History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"convex"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
524 | 2025-02-04 16:41:33 | convex | 2 | 82551 | 41 | 2.263 | 36478.6 |
523 | 2025-02-04 16:41:32 | convex | 1 | 48755 | 2 | 0.876 | 55656.4 |
522 | 2025-01-27 12:21:40 | convex | 1 | 48755 | 2 | 1.953 | 24964.2 |
521 | 2025-01-27 03:31:31 | convex | 3 | 112716 | 562 | 23.846 | 4726.8 |
520 | 2025-01-26 07:04:47 | convex | 3 | 112716 | 562 | 33.750 | 3339.7 |
519 | 2025-01-26 00:17:16 | convex | 3 | 112716 | 562 | 29.020 | 3884.1 |
518 | 2025-01-25 23:03:22 | convex | 3 | 112716 | 562 | 26.423 | 4265.8 |
517 | 2025-01-25 22:44:31 | convex | 3 | 112716 | 562 | 5.453 | 20670.5 |
516 | 2025-01-18 05:34:12 | convex | 1 | 48755 | 2 | 2.736 | 17819.8 |
515 | 2025-01-15 15:57:37 | convex | 1 | 48755 | 2 | 5.750 | 8479.1 |
514 | 2025-01-03 19:52:11 | convex | 1 | 48755 | 2 | 1.296 | 37619.6 |
513 | 2024-12-28 10:50:32 | convex | 1 | 48755 | 2 | 2.313 | 21078.7 |
512 | 2024-12-26 18:09:13 | convex | 2 | 82551 | 41 | 16.140 | 5114.7 |
511 | 2024-12-26 13:35:40 | convex | 3 | 112716 | 562 | 23.076 | 4884.6 |
510 | 2024-12-26 13:35:38 | convex | 2 | 82551 | 41 | 11.343 | 7277.7 |
509 | 2024-12-18 07:18:17 | convex | 1 | 48755 | 2 | 5.500 | 8864.5 |
508 | 2024-12-14 09:53:11 | convex | 3 | 112716 | 562 | 21.160 | 5326.8 |
507 | 2024-12-14 07:51:52 | convex | 1 | 48755 | 2 | 2.313 | 21078.7 |
506 | 2024-12-14 02:50:05 | convex | 3 | 112716 | 562 | 23.266 | 4844.7 |
505 | 2024-12-13 08:03:35 | convex | 3 | 112716 | 562 | 27.036 | 4169.1 |
504 | 2024-12-12 14:14:21 | convex | 3 | 112716 | 562 | 13.093 | 8608.9 |
503 | 2024-12-04 18:09:22 | convex | 1 | 48755 | 2 | 3.126 | 15596.6 |
502 | 2024-11-25 20:31:05 | convex | 1 | 48755 | 2 | 4.186 | 11647.2 |
501 | 2024-11-20 17:15:47 | convex | 2 | 82551 | 41 | 6.110 | 13510.8 |
500 | 2024-11-12 18:28:17 | convex | 2 | 82551 | 41 | 2.436 | 33887.9 |
499 | 2024-11-12 18:27:49 | convex | 3 | 112716 | 562 | 6.440 | 17502.5 |
498 | 2024-11-11 09:18:53 | convex | 2 | 82551 | 41 | 2.500 | 33020.4 |
497 | 2024-11-11 09:17:33 | convex | 3 | 112716 | 562 | 5.593 | 20153.0 |
496 | 2024-11-10 17:43:13 | convex | 3 | 112716 | 562 | 23.266 | 4844.7 |
495 | 2024-11-10 03:01:55 | convex | 3 | 112716 | 562 | 26.000 | 4335.2 |
494 | 2024-11-10 03:01:59 | convex | 2 | 82551 | 41 | 9.656 | 8549.2 |
493 | 2024-11-09 19:22:51 | convex | 1 | 48755 | 2 | 0.766 | 63648.8 |
492 | 2024-11-08 05:19:18 | convex | 1 | 48755 | 2 | 4.266 | 11428.7 |
491 | 2024-11-03 13:59:17 | convex | 1 | 48755 | 2 | 2.313 | 21078.7 |
490 | 2024-10-26 14:29:57 | convex | 1 | 48755 | 2 | 4.296 | 11348.9 |
489 | 2024-10-10 14:01:54 | convex | 3 | 112716 | 562 | 6.203 | 18171.2 |
488 | 2024-10-10 05:20:42 | convex | 3 | 112716 | 562 | 26.180 | 4305.4 |
487 | 2024-10-10 05:07:24 | convex | 1 | 48755 | 2 | 3.016 | 16165.5 |
486 | 2024-10-07 09:55:52 | convex | 3 | 112716 | 562 | 29.093 | 3874.3 |
485 | 2024-10-07 07:27:39 | convex | 2 | 82551 | 41 | 21.423 | 3853.4 |
484 | 2024-10-07 05:25:18 | convex | 3 | 112716 | 562 | 51.643 | 2182.6 |
483 | 2024-10-06 22:56:07 | convex | 3 | 112716 | 562 | 37.690 | 2990.6 |
482 | 2024-10-06 22:56:07 | convex | 2 | 82551 | 41 | 18.906 | 4366.4 |
481 | 2024-10-06 22:56:00 | convex | 1 | 48755 | 2 | 6.670 | 7309.6 |
480 | 2024-10-02 16:09:37 | convex | 1 | 48755 | 2 | 3.420 | 14255.8 |
479 | 2024-09-21 05:51:13 | convex | 1 | 48755 | 2 | 10.500 | 4643.3 |
478 | 2024-09-16 08:37:07 | convex | 3 | 112716 | 562 | 23.003 | 4900.1 |
477 | 2024-09-15 18:28:14 | convex | 3 | 112716 | 562 | 45.230 | 2492.1 |
476 | 2024-09-14 18:37:04 | convex | 3 | 112716 | 562 | 21.813 | 5167.4 |
475 | 2024-09-13 18:30:52 | convex | 3 | 112716 | 562 | 22.800 | 4943.7 |
474 | 2024-09-13 07:16:42 | convex | 3 | 112716 | 562 | 45.596 | 2472.1 |
473 | 2024-09-12 18:35:34 | convex | 3 | 112716 | 562 | 66.303 | 1700.0 |
472 | 2024-09-09 02:19:53 | convex | 1 | 48755 | 2 | 4.936 | 9877.4 |
471 | 2024-09-04 19:11:21 | convex | 3 | 112716 | 562 | 16.796 | 6710.9 |
470 | 2024-09-04 08:22:05 | convex | 1 | 48755 | 2 | 5.893 | 8273.4 |
469 | 2024-09-03 23:08:42 | convex | 3 | 112716 | 562 | 54.113 | 2083.0 |
468 | 2024-09-03 18:14:04 | convex | 3 | 112716 | 562 | 53.063 | 2124.2 |
467 | 2024-08-31 10:32:41 | convex | 3 | 112716 | 562 | 48.266 | 2335.3 |
466 | 2024-08-31 08:17:36 | convex | 3 | 112716 | 562 | 34.986 | 3221.7 |
465 | 2024-08-31 08:17:33 | convex | 2 | 82551 | 41 | 19.936 | 4140.8 |
464 | 2024-08-31 08:17:21 | convex | 1 | 48755 | 2 | 4.250 | 11471.8 |
463 | 2024-08-12 18:49:59 | convex | 1 | 48755 | 2 | 5.876 | 8297.3 |
462 | 2024-08-02 17:31:39 | convex | 1 | 48755 | 2 | 3.470 | 14050.4 |
461 | 2024-08-01 22:34:03 | convex | 1 | 48755 | 2 | 3.670 | 13284.7 |
460 | 2024-07-31 20:47:35 | convex | 1 | 48755 | 2 | 4.860 | 10031.9 |
459 | 2024-07-31 11:27:50 | convex | 1 | 48755 | 2 | 3.576 | 13633.9 |
458 | 2024-07-24 05:59:19 | convex | 1 | 48755 | 2 | 4.280 | 11391.4 |
457 | 2024-07-24 03:11:21 | convex | 1 | 48755 | 2 | 3.186 | 15302.9 |
456 | 2024-07-01 15:25:02 | convex | 1 | 48755 | 2 | 2.580 | 18897.3 |
455 | 2024-07-01 04:14:13 | convex | 1 | 48755 | 2 | 2.670 | 18260.3 |
454 | 2024-07-01 02:41:03 | convex | 1 | 48755 | 2 | 3.436 | 14189.5 |
453 | 2024-06-29 22:33:20 | convex | 1 | 48755 | 2 | 3.266 | 14928.0 |
452 | 2024-06-20 15:38:44 | convex | 1 | 48755 | 2 | 4.860 | 10031.9 |
451 | 2024-06-04 08:34:27 | convex | 1 | 48755 | 2 | 0.796 | 61250.0 |
450 | 2024-06-02 08:13:19 | convex | 1 | 48755 | 2 | 1.046 | 46610.9 |
449 | 2024-06-01 06:44:22 | convex | 3 | 112716 | 562 | 12.313 | 9154.2 |
448 | 2024-06-01 01:18:32 | convex | 3 | 112716 | 562 | 11.126 | 10130.9 |
447 | 2024-05-30 07:36:03 | convex | 2 | 82551 | 41 | 23.720 | 3480.2 |
446 | 2024-05-30 03:54:50 | convex | 3 | 112716 | 562 | 16.110 | 6996.6 |
445 | 2024-05-29 23:32:09 | convex | 3 | 112716 | 562 | 21.890 | 5149.2 |
444 | 2024-05-29 22:01:10 | convex | 3 | 112716 | 562 | 28.936 | 3895.4 |
443 | 2024-05-29 22:01:02 | convex | 2 | 82551 | 41 | 15.953 | 5174.6 |
442 | 2024-05-29 21:05:39 | convex | 3 | 112716 | 562 | 22.826 | 4938.1 |
441 | 2024-05-29 21:05:38 | convex | 2 | 82551 | 41 | 4.983 | 16566.5 |
440 | 2024-05-29 21:05:34 | convex | 1 | 48755 | 2 | 1.846 | 26411.2 |
439 | 2024-05-06 08:35:19 | convex | 1 | 48755 | 2 | 0.873 | 55847.7 |
438 | 2024-05-01 03:45:47 | convex | 3 | 112716 | 562 | 6.890 | 16359.4 |
437 | 2024-04-27 06:32:59 | convex | 1 | 48755 | 2 | 1.936 | 25183.4 |
436 | 2024-04-15 17:57:42 | convex | 3 | 112716 | 562 | 4.983 | 22620.1 |
435 | 2024-04-08 05:36:21 | convex | 3 | 112716 | 562 | 6.296 | 17902.8 |
434 | 2024-04-08 05:36:22 | convex | 2 | 82551 | 41 | 2.733 | 30205.3 |
433 | 2024-04-03 15:03:28 | convex | 2 | 82551 | 41 | 8.936 | 9238.0 |
432 | 2024-04-03 15:02:52 | convex | 3 | 112716 | 562 | 6.640 | 16975.3 |
431 | 2024-04-03 15:02:55 | convex | 2 | 82551 | 41 | 3.000 | 27517.0 |
430 | 2024-04-03 15:02:45 | convex | 1 | 48755 | 2 | 1.986 | 24549.3 |
429 | 2024-04-03 15:02:21 | convex | 3 | 112716 | 562 | 6.186 | 18221.1 |
428 | 2024-04-03 13:12:22 | convex | 3 | 112716 | 562 | 14.063 | 8015.1 |
427 | 2024-04-03 13:12:25 | convex | 2 | 82551 | 41 | 9.013 | 9159.1 |
426 | 2024-04-03 13:11:59 | convex | 1 | 48755 | 2 | 2.000 | 24377.5 |
425 | 2024-03-30 04:25:18 | convex | 1 | 48755 | 2 | 4.000 | 12188.8 |