History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sternnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 625 | 2025-12-14 03:57:49 | sternnesses | 4 | 148819 | 361 | 8.873 | 16772.1 |
| 624 | 2025-12-11 04:01:57 | sternnesses | 2 | 86808 | 4 | 2.156 | 40263.5 |
| 623 | 2025-12-08 15:56:53 | sternnesses | 4 | 148819 | 361 | 8.703 | 17099.7 |
| 622 | 2025-12-06 17:17:03 | sternnesses | 4 | 148819 | 361 | 9.533 | 15610.9 |
| 621 | 2025-12-04 03:56:01 | sternnesses | 2 | 86808 | 4 | 2.436 | 35635.5 |
| 620 | 2025-12-03 02:35:43 | sternnesses | 4 | 148819 | 361 | 9.110 | 16335.8 |
| 619 | 2025-11-27 13:17:20 | sternnesses | 2 | 86808 | 4 | 2.593 | 33477.8 |
| 618 | 2025-11-22 19:45:16 | sternnesses | 4 | 148819 | 361 | 8.903 | 16715.6 |
| 617 | 2025-11-22 05:17:42 | sternnesses | 2 | 86808 | 4 | 2.563 | 33869.7 |
| 616 | 2025-11-21 19:41:49 | sternnesses | 4 | 148819 | 361 | 15.406 | 9659.8 |
| 615 | 2025-11-20 14:12:01 | sternnesses | 2 | 86808 | 4 | 2.436 | 35635.5 |
| 614 | 2025-11-18 16:19:40 | sternnesses | 4 | 148819 | 361 | 9.313 | 15979.7 |
| 613 | 2025-11-18 16:19:17 | sternnesses | 4 | 148819 | 361 | 10.250 | 14518.9 |
| 612 | 2025-11-16 15:25:14 | sternnesses | 4 | 148819 | 361 | 9.533 | 15610.9 |
| 611 | 2025-11-16 08:54:31 | sternnesses | 4 | 148819 | 361 | 8.546 | 17413.9 |
| 610 | 2025-11-15 19:12:16 | sternnesses | 2 | 86808 | 4 | 2.190 | 39638.4 |
| 609 | 2025-11-09 05:11:51 | sternnesses | 2 | 86808 | 4 | 2.343 | 37049.9 |
| 608 | 2025-11-09 03:34:05 | sternnesses | 4 | 148819 | 361 | 16.753 | 8883.1 |
| 607 | 2025-11-08 13:52:23 | sternnesses | 2 | 86808 | 4 | 2.406 | 36079.8 |
| 606 | 2025-11-03 20:27:22 | sternnesses | 4 | 148819 | 361 | 10.063 | 14788.7 |
| 605 | 2025-11-02 11:01:40 | sternnesses | 2 | 86808 | 4 | 2.093 | 41475.4 |
| 604 | 2025-10-31 16:16:50 | sternnesses | 4 | 148819 | 361 | 9.670 | 15389.8 |
| 603 | 2025-10-29 09:34:04 | sternnesses | 4 | 148819 | 361 | 20.030 | 7429.8 |
| 602 | 2025-10-28 16:12:24 | sternnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 601 | 2025-10-27 18:04:18 | sternnesses | 4 | 148819 | 361 | 8.923 | 16678.1 |
| 600 | 2025-10-27 01:20:20 | sternnesses | 2 | 86808 | 4 | 2.516 | 34502.4 |
| 599 | 2025-10-22 09:46:33 | sternnesses | 4 | 148819 | 361 | 45.540 | 3267.9 |
| 598 | 2025-10-21 20:49:54 | sternnesses | 4 | 148819 | 361 | 26.706 | 5572.5 |
| 597 | 2025-10-21 08:10:01 | sternnesses | 4 | 148819 | 361 | 35.860 | 4150.0 |
| 596 | 2025-10-14 20:33:59 | sternnesses | 4 | 148819 | 361 | 10.610 | 14026.3 |
| 595 | 2025-10-14 02:36:06 | sternnesses | 4 | 148819 | 361 | 8.546 | 17413.9 |
| 594 | 2025-10-12 22:56:00 | sternnesses | 2 | 86808 | 4 | 2.310 | 37579.2 |
