History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"relearn"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
433 | 2025-04-26 02:27:44 | relearn | 2 | 107671 | 23 | 19.550 | 5507.5 |
432 | 2025-04-24 05:54:59 | relearn | 2 | 107671 | 23 | 14.846 | 7252.5 |
431 | 2025-04-20 06:46:36 | relearn | 1 | 69583 | 4 | 4.733 | 14701.7 |
430 | 2025-04-20 03:32:28 | relearn | 1 | 69583 | 4 | 6.130 | 11351.2 |
429 | 2025-04-18 04:24:58 | relearn | 3 | 134027 | 200 | 31.816 | 4212.6 |
428 | 2025-04-16 08:32:27 | relearn | 3 | 134027 | 200 | 34.593 | 3874.4 |
427 | 2025-04-14 17:27:23 | relearn | 3 | 134027 | 200 | 20.360 | 6582.9 |
426 | 2025-04-14 08:37:05 | relearn | 2 | 107671 | 23 | 13.596 | 7919.3 |
425 | 2025-04-14 06:16:30 | relearn | 3 | 134027 | 200 | 21.813 | 6144.4 |
424 | 2025-04-12 09:19:10 | relearn | 2 | 107671 | 23 | 16.673 | 6457.8 |
423 | 2025-04-11 22:02:26 | relearn | 3 | 134027 | 200 | 18.156 | 7382.0 |
422 | 2025-04-11 04:36:15 | relearn | 1 | 69583 | 4 | 6.216 | 11194.2 |
421 | 2025-04-09 14:39:25 | relearn | 1 | 69583 | 4 | 6.483 | 10733.1 |
420 | 2025-04-02 16:32:03 | relearn | 1 | 69583 | 4 | 2.906 | 23944.6 |
419 | 2025-03-25 01:51:20 | relearn | 1 | 69583 | 4 | 4.716 | 14754.7 |
418 | 2025-03-20 08:42:41 | relearn | 1 | 69583 | 4 | 7.500 | 9277.7 |
417 | 2025-03-20 03:58:59 | relearn | 1 | 69583 | 4 | 10.623 | 6550.2 |
416 | 2025-03-10 10:37:49 | relearn | 1 | 69583 | 4 | 5.610 | 12403.4 |
415 | 2025-03-08 19:23:05 | relearn | 1 | 69583 | 4 | 5.483 | 12690.7 |
414 | 2025-03-03 00:36:59 | relearn | 1 | 69583 | 4 | 3.030 | 22964.7 |
413 | 2025-02-17 13:31:25 | relearn | 1 | 69583 | 4 | 8.690 | 8007.2 |
412 | 2025-02-11 09:58:37 | relearn | 1 | 69583 | 4 | 1.106 | 62914.1 |
411 | 2025-01-15 08:22:40 | relearn | 1 | 69583 | 4 | 3.203 | 21724.3 |
410 | 2025-01-06 07:05:38 | relearn | 1 | 69583 | 4 | 5.720 | 12164.9 |
409 | 2024-12-12 06:01:58 | relearn | 1 | 69583 | 4 | 1.313 | 52995.4 |
408 | 2024-12-06 00:13:36 | relearn | 1 | 69583 | 4 | 2.670 | 26061.0 |
407 | 2024-10-31 09:38:45 | relearn | 1 | 69583 | 4 | 3.016 | 23071.3 |
406 | 2024-10-28 15:30:25 | relearn | 1 | 69583 | 4 | 5.986 | 11624.3 |
405 | 2024-10-12 18:05:09 | relearn | 3 | 134027 | 200 | 40.600 | 3301.2 |
404 | 2024-10-11 15:58:49 | relearn | 3 | 134027 | 200 | 33.813 | 3963.8 |
403 | 2024-10-10 19:16:11 | relearn | 3 | 134027 | 200 | 32.753 | 4092.1 |
402 | 2024-10-05 14:49:42 | relearn | 1 | 69583 | 4 | 7.876 | 8834.8 |
401 | 2024-09-20 14:41:26 | relearn | 1 | 69583 | 4 | 8.936 | 7786.8 |
400 | 2024-09-17 10:10:46 | relearn | 2 | 107671 | 23 | 26.593 | 4048.8 |
399 | 2024-09-16 01:22:17 | relearn | 2 | 107671 | 23 | 37.546 | 2867.7 |
398 | 2024-09-16 01:21:45 | relearn | 1 | 69583 | 4 | 4.233 | 16438.2 |
397 | 2024-08-29 12:00:00 | relearn | 1 | 69583 | 4 | 1.173 | 59320.5 |
396 | 2024-08-19 08:42:57 | relearn | 1 | 69583 | 4 | 9.063 | 7677.7 |
395 | 2024-08-13 04:49:21 | relearn | 1 | 69583 | 4 | 5.796 | 12005.3 |
394 | 2024-08-12 19:39:31 | relearn | 3 | 134027 | 200 | 28.470 | 4707.7 |
393 | 2024-08-07 04:42:14 | relearn | 1 | 69583 | 4 | 2.876 | 24194.4 |
392 | 2024-08-03 19:50:26 | relearn | 1 | 69583 | 4 | 5.080 | 13697.4 |
391 | 2024-08-02 20:09:10 | relearn | 3 | 134027 | 200 | 17.283 | 7754.8 |
390 | 2024-08-02 16:48:03 | relearn | 1 | 69583 | 4 | 3.436 | 20251.2 |
389 | 2024-08-02 08:53:47 | relearn | 3 | 134027 | 200 | 42.140 | 3180.5 |
388 | 2024-08-01 01:34:49 | relearn | 3 | 134027 | 200 | 39.706 | 3375.5 |
387 | 2024-07-31 23:20:42 | relearn | 3 | 134027 | 200 | 39.173 | 3421.4 |
386 | 2024-07-31 06:41:08 | relearn | 3 | 134027 | 200 | 22.500 | 5956.8 |
385 | 2024-07-30 10:53:39 | relearn | 2 | 107671 | 23 | 13.173 | 8173.6 |
384 | 2024-07-29 08:49:00 | relearn | 1 | 69583 | 4 | 1.363 | 51051.4 |
383 | 2024-07-27 08:49:13 | relearn | 1 | 69583 | 4 | 5.733 | 12137.3 |
382 | 2024-07-24 14:33:25 | relearn | 1 | 69583 | 4 | 4.876 | 14270.5 |
381 | 2024-07-21 22:07:36 | relearn | 1 | 69583 | 4 | 4.533 | 15350.3 |
380 | 2024-07-20 01:48:30 | relearn | 1 | 69583 | 4 | 3.800 | 18311.3 |
379 | 2024-07-18 00:30:34 | relearn | 1 | 69583 | 4 | 6.436 | 10811.5 |
378 | 2024-07-14 23:17:33 | relearn | 2 | 107671 | 23 | 14.830 | 7260.4 |
377 | 2024-07-14 23:16:54 | relearn | 1 | 69583 | 4 | 3.266 | 21305.3 |
376 | 2024-07-03 14:35:22 | relearn | 3 | 134027 | 200 | 14.143 | 9476.6 |
375 | 2024-07-03 00:00:51 | relearn | 1 | 69583 | 4 | 4.250 | 16372.5 |
374 | 2024-06-30 03:57:13 | relearn | 3 | 134027 | 200 | 35.470 | 3778.6 |
373 | 2024-06-29 20:54:16 | relearn | 3 | 134027 | 200 | 22.030 | 6083.8 |
372 | 2024-06-29 18:12:42 | relearn | 3 | 134027 | 200 | 28.190 | 4754.4 |
371 | 2024-06-29 17:42:40 | relearn | 3 | 134027 | 200 | 24.503 | 5469.8 |
370 | 2024-06-29 16:22:01 | relearn | 3 | 134027 | 200 | 24.890 | 5384.8 |
369 | 2024-06-29 16:21:55 | relearn | 2 | 107671 | 23 | 19.220 | 5602.0 |
368 | 2024-06-29 16:21:18 | relearn | 1 | 69583 | 4 | 4.220 | 16488.9 |
367 | 2024-06-17 16:21:28 | relearn | 1 | 69583 | 4 | 2.093 | 33245.6 |
366 | 2024-06-07 12:24:58 | relearn | 1 | 69583 | 4 | 4.063 | 17126.0 |
365 | 2024-06-05 13:28:01 | relearn | 1 | 69583 | 4 | 2.030 | 34277.3 |
364 | 2024-05-28 11:20:59 | relearn | 1 | 69583 | 4 | 2.453 | 28366.5 |
363 | 2024-05-28 09:33:31 | relearn | 3 | 134027 | 200 | 45.783 | 2927.4 |
362 | 2024-05-25 05:49:25 | relearn | 3 | 134027 | 200 | 18.953 | 7071.5 |
361 | 2024-05-23 09:26:20 | relearn | 3 | 134027 | 200 | 19.563 | 6851.0 |
360 | 2024-05-16 11:19:02 | relearn | 2 | 107671 | 23 | 11.720 | 9186.9 |
359 | 2024-05-16 11:12:59 | relearn | 3 | 134027 | 200 | 8.546 | 15683.0 |
358 | 2024-05-16 09:34:23 | relearn | 3 | 134027 | 200 | 7.640 | 17542.8 |
357 | 2024-05-15 08:33:44 | relearn | 2 | 107671 | 23 | 4.000 | 26917.8 |
356 | 2024-05-15 08:33:32 | relearn | 3 | 134027 | 200 | 7.736 | 17325.1 |
355 | 2024-05-15 05:38:44 | relearn | 3 | 134027 | 200 | 7.940 | 16880.0 |
354 | 2024-04-27 18:01:21 | relearn | 2 | 107671 | 23 | 6.530 | 16488.7 |
353 | 2024-03-28 06:16:28 | relearn | 1 | 69583 | 4 | 1.266 | 54962.9 |
352 | 2024-03-18 19:00:12 | relearn | 2 | 107671 | 23 | 2.923 | 36835.8 |
351 | 2024-02-14 19:35:01 | relearn | 3 | 134027 | 200 | 14.330 | 9352.9 |
350 | 2024-02-12 12:21:47 | relearn | 1 | 69583 | 4 | 2.780 | 25029.9 |
349 | 2024-02-08 07:39:43 | relearn | 3 | 134027 | 200 | 9.860 | 13593.0 |
348 | 2024-02-05 19:37:17 | relearn | 2 | 107671 | 23 | 3.580 | 30075.7 |
347 | 2024-02-05 19:37:05 | relearn | 3 | 134027 | 200 | 6.843 | 19586.0 |
346 | 2024-02-04 19:26:14 | relearn | 3 | 134027 | 200 | 15.906 | 8426.2 |
345 | 2024-02-04 17:07:54 | relearn | 3 | 134027 | 200 | 10.486 | 12781.5 |
344 | 2024-02-04 13:57:46 | relearn | 3 | 134027 | 200 | 22.343 | 5998.6 |
343 | 2024-01-09 05:08:29 | relearn | 3 | 134027 | 200 | 8.016 | 16719.9 |
342 | 2023-12-17 11:37:39 | relearn | 3 | 134027 | 200 | 6.906 | 19407.3 |
341 | 2023-12-17 11:37:38 | relearn | 2 | 107671 | 23 | 3.546 | 30364.1 |
340 | 2023-12-12 12:32:32 | relearn | 2 | 107671 | 23 | 2.920 | 36873.6 |
339 | 2023-12-08 17:12:17 | relearn | 1 | 69583 | 4 | 1.250 | 55666.4 |
338 | 2023-12-01 18:31:57 | relearn | 1 | 69583 | 4 | 1.093 | 63662.4 |
337 | 2023-12-01 04:30:11 | relearn | 3 | 134027 | 200 | 6.920 | 19368.1 |
336 | 2023-11-27 11:30:55 | relearn | 2 | 107671 | 23 | 3.030 | 35535.0 |
335 | 2023-11-12 09:14:13 | relearn | 1 | 69583 | 4 | 1.173 | 59320.5 |
334 | 2023-11-01 19:39:17 | relearn | 1 | 69583 | 4 | 1.296 | 53690.6 |