History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nontarget"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
398 | 2025-08-26 05:33:29 | nontarget | 3 | 148641 | 22 | 6.796 | 21871.8 |
397 | 2025-08-23 12:27:00 | nontarget | 3 | 148641 | 22 | 40.783 | 3644.7 |
396 | 2025-08-22 00:11:14 | nontarget | 3 | 148641 | 22 | 7.686 | 19339.2 |
395 | 2025-08-21 13:02:57 | nontarget | 3 | 148641 | 22 | 35.330 | 4207.2 |
394 | 2025-08-21 05:32:51 | nontarget | 3 | 148641 | 22 | 17.940 | 8285.5 |
393 | 2025-08-20 21:46:07 | nontarget | 3 | 148641 | 22 | 29.986 | 4957.0 |
392 | 2025-08-20 16:52:46 | nontarget | 3 | 148641 | 22 | 7.190 | 20673.3 |
391 | 2025-08-20 10:48:00 | nontarget | 3 | 148641 | 22 | 7.580 | 19609.6 |
390 | 2025-08-20 05:00:26 | nontarget | 3 | 148641 | 22 | 6.983 | 21286.1 |
389 | 2025-08-19 17:27:11 | nontarget | 3 | 148641 | 22 | 18.280 | 8131.3 |
388 | 2025-08-19 04:03:23 | nontarget | 3 | 148641 | 22 | 20.783 | 7152.0 |
387 | 2025-08-18 15:49:30 | nontarget | 3 | 148641 | 22 | 7.593 | 19576.1 |
386 | 2025-08-18 08:47:40 | nontarget | 3 | 148641 | 22 | 6.360 | 23371.2 |
385 | 2025-08-18 01:52:29 | nontarget | 3 | 148641 | 22 | 9.000 | 16515.7 |
384 | 2025-08-16 04:07:47 | nontarget | 3 | 148641 | 22 | 7.296 | 20372.9 |
383 | 2025-08-16 02:37:47 | nontarget | 2 | 121436 | 2 | 3.796 | 31990.5 |
382 | 2025-08-14 12:12:32 | nontarget | 1 | 81242 | 1 | 1.453 | 55913.3 |
381 | 2025-08-11 02:12:03 | nontarget | 1 | 81242 | 1 | 3.093 | 26266.4 |
380 | 2025-08-04 06:09:11 | nontarget | 1 | 81242 | 1 | 4.860 | 16716.5 |
379 | 2025-08-01 15:09:37 | nontarget | 1 | 81242 | 1 | 3.263 | 24897.9 |
378 | 2025-07-31 16:54:23 | nontarget | 1 | 81242 | 1 | 2.736 | 29693.7 |
377 | 2025-07-27 06:31:23 | nontarget | 1 | 81242 | 1 | 3.310 | 24544.4 |
376 | 2025-07-25 02:32:55 | nontarget | 1 | 81242 | 1 | 7.203 | 11278.9 |
375 | 2025-07-24 05:56:01 | nontarget | 1 | 81242 | 1 | 3.453 | 23527.9 |
374 | 2025-07-19 13:20:04 | nontarget | 1 | 81242 | 1 | 1.360 | 59736.8 |
373 | 2025-07-19 06:46:01 | nontarget | 1 | 81242 | 1 | 1.376 | 59042.2 |
372 | 2025-07-17 15:20:37 | nontarget | 1 | 81242 | 1 | 3.703 | 21939.5 |
371 | 2025-07-15 19:00:37 | nontarget | 1 | 81242 | 1 | 1.403 | 57905.9 |
370 | 2025-07-05 23:23:23 | nontarget | 1 | 81242 | 1 | 2.343 | 34674.3 |
369 | 2025-06-30 14:18:55 | nontarget | 1 | 81242 | 1 | 3.843 | 21140.3 |
368 | 2025-06-29 19:48:02 | nontarget | 1 | 81242 | 1 | 8.923 | 9104.8 |
367 | 2025-06-24 11:41:32 | nontarget | 1 | 81242 | 1 | 7.206 | 11274.2 |
366 | 2025-06-24 02:26:56 | nontarget | 1 | 81242 | 1 | 5.860 | 13863.8 |
365 | 2025-06-18 05:54:33 | nontarget | 1 | 81242 | 1 | 4.940 | 16445.7 |
364 | 2025-06-15 11:50:39 | nontarget | 1 | 81242 | 1 | 1.313 | 61875.1 |
363 | 2025-06-14 21:34:16 | nontarget | 1 | 81242 | 1 | 3.360 | 24179.2 |
362 | 2025-05-16 08:38:32 | nontarget | 3 | 148641 | 22 | 29.966 | 4960.3 |
361 | 2025-05-14 15:43:09 | nontarget | 2 | 121436 | 2 | 16.123 | 7531.8 |
360 | 2025-05-13 23:19:17 | nontarget | 3 | 148641 | 22 | 37.626 | 3950.5 |
359 | 2025-05-13 20:56:50 | nontarget | 1 | 81242 | 1 | 3.360 | 24179.2 |
358 | 2025-05-13 05:26:35 | nontarget | 1 | 81242 | 1 | 1.423 | 57092.1 |
357 | 2025-05-06 07:40:39 | nontarget | 1 | 81242 | 1 | 8.173 | 9940.3 |
356 | 2025-05-04 07:52:37 | nontarget | 1 | 81242 | 1 | 7.873 | 10319.1 |
355 | 2025-04-11 06:28:17 | nontarget | 4 | 165329 | 209 | 47.816 | 3457.6 |
354 | 2025-04-04 20:18:54 | nontarget | 4 | 165329 | 209 | 49.330 | 3351.5 |
353 | 2025-04-02 12:10:19 | nontarget | 1 | 81242 | 1 | 3.190 | 25467.7 |
352 | 2025-04-01 21:27:58 | nontarget | 4 | 165329 | 209 | 44.926 | 3680.0 |
351 | 2025-04-01 20:53:32 | nontarget | 2 | 121436 | 2 | 26.296 | 4618.0 |
350 | 2025-04-01 04:07:26 | nontarget | 3 | 148641 | 22 | 7.563 | 19653.7 |
349 | 2025-03-29 09:05:26 | nontarget | 3 | 148641 | 22 | 30.983 | 4797.5 |
348 | 2025-03-29 04:44:59 | nontarget | 2 | 121436 | 2 | 10.843 | 11199.5 |
347 | 2025-03-28 09:16:04 | nontarget | 1 | 81242 | 1 | 1.420 | 57212.7 |
346 | 2025-03-25 02:55:59 | nontarget | 1 | 81242 | 1 | 6.546 | 12410.9 |
345 | 2025-03-01 14:43:35 | nontarget | 3 | 148641 | 22 | 35.580 | 4177.7 |
344 | 2025-03-01 14:41:49 | nontarget | 1 | 81242 | 1 | 6.390 | 12713.9 |
343 | 2025-02-28 20:25:55 | nontarget | 3 | 148641 | 22 | 31.266 | 4754.1 |
342 | 2025-02-25 11:24:42 | nontarget | 1 | 81242 | 1 | 1.250 | 64993.6 |
341 | 2025-02-16 23:35:21 | nontarget | 3 | 148641 | 22 | 31.283 | 4751.5 |
340 | 2025-02-15 18:29:49 | nontarget | 3 | 148641 | 22 | 36.250 | 4100.4 |
339 | 2025-02-15 17:51:37 | nontarget | 3 | 148641 | 22 | 38.876 | 3823.5 |
338 | 2025-02-07 13:15:40 | nontarget | 3 | 148641 | 22 | 40.516 | 3668.7 |
337 | 2025-02-07 13:15:38 | nontarget | 2 | 121436 | 2 | 15.533 | 7817.9 |
336 | 2025-02-07 11:36:42 | nontarget | 1 | 81242 | 1 | 1.403 | 57905.9 |
335 | 2025-02-06 15:17:40 | nontarget | 4 | 165329 | 209 | 72.613 | 2276.9 |
334 | 2025-02-06 09:06:47 | nontarget | 4 | 165329 | 209 | 12.173 | 13581.6 |
333 | 2025-01-28 06:11:44 | nontarget | 3 | 148641 | 22 | 17.796 | 8352.5 |
