History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"calked"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
440 | 2024-04-27 21:03:35 | calked | 1 | 48755 | 13 | 3.453 | 14119.6 |
439 | 2024-04-25 14:17:22 | calked | 1 | 48755 | 13 | 1.236 | 39445.8 |
438 | 2024-04-20 21:46:10 | calked | 1 | 48755 | 13 | 2.000 | 24377.5 |
437 | 2024-04-03 09:03:53 | calked | 1 | 48755 | 13 | 2.970 | 16415.8 |
436 | 2024-03-28 19:51:50 | calked | 1 | 48755 | 13 | 1.656 | 29441.4 |
435 | 2024-03-17 19:57:22 | calked | 1 | 48755 | 13 | 2.923 | 16679.8 |
434 | 2024-03-05 21:04:34 | calked | 1 | 48755 | 13 | 0.876 | 55656.4 |
433 | 2024-03-04 08:57:47 | calked | 1 | 48755 | 13 | 1.000 | 48755.0 |
432 | 2024-03-01 10:28:20 | calked | 1 | 48755 | 13 | 2.376 | 20519.8 |
431 | 2024-02-27 14:39:31 | calked | 2 | 82551 | 160 | 2.656 | 31080.9 |
430 | 2024-02-26 14:31:00 | calked | 2 | 82551 | 160 | 3.796 | 21746.8 |
429 | 2024-02-26 14:30:57 | calked | 1 | 48755 | 13 | 0.940 | 51867.0 |
428 | 2024-02-14 18:39:30 | calked | 2 | 82551 | 160 | 2.843 | 29036.6 |
427 | 2024-02-14 18:39:23 | calked | 1 | 48755 | 13 | 0.800 | 60943.8 |
426 | 2024-01-27 11:05:25 | calked | 1 | 48755 | 13 | 0.906 | 53813.5 |
425 | 2024-01-08 12:22:18 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
424 | 2024-01-05 10:09:47 | calked | 1 | 48755 | 13 | 0.873 | 55847.7 |
423 | 2023-12-18 10:32:26 | calked | 2 | 82551 | 160 | 2.233 | 36968.7 |
422 | 2023-12-06 12:15:22 | calked | 2 | 82551 | 160 | 2.500 | 33020.4 |
421 | 2023-12-03 21:21:00 | calked | 1 | 48755 | 13 | 1.030 | 47335.0 |
420 | 2023-12-03 21:20:59 | calked | 1 | 48755 | 13 | 0.936 | 52088.7 |
419 | 2023-11-26 15:23:54 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
418 | 2023-11-11 00:10:41 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
417 | 2023-11-08 04:18:11 | calked | 1 | 48755 | 13 | 0.826 | 59025.4 |
416 | 2023-10-31 17:40:28 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
415 | 2023-10-29 09:58:09 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
414 | 2023-10-29 09:28:30 | calked | 1 | 48755 | 13 | 0.966 | 50471.0 |
413 | 2023-10-19 14:22:51 | calked | 1 | 48755 | 13 | 0.813 | 59969.2 |
412 | 2023-10-13 10:13:43 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
411 | 2023-10-09 01:17:51 | calked | 1 | 48755 | 13 | 0.763 | 63899.1 |
410 | 2023-09-25 13:36:40 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
409 | 2023-09-16 14:03:08 | calked | 1 | 48755 | 13 | 0.860 | 56691.9 |
408 | 2023-08-23 02:15:00 | calked | 1 | 48755 | 13 | 0.846 | 57630.0 |
407 | 2023-07-24 16:38:17 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
406 | 2023-05-24 07:04:50 | calked | 1 | 48755 | 13 | 0.953 | 51159.5 |
405 | 2023-05-12 22:34:48 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
404 | 2023-04-16 14:41:26 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
403 | 2023-04-12 21:51:55 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
402 | 2023-04-05 10:24:53 | calked | 1 | 48755 | 13 | 0.813 | 59969.2 |
401 | 2023-04-04 06:54:08 | calked | 1 | 48755 | 13 | 0.890 | 54780.9 |
400 | 2023-01-27 17:12:02 | calked | 1 | 48755 | 13 | 0.750 | 65006.7 |
399 | 2023-01-07 20:31:19 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
398 | 2023-01-06 12:32:53 | calked | 1 | 48755 | 13 | 0.750 | 65006.7 |
397 | 2022-12-13 01:32:01 | calked | 1 | 48755 | 13 | 0.750 | 65006.7 |
396 | 2022-11-28 17:48:34 | calked | 1 | 48755 | 13 | 0.763 | 63899.1 |
395 | 2022-11-12 07:01:16 | calked | 1 | 48755 | 13 | 1.640 | 29728.7 |
394 | 2022-11-06 10:38:54 | calked | 1 | 48755 | 13 | 0.860 | 56691.9 |
393 | 2022-10-04 22:09:10 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
392 | 2022-09-28 19:29:04 | calked | 1 | 48755 | 13 | 0.970 | 50262.9 |
