History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"outliers"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
450 | 2025-08-05 10:14:17 | outliers | 2 | 121059 | 24 | 16.076 | 7530.4 |
449 | 2025-08-04 12:40:40 | outliers | 1 | 82945 | 5 | 3.750 | 22118.7 |
448 | 2025-08-03 23:12:15 | outliers | 1 | 82945 | 5 | 3.330 | 24908.4 |
447 | 2025-07-29 06:02:17 | outliers | 1 | 82945 | 5 | 6.843 | 12121.1 |
446 | 2025-07-27 05:46:21 | outliers | 1 | 82945 | 5 | 6.796 | 12205.0 |
445 | 2025-07-26 12:16:35 | outliers | 1 | 82945 | 5 | 5.826 | 14237.0 |
444 | 2025-07-21 15:00:52 | outliers | 3 | 146162 | 289 | 7.016 | 20832.7 |
443 | 2025-07-19 12:03:03 | outliers | 3 | 146162 | 289 | 9.063 | 16127.3 |
442 | 2025-07-14 21:24:22 | outliers | 1 | 82945 | 5 | 7.050 | 11765.2 |
441 | 2025-07-12 23:44:51 | outliers | 2 | 121059 | 24 | 4.466 | 27106.8 |
440 | 2025-07-12 18:35:50 | outliers | 3 | 146162 | 289 | 7.533 | 19402.9 |
439 | 2025-07-11 05:12:58 | outliers | 1 | 82945 | 5 | 5.250 | 15799.0 |
438 | 2025-07-09 03:45:09 | outliers | 1 | 82945 | 5 | 7.156 | 11591.0 |
437 | 2025-07-08 16:21:41 | outliers | 3 | 146162 | 289 | 38.393 | 3807.0 |
436 | 2025-07-07 11:26:18 | outliers | 3 | 146162 | 289 | 28.173 | 5188.0 |
435 | 2025-07-07 09:52:53 | outliers | 3 | 146162 | 289 | 24.156 | 6050.8 |
434 | 2025-07-05 15:38:20 | outliers | 2 | 121059 | 24 | 18.346 | 6598.7 |
433 | 2025-07-05 11:19:20 | outliers | 3 | 146162 | 289 | 30.406 | 4807.0 |
432 | 2025-07-04 13:56:36 | outliers | 1 | 82945 | 5 | 10.453 | 7935.0 |
431 | 2025-07-04 08:41:41 | outliers | 1 | 82945 | 5 | 1.670 | 49667.7 |
430 | 2025-07-01 22:22:43 | outliers | 1 | 82945 | 5 | 4.140 | 20035.0 |
429 | 2025-06-28 12:46:06 | outliers | 1 | 82945 | 5 | 6.640 | 12491.7 |
428 | 2025-06-25 05:52:35 | outliers | 1 | 82945 | 5 | 4.970 | 16689.1 |
427 | 2025-06-23 03:28:44 | outliers | 2 | 121059 | 24 | 3.893 | 31096.6 |
426 | 2025-06-22 04:42:08 | outliers | 1 | 82945 | 5 | 3.686 | 22502.7 |
425 | 2025-06-21 07:42:18 | outliers | 1 | 82945 | 5 | 3.236 | 25632.0 |
424 | 2025-06-20 04:29:38 | outliers | 1 | 82945 | 5 | 10.313 | 8042.8 |
423 | 2025-06-18 07:53:17 | outliers | 1 | 82945 | 5 | 3.296 | 25165.4 |
422 | 2025-06-17 16:39:03 | outliers | 1 | 82945 | 5 | 1.406 | 58993.6 |
421 | 2025-06-08 21:07:46 | outliers | 1 | 82945 | 5 | 1.500 | 55296.7 |
420 | 2025-06-04 13:11:21 | outliers | 1 | 82945 | 5 | 10.393 | 7980.9 |
419 | 2025-06-02 14:02:28 | outliers | 1 | 82945 | 5 | 5.110 | 16231.9 |
418 | 2025-06-01 08:02:45 | outliers | 1 | 82945 | 5 | 5.983 | 13863.4 |
417 | 2025-05-28 21:19:16 | outliers | 1 | 82945 | 5 | 3.436 | 24140.0 |
416 | 2025-05-28 11:53:07 | outliers | 1 | 82945 | 5 | 6.830 | 12144.2 |
415 | 2025-05-28 06:25:54 | outliers | 1 | 82945 | 5 | 6.030 | 13755.4 |
414 | 2025-05-18 10:03:37 | outliers | 1 | 82945 | 5 | 3.830 | 21656.7 |
413 | 2025-05-18 08:41:02 | outliers | 1 | 82945 | 5 | 6.783 | 12228.4 |
412 | 2025-05-18 08:40:00 | outliers | 1 | 82945 | 5 | 6.610 | 12548.4 |
411 | 2025-05-18 08:39:14 | outliers | 1 | 82945 | 5 | 7.656 | 10834.0 |
410 | 2025-05-15 23:56:16 | outliers | 1 | 82945 | 5 | 6.876 | 12063.0 |
409 | 2025-05-09 01:02:38 | outliers | 1 | 82945 | 5 | 1.516 | 54713.1 |
408 | 2025-05-04 04:54:28 | outliers | 1 | 82945 | 5 | 7.406 | 11199.7 |
407 | 2025-05-03 23:25:46 | outliers | 3 | 146162 | 289 | 37.283 | 3920.3 |
406 | 2025-05-02 16:27:39 | outliers | 3 | 146162 | 289 | 33.363 | 4381.0 |
405 | 2025-04-30 10:16:44 | outliers | 3 | 146162 | 289 | 33.050 | 4422.5 |
404 | 2025-04-29 07:44:32 | outliers | 1 | 82945 | 5 | 9.720 | 8533.4 |
403 | 2025-04-27 20:45:50 | outliers | 1 | 82945 | 5 | 3.373 | 24590.9 |
402 | 2025-04-26 12:22:21 | outliers | 1 | 82945 | 5 | 4.033 | 20566.6 |
401 | 2025-04-22 11:56:28 | outliers | 1 | 82945 | 5 | 3.063 | 27079.7 |
400 | 2025-04-21 02:47:45 | outliers | 2 | 121059 | 24 | 22.423 | 5398.9 |
399 | 2025-04-20 03:40:34 | outliers | 1 | 82945 | 5 | 4.763 | 17414.4 |
398 | 2025-03-29 10:11:12 | outliers | 1 | 82945 | 5 | 8.800 | 9425.6 |
397 | 2025-03-28 15:04:06 | outliers | 1 | 82945 | 5 | 1.390 | 59672.7 |
396 | 2025-03-22 22:07:35 | outliers | 1 | 82945 | 5 | 7.000 | 11849.3 |
395 | 2025-03-20 04:04:27 | outliers | 1 | 82945 | 5 | 4.843 | 17126.8 |
394 | 2025-03-10 03:35:49 | outliers | 1 | 82945 | 5 | 4.266 | 19443.3 |
393 | 2025-02-23 07:52:29 | outliers | 2 | 121059 | 24 | 13.766 | 8794.1 |
392 | 2025-02-23 07:50:46 | outliers | 1 | 82945 | 5 | 3.813 | 21753.2 |
391 | 2025-02-16 08:29:26 | outliers | 3 | 146162 | 289 | 24.533 | 5957.8 |
390 | 2025-02-14 17:13:35 | outliers | 1 | 82945 | 5 | 6.750 | 12288.1 |
389 | 2025-02-13 12:11:48 | outliers | 1 | 82945 | 5 | 8.170 | 10152.4 |
388 | 2025-02-12 11:46:26 | outliers | 1 | 82945 | 5 | 5.826 | 14237.0 |
387 | 2025-02-03 13:41:29 | outliers | 3 | 146162 | 289 | 32.243 | 4533.1 |
386 | 2025-02-01 18:57:07 | outliers | 3 | 146162 | 289 | 39.173 | 3731.2 |
385 | 2025-01-29 18:34:42 | outliers | 1 | 82945 | 5 | 3.126 | 26533.9 |
384 | 2025-01-27 17:42:55 | outliers | 2 | 121059 | 24 | 16.516 | 7329.8 |
383 | 2025-01-27 12:48:11 | outliers | 2 | 121059 | 24 | 11.093 | 10913.1 |
382 | 2025-01-26 10:41:26 | outliers | 2 | 121059 | 24 | 10.140 | 11938.8 |
381 | 2025-01-25 14:44:21 | outliers | 2 | 121059 | 24 | 32.406 | 3735.7 |
380 | 2025-01-25 14:42:18 | outliers | 3 | 146162 | 289 | 7.530 | 19410.6 |
379 | 2025-01-23 16:27:05 | outliers | 3 | 146162 | 289 | 19.673 | 7429.6 |
378 | 2025-01-19 15:15:28 | outliers | 1 | 82945 | 5 | 6.453 | 12853.7 |
377 | 2025-01-14 23:08:58 | outliers | 1 | 82945 | 5 | 3.796 | 21850.6 |
376 | 2025-01-05 21:59:39 | outliers | 1 | 82945 | 5 | 7.860 | 10552.8 |
375 | 2024-12-30 02:35:35 | outliers | 1 | 82945 | 5 | 8.313 | 9977.7 |
374 | 2024-12-28 21:49:11 | outliers | 3 | 146162 | 289 | 35.673 | 4097.3 |
373 | 2024-12-28 21:03:58 | outliers | 3 | 146162 | 289 | 32.720 | 4467.1 |
372 | 2024-12-27 16:56:10 | outliers | 2 | 121059 | 24 | 18.830 | 6429.0 |
371 | 2024-12-26 22:20:52 | outliers | 3 | 146162 | 289 | 59.973 | 2437.1 |
370 | 2024-12-26 11:01:38 | outliers | 3 | 146162 | 289 | 29.423 | 4967.6 |
369 | 2024-12-26 06:27:47 | outliers | 2 | 121059 | 24 | 17.893 | 6765.7 |
368 | 2024-12-26 05:49:03 | outliers | 3 | 146162 | 289 | 7.080 | 20644.4 |
367 | 2024-12-26 05:26:06 | outliers | 3 | 146162 | 289 | 32.096 | 4553.9 |
366 | 2024-12-12 13:03:50 | outliers | 1 | 82945 | 5 | 4.563 | 18177.7 |
365 | 2024-12-10 20:25:02 | outliers | 1 | 82945 | 5 | 7.080 | 11715.4 |
364 | 2024-12-06 16:02:59 | outliers | 1 | 82945 | 5 | 5.530 | 14999.1 |
363 | 2024-11-29 03:10:29 | outliers | 1 | 82945 | 5 | 7.000 | 11849.3 |
362 | 2024-11-12 10:37:09 | outliers | 1 | 82945 | 5 | 6.550 | 12663.4 |
361 | 2024-11-11 17:04:37 | outliers | 2 | 121059 | 24 | 23.203 | 5217.4 |
360 | 2024-11-10 17:35:08 | outliers | 2 | 121059 | 24 | 16.610 | 7288.3 |
359 | 2024-11-10 13:40:29 | outliers | 1 | 82945 | 5 | 1.906 | 43517.8 |
358 | 2024-11-08 02:27:20 | outliers | 3 | 146162 | 289 | 37.656 | 3881.5 |
357 | 2024-11-07 23:45:28 | outliers | 3 | 146162 | 289 | 32.000 | 4567.6 |
356 | 2024-11-07 16:12:16 | outliers | 3 | 146162 | 289 | 7.420 | 19698.4 |
355 | 2024-11-07 13:24:11 | outliers | 3 | 146162 | 289 | 7.766 | 18820.8 |
354 | 2024-11-07 13:24:12 | outliers | 2 | 121059 | 24 | 3.873 | 31257.2 |
353 | 2024-11-05 05:46:06 | outliers | 1 | 82945 | 5 | 3.580 | 23169.0 |
352 | 2024-10-30 00:17:02 | outliers | 1 | 82945 | 5 | 9.513 | 8719.1 |
351 | 2024-10-25 17:35:17 | outliers | 1 | 82945 | 5 | 6.703 | 12374.3 |