History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"convex"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
437 | 2024-04-27 06:32:59 | convex | 1 | 48755 | 2 | 1.936 | 25183.4 |
436 | 2024-04-15 17:57:42 | convex | 3 | 112716 | 562 | 4.983 | 22620.1 |
435 | 2024-04-08 05:36:21 | convex | 3 | 112716 | 562 | 6.296 | 17902.8 |
434 | 2024-04-08 05:36:22 | convex | 2 | 82551 | 41 | 2.733 | 30205.3 |
433 | 2024-04-03 15:03:28 | convex | 2 | 82551 | 41 | 8.936 | 9238.0 |
432 | 2024-04-03 15:02:52 | convex | 3 | 112716 | 562 | 6.640 | 16975.3 |
431 | 2024-04-03 15:02:55 | convex | 2 | 82551 | 41 | 3.000 | 27517.0 |
430 | 2024-04-03 15:02:45 | convex | 1 | 48755 | 2 | 1.986 | 24549.3 |
429 | 2024-04-03 15:02:21 | convex | 3 | 112716 | 562 | 6.186 | 18221.1 |
428 | 2024-04-03 13:12:22 | convex | 3 | 112716 | 562 | 14.063 | 8015.1 |
427 | 2024-04-03 13:12:25 | convex | 2 | 82551 | 41 | 9.013 | 9159.1 |
426 | 2024-04-03 13:11:59 | convex | 1 | 48755 | 2 | 2.000 | 24377.5 |
425 | 2024-03-30 04:25:18 | convex | 1 | 48755 | 2 | 4.000 | 12188.8 |
424 | 2024-03-04 09:49:10 | convex | 2 | 82551 | 41 | 2.763 | 29877.3 |
423 | 2024-03-04 09:48:42 | convex | 1 | 48755 | 2 | 1.906 | 25579.7 |
422 | 2024-03-02 02:48:53 | convex | 2 | 82551 | 41 | 4.813 | 17151.7 |
421 | 2024-03-02 02:48:25 | convex | 3 | 112716 | 562 | 6.656 | 16934.5 |
420 | 2024-03-01 00:40:29 | convex | 2 | 82551 | 41 | 2.766 | 29844.9 |
419 | 2024-03-01 00:38:58 | convex | 3 | 112716 | 562 | 6.203 | 18171.2 |
418 | 2024-02-29 20:17:00 | convex | 3 | 112716 | 562 | 5.986 | 18829.9 |
417 | 2024-02-29 20:16:52 | convex | 2 | 82551 | 41 | 5.186 | 15918.0 |
416 | 2024-02-29 09:33:42 | convex | 1 | 48755 | 2 | 0.970 | 50262.9 |
415 | 2024-02-28 14:23:20 | convex | 2 | 82551 | 41 | 2.733 | 30205.3 |
414 | 2024-01-19 06:07:09 | convex | 1 | 48755 | 2 | 0.923 | 52822.3 |
413 | 2023-12-14 02:15:06 | convex | 3 | 112716 | 562 | 5.623 | 20045.5 |
412 | 2023-12-03 12:52:35 | convex | 1 | 48755 | 2 | 0.860 | 56691.9 |
411 | 2023-12-03 12:52:34 | convex | 1 | 48755 | 2 | 0.876 | 55656.4 |
410 | 2023-11-30 10:55:00 | convex | 1 | 48755 | 2 | 0.876 | 55656.4 |
409 | 2023-11-22 05:41:33 | convex | 2 | 82551 | 41 | 2.623 | 31472.0 |
408 | 2023-11-19 15:51:31 | convex | 1 | 48755 | 2 | 0.876 | 55656.4 |
407 | 2023-11-14 22:29:00 | convex | 1 | 48755 | 2 | 0.890 | 54780.9 |
406 | 2023-11-11 20:12:11 | convex | 1 | 48755 | 2 | 0.780 | 62506.4 |
