History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"clustery"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
476 | 2025-08-28 04:26:16 | clustery | 2 | 121059 | 21 | 3.640 | 33258.0 |
475 | 2025-08-27 08:43:45 | clustery | 1 | 82945 | 5 | 1.406 | 58993.6 |
474 | 2025-08-25 03:19:39 | clustery | 1 | 82945 | 5 | 3.596 | 23065.9 |
473 | 2025-08-24 16:34:46 | clustery | 1 | 82945 | 5 | 1.466 | 56579.1 |
472 | 2025-08-17 16:01:08 | clustery | 2 | 121059 | 21 | 8.436 | 14350.3 |
471 | 2025-08-15 11:45:34 | clustery | 1 | 82945 | 5 | 3.453 | 24021.1 |
470 | 2025-08-10 11:10:28 | clustery | 1 | 82945 | 5 | 3.326 | 24938.4 |
469 | 2025-08-06 04:39:31 | clustery | 3 | 146162 | 182 | 47.270 | 3092.1 |
468 | 2025-08-05 13:12:43 | clustery | 3 | 146162 | 182 | 17.816 | 8204.0 |
467 | 2025-08-05 05:05:44 | clustery | 2 | 121059 | 21 | 16.500 | 7336.9 |
466 | 2025-08-04 13:48:52 | clustery | 1 | 82945 | 5 | 6.126 | 13539.8 |
465 | 2025-08-04 05:40:43 | clustery | 1 | 82945 | 5 | 3.690 | 22478.3 |
464 | 2025-08-03 08:12:28 | clustery | 2 | 121059 | 21 | 18.250 | 6633.4 |
463 | 2025-08-03 06:27:23 | clustery | 3 | 146162 | 182 | 37.706 | 3876.4 |
462 | 2025-08-01 09:06:51 | clustery | 1 | 82945 | 5 | 3.890 | 21322.6 |
461 | 2025-07-31 14:39:39 | clustery | 1 | 82945 | 5 | 1.563 | 53067.8 |
460 | 2025-07-25 09:02:59 | clustery | 1 | 82945 | 5 | 3.546 | 23391.1 |
459 | 2025-07-25 04:41:18 | clustery | 1 | 82945 | 5 | 3.110 | 26670.4 |
458 | 2025-07-24 05:07:26 | clustery | 1 | 82945 | 5 | 7.170 | 11568.3 |
457 | 2025-07-23 06:09:11 | clustery | 1 | 82945 | 5 | 6.406 | 12948.0 |
456 | 2025-07-23 03:31:23 | clustery | 1 | 82945 | 5 | 4.153 | 19972.3 |
455 | 2025-07-18 16:30:21 | clustery | 1 | 82945 | 5 | 6.736 | 12313.7 |
454 | 2025-07-16 22:33:02 | clustery | 1 | 82945 | 5 | 5.376 | 15428.8 |
453 | 2025-07-16 19:48:14 | clustery | 1 | 82945 | 5 | 8.096 | 10245.2 |
452 | 2025-07-11 19:44:01 | clustery | 2 | 121059 | 21 | 9.093 | 13313.4 |
451 | 2025-07-10 11:31:49 | clustery | 1 | 82945 | 5 | 1.483 | 55930.5 |
450 | 2025-07-03 11:41:47 | clustery | 1 | 82945 | 5 | 8.906 | 9313.4 |
449 | 2025-07-02 19:31:37 | clustery | 1 | 82945 | 5 | 4.860 | 17066.9 |
448 | 2025-07-02 05:02:26 | clustery | 1 | 82945 | 5 | 3.780 | 21943.1 |
447 | 2025-06-26 14:54:05 | clustery | 1 | 82945 | 5 | 6.860 | 12091.1 |
446 | 2025-06-25 03:06:31 | clustery | 1 | 82945 | 5 | 3.966 | 20914.0 |
445 | 2025-06-24 08:47:28 | clustery | 1 | 82945 | 5 | 6.233 | 13307.4 |
