History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"modeled"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
453 | 2025-08-25 09:16:30 | modeled | 1 | 69583 | 5 | 2.860 | 24329.7 |
452 | 2025-08-25 00:41:01 | modeled | 1 | 69583 | 5 | 2.750 | 25302.9 |
451 | 2025-08-17 05:21:47 | modeled | 2 | 107671 | 38 | 8.376 | 12854.7 |
450 | 2025-08-14 18:12:51 | modeled | 2 | 107671 | 38 | 6.716 | 16032.0 |
449 | 2025-08-09 12:38:50 | modeled | 1 | 69583 | 5 | 5.046 | 13789.7 |
448 | 2025-08-03 01:41:15 | modeled | 2 | 107671 | 38 | 11.796 | 9127.8 |
447 | 2025-08-01 12:01:34 | modeled | 1 | 69583 | 5 | 2.720 | 25582.0 |
446 | 2025-07-31 14:31:39 | modeled | 1 | 69583 | 5 | 1.110 | 62687.4 |
445 | 2025-07-31 09:53:56 | modeled | 1 | 69583 | 5 | 5.890 | 11813.8 |
444 | 2025-07-25 01:50:28 | modeled | 1 | 69583 | 5 | 3.876 | 17952.3 |
443 | 2025-07-25 00:28:43 | modeled | 1 | 69583 | 5 | 6.203 | 11217.6 |
442 | 2025-07-24 03:34:31 | modeled | 1 | 69583 | 5 | 3.093 | 22496.9 |
441 | 2025-07-23 16:50:39 | modeled | 1 | 69583 | 5 | 6.660 | 10447.9 |
440 | 2025-07-23 11:29:33 | modeled | 1 | 69583 | 5 | 2.970 | 23428.6 |
439 | 2025-07-22 21:48:11 | modeled | 1 | 69583 | 5 | 3.156 | 22047.8 |
438 | 2025-07-22 21:37:10 | modeled | 1 | 69583 | 5 | 5.566 | 12501.4 |
437 | 2025-07-22 13:55:43 | modeled | 1 | 69583 | 5 | 4.970 | 14000.6 |
436 | 2025-07-10 22:09:39 | modeled | 3 | 134027 | 433 | 17.750 | 7550.8 |
435 | 2025-07-05 22:01:49 | modeled | 3 | 134027 | 433 | 6.280 | 21341.9 |
434 | 2025-07-02 00:42:00 | modeled | 3 | 134027 | 433 | 16.626 | 8061.3 |
433 | 2025-06-30 06:53:51 | modeled | 3 | 134027 | 433 | 29.076 | 4609.5 |
432 | 2025-06-29 16:43:59 | modeled | 1 | 69583 | 5 | 1.190 | 58473.1 |
431 | 2025-06-29 16:33:35 | modeled | 1 | 69583 | 5 | 1.266 | 54962.9 |
430 | 2025-06-27 02:59:01 | modeled | 2 | 107671 | 38 | 11.846 | 9089.2 |
429 | 2025-06-26 12:27:08 | modeled | 1 | 69583 | 5 | 6.546 | 10629.9 |
428 | 2025-06-26 01:38:07 | modeled | 2 | 107671 | 38 | 13.063 | 8242.4 |
427 | 2025-06-24 20:20:30 | modeled | 2 | 107671 | 38 | 13.156 | 8184.2 |
426 | 2025-06-24 11:02:51 | modeled | 2 | 107671 | 38 | 16.516 | 6519.2 |
425 | 2025-06-22 16:38:45 | modeled | 2 | 107671 | 38 | 17.283 | 6229.9 |
424 | 2025-06-21 23:21:51 | modeled | 1 | 69583 | 5 | 5.796 | 12005.3 |
423 | 2025-06-19 21:13:12 | modeled | 1 | 69583 | 5 | 6.050 | 11501.3 |
422 | 2025-06-17 05:45:16 | modeled | 1 | 69583 | 5 | 1.250 | 55666.4 |
421 | 2025-06-16 07:14:15 | modeled | 1 | 69583 | 5 | 7.186 | 9683.1 |
420 | 2025-06-10 09:37:30 | modeled | 1 | 69583 | 5 | 4.500 | 15462.9 |
419 | 2025-06-06 01:09:31 | modeled | 1 | 69583 | 5 | 6.520 | 10672.2 |
418 | 2025-06-02 15:30:04 | modeled | 1 | 69583 | 5 | 7.390 | 9415.8 |
417 | 2025-06-01 01:17:53 | modeled | 1 | 69583 | 5 | 6.376 | 10913.3 |
416 | 2025-05-30 15:50:29 | modeled | 1 | 69583 | 5 | 3.376 | 20611.1 |
415 | 2025-05-30 07:32:45 | modeled | 1 | 69583 | 5 | 6.923 | 10051.0 |
414 | 2025-05-28 20:17:26 | modeled | 2 | 107671 | 38 | 20.233 | 5321.6 |
413 | 2025-05-25 12:46:07 | modeled | 1 | 69583 | 5 | 1.063 | 65459.1 |
412 | 2025-05-21 23:21:13 | modeled | 1 | 69583 | 5 | 7.156 | 9723.7 |
411 | 2025-05-17 11:21:04 | modeled | 1 | 69583 | 5 | 2.766 | 25156.5 |
410 | 2025-05-17 00:44:15 | modeled | 1 | 69583 | 5 | 1.140 | 61037.7 |
409 | 2025-05-10 17:40:48 | modeled | 1 | 69583 | 5 | 2.906 | 23944.6 |
408 | 2025-05-10 15:39:10 | modeled | 1 | 69583 | 5 | 2.640 | 26357.2 |
407 | 2025-05-10 13:18:03 | modeled | 1 | 69583 | 5 | 6.063 | 11476.7 |
406 | 2025-05-10 07:39:19 | modeled | 1 | 69583 | 5 | 5.940 | 11714.3 |
405 | 2025-05-06 01:15:41 | modeled | 1 | 69583 | 5 | 5.766 | 12067.8 |
404 | 2025-04-30 00:05:10 | modeled | 3 | 134027 | 433 | 28.126 | 4765.2 |
403 | 2025-04-29 16:13:47 | modeled | 1 | 69583 | 5 | 1.280 | 54361.7 |
402 | 2025-04-29 05:07:02 | modeled | 3 | 134027 | 433 | 27.236 | 4921.0 |
401 | 2025-04-28 07:45:00 | modeled | 1 | 69583 | 5 | 5.750 | 12101.4 |
400 | 2025-04-27 11:36:07 | modeled | 3 | 134027 | 433 | 6.810 | 19680.9 |
399 | 2025-04-25 05:47:59 | modeled | 3 | 134027 | 433 | 7.233 | 18529.9 |
398 | 2025-04-23 14:41:50 | modeled | 3 | 134027 | 433 | 6.703 | 19995.1 |
397 | 2025-04-18 11:55:58 | modeled | 1 | 69583 | 5 | 2.906 | 23944.6 |
396 | 2025-04-09 09:10:53 | modeled | 1 | 69583 | 5 | 2.626 | 26497.7 |
395 | 2025-04-04 00:56:43 | modeled | 1 | 69583 | 5 | 5.530 | 12582.8 |
394 | 2025-04-02 03:03:34 | modeled | 2 | 107671 | 38 | 13.313 | 8087.7 |
393 | 2025-03-31 01:33:43 | modeled | 2 | 107671 | 38 | 13.296 | 8098.0 |
392 | 2025-03-29 07:27:44 | modeled | 2 | 107671 | 38 | 12.223 | 8808.9 |
391 | 2025-03-28 08:50:50 | modeled | 1 | 69583 | 5 | 1.110 | 62687.4 |
390 | 2025-03-20 00:07:08 | modeled | 1 | 69583 | 5 | 3.203 | 21724.3 |
389 | 2025-03-17 17:16:05 | modeled | 1 | 69583 | 5 | 6.250 | 11133.3 |
388 | 2025-03-10 03:57:35 | modeled | 2 | 107671 | 38 | 19.610 | 5490.6 |
387 | 2025-03-10 03:30:05 | modeled | 1 | 69583 | 5 | 8.856 | 7857.2 |
386 | 2025-03-04 21:48:50 | modeled | 1 | 69583 | 5 | 5.313 | 13096.7 |
385 | 2025-02-27 04:19:06 | modeled | 1 | 69583 | 5 | 4.986 | 13955.7 |
384 | 2025-02-25 21:36:49 | modeled | 3 | 134027 | 433 | 19.883 | 6740.8 |
383 | 2025-02-25 04:09:12 | modeled | 1 | 69583 | 5 | 2.906 | 23944.6 |
382 | 2025-02-22 11:15:38 | modeled | 3 | 134027 | 433 | 26.110 | 5133.2 |
381 | 2025-02-09 22:25:52 | modeled | 1 | 69583 | 5 | 3.050 | 22814.1 |
380 | 2025-02-08 08:07:12 | modeled | 1 | 69583 | 5 | 2.030 | 34277.3 |
379 | 2025-02-01 00:41:50 | modeled | 2 | 107671 | 38 | 16.423 | 6556.1 |
378 | 2025-02-01 00:27:49 | modeled | 3 | 134027 | 433 | 43.966 | 3048.4 |
377 | 2025-02-01 00:26:08 | modeled | 2 | 107671 | 38 | 23.703 | 4542.5 |
376 | 2025-01-31 19:10:28 | modeled | 3 | 134027 | 433 | 26.826 | 4996.2 |
375 | 2025-01-31 00:21:42 | modeled | 3 | 134027 | 433 | 35.326 | 3794.0 |
374 | 2025-01-31 00:21:36 | modeled | 2 | 107671 | 38 | 23.830 | 4518.3 |
373 | 2025-01-30 23:04:22 | modeled | 3 | 134027 | 433 | 32.626 | 4108.0 |
372 | 2025-01-30 23:04:22 | modeled | 2 | 107671 | 38 | 13.843 | 7778.0 |
371 | 2025-01-30 23:04:05 | modeled | 1 | 69583 | 5 | 7.296 | 9537.1 |
370 | 2025-01-26 17:53:36 | modeled | 1 | 69583 | 5 | 8.466 | 8219.1 |
369 | 2024-12-30 15:31:13 | modeled | 1 | 69583 | 5 | 6.250 | 11133.3 |
368 | 2024-12-09 04:23:20 | modeled | 1 | 69583 | 5 | 5.970 | 11655.4 |
367 | 2024-11-27 16:19:39 | modeled | 1 | 69583 | 5 | 5.860 | 11874.2 |
366 | 2024-11-18 23:29:52 | modeled | 1 | 69583 | 5 | 2.966 | 23460.2 |
365 | 2024-11-04 14:26:28 | modeled | 2 | 107671 | 38 | 8.123 | 13255.1 |
364 | 2024-11-04 14:26:24 | modeled | 2 | 107671 | 38 | 8.173 | 13174.0 |
363 | 2024-10-25 09:50:03 | modeled | 1 | 69583 | 5 | 8.016 | 8680.5 |
362 | 2024-10-15 20:58:43 | modeled | 1 | 69583 | 5 | 5.953 | 11688.7 |
361 | 2024-09-29 00:17:15 | modeled | 2 | 107671 | 38 | 30.470 | 3533.7 |
360 | 2024-09-27 14:02:36 | modeled | 2 | 107671 | 38 | 28.466 | 3782.4 |
359 | 2024-09-27 07:35:00 | modeled | 2 | 107671 | 38 | 46.940 | 2293.8 |
358 | 2024-09-27 07:34:28 | modeled | 3 | 134027 | 433 | 51.020 | 2627.0 |
357 | 2024-09-24 08:05:26 | modeled | 3 | 134027 | 433 | 52.893 | 2533.9 |
356 | 2024-09-23 16:30:07 | modeled | 3 | 134027 | 433 | 51.596 | 2597.6 |
355 | 2024-09-23 15:27:31 | modeled | 2 | 107671 | 38 | 3.220 | 33438.2 |
354 | 2024-09-21 03:50:55 | modeled | 2 | 107671 | 38 | 18.296 | 5884.9 |