History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"filmset"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
257 | 2024-04-27 01:31:59 | filmset | 1 | 69583 | 2 | 2.593 | 26834.9 |
256 | 2024-04-01 12:43:33 | filmset | 2 | 107671 | 11 | 10.516 | 10238.8 |
255 | 2024-03-31 18:01:59 | filmset | 3 | 134027 | 108 | 62.800 | 2134.2 |
254 | 2024-03-31 16:26:02 | filmset | 3 | 134027 | 108 | 17.503 | 7657.4 |
253 | 2024-03-31 16:26:02 | filmset | 2 | 107671 | 11 | 7.893 | 13641.3 |
252 | 2024-03-31 15:33:25 | filmset | 1 | 69583 | 2 | 1.236 | 56296.9 |
251 | 2024-03-09 22:26:13 | filmset | 1 | 69583 | 2 | 1.470 | 47335.4 |
250 | 2024-02-28 14:42:34 | filmset | 1 | 69583 | 2 | 1.266 | 54962.9 |
249 | 2024-02-07 21:27:35 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
248 | 2024-02-04 01:56:22 | filmset | 1 | 69583 | 2 | 1.186 | 58670.3 |
247 | 2024-01-31 17:14:08 | filmset | 3 | 134027 | 108 | 5.470 | 24502.2 |
246 | 2024-01-31 17:14:04 | filmset | 2 | 107671 | 11 | 3.110 | 34620.9 |
245 | 2024-01-31 13:01:23 | filmset | 2 | 107671 | 11 | 3.546 | 30364.1 |
244 | 2024-01-31 13:01:03 | filmset | 2 | 107671 | 11 | 6.813 | 15803.8 |
243 | 2024-01-31 13:00:51 | filmset | 3 | 134027 | 108 | 5.846 | 22926.3 |
242 | 2024-01-31 12:59:51 | filmset | 3 | 134027 | 108 | 6.890 | 19452.4 |
241 | 2023-12-30 09:55:02 | filmset | 3 | 134027 | 108 | 6.373 | 21030.4 |
240 | 2023-12-30 09:55:01 | filmset | 2 | 107671 | 11 | 3.406 | 31612.2 |
239 | 2023-12-21 11:40:31 | filmset | 3 | 134027 | 108 | 5.706 | 23488.8 |
238 | 2023-12-16 19:27:15 | filmset | 1 | 69583 | 2 | 1.033 | 67360.1 |
237 | 2023-12-15 20:17:17 | filmset | 1 | 69583 | 2 | 1.203 | 57841.2 |
236 | 2023-12-06 17:04:32 | filmset | 1 | 69583 | 2 | 1.153 | 60349.5 |
235 | 2023-11-29 02:57:13 | filmset | 1 | 69583 | 2 | 1.140 | 61037.7 |
234 | 2023-11-13 21:10:18 | filmset | 1 | 69583 | 2 | 1.190 | 58473.1 |
233 | 2023-10-04 16:09:12 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
232 | 2023-10-02 14:45:06 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
231 | 2023-09-22 12:11:59 | filmset | 3 | 134027 | 108 | 5.623 | 23835.5 |
230 | 2023-09-13 11:45:26 | filmset | 1 | 69583 | 2 | 1.173 | 59320.5 |
229 | 2023-08-01 22:05:15 | filmset | 1 | 69583 | 2 | 1.186 | 58670.3 |
228 | 2023-06-27 05:31:06 | filmset | 3 | 134027 | 108 | 5.576 | 24036.4 |
227 | 2023-05-30 06:19:19 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
226 | 2023-04-29 03:49:58 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
225 | 2023-03-16 02:40:28 | filmset | 3 | 134027 | 108 | 5.673 | 23625.4 |
224 | 2023-02-20 12:31:23 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
223 | 2023-01-31 02:25:08 | filmset | 1 | 69583 | 2 | 1.030 | 67556.3 |
222 | 2022-12-18 17:25:28 | filmset | 1 | 69583 | 2 | 1.250 | 55666.4 |
221 | 2022-12-18 16:22:50 | filmset | 3 | 134027 | 108 | 6.140 | 21828.5 |
220 | 2022-12-08 12:39:42 | filmset | 3 | 134027 | 108 | 5.843 | 22938.0 |
219 | 2022-10-25 02:13:59 | filmset | 3 | 134027 | 108 | 7.156 | 18729.3 |
218 | 2022-10-02 10:35:17 | filmset | 1 | 69583 | 2 | 1.170 | 59472.6 |
217 | 2022-09-04 15:03:33 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
216 | 2022-09-02 10:51:12 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
215 | 2022-08-10 14:13:08 | filmset | 3 | 134027 | 108 | 5.690 | 23554.8 |
214 | 2022-06-08 04:22:03 | filmset | 1 | 69583 | 2 | 1.060 | 65644.3 |
213 | 2022-05-08 01:44:08 | filmset | 3 | 134027 | 108 | 5.576 | 24036.4 |
212 | 2022-03-23 10:01:22 | filmset | 3 | 134027 | 108 | 8.080 | 16587.5 |
211 | 2022-02-07 11:48:31 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
210 | 2021-11-13 19:46:29 | filmset | 1 | 69583 | 2 | 1.156 | 60192.9 |
209 | 2021-10-24 06:46:35 | filmset | 1 | 69583 | 2 | 1.220 | 57035.2 |
208 | 2021-09-04 15:46:34 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
207 | 2021-07-26 21:24:49 | filmset | 3 | 134027 | 108 | 6.096 | 21986.1 |
206 | 2021-07-13 11:58:03 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
205 | 2021-05-30 07:09:16 | filmset | 1 | 69583 | 2 | 1.203 | 57841.2 |
204 | 2021-05-17 12:39:32 | filmset | 3 | 134027 | 108 | 5.610 | 23890.7 |
203 | 2021-05-04 23:51:38 | filmset | 1 | 69583 | 2 | 1.076 | 64668.2 |
202 | 2021-04-17 13:15:28 | filmset | 3 | 134027 | 108 | 7.296 | 18369.9 |
201 | 2021-04-14 07:45:24 | filmset | 1 | 69583 | 2 | 1.250 | 55666.4 |
200 | 2021-04-03 01:45:07 | filmset | 1 | 69583 | 2 | 1.170 | 59472.6 |
199 | 2021-01-30 00:31:52 | filmset | 3 | 134027 | 108 | 6.140 | 21828.5 |
198 | 2021-01-18 00:36:26 | filmset | 1 | 69583 | 2 | 1.143 | 60877.5 |
197 | 2021-01-08 12:18:42 | filmset | 1 | 69583 | 2 | 1.060 | 65644.3 |
196 | 2021-01-01 20:06:23 | filmset | 3 | 134027 | 108 | 6.466 | 20728.0 |
195 | 2020-11-23 16:49:39 | filmset | 1 | 69583 | 2 | 1.060 | 65644.3 |
194 | 2020-11-16 22:52:18 | filmset | 3 | 134027 | 108 | 5.750 | 23309.0 |
193 | 2020-10-16 18:01:34 | filmset | 2 | 107671 | 11 | 5.716 | 18836.8 |
192 | 2020-10-10 12:40:52 | filmset | 3 | 134027 | 108 | 5.546 | 24166.4 |
191 | 2020-10-08 13:40:36 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
190 | 2020-10-07 16:49:35 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
189 | 2020-10-03 23:21:18 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
188 | 2020-09-25 17:54:17 | filmset | 3 | 134027 | 108 | 5.983 | 22401.3 |
187 | 2020-08-05 21:43:38 | filmset | 1 | 69583 | 2 | 1.106 | 62914.1 |
186 | 2020-08-05 14:14:51 | filmset | 3 | 134027 | 108 | 5.890 | 22755.0 |
185 | 2020-06-16 01:19:31 | filmset | 1 | 69583 | 2 | 1.203 | 57841.2 |
184 | 2020-03-28 23:42:51 | filmset | 1 | 69583 | 2 | 1.156 | 60192.9 |
183 | 2020-03-27 17:56:12 | filmset | 1 | 69583 | 2 | 1.060 | 65644.3 |
182 | 2020-03-22 20:53:06 | filmset | 1 | 69583 | 2 | 1.063 | 65459.1 |
181 | 2020-03-11 10:24:02 | filmset | 1 | 69583 | 2 | 1.046 | 66522.9 |
180 | 2020-03-04 14:39:35 | filmset | 1 | 69583 | 2 | 2.296 | 30306.2 |
179 | 2020-02-25 20:24:49 | filmset | 1 | 69583 | 2 | 1.220 | 57035.2 |
178 | 2020-02-05 10:55:30 | filmset | 1 | 69583 | 2 | 1.356 | 51314.9 |
177 | 2020-02-05 02:00:06 | filmset | 1 | 69583 | 2 | 4.110 | 16930.2 |
176 | 2020-02-03 14:08:49 | filmset | 1 | 69583 | 2 | 1.220 | 57035.2 |
175 | 2020-01-29 01:52:08 | filmset | 1 | 69583 | 2 | 1.296 | 53690.6 |
174 | 2020-01-25 00:51:51 | filmset | 1 | 69583 | 2 | 1.346 | 51696.1 |
173 | 2020-01-18 04:09:48 | filmset | 1 | 69583 | 2 | 1.940 | 35867.5 |
172 | 2020-01-10 14:19:45 | filmset | 1 | 69583 | 2 | 2.703 | 25742.9 |
171 | 2020-01-01 14:54:30 | filmset | 1 | 69583 | 2 | 3.343 | 20814.5 |
170 | 2019-12-31 20:12:05 | filmset | 1 | 69583 | 2 | 1.233 | 56433.9 |
169 | 2019-12-30 12:31:40 | filmset | 1 | 69583 | 2 | 1.123 | 61961.7 |
168 | 2019-12-02 16:46:24 | filmset | 1 | 69583 | 2 | 1.123 | 61961.7 |
167 | 2019-09-03 10:41:28 | filmset | 1 | 69583 | 2 | 1.073 | 64849.0 |
166 | 2019-06-06 09:14:50 | filmset | 1 | 69583 | 2 | 1.193 | 58326.1 |
165 | 2019-06-03 18:32:16 | filmset | 1 | 69583 | 2 | 1.183 | 58819.1 |
164 | 2019-02-26 17:50:07 | filmset | 1 | 69583 | 2 | 1.040 | 66906.7 |
163 | 2019-02-22 10:38:28 | filmset | 1 | 69583 | 2 | 1.306 | 53279.5 |
162 | 2019-02-06 23:14:26 | filmset | 3 | 134027 | 108 | 6.143 | 21817.8 |
161 | 2019-01-30 18:55:44 | filmset | 1 | 69583 | 2 | 1.246 | 55845.1 |
160 | 2019-01-07 04:37:02 | filmset | 1 | 69583 | 2 | 1.166 | 59676.7 |
159 | 2018-12-31 22:08:12 | filmset | 3 | 134027 | 108 | 6.366 | 21053.6 |
158 | 2018-12-24 19:07:37 | filmset | 3 | 134027 | 108 | 6.066 | 22094.8 |