History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"train"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
524 | 2024-04-13 12:56:09 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
523 | 2024-04-05 02:00:59 | train | 1 | 28756 | 12 | 1.500 | 19170.7 |
522 | 2024-04-03 06:06:23 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
521 | 2024-03-31 05:55:36 | train | 2 | 53800 | 146 | 2.296 | 23432.1 |
520 | 2024-03-31 03:43:55 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
519 | 2024-03-18 04:34:23 | train | 2 | 53800 | 146 | 1.843 | 29191.5 |
518 | 2024-03-09 04:44:07 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
517 | 2024-03-04 01:55:56 | train | 2 | 53800 | 146 | 1.623 | 33148.5 |
516 | 2024-03-04 01:55:30 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
515 | 2024-03-01 00:35:48 | train | 1 | 28756 | 12 | 0.550 | 52283.6 |
514 | 2024-02-25 21:58:05 | train | 1 | 28756 | 12 | 2.170 | 13251.6 |
513 | 2024-02-05 19:59:53 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
512 | 2024-02-03 00:15:27 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
511 | 2024-01-30 00:27:23 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
510 | 2024-01-26 20:46:57 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
509 | 2024-01-05 08:17:26 | train | 2 | 53800 | 146 | 3.140 | 17133.8 |
508 | 2024-01-01 10:59:17 | train | 2 | 53800 | 146 | 1.376 | 39098.8 |
507 | 2023-12-31 00:07:24 | train | 1 | 28756 | 12 | 0.856 | 33593.5 |
506 | 2023-12-14 03:12:55 | train | 2 | 53800 | 146 | 1.920 | 28020.8 |
505 | 2023-12-04 02:50:28 | train | 1 | 28756 | 12 | 0.466 | 61708.2 |
504 | 2023-12-04 02:50:27 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
503 | 2023-11-29 21:02:37 | train | 2 | 53800 | 146 | 1.626 | 33087.3 |
502 | 2023-11-29 12:32:12 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
501 | 2023-11-29 09:54:42 | train | 1 | 28756 | 12 | 0.440 | 65354.5 |
500 | 2023-11-22 19:25:18 | train | 1 | 28756 | 12 | 0.450 | 63902.2 |
499 | 2023-11-14 06:32:15 | train | 2 | 53800 | 146 | 1.610 | 33416.1 |
498 | 2023-11-14 01:19:23 | train | 1 | 28756 | 12 | 0.513 | 56054.6 |
497 | 2023-10-28 19:56:53 | train | 1 | 28756 | 12 | 0.890 | 32310.1 |
496 | 2023-10-21 09:50:12 | train | 1 | 28756 | 12 | 1.063 | 27051.7 |
495 | 2023-10-20 10:37:02 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
494 | 2023-10-11 03:04:18 | train | 1 | 28756 | 12 | 0.940 | 30591.5 |
493 | 2023-10-03 16:11:55 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
492 | 2023-09-26 13:51:08 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
491 | 2023-09-14 16:51:52 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
490 | 2023-08-28 11:52:03 | train | 2 | 53800 | 146 | 1.436 | 37465.2 |
489 | 2023-08-10 14:58:01 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
488 | 2023-08-02 17:49:37 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
487 | 2023-06-16 05:52:20 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
486 | 2023-05-13 16:18:36 | train | 2 | 53800 | 146 | 1.360 | 39558.8 |
485 | 2023-05-04 07:56:34 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
484 | 2023-04-21 14:44:52 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
483 | 2023-03-30 18:23:02 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
482 | 2023-03-22 14:07:49 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
481 | 2023-02-18 03:28:57 | train | 2 | 53800 | 146 | 1.656 | 32487.9 |
480 | 2023-01-13 02:48:01 | train | 1 | 28756 | 12 | 0.423 | 67981.1 |
479 | 2023-01-01 17:16:16 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
478 | 2022-11-29 17:44:53 | train | 2 | 53800 | 146 | 1.346 | 39970.3 |
477 | 2022-10-16 06:56:11 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
476 | 2022-09-04 00:36:53 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
475 | 2022-09-01 04:34:10 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
474 | 2022-07-05 21:10:26 | train | 2 | 53800 | 146 | 1.516 | 35488.1 |
473 | 2022-06-06 02:03:37 | train | 1 | 28756 | 12 | 0.440 | 65354.5 |
472 | 2022-06-03 22:12:11 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
471 | 2022-05-09 02:59:52 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
470 | 2022-02-12 17:42:19 | train | 2 | 53800 | 146 | 1.390 | 38705.0 |
469 | 2022-01-21 01:53:28 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
468 | 2022-01-17 19:28:08 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
467 | 2022-01-14 12:40:27 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
466 | 2022-01-03 20:48:08 | train | 1 | 28756 | 12 | 0.486 | 59168.7 |
465 | 2021-11-08 06:50:10 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
464 | 2021-11-06 06:29:01 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
463 | 2021-10-11 10:54:26 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
462 | 2021-09-25 19:46:16 | train | 1 | 28756 | 12 | 0.733 | 39230.6 |
461 | 2021-09-10 20:40:06 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
460 | 2021-07-09 22:31:30 | train | 1 | 28756 | 12 | 0.550 | 52283.6 |
459 | 2021-06-12 21:24:03 | train | 2 | 53800 | 146 | 1.736 | 30990.8 |
458 | 2021-06-07 10:00:47 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
457 | 2021-05-19 15:51:51 | train | 1 | 28756 | 12 | 0.486 | 59168.7 |
456 | 2021-05-15 15:35:03 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
455 | 2021-04-06 02:02:49 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
454 | 2021-04-01 22:12:15 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
453 | 2021-03-16 02:55:17 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
452 | 2021-02-27 15:41:49 | train | 2 | 53800 | 146 | 1.516 | 35488.1 |
451 | 2021-02-25 04:57:57 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
450 | 2021-02-19 03:30:50 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
449 | 2021-01-04 07:08:24 | train | 1 | 28756 | 12 | 0.440 | 65354.5 |
448 | 2020-12-20 23:41:41 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
447 | 2020-11-30 23:19:17 | train | 1 | 28756 | 12 | 0.450 | 63902.2 |
446 | 2020-11-08 18:56:35 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
445 | 2020-10-25 23:33:24 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
444 | 2020-10-24 21:10:33 | train | 1 | 28756 | 12 | 0.440 | 65354.5 |
443 | 2020-10-19 06:12:09 | train | 1 | 28756 | 12 | 0.420 | 68466.7 |
442 | 2020-09-17 01:08:55 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
441 | 2020-08-26 07:56:46 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
440 | 2020-07-20 11:23:03 | train | 1 | 28756 | 12 | 0.466 | 61708.2 |
439 | 2020-07-19 11:22:31 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
438 | 2020-07-17 10:54:38 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
437 | 2020-07-16 20:21:03 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
436 | 2020-07-15 09:32:30 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
435 | 2020-07-13 21:19:15 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
434 | 2020-06-07 07:51:34 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
433 | 2020-05-15 15:35:02 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
432 | 2020-04-12 14:28:58 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
431 | 2020-03-30 00:16:08 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
430 | 2020-03-29 22:18:37 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
429 | 2020-03-26 19:20:32 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
428 | 2020-03-24 11:05:45 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
427 | 2020-03-23 03:40:11 | train | 1 | 28756 | 12 | 0.533 | 53951.2 |
426 | 2020-03-22 02:13:11 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
425 | 2020-03-21 07:44:05 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |