History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"thinnest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
387 | 2025-08-07 00:58:49 | thinnest | 2 | 121059 | 15 | 7.656 | 15812.3 |
386 | 2025-08-06 11:04:20 | thinnest | 3 | 146162 | 130 | 14.970 | 9763.7 |
385 | 2025-08-04 09:53:51 | thinnest | 1 | 82945 | 2 | 2.860 | 29001.7 |
384 | 2025-08-02 17:11:28 | thinnest | 2 | 121059 | 15 | 14.470 | 8366.2 |
383 | 2025-07-30 13:42:21 | thinnest | 2 | 121059 | 15 | 12.423 | 9744.7 |
382 | 2025-07-25 17:23:49 | thinnest | 1 | 82945 | 2 | 2.953 | 28088.4 |
381 | 2025-07-24 05:42:42 | thinnest | 1 | 82945 | 2 | 6.736 | 12313.7 |
380 | 2025-07-22 13:48:10 | thinnest | 1 | 82945 | 2 | 6.280 | 13207.8 |
379 | 2025-07-21 08:43:21 | thinnest | 1 | 82945 | 2 | 1.470 | 56425.2 |
378 | 2025-07-17 05:39:39 | thinnest | 2 | 121059 | 15 | 7.923 | 15279.4 |
377 | 2025-07-15 13:20:57 | thinnest | 1 | 82945 | 2 | 6.310 | 13145.0 |
376 | 2025-07-12 16:00:36 | thinnest | 3 | 146162 | 130 | 7.903 | 18494.5 |
375 | 2025-07-12 15:25:29 | thinnest | 2 | 121059 | 15 | 7.016 | 17254.7 |
374 | 2025-07-08 10:23:50 | thinnest | 2 | 121059 | 15 | 12.126 | 9983.4 |
373 | 2025-07-08 10:17:38 | thinnest | 3 | 146162 | 130 | 37.753 | 3871.5 |
372 | 2025-07-07 22:59:49 | thinnest | 1 | 82945 | 2 | 3.190 | 26001.6 |
371 | 2025-07-06 20:25:11 | thinnest | 1 | 82945 | 2 | 3.313 | 25036.2 |
370 | 2025-07-05 05:59:01 | thinnest | 1 | 82945 | 2 | 8.906 | 9313.4 |
369 | 2025-07-01 10:44:47 | thinnest | 1 | 82945 | 2 | 1.423 | 58288.8 |
368 | 2025-07-01 00:04:00 | thinnest | 1 | 82945 | 2 | 1.470 | 56425.2 |
367 | 2025-06-30 02:34:24 | thinnest | 1 | 82945 | 2 | 8.390 | 9886.2 |
366 | 2025-06-29 22:26:18 | thinnest | 1 | 82945 | 2 | 7.216 | 11494.6 |
365 | 2025-06-24 10:01:51 | thinnest | 1 | 82945 | 2 | 3.266 | 25396.5 |
364 | 2025-06-20 04:25:28 | thinnest | 1 | 82945 | 2 | 6.033 | 13748.5 |
363 | 2025-06-11 21:34:05 | thinnest | 1 | 82945 | 2 | 3.436 | 24140.0 |
362 | 2025-06-03 20:45:14 | thinnest | 1 | 82945 | 2 | 3.593 | 23085.2 |
361 | 2025-06-03 00:49:42 | thinnest | 3 | 146162 | 130 | 33.190 | 4403.8 |
360 | 2025-06-02 23:39:11 | thinnest | 2 | 121059 | 15 | 13.126 | 9222.8 |
359 | 2025-05-31 19:11:36 | thinnest | 2 | 121059 | 15 | 23.593 | 5131.1 |
358 | 2025-05-30 19:37:02 | thinnest | 3 | 146162 | 130 | 7.376 | 19815.9 |
357 | 2025-05-25 10:19:53 | thinnest | 3 | 146162 | 130 | 14.220 | 10278.6 |
356 | 2025-05-24 04:53:43 | thinnest | 1 | 82945 | 2 | 4.016 | 20653.6 |
