History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trained"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
463 | 2025-04-23 20:57:21 | trained | 1 | 69583 | 11 | 6.970 | 9983.2 |
462 | 2025-04-23 04:15:02 | trained | 1 | 69583 | 11 | 7.876 | 8834.8 |
461 | 2025-04-20 00:14:29 | trained | 1 | 69583 | 11 | 8.080 | 8611.8 |
460 | 2025-04-11 17:22:11 | trained | 2 | 107671 | 69 | 19.406 | 5548.3 |
459 | 2025-04-08 23:47:07 | trained | 2 | 107671 | 69 | 13.190 | 8163.1 |
458 | 2025-04-08 23:24:09 | trained | 1 | 69583 | 11 | 3.750 | 18555.5 |
457 | 2025-04-07 21:21:26 | trained | 2 | 107671 | 69 | 25.376 | 4243.0 |
456 | 2025-04-03 23:36:01 | trained | 1 | 69583 | 11 | 4.156 | 16742.8 |
455 | 2025-04-02 02:08:47 | trained | 1 | 69583 | 11 | 5.330 | 13055.0 |
454 | 2025-03-21 05:25:35 | trained | 2 | 107671 | 69 | 30.263 | 3557.8 |
453 | 2025-03-21 03:54:55 | trained | 3 | 134027 | 755 | 38.350 | 3494.8 |
452 | 2025-03-20 01:39:04 | trained | 1 | 69583 | 11 | 4.733 | 14701.7 |
451 | 2025-03-20 01:01:58 | trained | 3 | 134027 | 755 | 30.800 | 4351.5 |
450 | 2025-03-19 22:17:40 | trained | 3 | 134027 | 755 | 36.266 | 3695.7 |
449 | 2025-03-19 19:17:17 | trained | 3 | 134027 | 755 | 5.860 | 22871.5 |
448 | 2025-03-19 10:50:17 | trained | 3 | 134027 | 755 | 35.470 | 3778.6 |
447 | 2025-03-18 01:24:26 | trained | 3 | 134027 | 755 | 46.283 | 2895.8 |
446 | 2025-03-18 01:24:26 | trained | 2 | 107671 | 69 | 14.453 | 7449.7 |
445 | 2025-03-10 17:08:49 | trained | 2 | 107671 | 69 | 17.186 | 6265.0 |
444 | 2025-03-10 10:10:01 | trained | 2 | 107671 | 69 | 7.953 | 13538.4 |
443 | 2025-03-09 22:15:56 | trained | 1 | 69583 | 11 | 7.780 | 8943.8 |
442 | 2025-03-09 06:17:09 | trained | 1 | 69583 | 11 | 5.203 | 13373.6 |
441 | 2025-03-09 06:16:36 | trained | 2 | 107671 | 69 | 15.953 | 6749.3 |
440 | 2025-03-09 06:16:34 | trained | 2 | 107671 | 69 | 13.640 | 7893.8 |
439 | 2025-03-04 01:44:35 | trained | 1 | 69583 | 11 | 4.296 | 16197.2 |
438 | 2025-03-03 00:26:17 | trained | 1 | 69583 | 11 | 5.330 | 13055.0 |
437 | 2025-03-01 17:25:33 | trained | 1 | 69583 | 11 | 3.653 | 19048.2 |
436 | 2025-02-06 14:38:02 | trained | 1 | 69583 | 11 | 2.796 | 24886.6 |
435 | 2025-02-01 11:38:00 | trained | 1 | 69583 | 11 | 1.216 | 57222.9 |
434 | 2025-01-31 17:39:52 | trained | 1 | 69583 | 11 | 8.830 | 7880.3 |
433 | 2025-01-28 11:51:40 | trained | 1 | 69583 | 11 | 5.826 | 11943.5 |
432 | 2024-12-30 15:22:39 | trained | 1 | 69583 | 11 | 5.346 | 13015.9 |
431 | 2024-12-28 12:54:22 | trained | 1 | 69583 | 11 | 5.703 | 12201.1 |
430 | 2024-12-22 23:25:24 | trained | 1 | 69583 | 11 | 4.580 | 15192.8 |
429 | 2024-11-20 10:07:16 | trained | 1 | 69583 | 11 | 8.280 | 8403.7 |
428 | 2024-10-27 17:42:57 | trained | 1 | 69583 | 11 | 2.796 | 24886.6 |
427 | 2024-10-27 12:12:19 | trained | 1 | 69583 | 11 | 4.016 | 17326.4 |
426 | 2024-10-17 10:20:40 | trained | 1 | 69583 | 11 | 5.923 | 11747.9 |
425 | 2024-09-28 02:37:15 | trained | 1 | 69583 | 11 | 4.893 | 14220.9 |
424 | 2024-09-18 13:08:33 | trained | 2 | 107671 | 69 | 34.800 | 3094.0 |
423 | 2024-09-18 13:05:08 | trained | 1 | 69583 | 11 | 4.373 | 15912.0 |
422 | 2024-09-08 01:05:44 | trained | 1 | 69583 | 11 | 8.140 | 8548.3 |
421 | 2024-09-06 00:34:48 | trained | 1 | 69583 | 11 | 9.860 | 7057.1 |
420 | 2024-08-23 03:58:12 | trained | 1 | 69583 | 11 | 6.626 | 10501.5 |
419 | 2024-08-16 12:29:26 | trained | 1 | 69583 | 11 | 10.813 | 6435.1 |
418 | 2024-08-13 04:43:39 | trained | 1 | 69583 | 11 | 9.063 | 7677.7 |
417 | 2024-08-03 00:51:07 | trained | 1 | 69583 | 11 | 1.326 | 52475.9 |
416 | 2024-08-01 23:19:31 | trained | 1 | 69583 | 11 | 2.343 | 29698.3 |
415 | 2024-08-01 13:18:20 | trained | 1 | 69583 | 11 | 6.890 | 10099.1 |
414 | 2024-07-20 21:17:57 | trained | 1 | 69583 | 11 | 2.266 | 30707.4 |
413 | 2024-07-13 23:37:57 | trained | 1 | 69583 | 11 | 6.030 | 11539.5 |
412 | 2024-07-06 12:38:34 | trained | 1 | 69583 | 11 | 4.720 | 14742.2 |
411 | 2024-07-05 15:30:24 | trained | 1 | 69583 | 11 | 6.346 | 10964.9 |
410 | 2024-07-02 22:28:45 | trained | 1 | 69583 | 11 | 5.063 | 13743.4 |
409 | 2024-07-02 04:26:15 | trained | 1 | 69583 | 11 | 3.250 | 21410.2 |
408 | 2024-05-29 21:29:38 | trained | 1 | 69583 | 11 | 4.360 | 15959.4 |
407 | 2024-05-29 10:35:31 | trained | 1 | 69583 | 11 | 4.626 | 15041.7 |
406 | 2024-05-14 07:20:38 | trained | 3 | 134027 | 755 | 9.703 | 13812.9 |
405 | 2024-05-12 10:44:26 | trained | 3 | 134027 | 755 | 14.953 | 8963.2 |
404 | 2024-05-11 14:09:34 | trained | 3 | 134027 | 755 | 17.813 | 7524.1 |
403 | 2024-05-11 03:17:03 | trained | 3 | 134027 | 755 | 12.690 | 10561.6 |
402 | 2024-05-08 22:19:38 | trained | 3 | 134027 | 755 | 16.326 | 8209.4 |
401 | 2024-05-08 21:34:28 | trained | 3 | 134027 | 755 | 6.516 | 20568.9 |
400 | 2024-04-30 14:03:43 | trained | 1 | 69583 | 11 | 3.376 | 20611.1 |
399 | 2024-04-13 14:39:41 | trained | 2 | 107671 | 69 | 3.390 | 31761.4 |
398 | 2024-04-13 14:39:09 | trained | 3 | 134027 | 755 | 7.486 | 17903.7 |
397 | 2024-04-13 00:15:32 | trained | 3 | 134027 | 755 | 11.220 | 11945.4 |
396 | 2024-04-10 15:12:40 | trained | 3 | 134027 | 755 | 23.673 | 5661.6 |
395 | 2024-04-10 12:02:42 | trained | 3 | 134027 | 755 | 12.266 | 10926.7 |
394 | 2024-04-10 05:23:20 | trained | 3 | 134027 | 755 | 8.656 | 15483.7 |
393 | 2024-04-10 05:23:02 | trained | 2 | 107671 | 69 | 3.313 | 32499.5 |
392 | 2024-04-09 20:50:07 | trained | 2 | 107671 | 69 | 3.970 | 27121.2 |
391 | 2024-04-04 20:20:53 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
390 | 2024-03-01 00:53:49 | trained | 1 | 69583 | 11 | 2.033 | 34226.8 |
389 | 2024-01-11 15:13:52 | trained | 2 | 107671 | 69 | 2.830 | 38046.3 |
388 | 2024-01-11 15:13:44 | trained | 3 | 134027 | 755 | 6.203 | 21606.8 |
387 | 2024-01-03 10:51:19 | trained | 3 | 134027 | 755 | 6.936 | 19323.4 |
386 | 2023-12-28 19:34:45 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
385 | 2023-12-28 03:39:01 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
384 | 2023-12-25 09:52:10 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
383 | 2023-12-11 18:58:45 | trained | 2 | 107671 | 69 | 3.346 | 32179.0 |
382 | 2023-12-02 04:31:54 | trained | 3 | 134027 | 755 | 6.063 | 22105.7 |
381 | 2023-12-02 04:31:52 | trained | 2 | 107671 | 69 | 3.030 | 35535.0 |
380 | 2023-11-24 23:09:15 | trained | 1 | 69583 | 11 | 1.280 | 54361.7 |
379 | 2023-11-16 22:55:30 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
378 | 2023-11-14 16:16:14 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
377 | 2023-11-06 19:50:11 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
376 | 2023-10-22 07:54:06 | trained | 1 | 69583 | 11 | 1.626 | 42794.0 |
375 | 2023-10-19 02:06:31 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
374 | 2023-10-15 17:52:07 | trained | 1 | 69583 | 11 | 1.043 | 66714.3 |
373 | 2023-10-15 11:59:20 | trained | 1 | 69583 | 11 | 1.076 | 64668.2 |
372 | 2023-10-11 03:01:36 | trained | 3 | 134027 | 755 | 6.843 | 19586.0 |
371 | 2023-10-09 17:59:42 | trained | 3 | 134027 | 755 | 7.563 | 17721.4 |
370 | 2023-10-09 07:40:06 | trained | 3 | 134027 | 755 | 5.876 | 22809.2 |
369 | 2023-09-29 12:09:41 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
368 | 2023-09-22 20:14:34 | trained | 1 | 69583 | 11 | 1.153 | 60349.5 |
367 | 2023-09-16 16:28:28 | trained | 2 | 107671 | 69 | 2.986 | 36058.6 |
366 | 2023-09-09 02:04:22 | trained | 2 | 107671 | 69 | 2.826 | 38100.1 |
365 | 2023-08-10 15:05:28 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
364 | 2023-07-20 21:38:18 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |