 |
| 511 | 2025-11-27 00:28:29 | forecasting | 2 | 86808 | 6 | 4.846 | 17913.3 |
| 510 | 2025-11-25 15:14:55 | forecasting | 3 | 121633 | 31 | 5.153 | 23604.3 |
| 509 | 2025-11-25 02:33:07 | forecasting | 4 | 148819 | 199 | 47.956 | 3103.2 |
| 508 | 2025-11-25 02:21:34 | forecasting | 3 | 121633 | 31 | 6.610 | 18401.4 |
| 507 | 2025-11-24 19:58:18 | forecasting | 2 | 86808 | 6 | 12.216 | 7106.1 |
| 506 | 2025-11-24 02:38:31 | forecasting | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 505 | 2025-11-23 02:35:14 | forecasting | 2 | 86808 | 6 | 2.546 | 34095.8 |
| 504 | 2025-11-22 21:16:06 | forecasting | 2 | 86808 | 6 | 6.546 | 13261.2 |
| 503 | 2025-11-20 13:24:32 | forecasting | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 502 | 2025-11-19 21:21:40 | forecasting | 4 | 148819 | 199 | 20.373 | 7304.7 |
| 501 | 2025-11-17 02:08:54 | forecasting | 4 | 148819 | 199 | 12.423 | 11979.3 |
| 500 | 2025-11-16 23:04:13 | forecasting | 4 | 148819 | 199 | 14.546 | 10230.9 |
| 499 | 2025-11-14 12:53:12 | forecasting | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 498 | 2025-11-13 19:43:59 | forecasting | 4 | 148819 | 199 | 8.783 | 16944.0 |
| 497 | 2025-11-12 20:10:47 | forecasting | 4 | 148819 | 199 | 10.030 | 14837.4 |
| 496 | 2025-11-12 14:52:38 | forecasting | 3 | 121633 | 31 | 5.263 | 23111.0 |
| 495 | 2025-11-11 02:15:55 | forecasting | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 494 | 2025-11-10 02:59:01 | forecasting | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 493 | 2025-11-09 15:41:08 | forecasting | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 492 | 2025-11-03 12:51:54 | forecasting | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 491 | 2025-10-31 05:24:14 | forecasting | 2 | 86808 | 6 | 2.436 | 35635.5 |
| 490 | 2025-10-30 01:25:31 | forecasting | 1 | 49908 | 2 | 1.466 | 34043.7 |
| 489 | 2025-10-29 18:41:53 | forecasting | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 488 | 2025-10-29 17:12:52 | forecasting | 3 | 121633 | 31 | 5.626 | 21619.8 |
| 487 | 2025-10-29 12:28:45 | forecasting | 2 | 86808 | 6 | 2.470 | 35144.9 |
| 486 | 2025-10-27 22:25:12 | forecasting | 4 | 148819 | 199 | 10.860 | 13703.4 |
| 485 | 2025-10-27 06:57:13 | forecasting | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 484 | 2025-10-27 02:12:16 | forecasting | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 483 | 2025-10-26 22:17:50 | forecasting | 2 | 86808 | 6 | 2.360 | 36783.1 |
| 482 | 2025-10-26 18:51:35 | forecasting | 4 | 148819 | 199 | 13.046 | 11407.3 |
| 481 | 2025-10-26 17:13:30 | forecasting | 4 | 148819 | 199 | 8.703 | 17099.7 |
| 480 | 2025-10-26 08:09:35 | forecasting | 3 | 121633 | 31 | 5.140 | 23664.0 |
| 479 | 2025-10-26 04:17:06 | forecasting | 3 | 121633 | 31 | 5.813 | 20924.3 |
| 478 | 2025-10-26 02:33:05 | forecasting | 2 | 86808 | 6 | 2.593 | 33477.8 |
| 477 | 2025-10-26 01:38:46 | forecasting | 2 | 86808 | 6 | 2.563 | 33869.7 |
| 476 | 2025-10-25 14:24:24 | forecasting | 3 | 121633 | 31 | 5.156 | 23590.6 |
| 475 | 2025-10-25 03:31:10 | forecasting | 4 | 148819 | 199 | 9.846 | 15114.7 |
| 474 | 2025-10-24 20:52:48 | forecasting | 2 | 86808 | 6 | 2.546 | 34095.8 |
| 473 | 2025-10-24 03:45:52 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 472 | 2025-10-23 17:43:37 | forecasting | 1 | 49908 | 2 | 2.750 | 18148.4 |
| 471 | 2025-10-23 04:31:15 | forecasting | 4 | 148819 | 199 | 33.626 | 4425.7 |
| 470 | 2025-10-23 02:26:24 | forecasting | 4 | 148819 | 199 | 9.436 | 15771.4 |
| 469 | 2025-10-22 21:29:18 | forecasting | 2 | 86808 | 6 | 6.483 | 13390.1 |
| 468 | 2025-10-17 00:07:55 | forecasting | 4 | 148819 | 199 | 11.140 | 13359.0 |
| 467 | 2025-10-16 10:43:27 | forecasting | 4 | 148819 | 199 | 8.796 | 16918.9 |
| 466 | 2025-10-11 21:06:08 | forecasting | 2 | 86808 | 6 | 2.546 | 34095.8 |
| 465 | 2025-10-11 03:07:50 | forecasting | 1 | 49908 | 2 | 1.470 | 33951.0 |
| 464 | 2025-10-10 04:09:25 | forecasting | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 463 | 2025-10-09 18:07:18 | forecasting | 1 | 49908 | 2 | 0.846 | 58992.9 |
| 462 | 2025-10-04 05:20:45 | forecasting | 4 | 148819 | 199 | 9.170 | 16228.9 |
| 461 | 2025-10-04 04:01:18 | forecasting | 3 | 121633 | 31 | 4.690 | 25934.5 |
| 460 | 2025-09-29 18:32:47 | forecasting | 3 | 121633 | 31 | 4.906 | 24792.7 |
| 459 | 2025-09-29 01:25:42 | forecasting | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 458 | 2025-09-28 20:35:17 | forecasting | 3 | 121633 | 31 | 5.046 | 24104.8 |
| 457 | 2025-09-27 22:02:44 | forecasting | 4 | 148819 | 199 | 9.643 | 15432.9 |
| 456 | 2025-09-27 13:00:54 | forecasting | 3 | 121633 | 31 | 4.846 | 25099.7 |
| 455 | 2025-09-26 10:13:08 | forecasting | 4 | 148819 | 199 | 10.593 | 14048.8 |
| 454 | 2025-09-24 03:21:06 | forecasting | 4 | 148819 | 199 | 9.423 | 15793.2 |
| 453 | 2025-09-24 02:13:32 | forecasting | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 452 | 2025-09-23 22:12:40 | forecasting | 2 | 86808 | 6 | 2.140 | 40564.5 |
| 451 | 2025-09-23 21:45:26 | forecasting | 4 | 148819 | 199 | 9.610 | 15485.8 |
| 450 | 2025-09-23 21:44:46 | forecasting | 4 | 148819 | 199 | 10.106 | 14725.8 |
| 449 | 2025-09-23 04:23:33 | forecasting | 3 | 121633 | 31 | 5.470 | 22236.4 |
| 448 | 2025-09-23 03:45:04 | forecasting | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 447 | 2025-09-23 03:27:57 | forecasting | 4 | 148819 | 199 | 9.766 | 15238.5 |
| 446 | 2025-09-23 00:29:44 | forecasting | 4 | 148819 | 199 | 11.703 | 12716.3 |
| 445 | 2025-09-22 20:43:05 | forecasting | 2 | 86808 | 6 | 2.093 | 41475.4 |
| 444 | 2025-09-22 17:28:40 | forecasting | 2 | 86808 | 6 | 2.483 | 34960.9 |
| 443 | 2025-09-22 14:35:32 | forecasting | 3 | 121633 | 31 | 5.560 | 21876.4 |
| 442 | 2025-09-20 20:02:10 | forecasting | 3 | 121633 | 31 | 13.453 | 9041.3 |
| 441 | 2025-09-20 13:59:04 | forecasting | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 440 | 2025-09-20 07:52:23 | forecasting | 3 | 121633 | 31 | 5.513 | 22062.9 |
| 439 | 2025-09-19 18:37:04 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 438 | 2025-09-19 12:39:00 | forecasting | 2 | 86808 | 6 | 2.563 | 33869.7 |
| 437 | 2025-09-17 09:59:57 | forecasting | 2 | 86808 | 6 | 2.440 | 35577.0 |
| 436 | 2025-09-15 23:56:41 | forecasting | 4 | 148819 | 199 | 9.390 | 15848.7 |
| 435 | 2025-09-15 17:17:17 | forecasting | 4 | 148819 | 199 | 9.563 | 15562.0 |
| 434 | 2025-09-15 14:13:10 | forecasting | 2 | 86808 | 6 | 2.326 | 37320.7 |
| 433 | 2025-09-13 20:37:54 | forecasting | 3 | 121633 | 31 | 5.623 | 21631.3 |
| 432 | 2025-09-12 09:59:42 | forecasting | 2 | 86808 | 6 | 2.500 | 34723.2 |