| 593 | 2025-10-10 08:01:36 | sternnesses | 4 | 148819 | 361 | 8.783 | 16944.0 |
| 592 | 2025-10-01 00:59:37 | sternnesses | 4 | 148819 | 361 | 9.796 | 15191.8 |
| 591 | 2025-09-26 04:35:33 | sternnesses | 2 | 86808 | 4 | 2.156 | 40263.5 |
| 590 | 2025-09-21 04:59:45 | sternnesses | 4 | 148819 | 361 | 9.343 | 15928.4 |
| 589 | 2025-09-17 11:07:51 | sternnesses | 2 | 86808 | 4 | 2.563 | 33869.7 |
| 588 | 2025-09-16 03:02:07 | sternnesses | 2 | 86808 | 4 | 2.266 | 38308.9 |
| 587 | 2025-08-31 18:22:58 | sternnesses | 2 | 86808 | 4 | 2.686 | 32318.7 |
| 586 | 2025-08-29 02:56:25 | sternnesses | 4 | 148819 | 361 | 8.593 | 17318.6 |
| 585 | 2025-08-17 00:02:16 | sternnesses | 2 | 86808 | 4 | 4.406 | 19702.2 |
| 584 | 2025-08-15 06:10:19 | sternnesses | 3 | 121633 | 71 | 26.846 | 4530.8 |
| 583 | 2025-08-14 01:28:24 | sternnesses | 4 | 148819 | 361 | 15.800 | 9418.9 |
| 582 | 2025-08-13 12:28:57 | sternnesses | 2 | 86808 | 4 | 6.406 | 13551.0 |
| 581 | 2025-08-13 11:54:46 | sternnesses | 3 | 121633 | 71 | 15.343 | 7927.6 |
| 580 | 2025-08-11 10:21:04 | sternnesses | 1 | 49908 | 1 | 4.126 | 12096.0 |
| 579 | 2025-08-10 11:33:43 | sternnesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
| 578 | 2025-08-10 01:14:43 | sternnesses | 2 | 86808 | 4 | 4.906 | 17694.3 |
| 577 | 2025-08-09 07:49:44 | sternnesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
| 576 | 2025-08-05 10:40:35 | sternnesses | 3 | 121633 | 71 | 11.343 | 10723.2 |
| 575 | 2025-08-04 16:46:20 | sternnesses | 1 | 49908 | 1 | 3.423 | 14580.2 |
| 574 | 2025-08-04 11:08:40 | sternnesses | 4 | 148819 | 361 | 32.676 | 4554.4 |
| 573 | 2025-08-01 17:32:30 | sternnesses | 3 | 121633 | 71 | 16.720 | 7274.7 |
| 572 | 2025-08-01 10:13:29 | sternnesses | 3 | 121633 | 71 | 37.736 | 3223.3 |
| 571 | 2025-07-30 13:17:12 | sternnesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 570 | 2025-07-30 06:47:36 | sternnesses | 4 | 148819 | 361 | 35.016 | 4250.0 |
| 569 | 2025-07-26 02:45:17 | sternnesses | 4 | 148819 | 361 | 19.110 | 7787.5 |
| 568 | 2025-07-26 01:56:54 | sternnesses | 4 | 148819 | 361 | 10.080 | 14763.8 |
| 567 | 2025-07-24 01:51:25 | sternnesses | 1 | 49908 | 1 | 2.466 | 20238.4 |
| 566 | 2025-07-23 14:36:36 | sternnesses | 1 | 49908 | 1 | 1.923 | 25953.2 |
| 565 | 2025-07-23 05:16:33 | sternnesses | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 564 | 2025-07-23 03:48:55 | sternnesses | 1 | 49908 | 1 | 3.080 | 16203.9 |
| 563 | 2025-07-20 16:46:20 | sternnesses | 2 | 86808 | 4 | 2.516 | 34502.4 |
| 562 | 2025-07-19 21:45:26 | sternnesses | 4 | 148819 | 361 | 10.626 | 14005.2 |
| 561 | 2025-07-17 22:25:22 | sternnesses | 1 | 49908 | 1 | 3.656 | 13651.0 |
| 560 | 2025-07-15 21:33:22 | sternnesses | 1 | 49908 | 1 | 1.953 | 25554.5 |
