History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"constrain"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
444 | 2025-08-24 12:43:35 | constrain | 1 | 81242 | 3 | 1.436 | 56575.2 |
443 | 2025-08-10 00:01:05 | constrain | 1 | 81242 | 3 | 3.063 | 26523.7 |
442 | 2025-08-09 16:15:17 | constrain | 1 | 81242 | 3 | 7.406 | 10969.8 |
441 | 2025-07-16 23:58:30 | constrain | 1 | 81242 | 3 | 2.873 | 28277.8 |
440 | 2025-07-16 22:21:57 | constrain | 1 | 81242 | 3 | 2.966 | 27391.1 |
439 | 2025-07-04 15:40:18 | constrain | 1 | 81242 | 3 | 8.013 | 10138.8 |
438 | 2025-06-26 22:53:46 | constrain | 1 | 81242 | 3 | 6.936 | 11713.1 |
437 | 2025-06-20 10:39:53 | constrain | 1 | 81242 | 3 | 1.280 | 63470.3 |
436 | 2025-06-18 12:20:51 | constrain | 1 | 81242 | 3 | 7.106 | 11432.9 |
435 | 2025-06-15 23:21:00 | constrain | 1 | 81242 | 3 | 10.296 | 7890.6 |
434 | 2025-06-13 21:49:52 | constrain | 1 | 81242 | 3 | 8.796 | 9236.2 |
433 | 2025-06-08 19:54:27 | constrain | 1 | 81242 | 3 | 3.390 | 23965.2 |
432 | 2025-06-08 00:08:54 | constrain | 4 | 165329 | 316 | 86.066 | 1921.0 |
431 | 2025-06-07 03:53:30 | constrain | 4 | 165329 | 316 | 41.626 | 3971.8 |
430 | 2025-06-05 19:41:21 | constrain | 4 | 165329 | 316 | 44.146 | 3745.1 |
429 | 2025-06-05 10:51:53 | constrain | 3 | 148641 | 41 | 29.126 | 5103.4 |
428 | 2025-06-05 09:15:43 | constrain | 4 | 165329 | 316 | 58.923 | 2805.8 |
427 | 2025-06-05 05:01:13 | constrain | 2 | 121436 | 8 | 20.940 | 5799.2 |
426 | 2025-06-03 18:55:26 | constrain | 1 | 81242 | 3 | 1.500 | 54161.3 |
425 | 2025-05-23 23:44:55 | constrain | 2 | 121436 | 8 | 13.826 | 8783.2 |
424 | 2025-05-22 16:13:49 | constrain | 1 | 81242 | 3 | 7.720 | 10523.6 |
423 | 2025-05-18 12:21:18 | constrain | 1 | 81242 | 3 | 3.813 | 21306.6 |
422 | 2025-05-16 09:48:32 | constrain | 3 | 148641 | 41 | 21.096 | 7045.9 |
421 | 2025-05-15 23:34:02 | constrain | 1 | 81242 | 3 | 10.516 | 7725.6 |
420 | 2025-05-14 12:44:06 | constrain | 3 | 148641 | 41 | 42.753 | 3476.7 |
419 | 2025-05-11 05:03:03 | constrain | 3 | 148641 | 41 | 11.986 | 12401.2 |
418 | 2025-05-09 22:54:14 | constrain | 3 | 148641 | 41 | 52.750 | 2817.8 |
417 | 2025-04-29 23:58:56 | constrain | 3 | 148641 | 41 | 49.000 | 3033.5 |
416 | 2025-04-29 23:12:16 | constrain | 1 | 81242 | 3 | 3.530 | 23014.7 |
415 | 2025-04-29 11:29:04 | constrain | 1 | 81242 | 3 | 1.513 | 53696.0 |
414 | 2025-04-29 10:44:41 | constrain | 3 | 148641 | 41 | 42.736 | 3478.1 |
413 | 2025-04-29 08:59:11 | constrain | 4 | 165329 | 316 | 34.350 | 4813.1 |
412 | 2025-04-29 05:25:31 | constrain | 2 | 121436 | 8 | 9.313 | 13039.4 |
411 | 2025-04-28 19:39:15 | constrain | 4 | 165329 | 316 | 29.893 | 5530.7 |
410 | 2025-04-28 06:32:39 | constrain | 2 | 121436 | 8 | 9.843 | 12337.3 |
409 | 2025-04-27 18:55:25 | constrain | 1 | 81242 | 3 | 4.470 | 18174.9 |
408 | 2025-04-26 20:58:22 | constrain | 1 | 81242 | 3 | 1.406 | 57782.4 |
407 | 2025-04-26 09:30:27 | constrain | 4 | 165329 | 316 | 69.973 | 2362.8 |
406 | 2025-04-24 16:33:55 | constrain | 4 | 165329 | 316 | 15.016 | 11010.2 |
405 | 2025-04-23 09:24:35 | constrain | 4 | 165329 | 316 | 40.266 | 4105.9 |
404 | 2025-04-13 23:08:45 | constrain | 1 | 81242 | 3 | 6.783 | 11977.3 |
403 | 2025-03-31 06:25:51 | constrain | 4 | 165329 | 316 | 61.596 | 2684.1 |
402 | 2025-03-30 14:15:23 | constrain | 1 | 81242 | 3 | 6.890 | 11791.3 |
401 | 2025-03-29 05:09:09 | constrain | 4 | 165329 | 316 | 59.410 | 2782.8 |
400 | 2025-03-29 00:56:10 | constrain | 4 | 165329 | 316 | 68.070 | 2428.8 |
399 | 2025-03-28 20:50:18 | constrain | 4 | 165329 | 316 | 63.923 | 2586.4 |
398 | 2025-03-27 01:56:57 | constrain | 4 | 165329 | 316 | 35.660 | 4636.3 |
397 | 2025-03-26 13:14:41 | constrain | 3 | 148641 | 41 | 21.486 | 6918.0 |
396 | 2025-03-26 05:33:06 | constrain | 2 | 121436 | 8 | 19.766 | 6143.7 |
395 | 2025-03-24 21:43:58 | constrain | 2 | 121436 | 8 | 27.940 | 4346.3 |
394 | 2025-03-24 20:31:26 | constrain | 3 | 148641 | 41 | 6.610 | 22487.3 |
393 | 2025-03-24 19:55:53 | constrain | 1 | 81242 | 3 | 1.483 | 54782.2 |
392 | 2025-03-22 17:13:35 | constrain | 1 | 81242 | 3 | 7.330 | 11083.5 |
391 | 2025-03-22 05:28:47 | constrain | 2 | 121436 | 8 | 15.110 | 8036.8 |
390 | 2025-03-21 14:47:51 | constrain | 1 | 81242 | 3 | 6.656 | 12205.8 |
389 | 2025-03-20 21:25:15 | constrain | 1 | 81242 | 3 | 1.516 | 53589.7 |
388 | 2025-03-14 18:11:42 | constrain | 3 | 148641 | 41 | 47.423 | 3134.4 |
387 | 2025-03-13 04:46:44 | constrain | 1 | 81242 | 3 | 5.110 | 15898.6 |
386 | 2025-03-13 02:18:16 | constrain | 1 | 81242 | 3 | 6.640 | 12235.2 |
385 | 2025-03-01 23:45:56 | constrain | 3 | 148641 | 41 | 38.173 | 3893.9 |
384 | 2025-02-22 14:04:01 | constrain | 3 | 148641 | 41 | 35.613 | 4173.8 |
383 | 2025-02-18 12:26:24 | constrain | 1 | 81242 | 3 | 7.193 | 11294.6 |
382 | 2025-02-13 07:07:44 | constrain | 3 | 148641 | 41 | 37.206 | 3995.1 |
381 | 2025-02-13 07:07:43 | constrain | 2 | 121436 | 8 | 14.343 | 8466.6 |
380 | 2025-02-13 01:54:33 | constrain | 3 | 148641 | 41 | 35.643 | 4170.3 |
379 | 2025-02-13 01:54:25 | constrain | 3 | 148641 | 41 | 39.723 | 3741.9 |
378 | 2025-02-13 01:54:12 | constrain | 2 | 121436 | 8 | 18.970 | 6401.5 |
377 | 2025-02-13 01:53:48 | constrain | 1 | 81242 | 3 | 7.486 | 10852.5 |
376 | 2025-01-26 00:13:28 | constrain | 1 | 81242 | 3 | 6.686 | 12151.1 |
375 | 2025-01-20 16:21:59 | constrain | 1 | 81242 | 3 | 6.953 | 11684.5 |
374 | 2025-01-17 10:27:22 | constrain | 1 | 81242 | 3 | 7.343 | 11063.9 |
373 | 2025-01-11 20:34:19 | constrain | 1 | 81242 | 3 | 7.093 | 11453.8 |
372 | 2024-12-03 07:13:39 | constrain | 1 | 81242 | 3 | 6.356 | 12781.9 |
371 | 2024-11-30 14:54:58 | constrain | 1 | 81242 | 3 | 6.673 | 12174.7 |
370 | 2024-11-28 06:22:02 | constrain | 3 | 148641 | 41 | 34.673 | 4286.9 |
369 | 2024-11-27 22:07:31 | constrain | 1 | 81242 | 3 | 6.343 | 12808.1 |
368 | 2024-11-27 16:45:43 | constrain | 3 | 148641 | 41 | 24.753 | 6005.0 |
367 | 2024-11-27 07:13:09 | constrain | 3 | 148641 | 41 | 26.596 | 5588.8 |
366 | 2024-11-22 15:55:17 | constrain | 3 | 148641 | 41 | 46.283 | 3211.6 |
365 | 2024-11-08 06:40:58 | constrain | 1 | 81242 | 3 | 3.686 | 22040.7 |
364 | 2024-11-01 03:49:01 | constrain | 1 | 81242 | 3 | 10.220 | 7949.3 |
363 | 2024-10-29 19:49:47 | constrain | 2 | 121436 | 8 | 23.470 | 5174.1 |
362 | 2024-10-29 19:49:39 | constrain | 1 | 81242 | 3 | 5.610 | 14481.6 |
361 | 2024-10-27 19:24:38 | constrain | 3 | 148641 | 41 | 33.550 | 4430.4 |
360 | 2024-10-27 19:24:38 | constrain | 2 | 121436 | 8 | 9.453 | 12846.3 |
359 | 2024-10-26 11:49:15 | constrain | 3 | 148641 | 41 | 44.656 | 3328.6 |
358 | 2024-10-25 16:28:42 | constrain | 3 | 148641 | 41 | 39.830 | 3731.9 |
357 | 2024-10-18 15:55:34 | constrain | 3 | 148641 | 41 | 32.546 | 4567.1 |
356 | 2024-10-16 11:21:14 | constrain | 1 | 81242 | 3 | 2.813 | 28880.9 |
355 | 2024-10-05 06:41:17 | constrain | 1 | 81242 | 3 | 6.500 | 12498.8 |
354 | 2024-09-17 12:29:44 | constrain | 3 | 148641 | 41 | 82.143 | 1809.5 |
353 | 2024-09-16 19:36:49 | constrain | 1 | 81242 | 3 | 12.626 | 6434.5 |
352 | 2024-09-08 09:34:52 | constrain | 3 | 148641 | 41 | 43.863 | 3388.8 |
351 | 2024-09-07 00:14:08 | constrain | 2 | 121436 | 8 | 22.313 | 5442.4 |
350 | 2024-09-07 00:13:49 | constrain | 3 | 148641 | 41 | 29.970 | 4959.7 |
349 | 2024-09-06 15:37:56 | constrain | 2 | 121436 | 8 | 25.626 | 4738.8 |
348 | 2024-09-05 07:05:23 | constrain | 3 | 148641 | 41 | 73.410 | 2024.8 |
347 | 2024-09-05 07:05:27 | constrain | 2 | 121436 | 8 | 38.783 | 3131.2 |
346 | 2024-09-05 07:05:14 | constrain | 3 | 148641 | 41 | 47.146 | 3152.8 |
345 | 2024-08-21 11:50:19 | constrain | 1 | 81242 | 3 | 6.346 | 12802.1 |