355 | 2025-05-22 02:00:27 | thinnest | 3 | 146162 | 130 | 40.520 | 3607.2 |
354 | 2025-05-21 09:40:59 | thinnest | 1 | 82945 | 2 | 2.516 | 32967.0 |
353 | 2025-05-20 00:26:00 | thinnest | 3 | 146162 | 130 | 30.630 | 4771.9 |
352 | 2025-05-19 23:43:05 | thinnest | 1 | 82945 | 2 | 9.936 | 8347.9 |
351 | 2025-05-19 09:52:52 | thinnest | 1 | 82945 | 2 | 1.250 | 66356.0 |
350 | 2025-05-18 01:27:20 | thinnest | 2 | 121059 | 15 | 12.266 | 9869.5 |
349 | 2025-05-13 17:56:37 | thinnest | 1 | 82945 | 2 | 4.140 | 20035.0 |
348 | 2025-05-13 02:21:14 | thinnest | 3 | 146162 | 130 | 40.926 | 3571.4 |
347 | 2025-05-11 07:06:16 | thinnest | 1 | 82945 | 2 | 1.420 | 58412.0 |
346 | 2025-05-03 21:59:47 | thinnest | 1 | 82945 | 2 | 5.280 | 15709.3 |
345 | 2025-04-23 03:53:47 | thinnest | 1 | 82945 | 2 | 6.436 | 12887.7 |
344 | 2025-04-23 00:52:46 | thinnest | 3 | 146162 | 130 | 35.173 | 4155.5 |
343 | 2025-04-21 05:02:33 | thinnest | 3 | 146162 | 130 | 30.966 | 4720.1 |
342 | 2025-04-19 22:36:46 | thinnest | 1 | 82945 | 2 | 7.016 | 11822.3 |
341 | 2025-04-18 20:33:41 | thinnest | 3 | 146162 | 130 | 19.080 | 7660.5 |
340 | 2025-04-18 10:13:29 | thinnest | 1 | 82945 | 2 | 3.643 | 22768.3 |
339 | 2025-04-18 09:15:46 | thinnest | 3 | 146162 | 130 | 29.940 | 4881.8 |
338 | 2025-04-18 01:07:32 | thinnest | 3 | 146162 | 130 | 26.393 | 5537.9 |
337 | 2025-04-16 07:15:56 | thinnest | 3 | 146162 | 130 | 30.613 | 4774.5 |
336 | 2025-04-14 19:08:08 | thinnest | 2 | 121059 | 15 | 3.873 | 31257.2 |
335 | 2025-04-13 20:02:58 | thinnest | 1 | 82945 | 2 | 3.736 | 22201.6 |
334 | 2025-04-13 06:14:33 | thinnest | 2 | 121059 | 15 | 3.763 | 32170.9 |
333 | 2025-03-28 23:23:33 | thinnest | 1 | 82945 | 2 | 10.063 | 8242.6 |
332 | 2025-03-20 04:52:48 | thinnest | 1 | 82945 | 2 | 3.360 | 24686.0 |
331 | 2025-03-19 23:36:20 | thinnest | 1 | 82945 | 2 | 4.780 | 17352.5 |
330 | 2025-03-15 02:31:36 | thinnest | 1 | 82945 | 2 | 9.126 | 9088.9 |
329 | 2025-03-14 03:55:26 | thinnest | 2 | 121059 | 15 | 16.610 | 7288.3 |
328 | 2025-03-14 03:52:37 | thinnest | 1 | 82945 | 2 | 10.216 | 8119.1 |
327 | 2025-03-12 16:44:18 | thinnest | 1 | 82945 | 2 | 5.263 | 15760.0 |
326 | 2025-03-11 09:55:43 | thinnest | 1 | 82945 | 2 | 6.983 | 11878.1 |
325 | 2025-03-01 15:20:49 | thinnest | 3 | 146162 | 130 | 36.410 | 4014.3 |
324 | 2025-02-26 22:07:09 | thinnest | 1 | 82945 | 2 | 3.233 | 25655.7 |
323 | 2025-02-25 22:34:06 | thinnest | 3 | 146162 | 130 | 30.580 | 4779.7 |
322 | 2025-02-18 19:27:33 | thinnest | 3 | 146162 | 130 | 40.190 | 3636.8 |
