History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"treads"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
440 | 2024-04-27 21:10:21 | treads | 2 | 82551 | 111 | 13.343 | 6186.8 |
439 | 2024-04-14 23:17:27 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
438 | 2024-04-14 23:11:53 | treads | 1 | 48755 | 10 | 1.373 | 35509.8 |
437 | 2024-04-14 23:05:34 | treads | 1 | 48755 | 10 | 2.423 | 20121.7 |
436 | 2024-04-08 20:37:02 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
435 | 2024-03-31 06:17:32 | treads | 1 | 48755 | 10 | 0.953 | 51159.5 |
434 | 2024-03-28 04:50:35 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
433 | 2024-02-28 05:24:21 | treads | 2 | 82551 | 111 | 3.030 | 27244.6 |
432 | 2024-02-28 05:24:15 | treads | 1 | 48755 | 10 | 1.076 | 45311.3 |
431 | 2024-02-28 01:11:05 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
430 | 2024-01-30 03:43:50 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
429 | 2024-01-24 16:50:27 | treads | 2 | 82551 | 111 | 2.626 | 31436.0 |
428 | 2024-01-23 13:14:07 | treads | 2 | 82551 | 111 | 9.000 | 9172.3 |
427 | 2024-01-22 11:43:53 | treads | 2 | 82551 | 111 | 3.003 | 27489.5 |
426 | 2024-01-21 14:52:42 | treads | 2 | 82551 | 111 | 2.640 | 31269.3 |
425 | 2023-12-26 16:42:57 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
424 | 2023-12-17 04:51:02 | treads | 1 | 48755 | 10 | 0.846 | 57630.0 |
423 | 2023-12-09 23:02:43 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
422 | 2023-11-18 22:31:59 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
421 | 2023-11-15 12:36:58 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
420 | 2023-11-08 13:26:02 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
419 | 2023-11-03 16:41:42 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
418 | 2023-11-02 13:41:47 | treads | 2 | 82551 | 111 | 2.453 | 33653.1 |
417 | 2023-10-31 09:49:40 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
416 | 2023-10-20 10:37:19 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
415 | 2023-10-15 19:18:46 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
414 | 2023-10-12 02:10:13 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
413 | 2023-10-03 16:16:38 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
412 | 2023-09-28 10:08:44 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
411 | 2023-09-26 01:44:51 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
410 | 2023-09-15 07:43:19 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
409 | 2023-09-14 04:09:50 | treads | 1 | 48755 | 10 | 0.813 | 59969.2 |
408 | 2023-08-27 00:28:44 | treads | 1 | 48755 | 10 | 0.736 | 66243.2 |
407 | 2023-08-11 05:23:31 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
406 | 2023-08-08 22:17:57 | treads | 2 | 82551 | 111 | 2.156 | 38289.0 |
405 | 2023-05-15 20:11:04 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
404 | 2023-05-13 18:20:10 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
403 | 2023-04-22 01:34:05 | treads | 2 | 82551 | 111 | 2.173 | 37989.4 |
402 | 2023-03-07 17:19:06 | treads | 1 | 48755 | 10 | 0.810 | 60191.4 |
401 | 2023-01-27 11:26:03 | treads | 2 | 82551 | 111 | 2.500 | 33020.4 |
400 | 2023-01-26 10:20:39 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
399 | 2022-12-28 03:14:36 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
398 | 2022-12-18 16:28:52 | treads | 1 | 48755 | 10 | 0.813 | 59969.2 |
397 | 2022-11-13 15:59:05 | treads | 1 | 48755 | 10 | 0.736 | 66243.2 |
396 | 2022-11-08 11:38:25 | treads | 2 | 82551 | 111 | 2.280 | 36206.6 |
395 | 2022-10-08 10:35:33 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
394 | 2022-09-17 17:27:00 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
393 | 2022-09-01 03:12:24 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
392 | 2022-05-24 22:38:42 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
391 | 2022-05-05 03:03:45 | treads | 2 | 82551 | 111 | 2.216 | 37252.3 |
390 | 2022-04-27 04:50:58 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
389 | 2022-01-23 09:13:28 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
388 | 2022-01-18 11:42:41 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
387 | 2022-01-16 08:36:35 | treads | 1 | 48755 | 10 | 0.736 | 66243.2 |
386 | 2021-11-16 06:07:06 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
385 | 2021-11-14 05:06:57 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
384 | 2021-09-30 16:54:24 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
383 | 2021-09-29 18:36:06 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
382 | 2021-08-26 02:02:05 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
381 | 2021-08-23 22:04:57 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
380 | 2021-07-14 17:17:57 | treads | 1 | 48755 | 10 | 0.983 | 49598.2 |
379 | 2021-07-01 07:14:56 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
378 | 2021-05-03 20:23:07 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
377 | 2021-04-24 18:44:49 | treads | 1 | 48755 | 10 | 1.780 | 27390.4 |
376 | 2021-03-31 08:20:21 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
375 | 2021-02-25 20:33:09 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
374 | 2021-01-17 01:03:18 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
373 | 2020-12-26 20:57:56 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
372 | 2020-11-22 08:23:03 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
371 | 2020-11-13 00:36:27 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
370 | 2020-10-22 07:44:18 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
369 | 2020-10-20 04:07:31 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
368 | 2020-09-29 14:12:29 | treads | 1 | 48755 | 10 | 0.736 | 66243.2 |
367 | 2020-09-23 04:27:42 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
366 | 2020-09-05 16:10:31 | treads | 1 | 48755 | 10 | 0.813 | 59969.2 |
365 | 2020-08-14 18:31:13 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
364 | 2020-08-06 19:02:29 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
363 | 2020-07-20 08:33:45 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
362 | 2020-07-19 08:01:52 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
361 | 2020-07-15 10:43:37 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
360 | 2020-06-15 03:50:46 | treads | 1 | 48755 | 10 | 0.783 | 62266.9 |
359 | 2020-06-14 07:41:34 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
358 | 2020-06-13 07:44:08 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
357 | 2020-06-12 04:38:32 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
356 | 2020-06-08 07:26:49 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
355 | 2020-05-26 06:40:33 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
354 | 2020-05-25 07:20:19 | treads | 1 | 48755 | 10 | 0.733 | 66514.3 |
353 | 2020-05-22 13:22:28 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
352 | 2020-05-21 13:25:06 | treads | 1 | 48755 | 10 | 0.810 | 60191.4 |
351 | 2020-03-26 04:55:34 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
350 | 2020-03-23 19:27:45 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
349 | 2020-03-23 11:36:59 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
348 | 2020-03-23 02:34:44 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
347 | 2020-03-21 13:24:53 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
346 | 2020-03-20 08:57:37 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
345 | 2020-03-18 14:50:56 | treads | 1 | 48755 | 10 | 0.813 | 59969.2 |
344 | 2020-02-27 01:48:53 | treads | 1 | 48755 | 10 | 0.956 | 50999.0 |
343 | 2020-02-26 13:24:45 | treads | 1 | 48755 | 10 | 2.123 | 22965.1 |
342 | 2020-02-24 20:34:40 | treads | 1 | 48755 | 10 | 1.000 | 48755.0 |
341 | 2020-02-24 11:50:12 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |