History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coadapted"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
384 | 2025-08-28 18:36:19 | coadapted | 3 | 148641 | 37 | 7.296 | 20372.9 |
383 | 2025-08-28 09:54:00 | coadapted | 2 | 121436 | 5 | 3.750 | 32382.9 |
382 | 2025-08-28 09:09:55 | coadapted | 1 | 81242 | 1 | 1.453 | 55913.3 |
381 | 2025-08-27 18:49:37 | coadapted | 4 | 165329 | 363 | 19.940 | 8291.3 |
380 | 2025-08-27 04:43:34 | coadapted | 4 | 165329 | 363 | 12.470 | 13258.1 |
379 | 2025-08-27 01:49:00 | coadapted | 1 | 81242 | 1 | 1.516 | 53589.7 |
378 | 2025-08-26 07:23:59 | coadapted | 4 | 165329 | 363 | 59.423 | 2782.2 |
377 | 2025-08-25 02:02:04 | coadapted | 4 | 165329 | 363 | 104.896 | 1576.1 |
376 | 2025-08-23 06:45:20 | coadapted | 4 | 165329 | 363 | 50.440 | 3277.7 |
375 | 2025-08-22 15:07:58 | coadapted | 1 | 81242 | 1 | 1.343 | 60492.9 |
374 | 2025-08-19 07:13:36 | coadapted | 3 | 148641 | 37 | 16.530 | 8992.2 |
373 | 2025-08-18 14:03:57 | coadapted | 1 | 81242 | 1 | 1.436 | 56575.2 |
372 | 2025-08-15 03:25:30 | coadapted | 3 | 148641 | 37 | 41.413 | 3589.2 |
371 | 2025-08-13 08:50:39 | coadapted | 3 | 148641 | 37 | 36.783 | 4041.0 |
370 | 2025-08-05 04:59:58 | coadapted | 1 | 81242 | 1 | 3.280 | 24768.9 |
369 | 2025-07-09 13:36:16 | coadapted | 1 | 81242 | 1 | 10.796 | 7525.2 |
368 | 2025-06-25 02:59:09 | coadapted | 3 | 148641 | 37 | 36.690 | 4051.3 |
367 | 2025-06-22 20:42:23 | coadapted | 1 | 81242 | 1 | 1.326 | 61268.5 |
366 | 2025-06-19 04:10:50 | coadapted | 1 | 81242 | 1 | 1.266 | 64172.2 |
365 | 2025-06-18 23:35:58 | coadapted | 3 | 148641 | 37 | 36.863 | 4032.3 |
364 | 2025-06-17 16:42:00 | coadapted | 3 | 148641 | 37 | 7.673 | 19372.0 |
363 | 2025-06-16 13:43:06 | coadapted | 1 | 81242 | 1 | 6.280 | 12936.6 |
362 | 2025-06-16 07:00:53 | coadapted | 1 | 81242 | 1 | 5.483 | 14817.1 |
361 | 2025-06-14 09:58:10 | coadapted | 1 | 81242 | 1 | 8.610 | 9435.8 |
360 | 2025-06-10 03:44:29 | coadapted | 3 | 148641 | 37 | 25.686 | 5786.8 |
359 | 2025-06-08 13:45:00 | coadapted | 1 | 81242 | 1 | 7.250 | 11205.8 |
358 | 2025-06-08 06:31:37 | coadapted | 3 | 148641 | 37 | 31.686 | 4691.1 |
357 | 2025-06-04 14:20:49 | coadapted | 3 | 148641 | 37 | 38.626 | 3848.2 |
356 | 2025-06-02 12:08:06 | coadapted | 3 | 148641 | 37 | 33.063 | 4495.7 |
355 | 2025-06-02 10:37:51 | coadapted | 2 | 121436 | 5 | 18.516 | 6558.4 |
354 | 2025-06-01 07:15:35 | coadapted | 4 | 165329 | 363 | 42.643 | 3877.0 |
353 | 2025-06-01 02:01:40 | coadapted | 1 | 81242 | 1 | 7.330 | 11083.5 |
