History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coplots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
571 | 2024-04-27 05:03:04 | coplots | 1 | 69583 | 4 | 5.283 | 13171.1 |
570 | 2024-01-18 14:00:07 | coplots | 1 | 69583 | 4 | 1.093 | 63662.4 |
569 | 2023-12-14 09:38:47 | coplots | 3 | 134027 | 368 | 8.283 | 16181.0 |
568 | 2023-12-14 09:38:48 | coplots | 2 | 107671 | 23 | 3.470 | 31029.1 |
567 | 2023-11-23 00:58:10 | coplots | 3 | 134027 | 368 | 7.343 | 18252.3 |
566 | 2023-11-23 00:58:10 | coplots | 2 | 107671 | 23 | 3.673 | 29314.2 |
565 | 2023-11-19 03:05:35 | coplots | 1 | 69583 | 4 | 1.076 | 64668.2 |
564 | 2023-11-15 22:55:02 | coplots | 1 | 69583 | 4 | 1.093 | 63662.4 |
563 | 2023-11-11 10:41:13 | coplots | 1 | 69583 | 4 | 1.186 | 58670.3 |
562 | 2023-11-10 16:48:32 | coplots | 1 | 69583 | 4 | 1.203 | 57841.2 |
561 | 2023-11-09 12:25:41 | coplots | 1 | 69583 | 4 | 1.080 | 64428.7 |
560 | 2023-11-01 20:37:38 | coplots | 1 | 69583 | 4 | 1.250 | 55666.4 |
559 | 2023-10-15 03:06:23 | coplots | 2 | 107671 | 23 | 3.513 | 30649.3 |
558 | 2023-10-11 22:32:45 | coplots | 1 | 69583 | 4 | 1.283 | 54234.6 |
557 | 2023-10-10 15:25:06 | coplots | 3 | 134027 | 368 | 6.076 | 22058.4 |
556 | 2023-10-09 03:16:21 | coplots | 3 | 134027 | 368 | 6.626 | 20227.4 |
555 | 2023-10-04 13:55:56 | coplots | 3 | 134027 | 368 | 17.406 | 7700.0 |
554 | 2023-09-30 18:43:45 | coplots | 3 | 134027 | 368 | 6.920 | 19368.1 |
553 | 2023-09-30 18:43:36 | coplots | 2 | 107671 | 23 | 2.860 | 37647.2 |
552 | 2023-09-24 22:21:50 | coplots | 1 | 69583 | 4 | 1.220 | 57035.2 |
551 | 2023-09-22 07:24:31 | coplots | 1 | 69583 | 4 | 1.143 | 60877.5 |
550 | 2023-09-03 11:00:25 | coplots | 1 | 69583 | 4 | 1.186 | 58670.3 |
549 | 2023-08-06 02:17:54 | coplots | 1 | 69583 | 4 | 1.173 | 59320.5 |
548 | 2023-04-28 12:58:57 | coplots | 1 | 69583 | 4 | 1.283 | 54234.6 |
547 | 2023-04-24 20:35:43 | coplots | 1 | 69583 | 4 | 1.216 | 57222.9 |
546 | 2023-01-16 05:14:33 | coplots | 1 | 69583 | 4 | 1.080 | 64428.7 |
545 | 2023-01-09 00:25:04 | coplots | 1 | 69583 | 4 | 1.060 | 65644.3 |
544 | 2022-10-17 11:34:06 | coplots | 1 | 69583 | 4 | 1.186 | 58670.3 |
543 | 2022-10-02 05:02:58 | coplots | 1 | 69583 | 4 | 1.093 | 63662.4 |
542 | 2022-06-15 05:13:06 | coplots | 1 | 69583 | 4 | 1.076 | 64668.2 |
541 | 2022-06-08 00:17:58 | coplots | 1 | 69583 | 4 | 1.110 | 62687.4 |
540 | 2022-03-02 20:21:05 | coplots | 1 | 69583 | 4 | 1.283 | 54234.6 |
539 | 2022-02-27 23:55:21 | coplots | 1 | 69583 | 4 | 2.313 | 30083.4 |
538 | 2022-02-06 18:13:46 | coplots | 2 | 107671 | 23 | 2.843 | 37872.3 |
537 | 2022-02-06 08:18:59 | coplots | 2 | 107671 | 23 | 3.000 | 35890.3 |
536 | 2022-02-05 11:28:42 | coplots | 2 | 107671 | 23 | 3.296 | 32667.2 |
535 | 2022-02-04 23:12:21 | coplots | 2 | 107671 | 23 | 2.843 | 37872.3 |
534 | 2022-02-04 15:15:50 | coplots | 2 | 107671 | 23 | 3.200 | 33647.2 |
533 | 2022-02-04 01:16:48 | coplots | 2 | 107671 | 23 | 2.843 | 37872.3 |
532 | 2022-02-03 13:41:50 | coplots | 2 | 107671 | 23 | 3.360 | 32044.9 |
531 | 2022-02-03 02:21:16 | coplots | 2 | 107671 | 23 | 2.953 | 36461.6 |
530 | 2022-02-02 19:25:35 | coplots | 2 | 107671 | 23 | 2.923 | 36835.8 |
529 | 2022-02-02 18:09:44 | coplots | 1 | 69583 | 4 | 1.203 | 57841.2 |
528 | 2022-02-02 04:19:03 | coplots | 2 | 107671 | 23 | 3.280 | 32826.5 |
527 | 2022-02-01 19:52:47 | coplots | 2 | 107671 | 23 | 2.923 | 36835.8 |
526 | 2022-02-01 10:16:02 | coplots | 2 | 107671 | 23 | 2.876 | 37437.8 |
525 | 2022-01-31 23:25:49 | coplots | 2 | 107671 | 23 | 3.406 | 31612.2 |
524 | 2022-01-31 07:47:42 | coplots | 2 | 107671 | 23 | 2.860 | 37647.2 |
523 | 2022-01-30 18:15:11 | coplots | 2 | 107671 | 23 | 2.860 | 37647.2 |
522 | 2022-01-30 04:49:34 | coplots | 2 | 107671 | 23 | 3.406 | 31612.2 |
521 | 2022-01-29 12:18:20 | coplots | 2 | 107671 | 23 | 3.233 | 33303.7 |
520 | 2022-01-28 22:15:35 | coplots | 2 | 107671 | 23 | 3.283 | 32796.5 |
519 | 2022-01-28 08:42:08 | coplots | 2 | 107671 | 23 | 3.470 | 31029.1 |
518 | 2022-01-27 19:45:14 | coplots | 2 | 107671 | 23 | 3.233 | 33303.7 |
517 | 2022-01-27 02:27:15 | coplots | 2 | 107671 | 23 | 3.690 | 29179.1 |
516 | 2022-01-26 17:35:04 | coplots | 2 | 107671 | 23 | 3.203 | 33615.7 |
515 | 2022-01-26 07:44:18 | coplots | 2 | 107671 | 23 | 3.203 | 33615.7 |
514 | 2022-01-25 23:39:20 | coplots | 2 | 107671 | 23 | 2.920 | 36873.6 |
513 | 2022-01-25 08:36:24 | coplots | 2 | 107671 | 23 | 3.360 | 32044.9 |
512 | 2022-01-24 19:22:21 | coplots | 2 | 107671 | 23 | 2.860 | 37647.2 |
511 | 2022-01-24 07:24:03 | coplots | 2 | 107671 | 23 | 3.483 | 30913.3 |
510 | 2022-01-23 17:36:14 | coplots | 2 | 107671 | 23 | 3.466 | 31064.9 |
509 | 2022-01-13 19:57:39 | coplots | 2 | 107671 | 23 | 2.826 | 38100.1 |
508 | 2022-01-12 20:08:05 | coplots | 2 | 107671 | 23 | 2.983 | 36094.9 |
507 | 2022-01-11 23:42:11 | coplots | 2 | 107671 | 23 | 3.000 | 35890.3 |
506 | 2022-01-09 07:32:50 | coplots | 2 | 107671 | 23 | 3.780 | 28484.4 |
505 | 2022-01-08 15:55:50 | coplots | 2 | 107671 | 23 | 2.986 | 36058.6 |
504 | 2022-01-07 16:13:55 | coplots | 2 | 107671 | 23 | 3.190 | 33752.7 |
503 | 2022-01-07 00:19:23 | coplots | 2 | 107671 | 23 | 3.393 | 31733.3 |
502 | 2022-01-06 12:53:02 | coplots | 2 | 107671 | 23 | 3.486 | 30886.7 |
501 | 2022-01-05 12:09:44 | coplots | 2 | 107671 | 23 | 3.453 | 31181.9 |
500 | 2022-01-04 18:44:21 | coplots | 2 | 107671 | 23 | 3.516 | 30623.2 |
499 | 2022-01-04 02:13:20 | coplots | 2 | 107671 | 23 | 3.436 | 31336.1 |
498 | 2022-01-03 14:46:07 | coplots | 2 | 107671 | 23 | 4.516 | 23842.1 |
497 | 2022-01-02 14:45:03 | coplots | 2 | 107671 | 23 | 3.606 | 29858.8 |
496 | 2022-01-01 21:37:49 | coplots | 2 | 107671 | 23 | 3.326 | 32372.5 |
495 | 2022-01-01 09:29:39 | coplots | 2 | 107671 | 23 | 3.780 | 28484.4 |
494 | 2021-12-31 23:07:24 | coplots | 2 | 107671 | 23 | 3.296 | 32667.2 |
493 | 2021-12-31 13:49:39 | coplots | 2 | 107671 | 23 | 3.983 | 27032.6 |
492 | 2021-12-30 22:30:37 | coplots | 2 | 107671 | 23 | 3.126 | 34443.7 |
491 | 2021-12-30 06:18:25 | coplots | 2 | 107671 | 23 | 3.313 | 32499.5 |
490 | 2021-12-29 21:39:46 | coplots | 2 | 107671 | 23 | 2.936 | 36672.7 |
489 | 2021-12-29 14:36:55 | coplots | 2 | 107671 | 23 | 3.533 | 30475.8 |
488 | 2021-12-28 20:01:06 | coplots | 2 | 107671 | 23 | 3.140 | 34290.1 |
487 | 2021-12-28 04:32:59 | coplots | 2 | 107671 | 23 | 3.330 | 32333.6 |
486 | 2021-12-28 04:10:29 | coplots | 1 | 69583 | 4 | 1.330 | 52318.0 |
485 | 2021-12-27 19:33:38 | coplots | 2 | 107671 | 23 | 3.330 | 32333.6 |
484 | 2021-12-27 10:46:46 | coplots | 2 | 107671 | 23 | 3.360 | 32044.9 |
483 | 2021-12-26 19:02:37 | coplots | 2 | 107671 | 23 | 3.593 | 29966.9 |
482 | 2021-12-26 08:02:31 | coplots | 2 | 107671 | 23 | 3.236 | 33272.9 |
481 | 2021-12-25 20:00:40 | coplots | 2 | 107671 | 23 | 3.466 | 31064.9 |
480 | 2021-12-25 10:04:35 | coplots | 2 | 107671 | 23 | 3.563 | 30219.2 |
479 | 2021-12-24 23:20:43 | coplots | 2 | 107671 | 23 | 3.643 | 29555.6 |
478 | 2021-12-24 10:12:28 | coplots | 2 | 107671 | 23 | 2.936 | 36672.7 |
477 | 2021-12-24 03:53:12 | coplots | 1 | 69583 | 4 | 1.203 | 57841.2 |
476 | 2021-12-23 17:30:02 | coplots | 2 | 107671 | 23 | 3.216 | 33479.8 |
475 | 2021-12-23 05:38:50 | coplots | 2 | 107671 | 23 | 2.843 | 37872.3 |
474 | 2021-12-22 12:45:35 | coplots | 2 | 107671 | 23 | 3.360 | 32044.9 |
473 | 2021-12-22 02:15:54 | coplots | 2 | 107671 | 23 | 2.936 | 36672.7 |
472 | 2021-12-21 17:50:35 | coplots | 2 | 107671 | 23 | 5.343 | 20151.8 |