History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanometres"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 621 | 2025-12-28 13:17:30 | nanometres | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 620 | 2025-12-19 23:56:45 | nanometres | 4 | 161450 | 154 | 30.016 | 5378.8 |
| 619 | 2025-12-14 03:20:45 | nanometres | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 618 | 2025-12-07 18:54:34 | nanometres | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 617 | 2025-11-26 11:42:47 | nanometres | 4 | 161450 | 154 | 20.750 | 7780.7 |
| 616 | 2025-11-20 12:53:44 | nanometres | 4 | 161450 | 154 | 10.546 | 15309.1 |
| 615 | 2025-11-16 20:07:23 | nanometres | 1 | 67641 | 3 | 2.313 | 29243.8 |
| 614 | 2025-10-09 06:47:55 | nanometres | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 613 | 2025-10-06 22:27:05 | nanometres | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 612 | 2025-10-06 21:22:10 | nanometres | 4 | 161450 | 154 | 12.313 | 13112.2 |
| 611 | 2025-10-06 14:51:04 | nanometres | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 610 | 2025-09-16 04:09:13 | nanometres | 3 | 140603 | 18 | 5.513 | 25503.9 |
| 609 | 2025-09-07 15:31:40 | nanometres | 1 | 67641 | 3 | 2.016 | 33552.1 |
| 608 | 2025-09-07 01:40:59 | nanometres | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 607 | 2025-08-24 19:29:27 | nanometres | 3 | 140603 | 18 | 20.406 | 6890.3 |
| 606 | 2025-08-21 08:13:14 | nanometres | 3 | 140603 | 18 | 20.550 | 6842.0 |
| 605 | 2025-08-21 02:32:03 | nanometres | 3 | 140603 | 18 | 17.190 | 8179.3 |
| 604 | 2025-08-17 03:32:30 | nanometres | 3 | 140603 | 18 | 22.030 | 6382.3 |
| 603 | 2025-08-16 13:26:59 | nanometres | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 602 | 2025-08-12 00:50:34 | nanometres | 2 | 108824 | 6 | 7.623 | 14275.7 |
| 601 | 2025-08-12 00:50:28 | nanometres | 2 | 108824 | 6 | 12.733 | 8546.6 |
| 600 | 2025-08-09 02:40:41 | nanometres | 1 | 67641 | 3 | 4.720 | 14330.7 |
| 599 | 2025-08-05 15:38:28 | nanometres | 2 | 108824 | 6 | 6.736 | 16155.6 |
| 598 | 2025-08-04 17:35:28 | nanometres | 1 | 67641 | 3 | 2.596 | 26055.9 |
| 597 | 2025-08-03 14:23:43 | nanometres | 2 | 108824 | 6 | 3.106 | 35036.7 |
| 596 | 2025-07-27 17:08:18 | nanometres | 1 | 67641 | 3 | 5.593 | 12093.9 |
| 595 | 2025-07-13 05:31:48 | nanometres | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 594 | 2025-07-10 08:49:28 | nanometres | 1 | 67641 | 3 | 5.860 | 11542.8 |
| 593 | 2025-07-07 16:02:56 | nanometres | 1 | 67641 | 3 | 8.626 | 7841.5 |
| 592 | 2025-07-06 10:17:46 | nanometres | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 591 | 2025-06-28 06:51:50 | nanometres | 1 | 67641 | 3 | 5.550 | 12187.6 |
| 590 | 2025-06-26 01:14:52 | nanometres | 1 | 67641 | 3 | 2.810 | 24071.5 |
| 589 | 2025-06-16 11:34:06 | nanometres | 3 | 140603 | 18 | 43.283 | 3248.5 |
| 588 | 2025-06-04 15:17:26 | nanometres | 1 | 67641 | 3 | 4.000 | 16910.3 |
| 587 | 2025-05-26 02:46:51 | nanometres | 1 | 67641 | 3 | 7.483 | 9039.3 |
| 586 | 2025-05-22 05:27:05 | nanometres | 1 | 67641 | 3 | 5.690 | 11887.7 |
| 585 | 2025-05-10 18:25:18 | nanometres | 1 | 67641 | 3 | 4.203 | 16093.5 |
| 584 | 2025-05-08 03:25:38 | nanometres | 1 | 67641 | 3 | 5.856 | 11550.7 |
| 583 | 2025-05-08 02:04:15 | nanometres | 1 | 67641 | 3 | 5.076 | 13325.7 |
| 582 | 2025-05-07 11:38:46 | nanometres | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 581 | 2025-05-04 15:47:58 | nanometres | 1 | 67641 | 3 | 5.750 | 11763.7 |
| 580 | 2025-04-28 21:00:35 | nanometres | 3 | 140603 | 18 | 26.736 | 5258.9 |
| 579 | 2025-04-26 01:11:30 | nanometres | 1 | 67641 | 3 | 3.313 | 20416.8 |
| 578 | 2025-04-04 11:01:02 | nanometres | 3 | 140603 | 18 | 23.550 | 5970.4 |
| 577 | 2025-04-03 05:55:03 | nanometres | 3 | 140603 | 18 | 13.220 | 10635.6 |
| 576 | 2025-04-02 00:37:38 | nanometres | 2 | 108824 | 6 | 15.530 | 7007.3 |
| 575 | 2025-04-01 04:09:21 | nanometres | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 574 | 2025-03-26 23:02:28 | nanometres | 3 | 140603 | 18 | 48.080 | 2924.4 |
| 573 | 2025-03-26 01:04:00 | nanometres | 1 | 67641 | 3 | 5.076 | 13325.7 |
| 572 | 2025-03-23 16:08:54 | nanometres | 1 | 67641 | 3 | 7.656 | 8835.0 |
| 571 | 2025-03-22 12:26:38 | nanometres | 3 | 140603 | 18 | 32.800 | 4286.7 |
| 570 | 2025-03-17 06:12:33 | nanometres | 3 | 140603 | 18 | 27.343 | 5142.2 |
| 569 | 2025-03-15 14:02:52 | nanometres | 1 | 67641 | 3 | 5.140 | 13159.7 |
| 568 | 2025-03-15 03:47:48 | nanometres | 1 | 67641 | 3 | 5.406 | 12512.2 |
| 567 | 2025-03-09 04:29:07 | nanometres | 3 | 140603 | 18 | 38.906 | 3613.9 |
| 566 | 2025-03-06 16:13:15 | nanometres | 1 | 67641 | 3 | 5.920 | 11425.8 |
| 565 | 2025-03-06 05:23:29 | nanometres | 1 | 67641 | 3 | 5.766 | 11731.0 |
| 564 | 2025-03-04 20:51:06 | nanometres | 3 | 140603 | 18 | 35.893 | 3917.3 |
| 563 | 2025-03-04 20:51:05 | nanometres | 2 | 108824 | 6 | 12.733 | 8546.6 |
| 562 | 2025-03-04 20:48:49 | nanometres | 1 | 67641 | 3 | 5.580 | 12122.0 |
| 561 | 2025-03-01 21:52:14 | nanometres | 1 | 67641 | 3 | 6.063 | 11156.4 |
| 560 | 2025-02-26 13:18:07 | nanometres | 3 | 140603 | 18 | 34.750 | 4046.1 |
| 559 | 2025-02-25 02:04:31 | nanometres | 3 | 140603 | 18 | 33.440 | 4204.6 |
| 558 | 2025-02-18 08:08:13 | nanometres | 1 | 67641 | 3 | 4.296 | 15745.1 |
| 557 | 2025-02-17 02:22:41 | nanometres | 3 | 140603 | 18 | 35.266 | 3986.9 |
