History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsamples"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 484 | 2025-08-22 20:34:45 | subsamples | 1 | 67641 | 3 | 5.860 | 11542.8 |
| 483 | 2025-08-11 14:13:17 | subsamples | 4 | 161450 | 84 | 50.816 | 3177.1 |
| 482 | 2025-08-10 06:34:28 | subsamples | 4 | 161450 | 84 | 41.953 | 3848.4 |
| 481 | 2025-08-09 01:55:18 | subsamples | 1 | 67641 | 3 | 7.406 | 9133.3 |
| 480 | 2025-08-05 18:03:19 | subsamples | 4 | 161450 | 84 | 38.440 | 4200.1 |
| 479 | 2025-08-05 14:59:38 | subsamples | 1 | 67641 | 3 | 2.296 | 29460.4 |
| 478 | 2025-08-05 13:55:58 | subsamples | 4 | 161450 | 84 | 27.140 | 5948.8 |
| 477 | 2025-08-03 14:01:56 | subsamples | 4 | 161450 | 84 | 40.140 | 4022.2 |
| 476 | 2025-07-31 01:44:46 | subsamples | 4 | 161450 | 84 | 9.466 | 17055.8 |
| 475 | 2025-07-11 16:23:42 | subsamples | 1 | 67641 | 3 | 5.640 | 11993.1 |
| 474 | 2025-06-26 00:48:41 | subsamples | 1 | 67641 | 3 | 5.483 | 12336.5 |
| 473 | 2025-06-13 20:59:54 | subsamples | 1 | 67641 | 3 | 6.690 | 10110.8 |
| 472 | 2025-05-29 19:53:13 | subsamples | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 471 | 2025-05-08 19:38:50 | subsamples | 1 | 67641 | 3 | 8.766 | 7716.3 |
| 470 | 2025-03-31 13:06:08 | subsamples | 1 | 67641 | 3 | 5.610 | 12057.2 |
| 469 | 2025-03-29 02:35:58 | subsamples | 1 | 67641 | 3 | 3.563 | 18984.3 |
| 468 | 2025-03-23 12:08:29 | subsamples | 4 | 161450 | 84 | 58.876 | 2742.2 |
| 467 | 2025-03-21 00:11:46 | subsamples | 1 | 67641 | 3 | 2.703 | 25024.4 |
| 466 | 2025-03-16 23:44:05 | subsamples | 4 | 161450 | 84 | 58.416 | 2763.8 |
| 465 | 2025-03-16 04:44:00 | subsamples | 4 | 161450 | 84 | 42.016 | 3842.6 |
| 464 | 2025-03-13 06:01:49 | subsamples | 4 | 161450 | 84 | 52.596 | 3069.6 |
| 463 | 2025-03-07 01:36:50 | subsamples | 3 | 140603 | 13 | 18.893 | 7442.1 |
| 462 | 2025-03-07 01:36:38 | subsamples | 2 | 108824 | 4 | 24.203 | 4496.3 |
| 461 | 2025-03-07 00:47:05 | subsamples | 1 | 67641 | 3 | 5.423 | 12473.0 |
| 460 | 2025-02-25 03:58:00 | subsamples | 4 | 161450 | 84 | 46.703 | 3457.0 |
| 459 | 2025-02-25 03:58:07 | subsamples | 3 | 140603 | 13 | 24.986 | 5627.3 |
| 458 | 2025-02-25 03:58:06 | subsamples | 2 | 108824 | 4 | 14.763 | 7371.4 |
| 457 | 2025-02-25 03:55:31 | subsamples | 1 | 67641 | 3 | 5.503 | 12291.7 |
| 456 | 2025-02-24 06:39:46 | subsamples | 1 | 67641 | 3 | 5.546 | 12196.4 |
| 455 | 2025-02-20 03:30:34 | subsamples | 4 | 161450 | 84 | 68.723 | 2349.3 |
| 454 | 2025-02-20 03:30:50 | subsamples | 2 | 108824 | 4 | 7.406 | 14694.0 |
| 453 | 2025-02-20 03:25:57 | subsamples | 1 | 67641 | 3 | 4.656 | 14527.7 |
| 452 | 2025-02-01 04:45:57 | subsamples | 4 | 161450 | 84 | 55.766 | 2895.1 |
| 451 | 2025-01-30 16:09:14 | subsamples | 4 | 161450 | 84 | 50.540 | 3194.5 |
| 450 | 2025-01-29 06:12:11 | subsamples | 2 | 108824 | 4 | 20.876 | 5212.9 |
| 449 | 2025-01-29 06:12:04 | subsamples | 3 | 140603 | 13 | 23.016 | 6108.9 |
| 448 | 2025-01-29 06:08:22 | subsamples | 1 | 67641 | 3 | 3.860 | 17523.6 |
| 447 | 2025-01-26 20:43:20 | subsamples | 3 | 140603 | 13 | 40.750 | 3450.4 |
| 446 | 2025-01-26 20:43:15 | subsamples | 4 | 161450 | 84 | 35.456 | 4553.5 |
| 445 | 2025-01-26 20:43:18 | subsamples | 2 | 108824 | 4 | 7.686 | 14158.7 |
| 444 | 2025-01-24 04:37:32 | subsamples | 1 | 67641 | 3 | 5.576 | 12130.7 |
| 443 | 2025-01-01 11:06:13 | subsamples | 3 | 140603 | 13 | 29.296 | 4799.4 |
| 442 | 2025-01-01 11:06:14 | subsamples | 2 | 108824 | 4 | 15.360 | 7084.9 |
| 441 | 2025-01-01 11:05:15 | subsamples | 4 | 161450 | 84 | 45.580 | 3542.1 |
| 440 | 2025-01-01 11:04:04 | subsamples | 1 | 67641 | 3 | 6.593 | 10259.5 |
| 439 | 2024-12-31 14:12:25 | subsamples | 4 | 161450 | 84 | 49.803 | 3241.8 |
| 438 | 2024-12-30 10:14:44 | subsamples | 4 | 161450 | 84 | 21.553 | 7490.8 |
| 437 | 2024-12-26 05:34:21 | subsamples | 3 | 140603 | 13 | 15.893 | 8846.9 |
| 436 | 2024-12-25 02:15:48 | subsamples | 3 | 140603 | 13 | 22.936 | 6130.2 |
| 435 | 2024-12-25 02:15:52 | subsamples | 2 | 108824 | 4 | 7.610 | 14300.1 |
| 434 | 2024-12-25 00:15:31 | subsamples | 1 | 67641 | 3 | 5.420 | 12479.9 |
| 433 | 2024-12-22 02:54:25 | subsamples | 3 | 140603 | 13 | 30.360 | 4631.2 |
| 432 | 2024-12-22 02:54:06 | subsamples | 3 | 140603 | 13 | 29.953 | 4694.1 |
| 431 | 2024-12-22 02:54:15 | subsamples | 2 | 108824 | 4 | 13.640 | 7978.3 |
| 430 | 2024-12-22 02:53:52 | subsamples | 3 | 140603 | 13 | 31.360 | 4483.5 |
| 429 | 2024-12-22 02:53:09 | subsamples | 1 | 67641 | 3 | 5.643 | 11986.7 |
| 428 | 2024-12-21 21:17:45 | subsamples | 3 | 140603 | 13 | 34.030 | 4131.7 |
| 427 | 2024-12-21 21:17:47 | subsamples | 2 | 108824 | 4 | 15.546 | 7000.1 |
| 426 | 2024-12-21 21:17:31 | subsamples | 3 | 140603 | 13 | 25.830 | 5443.4 |
| 425 | 2024-12-21 01:37:35 | subsamples | 1 | 67641 | 3 | 5.640 | 11993.1 |
| 424 | 2024-11-25 11:57:58 | subsamples | 3 | 140603 | 13 | 34.423 | 4084.6 |
| 423 | 2024-11-24 15:46:01 | subsamples | 1 | 67641 | 3 | 8.296 | 8153.4 |
| 422 | 2024-11-23 13:09:32 | subsamples | 3 | 140603 | 13 | 51.096 | 2751.7 |
| 421 | 2024-11-19 12:44:33 | subsamples | 3 | 140603 | 13 | 38.550 | 3647.3 |
| 420 | 2024-11-19 12:44:35 | subsamples | 2 | 108824 | 4 | 11.703 | 9298.8 |
| 419 | 2024-11-19 12:10:18 | subsamples | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 418 | 2024-11-18 10:33:54 | subsamples | 4 | 161450 | 84 | 92.486 | 1745.7 |
| 417 | 2024-11-18 04:59:03 | subsamples | 4 | 161450 | 84 | 67.406 | 2395.2 |
| 416 | 2024-11-17 05:58:43 | subsamples | 3 | 140603 | 13 | 27.766 | 5063.9 |
| 415 | 2024-11-17 05:52:19 | subsamples | 4 | 161450 | 84 | 62.050 | 2601.9 |
| 414 | 2024-11-17 05:52:47 | subsamples | 3 | 140603 | 13 | 32.826 | 4283.3 |
| 413 | 2024-11-17 05:52:52 | subsamples | 2 | 108824 | 4 | 13.826 | 7871.0 |
| 412 | 2024-11-17 05:51:54 | subsamples | 4 | 161450 | 84 | 59.313 | 2722.0 |
| 411 | 2024-11-17 05:51:32 | subsamples | 1 | 67641 | 3 | 5.343 | 12659.7 |
| 410 | 2024-11-04 06:14:42 | subsamples | 3 | 140603 | 13 | 15.156 | 9277.1 |
| 409 | 2024-10-31 23:25:19 | subsamples | 1 | 67641 | 3 | 4.156 | 16275.5 |
| 408 | 2024-10-20 09:15:15 | subsamples | 3 | 140603 | 13 | 34.440 | 4082.5 |
| 407 | 2024-10-17 23:50:30 | subsamples | 3 | 140603 | 13 | 31.483 | 4466.0 |
| 406 | 2024-10-17 13:43:29 | subsamples | 3 | 140603 | 13 | 28.453 | 4941.6 |
| 405 | 2024-10-16 17:58:16 | subsamples | 1 | 67641 | 3 | 8.596 | 7868.9 |
| 404 | 2024-10-15 13:43:45 | subsamples | 1 | 67641 | 3 | 5.576 | 12130.7 |
| 403 | 2024-10-15 13:41:48 | subsamples | 3 | 140603 | 13 | 32.670 | 4303.7 |
| 402 | 2024-10-11 05:54:44 | subsamples | 3 | 140603 | 13 | 31.626 | 4445.8 |
| 401 | 2024-09-26 18:49:21 | subsamples | 3 | 140603 | 13 | 40.050 | 3510.7 |
| 400 | 2024-09-04 06:53:52 | subsamples | 3 | 140603 | 13 | 52.860 | 2659.9 |
| 399 | 2024-09-03 22:15:13 | subsamples | 3 | 140603 | 13 | 53.553 | 2625.5 |
| 398 | 2024-08-31 12:58:21 | subsamples | 1 | 67641 | 3 | 10.360 | 6529.1 |
| 397 | 2024-08-19 16:31:24 | subsamples | 3 | 140603 | 13 | 70.470 | 1995.2 |
| 396 | 2024-08-18 11:48:43 | subsamples | 3 | 140603 | 13 | 63.656 | 2208.8 |
| 395 | 2024-08-17 14:32:23 | subsamples | 3 | 140603 | 13 | 72.630 | 1935.9 |
| 394 | 2024-08-17 14:31:51 | subsamples | 1 | 67641 | 3 | 8.610 | 7856.1 |
| 393 | 2024-08-17 14:28:52 | subsamples | 3 | 140603 | 13 | 61.196 | 2297.6 |
| 392 | 2024-08-17 14:28:47 | subsamples | 4 | 161450 | 84 | 62.586 | 2579.7 |
| 391 | 2024-08-17 14:28:36 | subsamples | 2 | 108824 | 4 | 20.220 | 5382.0 |
| 390 | 2024-08-14 08:08:44 | subsamples | 3 | 140603 | 13 | 47.520 | 2958.8 |
| 389 | 2024-08-14 08:08:44 | subsamples | 2 | 108824 | 4 | 25.503 | 4267.1 |
| 388 | 2024-08-08 07:44:47 | subsamples | 3 | 140603 | 13 | 23.410 | 6006.1 |
| 387 | 2024-08-08 07:44:54 | subsamples | 2 | 108824 | 4 | 16.456 | 6613.0 |
| 386 | 2024-08-08 07:42:37 | subsamples | 1 | 67641 | 3 | 3.843 | 17601.1 |
| 385 | 2024-08-06 09:52:29 | subsamples | 2 | 108824 | 4 | 15.500 | 7020.9 |