History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unlearn"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
395 | 2025-09-01 13:20:27 | unlearn | 2 | 107671 | 16 | 2.966 | 36301.8 |
394 | 2025-09-01 09:32:37 | unlearn | 1 | 69583 | 3 | 1.233 | 56433.9 |
393 | 2025-09-01 02:19:06 | unlearn | 1 | 69583 | 3 | 1.156 | 60192.9 |
392 | 2025-08-26 15:45:27 | unlearn | 3 | 134027 | 142 | 6.686 | 20045.9 |
391 | 2025-08-25 15:30:16 | unlearn | 1 | 69583 | 3 | 6.250 | 11133.3 |
390 | 2025-08-25 15:07:09 | unlearn | 1 | 69583 | 3 | 3.080 | 22591.9 |
389 | 2025-08-23 19:20:10 | unlearn | 3 | 134027 | 142 | 18.110 | 7400.7 |
388 | 2025-08-22 19:18:50 | unlearn | 3 | 134027 | 142 | 7.216 | 18573.6 |
387 | 2025-08-21 11:58:55 | unlearn | 1 | 69583 | 3 | 5.906 | 11781.7 |
386 | 2025-08-21 10:03:02 | unlearn | 1 | 69583 | 3 | 2.453 | 28366.5 |
385 | 2025-08-19 03:16:18 | unlearn | 2 | 107671 | 16 | 12.686 | 8487.4 |
384 | 2025-08-16 09:52:39 | unlearn | 2 | 107671 | 16 | 3.376 | 31893.1 |
383 | 2025-08-14 17:40:07 | unlearn | 2 | 107671 | 16 | 2.936 | 36672.7 |
382 | 2025-08-14 17:39:48 | unlearn | 3 | 134027 | 142 | 6.766 | 19808.9 |
381 | 2025-08-12 02:16:22 | unlearn | 3 | 134027 | 142 | 14.940 | 8971.0 |
380 | 2025-08-11 02:07:44 | unlearn | 1 | 69583 | 3 | 4.673 | 14890.4 |
379 | 2025-08-11 00:20:10 | unlearn | 1 | 69583 | 3 | 1.203 | 57841.2 |
378 | 2025-08-06 09:16:58 | unlearn | 2 | 107671 | 16 | 8.813 | 12217.3 |
377 | 2025-08-04 08:54:54 | unlearn | 2 | 107671 | 16 | 5.186 | 20761.9 |
376 | 2025-08-04 02:39:22 | unlearn | 2 | 107671 | 16 | 8.753 | 12301.0 |
375 | 2025-08-03 16:18:46 | unlearn | 2 | 107671 | 16 | 15.906 | 6769.2 |
374 | 2025-07-31 23:38:37 | unlearn | 3 | 134027 | 142 | 22.016 | 6087.7 |
373 | 2025-07-31 03:51:26 | unlearn | 3 | 134027 | 142 | 14.360 | 9333.4 |
372 | 2025-07-31 03:36:44 | unlearn | 1 | 69583 | 3 | 1.250 | 55666.4 |
371 | 2025-07-30 12:27:35 | unlearn | 3 | 134027 | 142 | 9.753 | 13742.1 |
370 | 2025-07-28 18:02:13 | unlearn | 2 | 107671 | 16 | 14.296 | 7531.5 |
369 | 2025-07-27 19:31:04 | unlearn | 3 | 134027 | 142 | 17.703 | 7570.9 |
368 | 2025-07-27 16:49:19 | unlearn | 1 | 69583 | 3 | 2.216 | 31400.3 |
367 | 2025-07-25 11:38:35 | unlearn | 2 | 107671 | 16 | 7.546 | 14268.6 |
366 | 2025-07-25 11:36:00 | unlearn | 3 | 134027 | 142 | 22.190 | 6040.0 |
365 | 2025-07-24 19:57:55 | unlearn | 1 | 69583 | 3 | 2.906 | 23944.6 |
364 | 2025-07-23 01:46:27 | unlearn | 1 | 69583 | 3 | 5.953 | 11688.7 |
363 | 2025-07-19 23:25:42 | unlearn | 3 | 134027 | 142 | 7.143 | 18763.4 |
362 | 2025-07-19 21:13:53 | unlearn | 2 | 107671 | 16 | 3.233 | 33303.7 |
361 | 2025-07-18 16:26:15 | unlearn | 1 | 69583 | 3 | 2.813 | 24736.2 |
360 | 2025-07-17 20:53:38 | unlearn | 1 | 69583 | 3 | 4.280 | 16257.7 |
359 | 2025-07-17 07:40:29 | unlearn | 3 | 134027 | 142 | 18.750 | 7148.1 |
358 | 2025-07-08 11:39:14 | unlearn | 3 | 134027 | 142 | 34.346 | 3902.3 |
357 | 2025-07-05 20:50:04 | unlearn | 3 | 134027 | 142 | 7.170 | 18692.7 |
356 | 2025-07-04 22:32:47 | unlearn | 3 | 134027 | 142 | 44.593 | 3005.6 |
355 | 2025-07-03 15:08:00 | unlearn | 3 | 134027 | 142 | 7.313 | 18327.2 |
354 | 2025-07-03 09:19:47 | unlearn | 3 | 134027 | 142 | 28.656 | 4677.1 |
353 | 2025-07-02 06:11:24 | unlearn | 3 | 134027 | 142 | 30.406 | 4407.9 |
352 | 2025-06-28 10:57:52 | unlearn | 1 | 69583 | 3 | 5.530 | 12582.8 |
351 | 2025-06-27 05:37:30 | unlearn | 3 | 134027 | 142 | 27.270 | 4914.8 |
350 | 2025-06-26 23:51:24 | unlearn | 3 | 134027 | 142 | 6.436 | 20824.6 |
349 | 2025-06-25 23:05:27 | unlearn | 3 | 134027 | 142 | 35.330 | 3793.6 |
348 | 2025-06-24 15:42:36 | unlearn | 1 | 69583 | 3 | 3.406 | 20429.5 |
347 | 2025-06-23 11:33:33 | unlearn | 2 | 107671 | 16 | 16.736 | 6433.5 |
346 | 2025-06-22 23:08:40 | unlearn | 3 | 134027 | 142 | 6.703 | 19995.1 |
345 | 2025-06-21 14:18:54 | unlearn | 2 | 107671 | 16 | 3.313 | 32499.5 |
344 | 2025-06-17 09:24:55 | unlearn | 2 | 107671 | 16 | 3.296 | 32667.2 |
343 | 2025-06-17 03:06:33 | unlearn | 3 | 134027 | 142 | 31.343 | 4276.1 |
342 | 2025-06-16 15:49:41 | unlearn | 3 | 134027 | 142 | 42.686 | 3139.8 |
341 | 2025-06-16 12:52:24 | unlearn | 2 | 107671 | 16 | 24.706 | 4358.1 |
340 | 2025-06-16 10:01:07 | unlearn | 3 | 134027 | 142 | 27.673 | 4843.2 |
339 | 2025-06-16 04:02:36 | unlearn | 2 | 107671 | 16 | 7.486 | 14383.0 |
338 | 2025-06-15 16:54:24 | unlearn | 1 | 69583 | 3 | 1.203 | 57841.2 |
337 | 2025-06-15 15:15:33 | unlearn | 1 | 69583 | 3 | 1.266 | 54962.9 |
336 | 2025-06-15 08:52:52 | unlearn | 3 | 134027 | 142 | 6.910 | 19396.1 |
335 | 2025-06-13 15:43:25 | unlearn | 3 | 134027 | 142 | 6.766 | 19808.9 |
334 | 2025-06-12 06:12:41 | unlearn | 1 | 69583 | 3 | 4.250 | 16372.5 |
333 | 2025-06-11 03:08:37 | unlearn | 2 | 107671 | 16 | 8.266 | 13025.8 |
332 | 2025-06-06 06:41:20 | unlearn | 1 | 69583 | 3 | 8.266 | 8418.0 |
331 | 2025-06-03 14:59:29 | unlearn | 1 | 69583 | 3 | 1.893 | 36758.1 |
330 | 2025-06-03 14:31:50 | unlearn | 1 | 69583 | 3 | 5.733 | 12137.3 |