444 | 2025-06-12 08:56:24 | clustery | 1 | 82945 | 5 | 4.610 | 17992.4 |
443 | 2025-06-10 18:18:02 | clustery | 1 | 82945 | 5 | 5.843 | 14195.6 |
442 | 2025-06-02 11:11:24 | clustery | 1 | 82945 | 5 | 8.640 | 9600.1 |
441 | 2025-06-02 04:34:27 | clustery | 1 | 82945 | 5 | 6.453 | 12853.7 |
440 | 2025-06-01 09:37:05 | clustery | 2 | 121059 | 21 | 3.780 | 32026.2 |
439 | 2025-05-31 08:39:17 | clustery | 3 | 146162 | 182 | 47.750 | 3061.0 |
438 | 2025-05-30 15:08:53 | clustery | 1 | 82945 | 5 | 6.983 | 11878.1 |
437 | 2025-05-26 14:56:03 | clustery | 1 | 82945 | 5 | 5.346 | 15515.3 |
436 | 2025-05-22 08:33:57 | clustery | 1 | 82945 | 5 | 9.673 | 8574.9 |
435 | 2025-05-22 05:05:32 | clustery | 1 | 82945 | 5 | 9.893 | 8384.2 |
434 | 2025-05-20 06:58:57 | clustery | 1 | 82945 | 5 | 5.483 | 15127.7 |
433 | 2025-05-19 04:11:03 | clustery | 3 | 146162 | 182 | 6.940 | 21060.8 |
432 | 2025-05-18 10:24:33 | clustery | 1 | 82945 | 5 | 4.200 | 19748.8 |
431 | 2025-05-14 15:29:36 | clustery | 2 | 121059 | 21 | 15.343 | 7890.2 |
430 | 2025-05-13 21:45:30 | clustery | 3 | 146162 | 182 | 18.750 | 7795.3 |
429 | 2025-05-12 23:55:55 | clustery | 3 | 146162 | 182 | 9.190 | 15904.5 |
428 | 2025-05-11 17:45:47 | clustery | 3 | 146162 | 182 | 7.126 | 20511.1 |
427 | 2025-05-03 07:40:06 | clustery | 1 | 82945 | 5 | 10.203 | 8129.5 |
426 | 2025-05-02 17:27:20 | clustery | 1 | 82945 | 5 | 2.296 | 36125.9 |
425 | 2025-04-30 12:15:32 | clustery | 1 | 82945 | 5 | 4.843 | 17126.8 |
424 | 2025-04-30 10:46:23 | clustery | 2 | 121059 | 21 | 18.253 | 6632.3 |
423 | 2025-04-29 03:53:36 | clustery | 1 | 82945 | 5 | 3.236 | 25632.0 |
422 | 2025-04-26 10:21:23 | clustery | 3 | 146162 | 182 | 27.750 | 5267.1 |
421 | 2025-04-26 08:29:45 | clustery | 3 | 146162 | 182 | 40.656 | 3595.1 |
420 | 2025-04-24 12:31:38 | clustery | 3 | 146162 | 182 | 55.533 | 2632.0 |
419 | 2025-04-24 07:57:51 | clustery | 2 | 121059 | 21 | 15.610 | 7755.2 |
418 | 2025-04-23 14:57:38 | clustery | 1 | 82945 | 5 | 1.513 | 54821.5 |
417 | 2025-04-21 05:37:09 | clustery | 1 | 82945 | 5 | 7.423 | 11174.1 |
416 | 2025-04-19 17:32:48 | clustery | 1 | 82945 | 5 | 1.436 | 57761.1 |
415 | 2025-04-05 08:18:42 | clustery | 1 | 82945 | 5 | 1.326 | 62552.8 |
414 | 2025-03-30 12:40:55 | clustery | 1 | 82945 | 5 | 2.296 | 36125.9 |
413 | 2025-03-29 05:06:30 | clustery | 1 | 82945 | 5 | 3.203 | 25896.0 |
412 | 2025-03-24 22:28:49 | clustery | 3 | 146162 | 182 | 34.456 | 4242.0 |
411 | 2025-03-21 06:21:39 | clustery | 2 | 121059 | 21 | 22.580 | 5361.3 |