405 | 2023-11-07 11:44:29 | convex | 1 | 48755 | 2 | 0.843 | 57835.1 |
404 | 2023-11-04 21:53:52 | convex | 1 | 48755 | 2 | 0.843 | 57835.1 |
403 | 2023-10-17 13:51:51 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
402 | 2023-10-13 12:55:05 | convex | 1 | 48755 | 2 | 0.936 | 52088.7 |
401 | 2023-10-10 20:36:47 | convex | 1 | 48755 | 2 | 0.780 | 62506.4 |
400 | 2023-09-29 23:52:03 | convex | 3 | 112716 | 562 | 5.953 | 18934.3 |
399 | 2023-09-25 20:15:30 | convex | 1 | 48755 | 2 | 1.876 | 25988.8 |
398 | 2023-09-24 20:40:02 | convex | 1 | 48755 | 2 | 0.780 | 62506.4 |
397 | 2023-09-11 07:47:07 | convex | 3 | 112716 | 562 | 6.030 | 18692.5 |
396 | 2023-09-02 12:39:00 | convex | 1 | 48755 | 2 | 0.846 | 57630.0 |
395 | 2023-08-22 23:21:31 | convex | 2 | 82551 | 41 | 2.346 | 35188.0 |
394 | 2023-06-30 17:30:50 | convex | 1 | 48755 | 2 | 0.953 | 51159.5 |
393 | 2023-06-17 06:32:09 | convex | 1 | 48755 | 2 | 0.780 | 62506.4 |
392 | 2023-06-07 07:45:04 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
391 | 2023-06-01 20:51:17 | convex | 3 | 112716 | 562 | 4.720 | 23880.5 |
390 | 2023-05-07 23:31:17 | convex | 2 | 82551 | 41 | 2.140 | 38575.2 |
389 | 2023-03-29 01:53:52 | convex | 1 | 48755 | 2 | 0.766 | 63648.8 |
388 | 2023-03-19 12:30:53 | convex | 3 | 112716 | 562 | 5.190 | 21717.9 |
387 | 2023-03-09 18:06:10 | convex | 3 | 112716 | 562 | 4.670 | 24136.2 |
386 | 2023-03-01 13:44:21 | convex | 1 | 48755 | 2 | 0.763 | 63899.1 |
385 | 2023-02-15 12:09:45 | convex | 2 | 82551 | 41 | 2.203 | 37472.1 |
384 | 2023-02-14 16:36:03 | convex | 3 | 112716 | 562 | 8.440 | 13355.0 |
383 | 2023-01-11 22:39:40 | convex | 1 | 48755 | 2 | 0.830 | 58741.0 |
382 | 2022-12-26 08:56:33 | convex | 3 | 112716 | 562 | 5.046 | 22337.7 |
381 | 2022-12-15 05:08:11 | convex | 3 | 112716 | 562 | 4.703 | 23966.8 |
380 | 2022-11-25 03:35:10 | convex | 2 | 82551 | 41 | 2.153 | 38342.3 |
379 | 2022-11-12 04:40:31 | convex | 3 | 112716 | 562 | 4.843 | 23274.0 |
378 | 2022-11-09 15:35:02 | convex | 3 | 112716 | 562 | 5.610 | 20092.0 |
377 | 2022-11-09 03:58:11 | convex | 1 | 48755 | 2 | 1.656 | 29441.4 |
376 | 2022-11-05 18:10:42 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
375 | 2022-11-02 19:00:15 | convex | 3 | 112716 | 562 | 5.186 | 21734.7 |
374 | 2022-10-22 02:12:42 | convex | 1 | 48755 | 2 | 0.766 | 63648.8 |
373 | 2022-10-01 01:36:29 | convex | 3 | 112716 | 562 | 4.686 | 24053.8 |
372 | 2022-09-27 18:49:59 | convex | 3 | 112716 | 562 | 4.813 | 23419.1 |
371 | 2022-08-04 06:44:17 | convex | 3 | 112716 | 562 | 4.720 | 23880.5 |
370 | 2022-08-01 22:34:30 | convex | 3 | 112716 | 562 | 5.486 | 20546.1 |
369 | 2022-07-16 04:12:34 | convex | 1 | 48755 | 2 | 0.763 | 63899.1 |
368 | 2022-06-12 04:34:30 | convex | 1 | 48755 | 2 | 0.780 | 62506.4 |
367 | 2022-06-11 03:40:08 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
366 | 2022-06-10 00:33:52 | convex | 1 | 48755 | 2 | 0.856 | 56956.8 |
365 | 2022-06-07 20:06:08 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
364 | 2022-05-08 00:29:32 | convex | 1 | 48755 | 2 | 0.846 | 57630.0 |
363 | 2022-04-27 14:32:36 | convex | 2 | 82551 | 41 | 2.156 | 38289.0 |
362 | 2022-03-25 18:05:54 | convex | 1 | 48755 | 2 | 0.796 | 61250.0 |
361 | 2022-03-10 01:23:54 | convex | 3 | 112716 | 562 | 5.860 | 19234.8 |
360 | 2022-02-13 08:18:08 | convex | 1 | 48755 | 2 | 0.750 | 65006.7 |
359 | 2022-01-05 21:27:55 | convex | 2 | 82551 | 41 | 2.500 | 33020.4 |
358 | 2021-12-30 15:11:04 | convex | 2 | 82551 | 41 | 2.563 | 32208.7 |
357 | 2021-12-23 18:01:14 | convex | 2 | 82551 | 41 | 2.546 | 32423.8 |
356 | 2021-12-23 06:39:38 | convex | 2 | 82551 | 41 | 2.533 | 32590.2 |
355 | 2021-12-22 21:22:05 | convex | 2 | 82551 | 41 | 2.500 | 33020.4 |
354 | 2021-12-22 11:08:53 | convex | 2 | 82551 | 41 | 5.390 | 15315.6 |
353 | 2021-12-22 00:24:25 | convex | 2 | 82551 | 41 | 5.390 | 15315.6 |
352 | 2021-12-21 17:30:10 | convex | 2 | 82551 | 41 | 2.576 | 32046.2 |
351 | 2021-12-21 06:38:36 | convex | 2 | 82551 | 41 | 2.640 | 31269.3 |
350 | 2021-12-20 20:18:56 | convex | 2 | 82551 | 41 | 2.580 | 31996.5 |
349 | 2021-12-20 08:37:12 | convex | 2 | 82551 | 41 | 3.030 | 27244.6 |
348 | 2021-12-20 01:35:35 | convex | 2 | 82551 | 41 | 2.173 | 37989.4 |
347 | 2021-12-17 09:49:46 | convex | 2 | 82551 | 41 | 2.500 | 33020.4 |
346 | 2021-12-16 22:29:08 | convex | 2 | 82551 | 41 | 2.576 | 32046.2 |
345 | 2021-12-16 08:22:05 | convex | 2 | 82551 | 41 | 2.653 | 31116.1 |
344 | 2021-12-15 18:00:40 | convex | 2 | 82551 | 41 | 2.280 | 36206.6 |
343 | 2021-12-15 00:58:23 | convex | 2 | 82551 | 41 | 2.576 | 32046.2 |
342 | 2021-12-13 10:00:38 | convex | 1 | 48755 | 2 | 0.876 | 55656.4 |
341 | 2021-12-09 01:00:15 | convex | 1 | 48755 | 2 | 1.033 | 47197.5 |
340 | 2021-12-05 04:11:35 | convex | 1 | 48755 | 2 | 0.906 | 53813.5 |
339 | 2021-11-22 12:57:45 | convex | 2 | 82551 | 41 | 2.453 | 33653.1 |
338 | 2021-11-21 09:45:03 | convex | 2 | 82551 | 41 | 5.376 | 15355.5 |