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 |
| 612 | 2026-03-18 19:43:56 | subsamples | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 611 | 2026-03-18 04:18:33 | subsamples | 5 | 173545 | 664 | 18.796 | 9233.1 |
| 610 | 2026-03-17 22:28:58 | subsamples | 5 | 173545 | 664 | 75.193 | 2308.0 |
| 609 | 2026-03-16 07:38:13 | subsamples | 5 | 173545 | 664 | 46.596 | 3724.5 |
| 608 | 2026-03-15 18:30:24 | subsamples | 5 | 173545 | 664 | 17.250 | 10060.6 |
| 607 | 2026-03-15 10:56:20 | subsamples | 2 | 108824 | 4 | 6.376 | 17067.8 |
| 606 | 2026-03-14 16:35:31 | subsamples | 5 | 173545 | 664 | 113.663 | 1526.8 |
| 605 | 2026-03-14 16:35:12 | subsamples | 5 | 173545 | 664 | 86.380 | 2009.1 |
| 604 | 2026-03-14 02:46:22 | subsamples | 3 | 140603 | 13 | 6.703 | 20976.1 |
| 603 | 2026-03-14 02:08:37 | subsamples | 2 | 108824 | 4 | 3.280 | 33178.0 |
| 602 | 2026-03-13 13:41:57 | subsamples | 2 | 108824 | 4 | 2.893 | 37616.3 |
| 601 | 2026-03-12 21:51:28 | subsamples | 3 | 140603 | 13 | 24.563 | 5724.2 |
| 600 | 2026-03-12 06:13:06 | subsamples | 3 | 140603 | 13 | 6.436 | 21846.3 |
| 599 | 2026-03-11 21:53:32 | subsamples | 5 | 173545 | 664 | 16.080 | 10792.6 |
| 598 | 2026-03-11 21:35:06 | subsamples | 5 | 173545 | 664 | 24.300 | 7141.8 |
| 597 | 2026-03-11 15:26:51 | subsamples | 2 | 108824 | 4 | 3.546 | 30689.2 |
| 596 | 2026-03-11 15:13:31 | subsamples | 4 | 161450 | 84 | 19.280 | 8374.0 |
| 595 | 2026-03-11 10:27:31 | subsamples | 4 | 161450 | 84 | 10.206 | 15819.1 |
| 594 | 2026-03-11 05:12:46 | subsamples | 2 | 108824 | 4 | 9.956 | 10930.5 |
| 593 | 2026-03-11 05:07:20 | subsamples | 3 | 140603 | 13 | 6.060 | 23201.8 |
| 592 | 2026-03-10 18:17:40 | subsamples | 2 | 108824 | 4 | 4.656 | 23372.9 |
| 591 | 2026-03-10 17:46:26 | subsamples | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 590 | 2026-03-10 12:29:12 | subsamples | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 589 | 2026-03-10 11:53:28 | subsamples | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 588 | 2026-03-10 06:12:14 | subsamples | 1 | 67641 | 3 | 1.153 | 58665.2 |
| 587 | 2026-03-10 01:23:34 | subsamples | 3 | 140603 | 13 | 6.530 | 21531.9 |
| 586 | 2026-03-09 19:19:09 | subsamples | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 585 | 2026-03-05 11:25:58 | subsamples | 5 | 173545 | 664 | 17.906 | 9692.0 |
| 584 | 2026-03-05 10:14:34 | subsamples | 5 | 173545 | 664 | 17.486 | 9924.8 |
| 583 | 2026-03-05 09:04:52 | subsamples | 2 | 108824 | 4 | 3.013 | 36118.2 |
| 582 | 2026-03-05 06:51:34 | subsamples | 2 | 108824 | 4 | 2.890 | 37655.4 |
| 581 | 2026-03-05 02:08:56 | subsamples | 3 | 140603 | 13 | 6.623 | 21229.5 |
| 580 | 2026-03-02 20:31:18 | subsamples | 4 | 161450 | 84 | 11.156 | 14472.0 |
| 579 | 2026-02-26 08:57:17 | subsamples | 3 | 140603 | 13 | 6.076 | 23140.7 |
| 578 | 2026-02-26 07:02:18 | subsamples | 4 | 161450 | 84 | 12.000 | 13454.2 |
| 577 | 2026-02-09 09:16:25 | subsamples | 1 | 67641 | 3 | 2.080 | 32519.7 |
| 576 | 2026-02-09 03:45:12 | subsamples | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 575 | 2026-02-08 15:02:18 | subsamples | 1 | 67641 | 3 | 1.780 | 38000.6 |
| 574 | 2026-01-22 12:46:44 | subsamples | 5 | 173545 | 664 | 17.610 | 9854.9 |
| 573 | 2026-01-22 07:13:13 | subsamples | 1 | 67641 | 3 | 2.343 | 28869.4 |
| 572 | 2026-01-21 14:29:46 | subsamples | 5 | 173545 | 664 | 41.580 | 4173.8 |
| 571 | 2026-01-21 10:45:07 | subsamples | 5 | 173545 | 664 | 17.253 | 10058.8 |
| 570 | 2026-01-21 10:44:08 | subsamples | 5 | 173545 | 664 | 17.750 | 9777.2 |
| 569 | 2026-01-20 14:51:17 | subsamples | 5 | 173545 | 664 | 32.656 | 5314.3 |
| 568 | 2026-01-20 14:51:03 | subsamples | 5 | 173545 | 664 | 17.686 | 9812.6 |
| 567 | 2026-01-16 18:57:08 | subsamples | 5 | 173545 | 664 | 19.923 | 8710.8 |
| 566 | 2026-01-16 16:41:27 | subsamples | 5 | 173545 | 664 | 28.970 | 5990.5 |
| 565 | 2026-01-16 13:59:35 | subsamples | 5 | 173545 | 664 | 50.516 | 3435.4 |
| 564 | 2026-01-15 21:01:19 | subsamples | 4 | 161450 | 84 | 11.016 | 14656.0 |
| 563 | 2026-01-15 16:07:27 | subsamples | 3 | 140603 | 13 | 6.420 | 21900.8 |
| 562 | 2026-01-12 16:52:51 | subsamples | 5 | 173545 | 664 | 18.000 | 9641.4 |
| 561 | 2026-01-11 18:31:46 | subsamples | 5 | 173545 | 664 | 20.110 | 8629.8 |
| 560 | 2026-01-10 00:12:54 | subsamples | 3 | 140603 | 13 | 6.216 | 22619.5 |
| 559 | 2026-01-08 07:52:15 | subsamples | 4 | 161450 | 84 | 25.423 | 6350.5 |
| 558 | 2026-01-04 05:36:16 | subsamples | 2 | 108824 | 4 | 4.513 | 24113.5 |
| 557 | 2026-01-03 16:01:40 | subsamples | 4 | 161450 | 84 | 10.610 | 15216.8 |
| 556 | 2025-12-30 09:34:08 | subsamples | 4 | 161450 | 84 | 10.906 | 14803.8 |
| 555 | 2025-12-28 09:31:39 | subsamples | 4 | 161450 | 84 | 10.873 | 14848.7 |
| 554 | 2025-12-28 05:47:50 | subsamples | 5 | 173545 | 664 | 17.516 | 9907.8 |
| 553 | 2025-12-27 19:22:21 | subsamples | 2 | 108824 | 4 | 4.890 | 22254.4 |
| 552 | 2025-12-27 01:04:30 | subsamples | 3 | 140603 | 13 | 6.530 | 21531.9 |
| 551 | 2025-12-25 14:38:50 | subsamples | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 550 | 2025-12-25 04:27:24 | subsamples | 2 | 108824 | 4 | 3.156 | 34481.6 |
| 549 | 2025-12-24 19:36:16 | subsamples | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 548 | 2025-12-24 14:02:48 | subsamples | 3 | 140603 | 13 | 5.720 | 24580.9 |
| 547 | 2025-12-24 10:40:29 | subsamples | 3 | 140603 | 13 | 15.236 | 9228.3 |
| 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 |