History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"breeds"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
443 | 2024-04-20 04:51:29 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
442 | 2024-03-31 08:58:02 | breeds | 2 | 82551 | 113 | 3.923 | 21042.8 |
441 | 2024-03-31 08:58:00 | breeds | 1 | 48755 | 10 | 1.890 | 25796.3 |
440 | 2024-03-10 05:10:01 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
439 | 2024-03-05 19:51:05 | breeds | 2 | 82551 | 113 | 2.516 | 32810.4 |
438 | 2024-03-05 10:03:24 | breeds | 2 | 82551 | 113 | 2.623 | 31472.0 |
437 | 2024-03-04 01:41:16 | breeds | 2 | 82551 | 113 | 2.563 | 32208.7 |
436 | 2024-03-04 01:41:13 | breeds | 1 | 48755 | 10 | 1.580 | 30857.6 |
435 | 2024-02-28 05:40:40 | breeds | 1 | 48755 | 10 | 2.796 | 17437.4 |
434 | 2024-02-05 02:02:54 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
433 | 2024-02-01 06:50:41 | breeds | 1 | 48755 | 10 | 0.983 | 49598.2 |
432 | 2024-01-06 12:15:02 | breeds | 2 | 82551 | 113 | 2.656 | 31080.9 |
431 | 2023-12-15 23:23:27 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
430 | 2023-11-20 21:08:37 | breeds | 1 | 48755 | 10 | 0.796 | 61250.0 |
429 | 2023-11-14 15:09:53 | breeds | 1 | 48755 | 10 | 0.763 | 63899.1 |
428 | 2023-11-06 01:52:57 | breeds | 1 | 48755 | 10 | 0.733 | 66514.3 |
427 | 2023-11-01 09:09:50 | breeds | 1 | 48755 | 10 | 0.796 | 61250.0 |
426 | 2023-11-01 03:07:36 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
425 | 2023-10-20 21:31:06 | breeds | 1 | 48755 | 10 | 0.830 | 58741.0 |
424 | 2023-10-19 12:22:30 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
423 | 2023-10-11 07:34:39 | breeds | 1 | 48755 | 10 | 0.736 | 66243.2 |
422 | 2023-10-05 03:45:18 | breeds | 1 | 48755 | 10 | 0.763 | 63899.1 |
421 | 2023-10-02 20:49:52 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
420 | 2023-09-24 12:56:38 | breeds | 1 | 48755 | 10 | 0.736 | 66243.2 |
419 | 2023-09-22 06:33:57 | breeds | 1 | 48755 | 10 | 0.780 | 62506.4 |
418 | 2023-07-30 00:33:48 | breeds | 1 | 48755 | 10 | 0.733 | 66514.3 |
417 | 2023-07-07 17:54:15 | breeds | 1 | 48755 | 10 | 0.810 | 60191.4 |
416 | 2023-04-26 06:24:21 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
415 | 2023-03-27 12:48:13 | breeds | 1 | 48755 | 10 | 0.953 | 51159.5 |
414 | 2023-02-15 19:15:38 | breeds | 1 | 48755 | 10 | 1.466 | 33257.2 |
413 | 2022-12-15 13:46:23 | breeds | 1 | 48755 | 10 | 0.846 | 57630.0 |
412 | 2022-12-12 00:32:13 | breeds | 1 | 48755 | 10 | 0.733 | 66514.3 |
411 | 2022-09-01 11:00:48 | breeds | 1 | 48755 | 10 | 0.970 | 50262.9 |
410 | 2022-08-16 23:59:53 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
409 | 2022-05-23 12:08:58 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
408 | 2022-05-20 01:55:59 | breeds | 1 | 48755 | 10 | 0.766 | 63648.8 |
407 | 2022-04-11 10:20:11 | breeds | 1 | 48755 | 10 | 1.060 | 45995.3 |
406 | 2022-02-11 21:54:19 | breeds | 1 | 48755 | 10 | 0.736 | 66243.2 |
405 | 2022-01-09 09:31:06 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
404 | 2021-12-30 23:29:23 | breeds | 2 | 82551 | 113 | 2.203 | 37472.1 |
403 | 2021-11-20 06:03:20 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
402 | 2021-11-10 20:23:05 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
401 | 2021-11-09 13:37:12 | breeds | 1 | 48755 | 10 | 0.920 | 52994.6 |
400 | 2021-09-29 06:21:48 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
399 | 2021-08-25 13:30:09 | breeds | 1 | 48755 | 10 | 0.826 | 59025.4 |
398 | 2021-08-23 09:16:54 | breeds | 1 | 48755 | 10 | 0.780 | 62506.4 |
397 | 2021-08-11 05:56:17 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
396 | 2021-07-15 03:42:25 | breeds | 1 | 48755 | 10 | 0.873 | 55847.7 |
395 | 2021-05-10 09:49:43 | breeds | 1 | 48755 | 10 | 0.856 | 56956.8 |
