History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"typical"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
444 | 2025-08-28 04:48:53 | typical | 1 | 69583 | 3 | 1.140 | 61037.7 |
443 | 2025-08-27 06:42:42 | typical | 1 | 69583 | 3 | 1.233 | 56433.9 |
442 | 2025-08-27 05:56:07 | typical | 1 | 69583 | 3 | 1.173 | 59320.5 |
441 | 2025-08-26 23:18:12 | typical | 1 | 69583 | 3 | 1.173 | 59320.5 |
440 | 2025-08-26 09:05:42 | typical | 1 | 69583 | 3 | 3.923 | 17737.2 |
439 | 2025-08-18 00:36:03 | typical | 1 | 69583 | 3 | 1.046 | 66522.9 |
438 | 2025-08-09 20:55:23 | typical | 1 | 69583 | 3 | 2.893 | 24052.2 |
437 | 2025-08-05 06:09:50 | typical | 3 | 134027 | 113 | 17.660 | 7589.3 |
436 | 2025-08-05 00:40:14 | typical | 1 | 69583 | 3 | 2.670 | 26061.0 |
435 | 2025-08-04 10:09:58 | typical | 2 | 107671 | 16 | 23.156 | 4649.8 |
434 | 2025-08-04 08:17:21 | typical | 3 | 134027 | 113 | 39.420 | 3400.0 |
433 | 2025-08-01 16:29:05 | typical | 1 | 69583 | 3 | 6.360 | 10940.7 |
432 | 2025-08-01 11:06:27 | typical | 3 | 134027 | 113 | 16.266 | 8239.7 |
431 | 2025-08-01 02:09:50 | typical | 2 | 107671 | 16 | 10.690 | 10072.1 |
430 | 2025-07-30 21:41:46 | typical | 1 | 69583 | 3 | 5.280 | 13178.6 |
429 | 2025-07-30 15:17:14 | typical | 1 | 69583 | 3 | 2.720 | 25582.0 |
428 | 2025-07-28 05:18:03 | typical | 3 | 134027 | 113 | 24.876 | 5387.8 |
427 | 2025-07-28 05:04:34 | typical | 2 | 107671 | 16 | 7.813 | 13781.0 |
426 | 2025-07-27 14:56:25 | typical | 3 | 134027 | 113 | 27.750 | 4829.8 |
425 | 2025-07-26 10:18:21 | typical | 2 | 107671 | 16 | 4.236 | 25418.1 |
424 | 2025-07-24 02:44:50 | typical | 3 | 134027 | 113 | 34.126 | 3927.4 |
423 | 2025-07-23 19:02:43 | typical | 1 | 69583 | 3 | 2.563 | 27149.0 |
422 | 2025-07-23 16:01:15 | typical | 1 | 69583 | 3 | 5.453 | 12760.5 |
421 | 2025-07-22 18:58:26 | typical | 1 | 69583 | 3 | 3.076 | 22621.3 |
420 | 2025-07-20 21:40:07 | typical | 2 | 107671 | 16 | 3.190 | 33752.7 |
419 | 2025-07-19 00:13:10 | typical | 1 | 69583 | 3 | 1.203 | 57841.2 |
418 | 2025-07-15 13:20:25 | typical | 1 | 69583 | 3 | 4.706 | 14786.0 |
417 | 2025-07-13 19:48:33 | typical | 2 | 107671 | 16 | 3.123 | 34476.8 |
416 | 2025-07-13 00:30:17 | typical | 1 | 69583 | 3 | 4.060 | 17138.7 |
415 | 2025-07-09 10:56:24 | typical | 1 | 69583 | 3 | 1.030 | 67556.3 |
414 | 2025-07-06 13:42:42 | typical | 2 | 107671 | 16 | 2.890 | 37256.4 |
413 | 2025-07-05 20:33:07 | typical | 1 | 69583 | 3 | 1.140 | 61037.7 |
412 | 2025-07-03 07:03:02 | typical | 1 | 69583 | 3 | 5.470 | 12720.8 |
411 | 2025-06-30 05:34:37 | typical | 3 | 134027 | 113 | 32.033 | 4184.0 |
410 | 2025-06-30 01:20:51 | typical | 2 | 107671 | 16 | 18.110 | 5945.4 |
409 | 2025-06-29 23:24:25 | typical | 2 | 107671 | 16 | 14.250 | 7555.9 |
408 | 2025-06-29 07:11:12 | typical | 3 | 134027 | 113 | 31.566 | 4245.9 |
407 | 2025-06-29 04:51:12 | typical | 3 | 134027 | 113 | 31.660 | 4233.3 |
406 | 2025-06-28 22:37:37 | typical | 2 | 107671 | 16 | 13.923 | 7733.3 |
405 | 2025-06-28 05:01:05 | typical | 1 | 69583 | 3 | 5.453 | 12760.5 |
404 | 2025-06-26 08:26:49 | typical | 1 | 69583 | 3 | 8.486 | 8199.7 |
403 | 2025-06-25 17:15:29 | typical | 3 | 134027 | 113 | 5.516 | 24297.9 |
402 | 2025-06-25 10:28:34 | typical | 1 | 69583 | 3 | 1.266 | 54962.9 |
401 | 2025-06-24 19:48:16 | typical | 2 | 107671 | 16 | 2.750 | 39153.1 |
400 | 2025-06-24 06:49:29 | typical | 1 | 69583 | 3 | 5.596 | 12434.4 |
399 | 2025-06-19 19:26:11 | typical | 1 | 69583 | 3 | 1.233 | 56433.9 |
398 | 2025-06-19 12:07:39 | typical | 2 | 107671 | 16 | 14.796 | 7277.0 |
397 | 2025-06-19 10:20:48 | typical | 3 | 134027 | 113 | 10.220 | 13114.2 |
396 | 2025-06-19 04:34:43 | typical | 3 | 134027 | 113 | 16.863 | 7948.0 |
395 | 2025-06-18 07:59:47 | typical | 1 | 69583 | 3 | 5.596 | 12434.4 |
394 | 2025-06-18 00:58:54 | typical | 3 | 134027 | 113 | 40.563 | 3304.2 |
393 | 2025-06-17 16:52:52 | typical | 2 | 107671 | 16 | 3.296 | 32667.2 |
392 | 2025-06-17 14:08:56 | typical | 3 | 134027 | 113 | 5.610 | 23890.7 |
391 | 2025-06-17 07:37:53 | typical | 2 | 107671 | 16 | 3.063 | 35152.1 |
390 | 2025-06-15 19:11:12 | typical | 1 | 69583 | 3 | 4.860 | 14317.5 |
389 | 2025-06-13 04:30:22 | typical | 1 | 69583 | 3 | 1.640 | 42428.7 |
388 | 2025-06-12 23:55:17 | typical | 1 | 69583 | 3 | 5.923 | 11747.9 |
387 | 2025-06-12 03:37:04 | typical | 1 | 69583 | 3 | 2.813 | 24736.2 |
386 | 2025-06-10 01:40:40 | typical | 3 | 134027 | 113 | 34.250 | 3913.2 |
385 | 2025-06-08 17:47:25 | typical | 1 | 69583 | 3 | 8.313 | 8370.4 |
384 | 2025-05-31 20:04:04 | typical | 2 | 107671 | 16 | 11.096 | 9703.6 |
383 | 2025-05-31 17:29:37 | typical | 1 | 69583 | 3 | 5.173 | 13451.2 |
382 | 2025-05-30 03:20:47 | typical | 3 | 134027 | 113 | 7.813 | 17154.4 |
381 | 2025-05-29 11:40:19 | typical | 3 | 134027 | 113 | 31.050 | 4316.5 |
380 | 2025-05-29 02:48:41 | typical | 2 | 107671 | 16 | 16.093 | 6690.5 |
379 | 2025-05-28 21:23:05 | typical | 1 | 69583 | 3 | 8.376 | 8307.4 |