391 | 2022-06-30 14:13:56 | calked | 1 | 48755 | 13 | 0.783 | 62266.9 |
390 | 2022-06-18 00:50:04 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
389 | 2022-06-14 07:11:43 | calked | 1 | 48755 | 13 | 0.846 | 57630.0 |
388 | 2022-05-12 01:43:58 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
387 | 2022-05-09 20:58:26 | calked | 1 | 48755 | 13 | 1.203 | 40527.8 |
386 | 2022-05-05 15:23:21 | calked | 1 | 48755 | 13 | 0.936 | 52088.7 |
385 | 2022-03-27 17:37:34 | calked | 1 | 48755 | 13 | 1.703 | 28628.9 |
384 | 2022-03-02 13:05:51 | calked | 1 | 48755 | 13 | 1.063 | 45865.5 |
383 | 2022-02-20 15:33:05 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
382 | 2022-01-24 13:04:51 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
381 | 2022-01-12 18:45:49 | calked | 1 | 48755 | 13 | 0.843 | 57835.1 |
380 | 2022-01-04 14:38:49 | calked | 1 | 48755 | 13 | 0.813 | 59969.2 |
379 | 2021-12-03 23:50:19 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
378 | 2021-11-26 07:40:27 | calked | 1 | 48755 | 13 | 0.860 | 56691.9 |
377 | 2021-11-22 05:16:02 | calked | 1 | 48755 | 13 | 0.860 | 56691.9 |
376 | 2021-11-18 20:02:19 | calked | 1 | 48755 | 13 | 0.783 | 62266.9 |
375 | 2021-11-15 21:01:58 | calked | 1 | 48755 | 13 | 0.873 | 55847.7 |
374 | 2021-11-10 10:13:14 | calked | 1 | 48755 | 13 | 0.906 | 53813.5 |
373 | 2021-10-03 15:14:57 | calked | 1 | 48755 | 13 | 0.873 | 55847.7 |
372 | 2021-09-05 17:55:51 | calked | 1 | 48755 | 13 | 0.783 | 62266.9 |
371 | 2021-08-21 07:33:22 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
370 | 2021-08-16 01:05:05 | calked | 1 | 48755 | 13 | 0.750 | 65006.7 |
369 | 2021-07-08 17:10:14 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
368 | 2021-06-23 06:40:35 | calked | 1 | 48755 | 13 | 1.780 | 27390.4 |
367 | 2021-06-13 02:18:18 | calked | 1 | 48755 | 13 | 0.890 | 54780.9 |
366 | 2021-06-03 22:43:25 | calked | 1 | 48755 | 13 | 0.906 | 53813.5 |
365 | 2021-05-11 23:54:25 | calked | 1 | 48755 | 13 | 0.876 | 55656.4 |
364 | 2021-04-24 04:08:25 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
363 | 2021-04-20 06:35:00 | calked | 1 | 48755 | 13 | 0.903 | 53992.2 |
362 | 2021-03-26 04:02:46 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
361 | 2021-03-17 10:23:32 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
360 | 2021-02-28 08:01:40 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
359 | 2021-02-07 14:14:33 | calked | 1 | 48755 | 13 | 0.783 | 62266.9 |
358 | 2020-12-10 22:05:47 | calked | 1 | 48755 | 13 | 0.843 | 57835.1 |
357 | 2020-11-15 16:44:50 | calked | 1 | 48755 | 13 | 0.780 | 62506.4 |
356 | 2020-11-05 19:52:09 | calked | 1 | 48755 | 13 | 0.893 | 54596.9 |
355 | 2020-10-30 16:59:37 | calked | 1 | 48755 | 13 | 0.783 | 62266.9 |
354 | 2020-10-08 22:05:06 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
353 | 2020-09-06 14:03:18 | calked | 1 | 48755 | 13 | 0.796 | 61250.0 |
352 | 2020-08-21 01:12:02 | calked | 1 | 48755 | 13 | 0.953 | 51159.5 |
351 | 2020-08-18 06:08:46 | calked | 1 | 48755 | 13 | 0.936 | 52088.7 |
350 | 2020-08-04 23:32:22 | calked | 1 | 48755 | 13 | 0.810 | 60191.4 |
349 | 2020-08-01 21:09:27 | calked | 1 | 48755 | 13 | 0.813 | 59969.2 |
348 | 2020-08-01 18:04:34 | calked | 1 | 48755 | 13 | 0.903 | 53992.2 |
347 | 2020-07-26 05:24:53 | calked | 1 | 48755 | 13 | 0.810 | 60191.4 |
346 | 2020-05-17 17:52:10 | calked | 1 | 48755 | 13 | 0.766 | 63648.8 |
345 | 2020-05-15 05:38:52 | calked | 1 | 48755 | 13 | 0.763 | 63899.1 |
344 | 2020-04-30 06:52:40 | calked | 1 | 48755 | 13 | 0.876 | 55656.4 |
343 | 2020-03-28 02:53:51 | calked | 1 | 48755 | 13 | 0.923 | 52822.3 |
342 | 2020-03-27 23:09:46 | calked | 1 | 48755 | 13 | 0.876 | 55656.4 |
341 | 2020-03-24 09:50:04 | calked | 1 | 48755 | 13 | 1.000 | 48755.0 |