History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"readiness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
276 | 2024-05-06 01:43:52 | readiness | 1 | 81242 | 4 | 3.233 | 25129.0 |
275 | 2024-04-30 08:36:02 | readiness | 1 | 81242 | 4 | 1.796 | 45235.0 |
274 | 2024-04-29 03:42:43 | readiness | 2 | 121436 | 42 | 9.420 | 12891.3 |
273 | 2024-04-27 18:39:59 | readiness | 2 | 121436 | 42 | 4.406 | 27561.5 |
272 | 2024-04-25 02:34:37 | readiness | 3 | 148641 | 248 | 22.813 | 6515.6 |
271 | 2024-04-23 19:09:25 | readiness | 1 | 81242 | 4 | 1.423 | 57092.1 |
270 | 2024-04-23 04:36:59 | readiness | 3 | 148641 | 248 | 27.973 | 5313.7 |
269 | 2024-04-23 04:36:56 | readiness | 2 | 121436 | 42 | 13.986 | 8682.7 |
268 | 2024-04-23 01:24:50 | readiness | 1 | 81242 | 4 | 1.470 | 55266.7 |
267 | 2024-04-09 10:07:24 | readiness | 1 | 81242 | 4 | 1.376 | 59042.2 |
266 | 2024-03-31 22:21:15 | readiness | 1 | 81242 | 4 | 1.390 | 58447.5 |
265 | 2024-03-27 03:06:05 | readiness | 1 | 81242 | 4 | 5.016 | 16196.6 |
264 | 2024-03-27 02:07:33 | readiness | 2 | 121436 | 42 | 4.450 | 27289.0 |
263 | 2024-03-27 00:29:30 | readiness | 1 | 81242 | 4 | 2.750 | 29542.5 |
262 | 2024-03-25 21:16:33 | readiness | 3 | 148641 | 248 | 27.703 | 5365.5 |
261 | 2024-03-25 20:25:52 | readiness | 3 | 148641 | 248 | 14.656 | 10142.0 |
260 | 2024-03-24 17:28:55 | readiness | 3 | 148641 | 248 | 23.156 | 6419.1 |
259 | 2024-03-23 18:39:49 | readiness | 3 | 148641 | 248 | 16.280 | 9130.3 |
258 | 2024-03-23 18:39:52 | readiness | 2 | 121436 | 42 | 7.923 | 15327.0 |
257 | 2024-03-23 16:56:37 | readiness | 1 | 81242 | 4 | 1.453 | 55913.3 |
256 | 2024-03-08 21:53:17 | readiness | 1 | 81242 | 4 | 1.500 | 54161.3 |
255 | 2024-02-22 15:09:46 | readiness | 3 | 148641 | 248 | 18.126 | 8200.4 |
254 | 2024-02-22 15:09:46 | readiness | 2 | 121436 | 42 | 4.516 | 26890.2 |
253 | 2024-02-22 08:39:27 | readiness | 1 | 81242 | 4 | 1.610 | 50460.9 |
252 | 2024-02-11 05:19:47 | readiness | 3 | 148641 | 248 | 7.750 | 19179.5 |
251 | 2024-02-01 06:44:48 | readiness | 1 | 81242 | 4 | 1.406 | 57782.4 |
250 | 2024-01-14 02:22:20 | readiness | 2 | 121436 | 42 | 3.563 | 34082.5 |
249 | 2024-01-07 21:16:57 | readiness | 1 | 81242 | 4 | 1.563 | 51978.2 |
248 | 2023-12-30 05:37:13 | readiness | 3 | 148641 | 248 | 7.686 | 19339.2 |
247 | 2023-12-28 20:24:27 | readiness | 3 | 148641 | 248 | 8.656 | 17172.0 |
246 | 2023-12-25 02:59:52 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
245 | 2023-12-02 01:06:02 | readiness | 1 | 81242 | 4 | 1.283 | 63321.9 |