394 | 2021-05-06 23:30:57 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
393 | 2021-05-04 08:34:26 | breeds | 1 | 48755 | 10 | 1.016 | 47987.2 |
392 | 2021-04-02 11:57:50 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
391 | 2021-03-07 01:40:39 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
390 | 2021-01-31 20:02:59 | breeds | 1 | 48755 | 10 | 0.830 | 58741.0 |
389 | 2020-12-18 04:15:56 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
388 | 2020-11-22 15:43:44 | breeds | 1 | 48755 | 10 | 0.736 | 66243.2 |
387 | 2020-11-18 20:08:31 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
386 | 2020-11-07 14:48:12 | breeds | 2 | 82551 | 113 | 2.220 | 37185.1 |
385 | 2020-10-29 13:57:51 | breeds | 1 | 48755 | 10 | 0.780 | 62506.4 |
384 | 2020-10-24 10:31:07 | breeds | 1 | 48755 | 10 | 0.830 | 58741.0 |
383 | 2020-10-23 20:52:03 | breeds | 1 | 48755 | 10 | 0.846 | 57630.0 |
382 | 2020-10-16 22:03:56 | breeds | 1 | 48755 | 10 | 1.606 | 30358.0 |
381 | 2020-10-14 13:58:04 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
380 | 2020-09-17 14:40:59 | breeds | 1 | 48755 | 10 | 0.796 | 61250.0 |
379 | 2020-09-01 14:38:49 | breeds | 1 | 48755 | 10 | 0.763 | 63899.1 |
378 | 2020-08-14 16:39:25 | breeds | 1 | 48755 | 10 | 0.826 | 59025.4 |
377 | 2020-07-21 12:16:00 | breeds | 1 | 48755 | 10 | 0.920 | 52994.6 |
376 | 2020-04-22 14:57:29 | breeds | 1 | 48755 | 10 | 0.856 | 56956.8 |
375 | 2020-03-28 15:25:52 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
374 | 2020-03-26 11:50:48 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
373 | 2020-03-24 06:25:47 | breeds | 1 | 48755 | 10 | 0.970 | 50262.9 |
372 | 2020-03-23 17:55:27 | breeds | 1 | 48755 | 10 | 0.796 | 61250.0 |
371 | 2020-03-20 02:52:04 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
370 | 2020-02-26 17:11:24 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
369 | 2020-02-20 02:17:01 | breeds | 1 | 48755 | 10 | 0.876 | 55656.4 |
368 | 2020-02-12 22:48:34 | breeds | 1 | 48755 | 10 | 0.970 | 50262.9 |
367 | 2020-02-04 14:35:17 | breeds | 1 | 48755 | 10 | 0.936 | 52088.7 |
366 | 2020-02-03 16:16:53 | breeds | 1 | 48755 | 10 | 0.763 | 63899.1 |
365 | 2020-02-03 07:02:56 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
364 | 2020-02-02 22:38:22 | breeds | 1 | 48755 | 10 | 0.940 | 51867.0 |
363 | 2020-02-02 05:06:01 | breeds | 1 | 48755 | 10 | 0.936 | 52088.7 |
362 | 2020-02-02 02:53:57 | breeds | 1 | 48755 | 10 | 1.733 | 28133.3 |
361 | 2020-01-27 07:46:30 | breeds | 1 | 48755 | 10 | 1.873 | 26030.4 |
360 | 2020-01-22 19:09:17 | breeds | 1 | 48755 | 10 | 1.126 | 43299.3 |
359 | 2020-01-22 03:29:46 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
358 | 2020-01-14 20:56:33 | breeds | 1 | 48755 | 10 | 1.923 | 25353.6 |
357 | 2020-01-14 09:59:59 | breeds | 1 | 48755 | 10 | 0.923 | 52822.3 |
356 | 2020-01-14 09:06:47 | breeds | 1 | 48755 | 10 | 1.000 | 48755.0 |
355 | 2020-01-12 00:10:59 | breeds | 1 | 48755 | 10 | 1.016 | 47987.2 |
354 | 2020-01-07 10:40:32 | breeds | 1 | 48755 | 10 | 0.873 | 55847.7 |
353 | 2019-12-27 23:06:10 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
352 | 2019-12-27 02:10:22 | breeds | 1 | 48755 | 10 | 0.766 | 63648.8 |
351 | 2019-12-27 01:58:47 | breeds | 1 | 48755 | 10 | 2.233 | 21833.9 |
350 | 2019-12-26 08:02:49 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
349 | 2019-12-11 05:21:29 | breeds | 1 | 48755 | 10 | 0.873 | 55847.7 |
348 | 2019-12-09 05:19:50 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
347 | 2019-10-19 19:27:25 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
346 | 2019-07-19 08:56:14 | breeds | 1 | 48755 | 10 | 0.823 | 59240.6 |
345 | 2019-04-18 08:03:32 | breeds | 1 | 48755 | 10 | 0.766 | 63648.8 |
344 | 2019-03-01 15:23:40 | breeds | 1 | 48755 | 10 | 0.730 | 66787.7 |