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 |
| 587 | 2026-04-21 10:16:50 | forecasting | 1 | 49908 | 2 | 1.186 | 42080.9 |
| 586 | 2026-04-17 20:36:36 | forecasting | 2 | 86808 | 6 | 3.280 | 26465.9 |
| 585 | 2026-04-10 18:58:20 | forecasting | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 584 | 2026-04-09 14:12:56 | forecasting | 2 | 86808 | 6 | 2.610 | 33259.8 |
| 583 | 2026-04-08 08:08:59 | forecasting | 3 | 121633 | 31 | 14.046 | 8659.6 |
| 582 | 2026-04-08 08:08:13 | forecasting | 3 | 121633 | 31 | 25.050 | 4855.6 |
| 581 | 2026-04-07 09:54:57 | forecasting | 2 | 86808 | 6 | 2.483 | 34960.9 |
| 580 | 2026-04-06 16:42:00 | forecasting | 1 | 49908 | 2 | 1.296 | 38509.3 |
| 579 | 2026-04-05 06:34:28 | forecasting | 1 | 49908 | 2 | 2.890 | 17269.2 |
| 578 | 2026-04-01 06:50:01 | forecasting | 1 | 49908 | 2 | 4.923 | 10137.7 |
| 577 | 2026-03-31 20:10:40 | forecasting | 1 | 49908 | 2 | 3.610 | 13824.9 |
| 576 | 2026-03-31 19:25:43 | forecasting | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 575 | 2026-03-31 05:17:11 | forecasting | 1 | 49908 | 2 | 4.123 | 12104.8 |
| 574 | 2026-03-29 09:33:53 | forecasting | 1 | 49908 | 2 | 0.846 | 58992.9 |
| 573 | 2026-03-24 19:59:56 | forecasting | 4 | 148819 | 199 | 33.000 | 4509.7 |
| 572 | 2026-03-24 19:59:16 | forecasting | 4 | 148819 | 199 | 45.470 | 3272.9 |
| 571 | 2026-03-22 13:11:04 | forecasting | 3 | 121633 | 31 | 24.126 | 5041.6 |
| 570 | 2026-03-16 13:24:16 | forecasting | 1 | 49908 | 2 | 5.720 | 8725.2 |
| 569 | 2026-03-15 07:39:24 | forecasting | 3 | 121633 | 31 | 20.466 | 5943.2 |
| 568 | 2026-03-11 18:42:39 | forecasting | 4 | 148819 | 199 | 10.063 | 14788.7 |
| 567 | 2026-03-10 06:15:36 | forecasting | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 566 | 2026-03-09 23:36:14 | forecasting | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 565 | 2026-03-09 20:36:58 | forecasting | 4 | 148819 | 199 | 10.063 | 14788.7 |
| 564 | 2026-03-09 11:26:52 | forecasting | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 563 | 2026-03-09 04:56:00 | forecasting | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 562 | 2026-02-28 09:50:54 | forecasting | 4 | 148819 | 199 | 11.593 | 12837.0 |
| 561 | 2026-02-24 16:28:34 | forecasting | 2 | 86808 | 6 | 2.516 | 34502.4 |
| 560 | 2026-02-19 20:06:21 | forecasting | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 559 | 2026-02-11 21:29:20 | forecasting | 2 | 86808 | 6 | 11.796 | 7359.1 |
| 558 | 2026-02-11 02:24:33 | forecasting | 2 | 86808 | 6 | 2.373 | 36581.5 |
| 557 | 2026-02-10 17:06:15 | forecasting | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 556 | 2026-02-10 16:50:58 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 555 | 2026-02-10 01:18:54 | forecasting | 3 | 121633 | 31 | 24.970 | 4871.2 |
| 554 | 2026-02-09 10:02:35 | forecasting | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 553 | 2026-02-08 09:46:30 | forecasting | 3 | 121633 | 31 | 5.546 | 21931.7 |
| 552 | 2026-02-08 06:32:16 | forecasting | 4 | 148819 | 199 | 50.940 | 2921.5 |
| 551 | 2026-02-06 23:19:15 | forecasting | 3 | 121633 | 31 | 5.626 | 21619.8 |
| 550 | 2026-02-02 14:49:05 | forecasting | 3 | 121633 | 31 | 4.843 | 25115.2 |
| 549 | 2026-02-01 08:08:05 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 548 | 2026-01-30 14:30:47 | forecasting | 3 | 121633 | 31 | 5.406 | 22499.6 |
| 547 | 2026-01-23 00:20:42 | forecasting | 3 | 121633 | 31 | 29.676 | 4098.7 |
| 546 | 2026-01-22 15:56:42 | forecasting | 1 | 49908 | 2 | 4.263 | 11707.2 |
| 545 | 2026-01-22 11:30:06 | forecasting | 4 | 148819 | 199 | 51.080 | 2913.4 |
| 544 | 2026-01-22 04:59:01 | forecasting | 4 | 148819 | 199 | 16.546 | 8994.3 |
| 543 | 2026-01-21 20:49:30 | forecasting | 4 | 148819 | 199 | 15.703 | 9477.1 |
| 542 | 2026-01-21 15:05:26 | forecasting | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 541 | 2026-01-21 14:30:44 | forecasting | 4 | 148819 | 199 | 23.786 | 6256.6 |
| 540 | 2026-01-21 09:22:54 | forecasting | 4 | 148819 | 199 | 8.796 | 16918.9 |
| 539 | 2026-01-20 15:45:16 | forecasting | 4 | 148819 | 199 | 9.516 | 15638.8 |
| 538 | 2026-01-17 14:33:30 | forecasting | 4 | 148819 | 199 | 13.343 | 11153.3 |
| 537 | 2026-01-16 21:46:52 | forecasting | 2 | 86808 | 6 | 5.436 | 15969.1 |
| 536 | 2026-01-13 08:48:22 | forecasting | 2 | 86808 | 6 | 2.423 | 35826.7 |
| 535 | 2026-01-11 02:47:59 | forecasting | 4 | 148819 | 199 | 8.986 | 16561.2 |
| 534 | 2026-01-08 18:29:45 | forecasting | 2 | 86808 | 6 | 2.903 | 29902.9 |
| 533 | 2026-01-06 10:53:33 | forecasting | 2 | 86808 | 6 | 10.546 | 8231.4 |
| 532 | 2025-12-24 10:15:12 | forecasting | 1 | 49908 | 2 | 3.906 | 12777.3 |
| 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 |