History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precisions"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
265 | 2024-04-27 20:01:04 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
264 | 2024-04-26 12:40:07 | precisions | 4 | 161450 | 403 | 19.673 | 8206.7 |
263 | 2024-04-20 19:21:11 | precisions | 1 | 67641 | 5 | 1.483 | 45610.9 |
262 | 2024-04-20 19:15:55 | precisions | 2 | 108824 | 18 | 12.360 | 8804.5 |
261 | 2024-04-20 13:14:55 | precisions | 2 | 108824 | 18 | 7.296 | 14915.6 |
260 | 2024-04-20 13:14:14 | precisions | 1 | 67641 | 5 | 3.250 | 20812.6 |
259 | 2024-04-19 19:08:17 | precisions | 3 | 140603 | 76 | 24.780 | 5674.1 |
258 | 2024-04-18 16:04:05 | precisions | 3 | 140603 | 76 | 15.733 | 8936.8 |
257 | 2024-04-18 15:20:10 | precisions | 4 | 161450 | 403 | 20.516 | 7869.5 |
256 | 2024-04-18 13:27:21 | precisions | 4 | 161450 | 403 | 42.816 | 3770.8 |
255 | 2024-04-18 09:13:42 | precisions | 3 | 140603 | 76 | 22.390 | 6279.7 |
254 | 2024-04-18 09:13:36 | precisions | 4 | 161450 | 403 | 18.096 | 8921.9 |
253 | 2024-04-18 09:13:36 | precisions | 2 | 108824 | 18 | 3.576 | 30431.8 |
252 | 2024-04-18 09:10:16 | precisions | 1 | 67641 | 5 | 1.843 | 36701.6 |
251 | 2024-04-06 19:08:59 | precisions | 1 | 67641 | 5 | 3.860 | 17523.6 |
250 | 2024-03-31 03:35:28 | precisions | 1 | 67641 | 5 | 1.360 | 49736.0 |
249 | 2024-03-28 15:39:55 | precisions | 1 | 67641 | 5 | 1.143 | 59178.5 |
248 | 2024-03-11 23:42:59 | precisions | 1 | 67641 | 5 | 1.373 | 49265.1 |
247 | 2024-03-11 17:51:05 | precisions | 3 | 140603 | 76 | 16.720 | 8409.3 |
246 | 2024-03-11 17:50:58 | precisions | 2 | 108824 | 18 | 13.890 | 7834.7 |
245 | 2024-03-11 17:50:43 | precisions | 1 | 67641 | 5 | 1.593 | 42461.4 |
244 | 2024-03-08 11:37:05 | precisions | 4 | 161450 | 403 | 39.283 | 4109.9 |
243 | 2024-03-08 09:52:39 | precisions | 4 | 161450 | 403 | 19.923 | 8103.7 |
242 | 2024-03-07 21:22:24 | precisions | 1 | 67641 | 5 | 1.233 | 54858.9 |
241 | 2024-03-01 19:20:57 | precisions | 1 | 67641 | 5 | 3.593 | 18825.8 |
240 | 2024-02-29 17:19:06 | precisions | 1 | 67641 | 5 | 1.203 | 56226.9 |
239 | 2024-02-29 10:51:27 | precisions | 1 | 67641 | 5 | 1.546 | 43752.3 |
238 | 2024-02-27 12:48:35 | precisions | 1 | 67641 | 5 | 1.233 | 54858.9 |
237 | 2024-02-08 07:11:34 | precisions | 1 | 67641 | 5 | 1.160 | 58311.2 |
236 | 2024-02-06 19:24:06 | precisions | 1 | 67641 | 5 | 1.156 | 58513.0 |
235 | 2024-01-31 03:37:19 | precisions | 1 | 67641 | 5 | 1.186 | 57032.9 |
234 | 2024-01-30 19:12:19 | precisions | 4 | 161450 | 403 | 13.453 | 12001.0 |
233 | 2024-01-30 15:19:31 | precisions | 1 | 67641 | 5 | 1.923 | 35174.7 |
232 | 2024-01-30 11:56:48 | precisions | 1 | 67641 | 5 | 1.233 | 54858.9 |
231 | 2024-01-28 07:53:51 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
230 | 2024-01-19 15:11:05 | precisions | 3 | 140603 | 76 | 5.906 | 23806.8 |
229 | 2024-01-01 22:21:22 | precisions | 4 | 161450 | 403 | 13.580 | 11888.8 |
228 | 2023-12-29 05:25:19 | precisions | 1 | 67641 | 5 | 1.190 | 56841.2 |
227 | 2023-12-27 18:16:08 | precisions | 4 | 161450 | 403 | 11.500 | 14039.1 |
226 | 2023-12-26 11:43:10 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
225 | 2023-12-23 12:09:38 | precisions | 4 | 161450 | 403 | 9.936 | 16249.0 |
224 | 2023-12-07 06:34:42 | precisions | 1 | 67641 | 5 | 1.216 | 55625.8 |
223 | 2023-12-02 10:50:42 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
222 | 2023-12-02 01:14:39 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
221 | 2023-11-23 06:54:09 | precisions | 4 | 161450 | 403 | 18.830 | 8574.1 |
220 | 2023-11-16 00:19:26 | precisions | 4 | 161450 | 403 | 14.610 | 11050.7 |
219 | 2023-11-08 18:13:28 | precisions | 1 | 67641 | 5 | 1.106 | 61158.2 |
218 | 2023-11-03 11:46:12 | precisions | 4 | 161450 | 403 | 21.753 | 7422.0 |
217 | 2023-11-02 10:29:43 | precisions | 4 | 161450 | 403 | 14.140 | 11418.0 |
216 | 2023-10-31 18:44:04 | precisions | 3 | 140603 | 76 | 5.856 | 24010.1 |
215 | 2023-10-23 15:49:26 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
214 | 2023-10-18 08:22:29 | precisions | 4 | 161450 | 403 | 21.830 | 7395.8 |
213 | 2023-10-15 09:12:13 | precisions | 1 | 67641 | 5 | 1.060 | 63812.3 |
212 | 2023-10-14 10:19:13 | precisions | 4 | 161450 | 403 | 13.766 | 11728.2 |
211 | 2023-10-04 02:32:42 | precisions | 1 | 67641 | 5 | 1.110 | 60937.8 |
210 | 2023-10-04 02:24:23 | precisions | 4 | 161450 | 403 | 29.533 | 5466.8 |
209 | 2023-10-04 01:26:22 | precisions | 4 | 161450 | 403 | 10.030 | 16096.7 |
208 | 2023-10-02 08:09:37 | precisions | 4 | 161450 | 403 | 10.890 | 14825.5 |
207 | 2023-09-21 11:46:51 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
206 | 2023-08-30 01:42:00 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
205 | 2023-08-26 14:21:33 | precisions | 4 | 161450 | 403 | 10.783 | 14972.6 |
204 | 2023-08-07 19:21:01 | precisions | 3 | 140603 | 76 | 5.576 | 25215.7 |
203 | 2023-07-17 19:54:33 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
202 | 2023-07-13 06:25:45 | precisions | 4 | 161450 | 403 | 10.750 | 15018.6 |
201 | 2023-05-05 17:35:04 | precisions | 1 | 67641 | 5 | 1.030 | 65670.9 |
200 | 2023-04-20 17:06:36 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
199 | 2023-04-17 03:13:31 | precisions | 3 | 140603 | 76 | 5.516 | 25490.0 |
198 | 2023-03-31 00:15:26 | precisions | 4 | 161450 | 403 | 10.563 | 15284.5 |
197 | 2023-02-05 23:30:15 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
196 | 2023-01-23 13:09:47 | precisions | 3 | 140603 | 76 | 5.906 | 23806.8 |
195 | 2023-01-15 22:41:26 | precisions | 1 | 67641 | 5 | 1.030 | 65670.9 |
194 | 2022-12-27 17:38:59 | precisions | 4 | 161450 | 403 | 11.173 | 14450.0 |
193 | 2022-12-04 18:22:46 | precisions | 1 | 67641 | 5 | 1.173 | 57665.0 |
192 | 2022-11-03 23:13:10 | precisions | 3 | 140603 | 76 | 5.623 | 25005.0 |
191 | 2022-09-17 13:00:42 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
190 | 2022-08-29 23:32:16 | precisions | 4 | 161450 | 403 | 10.093 | 15996.2 |
189 | 2022-07-31 03:42:30 | precisions | 1 | 67641 | 5 | 1.076 | 62863.4 |
188 | 2022-06-05 19:20:05 | precisions | 3 | 140603 | 76 | 5.796 | 24258.6 |
187 | 2022-05-15 05:33:10 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
186 | 2022-03-23 10:11:36 | precisions | 1 | 67641 | 5 | 1.310 | 51634.4 |
185 | 2022-01-24 01:15:31 | precisions | 1 | 67641 | 5 | 1.216 | 55625.8 |
184 | 2021-12-29 09:18:47 | precisions | 1 | 67641 | 5 | 1.186 | 57032.9 |
183 | 2021-10-27 21:42:02 | precisions | 1 | 67641 | 5 | 1.170 | 57812.8 |
182 | 2021-10-14 01:56:43 | precisions | 1 | 67641 | 5 | 1.153 | 58665.2 |
181 | 2021-10-10 19:53:04 | precisions | 1 | 67641 | 5 | 1.110 | 60937.8 |
180 | 2021-10-03 04:00:43 | precisions | 1 | 67641 | 5 | 1.050 | 64420.0 |
179 | 2021-07-09 03:37:18 | precisions | 1 | 67641 | 5 | 1.033 | 65480.2 |
178 | 2021-04-28 11:15:56 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
177 | 2021-04-05 06:19:59 | precisions | 1 | 67641 | 5 | 2.420 | 27950.8 |
176 | 2021-04-01 02:48:04 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
175 | 2021-03-28 07:53:35 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
174 | 2021-02-12 22:33:13 | precisions | 1 | 67641 | 5 | 1.186 | 57032.9 |
173 | 2021-02-10 18:51:09 | precisions | 1 | 67641 | 5 | 1.063 | 63632.2 |
172 | 2020-12-23 22:32:18 | precisions | 1 | 67641 | 5 | 1.063 | 63632.2 |
171 | 2020-10-23 03:03:08 | precisions | 1 | 67641 | 5 | 1.203 | 56226.9 |
170 | 2020-10-08 22:34:29 | precisions | 1 | 67641 | 5 | 1.016 | 66575.8 |
169 | 2020-09-29 20:00:54 | precisions | 1 | 67641 | 5 | 1.013 | 66773.0 |
168 | 2020-09-20 00:50:44 | precisions | 1 | 67641 | 5 | 1.033 | 65480.2 |
167 | 2020-09-07 11:48:44 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
166 | 2020-09-04 07:45:40 | precisions | 1 | 67641 | 5 | 1.110 | 60937.8 |