History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"column"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
481 | 2024-04-27 04:04:28 | column | 1 | 48755 | 2 | 1.216 | 40094.6 |
480 | 2024-04-10 03:48:13 | column | 1 | 48755 | 2 | 1.456 | 33485.6 |
479 | 2024-04-05 17:22:29 | column | 3 | 112716 | 303 | 16.440 | 6856.2 |
478 | 2024-04-05 04:38:38 | column | 3 | 112716 | 303 | 5.533 | 20371.6 |
477 | 2024-04-05 04:38:38 | column | 2 | 82551 | 17 | 3.266 | 25275.9 |
476 | 2024-04-05 04:38:36 | column | 1 | 48755 | 2 | 0.890 | 54780.9 |
475 | 2024-04-01 11:32:01 | column | 2 | 82551 | 17 | 7.516 | 10983.4 |
474 | 2024-03-30 19:39:17 | column | 3 | 112716 | 303 | 16.940 | 6653.8 |
473 | 2024-03-30 13:35:35 | column | 3 | 112716 | 303 | 8.800 | 12808.6 |
472 | 2024-03-30 13:35:36 | column | 2 | 82551 | 17 | 4.030 | 20484.1 |
471 | 2024-03-29 02:19:03 | column | 2 | 82551 | 17 | 9.030 | 9141.9 |
470 | 2024-03-28 22:24:22 | column | 3 | 112716 | 303 | 14.050 | 8022.5 |
469 | 2024-03-28 21:41:50 | column | 1 | 48755 | 2 | 1.890 | 25796.3 |
468 | 2024-03-28 21:41:40 | column | 3 | 112716 | 303 | 11.063 | 10188.6 |
467 | 2024-03-28 21:41:41 | column | 2 | 82551 | 17 | 5.236 | 15766.0 |
466 | 2024-03-28 21:41:35 | column | 1 | 48755 | 2 | 0.903 | 53992.2 |
465 | 2024-03-03 23:32:09 | column | 2 | 82551 | 17 | 7.906 | 10441.6 |
464 | 2024-03-02 05:27:26 | column | 2 | 82551 | 17 | 2.530 | 32628.9 |
463 | 2024-02-29 11:43:19 | column | 3 | 112716 | 303 | 6.656 | 16934.5 |
462 | 2024-02-29 11:43:13 | column | 2 | 82551 | 17 | 5.703 | 14475.0 |
461 | 2024-02-26 15:20:37 | column | 3 | 112716 | 303 | 5.296 | 21283.2 |
460 | 2024-02-26 15:20:38 | column | 2 | 82551 | 17 | 2.546 | 32423.8 |
459 | 2024-02-26 15:20:35 | column | 1 | 48755 | 2 | 0.860 | 56691.9 |
458 | 2024-02-21 04:46:20 | column | 1 | 48755 | 2 | 1.000 | 48755.0 |
457 | 2024-02-05 04:14:06 | column | 2 | 82551 | 17 | 2.783 | 29662.6 |
456 | 2024-02-05 04:13:50 | column | 3 | 112716 | 303 | 6.016 | 18736.0 |
455 | 2024-02-04 22:37:03 | column | 3 | 112716 | 303 | 6.766 | 16659.2 |
454 | 2024-01-08 03:10:17 | column | 1 | 48755 | 2 | 0.893 | 54596.9 |
453 | 2023-12-25 23:32:53 | column | 2 | 82551 | 17 | 2.216 | 37252.3 |
452 | 2023-12-10 03:41:21 | column | 3 | 112716 | 303 | 10.093 | 11167.7 |
451 | 2023-12-08 06:55:12 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
450 | 2023-12-08 06:55:11 | column | 1 | 48755 | 2 | 0.766 | 63648.8 |
449 | 2023-12-06 06:30:52 | column | 3 | 112716 | 303 | 5.656 | 19928.6 |
448 | 2023-12-06 06:30:54 | column | 2 | 82551 | 17 | 2.623 | 31472.0 |
447 | 2023-12-05 08:19:39 | column | 1 | 48755 | 2 | 0.856 | 56956.8 |
446 | 2023-11-25 16:52:20 | column | 1 | 48755 | 2 | 0.843 | 57835.1 |
445 | 2023-11-22 21:20:02 | column | 3 | 112716 | 303 | 5.733 | 19660.9 |
444 | 2023-11-22 21:19:59 | column | 2 | 82551 | 17 | 2.593 | 31836.1 |
443 | 2023-11-14 09:03:27 | column | 3 | 112716 | 303 | 4.830 | 23336.6 |
442 | 2023-11-10 23:11:57 | column | 3 | 112716 | 303 | 5.610 | 20092.0 |
441 | 2023-11-09 12:19:29 | column | 1 | 48755 | 2 | 0.763 | 63899.1 |
440 | 2023-11-02 06:38:49 | column | 3 | 112716 | 303 | 4.936 | 22835.5 |
439 | 2023-11-02 06:38:47 | column | 2 | 82551 | 17 | 2.170 | 38041.9 |
438 | 2023-10-28 03:44:30 | column | 1 | 48755 | 2 | 0.766 | 63648.8 |
437 | 2023-10-20 22:12:08 | column | 1 | 48755 | 2 | 0.890 | 54780.9 |
436 | 2023-10-18 02:23:54 | column | 1 | 48755 | 2 | 0.796 | 61250.0 |
435 | 2023-10-11 22:15:14 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
434 | 2023-10-04 14:13:35 | column | 1 | 48755 | 2 | 0.763 | 63899.1 |
433 | 2023-09-28 12:20:59 | column | 2 | 82551 | 17 | 3.000 | 27517.0 |
