History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weason"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
443 | 2024-04-03 11:11:04 | weason | 1 | 48755 | 6 | 1.000 | 48755.0 |
442 | 2024-03-31 21:10:12 | weason | 3 | 112716 | 367 | 16.440 | 6856.2 |
441 | 2024-03-31 21:10:12 | weason | 2 | 82551 | 26 | 5.610 | 14715.0 |
440 | 2024-03-31 21:10:13 | weason | 1 | 48755 | 6 | 0.923 | 52822.3 |
439 | 2024-03-29 21:34:49 | weason | 1 | 48755 | 6 | 1.876 | 25988.8 |
438 | 2024-03-29 20:46:14 | weason | 3 | 112716 | 367 | 11.846 | 9515.1 |
437 | 2024-03-29 05:31:04 | weason | 2 | 82551 | 26 | 8.000 | 10318.9 |
436 | 2024-03-28 23:30:20 | weason | 3 | 112716 | 367 | 16.406 | 6870.4 |
435 | 2024-03-28 23:30:14 | weason | 2 | 82551 | 26 | 5.936 | 13906.8 |
434 | 2024-03-28 23:30:13 | weason | 1 | 48755 | 6 | 1.876 | 25988.8 |
433 | 2024-03-05 21:42:11 | weason | 3 | 112716 | 367 | 12.093 | 9320.8 |
432 | 2024-03-05 21:42:10 | weason | 2 | 82551 | 26 | 5.516 | 14965.7 |
431 | 2024-03-05 21:42:08 | weason | 1 | 48755 | 6 | 0.953 | 51159.5 |
430 | 2024-03-04 02:36:40 | weason | 3 | 112716 | 367 | 13.516 | 8339.4 |
429 | 2024-03-04 02:36:45 | weason | 2 | 82551 | 26 | 2.783 | 29662.6 |
428 | 2024-03-04 02:36:24 | weason | 1 | 48755 | 6 | 1.830 | 26642.1 |
427 | 2024-03-01 15:53:24 | weason | 1 | 48755 | 6 | 1.093 | 44606.6 |
426 | 2024-02-28 07:03:53 | weason | 3 | 112716 | 367 | 16.220 | 6949.2 |
425 | 2024-02-27 23:10:36 | weason | 2 | 82551 | 26 | 2.893 | 28534.7 |
424 | 2024-02-27 21:44:19 | weason | 3 | 112716 | 367 | 15.983 | 7052.2 |
423 | 2024-02-27 21:28:11 | weason | 3 | 112716 | 367 | 11.516 | 9787.8 |
422 | 2024-02-27 21:28:08 | weason | 2 | 82551 | 26 | 2.923 | 28241.9 |
421 | 2024-02-27 21:28:02 | weason | 1 | 48755 | 6 | 1.906 | 25579.7 |
420 | 2024-02-05 03:37:39 | weason | 1 | 48755 | 6 | 0.923 | 52822.3 |
419 | 2024-01-22 11:03:24 | weason | 3 | 112716 | 367 | 13.143 | 8576.1 |
418 | 2024-01-22 09:05:58 | weason | 3 | 112716 | 367 | 5.310 | 21227.1 |
417 | 2024-01-22 09:05:49 | weason | 2 | 82551 | 26 | 2.123 | 38884.1 |
416 | 2024-01-22 03:11:06 | weason | 3 | 112716 | 367 | 4.673 | 24120.7 |
415 | 2023-12-11 06:13:27 | weason | 1 | 48755 | 6 | 0.843 | 57835.1 |
414 | 2023-11-27 19:50:08 | weason | 1 | 48755 | 6 | 0.906 | 53813.5 |
413 | 2023-11-20 12:16:26 | weason | 1 | 48755 | 6 | 0.846 | 57630.0 |
412 | 2023-11-19 09:09:05 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
411 | 2023-11-12 21:08:28 | weason | 1 | 48755 | 6 | 0.766 | 63648.8 |
410 | 2023-11-01 11:27:51 | weason | 3 | 112716 | 367 | 4.736 | 23799.8 |
409 | 2023-10-31 07:07:01 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
408 | 2023-10-11 15:15:11 | weason | 1 | 48755 | 6 | 0.860 | 56691.9 |
407 | 2023-10-09 05:13:06 | weason | 1 | 48755 | 6 | 0.860 | 56691.9 |
406 | 2023-10-08 05:36:49 | weason | 1 | 48755 | 6 | 0.826 | 59025.4 |
405 | 2023-09-25 00:28:23 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
404 | 2023-09-14 19:44:09 | weason | 1 | 48755 | 6 | 0.813 | 59969.2 |
403 | 2023-09-14 04:15:49 | weason | 1 | 48755 | 6 | 0.826 | 59025.4 |
402 | 2023-08-08 08:46:37 | weason | 3 | 112716 | 367 | 5.140 | 21929.2 |
401 | 2023-06-15 09:10:42 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
400 | 2023-06-02 14:21:00 | weason | 1 | 48755 | 6 | 0.720 | 67715.3 |
399 | 2023-04-13 22:25:34 | weason | 3 | 112716 | 367 | 4.656 | 24208.8 |
398 | 2023-04-01 09:02:21 | weason | 1 | 48755 | 6 | 0.796 | 61250.0 |
397 | 2023-01-31 04:43:52 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
396 | 2023-01-27 15:35:01 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
395 | 2023-01-20 05:20:11 | weason | 3 | 112716 | 367 | 4.876 | 23116.5 |
394 | 2023-01-16 02:21:02 | weason | 1 | 48755 | 6 | 0.720 | 67715.3 |
393 | 2022-11-01 08:16:15 | weason | 3 | 112716 | 367 | 4.720 | 23880.5 |
392 | 2022-09-18 02:44:34 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
391 | 2022-09-04 10:03:45 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
390 | 2022-08-23 07:03:22 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
389 | 2022-07-10 03:13:31 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
388 | 2022-06-25 15:17:25 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
387 | 2022-06-25 08:24:11 | weason | 1 | 48755 | 6 | 0.813 | 59969.2 |
386 | 2022-06-05 14:12:59 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
385 | 2022-06-03 09:46:35 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
384 | 2022-05-22 12:08:18 | weason | 3 | 112716 | 367 | 5.670 | 19879.4 |
383 | 2022-05-20 07:33:34 | weason | 3 | 112716 | 367 | 4.626 | 24365.8 |
382 | 2022-05-09 00:07:05 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
381 | 2022-02-13 06:20:56 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
380 | 2022-01-13 06:15:37 | weason | 3 | 112716 | 367 | 4.750 | 23729.7 |
379 | 2022-01-07 22:21:34 | weason | 1 | 48755 | 6 | 0.860 | 56691.9 |
378 | 2021-12-02 17:25:45 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
377 | 2021-11-30 15:24:09 | weason | 1 | 48755 | 6 | 0.766 | 63648.8 |
376 | 2021-10-25 19:40:47 | weason | 3 | 112716 | 367 | 4.906 | 22975.1 |
375 | 2021-10-12 05:27:30 | weason | 1 | 48755 | 6 | 0.716 | 68093.6 |
374 | 2021-10-10 02:39:08 | weason | 1 | 48755 | 6 | 0.796 | 61250.0 |
373 | 2021-09-22 05:09:16 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
372 | 2021-06-22 07:03:19 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
371 | 2021-05-15 03:55:02 | weason | 1 | 48755 | 6 | 0.860 | 56691.9 |
370 | 2021-04-14 09:47:17 | weason | 1 | 48755 | 6 | 0.763 | 63899.1 |
369 | 2021-03-20 01:26:36 | weason | 1 | 48755 | 6 | 1.186 | 41108.8 |
368 | 2020-12-17 03:50:20 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
367 | 2020-12-02 10:14:54 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
366 | 2020-11-02 06:54:23 | weason | 1 | 48755 | 6 | 0.843 | 57835.1 |
365 | 2020-10-28 22:16:25 | weason | 1 | 48755 | 6 | 0.766 | 63648.8 |
364 | 2020-10-12 22:05:35 | weason | 1 | 48755 | 6 | 0.780 | 62506.4 |
363 | 2020-09-03 03:24:12 | weason | 1 | 48755 | 6 | 0.906 | 53813.5 |
362 | 2020-09-02 21:20:00 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
361 | 2020-08-31 18:05:14 | weason | 1 | 48755 | 6 | 0.826 | 59025.4 |
360 | 2020-08-30 00:31:19 | weason | 1 | 48755 | 6 | 0.860 | 56691.9 |
359 | 2020-08-27 20:49:50 | weason | 1 | 48755 | 6 | 0.766 | 63648.8 |
358 | 2020-07-17 13:50:41 | weason | 1 | 48755 | 6 | 0.796 | 61250.0 |
357 | 2020-06-10 14:30:12 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
356 | 2020-06-09 15:03:14 | weason | 1 | 48755 | 6 | 0.783 | 62266.9 |
355 | 2020-06-08 15:13:48 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
354 | 2020-06-01 13:56:38 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
353 | 2020-05-29 11:31:00 | weason | 1 | 48755 | 6 | 0.720 | 67715.3 |
352 | 2020-05-28 11:44:38 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
351 | 2020-05-27 11:06:59 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
350 | 2020-05-24 04:28:03 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
349 | 2020-05-23 05:04:15 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
348 | 2020-05-20 08:21:18 | weason | 1 | 48755 | 6 | 0.750 | 65006.7 |
347 | 2020-05-19 07:38:55 | weason | 1 | 48755 | 6 | 0.736 | 66243.2 |
346 | 2020-05-16 21:36:36 | weason | 1 | 48755 | 6 | 0.830 | 58741.0 |
345 | 2020-05-16 11:37:35 | weason | 1 | 48755 | 6 | 0.733 | 66514.3 |
344 | 2020-05-14 01:38:14 | weason | 1 | 48755 | 6 | 0.810 | 60191.4 |