332 | 2025-01-28 06:11:33 | nontarget | 1 | 81242 | 1 | 3.406 | 23852.6 |
331 | 2025-01-23 05:53:20 | nontarget | 1 | 81242 | 1 | 9.970 | 8148.6 |
330 | 2025-01-16 13:27:51 | nontarget | 4 | 165329 | 209 | 74.496 | 2219.3 |
329 | 2025-01-15 20:57:03 | nontarget | 4 | 165329 | 209 | 46.033 | 3591.5 |
328 | 2025-01-15 06:21:38 | nontarget | 4 | 165329 | 209 | 75.393 | 2192.9 |
327 | 2025-01-15 06:21:38 | nontarget | 2 | 121436 | 2 | 17.983 | 6752.8 |
326 | 2025-01-15 06:20:08 | nontarget | 1 | 81242 | 1 | 3.220 | 25230.4 |
325 | 2025-01-11 10:40:41 | nontarget | 2 | 121436 | 2 | 30.000 | 4047.9 |
324 | 2025-01-11 10:40:46 | nontarget | 3 | 148641 | 22 | 18.986 | 7829.0 |
323 | 2025-01-05 07:56:03 | nontarget | 3 | 148641 | 22 | 35.956 | 4134.0 |
322 | 2025-01-03 23:42:37 | nontarget | 3 | 148641 | 22 | 35.000 | 4246.9 |
321 | 2025-01-03 23:42:43 | nontarget | 2 | 121436 | 2 | 18.046 | 6729.2 |
320 | 2025-01-03 23:42:21 | nontarget | 3 | 148641 | 22 | 28.093 | 5291.0 |
319 | 2025-01-03 23:41:20 | nontarget | 1 | 81242 | 1 | 3.796 | 21402.0 |
318 | 2024-12-28 23:14:11 | nontarget | 1 | 81242 | 1 | 9.643 | 8425.0 |
317 | 2024-12-19 23:16:22 | nontarget | 1 | 81242 | 1 | 7.453 | 10900.6 |
316 | 2024-12-11 14:37:15 | nontarget | 3 | 148641 | 22 | 37.736 | 3939.0 |
315 | 2024-12-11 14:37:08 | nontarget | 2 | 121436 | 2 | 16.876 | 7195.8 |
314 | 2024-12-01 12:15:08 | nontarget | 3 | 148641 | 22 | 49.660 | 2993.2 |
313 | 2024-12-01 12:15:29 | nontarget | 2 | 121436 | 2 | 17.156 | 7078.3 |
312 | 2024-12-01 12:14:44 | nontarget | 3 | 148641 | 22 | 28.986 | 5128.0 |
311 | 2024-12-01 12:14:32 | nontarget | 1 | 81242 | 1 | 3.016 | 26937.0 |
310 | 2024-11-27 23:04:47 | nontarget | 1 | 81242 | 1 | 7.550 | 10760.5 |
309 | 2024-11-20 08:31:24 | nontarget | 1 | 81242 | 1 | 6.826 | 11901.8 |
308 | 2024-10-26 11:38:36 | nontarget | 2 | 121436 | 2 | 16.483 | 7367.3 |
307 | 2024-10-26 11:38:00 | nontarget | 1 | 81242 | 1 | 6.313 | 12869.0 |
306 | 2024-10-26 01:50:17 | nontarget | 3 | 148641 | 22 | 34.813 | 4269.7 |
305 | 2024-10-26 01:50:22 | nontarget | 2 | 121436 | 2 | 17.560 | 6915.5 |
304 | 2024-10-24 23:08:35 | nontarget | 3 | 148641 | 22 | 37.483 | 3965.6 |
303 | 2024-10-24 17:02:49 | nontarget | 3 | 148641 | 22 | 25.686 | 5786.8 |
302 | 2024-10-22 01:23:52 | nontarget | 1 | 81242 | 1 | 6.986 | 11629.3 |
301 | 2024-10-21 03:09:53 | nontarget | 1 | 81242 | 1 | 5.186 | 15665.6 |
300 | 2024-10-16 16:09:10 | nontarget | 3 | 148641 | 22 | 31.830 | 4669.8 |
299 | 2024-10-13 01:51:55 | nontarget | 3 | 148641 | 22 | 36.626 | 4058.3 |