History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"skewness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
303 | 2025-08-27 12:09:00 | skewness | 1 | 82945 | 2 | 1.453 | 57085.3 |
302 | 2025-08-25 04:16:50 | skewness | 3 | 146162 | 121 | 27.626 | 5290.7 |
301 | 2025-08-24 08:58:08 | skewness | 1 | 82945 | 2 | 1.500 | 55296.7 |
300 | 2025-08-10 00:10:31 | skewness | 1 | 82945 | 2 | 4.080 | 20329.7 |
299 | 2025-07-29 17:18:33 | skewness | 1 | 82945 | 2 | 4.406 | 18825.5 |
298 | 2025-07-27 15:03:07 | skewness | 1 | 82945 | 2 | 6.580 | 12605.6 |
297 | 2025-07-27 02:12:14 | skewness | 1 | 82945 | 2 | 4.186 | 19814.9 |
296 | 2025-07-26 22:11:46 | skewness | 1 | 82945 | 2 | 2.923 | 28376.7 |
295 | 2025-07-23 05:01:28 | skewness | 1 | 82945 | 2 | 3.233 | 25655.7 |
294 | 2025-07-21 03:21:08 | skewness | 1 | 82945 | 2 | 1.546 | 53651.4 |
293 | 2025-07-20 19:35:00 | skewness | 1 | 82945 | 2 | 1.313 | 63172.1 |
292 | 2025-07-17 06:15:22 | skewness | 3 | 146162 | 121 | 35.130 | 4160.6 |
291 | 2025-07-14 01:32:17 | skewness | 3 | 146162 | 121 | 35.990 | 4061.2 |
290 | 2025-07-10 19:05:34 | skewness | 1 | 82945 | 2 | 6.563 | 12638.3 |
289 | 2025-07-04 20:02:02 | skewness | 3 | 146162 | 121 | 26.673 | 5479.8 |
288 | 2025-07-04 08:34:33 | skewness | 1 | 82945 | 2 | 1.500 | 55296.7 |
287 | 2025-07-02 11:30:06 | skewness | 2 | 121059 | 9 | 17.346 | 6979.1 |
286 | 2025-07-02 01:20:23 | skewness | 1 | 82945 | 2 | 10.453 | 7935.0 |
285 | 2025-06-30 11:57:23 | skewness | 2 | 121059 | 9 | 14.733 | 8216.9 |
284 | 2025-06-28 22:59:11 | skewness | 1 | 82945 | 2 | 1.876 | 44213.8 |
283 | 2025-06-21 13:15:15 | skewness | 1 | 82945 | 2 | 1.326 | 62552.8 |
282 | 2025-06-14 06:51:52 | skewness | 3 | 146162 | 121 | 30.626 | 4772.5 |
281 | 2025-06-12 04:46:44 | skewness | 3 | 146162 | 121 | 30.423 | 4804.3 |
280 | 2025-06-11 21:58:45 | skewness | 2 | 121059 | 9 | 18.556 | 6524.0 |
279 | 2025-06-11 09:00:32 | skewness | 1 | 82945 | 2 | 3.643 | 22768.3 |
278 | 2025-06-06 09:51:16 | skewness | 1 | 82945 | 2 | 3.046 | 27230.8 |
277 | 2025-06-04 08:09:24 | skewness | 1 | 82945 | 2 | 8.766 | 9462.1 |
276 | 2025-05-28 22:38:59 | skewness | 1 | 82945 | 2 | 8.280 | 10017.5 |
275 | 2025-05-24 01:46:11 | skewness | 1 | 82945 | 2 | 4.233 | 19594.8 |
274 | 2025-05-18 14:53:37 | skewness | 2 | 121059 | 9 | 20.720 | 5842.6 |
273 | 2025-05-14 23:07:36 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
272 | 2025-05-12 02:18:14 | skewness | 1 | 82945 | 2 | 5.203 | 15941.8 |
271 | 2025-05-11 22:12:26 | skewness | 2 | 121059 | 9 | 10.096 | 11990.8 |
270 | 2025-05-11 08:45:53 | skewness | 1 | 82945 | 2 | 1.483 | 55930.5 |
269 | 2025-05-10 22:37:55 | skewness | 1 | 82945 | 2 | 6.610 | 12548.4 |
268 | 2025-05-07 22:32:38 | skewness | 1 | 82945 | 2 | 7.733 | 10726.1 |
267 | 2025-05-06 09:53:37 | skewness | 1 | 82945 | 2 | 8.216 | 10095.5 |
266 | 2025-04-28 07:46:25 | skewness | 1 | 82945 | 2 | 6.983 | 11878.1 |
265 | 2025-04-24 23:32:45 | skewness | 3 | 146162 | 121 | 22.190 | 6586.8 |
264 | 2025-04-24 20:14:39 | skewness | 2 | 121059 | 9 | 3.873 | 31257.2 |
263 | 2025-04-23 13:15:38 | skewness | 1 | 82945 | 2 | 7.466 | 11109.7 |
262 | 2025-04-23 01:23:11 | skewness | 1 | 82945 | 2 | 8.440 | 9827.6 |
261 | 2025-04-22 22:08:11 | skewness | 1 | 82945 | 2 | 5.983 | 13863.4 |
260 | 2025-04-22 02:01:13 | skewness | 3 | 146162 | 121 | 7.000 | 20880.3 |
259 | 2025-04-20 11:52:17 | skewness | 1 | 82945 | 2 | 9.903 | 8375.7 |
258 | 2025-04-14 00:37:00 | skewness | 1 | 82945 | 2 | 4.720 | 17573.1 |
257 | 2025-04-04 15:10:02 | skewness | 3 | 146162 | 121 | 34.706 | 4211.4 |
256 | 2025-04-02 07:42:57 | skewness | 3 | 146162 | 121 | 33.470 | 4367.0 |
255 | 2025-04-02 05:48:57 | skewness | 3 | 146162 | 121 | 40.410 | 3617.0 |
254 | 2025-03-31 06:19:42 | skewness | 3 | 146162 | 121 | 28.753 | 5083.4 |
253 | 2025-03-28 20:33:14 | skewness | 3 | 146162 | 121 | 21.500 | 6798.2 |
252 | 2025-03-25 09:38:46 | skewness | 1 | 82945 | 2 | 6.203 | 13371.8 |
251 | 2025-03-25 06:48:25 | skewness | 3 | 146162 | 121 | 37.876 | 3859.0 |
250 | 2025-03-23 02:51:24 | skewness | 1 | 82945 | 2 | 8.556 | 9694.4 |
249 | 2025-03-22 19:03:50 | skewness | 2 | 121059 | 9 | 3.826 | 31641.1 |
248 | 2025-03-19 23:16:19 | skewness | 1 | 82945 | 2 | 7.216 | 11494.6 |
247 | 2025-03-19 04:27:10 | skewness | 2 | 121059 | 9 | 3.626 | 33386.4 |
246 | 2025-03-03 14:29:42 | skewness | 1 | 82945 | 2 | 3.890 | 21322.6 |
245 | 2025-02-17 00:16:18 | skewness | 2 | 121059 | 9 | 12.780 | 9472.5 |
244 | 2025-02-17 00:15:07 | skewness | 1 | 82945 | 2 | 6.423 | 12913.7 |
243 | 2025-02-07 09:18:26 | skewness | 2 | 121059 | 9 | 22.190 | 5455.6 |
242 | 2025-02-07 09:01:13 | skewness | 3 | 146162 | 121 | 7.250 | 20160.3 |
241 | 2025-02-07 09:00:30 | skewness | 1 | 82945 | 2 | 1.500 | 55296.7 |
240 | 2025-02-06 10:14:58 | skewness | 3 | 146162 | 121 | 32.580 | 4486.2 |
239 | 2025-02-05 02:46:12 | skewness | 2 | 121059 | 9 | 17.533 | 6904.6 |
238 | 2025-02-05 00:23:31 | skewness | 3 | 146162 | 121 | 6.970 | 20970.2 |
