History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"glossaries"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 276 | 2024-04-22 16:35:30 | glossaries | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 275 | 2024-04-04 11:57:14 | glossaries | 4 | 161450 | 146 | 9.440 | 17102.8 |
| 274 | 2024-04-03 18:41:47 | glossaries | 4 | 161450 | 146 | 20.796 | 7763.5 |
| 273 | 2024-04-03 01:48:59 | glossaries | 4 | 161450 | 146 | 40.953 | 3942.3 |
| 272 | 2024-04-03 00:46:22 | glossaries | 4 | 161450 | 146 | 46.286 | 3488.1 |
| 271 | 2024-03-29 07:12:43 | glossaries | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 270 | 2024-03-28 11:14:24 | glossaries | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 269 | 2024-03-19 14:21:31 | glossaries | 1 | 67641 | 1 | 1.283 | 52721.0 |
| 268 | 2024-03-16 16:17:44 | glossaries | 2 | 108824 | 5 | 10.703 | 10167.6 |
| 267 | 2024-03-16 16:16:33 | glossaries | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 266 | 2024-03-14 03:32:13 | glossaries | 2 | 108824 | 5 | 3.580 | 30397.8 |
| 265 | 2024-03-14 03:31:57 | glossaries | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 264 | 2024-03-13 20:50:39 | glossaries | 2 | 108824 | 5 | 8.203 | 13266.4 |
| 263 | 2024-03-13 10:10:54 | glossaries | 1 | 67641 | 1 | 2.250 | 30062.7 |
| 262 | 2024-03-13 10:10:26 | glossaries | 2 | 108824 | 5 | 4.190 | 25972.3 |
| 261 | 2024-03-13 10:08:19 | glossaries | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 260 | 2024-03-02 17:58:38 | glossaries | 3 | 140603 | 26 | 9.250 | 15200.3 |
| 259 | 2024-02-28 05:45:51 | glossaries | 4 | 161450 | 146 | 16.860 | 9575.9 |
| 258 | 2024-02-28 05:45:50 | glossaries | 3 | 140603 | 26 | 16.250 | 8652.5 |
| 257 | 2024-02-06 13:33:46 | glossaries | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 256 | 2024-02-04 13:12:08 | glossaries | 1 | 67641 | 1 | 1.670 | 40503.6 |
| 255 | 2024-01-30 09:39:55 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 254 | 2024-01-29 21:44:07 | glossaries | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 253 | 2024-01-27 06:14:10 | glossaries | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 252 | 2024-01-12 03:17:04 | glossaries | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 251 | 2023-12-26 12:02:34 | glossaries | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 250 | 2023-12-07 14:42:38 | glossaries | 4 | 161450 | 146 | 9.456 | 17073.8 |
| 249 | 2023-12-03 13:18:12 | glossaries | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 248 | 2023-11-11 20:46:06 | glossaries | 1 | 67641 | 1 | 2.013 | 33602.1 |
| 247 | 2023-11-06 21:59:10 | glossaries | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 246 | 2023-10-15 07:54:42 | glossaries | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 245 | 2023-10-01 03:22:19 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 244 | 2023-09-12 15:54:26 | glossaries | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 243 | 2023-09-05 22:47:26 | glossaries | 4 | 161450 | 146 | 9.000 | 17938.9 |
| 242 | 2023-08-27 17:25:42 | glossaries | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 241 | 2023-06-01 19:20:07 | glossaries | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 240 | 2023-05-21 06:06:34 | glossaries | 4 | 161450 | 146 | 10.156 | 15897.0 |
| 239 | 2023-05-02 03:30:54 | glossaries | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 238 | 2023-03-26 04:26:00 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 237 | 2023-03-21 08:29:30 | glossaries | 4 | 161450 | 146 | 11.173 | 14450.0 |
| 236 | 2023-02-28 00:23:22 | glossaries | 4 | 161450 | 146 | 8.923 | 18093.7 |
| 235 | 2023-02-11 16:25:58 | glossaries | 4 | 161450 | 146 | 9.470 | 17048.6 |
| 234 | 2023-01-09 18:17:05 | glossaries | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 233 | 2023-01-05 04:54:04 | glossaries | 4 | 161450 | 146 | 9.063 | 17814.2 |
| 232 | 2023-01-04 21:32:35 | glossaries | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 231 | 2022-12-09 17:07:02 | glossaries | 4 | 161450 | 146 | 8.843 | 18257.4 |
| 230 | 2022-10-11 23:49:17 | glossaries | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 229 | 2022-09-01 05:46:06 | glossaries | 4 | 161450 | 146 | 9.486 | 17019.8 |
| 228 | 2022-08-20 22:47:47 | glossaries | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 227 | 2022-07-25 11:06:54 | glossaries | 4 | 161450 | 146 | 9.063 | 17814.2 |
| 226 | 2022-05-31 13:28:48 | glossaries | 1 | 67641 | 1 | 1.050 | 64420.0 |
| 225 | 2022-04-06 12:39:21 | glossaries | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 224 | 2022-02-28 22:56:05 | glossaries | 4 | 161450 | 146 | 10.563 | 15284.5 |
| 223 | 2022-02-25 15:22:50 | glossaries | 1 | 67641 | 1 | 1.313 | 51516.4 |
| 222 | 2021-11-29 17:36:31 | glossaries | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 221 | 2021-09-27 00:20:17 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 220 | 2021-09-21 23:12:51 | glossaries | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 219 | 2021-08-10 01:27:54 | glossaries | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 218 | 2021-06-02 16:24:20 | glossaries | 3 | 140603 | 26 | 5.983 | 23500.4 |
| 217 | 2021-06-02 09:57:14 | glossaries | 4 | 161450 | 146 | 14.483 | 11147.6 |
| 216 | 2021-05-08 03:54:13 | glossaries | 4 | 161450 | 146 | 10.906 | 14803.8 |
| 215 | 2021-05-07 19:13:52 | glossaries | 3 | 140603 | 26 | 5.483 | 25643.4 |
| 214 | 2021-04-21 08:36:26 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 213 | 2021-04-20 01:32:14 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 212 | 2021-04-16 01:42:10 | glossaries | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 211 | 2021-04-12 01:32:26 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 210 | 2021-04-08 01:41:31 | glossaries | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 209 | 2021-04-01 22:57:57 | glossaries | 4 | 161450 | 146 | 9.953 | 16221.2 |
| 208 | 2021-03-31 01:43:42 | glossaries | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 207 | 2021-03-27 08:06:43 | glossaries | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 206 | 2021-03-23 01:32:21 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 205 | 2021-03-18 03:14:51 | glossaries | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 204 | 2021-03-16 03:21:43 | glossaries | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 203 | 2021-03-15 02:10:11 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 202 | 2021-03-13 02:11:27 | glossaries | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 201 | 2021-03-11 02:10:34 | glossaries | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 200 | 2021-03-06 02:27:21 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 199 | 2021-03-04 02:44:24 | glossaries | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 198 | 2021-03-01 10:10:23 | glossaries | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 197 | 2021-03-01 02:34:38 | glossaries | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 196 | 2021-02-27 02:27:24 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 195 | 2021-02-24 15:16:36 | glossaries | 1 | 67641 | 1 | 0.986 | 68601.4 |
| 194 | 2021-02-22 06:02:35 | glossaries | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 193 | 2021-02-21 06:42:24 | glossaries | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 192 | 2021-02-20 06:43:10 | glossaries | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 191 | 2021-02-19 06:39:23 | glossaries | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 190 | 2021-02-09 02:22:48 | glossaries | 1 | 67641 | 1 | 1.403 | 48211.7 |
| 189 | 2021-02-08 03:15:30 | glossaries | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 188 | 2021-02-07 11:11:49 | glossaries | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 187 | 2021-02-02 12:49:35 | glossaries | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 186 | 2021-01-31 17:52:40 | glossaries | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 185 | 2021-01-31 01:19:05 | glossaries | 1 | 67641 | 1 | 0.950 | 71201.1 |
| 184 | 2021-01-28 15:59:45 | glossaries | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 183 | 2021-01-28 07:57:08 | glossaries | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 182 | 2021-01-28 00:01:00 | glossaries | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 181 | 2021-01-27 16:15:56 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 180 | 2021-01-25 04:07:49 | glossaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 179 | 2021-01-21 19:31:40 | glossaries | 4 | 161450 | 146 | 9.190 | 17568.0 |
| 178 | 2021-01-19 04:10:34 | glossaries | 1 | 67641 | 1 | 0.986 | 68601.4 |
| 177 | 2021-01-16 05:44:23 | glossaries | 1 | 67641 | 1 | 1.126 | 60071.9 |