432 | 2023-09-24 11:19:48 | column | 1 | 48755 | 2 | 0.873 | 55847.7 |
431 | 2023-09-22 01:57:10 | column | 1 | 48755 | 2 | 0.766 | 63648.8 |
430 | 2023-09-18 19:35:10 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
429 | 2023-09-15 15:46:00 | column | 1 | 48755 | 2 | 0.906 | 53813.5 |
428 | 2023-08-13 00:38:56 | column | 3 | 112716 | 303 | 4.986 | 22606.5 |
427 | 2023-07-09 11:52:58 | column | 2 | 82551 | 17 | 2.483 | 33246.5 |
426 | 2023-07-08 18:39:50 | column | 1 | 48755 | 2 | 1.703 | 28628.9 |
425 | 2023-05-29 14:17:44 | column | 1 | 48755 | 2 | 0.826 | 59025.4 |
424 | 2023-04-24 20:41:27 | column | 3 | 112716 | 303 | 7.173 | 15713.9 |
423 | 2023-04-24 09:04:53 | column | 3 | 112716 | 303 | 5.153 | 21873.9 |
422 | 2023-04-18 09:12:02 | column | 3 | 112716 | 303 | 5.453 | 20670.5 |
421 | 2023-04-13 12:52:20 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
420 | 2023-04-08 17:07:23 | column | 3 | 112716 | 303 | 4.813 | 23419.1 |
419 | 2023-03-28 12:57:37 | column | 2 | 82551 | 17 | 2.143 | 38521.2 |
418 | 2023-03-27 16:02:01 | column | 3 | 112716 | 303 | 5.186 | 21734.7 |
417 | 2023-03-15 14:12:48 | column | 3 | 112716 | 303 | 4.890 | 23050.3 |
416 | 2023-02-16 20:28:33 | column | 1 | 48755 | 2 | 0.843 | 57835.1 |
415 | 2023-02-04 03:50:00 | column | 3 | 112716 | 303 | 4.703 | 23966.8 |
414 | 2023-02-02 18:16:26 | column | 1 | 48755 | 2 | 0.843 | 57835.1 |
413 | 2023-01-27 01:39:28 | column | 3 | 112716 | 303 | 4.750 | 23729.7 |
412 | 2023-01-03 18:44:27 | column | 3 | 112716 | 303 | 4.953 | 22757.1 |
411 | 2022-12-28 23:19:19 | column | 3 | 112716 | 303 | 4.626 | 24365.8 |
410 | 2022-12-26 03:17:34 | column | 2 | 82551 | 17 | 2.173 | 37989.4 |
409 | 2022-12-16 21:02:41 | column | 3 | 112716 | 303 | 4.716 | 23900.8 |
408 | 2022-11-30 21:29:57 | column | 1 | 48755 | 2 | 0.763 | 63899.1 |
407 | 2022-11-20 00:09:02 | column | 3 | 112716 | 303 | 4.673 | 24120.7 |
406 | 2022-11-08 04:45:24 | column | 3 | 112716 | 303 | 4.640 | 24292.2 |
405 | 2022-10-27 00:23:33 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
404 | 2022-09-30 17:43:03 | column | 1 | 48755 | 2 | 0.876 | 55656.4 |
403 | 2022-09-10 12:54:03 | column | 1 | 48755 | 2 | 0.813 | 59969.2 |
402 | 2022-08-24 19:37:23 | column | 2 | 82551 | 17 | 2.170 | 38041.9 |
401 | 2022-07-26 17:33:00 | column | 1 | 48755 | 2 | 0.796 | 61250.0 |
400 | 2022-07-18 18:02:22 | column | 1 | 48755 | 2 | 0.780 | 62506.4 |
399 | 2022-07-17 22:05:13 | column | 1 | 48755 | 2 | 0.860 | 56691.9 |
398 | 2022-07-02 08:23:22 | column | 1 | 48755 | 2 | 0.780 | 62506.4 |
397 | 2022-06-29 20:03:19 | column | 1 | 48755 | 2 | 0.890 | 54780.9 |
396 | 2022-06-25 22:41:00 | column | 1 | 48755 | 2 | 0.796 | 61250.0 |
395 | 2022-06-23 22:09:01 | column | 1 | 48755 | 2 | 0.766 | 63648.8 |
394 | 2022-06-17 02:10:25 | column | 1 | 48755 | 2 | 0.780 | 62506.4 |
393 | 2022-06-15 19:06:59 | column | 1 | 48755 | 2 | 0.813 | 59969.2 |
392 | 2022-06-08 13:50:23 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
391 | 2022-06-01 20:27:27 | column | 1 | 48755 | 2 | 0.826 | 59025.4 |
390 | 2022-06-01 11:44:24 | column | 1 | 48755 | 2 | 0.750 | 65006.7 |
389 | 2022-05-25 15:05:50 | column | 1 | 48755 | 2 | 0.813 | 59969.2 |
388 | 2022-05-18 15:38:45 | column | 1 | 48755 | 2 | 0.766 | 63648.8 |
387 | 2022-05-17 12:13:59 | column | 3 | 112716 | 303 | 6.903 | 16328.6 |
386 | 2022-05-13 22:58:23 | column | 3 | 112716 | 303 | 6.156 | 18309.9 |
385 | 2022-05-06 12:49:03 | column | 3 | 112716 | 303 | 5.906 | 19085.0 |
384 | 2022-04-22 18:05:28 | column | 1 | 48755 | 2 | 0.953 | 51159.5 |
383 | 2022-03-21 11:33:26 | column | 1 | 48755 | 2 | 0.953 | 51159.5 |
382 | 2022-03-19 09:35:56 | column | 1 | 48755 | 2 | 0.890 | 54780.9 |