352 | 2025-05-30 14:52:06 | coadapted | 4 | 165329 | 363 | 59.766 | 2766.3 |
351 | 2025-05-26 04:21:10 | coadapted | 1 | 81242 | 1 | 10.376 | 7829.8 |
350 | 2025-05-22 16:27:49 | coadapted | 4 | 165329 | 363 | 64.693 | 2555.6 |
349 | 2025-05-20 06:56:57 | coadapted | 4 | 165329 | 363 | 83.473 | 1980.6 |
348 | 2025-05-16 21:01:55 | coadapted | 1 | 81242 | 1 | 5.716 | 14213.1 |
347 | 2025-05-15 08:29:12 | coadapted | 4 | 165329 | 363 | 18.436 | 8967.7 |
346 | 2025-05-15 01:11:14 | coadapted | 1 | 81242 | 1 | 1.500 | 54161.3 |
345 | 2025-05-14 10:30:42 | coadapted | 2 | 121436 | 5 | 18.360 | 6614.2 |
344 | 2025-05-13 12:57:26 | coadapted | 1 | 81242 | 1 | 3.670 | 22136.8 |
343 | 2025-05-05 02:18:24 | coadapted | 4 | 165329 | 363 | 29.830 | 5542.4 |
342 | 2025-05-02 17:08:11 | coadapted | 4 | 165329 | 363 | 38.846 | 4256.0 |
341 | 2025-05-02 06:50:57 | coadapted | 4 | 165329 | 363 | 47.660 | 3468.9 |
340 | 2025-05-01 15:29:15 | coadapted | 4 | 165329 | 363 | 66.660 | 2480.2 |
339 | 2025-04-30 18:11:51 | coadapted | 2 | 121436 | 5 | 3.890 | 31217.5 |
338 | 2025-04-28 14:58:49 | coadapted | 4 | 165329 | 363 | 43.580 | 3793.7 |
337 | 2025-04-26 05:08:36 | coadapted | 4 | 165329 | 363 | 67.956 | 2432.9 |
336 | 2025-04-25 01:42:08 | coadapted | 1 | 81242 | 1 | 6.703 | 12120.2 |
335 | 2025-04-21 01:04:10 | coadapted | 2 | 121436 | 5 | 16.893 | 7188.5 |
334 | 2025-04-20 08:36:45 | coadapted | 1 | 81242 | 1 | 3.266 | 24875.1 |
333 | 2025-04-20 07:29:36 | coadapted | 3 | 148641 | 37 | 7.753 | 19172.1 |
332 | 2025-04-18 06:16:22 | coadapted | 1 | 81242 | 1 | 7.593 | 10699.6 |
331 | 2025-03-27 07:35:24 | coadapted | 3 | 148641 | 37 | 48.940 | 3037.2 |
330 | 2025-03-25 14:49:40 | coadapted | 2 | 121436 | 5 | 19.503 | 6226.5 |
329 | 2025-03-25 02:49:00 | coadapted | 1 | 81242 | 1 | 7.296 | 11135.1 |
328 | 2025-03-25 00:39:15 | coadapted | 3 | 148641 | 37 | 37.986 | 3913.0 |
327 | 2025-03-24 15:16:37 | coadapted | 1 | 81242 | 1 | 2.266 | 35852.6 |
326 | 2025-03-24 14:50:44 | coadapted | 3 | 148641 | 37 | 18.280 | 8131.3 |
325 | 2025-03-20 10:56:21 | coadapted | 1 | 81242 | 1 | 7.236 | 11227.5 |
324 | 2025-03-18 11:11:58 | coadapted | 4 | 165329 | 363 | 80.096 | 2064.1 |
323 | 2025-03-17 20:30:18 | coadapted | 4 | 165329 | 363 | 61.253 | 2699.1 |
322 | 2025-03-16 04:38:17 | coadapted | 4 | 165329 | 363 | 57.173 | 2891.7 |
321 | 2025-03-16 02:30:25 | coadapted | 4 | 165329 | 363 | 80.113 | 2063.7 |
320 | 2025-03-16 02:05:39 | coadapted | 4 | 165329 | 363 | 59.083 | 2798.2 |
319 | 2025-03-15 16:18:17 | coadapted | 4 | 165329 | 363 | 80.660 | 2049.7 |
318 | 2025-03-15 16:18:15 | coadapted | 3 | 148641 | 37 | 23.860 | 6229.7 |
317 | 2025-03-15 16:18:06 | coadapted | 2 | 121436 | 5 | 17.750 | 6841.5 |
316 | 2025-03-15 16:15:32 | coadapted | 1 | 81242 | 1 | 5.906 | 13755.8 |
315 | 2025-03-04 16:25:31 | coadapted | 1 | 81242 | 1 | 6.813 | 11924.6 |
314 | 2025-02-19 12:11:26 | coadapted | 1 | 81242 | 1 | 3.846 | 21123.8 |
313 | 2025-01-15 03:23:12 | coadapted | 1 | 81242 | 1 | 1.266 | 64172.2 |
312 | 2025-01-13 10:06:37 | coadapted | 3 | 148641 | 37 | 18.376 | 8088.9 |
311 | 2025-01-13 10:06:30 | coadapted | 2 | 121436 | 5 | 17.500 | 6939.2 |
310 | 2025-01-12 22:49:26 | coadapted | 1 | 81242 | 1 | 10.486 | 7747.7 |
309 | 2025-01-12 14:09:53 | coadapted | 3 | 148641 | 37 | 37.766 | 3935.8 |
308 | 2025-01-11 18:17:16 | coadapted | 3 | 148641 | 37 | 37.466 | 3967.4 |
307 | 2025-01-11 05:45:33 | coadapted | 3 | 148641 | 37 | 30.190 | 4923.5 |
306 | 2025-01-11 05:45:37 | coadapted | 2 | 121436 | 5 | 18.346 | 6619.2 |
305 | 2025-01-11 05:45:36 | coadapted | 3 | 148641 | 37 | 19.110 | 7778.2 |
304 | 2025-01-11 05:43:51 | coadapted | 1 | 81242 | 1 | 2.673 | 30393.6 |
303 | 2025-01-01 18:24:38 | coadapted | 1 | 81242 | 1 | 7.406 | 10969.8 |
302 | 2024-12-07 04:18:31 | coadapted | 1 | 81242 | 1 | 7.796 | 10421.0 |
301 | 2024-11-27 11:00:25 | coadapted | 3 | 148641 | 37 | 41.330 | 3596.4 |
300 | 2024-11-25 16:48:58 | coadapted | 3 | 148641 | 37 | 40.453 | 3674.4 |
299 | 2024-11-20 11:59:37 | coadapted | 3 | 148641 | 37 | 47.613 | 3121.9 |
298 | 2024-11-18 03:18:43 | coadapted | 1 | 81242 | 1 | 3.843 | 21140.3 |
297 | 2024-11-12 11:52:16 | coadapted | 3 | 148641 | 37 | 48.266 | 3079.6 |
296 | 2024-11-11 20:33:26 | coadapted | 3 | 148641 | 37 | 34.736 | 4279.2 |
295 | 2024-11-11 20:33:36 | coadapted | 2 | 121436 | 5 | 18.970 | 6401.5 |
294 | 2024-11-08 20:36:08 | coadapted | 1 | 81242 | 1 | 5.563 | 14604.0 |
293 | 2024-11-03 09:16:31 | coadapted | 1 | 81242 | 1 | 6.970 | 11656.0 |
292 | 2024-10-30 16:33:04 | coadapted | 1 | 81242 | 1 | 9.530 | 8524.9 |
291 | 2024-10-28 01:16:28 | coadapted | 3 | 148641 | 37 | 45.660 | 3255.4 |
290 | 2024-10-14 23:20:25 | coadapted | 3 | 148641 | 37 | 59.063 | 2516.7 |
289 | 2024-10-13 03:35:06 | coadapted | 3 | 148641 | 37 | 31.736 | 4683.7 |
288 | 2024-10-12 23:16:25 | coadapted | 3 | 148641 | 37 | 38.033 | 3908.2 |
287 | 2024-10-12 23:16:03 | coadapted | 3 | 148641 | 37 | 49.283 | 3016.1 |
286 | 2024-10-12 23:15:40 | coadapted | 1 | 81242 | 1 | 5.186 | 15665.6 |
285 | 2024-10-03 13:33:27 | coadapted | 1 | 81242 | 1 | 5.596 | 14517.9 |