329 | 2025-05-31 21:43:14 | unlearn | 2 | 107671 | 16 | 15.860 | 6788.8 |
328 | 2025-05-28 14:06:33 | unlearn | 1 | 69583 | 3 | 1.250 | 55666.4 |
327 | 2025-05-28 04:56:20 | unlearn | 2 | 107671 | 16 | 3.266 | 32967.2 |
326 | 2025-05-27 12:14:27 | unlearn | 1 | 69583 | 3 | 2.796 | 24886.6 |
325 | 2025-05-26 20:14:23 | unlearn | 3 | 134027 | 142 | 48.343 | 2772.4 |
324 | 2025-05-24 14:15:37 | unlearn | 3 | 134027 | 142 | 34.440 | 3891.6 |
323 | 2025-05-18 20:27:21 | unlearn | 2 | 107671 | 16 | 3.296 | 32667.2 |
322 | 2025-05-16 05:35:08 | unlearn | 2 | 107671 | 16 | 10.406 | 10347.0 |
321 | 2025-05-15 16:39:43 | unlearn | 3 | 134027 | 142 | 26.283 | 5099.4 |
320 | 2025-05-15 14:44:13 | unlearn | 1 | 69583 | 3 | 2.483 | 28023.8 |
319 | 2025-05-15 08:58:13 | unlearn | 3 | 134027 | 142 | 6.420 | 20876.5 |
318 | 2025-05-14 04:13:05 | unlearn | 3 | 134027 | 142 | 32.600 | 4111.3 |
317 | 2025-05-13 09:29:20 | unlearn | 2 | 107671 | 16 | 9.923 | 10850.7 |
316 | 2025-05-13 02:19:11 | unlearn | 3 | 134027 | 142 | 41.586 | 3222.9 |
315 | 2025-05-11 17:02:23 | unlearn | 1 | 69583 | 3 | 1.263 | 55093.4 |
314 | 2025-05-11 13:08:14 | unlearn | 3 | 134027 | 142 | 7.453 | 17983.0 |
313 | 2025-05-08 11:24:45 | unlearn | 1 | 69583 | 3 | 4.500 | 15462.9 |
312 | 2025-05-04 09:35:16 | unlearn | 1 | 69583 | 3 | 3.330 | 20895.8 |
311 | 2025-05-02 14:56:39 | unlearn | 1 | 69583 | 3 | 8.716 | 7983.4 |
310 | 2025-04-24 14:45:47 | unlearn | 2 | 107671 | 16 | 25.516 | 4219.7 |
309 | 2025-04-22 16:05:32 | unlearn | 3 | 134027 | 142 | 6.706 | 19986.1 |
308 | 2025-04-22 06:08:20 | unlearn | 3 | 134027 | 142 | 6.703 | 19995.1 |
307 | 2025-04-21 12:21:20 | unlearn | 2 | 107671 | 16 | 8.466 | 12718.0 |
306 | 2025-04-20 21:41:36 | unlearn | 3 | 134027 | 142 | 34.986 | 3830.9 |
305 | 2025-04-20 14:20:02 | unlearn | 1 | 69583 | 3 | 7.016 | 9917.8 |
304 | 2025-04-18 21:20:24 | unlearn | 1 | 69583 | 3 | 3.236 | 21502.8 |
303 | 2025-04-18 20:12:37 | unlearn | 1 | 69583 | 3 | 3.203 | 21724.3 |
302 | 2025-04-09 19:52:41 | unlearn | 1 | 69583 | 3 | 5.783 | 12032.3 |
301 | 2025-04-09 15:16:36 | unlearn | 3 | 134027 | 142 | 30.923 | 4334.2 |
300 | 2025-04-08 08:47:12 | unlearn | 3 | 134027 | 142 | 29.363 | 4564.5 |
299 | 2025-04-08 01:57:49 | unlearn | 3 | 134027 | 142 | 30.470 | 4398.7 |
298 | 2025-04-06 16:05:14 | unlearn | 1 | 69583 | 3 | 5.453 | 12760.5 |
297 | 2025-04-06 12:46:41 | unlearn | 2 | 107671 | 16 | 12.393 | 8688.0 |
296 | 2025-04-06 03:02:32 | unlearn | 3 | 134027 | 142 | 34.770 | 3854.7 |