| 556 | 2025-02-17 02:22:40 | nanometres | 2 | 108824 | 6 | 15.936 | 6828.8 |
| 555 | 2025-02-17 02:17:34 | nanometres | 1 | 67641 | 3 | 2.203 | 30704.0 |
| 554 | 2025-02-09 02:08:41 | nanometres | 3 | 140603 | 18 | 31.656 | 4441.6 |
| 553 | 2025-02-08 10:41:43 | nanometres | 1 | 67641 | 3 | 3.093 | 21869.1 |
| 552 | 2025-02-02 14:43:06 | nanometres | 2 | 108824 | 6 | 8.610 | 12639.3 |
| 551 | 2025-02-02 14:40:58 | nanometres | 1 | 67641 | 3 | 8.393 | 8059.2 |
| 550 | 2025-02-01 20:01:36 | nanometres | 3 | 140603 | 18 | 34.910 | 4027.6 |
| 549 | 2025-02-01 14:57:04 | nanometres | 3 | 140603 | 18 | 39.610 | 3549.7 |
| 548 | 2025-01-31 06:57:33 | nanometres | 3 | 140603 | 18 | 32.796 | 4287.2 |
| 547 | 2025-01-31 06:57:34 | nanometres | 2 | 108824 | 6 | 15.800 | 6887.6 |
| 546 | 2025-01-31 06:53:22 | nanometres | 1 | 67641 | 3 | 2.516 | 26884.3 |
| 545 | 2024-12-26 19:40:14 | nanometres | 3 | 140603 | 18 | 54.330 | 2587.9 |
| 544 | 2024-12-26 19:40:13 | nanometres | 3 | 140603 | 18 | 32.266 | 4357.6 |
| 543 | 2024-12-26 19:40:16 | nanometres | 2 | 108824 | 6 | 14.220 | 7652.9 |
| 542 | 2024-12-26 19:37:37 | nanometres | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 541 | 2024-12-25 09:42:20 | nanometres | 1 | 67641 | 3 | 4.423 | 15293.0 |
| 540 | 2024-12-14 08:21:38 | nanometres | 1 | 67641 | 3 | 2.483 | 27241.6 |
| 539 | 2024-12-08 12:19:32 | nanometres | 1 | 67641 | 3 | 5.593 | 12093.9 |
| 538 | 2024-11-20 21:46:52 | nanometres | 3 | 140603 | 18 | 31.970 | 4398.0 |
| 537 | 2024-11-05 10:32:22 | nanometres | 3 | 140603 | 18 | 55.096 | 2552.0 |
| 536 | 2024-11-05 10:32:23 | nanometres | 2 | 108824 | 6 | 15.300 | 7112.7 |
| 535 | 2024-11-05 10:29:15 | nanometres | 1 | 67641 | 3 | 5.890 | 11484.0 |
| 534 | 2024-11-02 13:16:39 | nanometres | 1 | 67641 | 3 | 2.390 | 28301.7 |
| 533 | 2024-10-26 19:28:18 | nanometres | 3 | 140603 | 18 | 22.906 | 6138.3 |
| 532 | 2024-10-26 17:56:49 | nanometres | 4 | 161450 | 154 | 58.206 | 2773.8 |
| 531 | 2024-10-26 17:56:58 | nanometres | 3 | 140603 | 18 | 43.770 | 3212.3 |
| 530 | 2024-10-26 17:56:51 | nanometres | 2 | 108824 | 6 | 18.563 | 5862.4 |
| 529 | 2024-10-26 17:54:29 | nanometres | 1 | 67641 | 3 | 7.220 | 9368.6 |
| 528 | 2024-10-24 04:55:27 | nanometres | 1 | 67641 | 3 | 4.046 | 16718.0 |
| 527 | 2024-10-23 22:35:52 | nanometres | 1 | 67641 | 3 | 8.220 | 8228.8 |
| 526 | 2024-10-23 22:32:14 | nanometres | 1 | 67641 | 3 | 8.640 | 7828.8 |
| 525 | 2024-10-11 21:39:18 | nanometres | 3 | 140603 | 18 | 29.173 | 4819.6 |
| 524 | 2024-10-11 21:39:14 | nanometres | 2 | 108824 | 6 | 17.436 | 6241.3 |
| 523 | 2024-09-24 19:52:41 | nanometres | 3 | 140603 | 18 | 44.463 | 3162.2 |
| 522 | 2024-09-21 16:32:10 | nanometres | 1 | 67641 | 3 | 9.610 | 7038.6 |