History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"brown"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
463 | 2024-05-02 00:35:15 | brown | 1 | 28756 | 11 | 1.123 | 25606.4 |
462 | 2024-05-01 20:47:57 | brown | 1 | 28756 | 11 | 1.076 | 26724.9 |
461 | 2024-04-29 14:25:45 | brown | 1 | 28756 | 11 | 1.110 | 25906.3 |
460 | 2024-04-03 06:06:01 | brown | 1 | 28756 | 11 | 0.486 | 59168.7 |
459 | 2024-03-31 03:42:56 | brown | 1 | 28756 | 11 | 0.516 | 55728.7 |
458 | 2024-03-28 23:28:55 | brown | 2 | 53800 | 106 | 3.720 | 14462.4 |
457 | 2024-03-28 23:28:49 | brown | 1 | 28756 | 11 | 0.563 | 51076.4 |
456 | 2024-03-28 23:28:43 | brown | 2 | 53800 | 106 | 1.623 | 33148.5 |
455 | 2024-03-28 23:28:38 | brown | 1 | 28756 | 11 | 0.513 | 56054.6 |
454 | 2024-03-04 00:29:12 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
453 | 2024-02-27 20:26:51 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
452 | 2024-02-26 19:55:46 | brown | 1 | 28756 | 11 | 0.500 | 57512.0 |
451 | 2024-02-03 03:30:35 | brown | 1 | 28756 | 11 | 0.500 | 57512.0 |
450 | 2024-01-28 21:58:19 | brown | 1 | 28756 | 11 | 0.516 | 55728.7 |
449 | 2024-01-28 17:36:41 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
448 | 2024-01-22 03:30:36 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
447 | 2024-01-18 07:01:46 | brown | 2 | 53800 | 106 | 1.550 | 34709.7 |
446 | 2024-01-10 14:33:30 | brown | 2 | 53800 | 106 | 1.530 | 35163.4 |
445 | 2023-12-08 05:34:33 | brown | 1 | 28756 | 11 | 0.986 | 29164.3 |
444 | 2023-12-08 05:34:31 | brown | 1 | 28756 | 11 | 1.000 | 28756.0 |
443 | 2023-12-05 02:50:06 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
442 | 2023-11-18 01:39:01 | brown | 1 | 28756 | 11 | 0.530 | 54256.6 |
441 | 2023-11-15 17:41:01 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
440 | 2023-11-05 04:15:26 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
439 | 2023-10-20 07:21:35 | brown | 1 | 28756 | 11 | 0.546 | 52666.7 |
438 | 2023-10-19 12:12:14 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
437 | 2023-10-11 12:51:14 | brown | 1 | 28756 | 11 | 0.500 | 57512.0 |
436 | 2023-10-07 15:53:59 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
435 | 2023-10-06 23:11:17 | brown | 1 | 28756 | 11 | 0.533 | 53951.2 |
434 | 2023-10-04 08:48:58 | brown | 1 | 28756 | 11 | 0.576 | 49923.6 |
433 | 2023-09-25 07:31:21 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
432 | 2023-09-19 07:08:57 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
431 | 2023-09-10 18:54:43 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
430 | 2023-07-10 16:38:46 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
429 | 2023-06-27 14:12:47 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
428 | 2023-06-23 22:50:03 | brown | 1 | 28756 | 11 | 0.486 | 59168.7 |
427 | 2023-04-16 04:44:41 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
426 | 2023-03-21 14:45:26 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
425 | 2023-02-08 01:34:13 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
424 | 2022-12-13 07:23:12 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
423 | 2022-12-04 19:08:50 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
422 | 2022-09-18 22:11:12 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
421 | 2022-08-26 21:28:48 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
420 | 2022-07-31 09:35:19 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
419 | 2022-07-17 19:44:54 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
418 | 2022-07-03 20:05:16 | brown | 1 | 28756 | 11 | 0.423 | 67981.1 |
417 | 2022-05-18 15:03:12 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
416 | 2022-05-14 01:57:24 | brown | 1 | 28756 | 11 | 0.796 | 36125.6 |
415 | 2022-05-10 17:30:17 | brown | 1 | 28756 | 11 | 0.560 | 51350.0 |
414 | 2022-03-23 15:55:18 | brown | 1 | 28756 | 11 | 0.546 | 52666.7 |
413 | 2022-03-21 12:17:42 | brown | 1 | 28756 | 11 | 0.563 | 51076.4 |
412 | 2022-02-05 21:52:44 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
411 | 2021-12-27 11:51:06 | brown | 1 | 28756 | 11 | 0.546 | 52666.7 |
410 | 2021-11-03 07:18:57 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
409 | 2021-11-01 15:59:44 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
408 | 2021-09-24 21:59:22 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
407 | 2021-08-25 11:25:37 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
406 | 2021-08-23 06:55:18 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
405 | 2021-08-21 01:59:44 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
404 | 2021-08-01 20:43:21 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
403 | 2021-05-30 21:53:52 | brown | 1 | 28756 | 11 | 0.546 | 52666.7 |
402 | 2021-05-05 16:35:59 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
401 | 2021-04-27 10:57:40 | brown | 1 | 28756 | 11 | 0.500 | 57512.0 |
400 | 2021-04-03 19:33:39 | brown | 1 | 28756 | 11 | 0.440 | 65354.5 |
399 | 2021-01-22 21:11:13 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
398 | 2020-11-24 09:05:54 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
397 | 2020-11-01 08:09:10 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
396 | 2020-10-31 12:36:22 | brown | 1 | 28756 | 11 | 0.440 | 65354.5 |
395 | 2020-10-27 22:09:22 | brown | 1 | 28756 | 11 | 0.486 | 59168.7 |
394 | 2020-10-20 19:49:01 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
393 | 2020-09-29 02:35:15 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
392 | 2020-09-13 05:42:39 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
391 | 2020-08-29 10:33:45 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
390 | 2020-08-26 11:15:20 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
389 | 2020-07-27 14:32:39 | brown | 1 | 28756 | 11 | 0.500 | 57512.0 |
388 | 2020-07-15 23:41:27 | brown | 1 | 28756 | 11 | 0.466 | 61708.2 |
387 | 2020-05-17 02:50:13 | brown | 1 | 28756 | 11 | 0.530 | 54256.6 |
386 | 2020-04-08 00:55:02 | brown | 1 | 28756 | 11 | 0.420 | 68466.7 |
385 | 2020-03-25 04:27:47 | brown | 1 | 28756 | 11 | 0.453 | 63479.0 |
384 | 2020-03-24 11:49:06 | brown | 1 | 28756 | 11 | 0.516 | 55728.7 |
383 | 2020-03-23 08:32:51 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
382 | 2020-03-22 21:37:54 | brown | 1 | 28756 | 11 | 0.513 | 56054.6 |
381 | 2020-03-21 07:20:02 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
380 | 2020-03-18 02:36:25 | brown | 1 | 28756 | 11 | 0.516 | 55728.7 |
379 | 2020-02-29 01:09:41 | brown | 1 | 28756 | 11 | 1.703 | 16885.5 |
378 | 2020-02-25 17:44:57 | brown | 1 | 28756 | 11 | 0.516 | 55728.7 |
377 | 2020-02-20 07:26:24 | brown | 1 | 28756 | 11 | 1.046 | 27491.4 |
376 | 2020-02-20 06:42:16 | brown | 1 | 28756 | 11 | 0.546 | 52666.7 |
375 | 2020-02-20 04:38:42 | brown | 1 | 28756 | 11 | 0.656 | 43835.4 |
374 | 2020-02-15 18:02:25 | brown | 1 | 28756 | 11 | 0.483 | 59536.2 |
373 | 2020-02-14 14:00:22 | brown | 1 | 28756 | 11 | 0.563 | 51076.4 |
372 | 2020-02-10 18:31:31 | brown | 1 | 28756 | 11 | 1.186 | 24246.2 |
371 | 2020-01-30 22:53:02 | brown | 1 | 28756 | 11 | 0.750 | 38341.3 |
370 | 2020-01-30 06:47:11 | brown | 1 | 28756 | 11 | 1.186 | 24246.2 |
369 | 2020-01-30 03:23:22 | brown | 1 | 28756 | 11 | 0.436 | 65954.1 |
368 | 2020-01-25 15:35:18 | brown | 1 | 28756 | 11 | 0.580 | 49579.3 |
367 | 2020-01-24 16:01:18 | brown | 1 | 28756 | 11 | 0.576 | 49923.6 |
366 | 2020-01-24 02:15:48 | brown | 1 | 28756 | 11 | 1.143 | 25158.4 |
365 | 2020-01-21 12:43:17 | brown | 1 | 28756 | 11 | 1.420 | 20250.7 |
364 | 2020-01-11 20:30:12 | brown | 1 | 28756 | 11 | 0.470 | 61183.0 |