| 559 | 2025-07-13 07:35:41 | sternnesses | 2 | 86808 | 4 | 2.890 | 30037.4 |
| 558 | 2025-07-08 06:44:36 | sternnesses | 1 | 49908 | 1 | 4.313 | 11571.5 |
| 557 | 2025-07-07 07:15:27 | sternnesses | 1 | 49908 | 1 | 4.423 | 11283.7 |
| 556 | 2025-07-05 17:53:39 | sternnesses | 1 | 49908 | 1 | 5.263 | 9482.8 |
| 555 | 2025-07-04 16:25:25 | sternnesses | 3 | 121633 | 71 | 27.890 | 4361.2 |
| 554 | 2025-07-03 05:22:15 | sternnesses | 3 | 121633 | 71 | 18.720 | 6497.5 |
| 553 | 2025-07-02 10:33:26 | sternnesses | 3 | 121633 | 71 | 38.293 | 3176.4 |
| 552 | 2025-07-02 08:25:17 | sternnesses | 3 | 121633 | 71 | 34.283 | 3547.9 |
| 551 | 2025-07-01 11:20:20 | sternnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 550 | 2025-06-30 14:45:41 | sternnesses | 3 | 121633 | 71 | 24.300 | 5005.5 |
| 549 | 2025-06-29 14:47:41 | sternnesses | 1 | 49908 | 1 | 2.106 | 23698.0 |
| 548 | 2025-06-28 23:28:55 | sternnesses | 1 | 49908 | 1 | 4.093 | 12193.5 |
| 547 | 2025-06-19 21:20:49 | sternnesses | 1 | 49908 | 1 | 2.156 | 23148.4 |
| 546 | 2025-06-17 17:23:30 | sternnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 545 | 2025-06-17 07:31:52 | sternnesses | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 544 | 2025-06-15 12:42:42 | sternnesses | 1 | 49908 | 1 | 2.420 | 20623.1 |
| 543 | 2025-06-05 13:07:29 | sternnesses | 1 | 49908 | 1 | 4.546 | 10978.4 |
| 542 | 2025-05-18 21:27:47 | sternnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 541 | 2025-05-04 16:54:35 | sternnesses | 1 | 49908 | 1 | 3.900 | 12796.9 |
| 540 | 2025-05-04 16:43:48 | sternnesses | 3 | 121633 | 71 | 26.936 | 4515.6 |
| 539 | 2025-05-04 13:28:54 | sternnesses | 1 | 49908 | 1 | 1.736 | 28748.8 |
| 538 | 2025-04-28 06:41:48 | sternnesses | 3 | 121633 | 71 | 27.160 | 4478.4 |
| 537 | 2025-04-28 00:17:12 | sternnesses | 2 | 86808 | 4 | 16.986 | 5110.6 |
| 536 | 2025-04-26 06:49:59 | sternnesses | 1 | 49908 | 1 | 4.843 | 10305.2 |
| 535 | 2025-04-23 12:54:15 | sternnesses | 1 | 49908 | 1 | 5.373 | 9288.7 |
| 534 | 2025-04-17 21:42:17 | sternnesses | 1 | 49908 | 1 | 3.720 | 13416.1 |
| 533 | 2025-04-13 05:12:50 | sternnesses | 3 | 121633 | 71 | 13.233 | 9191.6 |
| 532 | 2025-04-11 00:27:36 | sternnesses | 1 | 49908 | 1 | 6.153 | 8111.2 |
| 531 | 2025-04-09 13:22:15 | sternnesses | 3 | 121633 | 71 | 25.153 | 4835.7 |
| 530 | 2025-04-06 22:16:56 | sternnesses | 3 | 121633 | 71 | 42.320 | 2874.1 |
| 529 | 2025-04-04 16:26:00 | sternnesses | 1 | 49908 | 1 | 4.170 | 11968.3 |
| 528 | 2025-04-03 21:41:36 | sternnesses | 2 | 86808 | 4 | 7.186 | 12080.2 |
| 527 | 2025-04-03 16:23:19 | sternnesses | 3 | 121633 | 71 | 5.393 | 22553.9 |
| 526 | 2025-04-03 13:21:27 | sternnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |