History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exampled"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
454 | 2025-09-01 05:41:03 | exampled | 2 | 121059 | 11 | 3.783 | 32000.8 |
453 | 2025-08-31 11:45:30 | exampled | 1 | 82945 | 3 | 1.456 | 56967.7 |
452 | 2025-08-28 20:46:37 | exampled | 2 | 121059 | 11 | 3.440 | 35191.6 |
451 | 2025-08-28 20:11:18 | exampled | 4 | 161609 | 804 | 11.563 | 13976.4 |
450 | 2025-08-27 00:43:12 | exampled | 4 | 161609 | 804 | 12.030 | 13433.8 |
449 | 2025-08-26 19:40:44 | exampled | 3 | 146162 | 91 | 6.783 | 21548.3 |
448 | 2025-08-25 08:10:34 | exampled | 3 | 146162 | 91 | 35.453 | 4122.7 |
447 | 2025-08-23 02:20:05 | exampled | 3 | 146162 | 91 | 22.156 | 6596.9 |
446 | 2025-08-20 20:23:56 | exampled | 3 | 146162 | 91 | 25.376 | 5759.9 |
445 | 2025-08-08 16:36:31 | exampled | 1 | 82945 | 3 | 1.390 | 59672.7 |
444 | 2025-08-06 05:56:39 | exampled | 1 | 82945 | 3 | 3.093 | 26817.0 |
443 | 2025-08-05 09:03:12 | exampled | 3 | 146162 | 91 | 17.796 | 8213.2 |
442 | 2025-08-01 03:21:02 | exampled | 1 | 82945 | 3 | 5.830 | 14227.3 |
441 | 2025-07-17 20:28:32 | exampled | 1 | 82945 | 3 | 3.373 | 24590.9 |
440 | 2025-07-15 15:24:02 | exampled | 1 | 82945 | 3 | 1.656 | 50087.6 |
439 | 2025-07-12 14:05:41 | exampled | 1 | 82945 | 3 | 5.110 | 16231.9 |
438 | 2025-07-08 03:38:18 | exampled | 1 | 82945 | 3 | 9.063 | 9152.0 |
437 | 2025-07-07 14:35:12 | exampled | 1 | 82945 | 3 | 10.423 | 7957.9 |
436 | 2025-06-26 07:18:22 | exampled | 1 | 82945 | 3 | 6.096 | 13606.5 |
435 | 2025-06-26 02:29:52 | exampled | 1 | 82945 | 3 | 8.220 | 10090.6 |
434 | 2025-06-14 12:15:51 | exampled | 1 | 82945 | 3 | 4.703 | 17636.6 |
433 | 2025-05-29 12:14:06 | exampled | 1 | 82945 | 3 | 9.190 | 9025.6 |
432 | 2025-05-20 08:23:23 | exampled | 1 | 82945 | 3 | 6.670 | 12435.5 |
431 | 2025-05-14 12:05:26 | exampled | 1 | 82945 | 3 | 6.596 | 12575.0 |
430 | 2025-05-08 14:27:21 | exampled | 1 | 82945 | 3 | 5.470 | 15163.6 |
429 | 2025-04-22 00:56:32 | exampled | 1 | 82945 | 3 | 1.436 | 57761.1 |
428 | 2025-04-18 17:18:58 | exampled | 1 | 82945 | 3 | 4.906 | 16906.8 |
427 | 2025-04-18 06:38:41 | exampled | 1 | 82945 | 3 | 3.546 | 23391.1 |
426 | 2025-04-12 11:15:53 | exampled | 1 | 82945 | 3 | 3.406 | 24352.6 |
425 | 2025-04-11 17:18:06 | exampled | 1 | 82945 | 3 | 6.940 | 11951.7 |
424 | 2025-03-21 02:19:04 | exampled | 1 | 82945 | 3 | 6.830 | 12144.2 |
423 | 2025-03-10 05:43:32 | exampled | 1 | 82945 | 3 | 4.356 | 19041.6 |
422 | 2025-03-05 21:51:31 | exampled | 1 | 82945 | 3 | 3.190 | 26001.6 |
421 | 2025-03-04 17:30:08 | exampled | 3 | 146162 | 91 | 37.830 | 3863.7 |
420 | 2025-03-04 16:40:33 | exampled | 3 | 146162 | 91 | 34.110 | 4285.0 |
419 | 2025-03-04 16:39:48 | exampled | 1 | 82945 | 3 | 6.720 | 12343.0 |
418 | 2025-03-03 02:54:11 | exampled | 3 | 146162 | 91 | 18.686 | 7822.0 |
417 | 2025-03-02 02:22:55 | exampled | 3 | 146162 | 91 | 37.550 | 3892.5 |
416 | 2025-02-28 18:33:54 | exampled | 3 | 146162 | 91 | 35.300 | 4140.6 |
415 | 2025-02-28 10:12:34 | exampled | 3 | 146162 | 91 | 37.206 | 3928.5 |
414 | 2025-02-28 08:12:48 | exampled | 3 | 146162 | 91 | 47.170 | 3098.6 |
413 | 2025-02-28 08:12:51 | exampled | 4 | 161609 | 804 | 35.970 | 4492.9 |
412 | 2025-02-28 08:12:47 | exampled | 2 | 121059 | 11 | 14.733 | 8216.9 |
411 | 2025-02-28 08:12:53 | exampled | 1 | 82945 | 3 | 6.610 | 12548.4 |
410 | 2025-02-19 19:27:22 | exampled | 1 | 82945 | 3 | 7.266 | 11415.5 |
409 | 2025-02-14 23:41:50 | exampled | 2 | 121059 | 11 | 9.406 | 12870.4 |
408 | 2025-02-06 22:00:12 | exampled | 4 | 161609 | 804 | 75.270 | 2147.1 |
407 | 2025-02-04 07:27:17 | exampled | 2 | 121059 | 11 | 12.813 | 9448.1 |
406 | 2025-02-02 04:56:48 | exampled | 2 | 121059 | 11 | 23.906 | 5064.0 |
405 | 2025-02-02 04:56:28 | exampled | 1 | 82945 | 3 | 7.420 | 11178.6 |
404 | 2025-02-02 04:30:37 | exampled | 4 | 161609 | 804 | 74.390 | 2172.5 |
403 | 2025-01-29 14:18:23 | exampled | 3 | 146162 | 91 | 8.953 | 16325.5 |
402 | 2025-01-28 17:32:43 | exampled | 4 | 161609 | 804 | 46.266 | 3493.0 |
401 | 2025-01-28 17:30:43 | exampled | 1 | 82945 | 3 | 5.716 | 14511.0 |
400 | 2025-01-28 14:57:16 | exampled | 3 | 146162 | 91 | 29.440 | 4964.7 |
399 | 2025-01-27 23:47:12 | exampled | 4 | 161609 | 804 | 52.063 | 3104.1 |
398 | 2025-01-27 22:56:30 | exampled | 3 | 146162 | 91 | 25.970 | 5628.1 |
397 | 2025-01-27 22:05:40 | exampled | 4 | 161609 | 804 | 17.546 | 9210.6 |
396 | 2025-01-27 22:05:42 | exampled | 3 | 146162 | 91 | 12.030 | 12149.8 |
395 | 2025-01-27 22:05:06 | exampled | 1 | 82945 | 3 | 1.440 | 57600.7 |
394 | 2025-01-26 07:03:16 | exampled | 1 | 82945 | 3 | 8.470 | 9792.8 |
393 | 2025-01-10 05:11:18 | exampled | 2 | 121059 | 11 | 10.643 | 11374.5 |
392 | 2025-01-08 17:17:09 | exampled | 2 | 121059 | 11 | 17.860 | 6778.2 |
391 | 2025-01-05 23:17:30 | exampled | 3 | 146162 | 91 | 7.486 | 19524.7 |
390 | 2025-01-02 19:06:58 | exampled | 2 | 121059 | 11 | 14.406 | 8403.4 |
389 | 2025-01-02 19:06:44 | exampled | 1 | 82945 | 3 | 3.673 | 22582.4 |
388 | 2025-01-02 00:14:03 | exampled | 1 | 82945 | 3 | 9.360 | 8861.6 |
387 | 2025-01-01 11:04:36 | exampled | 3 | 146162 | 91 | 36.643 | 3988.8 |
386 | 2024-12-30 13:51:20 | exampled | 3 | 146162 | 91 | 47.580 | 3071.9 |
385 | 2024-12-28 07:35:09 | exampled | 1 | 82945 | 3 | 3.216 | 25791.4 |
384 | 2024-12-27 21:50:46 | exampled | 1 | 82945 | 3 | 7.030 | 11798.7 |
383 | 2024-12-27 12:06:50 | exampled | 3 | 146162 | 91 | 38.456 | 3800.8 |
382 | 2024-12-27 03:48:15 | exampled | 3 | 146162 | 91 | 16.326 | 8952.7 |
381 | 2024-12-26 18:22:03 | exampled | 4 | 161609 | 804 | 66.270 | 2438.6 |
380 | 2024-12-26 18:21:56 | exampled | 3 | 146162 | 91 | 43.706 | 3344.2 |
379 | 2024-12-09 01:09:22 | exampled | 2 | 121059 | 11 | 17.970 | 6736.7 |
378 | 2024-12-06 12:49:26 | exampled | 4 | 161609 | 804 | 74.283 | 2175.6 |
377 | 2024-12-06 06:39:59 | exampled | 4 | 161609 | 804 | 95.896 | 1685.3 |
376 | 2024-12-02 06:20:04 | exampled | 2 | 121059 | 11 | 22.423 | 5398.9 |
375 | 2024-12-02 06:19:13 | exampled | 4 | 161609 | 804 | 69.813 | 2314.9 |
374 | 2024-12-02 06:19:04 | exampled | 1 | 82945 | 3 | 3.110 | 26670.4 |
373 | 2024-11-29 11:35:20 | exampled | 3 | 146162 | 91 | 7.970 | 18339.0 |
372 | 2024-11-26 06:38:51 | exampled | 3 | 146162 | 91 | 37.003 | 3950.0 |
371 | 2024-11-25 15:36:06 | exampled | 3 | 146162 | 91 | 46.033 | 3175.2 |
370 | 2024-11-24 06:33:23 | exampled | 3 | 146162 | 91 | 32.940 | 4437.2 |
369 | 2024-11-24 06:33:07 | exampled | 1 | 82945 | 3 | 6.406 | 12948.0 |
368 | 2024-11-23 13:07:52 | exampled | 3 | 146162 | 91 | 33.333 | 4384.9 |
367 | 2024-11-23 09:09:12 | exampled | 3 | 146162 | 91 | 47.673 | 3065.9 |
366 | 2024-11-20 09:15:03 | exampled | 3 | 146162 | 91 | 28.610 | 5108.8 |
365 | 2024-11-18 15:15:11 | exampled | 1 | 82945 | 3 | 6.453 | 12853.7 |
364 | 2024-11-09 11:49:27 | exampled | 2 | 121059 | 11 | 19.156 | 6319.6 |
363 | 2024-11-08 02:41:42 | exampled | 2 | 121059 | 11 | 24.500 | 4941.2 |
362 | 2024-11-06 10:29:16 | exampled | 4 | 161609 | 804 | 45.410 | 3558.9 |
361 | 2024-11-06 02:26:35 | exampled | 4 | 161609 | 804 | 12.436 | 12995.3 |
360 | 2024-11-04 08:55:44 | exampled | 2 | 121059 | 11 | 18.143 | 6672.5 |
359 | 2024-10-30 22:56:20 | exampled | 3 | 146162 | 91 | 6.326 | 23105.0 |
358 | 2024-10-30 22:56:19 | exampled | 2 | 121059 | 11 | 3.390 | 35710.6 |
357 | 2024-10-30 22:56:18 | exampled | 1 | 82945 | 3 | 1.310 | 63316.8 |
356 | 2024-10-23 16:12:00 | exampled | 3 | 146162 | 91 | 52.613 | 2778.1 |
355 | 2024-10-22 20:51:39 | exampled | 1 | 82945 | 3 | 9.296 | 8922.7 |