History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"traits"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
441 | 2024-04-19 14:04:39 | traits | 1 | 48755 | 8 | 0.780 | 62506.4 |
440 | 2024-04-06 04:02:50 | traits | 2 | 82551 | 121 | 4.893 | 16871.2 |
439 | 2024-03-08 08:33:47 | traits | 1 | 48755 | 8 | 0.906 | 53813.5 |
438 | 2024-01-26 08:03:44 | traits | 1 | 48755 | 8 | 0.860 | 56691.9 |
437 | 2024-01-23 18:06:01 | traits | 1 | 48755 | 8 | 0.736 | 66243.2 |
436 | 2023-12-09 08:32:20 | traits | 2 | 82551 | 121 | 2.186 | 37763.5 |
435 | 2023-11-23 18:49:16 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
434 | 2023-11-20 16:31:23 | traits | 1 | 48755 | 8 | 0.856 | 56956.8 |
433 | 2023-11-19 08:08:47 | traits | 1 | 48755 | 8 | 0.736 | 66243.2 |
432 | 2023-11-19 05:46:30 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
431 | 2023-11-18 06:45:35 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
430 | 2023-10-31 04:04:42 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
429 | 2023-10-19 21:24:21 | traits | 1 | 48755 | 8 | 1.656 | 29441.4 |
428 | 2023-10-14 10:57:20 | traits | 1 | 48755 | 8 | 0.766 | 63648.8 |
427 | 2023-10-12 02:10:07 | traits | 1 | 48755 | 8 | 0.796 | 61250.0 |
426 | 2023-10-03 16:16:28 | traits | 1 | 48755 | 8 | 0.830 | 58741.0 |
425 | 2023-09-26 07:21:56 | traits | 1 | 48755 | 8 | 0.936 | 52088.7 |
424 | 2023-09-14 04:07:05 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
423 | 2023-09-06 12:21:06 | traits | 1 | 48755 | 8 | 0.830 | 58741.0 |
422 | 2023-09-06 07:24:08 | traits | 2 | 82551 | 121 | 2.110 | 39123.7 |
421 | 2023-06-07 22:53:14 | traits | 1 | 48755 | 8 | 0.736 | 66243.2 |
420 | 2023-05-31 22:29:57 | traits | 1 | 48755 | 8 | 0.720 | 67715.3 |
419 | 2023-05-21 23:08:40 | traits | 2 | 82551 | 121 | 2.143 | 38521.2 |
418 | 2023-03-29 03:19:19 | traits | 1 | 48755 | 8 | 0.846 | 57630.0 |
417 | 2023-02-28 04:53:41 | traits | 2 | 82551 | 121 | 2.140 | 38575.2 |
416 | 2023-02-01 20:07:39 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
415 | 2023-01-12 03:03:21 | traits | 1 | 48755 | 8 | 0.920 | 52994.6 |
414 | 2022-12-09 18:14:03 | traits | 2 | 82551 | 121 | 2.420 | 34112.0 |
413 | 2022-11-12 09:32:34 | traits | 2 | 82551 | 121 | 2.173 | 37989.4 |
412 | 2022-10-26 13:11:33 | traits | 1 | 48755 | 8 | 0.890 | 54780.9 |
411 | 2022-09-30 16:18:56 | traits | 1 | 48755 | 8 | 0.810 | 60191.4 |
410 | 2022-09-10 10:17:19 | traits | 2 | 82551 | 121 | 2.203 | 37472.1 |
409 | 2022-09-01 05:36:21 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
408 | 2022-08-23 10:14:35 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
407 | 2022-08-07 19:53:29 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
406 | 2022-08-01 09:35:26 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
405 | 2022-07-24 07:33:04 | traits | 2 | 82551 | 121 | 2.156 | 38289.0 |
404 | 2022-06-17 00:24:57 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
403 | 2022-05-20 23:10:16 | traits | 1 | 48755 | 8 | 0.766 | 63648.8 |
402 | 2022-02-27 20:49:05 | traits | 2 | 82551 | 121 | 2.653 | 31116.1 |
401 | 2022-02-26 16:55:22 | traits | 1 | 48755 | 8 | 0.763 | 63899.1 |
400 | 2022-01-19 08:08:35 | traits | 1 | 48755 | 8 | 0.906 | 53813.5 |
399 | 2022-01-16 01:53:48 | traits | 1 | 48755 | 8 | 0.856 | 56956.8 |
398 | 2022-01-12 18:55:19 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
397 | 2021-12-17 19:08:02 | traits | 1 | 48755 | 8 | 0.876 | 55656.4 |
396 | 2021-11-23 19:43:09 | traits | 2 | 82551 | 121 | 2.220 | 37185.1 |
395 | 2021-10-28 23:18:32 | traits | 1 | 48755 | 8 | 1.813 | 26891.9 |
394 | 2021-10-26 22:40:03 | traits | 1 | 48755 | 8 | 0.780 | 62506.4 |
393 | 2021-09-17 08:53:12 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