321 | 2025-02-12 03:34:57 | thinnest | 3 | 146162 | 130 | 43.576 | 3354.2 |
320 | 2025-02-07 11:31:25 | thinnest | 1 | 82945 | 2 | 6.940 | 11951.7 |
319 | 2025-02-07 09:10:38 | thinnest | 3 | 146162 | 130 | 31.220 | 4681.7 |
318 | 2025-02-04 20:39:42 | thinnest | 3 | 146162 | 130 | 32.716 | 4467.6 |
317 | 2025-02-04 01:35:52 | thinnest | 3 | 146162 | 130 | 34.190 | 4275.0 |
316 | 2025-02-04 01:35:54 | thinnest | 2 | 121059 | 15 | 24.046 | 5034.5 |
315 | 2025-02-04 01:28:23 | thinnest | 1 | 82945 | 2 | 3.436 | 24140.0 |
314 | 2025-02-01 08:36:01 | thinnest | 1 | 82945 | 2 | 9.813 | 8452.6 |
313 | 2025-01-25 21:09:04 | thinnest | 2 | 121059 | 15 | 3.376 | 35858.7 |
312 | 2025-01-25 21:09:03 | thinnest | 1 | 82945 | 2 | 1.453 | 57085.3 |
311 | 2025-01-11 02:40:47 | thinnest | 2 | 121059 | 15 | 17.956 | 6742.0 |
310 | 2025-01-10 06:55:22 | thinnest | 2 | 121059 | 15 | 21.406 | 5655.4 |
309 | 2025-01-08 10:44:06 | thinnest | 1 | 82945 | 2 | 6.640 | 12491.7 |
308 | 2025-01-06 13:15:42 | thinnest | 3 | 146162 | 130 | 22.923 | 6376.2 |
307 | 2025-01-05 19:57:31 | thinnest | 3 | 146162 | 130 | 36.456 | 4009.3 |
306 | 2025-01-04 22:04:06 | thinnest | 3 | 146162 | 130 | 10.126 | 14434.3 |
305 | 2025-01-04 22:04:07 | thinnest | 2 | 121059 | 15 | 4.000 | 30264.8 |
304 | 2025-01-04 22:03:56 | thinnest | 1 | 82945 | 2 | 1.250 | 66356.0 |
303 | 2024-12-29 10:22:36 | thinnest | 1 | 82945 | 2 | 6.140 | 13509.0 |
302 | 2024-12-05 19:33:15 | thinnest | 1 | 82945 | 2 | 4.623 | 17941.8 |
301 | 2024-11-29 07:37:48 | thinnest | 1 | 82945 | 2 | 4.610 | 17992.4 |
300 | 2024-11-27 08:54:42 | thinnest | 1 | 82945 | 2 | 6.140 | 13509.0 |
299 | 2024-11-10 13:45:04 | thinnest | 1 | 82945 | 2 | 1.420 | 58412.0 |
298 | 2024-10-29 16:53:50 | thinnest | 1 | 82945 | 2 | 6.016 | 13787.4 |
297 | 2024-10-29 02:41:22 | thinnest | 1 | 82945 | 2 | 4.016 | 20653.6 |
296 | 2024-10-28 01:02:45 | thinnest | 1 | 82945 | 2 | 6.763 | 12264.5 |
295 | 2024-10-08 15:55:16 | thinnest | 1 | 82945 | 2 | 15.906 | 5214.7 |
294 | 2024-09-27 22:08:41 | thinnest | 3 | 146162 | 130 | 55.643 | 2626.8 |
293 | 2024-09-27 16:31:27 | thinnest | 3 | 146162 | 130 | 54.970 | 2658.9 |
292 | 2024-09-27 10:39:04 | thinnest | 3 | 146162 | 130 | 41.056 | 3560.1 |
291 | 2024-09-27 08:02:11 | thinnest | 3 | 146162 | 130 | 45.673 | 3200.2 |
290 | 2024-09-27 08:02:15 | thinnest | 2 | 121059 | 15 | 22.563 | 5365.4 |
289 | 2024-09-27 08:01:32 | thinnest | 1 | 82945 | 2 | 11.376 | 7291.2 |
288 | 2024-09-23 16:13:32 | thinnest | 1 | 82945 | 2 | 6.110 | 13575.3 |