378 | 2025-05-27 11:02:06 | typical | 2 | 107671 | 16 | 17.016 | 6327.6 |
377 | 2025-05-26 23:41:18 | typical | 2 | 107671 | 16 | 20.220 | 5325.0 |
376 | 2025-05-26 07:41:37 | typical | 3 | 134027 | 113 | 25.940 | 5166.8 |
375 | 2025-05-26 05:35:18 | typical | 1 | 69583 | 3 | 4.343 | 16021.9 |
374 | 2025-05-25 19:31:45 | typical | 1 | 69583 | 3 | 1.233 | 56433.9 |
373 | 2025-05-25 04:33:14 | typical | 1 | 69583 | 3 | 2.300 | 30253.5 |
372 | 2025-05-24 06:23:31 | typical | 1 | 69583 | 3 | 6.106 | 11395.8 |
371 | 2025-05-24 02:12:03 | typical | 1 | 69583 | 3 | 2.640 | 26357.2 |
370 | 2025-05-19 12:15:02 | typical | 2 | 107671 | 16 | 3.280 | 32826.5 |
369 | 2025-05-18 07:58:11 | typical | 1 | 69583 | 3 | 8.703 | 7995.3 |
368 | 2025-05-17 23:39:24 | typical | 2 | 107671 | 16 | 20.416 | 5273.9 |
367 | 2025-05-17 14:28:51 | typical | 3 | 134027 | 113 | 33.843 | 3960.3 |
366 | 2025-05-17 08:29:09 | typical | 2 | 107671 | 16 | 7.376 | 14597.5 |
365 | 2025-05-15 18:56:57 | typical | 1 | 69583 | 3 | 1.250 | 55666.4 |
364 | 2025-05-07 08:13:23 | typical | 1 | 69583 | 3 | 2.966 | 23460.2 |
363 | 2025-05-05 23:16:32 | typical | 2 | 107671 | 16 | 13.143 | 8192.3 |
362 | 2025-05-04 23:25:45 | typical | 1 | 69583 | 3 | 1.156 | 60192.9 |
361 | 2025-04-30 00:19:34 | typical | 2 | 107671 | 16 | 16.093 | 6690.5 |
360 | 2025-04-28 20:59:09 | typical | 1 | 69583 | 3 | 1.123 | 61961.7 |
359 | 2025-04-24 09:27:53 | typical | 3 | 134027 | 113 | 36.016 | 3721.3 |
358 | 2025-04-24 04:00:37 | typical | 3 | 134027 | 113 | 43.346 | 3092.0 |
357 | 2025-04-23 13:58:10 | typical | 3 | 134027 | 113 | 6.033 | 22215.6 |
356 | 2025-04-22 02:19:40 | typical | 1 | 69583 | 3 | 1.186 | 58670.3 |
355 | 2025-04-17 17:14:30 | typical | 1 | 69583 | 3 | 1.280 | 54361.7 |
354 | 2025-04-03 23:38:21 | typical | 1 | 69583 | 3 | 4.110 | 16930.2 |
353 | 2025-03-25 00:33:33 | typical | 2 | 107671 | 16 | 11.376 | 9464.8 |
352 | 2025-03-21 07:17:42 | typical | 1 | 69583 | 3 | 7.310 | 9518.9 |
351 | 2025-03-18 01:53:02 | typical | 1 | 69583 | 3 | 10.863 | 6405.5 |
350 | 2025-03-17 09:31:44 | typical | 3 | 134027 | 113 | 22.796 | 5879.4 |
349 | 2025-03-16 22:56:40 | typical | 3 | 134027 | 113 | 33.043 | 4056.1 |
348 | 2025-03-16 18:10:10 | typical | 3 | 134027 | 113 | 32.533 | 4119.7 |
347 | 2025-03-16 08:53:55 | typical | 1 | 69583 | 3 | 5.796 | 12005.3 |
346 | 2025-03-16 07:14:46 | typical | 3 | 134027 | 113 | 34.250 | 3913.2 |
345 | 2025-03-16 07:14:45 | typical | 2 | 107671 | 16 | 13.313 | 8087.7 |