410 | 2025-03-21 05:38:31 | clustery | 3 | 146162 | 182 | 30.796 | 4746.1 |
409 | 2025-03-20 04:50:32 | clustery | 1 | 82945 | 5 | 10.206 | 8127.1 |
408 | 2025-03-18 12:18:19 | clustery | 3 | 146162 | 182 | 35.610 | 4104.5 |
407 | 2025-03-17 18:36:17 | clustery | 3 | 146162 | 182 | 47.360 | 3086.2 |
406 | 2025-03-17 18:36:31 | clustery | 1 | 82945 | 5 | 5.750 | 14425.2 |
405 | 2025-03-17 18:36:13 | clustery | 2 | 121059 | 21 | 18.766 | 6451.0 |
404 | 2025-02-24 21:12:24 | clustery | 1 | 82945 | 5 | 7.093 | 11693.9 |
403 | 2025-02-13 12:02:14 | clustery | 1 | 82945 | 5 | 3.373 | 24590.9 |
402 | 2025-02-04 15:10:41 | clustery | 1 | 82945 | 5 | 7.550 | 10986.1 |
401 | 2025-01-28 03:10:05 | clustery | 2 | 121059 | 21 | 19.783 | 6119.3 |
400 | 2025-01-25 15:13:03 | clustery | 2 | 121059 | 21 | 3.563 | 33976.7 |
399 | 2025-01-25 15:11:44 | clustery | 3 | 146162 | 182 | 6.280 | 23274.2 |
398 | 2025-01-24 13:31:00 | clustery | 3 | 146162 | 182 | 23.376 | 6252.7 |
397 | 2025-01-24 09:46:49 | clustery | 3 | 146162 | 182 | 51.753 | 2824.2 |
396 | 2025-01-22 21:59:20 | clustery | 3 | 146162 | 182 | 28.250 | 5173.9 |
395 | 2025-01-12 00:52:35 | clustery | 3 | 146162 | 182 | 37.470 | 3900.8 |
394 | 2025-01-10 06:06:23 | clustery | 1 | 82945 | 5 | 3.406 | 24352.6 |
393 | 2025-01-09 13:25:16 | clustery | 2 | 121059 | 21 | 9.596 | 12615.6 |
392 | 2025-01-04 01:30:07 | clustery | 2 | 121059 | 21 | 15.343 | 7890.2 |
391 | 2025-01-04 01:29:53 | clustery | 1 | 82945 | 5 | 6.753 | 12282.7 |
390 | 2024-12-30 09:08:21 | clustery | 3 | 146162 | 182 | 53.753 | 2719.1 |
389 | 2024-12-26 14:19:26 | clustery | 1 | 82945 | 5 | 4.516 | 18366.9 |
388 | 2024-12-26 12:59:08 | clustery | 3 | 146162 | 182 | 31.613 | 4623.5 |
387 | 2024-12-22 18:42:36 | clustery | 3 | 146162 | 182 | 49.783 | 2936.0 |
386 | 2024-12-20 03:16:34 | clustery | 3 | 146162 | 182 | 7.220 | 20244.0 |
385 | 2024-12-10 18:48:03 | clustery | 1 | 82945 | 5 | 4.763 | 17414.4 |
384 | 2024-12-08 22:10:43 | clustery | 2 | 121059 | 21 | 18.330 | 6604.4 |
383 | 2024-12-06 10:10:05 | clustery | 2 | 121059 | 21 | 19.533 | 6197.7 |
382 | 2024-11-26 21:41:37 | clustery | 1 | 82945 | 5 | 4.406 | 18825.5 |
381 | 2024-11-26 11:42:30 | clustery | 2 | 121059 | 21 | 30.143 | 4016.2 |
380 | 2024-11-24 09:47:59 | clustery | 2 | 121059 | 21 | 26.750 | 4525.6 |
379 | 2024-11-22 11:31:14 | clustery | 2 | 121059 | 21 | 24.046 | 5034.5 |
378 | 2024-11-22 11:31:05 | clustery | 1 | 82945 | 5 | 3.266 | 25396.5 |
377 | 2024-11-13 20:31:35 | clustery | 1 | 82945 | 5 | 5.670 | 14628.7 |