392 | 2021-09-15 02:49:37 | traits | 1 | 48755 | 8 | 0.780 | 62506.4 |
391 | 2021-08-28 12:24:18 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
390 | 2021-05-31 08:21:31 | traits | 1 | 48755 | 8 | 0.893 | 54596.9 |
389 | 2021-04-13 23:11:27 | traits | 2 | 82551 | 121 | 2.500 | 33020.4 |
388 | 2021-02-24 23:08:48 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
387 | 2021-01-27 14:52:46 | traits | 2 | 82551 | 121 | 2.503 | 32980.8 |
386 | 2020-12-29 21:02:30 | traits | 2 | 82551 | 121 | 2.173 | 37989.4 |
385 | 2020-11-19 22:42:58 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
384 | 2020-11-08 02:53:30 | traits | 2 | 82551 | 121 | 2.546 | 32423.8 |
383 | 2020-11-01 10:22:51 | traits | 1 | 48755 | 8 | 0.813 | 59969.2 |
382 | 2020-09-27 18:04:35 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
381 | 2020-09-14 20:00:34 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
380 | 2020-08-24 17:22:11 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
379 | 2020-08-19 16:32:54 | traits | 1 | 48755 | 8 | 0.780 | 62506.4 |
378 | 2020-08-06 23:15:45 | traits | 1 | 48755 | 8 | 0.750 | 65006.7 |
377 | 2020-07-24 16:13:47 | traits | 1 | 48755 | 8 | 0.780 | 62506.4 |
376 | 2020-05-18 10:28:33 | traits | 1 | 48755 | 8 | 0.733 | 66514.3 |
375 | 2020-04-24 05:30:52 | traits | 1 | 48755 | 8 | 0.840 | 58041.7 |
374 | 2020-03-25 06:52:07 | traits | 1 | 48755 | 8 | 0.843 | 57835.1 |
373 | 2020-03-25 01:53:23 | traits | 1 | 48755 | 8 | 0.846 | 57630.0 |
372 | 2020-03-24 13:07:17 | traits | 1 | 48755 | 8 | 0.843 | 57835.1 |
371 | 2020-03-23 11:50:32 | traits | 1 | 48755 | 8 | 0.826 | 59025.4 |
370 | 2020-03-22 01:00:24 | traits | 1 | 48755 | 8 | 0.873 | 55847.7 |
369 | 2020-03-18 01:47:47 | traits | 1 | 48755 | 8 | 0.876 | 55656.4 |
368 | 2020-02-26 23:31:05 | traits | 1 | 48755 | 8 | 0.953 | 51159.5 |
367 | 2020-02-25 14:10:34 | traits | 1 | 48755 | 8 | 0.876 | 55656.4 |
366 | 2020-02-25 10:44:20 | traits | 1 | 48755 | 8 | 0.846 | 57630.0 |
365 | 2020-02-24 00:58:40 | traits | 1 | 48755 | 8 | 0.810 | 60191.4 |
364 | 2020-02-20 17:39:27 | traits | 1 | 48755 | 8 | 0.766 | 63648.8 |
363 | 2020-02-19 08:44:18 | traits | 1 | 48755 | 8 | 1.016 | 47987.2 |
362 | 2020-02-17 02:27:21 | traits | 1 | 48755 | 8 | 2.343 | 20808.8 |
361 | 2020-02-15 13:28:18 | traits | 1 | 48755 | 8 | 0.906 | 53813.5 |
360 | 2020-02-10 15:30:03 | traits | 1 | 48755 | 8 | 1.016 | 47987.2 |
359 | 2020-01-31 02:05:06 | traits | 1 | 48755 | 8 | 2.843 | 17149.1 |
358 | 2020-01-30 06:50:38 | traits | 1 | 48755 | 8 | 0.936 | 52088.7 |
357 | 2020-01-30 01:32:12 | traits | 1 | 48755 | 8 | 0.763 | 63899.1 |
356 | 2020-01-29 17:42:40 | traits | 1 | 48755 | 8 | 0.893 | 54596.9 |
355 | 2020-01-26 22:44:37 | traits | 1 | 48755 | 8 | 0.906 | 53813.5 |
354 | 2020-01-22 00:45:00 | traits | 1 | 48755 | 8 | 1.970 | 24748.7 |
353 | 2020-01-12 22:19:28 | traits | 1 | 48755 | 8 | 0.873 | 55847.7 |
352 | 2020-01-12 08:49:39 | traits | 1 | 48755 | 8 | 0.923 | 52822.3 |
351 | 2020-01-10 10:08:39 | traits | 1 | 48755 | 8 | 1.810 | 26936.5 |
350 | 2020-01-03 21:39:03 | traits | 1 | 48755 | 8 | 1.610 | 30282.6 |
349 | 2019-12-27 12:00:47 | traits | 1 | 48755 | 8 | 1.736 | 28084.7 |
348 | 2019-12-26 07:46:25 | traits | 1 | 48755 | 8 | 0.920 | 52994.6 |
347 | 2019-12-26 01:49:32 | traits | 1 | 48755 | 8 | 1.063 | 45865.5 |
346 | 2019-12-25 00:32:11 | traits | 1 | 48755 | 8 | 0.860 | 56691.9 |
345 | 2019-12-24 09:27:47 | traits | 1 | 48755 | 8 | 0.860 | 56691.9 |
344 | 2019-11-15 16:58:23 | traits | 1 | 48755 | 8 | 0.763 | 63899.1 |
343 | 2019-10-28 12:11:24 | traits | 1 | 48755 | 8 | 0.810 | 60191.4 |
342 | 2019-08-14 07:29:06 | traits | 1 | 48755 | 8 | 0.870 | 56040.2 |