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 |
| 546 | 2025-12-24 07:31:57 | subsamples | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 545 | 2025-12-23 17:23:35 | subsamples | 2 | 108824 | 4 | 2.906 | 37448.0 |
| 544 | 2025-12-23 13:02:57 | subsamples | 3 | 140603 | 13 | 8.076 | 17410.0 |
| 543 | 2025-12-23 04:22:48 | subsamples | 2 | 108824 | 4 | 9.140 | 11906.3 |
| 542 | 2025-12-23 03:53:29 | subsamples | 2 | 108824 | 4 | 3.190 | 34114.1 |
| 541 | 2025-12-22 14:59:52 | subsamples | 3 | 140603 | 13 | 6.953 | 20221.9 |
| 540 | 2025-12-22 06:35:10 | subsamples | 5 | 173545 | 664 | 21.000 | 8264.0 |
| 539 | 2025-12-21 18:50:18 | subsamples | 3 | 140603 | 13 | 6.986 | 20126.4 |
| 538 | 2025-12-17 17:35:51 | subsamples | 3 | 140603 | 13 | 6.703 | 20976.1 |
| 537 | 2025-12-16 18:22:20 | subsamples | 2 | 108824 | 4 | 15.140 | 7187.8 |
| 536 | 2025-12-16 12:09:48 | subsamples | 3 | 140603 | 13 | 6.533 | 21522.0 |
| 535 | 2025-12-15 01:02:47 | subsamples | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 534 | 2025-12-14 16:25:29 | subsamples | 3 | 140603 | 13 | 18.253 | 7703.0 |
| 533 | 2025-12-14 01:13:59 | subsamples | 2 | 108824 | 4 | 3.393 | 32073.1 |
| 532 | 2025-12-13 06:05:31 | subsamples | 5 | 173545 | 664 | 18.596 | 9332.4 |
| 531 | 2025-12-13 03:46:39 | subsamples | 1 | 67641 | 3 | 2.046 | 33060.1 |
| 530 | 2025-12-12 23:38:16 | subsamples | 1 | 67641 | 3 | 3.250 | 20812.6 |
| 529 | 2025-12-12 09:20:22 | subsamples | 5 | 173545 | 664 | 82.236 | 2110.3 |
| 528 | 2025-12-03 11:24:07 | subsamples | 3 | 140603 | 13 | 7.640 | 18403.5 |
| 527 | 2025-11-30 19:29:10 | subsamples | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 526 | 2025-11-29 08:38:31 | subsamples | 1 | 67641 | 3 | 2.593 | 26086.0 |
| 525 | 2025-11-26 18:55:23 | subsamples | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 524 | 2025-11-22 12:52:57 | subsamples | 3 | 140603 | 13 | 6.046 | 23255.5 |
| 523 | 2025-11-21 15:36:46 | subsamples | 3 | 140603 | 13 | 18.640 | 7543.1 |
| 522 | 2025-11-18 11:25:06 | subsamples | 5 | 173545 | 664 | 15.000 | 11569.7 |
| 521 | 2025-11-17 04:33:09 | subsamples | 3 | 140603 | 13 | 5.593 | 25139.1 |
| 520 | 2025-11-16 09:34:06 | subsamples | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 519 | 2025-11-16 08:22:59 | subsamples | 3 | 140603 | 13 | 5.936 | 23686.5 |
| 518 | 2025-11-14 23:16:58 | subsamples | 1 | 67641 | 3 | 1.296 | 52192.1 |
| 517 | 2025-11-14 21:47:49 | subsamples | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 516 | 2025-11-14 16:16:49 | subsamples | 5 | 173545 | 664 | 15.766 | 11007.5 |
| 515 | 2025-11-14 14:33:38 | subsamples | 3 | 140603 | 13 | 5.610 | 25062.9 |
| 514 | 2025-11-09 16:01:14 | subsamples | 4 | 161450 | 84 | 9.516 | 16966.2 |
| 513 | 2025-11-07 13:31:33 | subsamples | 2 | 108824 | 4 | 3.156 | 34481.6 |
| 512 | 2025-11-05 13:10:43 | subsamples | 2 | 108824 | 4 | 2.733 | 39818.5 |
| 511 | 2025-10-30 20:06:45 | subsamples | 1 | 67641 | 3 | 2.893 | 23380.9 |
| 510 | 2025-10-29 11:18:35 | subsamples | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 509 | 2025-10-26 19:56:43 | subsamples | 1 | 67641 | 3 | 1.160 | 58311.2 |
| 508 | 2025-10-22 21:36:57 | subsamples | 1 | 67641 | 3 | 5.796 | 11670.3 |
| 507 | 2025-10-22 13:10:33 | subsamples | 4 | 161450 | 84 | 30.250 | 5337.2 |
| 506 | 2025-10-21 14:20:22 | subsamples | 4 | 161450 | 84 | 41.753 | 3866.8 |
| 505 | 2025-10-16 08:17:15 | subsamples | 5 | 173545 | 664 | 17.326 | 10016.4 |
| 504 | 2025-10-15 00:24:09 | subsamples | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 503 | 2025-10-14 23:22:31 | subsamples | 1 | 67641 | 3 | 1.763 | 38367.0 |
| 502 | 2025-10-13 23:02:37 | subsamples | 4 | 161450 | 84 | 9.830 | 16424.2 |
| 501 | 2025-10-12 12:53:26 | subsamples | 2 | 108824 | 4 | 2.970 | 36641.1 |
| 500 | 2025-10-12 11:04:14 | subsamples | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 499 | 2025-09-29 10:26:16 | subsamples | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 498 | 2025-09-29 09:32:49 | subsamples | 1 | 67641 | 3 | 1.300 | 52031.5 |
| 497 | 2025-09-28 19:56:49 | subsamples | 1 | 67641 | 3 | 1.263 | 53555.8 |
| 496 | 2025-09-22 20:01:44 | subsamples | 1 | 67641 | 3 | 1.153 | 58665.2 |
| 495 | 2025-09-21 10:50:01 | subsamples | 5 | 173545 | 664 | 17.266 | 10051.3 |
| 494 | 2025-09-18 11:47:48 | subsamples | 3 | 140603 | 13 | 6.470 | 21731.5 |
| 493 | 2025-09-13 22:53:12 | subsamples | 1 | 67641 | 3 | 1.296 | 52192.1 |
| 492 | 2025-09-13 00:39:57 | subsamples | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 491 | 2025-09-12 03:26:00 | subsamples | 4 | 161450 | 84 | 10.080 | 16016.9 |
| 490 | 2025-09-06 01:08:47 | subsamples | 2 | 108824 | 4 | 2.983 | 36481.4 |
| 489 | 2025-09-03 05:55:51 | subsamples | 3 | 140603 | 13 | 5.720 | 24580.9 |
| 488 | 2025-08-30 21:43:19 | subsamples | 3 | 140603 | 13 | 6.000 | 23433.8 |
| 487 | 2025-08-29 10:25:49 | subsamples | 1 | 67641 | 3 | 1.050 | 64420.0 |
| 486 | 2025-08-29 09:22:02 | subsamples | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 485 | 2025-08-28 20:25:05 | subsamples | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 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 |