237 | 2025-02-05 00:23:23 | skewness | 1 | 82945 | 2 | 1.530 | 54212.4 |
236 | 2025-01-15 04:00:23 | skewness | 1 | 82945 | 2 | 6.813 | 12174.5 |
235 | 2025-01-05 08:44:21 | skewness | 1 | 82945 | 2 | 1.453 | 57085.3 |
234 | 2025-01-02 17:30:47 | skewness | 1 | 82945 | 2 | 6.686 | 12405.8 |
233 | 2024-12-12 12:22:28 | skewness | 3 | 146162 | 121 | 30.220 | 4836.6 |
232 | 2024-12-11 01:04:33 | skewness | 3 | 146162 | 121 | 32.673 | 4473.5 |
231 | 2024-12-11 01:04:32 | skewness | 2 | 121059 | 9 | 24.856 | 4870.4 |
230 | 2024-12-09 16:04:16 | skewness | 1 | 82945 | 2 | 5.800 | 14300.9 |
229 | 2024-12-08 19:03:37 | skewness | 3 | 146162 | 121 | 36.733 | 3979.0 |
228 | 2024-12-08 19:03:41 | skewness | 2 | 121059 | 9 | 20.093 | 6024.9 |
227 | 2024-11-27 23:45:12 | skewness | 2 | 121059 | 9 | 21.360 | 5667.6 |
226 | 2024-11-26 02:13:32 | skewness | 2 | 121059 | 9 | 9.203 | 13154.3 |
225 | 2024-11-26 02:13:29 | skewness | 1 | 82945 | 2 | 7.953 | 10429.4 |
224 | 2024-11-08 16:09:54 | skewness | 3 | 146162 | 121 | 26.486 | 5518.5 |
223 | 2024-11-08 16:09:54 | skewness | 2 | 121059 | 9 | 14.766 | 8198.5 |
222 | 2024-11-06 12:50:20 | skewness | 1 | 82945 | 2 | 1.563 | 53067.8 |
221 | 2024-10-31 03:10:23 | skewness | 1 | 82945 | 2 | 5.643 | 14698.7 |
220 | 2024-10-26 00:09:22 | skewness | 1 | 82945 | 2 | 6.076 | 13651.3 |
219 | 2024-10-12 12:09:51 | skewness | 2 | 121059 | 9 | 17.923 | 6754.4 |
218 | 2024-10-09 13:41:35 | skewness | 2 | 121059 | 9 | 13.566 | 8923.7 |
217 | 2024-10-09 04:53:15 | skewness | 3 | 146162 | 121 | 40.923 | 3571.6 |
216 | 2024-10-09 03:33:40 | skewness | 3 | 146162 | 121 | 31.470 | 4644.5 |
215 | 2024-10-08 20:54:02 | skewness | 3 | 146162 | 121 | 70.863 | 2062.6 |
214 | 2024-10-08 20:54:01 | skewness | 2 | 121059 | 9 | 21.516 | 5626.5 |
213 | 2024-10-08 17:51:49 | skewness | 3 | 146162 | 121 | 44.800 | 3262.5 |
212 | 2024-10-08 17:51:49 | skewness | 2 | 121059 | 9 | 25.283 | 4788.2 |
211 | 2024-10-08 17:51:54 | skewness | 1 | 82945 | 2 | 12.296 | 6745.7 |
210 | 2024-10-04 19:33:06 | skewness | 1 | 82945 | 2 | 5.013 | 16546.0 |
209 | 2024-09-05 23:10:49 | skewness | 1 | 82945 | 2 | 7.140 | 11616.9 |
208 | 2024-09-05 08:30:28 | skewness | 1 | 82945 | 2 | 13.046 | 6357.9 |
207 | 2024-09-04 11:53:03 | skewness | 1 | 82945 | 2 | 6.046 | 13719.0 |
206 | 2024-08-24 21:55:19 | skewness | 1 | 82945 | 2 | 6.533 | 12696.3 |
205 | 2024-08-20 06:55:54 | skewness | 1 | 82945 | 2 | 13.733 | 6039.8 |
204 | 2024-08-20 06:55:16 | skewness | 1 | 82945 | 2 | 7.860 | 10552.8 |