History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"badged"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
475 | 2024-04-26 06:32:31 | badged | 1 | 48755 | 10 | 0.936 | 52088.7 |
474 | 2024-04-25 06:02:54 | badged | 1 | 48755 | 10 | 1.110 | 43923.4 |
473 | 2024-03-30 21:25:38 | badged | 2 | 82551 | 136 | 8.360 | 9874.5 |
472 | 2024-03-30 05:02:46 | badged | 2 | 82551 | 136 | 3.000 | 27517.0 |
471 | 2024-03-29 07:58:35 | badged | 1 | 48755 | 10 | 1.970 | 24748.7 |
470 | 2024-03-29 07:58:16 | badged | 2 | 82551 | 136 | 3.046 | 27101.4 |
469 | 2024-03-29 07:58:11 | badged | 1 | 48755 | 10 | 1.703 | 28628.9 |
468 | 2024-03-22 18:08:48 | badged | 1 | 48755 | 10 | 0.966 | 50471.0 |
467 | 2024-03-13 22:37:41 | badged | 1 | 48755 | 10 | 0.983 | 49598.2 |
466 | 2024-03-11 04:19:02 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
465 | 2024-02-28 04:45:30 | badged | 2 | 82551 | 136 | 2.766 | 29844.9 |
464 | 2024-02-28 01:13:28 | badged | 2 | 82551 | 136 | 5.266 | 15676.2 |
463 | 2024-02-28 01:03:58 | badged | 2 | 82551 | 136 | 2.783 | 29662.6 |
462 | 2024-02-28 01:03:56 | badged | 1 | 48755 | 10 | 0.783 | 62266.9 |
461 | 2024-02-25 21:31:58 | badged | 1 | 48755 | 10 | 0.970 | 50262.9 |
460 | 2024-02-20 10:18:15 | badged | 1 | 48755 | 10 | 1.873 | 26030.4 |
459 | 2024-01-26 14:06:06 | badged | 1 | 48755 | 10 | 1.593 | 30605.8 |
458 | 2023-12-18 21:39:01 | badged | 1 | 48755 | 10 | 0.810 | 60191.4 |
457 | 2023-12-15 10:08:16 | badged | 2 | 82551 | 136 | 2.690 | 30688.1 |
456 | 2023-12-04 05:37:49 | badged | 1 | 48755 | 10 | 0.826 | 59025.4 |
455 | 2023-12-04 05:37:47 | badged | 1 | 48755 | 10 | 1.610 | 30282.6 |
454 | 2023-12-03 09:51:18 | badged | 2 | 82551 | 136 | 3.390 | 24351.3 |
453 | 2023-12-03 09:51:15 | badged | 2 | 82551 | 136 | 2.470 | 33421.5 |
452 | 2023-12-01 19:16:49 | badged | 2 | 82551 | 136 | 2.250 | 36689.3 |
451 | 2023-11-12 11:57:53 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
450 | 2023-11-11 15:08:37 | badged | 2 | 82551 | 136 | 2.126 | 38829.3 |
449 | 2023-11-10 02:16:25 | badged | 1 | 48755 | 10 | 0.830 | 58741.0 |
448 | 2023-10-26 16:35:59 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
447 | 2023-10-25 11:00:42 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
446 | 2023-10-22 16:01:59 | badged | 1 | 48755 | 10 | 0.813 | 59969.2 |
445 | 2023-10-20 10:01:35 | badged | 1 | 48755 | 10 | 0.873 | 55847.7 |
444 | 2023-10-17 09:03:03 | badged | 1 | 48755 | 10 | 0.876 | 55656.4 |
443 | 2023-10-11 13:13:26 | badged | 1 | 48755 | 10 | 0.923 | 52822.3 |
442 | 2023-10-05 18:42:27 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
441 | 2023-10-04 01:01:37 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
440 | 2023-09-23 08:28:38 | badged | 1 | 48755 | 10 | 0.890 | 54780.9 |
439 | 2023-09-11 04:59:25 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
438 | 2023-08-11 07:31:03 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
437 | 2023-08-01 21:43:58 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
436 | 2023-07-22 16:24:08 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
435 | 2023-07-13 08:21:34 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
434 | 2023-05-27 05:57:23 | badged | 1 | 48755 | 10 | 0.826 | 59025.4 |
433 | 2023-05-06 15:41:26 | badged | 1 | 48755 | 10 | 0.783 | 62266.9 |
432 | 2023-04-29 21:00:38 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
431 | 2023-04-02 00:32:36 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
430 | 2023-03-16 17:17:39 | badged | 1 | 48755 | 10 | 0.830 | 58741.0 |
429 | 2023-02-20 21:40:41 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
428 | 2023-02-13 17:31:28 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
427 | 2023-01-21 22:47:23 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
426 | 2022-12-27 20:05:27 | badged | 1 | 48755 | 10 | 0.736 | 66243.2 |
425 | 2022-12-25 13:59:10 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
424 | 2022-12-21 19:20:10 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
423 | 2022-12-07 19:46:40 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
422 | 2022-11-08 21:06:04 | badged | 1 | 48755 | 10 | 0.830 | 58741.0 |
421 | 2022-10-21 16:32:59 | badged | 1 | 48755 | 10 | 0.873 | 55847.7 |
420 | 2022-09-24 21:55:15 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
419 | 2022-09-13 11:19:30 | badged | 1 | 48755 | 10 | 0.763 | 63899.1 |
418 | 2022-09-08 05:46:13 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
417 | 2022-09-05 01:16:23 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
416 | 2022-08-10 20:27:10 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
415 | 2022-07-19 14:21:10 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
414 | 2022-06-20 12:24:59 | badged | 1 | 48755 | 10 | 1.076 | 45311.3 |
413 | 2022-05-31 20:35:34 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
412 | 2022-05-21 16:18:39 | badged | 1 | 48755 | 10 | 0.800 | 60943.8 |
411 | 2022-05-18 06:28:14 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
410 | 2022-05-03 11:20:58 | badged | 1 | 48755 | 10 | 1.173 | 41564.4 |
409 | 2022-04-20 09:20:32 | badged | 1 | 48755 | 10 | 1.186 | 41108.8 |
408 | 2022-04-18 06:00:06 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
407 | 2022-04-16 02:22:34 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
406 | 2022-04-13 16:44:25 | badged | 1 | 48755 | 10 | 1.046 | 46610.9 |
405 | 2022-02-06 14:07:46 | badged | 1 | 48755 | 10 | 0.906 | 53813.5 |
404 | 2022-01-09 16:59:57 | badged | 1 | 48755 | 10 | 0.780 | 62506.4 |
403 | 2022-01-07 13:21:50 | badged | 1 | 48755 | 10 | 0.940 | 51867.0 |
402 | 2021-12-09 04:32:05 | badged | 1 | 48755 | 10 | 0.813 | 59969.2 |
401 | 2021-11-09 21:51:28 | badged | 1 | 48755 | 10 | 0.906 | 53813.5 |
400 | 2021-11-07 19:21:40 | badged | 1 | 48755 | 10 | 0.856 | 56956.8 |
399 | 2021-11-02 08:10:20 | badged | 1 | 48755 | 10 | 0.876 | 55656.4 |
398 | 2021-10-27 22:26:03 | badged | 1 | 48755 | 10 | 0.856 | 56956.8 |
397 | 2021-09-23 05:28:46 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
396 | 2021-09-21 02:14:25 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
395 | 2021-08-17 04:22:08 | badged | 1 | 48755 | 10 | 0.830 | 58741.0 |
394 | 2021-08-15 00:47:51 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
393 | 2021-08-02 12:56:07 | badged | 1 | 48755 | 10 | 1.670 | 29194.6 |
392 | 2021-07-22 09:19:51 | badged | 1 | 48755 | 10 | 0.953 | 51159.5 |
391 | 2021-06-28 18:29:49 | badged | 1 | 48755 | 10 | 0.860 | 56691.9 |
390 | 2021-05-14 09:25:06 | badged | 1 | 48755 | 10 | 0.796 | 61250.0 |
389 | 2021-04-24 09:28:51 | badged | 1 | 48755 | 10 | 0.906 | 53813.5 |
388 | 2021-04-20 19:21:39 | badged | 1 | 48755 | 10 | 1.686 | 28917.6 |
387 | 2021-04-13 10:34:53 | badged | 1 | 48755 | 10 | 0.846 | 57630.0 |
386 | 2021-04-10 20:21:07 | badged | 1 | 48755 | 10 | 0.843 | 57835.1 |
385 | 2021-03-17 05:07:30 | badged | 1 | 48755 | 10 | 0.766 | 63648.8 |
384 | 2021-01-16 05:13:19 | badged | 1 | 48755 | 10 | 0.906 | 53813.5 |
383 | 2020-12-29 11:11:41 | badged | 1 | 48755 | 10 | 0.873 | 55847.7 |
382 | 2020-10-30 08:03:35 | badged | 1 | 48755 | 10 | 0.873 | 55847.7 |
381 | 2020-10-25 20:59:05 | badged | 2 | 82551 | 136 | 2.170 | 38041.9 |
380 | 2020-10-21 14:59:52 | badged | 1 | 48755 | 10 | 0.840 | 58041.7 |
379 | 2020-10-16 14:15:13 | badged | 1 | 48755 | 10 | 0.856 | 56956.8 |
378 | 2020-09-28 13:51:48 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
377 | 2020-09-20 13:18:16 | badged | 1 | 48755 | 10 | 0.750 | 65006.7 |
376 | 2020-09-07 11:14:03 | badged | 1 | 48755 | 10 | 0.813 | 59969.2 |