History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"collar"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
491 | 2024-04-26 06:46:31 | collar | 1 | 48755 | 5 | 0.953 | 51159.5 |
490 | 2024-04-25 16:07:16 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
489 | 2024-04-24 23:54:06 | collar | 3 | 112716 | 670 | 7.283 | 15476.6 |
488 | 2024-04-19 11:43:33 | collar | 1 | 48755 | 5 | 2.706 | 18017.4 |
487 | 2024-03-31 16:44:24 | collar | 3 | 112716 | 670 | 18.546 | 6077.6 |
486 | 2024-03-31 16:44:19 | collar | 2 | 82551 | 72 | 8.860 | 9317.3 |
485 | 2024-03-31 16:44:04 | collar | 1 | 48755 | 5 | 1.906 | 25579.7 |
484 | 2024-03-31 16:43:49 | collar | 3 | 112716 | 670 | 10.563 | 10670.8 |
483 | 2024-03-31 16:43:51 | collar | 2 | 82551 | 72 | 3.186 | 25910.5 |
482 | 2024-03-31 16:43:49 | collar | 1 | 48755 | 5 | 1.843 | 26454.2 |
481 | 2024-02-28 10:27:37 | collar | 1 | 48755 | 5 | 3.156 | 15448.4 |
480 | 2024-02-26 01:50:38 | collar | 1 | 48755 | 5 | 1.283 | 38000.8 |
479 | 2024-02-02 19:12:09 | collar | 2 | 82551 | 72 | 2.546 | 32423.8 |
478 | 2024-01-28 19:50:17 | collar | 1 | 48755 | 5 | 0.813 | 59969.2 |
477 | 2024-01-14 18:46:23 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
476 | 2024-01-05 12:50:30 | collar | 1 | 48755 | 5 | 0.830 | 58741.0 |
475 | 2023-12-11 03:38:11 | collar | 2 | 82551 | 72 | 2.500 | 33020.4 |
474 | 2023-12-05 20:59:18 | collar | 3 | 112716 | 670 | 8.623 | 13071.6 |
473 | 2023-12-05 20:59:20 | collar | 2 | 82551 | 72 | 5.220 | 15814.4 |
472 | 2023-12-01 00:39:45 | collar | 3 | 112716 | 670 | 5.703 | 19764.3 |
471 | 2023-12-01 00:39:43 | collar | 2 | 82551 | 72 | 2.766 | 29844.9 |
470 | 2023-11-25 16:52:10 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
469 | 2023-11-21 22:04:14 | collar | 1 | 48755 | 5 | 0.763 | 63899.1 |
468 | 2023-11-10 22:46:21 | collar | 2 | 82551 | 72 | 2.390 | 34540.2 |
467 | 2023-11-10 13:06:28 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
466 | 2023-11-01 23:49:07 | collar | 2 | 82551 | 72 | 2.560 | 32246.5 |
465 | 2023-10-28 13:28:41 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
464 | 2023-10-28 03:10:50 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
463 | 2023-10-20 22:01:46 | collar | 3 | 112716 | 670 | 6.283 | 17939.8 |
462 | 2023-10-20 21:52:03 | collar | 1 | 48755 | 5 | 0.953 | 51159.5 |
461 | 2023-10-18 02:04:31 | collar | 2 | 82551 | 72 | 2.783 | 29662.6 |
460 | 2023-10-18 02:02:45 | collar | 3 | 112716 | 670 | 6.733 | 16740.8 |
459 | 2023-10-18 01:58:58 | collar | 1 | 48755 | 5 | 0.826 | 59025.4 |
458 | 2023-10-16 00:12:23 | collar | 2 | 82551 | 72 | 2.673 | 30883.3 |
457 | 2023-10-16 00:12:19 | collar | 3 | 112716 | 670 | 5.860 | 19234.8 |
456 | 2023-10-10 23:25:06 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
455 | 2023-10-04 13:44:53 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
454 | 2023-10-01 05:30:38 | collar | 1 | 48755 | 5 | 0.763 | 63899.1 |
453 | 2023-09-27 22:23:44 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
452 | 2023-09-25 05:25:42 | collar | 3 | 112716 | 670 | 11.016 | 10232.0 |
451 | 2023-09-25 05:25:47 | collar | 2 | 82551 | 72 | 2.453 | 33653.1 |
450 | 2023-09-19 13:23:19 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
449 | 2023-09-12 06:59:54 | collar | 1 | 48755 | 5 | 1.673 | 29142.3 |
448 | 2023-08-21 04:27:13 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
447 | 2023-08-15 07:13:27 | collar | 2 | 82551 | 72 | 2.186 | 37763.5 |
446 | 2023-07-16 19:39:03 | collar | 3 | 112716 | 670 | 5.580 | 20200.0 |
445 | 2023-07-16 19:39:02 | collar | 2 | 82551 | 72 | 2.546 | 32423.8 |
444 | 2023-07-16 19:04:52 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
443 | 2023-06-24 00:38:21 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
442 | 2023-05-22 05:09:26 | collar | 1 | 48755 | 5 | 0.763 | 63899.1 |
441 | 2023-04-29 16:38:25 | collar | 2 | 82551 | 72 | 2.156 | 38289.0 |
440 | 2023-03-21 16:20:15 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
439 | 2023-03-16 13:16:17 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
438 | 2023-02-05 12:18:57 | collar | 2 | 82551 | 72 | 2.106 | 39198.0 |
437 | 2023-01-05 10:33:49 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
436 | 2022-12-16 13:28:35 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
435 | 2022-11-17 19:54:16 | collar | 2 | 82551 | 72 | 2.406 | 34310.5 |
434 | 2022-10-01 03:17:54 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
433 | 2022-08-30 05:33:39 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
432 | 2022-08-23 14:53:06 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
431 | 2022-08-06 09:38:54 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
430 | 2022-07-18 17:54:09 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
429 | 2022-07-17 21:15:08 | collar | 1 | 48755 | 5 | 0.783 | 62266.9 |
428 | 2022-06-26 07:11:20 | collar | 1 | 48755 | 5 | 0.783 | 62266.9 |
427 | 2022-05-14 03:50:12 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
426 | 2022-05-12 20:56:23 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
425 | 2022-05-10 18:50:10 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
424 | 2022-05-10 15:56:47 | collar | 1 | 48755 | 5 | 1.216 | 40094.6 |
423 | 2022-04-30 01:16:38 | collar | 2 | 82551 | 72 | 2.156 | 38289.0 |
422 | 2022-02-05 23:30:47 | collar | 1 | 48755 | 5 | 0.763 | 63899.1 |
421 | 2022-01-23 04:38:56 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
420 | 2021-12-17 06:13:13 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
419 | 2021-11-20 16:00:44 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
418 | 2021-11-18 16:05:46 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
417 | 2021-11-16 14:19:32 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
416 | 2021-11-01 17:44:27 | collar | 1 | 48755 | 5 | 0.983 | 49598.2 |
415 | 2021-09-30 03:36:02 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |
414 | 2021-09-02 01:05:15 | collar | 1 | 48755 | 5 | 0.830 | 58741.0 |
413 | 2021-08-17 17:52:29 | collar | 1 | 48755 | 5 | 0.830 | 58741.0 |
412 | 2021-08-02 03:06:43 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
411 | 2021-08-01 22:32:47 | collar | 1 | 48755 | 5 | 0.810 | 60191.4 |
410 | 2021-07-05 13:37:54 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
409 | 2021-05-27 14:57:00 | collar | 2 | 82551 | 72 | 2.483 | 33246.5 |
408 | 2021-05-01 08:06:32 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
407 | 2021-04-19 15:15:59 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
406 | 2021-03-04 23:15:56 | collar | 2 | 82551 | 72 | 2.390 | 34540.2 |
405 | 2021-02-10 17:41:11 | collar | 1 | 48755 | 5 | 0.766 | 63648.8 |
404 | 2021-02-09 16:14:18 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
403 | 2021-01-31 23:54:07 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
402 | 2021-01-28 21:08:40 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
401 | 2021-01-26 17:37:47 | collar | 1 | 48755 | 5 | 0.763 | 63899.1 |
400 | 2021-01-26 17:03:14 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
399 | 2021-01-04 08:20:42 | collar | 1 | 48755 | 5 | 0.783 | 62266.9 |
398 | 2020-11-20 09:10:32 | collar | 2 | 82551 | 72 | 2.170 | 38041.9 |
397 | 2020-11-09 07:34:41 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
396 | 2020-10-31 12:44:46 | collar | 1 | 48755 | 5 | 0.813 | 59969.2 |
395 | 2020-10-31 07:47:19 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
394 | 2020-10-26 01:56:04 | collar | 1 | 48755 | 5 | 1.000 | 48755.0 |
393 | 2020-10-22 16:16:26 | collar | 1 | 48755 | 5 | 0.856 | 56956.8 |
392 | 2020-10-17 11:31:45 | collar | 1 | 48755 | 5 | 0.750 | 65006.7 |