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 |
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 |
295 | 2025-04-05 14:46:56 | unlearn | 1 | 69583 | 3 | 5.390 | 12909.6 |
294 | 2025-03-30 00:12:25 | unlearn | 1 | 69583 | 3 | 2.063 | 33729.0 |
293 | 2025-03-28 12:25:20 | unlearn | 2 | 107671 | 16 | 3.156 | 34116.3 |
292 | 2025-03-21 18:50:25 | unlearn | 3 | 134027 | 142 | 37.063 | 3616.2 |
291 | 2025-03-19 01:07:18 | unlearn | 3 | 134027 | 142 | 6.063 | 22105.7 |
290 | 2025-03-19 00:00:46 | unlearn | 3 | 134027 | 142 | 6.593 | 20328.7 |
289 | 2025-03-17 20:56:46 | unlearn | 1 | 69583 | 3 | 2.656 | 26198.4 |
288 | 2025-03-12 06:20:25 | unlearn | 1 | 69583 | 3 | 4.140 | 16807.5 |
287 | 2025-03-09 21:14:11 | unlearn | 1 | 69583 | 3 | 4.000 | 17395.8 |
286 | 2025-03-05 13:44:08 | unlearn | 1 | 69583 | 3 | 4.923 | 14134.3 |
285 | 2025-03-04 08:24:15 | unlearn | 3 | 134027 | 142 | 25.283 | 5301.1 |
284 | 2025-03-03 15:11:00 | unlearn | 1 | 69583 | 3 | 5.376 | 12943.3 |
283 | 2025-03-03 10:05:32 | unlearn | 3 | 134027 | 142 | 32.376 | 4139.7 |
282 | 2025-02-28 00:58:45 | unlearn | 2 | 107671 | 16 | 16.560 | 6501.9 |
281 | 2025-02-27 23:52:21 | unlearn | 2 | 107671 | 16 | 12.513 | 8604.7 |
280 | 2025-02-27 23:52:01 | unlearn | 3 | 134027 | 142 | 25.860 | 5182.8 |
279 | 2025-02-27 20:34:44 | unlearn | 3 | 134027 | 142 | 26.536 | 5050.8 |
278 | 2025-02-27 18:55:26 | unlearn | 3 | 134027 | 142 | 37.470 | 3576.9 |
277 | 2025-02-27 18:55:24 | unlearn | 2 | 107671 | 16 | 15.923 | 6762.0 |
276 | 2025-02-27 18:54:55 | unlearn | 1 | 69583 | 3 | 1.190 | 58473.1 |
275 | 2025-02-08 03:35:43 | unlearn | 1 | 69583 | 3 | 8.640 | 8053.6 |
274 | 2025-01-28 07:10:35 | unlearn | 1 | 69583 | 3 | 2.703 | 25742.9 |
273 | 2024-12-26 18:16:35 | unlearn | 1 | 69583 | 3 | 1.186 | 58670.3 |
272 | 2024-12-23 09:50:55 | unlearn | 1 | 69583 | 3 | 3.423 | 20328.1 |
271 | 2024-11-28 03:40:18 | unlearn | 1 | 69583 | 3 | 5.836 | 11923.1 |
270 | 2024-11-27 03:23:53 | unlearn | 2 | 107671 | 16 | 10.826 | 9945.6 |
269 | 2024-11-25 14:45:59 | unlearn | 3 | 134027 | 142 | 41.643 | 3218.5 |
268 | 2024-11-25 14:46:03 | unlearn | 2 | 107671 | 16 | 27.843 | 3867.1 |
267 | 2024-11-22 11:11:47 | unlearn | 2 | 107671 | 16 | 3.330 | 32333.6 |
266 | 2024-11-22 11:01:08 | unlearn | 3 | 134027 | 142 | 31.816 | 4212.6 |
265 | 2024-11-20 20:27:24 | unlearn | 3 | 134027 | 142 | 42.860 | 3127.1 |
264 | 2024-11-20 20:27:33 | unlearn | 2 | 107671 | 16 | 16.330 | 6593.4 |
263 | 2024-11-20 20:27:23 | unlearn | 1 | 69583 | 3 | 8.703 | 7995.3 |
262 | 2024-11-16 15:03:22 | unlearn | 1 | 69583 | 3 | 6.076 | 11452.1 |
261 | 2024-10-28 19:02:01 | unlearn | 1 | 69583 | 3 | 5.750 | 12101.4 |
260 | 2024-10-15 19:18:51 | unlearn | 1 | 69583 | 3 | 1.796 | 38743.3 |
259 | 2024-10-15 19:17:59 | unlearn | 2 | 107671 | 16 | 14.953 | 7200.6 |