History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecastle"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 477 | 2025-10-28 16:48:42 | forecastle | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 476 | 2025-10-27 00:50:26 | forecastle | 5 | 173545 | 599 | 18.206 | 9532.3 |
| 475 | 2025-10-26 21:52:22 | forecastle | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 474 | 2025-09-21 20:36:13 | forecastle | 4 | 161450 | 76 | 13.123 | 12302.8 |
| 473 | 2025-09-18 12:33:02 | forecastle | 3 | 140603 | 18 | 5.826 | 24133.7 |
| 472 | 2025-09-08 15:38:08 | forecastle | 2 | 108824 | 8 | 2.956 | 36814.6 |
| 471 | 2025-08-26 16:03:04 | forecastle | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 470 | 2025-08-25 08:13:46 | forecastle | 1 | 67641 | 2 | 3.906 | 17317.2 |
| 469 | 2025-08-16 23:34:54 | forecastle | 1 | 67641 | 2 | 3.796 | 17819.0 |
| 468 | 2025-08-15 03:05:45 | forecastle | 1 | 67641 | 2 | 5.033 | 13439.5 |
| 467 | 2025-08-09 14:44:21 | forecastle | 1 | 67641 | 2 | 2.390 | 28301.7 |
| 466 | 2025-08-09 10:00:46 | forecastle | 1 | 67641 | 2 | 4.563 | 14823.8 |
| 465 | 2025-07-25 10:35:20 | forecastle | 1 | 67641 | 2 | 2.813 | 24045.9 |
| 464 | 2025-07-24 04:08:34 | forecastle | 1 | 67641 | 2 | 8.300 | 8149.5 |
| 463 | 2025-07-13 10:29:28 | forecastle | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 462 | 2025-07-10 20:24:46 | forecastle | 3 | 140603 | 18 | 36.596 | 3842.0 |
| 461 | 2025-07-10 06:30:06 | forecastle | 2 | 108824 | 8 | 16.920 | 6431.7 |
| 460 | 2025-07-09 14:45:26 | forecastle | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 459 | 2025-06-28 09:51:40 | forecastle | 1 | 67641 | 2 | 2.623 | 25787.6 |
| 458 | 2025-06-20 20:27:51 | forecastle | 1 | 67641 | 2 | 5.093 | 13281.2 |
| 457 | 2025-05-31 21:41:23 | forecastle | 1 | 67641 | 2 | 8.170 | 8279.2 |
| 456 | 2025-05-26 11:40:42 | forecastle | 1 | 67641 | 2 | 5.390 | 12549.4 |
| 455 | 2025-05-26 07:24:02 | forecastle | 3 | 140603 | 18 | 31.046 | 4528.9 |
| 454 | 2025-05-24 16:05:29 | forecastle | 3 | 140603 | 18 | 19.766 | 7113.4 |
| 453 | 2025-05-24 10:41:20 | forecastle | 2 | 108824 | 8 | 8.733 | 12461.2 |
| 452 | 2025-05-16 18:51:55 | forecastle | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 451 | 2025-05-10 18:31:05 | forecastle | 1 | 67641 | 2 | 5.436 | 12443.2 |
| 450 | 2025-05-08 00:19:24 | forecastle | 4 | 161450 | 76 | 62.550 | 2581.1 |
| 449 | 2025-05-06 19:55:44 | forecastle | 4 | 161450 | 76 | 12.736 | 12676.7 |
| 448 | 2025-04-23 09:32:52 | forecastle | 1 | 67641 | 2 | 8.170 | 8279.2 |
| 447 | 2025-04-23 01:07:03 | forecastle | 1 | 67641 | 2 | 2.856 | 23683.8 |
| 446 | 2025-04-21 09:28:47 | forecastle | 4 | 161450 | 76 | 59.206 | 2726.9 |
