History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trainful"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
425 | 2025-09-11 00:25:39 | trainful | 3 | 146162 | 57 | 8.390 | 17421.0 |
424 | 2025-08-13 17:12:34 | trainful | 1 | 82945 | 2 | 2.893 | 28670.9 |
423 | 2025-08-12 06:55:42 | trainful | 3 | 146162 | 57 | 15.420 | 9478.7 |
422 | 2025-08-05 05:40:43 | trainful | 1 | 82945 | 2 | 4.670 | 17761.2 |
421 | 2025-08-05 02:20:51 | trainful | 1 | 82945 | 2 | 3.640 | 22787.1 |
420 | 2025-07-26 12:16:58 | trainful | 1 | 82945 | 2 | 7.156 | 11591.0 |
419 | 2025-07-25 13:06:07 | trainful | 1 | 82945 | 2 | 3.250 | 25521.5 |
418 | 2025-07-17 14:59:06 | trainful | 3 | 146162 | 57 | 33.876 | 4314.6 |
417 | 2025-07-17 11:54:05 | trainful | 2 | 121059 | 6 | 19.203 | 6304.2 |
416 | 2025-07-17 10:45:44 | trainful | 1 | 82945 | 2 | 7.546 | 10991.9 |
415 | 2025-07-15 22:33:15 | trainful | 1 | 82945 | 2 | 6.266 | 13237.3 |
414 | 2025-07-15 19:57:06 | trainful | 1 | 82945 | 2 | 2.703 | 30686.3 |
413 | 2025-07-13 05:25:19 | trainful | 1 | 82945 | 2 | 9.690 | 8559.9 |
412 | 2025-07-02 04:40:13 | trainful | 1 | 82945 | 2 | 7.406 | 11199.7 |
411 | 2025-07-02 01:46:55 | trainful | 4 | 161609 | 355 | 42.503 | 3802.3 |
410 | 2025-06-29 21:48:21 | trainful | 4 | 161609 | 355 | 63.846 | 2531.2 |
409 | 2025-06-29 15:58:07 | trainful | 1 | 82945 | 2 | 1.516 | 54713.1 |
408 | 2025-06-29 09:58:24 | trainful | 1 | 82945 | 2 | 1.530 | 54212.4 |
407 | 2025-06-27 23:10:31 | trainful | 4 | 161609 | 355 | 55.363 | 2919.1 |
406 | 2025-06-27 04:42:24 | trainful | 1 | 82945 | 2 | 10.070 | 8236.8 |
405 | 2025-06-26 23:34:23 | trainful | 4 | 161609 | 355 | 12.280 | 13160.3 |
404 | 2025-06-26 20:08:00 | trainful | 2 | 121059 | 6 | 19.343 | 6258.5 |
403 | 2025-06-25 03:33:33 | trainful | 3 | 146162 | 57 | 21.346 | 6847.3 |
402 | 2025-06-24 06:37:20 | trainful | 2 | 121059 | 6 | 9.096 | 13309.0 |
401 | 2025-06-23 22:32:47 | trainful | 1 | 82945 | 2 | 5.936 | 13973.2 |
400 | 2025-06-22 19:17:45 | trainful | 3 | 146162 | 57 | 9.640 | 15162.0 |
399 | 2025-06-22 00:20:41 | trainful | 1 | 82945 | 2 | 7.643 | 10852.4 |
398 | 2025-06-16 01:51:22 | trainful | 3 | 146162 | 57 | 31.486 | 4642.1 |
397 | 2025-06-14 13:36:52 | trainful | 3 | 146162 | 57 | 48.690 | 3001.9 |
396 | 2025-06-14 02:44:02 | trainful | 1 | 82945 | 2 | 9.016 | 9199.8 |
395 | 2025-06-14 01:06:06 | trainful | 2 | 121059 | 6 | 14.766 | 8198.5 |
394 | 2025-06-13 11:46:22 | trainful | 3 | 146162 | 57 | 74.536 | 1961.0 |
393 | 2025-06-13 08:52:34 | trainful | 2 | 121059 | 6 | 3.830 | 31608.1 |
392 | 2025-06-12 15:02:15 | trainful | 1 | 82945 | 2 | 6.780 | 12233.8 |
391 | 2025-06-12 04:37:02 | trainful | 1 | 82945 | 2 | 4.670 | 17761.2 |
390 | 2025-06-11 20:00:43 | trainful | 1 | 82945 | 2 | 6.266 | 13237.3 |
389 | 2025-06-02 03:29:36 | trainful | 1 | 82945 | 2 | 4.876 | 17010.9 |
388 | 2025-05-27 08:37:42 | trainful | 1 | 82945 | 2 | 7.720 | 10744.2 |
387 | 2025-05-26 19:24:20 | trainful | 1 | 82945 | 2 | 10.903 | 7607.5 |
386 | 2025-05-26 03:22:49 | trainful | 1 | 82945 | 2 | 10.110 | 8204.3 |
385 | 2025-05-24 04:49:49 | trainful | 1 | 82945 | 2 | 3.860 | 21488.3 |
384 | 2025-05-22 14:27:51 | trainful | 1 | 82945 | 2 | 7.326 | 11322.0 |
383 | 2025-05-20 06:09:11 | trainful | 2 | 121059 | 6 | 21.970 | 5510.2 |
382 | 2025-05-18 21:44:00 | trainful | 1 | 82945 | 2 | 1.486 | 55817.6 |
381 | 2025-05-07 20:15:23 | trainful | 1 | 82945 | 2 | 10.000 | 8294.5 |
380 | 2025-05-02 22:16:17 | trainful | 3 | 146162 | 57 | 42.910 | 3406.2 |
379 | 2025-05-01 12:25:15 | trainful | 3 | 146162 | 57 | 32.500 | 4497.3 |
378 | 2025-04-29 19:04:14 | trainful | 3 | 146162 | 57 | 34.520 | 4234.1 |
377 | 2025-04-29 10:32:53 | trainful | 1 | 82945 | 2 | 1.453 | 57085.3 |
376 | 2025-04-29 00:28:57 | trainful | 3 | 146162 | 57 | 6.466 | 22604.7 |
375 | 2025-04-15 20:17:47 | trainful | 1 | 82945 | 2 | 7.063 | 11743.6 |
374 | 2025-04-06 04:14:03 | trainful | 1 | 82945 | 2 | 7.203 | 11515.3 |
373 | 2025-03-30 21:04:19 | trainful | 1 | 82945 | 2 | 6.313 | 13138.8 |
372 | 2025-03-30 17:58:09 | trainful | 4 | 161609 | 355 | 13.013 | 12419.0 |
371 | 2025-03-29 15:25:58 | trainful | 1 | 82945 | 2 | 8.953 | 9264.5 |
370 | 2025-03-28 04:24:42 | trainful | 4 | 161609 | 355 | 49.293 | 3278.5 |
369 | 2025-03-27 19:43:42 | trainful | 4 | 161609 | 355 | 61.550 | 2625.7 |
368 | 2025-03-27 03:26:27 | trainful | 4 | 161609 | 355 | 67.113 | 2408.0 |
367 | 2025-03-24 23:00:46 | trainful | 4 | 161609 | 355 | 63.973 | 2526.2 |
366 | 2025-03-13 19:48:39 | trainful | 4 | 161609 | 355 | 57.643 | 2803.6 |
365 | 2025-03-13 15:31:09 | trainful | 4 | 161609 | 355 | 66.376 | 2434.8 |
364 | 2025-03-13 13:06:10 | trainful | 4 | 161609 | 355 | 62.580 | 2582.4 |
363 | 2025-03-09 20:40:21 | trainful | 1 | 82945 | 2 | 8.656 | 9582.4 |
362 | 2025-03-09 06:48:54 | trainful | 1 | 82945 | 2 | 10.280 | 8068.6 |
361 | 2025-03-04 16:16:56 | trainful | 4 | 161609 | 355 | 87.363 | 1849.9 |
360 | 2025-02-12 13:51:58 | trainful | 4 | 161609 | 355 | 53.343 | 3029.6 |
359 | 2025-02-10 13:46:58 | trainful | 4 | 161609 | 355 | 52.066 | 3103.9 |
358 | 2025-02-10 04:32:05 | trainful | 4 | 161609 | 355 | 52.956 | 3051.8 |
357 | 2025-02-08 23:24:35 | trainful | 4 | 161609 | 355 | 64.876 | 2491.0 |
356 | 2025-02-08 09:35:16 | trainful | 1 | 82945 | 2 | 5.326 | 15573.6 |
355 | 2025-02-04 22:21:57 | trainful | 1 | 82945 | 2 | 1.296 | 64000.8 |
354 | 2025-02-01 12:51:14 | trainful | 2 | 121059 | 6 | 15.063 | 8036.8 |
353 | 2025-02-01 12:50:31 | trainful | 3 | 146162 | 57 | 7.346 | 19896.8 |
352 | 2025-02-01 09:08:39 | trainful | 2 | 121059 | 6 | 15.750 | 7686.3 |
351 | 2025-01-28 04:28:36 | trainful | 1 | 82945 | 2 | 4.656 | 17814.6 |
350 | 2025-01-28 04:28:16 | trainful | 2 | 121059 | 6 | 9.170 | 13201.6 |
349 | 2025-01-27 01:13:37 | trainful | 2 | 121059 | 6 | 4.593 | 26357.3 |
348 | 2025-01-27 01:13:31 | trainful | 1 | 82945 | 2 | 1.920 | 43200.5 |
347 | 2025-01-24 21:35:58 | trainful | 1 | 82945 | 2 | 7.110 | 11666.0 |
346 | 2025-01-24 20:36:36 | trainful | 3 | 146162 | 57 | 16.513 | 8851.3 |
345 | 2025-01-23 21:04:08 | trainful | 3 | 146162 | 57 | 26.893 | 5434.9 |
344 | 2025-01-17 18:57:31 | trainful | 3 | 146162 | 57 | 45.563 | 3207.9 |
343 | 2025-01-16 21:12:33 | trainful | 3 | 146162 | 57 | 39.096 | 3738.5 |
342 | 2025-01-12 20:20:52 | trainful | 4 | 161609 | 355 | 93.066 | 1736.5 |
341 | 2025-01-07 20:51:32 | trainful | 4 | 161609 | 355 | 34.016 | 4751.0 |
340 | 2025-01-06 17:29:08 | trainful | 4 | 161609 | 355 | 62.840 | 2571.8 |
339 | 2025-01-06 06:45:02 | trainful | 4 | 161609 | 355 | 20.766 | 7782.4 |
338 | 2025-01-02 17:42:50 | trainful | 1 | 82945 | 2 | 3.296 | 25165.4 |
337 | 2024-12-26 15:48:34 | trainful | 2 | 121059 | 6 | 3.313 | 36540.6 |
336 | 2024-12-26 04:44:24 | trainful | 1 | 82945 | 2 | 6.686 | 12405.8 |
335 | 2024-12-25 09:03:57 | trainful | 1 | 82945 | 2 | 6.516 | 12729.4 |
334 | 2024-12-24 04:42:39 | trainful | 1 | 82945 | 2 | 2.106 | 39385.1 |
333 | 2024-12-19 15:53:42 | trainful | 2 | 121059 | 6 | 3.906 | 30993.1 |
332 | 2024-12-12 18:54:35 | trainful | 4 | 161609 | 355 | 67.566 | 2391.9 |
331 | 2024-12-10 16:17:49 | trainful | 3 | 146162 | 57 | 22.956 | 6367.1 |
330 | 2024-12-08 19:40:21 | trainful | 3 | 146162 | 57 | 48.330 | 3024.2 |
329 | 2024-12-08 05:13:44 | trainful | 3 | 146162 | 57 | 37.830 | 3863.7 |
328 | 2024-12-07 13:04:58 | trainful | 4 | 161609 | 355 | 47.393 | 3410.0 |
327 | 2024-12-07 13:04:58 | trainful | 2 | 121059 | 6 | 10.313 | 11738.5 |
326 | 2024-12-07 12:30:11 | trainful | 3 | 146162 | 57 | 7.453 | 19611.2 |