244 | 2023-11-23 13:45:11 | readiness | 1 | 81242 | 4 | 1.283 | 63321.9 |
243 | 2023-11-12 12:10:14 | readiness | 3 | 148641 | 248 | 6.390 | 23261.5 |
242 | 2023-11-10 19:10:06 | readiness | 1 | 81242 | 4 | 1.453 | 55913.3 |
241 | 2023-11-02 03:59:10 | readiness | 1 | 81242 | 4 | 1.406 | 57782.4 |
240 | 2023-10-24 16:15:11 | readiness | 2 | 121436 | 42 | 3.420 | 35507.6 |
239 | 2023-10-19 21:51:40 | readiness | 1 | 81242 | 4 | 1.500 | 54161.3 |
238 | 2023-09-26 18:21:51 | readiness | 1 | 81242 | 4 | 1.470 | 55266.7 |
237 | 2023-08-24 22:10:29 | readiness | 1 | 81242 | 4 | 1.266 | 64172.2 |
236 | 2023-08-15 22:21:14 | readiness | 1 | 81242 | 4 | 1.296 | 62686.7 |
235 | 2023-08-15 05:13:11 | readiness | 3 | 148641 | 248 | 7.500 | 19818.8 |
234 | 2023-08-02 17:35:48 | readiness | 2 | 121436 | 42 | 3.250 | 37364.9 |
233 | 2023-05-28 10:37:33 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
232 | 2023-04-29 03:25:04 | readiness | 3 | 148641 | 248 | 6.326 | 23496.8 |
231 | 2023-04-20 08:33:50 | readiness | 1 | 81242 | 4 | 2.563 | 31698.0 |
230 | 2023-04-12 19:58:34 | readiness | 2 | 121436 | 42 | 3.140 | 38673.9 |
229 | 2023-03-22 18:22:51 | readiness | 1 | 81242 | 4 | 1.406 | 57782.4 |
228 | 2023-02-03 10:13:33 | readiness | 3 | 148641 | 248 | 7.533 | 19732.0 |
227 | 2023-01-19 07:17:00 | readiness | 2 | 121436 | 42 | 3.563 | 34082.5 |
226 | 2023-01-09 07:53:50 | readiness | 1 | 81242 | 4 | 1.250 | 64993.6 |
225 | 2022-12-24 01:34:30 | readiness | 1 | 81242 | 4 | 1.250 | 64993.6 |
224 | 2022-11-13 17:31:58 | readiness | 3 | 148641 | 248 | 6.733 | 22076.5 |
223 | 2022-10-30 12:06:38 | readiness | 2 | 121436 | 42 | 3.186 | 38115.5 |
222 | 2022-10-17 12:44:11 | readiness | 1 | 81242 | 4 | 1.406 | 57782.4 |
221 | 2022-08-16 21:20:31 | readiness | 1 | 81242 | 4 | 1.466 | 55417.5 |
220 | 2022-06-18 05:54:53 | readiness | 3 | 148641 | 248 | 6.310 | 23556.4 |
219 | 2022-06-16 02:13:41 | readiness | 3 | 148641 | 248 | 6.516 | 22811.7 |
218 | 2022-06-08 08:19:24 | readiness | 1 | 81242 | 4 | 1.313 | 61875.1 |
217 | 2022-05-16 13:07:38 | readiness | 2 | 121436 | 42 | 4.360 | 27852.3 |
216 | 2022-04-05 21:21:59 | readiness | 1 | 81242 | 4 | 1.610 | 50460.9 |
215 | 2022-03-07 13:04:28 | readiness | 3 | 148641 | 248 | 8.033 | 18503.8 |
214 | 2022-02-20 08:10:43 | readiness | 1 | 81242 | 4 | 1.263 | 64324.6 |
213 | 2022-02-18 04:39:27 | readiness | 1 | 81242 | 4 | 1.376 | 59042.2 |
212 | 2022-02-04 03:01:21 | readiness | 3 | 148641 | 248 | 7.936 | 18730.0 |
211 | 2022-01-11 17:03:01 | readiness | 2 | 121436 | 42 | 3.280 | 37023.2 |