| 445 | 2025-04-18 08:03:44 | forecastle | 1 | 67641 | 2 | 5.640 | 11993.1 |
| 444 | 2025-04-17 14:11:30 | forecastle | 4 | 161450 | 76 | 43.863 | 3680.8 |
| 443 | 2025-04-14 12:08:52 | forecastle | 4 | 161450 | 76 | 52.706 | 3063.2 |
| 442 | 2025-04-10 20:30:10 | forecastle | 4 | 161450 | 76 | 39.286 | 4109.6 |
| 441 | 2025-03-23 17:53:14 | forecastle | 1 | 67641 | 2 | 2.753 | 24569.9 |
| 440 | 2025-03-23 12:46:36 | forecastle | 2 | 108824 | 8 | 13.956 | 7797.6 |
| 439 | 2025-03-23 11:49:42 | forecastle | 2 | 108824 | 8 | 14.640 | 7433.3 |
| 438 | 2025-03-22 11:21:11 | forecastle | 1 | 67641 | 2 | 5.186 | 13043.0 |
| 437 | 2025-03-21 01:43:04 | forecastle | 1 | 67641 | 2 | 5.796 | 11670.3 |
| 436 | 2025-03-20 12:38:04 | forecastle | 3 | 140603 | 18 | 19.723 | 7128.9 |
| 435 | 2025-03-15 14:00:27 | forecastle | 3 | 140603 | 18 | 32.236 | 4361.7 |
| 434 | 2025-03-15 14:00:23 | forecastle | 2 | 108824 | 8 | 13.713 | 7935.8 |
| 433 | 2025-03-15 13:56:33 | forecastle | 1 | 67641 | 2 | 3.813 | 17739.6 |
| 432 | 2025-03-15 03:56:48 | forecastle | 1 | 67641 | 2 | 5.250 | 12884.0 |
| 431 | 2025-03-13 01:46:34 | forecastle | 4 | 161450 | 76 | 68.363 | 2361.7 |
| 430 | 2025-03-13 01:46:33 | forecastle | 3 | 140603 | 18 | 42.393 | 3316.7 |
| 429 | 2025-03-13 01:46:31 | forecastle | 2 | 108824 | 8 | 16.296 | 6678.0 |
| 428 | 2025-02-26 11:54:04 | forecastle | 3 | 140603 | 18 | 25.410 | 5533.4 |
| 427 | 2025-02-22 06:40:54 | forecastle | 3 | 140603 | 18 | 33.176 | 4238.1 |
| 426 | 2025-02-19 17:48:54 | forecastle | 3 | 140603 | 18 | 31.313 | 4490.2 |
| 425 | 2025-02-19 17:48:51 | forecastle | 2 | 108824 | 8 | 16.000 | 6801.5 |
| 424 | 2025-02-19 17:47:38 | forecastle | 1 | 67641 | 2 | 5.030 | 13447.5 |
| 423 | 2025-02-18 11:43:08 | forecastle | 4 | 161450 | 76 | 58.676 | 2751.6 |
| 422 | 2025-02-10 14:41:07 | forecastle | 4 | 161450 | 76 | 68.003 | 2374.2 |
| 421 | 2025-02-09 00:42:07 | forecastle | 4 | 161450 | 76 | 62.080 | 2600.7 |
| 420 | 2025-02-09 00:39:39 | forecastle | 4 | 161450 | 76 | 68.536 | 2355.7 |
| 419 | 2025-02-09 00:24:01 | forecastle | 1 | 67641 | 2 | 5.356 | 12629.0 |
| 418 | 2025-02-04 01:25:03 | forecastle | 1 | 67641 | 2 | 2.873 | 23543.7 |
| 417 | 2025-01-18 23:20:19 | forecastle | 2 | 108824 | 8 | 12.143 | 8961.9 |
| 416 | 2025-01-18 22:58:11 | forecastle | 3 | 140603 | 18 | 23.753 | 5919.4 |
| 415 | 2025-01-18 22:58:04 | forecastle | 3 | 140603 | 18 | 26.610 | 5283.8 |
| 414 | 2025-01-18 22:57:10 | forecastle | 1 | 67641 | 2 | 1.920 | 35229.7 |
| 413 | 2025-01-18 11:19:30 | forecastle | 2 | 108824 | 8 | 17.360 | 6268.7 |
| 412 | 2025-01-16 21:10:11 | forecastle | 3 | 140603 | 18 | 34.050 | 4129.3 |
| 411 | 2025-01-16 21:09:52 | forecastle | 3 | 140603 | 18 | 29.580 | 4753.3 |
| 410 | 2025-01-16 21:10:01 | forecastle | 2 | 108824 | 8 | 18.736 | 5808.3 |
| 409 | 2025-01-16 21:09:50 | forecastle | 3 | 140603 | 18 | 23.720 | 5927.6 |
| 408 | 2025-01-16 21:08:46 | forecastle | 1 | 67641 | 2 | 5.376 | 12582.0 |
| 407 | 2025-01-16 13:40:29 | forecastle | 3 | 140603 | 18 | 36.096 | 3895.3 |
| 406 | 2025-01-08 07:37:58 | forecastle | 1 | 67641 | 2 | 5.390 | 12549.4 |
| 405 | 2024-12-22 19:19:55 | forecastle | 1 | 67641 | 2 | 6.093 | 11101.4 |
| 404 | 2024-12-17 09:03:20 | forecastle | 2 | 108824 | 8 | 15.813 | 6881.9 |
| 403 | 2024-12-17 09:02:06 | forecastle | 3 | 140603 | 18 | 41.516 | 3386.7 |
| 402 | 2024-12-17 09:02:11 | forecastle | 3 | 140603 | 18 | 33.703 | 4171.8 |
| 401 | 2024-12-17 08:57:35 | forecastle | 1 | 67641 | 2 | 7.876 | 8588.2 |
| 400 | 2024-11-29 13:27:59 | forecastle | 1 | 67641 | 2 | 2.550 | 26525.9 |
| 399 | 2024-11-27 22:18:15 | forecastle | 1 | 67641 | 2 | 2.670 | 25333.7 |
| 398 | 2024-11-26 22:35:09 | forecastle | 3 | 140603 | 18 | 35.033 | 4013.4 |
| 397 | 2024-11-19 01:33:17 | forecastle | 3 | 140603 | 18 | 40.690 | 3455.5 |
| 396 | 2024-11-19 01:33:12 | forecastle | 3 | 140603 | 18 | 33.736 | 4167.7 |
| 395 | 2024-11-19 01:33:22 | forecastle | 2 | 108824 | 8 | 12.933 | 8414.4 |
| 394 | 2024-11-19 01:33:07 | forecastle | 3 | 140603 | 18 | 25.943 | 5419.7 |
| 393 | 2024-11-19 01:29:55 | forecastle | 1 | 67641 | 2 | 2.843 | 23792.1 |
| 392 | 2024-11-16 22:24:19 | forecastle | 1 | 67641 | 2 | 8.123 | 8327.1 |
| 391 | 2024-11-05 06:35:16 | forecastle | 2 | 108824 | 8 | 14.656 | 7425.2 |
| 390 | 2024-10-30 00:48:00 | forecastle | 3 | 140603 | 18 | 32.673 | 4303.3 |
| 389 | 2024-10-30 00:47:59 | forecastle | 3 | 140603 | 18 | 27.520 | 5109.1 |
| 388 | 2024-10-30 00:48:01 | forecastle | 2 | 108824 | 8 | 16.736 | 6502.4 |
| 387 | 2024-10-26 17:21:48 | forecastle | 3 | 140603 | 18 | 33.833 | 4155.8 |
| 386 | 2024-10-24 21:42:33 | forecastle | 1 | 67641 | 2 | 3.500 | 19326.0 |
| 385 | 2024-10-24 01:14:42 | forecastle | 3 | 140603 | 18 | 33.580 | 4187.1 |
| 384 | 2024-10-24 00:07:09 | forecastle | 3 | 140603 | 18 | 35.626 | 3946.6 |
| 383 | 2024-10-24 00:07:12 | forecastle | 2 | 108824 | 8 | 16.516 | 6589.0 |
| 382 | 2024-10-24 00:05:18 | forecastle | 3 | 140603 | 18 | 33.816 | 4157.9 |
| 381 | 2024-10-24 00:01:26 | forecastle | 1 | 67641 | 2 | 4.783 | 14142.0 |
| 380 | 2024-10-23 15:02:56 | forecastle | 1 | 67641 | 2 | 7.093 | 9536.3 |
| 379 | 2024-10-15 16:59:53 | forecastle | 2 | 108824 | 8 | 17.450 | 6236.3 |
| 378 | 2024-10-15 16:54:36 | forecastle | 1 | 67641 | 2 | 1.093 | 61885.6 |