History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"gender"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
461 | 2024-04-26 20:08:50 | gender | 1 | 48755 | 13 | 0.860 | 56691.9 |
460 | 2024-04-25 14:49:40 | gender | 1 | 48755 | 13 | 0.846 | 57630.0 |
459 | 2024-04-24 12:53:35 | gender | 1 | 48755 | 13 | 1.356 | 35955.0 |
458 | 2024-04-10 10:54:08 | gender | 2 | 82551 | 141 | 6.530 | 12641.8 |
457 | 2024-04-08 16:26:42 | gender | 1 | 48755 | 13 | 1.063 | 45865.5 |
456 | 2024-04-08 16:26:25 | gender | 2 | 82551 | 141 | 5.296 | 15587.4 |
455 | 2024-04-08 16:26:21 | gender | 1 | 48755 | 13 | 2.313 | 21078.7 |
454 | 2024-03-20 18:37:10 | gender | 2 | 82551 | 141 | 2.826 | 29211.3 |
453 | 2024-03-08 23:15:26 | gender | 1 | 48755 | 13 | 1.843 | 26454.2 |
452 | 2024-03-08 23:15:18 | gender | 2 | 82551 | 141 | 2.763 | 29877.3 |
451 | 2024-03-08 23:15:13 | gender | 1 | 48755 | 13 | 0.873 | 55847.7 |
450 | 2024-02-28 16:50:12 | gender | 1 | 48755 | 13 | 2.046 | 23829.4 |
449 | 2024-02-06 13:06:51 | gender | 2 | 82551 | 141 | 2.123 | 38884.1 |
448 | 2024-02-06 02:19:58 | gender | 2 | 82551 | 141 | 2.063 | 40015.0 |
447 | 2024-02-06 02:19:54 | gender | 1 | 48755 | 13 | 0.873 | 55847.7 |
446 | 2024-01-29 07:44:46 | gender | 2 | 82551 | 141 | 2.513 | 32849.6 |
445 | 2024-01-29 04:16:01 | gender | 2 | 82551 | 141 | 2.580 | 31996.5 |
444 | 2024-01-14 10:10:51 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
443 | 2024-01-06 21:01:44 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
442 | 2023-12-30 07:45:14 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
441 | 2023-11-16 00:36:59 | gender | 2 | 82551 | 141 | 2.483 | 33246.5 |
440 | 2023-11-16 00:24:26 | gender | 1 | 48755 | 13 | 0.830 | 58741.0 |
439 | 2023-11-14 23:00:47 | gender | 2 | 82551 | 141 | 2.406 | 34310.5 |
438 | 2023-11-12 10:15:46 | gender | 1 | 48755 | 13 | 0.780 | 62506.4 |
437 | 2023-11-08 01:22:00 | gender | 2 | 82551 | 141 | 2.140 | 38575.2 |
436 | 2023-11-05 02:38:38 | gender | 1 | 48755 | 13 | 1.533 | 31803.7 |
435 | 2023-10-22 19:47:25 | gender | 1 | 48755 | 13 | 0.860 | 56691.9 |
434 | 2023-10-19 11:26:56 | gender | 1 | 48755 | 13 | 0.826 | 59025.4 |
433 | 2023-10-19 00:42:51 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
432 | 2023-10-13 10:04:49 | gender | 1 | 48755 | 13 | 0.796 | 61250.0 |
431 | 2023-10-10 19:12:11 | gender | 1 | 48755 | 13 | 0.873 | 55847.7 |
430 | 2023-10-08 17:50:29 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
429 | 2023-09-29 02:16:43 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
428 | 2023-09-17 01:15:15 | gender | 1 | 48755 | 13 | 0.843 | 57835.1 |
427 | 2023-08-14 10:59:56 | gender | 1 | 48755 | 13 | 0.796 | 61250.0 |
426 | 2023-08-12 07:53:11 | gender | 2 | 82551 | 141 | 2.106 | 39198.0 |
425 | 2023-07-01 01:44:52 | gender | 1 | 48755 | 13 | 0.736 | 66243.2 |
424 | 2023-05-14 20:53:21 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
423 | 2023-04-25 11:02:42 | gender | 2 | 82551 | 141 | 2.090 | 39498.1 |
422 | 2023-03-28 08:22:24 | gender | 1 | 48755 | 13 | 0.736 | 66243.2 |
421 | 2023-03-08 16:14:27 | gender | 1 | 48755 | 13 | 0.796 | 61250.0 |
420 | 2023-01-29 20:08:58 | gender | 2 | 82551 | 141 | 2.076 | 39764.5 |
419 | 2022-12-30 09:03:45 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
418 | 2022-12-19 13:01:17 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
417 | 2022-11-11 20:30:00 | gender | 2 | 82551 | 141 | 2.173 | 37989.4 |
416 | 2022-09-18 11:40:47 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
415 | 2022-09-18 00:47:31 | gender | 1 | 48755 | 13 | 0.796 | 61250.0 |
414 | 2022-09-12 10:08:05 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
413 | 2022-09-12 04:56:16 | gender | 1 | 48755 | 13 | 0.810 | 60191.4 |
412 | 2022-09-09 11:23:16 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
411 | 2022-08-29 22:30:21 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
410 | 2022-08-15 10:28:31 | gender | 1 | 48755 | 13 | 0.923 | 52822.3 |
409 | 2022-08-14 03:20:51 | gender | 1 | 48755 | 13 | 0.843 | 57835.1 |
408 | 2022-08-06 05:33:56 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
407 | 2022-07-17 18:47:32 | gender | 1 | 48755 | 13 | 0.783 | 62266.9 |
406 | 2022-07-10 03:16:53 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
405 | 2022-07-02 15:11:58 | gender | 1 | 48755 | 13 | 0.736 | 66243.2 |
404 | 2022-06-29 09:13:19 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
403 | 2022-06-15 20:47:18 | gender | 1 | 48755 | 13 | 0.826 | 59025.4 |
402 | 2022-06-14 16:21:46 | gender | 2 | 82551 | 141 | 2.093 | 39441.5 |
401 | 2022-05-10 12:12:27 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
400 | 2022-03-06 10:36:28 | gender | 1 | 48755 | 13 | 0.846 | 57630.0 |
399 | 2022-02-05 15:08:18 | gender | 1 | 48755 | 13 | 0.843 | 57835.1 |
398 | 2021-12-19 00:52:50 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
397 | 2021-11-23 14:37:06 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
396 | 2021-11-04 20:41:07 | gender | 1 | 48755 | 13 | 0.826 | 59025.4 |
395 | 2021-10-26 02:18:43 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
394 | 2021-09-16 08:59:54 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
393 | 2021-08-29 19:55:50 | gender | 1 | 48755 | 13 | 0.860 | 56691.9 |
392 | 2021-08-27 15:16:00 | gender | 1 | 48755 | 13 | 0.736 | 66243.2 |
391 | 2021-08-05 02:43:02 | gender | 1 | 48755 | 13 | 0.733 | 66514.3 |
390 | 2021-05-19 12:21:08 | gender | 1 | 48755 | 13 | 0.783 | 62266.9 |
389 | 2021-04-30 22:12:17 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
388 | 2021-04-19 11:54:38 | gender | 1 | 48755 | 13 | 0.890 | 54780.9 |
387 | 2021-03-22 07:58:28 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
386 | 2021-02-20 03:35:57 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
385 | 2021-01-31 21:05:01 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
384 | 2021-01-26 07:49:19 | gender | 1 | 48755 | 13 | 0.780 | 62506.4 |
383 | 2021-01-22 15:28:04 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
382 | 2020-12-07 01:47:11 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
381 | 2020-10-23 12:37:37 | gender | 1 | 48755 | 13 | 0.763 | 63899.1 |
380 | 2020-10-20 17:19:57 | gender | 2 | 82551 | 141 | 2.140 | 38575.2 |
379 | 2020-10-20 11:46:42 | gender | 1 | 48755 | 13 | 0.893 | 54596.9 |
378 | 2020-09-04 17:41:35 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
377 | 2020-08-31 03:56:11 | gender | 1 | 48755 | 13 | 0.860 | 56691.9 |
376 | 2020-08-27 08:53:06 | gender | 1 | 48755 | 13 | 0.750 | 65006.7 |
375 | 2020-08-26 12:07:25 | gender | 1 | 48755 | 13 | 0.830 | 58741.0 |
374 | 2020-08-16 05:26:00 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
373 | 2020-08-14 18:27:54 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
372 | 2020-08-08 01:22:57 | gender | 1 | 48755 | 13 | 0.780 | 62506.4 |
371 | 2020-07-23 18:52:59 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
370 | 2020-07-18 03:03:03 | gender | 1 | 48755 | 13 | 0.780 | 62506.4 |
369 | 2020-07-17 03:13:20 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
368 | 2020-07-16 03:15:05 | gender | 1 | 48755 | 13 | 0.830 | 58741.0 |
367 | 2020-07-15 18:24:18 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
366 | 2020-05-31 04:01:25 | gender | 1 | 48755 | 13 | 0.766 | 63648.8 |
365 | 2020-05-31 02:03:42 | gender | 1 | 48755 | 13 | 0.830 | 58741.0 |
364 | 2020-05-30 03:23:09 | gender | 1 | 48755 | 13 | 0.796 | 61250.0 |
363 | 2020-05-15 10:19:54 | gender | 1 | 48755 | 13 | 0.813 | 59969.2 |
362 | 2020-04-14 01:53:20 | gender | 1 | 48755 | 13 | 0.860 | 56691.9 |