History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cosine"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
553 | 2024-04-27 15:55:29 | cosine | 1 | 48755 | 5 | 0.970 | 50262.9 |
552 | 2024-04-17 17:48:12 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
551 | 2024-04-08 14:56:00 | cosine | 1 | 48755 | 5 | 1.080 | 45143.5 |
550 | 2024-04-07 08:12:33 | cosine | 2 | 82551 | 102 | 3.593 | 22975.5 |
549 | 2024-04-06 12:59:29 | cosine | 1 | 48755 | 5 | 3.280 | 14864.3 |
548 | 2024-03-07 09:13:36 | cosine | 2 | 82551 | 102 | 7.250 | 11386.3 |
547 | 2024-03-07 04:47:09 | cosine | 1 | 48755 | 5 | 0.923 | 52822.3 |
546 | 2024-02-28 05:05:31 | cosine | 1 | 48755 | 5 | 0.953 | 51159.5 |
545 | 2024-02-27 23:32:01 | cosine | 1 | 48755 | 5 | 1.280 | 38089.8 |
544 | 2024-02-22 18:22:10 | cosine | 1 | 48755 | 5 | 0.970 | 50262.9 |
543 | 2024-02-07 15:04:41 | cosine | 1 | 48755 | 5 | 1.060 | 45995.3 |
542 | 2024-01-11 17:42:17 | cosine | 2 | 82551 | 102 | 2.280 | 36206.6 |
541 | 2024-01-08 21:35:40 | cosine | 1 | 48755 | 5 | 1.593 | 30605.8 |
540 | 2024-01-02 16:15:35 | cosine | 1 | 48755 | 5 | 0.873 | 55847.7 |
539 | 2023-12-20 10:25:04 | cosine | 1 | 48755 | 5 | 0.846 | 57630.0 |
538 | 2023-12-13 00:19:59 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
537 | 2023-12-08 04:43:51 | cosine | 2 | 82551 | 102 | 2.173 | 37989.4 |
536 | 2023-11-22 19:31:22 | cosine | 2 | 82551 | 102 | 5.440 | 15174.8 |
535 | 2023-11-22 09:44:24 | cosine | 1 | 48755 | 5 | 0.856 | 56956.8 |
534 | 2023-11-18 08:23:39 | cosine | 2 | 82551 | 102 | 2.466 | 33475.7 |
533 | 2023-11-16 23:16:42 | cosine | 1 | 48755 | 5 | 0.813 | 59969.2 |
532 | 2023-11-08 17:43:48 | cosine | 1 | 48755 | 5 | 0.780 | 62506.4 |
531 | 2023-11-04 08:45:44 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
530 | 2023-11-02 03:45:51 | cosine | 1 | 48755 | 5 | 0.843 | 57835.1 |
529 | 2023-10-21 18:28:21 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
528 | 2023-10-18 16:21:24 | cosine | 1 | 48755 | 5 | 1.716 | 28412.0 |
527 | 2023-10-13 12:47:09 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
526 | 2023-10-06 08:23:52 | cosine | 2 | 82551 | 102 | 5.346 | 15441.6 |
525 | 2023-10-03 11:07:03 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
524 | 2023-09-29 22:16:51 | cosine | 2 | 82551 | 102 | 2.186 | 37763.5 |
523 | 2023-09-24 21:28:13 | cosine | 1 | 48755 | 5 | 0.873 | 55847.7 |
522 | 2023-09-14 08:51:22 | cosine | 1 | 48755 | 5 | 0.843 | 57835.1 |
521 | 2023-09-10 11:04:43 | cosine | 1 | 48755 | 5 | 1.656 | 29441.4 |
520 | 2023-09-07 00:49:48 | cosine | 1 | 48755 | 5 | 0.783 | 62266.9 |
519 | 2023-09-04 15:54:42 | cosine | 2 | 82551 | 102 | 2.453 | 33653.1 |
518 | 2023-08-25 19:26:12 | cosine | 1 | 48755 | 5 | 0.843 | 57835.1 |
517 | 2023-06-03 07:44:07 | cosine | 1 | 48755 | 5 | 0.733 | 66514.3 |
516 | 2023-05-29 00:21:05 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
515 | 2023-05-20 19:47:17 | cosine | 2 | 82551 | 102 | 2.170 | 38041.9 |
514 | 2023-03-25 03:56:30 | cosine | 1 | 48755 | 5 | 1.673 | 29142.3 |
513 | 2023-02-28 16:20:54 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
512 | 2023-02-27 00:59:47 | cosine | 2 | 82551 | 102 | 2.530 | 32628.9 |
511 | 2023-01-08 23:55:41 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
510 | 2022-12-08 22:52:32 | cosine | 2 | 82551 | 102 | 2.263 | 36478.6 |
509 | 2022-11-22 13:01:48 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
508 | 2022-10-14 10:14:39 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
507 | 2022-08-18 14:48:27 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
506 | 2022-07-17 03:51:49 | cosine | 2 | 82551 | 102 | 2.156 | 38289.0 |
505 | 2022-07-14 17:22:51 | cosine | 2 | 82551 | 102 | 2.220 | 37185.1 |
504 | 2022-06-06 00:34:15 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
503 | 2022-06-03 17:24:26 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
502 | 2022-05-13 00:40:37 | cosine | 1 | 48755 | 5 | 1.546 | 31536.2 |
501 | 2022-02-21 02:53:06 | cosine | 2 | 82551 | 102 | 2.233 | 36968.7 |
500 | 2022-02-11 11:05:28 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
499 | 2022-02-09 06:36:09 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
498 | 2022-02-08 08:26:51 | cosine | 1 | 48755 | 5 | 0.800 | 60943.8 |
497 | 2022-02-07 03:03:17 | cosine | 1 | 48755 | 5 | 0.763 | 63899.1 |
496 | 2021-12-17 11:54:17 | cosine | 1 | 48755 | 5 | 0.783 | 62266.9 |
495 | 2021-12-17 01:11:23 | cosine | 1 | 48755 | 5 | 0.780 | 62506.4 |
494 | 2021-12-16 18:28:42 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
493 | 2021-12-16 05:29:30 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
492 | 2021-12-15 15:11:05 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
491 | 2021-12-14 23:17:40 | cosine | 1 | 48755 | 5 | 0.783 | 62266.9 |
490 | 2021-12-14 13:19:58 | cosine | 1 | 48755 | 5 | 0.826 | 59025.4 |
489 | 2021-12-03 01:13:22 | cosine | 1 | 48755 | 5 | 0.890 | 54780.9 |
488 | 2021-11-30 23:10:55 | cosine | 1 | 48755 | 5 | 0.890 | 54780.9 |
487 | 2021-11-15 16:40:49 | cosine | 1 | 48755 | 5 | 0.936 | 52088.7 |
486 | 2021-11-15 07:56:38 | cosine | 1 | 48755 | 5 | 0.796 | 61250.0 |
485 | 2021-11-14 19:31:57 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
484 | 2021-11-14 09:04:17 | cosine | 1 | 48755 | 5 | 1.030 | 47335.0 |
483 | 2021-11-13 19:14:05 | cosine | 1 | 48755 | 5 | 0.893 | 54596.9 |
482 | 2021-11-13 10:13:43 | cosine | 1 | 48755 | 5 | 1.000 | 48755.0 |
481 | 2021-11-12 19:42:12 | cosine | 1 | 48755 | 5 | 0.800 | 60943.8 |
480 | 2021-11-12 09:47:59 | cosine | 1 | 48755 | 5 | 0.906 | 53813.5 |
479 | 2021-11-11 17:22:36 | cosine | 1 | 48755 | 5 | 0.783 | 62266.9 |
478 | 2021-11-11 06:31:17 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
477 | 2021-11-10 21:02:58 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
476 | 2021-11-07 10:14:54 | cosine | 1 | 48755 | 5 | 0.796 | 61250.0 |
475 | 2021-10-14 17:58:48 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
474 | 2021-10-13 21:56:55 | cosine | 1 | 48755 | 5 | 0.873 | 55847.7 |
473 | 2021-10-12 13:45:34 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
472 | 2021-10-11 16:41:48 | cosine | 1 | 48755 | 5 | 0.780 | 62506.4 |
471 | 2021-10-10 13:37:59 | cosine | 1 | 48755 | 5 | 0.890 | 54780.9 |
470 | 2021-10-10 10:17:04 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
469 | 2021-10-08 09:35:09 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
468 | 2021-09-20 15:50:29 | cosine | 1 | 48755 | 5 | 0.830 | 58741.0 |
467 | 2021-09-19 23:34:30 | cosine | 1 | 48755 | 5 | 1.110 | 43923.4 |
466 | 2021-09-13 10:14:37 | cosine | 1 | 48755 | 5 | 0.813 | 59969.2 |
465 | 2021-09-06 07:30:42 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
464 | 2021-08-21 20:55:46 | cosine | 1 | 48755 | 5 | 0.780 | 62506.4 |
463 | 2021-08-04 08:07:12 | cosine | 1 | 48755 | 5 | 0.843 | 57835.1 |
462 | 2021-05-16 17:11:55 | cosine | 1 | 48755 | 5 | 1.796 | 27146.4 |
461 | 2021-05-03 15:17:29 | cosine | 1 | 48755 | 5 | 0.876 | 55656.4 |
460 | 2021-04-29 23:44:01 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
459 | 2021-04-16 10:43:10 | cosine | 1 | 48755 | 5 | 0.860 | 56691.9 |
458 | 2021-03-19 12:33:04 | cosine | 1 | 48755 | 5 | 0.766 | 63648.8 |
457 | 2021-02-22 08:22:48 | cosine | 1 | 48755 | 5 | 0.893 | 54596.9 |
456 | 2021-01-25 12:40:06 | cosine | 1 | 48755 | 5 | 0.796 | 61250.0 |
455 | 2020-11-20 03:29:24 | cosine | 1 | 48755 | 5 | 0.750 | 65006.7 |
454 | 2020-10-31 23:23:03 | cosine | 1 | 48755 | 5 | 0.813 | 59969.2 |