210 | 2021-12-12 08:21:05 | readiness | 1 | 81242 | 4 | 1.513 | 53696.0 |
209 | 2021-12-03 07:43:13 | readiness | 1 | 81242 | 4 | 1.500 | 54161.3 |
208 | 2021-11-09 09:38:01 | readiness | 3 | 148641 | 248 | 6.626 | 22433.0 |
207 | 2021-10-20 05:29:51 | readiness | 2 | 121436 | 42 | 3.233 | 37561.4 |
206 | 2021-10-14 19:01:45 | readiness | 1 | 81242 | 4 | 1.453 | 55913.3 |
205 | 2021-10-12 17:53:49 | readiness | 1 | 81242 | 4 | 1.250 | 64993.6 |
204 | 2021-09-04 08:25:31 | readiness | 1 | 81242 | 4 | 1.406 | 57782.4 |
203 | 2021-09-02 02:05:04 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
202 | 2021-09-01 18:27:10 | readiness | 1 | 81242 | 4 | 1.310 | 62016.8 |
201 | 2021-08-13 10:03:50 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
200 | 2021-05-25 09:44:15 | readiness | 1 | 81242 | 4 | 1.453 | 55913.3 |
199 | 2021-05-23 07:44:57 | readiness | 1 | 81242 | 4 | 1.500 | 54161.3 |
198 | 2021-05-14 19:11:09 | readiness | 3 | 148641 | 248 | 6.266 | 23721.8 |
197 | 2021-04-24 13:37:22 | readiness | 1 | 81242 | 4 | 1.936 | 41963.8 |
196 | 2021-04-13 22:25:44 | readiness | 3 | 148641 | 248 | 7.970 | 18650.1 |
195 | 2021-03-26 11:22:15 | readiness | 1 | 81242 | 4 | 1.283 | 63321.9 |
194 | 2021-02-28 14:47:48 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
193 | 2021-02-20 12:51:36 | readiness | 3 | 148641 | 248 | 7.313 | 20325.6 |
192 | 2021-02-19 21:23:32 | readiness | 1 | 81242 | 4 | 1.436 | 56575.2 |
191 | 2021-01-09 18:12:09 | readiness | 1 | 81242 | 4 | 1.390 | 58447.5 |
190 | 2020-12-29 18:42:50 | readiness | 3 | 148641 | 248 | 8.876 | 16746.4 |
189 | 2020-11-20 23:04:53 | readiness | 1 | 81242 | 4 | 1.283 | 63321.9 |
188 | 2020-10-26 04:07:37 | readiness | 1 | 81242 | 4 | 1.296 | 62686.7 |
187 | 2020-10-16 22:12:45 | readiness | 1 | 81242 | 4 | 1.470 | 55266.7 |
186 | 2020-10-15 15:06:01 | readiness | 3 | 148641 | 248 | 7.826 | 18993.2 |
185 | 2020-10-15 08:40:15 | readiness | 1 | 81242 | 4 | 1.296 | 62686.7 |
184 | 2020-10-10 00:00:58 | readiness | 1 | 81242 | 4 | 1.296 | 62686.7 |
183 | 2020-09-28 03:35:20 | readiness | 1 | 81242 | 4 | 1.250 | 64993.6 |
182 | 2020-09-09 15:46:51 | readiness | 1 | 81242 | 4 | 1.436 | 56575.2 |
181 | 2020-09-03 11:49:13 | readiness | 1 | 81242 | 4 | 1.420 | 57212.7 |
180 | 2020-08-20 07:41:38 | readiness | 1 | 81242 | 4 | 1.326 | 61268.5 |
179 | 2020-05-10 00:47:08 | readiness | 1 | 81242 | 4 | 1.440 | 56418.1 |
178 | 2020-05-09 21:08:20 | readiness | 1 | 81242 | 4 | 1.263 | 64324.6 |
177 | 2020-05-06 00:48:11 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |