History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"variability"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 234 | 2024-05-03 18:47:51 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 233 | 2024-05-03 12:02:56 | variability | 2 | 86808 | 6 | 2.016 | 43059.5 |
| 232 | 2024-05-03 07:10:00 | variability | 3 | 121633 | 49 | 6.923 | 17569.4 |
| 231 | 2024-05-01 21:48:59 | variability | 1 | 49908 | 1 | 1.326 | 37638.0 |
| 230 | 2024-04-30 14:11:45 | variability | 3 | 121633 | 49 | 12.483 | 9743.9 |
| 229 | 2024-04-30 14:11:41 | variability | 2 | 86808 | 6 | 5.016 | 17306.2 |
| 228 | 2024-04-30 12:49:08 | variability | 1 | 49908 | 1 | 0.856 | 58303.7 |
| 227 | 2024-04-16 23:03:27 | variability | 4 | 148819 | 159 | 21.436 | 6942.5 |
| 226 | 2024-04-16 18:04:51 | variability | 4 | 148819 | 159 | 23.706 | 6277.7 |
| 225 | 2024-04-16 13:05:14 | variability | 4 | 148819 | 159 | 36.630 | 4062.8 |
| 224 | 2024-04-15 15:44:10 | variability | 4 | 148819 | 159 | 18.190 | 8181.4 |
| 223 | 2024-04-15 15:44:09 | variability | 3 | 121633 | 49 | 12.470 | 9754.0 |
| 222 | 2024-04-15 15:44:08 | variability | 2 | 86808 | 6 | 8.546 | 10157.7 |
| 221 | 2024-04-15 15:40:58 | variability | 4 | 148819 | 159 | 27.503 | 5411.0 |
| 220 | 2024-04-15 15:40:58 | variability | 3 | 121633 | 49 | 16.720 | 7274.7 |
| 219 | 2024-04-15 15:40:53 | variability | 2 | 86808 | 6 | 9.796 | 8861.6 |
| 218 | 2024-04-15 15:38:19 | variability | 1 | 49908 | 1 | 1.640 | 30431.7 |
| 217 | 2024-04-15 15:37:14 | variability | 1 | 49908 | 1 | 0.856 | 58303.7 |
| 216 | 2024-04-14 06:15:46 | variability | 1 | 49908 | 1 | 2.846 | 17536.2 |
| 215 | 2024-03-20 19:27:30 | variability | 1 | 49908 | 1 | 1.046 | 47713.2 |
| 214 | 2024-03-17 00:22:08 | variability | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 213 | 2024-03-16 12:21:18 | variability | 4 | 148819 | 159 | 24.066 | 6183.8 |
| 212 | 2024-03-16 12:21:22 | variability | 3 | 121633 | 49 | 16.923 | 7187.4 |
| 211 | 2024-03-16 12:21:16 | variability | 2 | 86808 | 6 | 5.170 | 16790.7 |
| 210 | 2024-03-16 12:18:26 | variability | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 209 | 2024-03-13 14:29:22 | variability | 1 | 49908 | 1 | 2.813 | 17741.9 |
| 208 | 2024-03-10 04:26:26 | variability | 1 | 49908 | 1 | 1.936 | 25778.9 |
| 207 | 2024-03-10 04:25:30 | variability | 4 | 148819 | 159 | 20.406 | 7292.9 |
| 206 | 2024-03-10 04:25:31 | variability | 3 | 121633 | 49 | 13.800 | 8814.0 |
| 205 | 2024-03-10 04:25:35 | variability | 2 | 86808 | 6 | 5.596 | 15512.5 |
| 204 | 2024-03-10 04:25:35 | variability | 2 | 86808 | 6 | 5.643 | 15383.3 |
| 203 | 2024-03-10 04:25:20 | variability | 4 | 148819 | 159 | 13.876 | 10724.9 |
| 202 | 2024-03-10 04:25:20 | variability | 3 | 121633 | 49 | 11.236 | 10825.3 |
| 201 | 2024-03-10 04:25:19 | variability | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 200 | 2024-03-10 04:25:14 | variability | 1 | 49908 | 1 | 0.923 | 54071.5 |
| 199 | 2024-02-14 00:46:32 | variability | 2 | 86808 | 6 | 2.766 | 31383.9 |
| 198 | 2024-02-14 00:23:11 | variability | 3 | 121633 | 49 | 12.736 | 9550.3 |
| 197 | 2024-02-14 00:19:54 | variability | 1 | 49908 | 1 | 0.893 | 55888.0 |
| 196 | 2024-02-13 22:53:57 | variability | 4 | 148819 | 159 | 35.000 | 4252.0 |
| 195 | 2024-02-12 11:36:05 | variability | 4 | 148819 | 159 | 12.313 | 12086.3 |
| 194 | 2024-02-12 11:36:04 | variability | 3 | 121633 | 49 | 11.063 | 10994.6 |
| 193 | 2024-02-12 11:36:08 | variability | 2 | 86808 | 6 | 2.780 | 31225.9 |
| 192 | 2024-02-12 06:19:56 | variability | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 191 | 2024-02-10 19:30:46 | variability | 4 | 148819 | 159 | 11.046 | 13472.7 |
| 190 | 2024-02-10 19:30:47 | variability | 3 | 121633 | 49 | 6.250 | 19461.3 |
| 189 | 2024-02-10 19:30:48 | variability | 2 | 86808 | 6 | 2.813 | 30859.6 |
| 188 | 2024-02-10 18:12:53 | variability | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 187 | 2024-02-07 18:53:38 | variability | 4 | 148819 | 159 | 22.063 | 6745.2 |
| 186 | 2024-02-07 18:53:33 | variability | 3 | 121633 | 49 | 8.563 | 14204.5 |
| 185 | 2024-02-07 18:53:28 | variability | 2 | 86808 | 6 | 6.533 | 13287.6 |
| 184 | 2024-02-07 14:33:05 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 183 | 2024-02-07 14:31:39 | variability | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 182 | 2024-01-07 16:39:02 | variability | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 181 | 2023-12-28 23:42:33 | variability | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 180 | 2023-12-06 07:27:50 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 179 | 2023-12-02 22:58:54 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 178 | 2023-12-02 02:41:59 | variability | 1 | 49908 | 1 | 0.780 | 63984.6 |
| 177 | 2023-10-30 02:29:01 | variability | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 176 | 2023-10-20 07:30:57 | variability | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 175 | 2023-10-15 08:20:02 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 174 | 2023-09-16 19:56:31 | variability | 1 | 49908 | 1 | 0.783 | 63739.5 |
| 173 | 2023-08-23 15:42:34 | variability | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 172 | 2023-07-30 04:07:09 | variability | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 171 | 2023-05-24 17:05:36 | variability | 1 | 49908 | 1 | 0.703 | 70992.9 |
| 170 | 2023-04-07 04:55:53 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 169 | 2023-03-19 10:53:33 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 168 | 2023-01-06 16:10:47 | variability | 1 | 49908 | 1 | 0.703 | 70992.9 |
| 167 | 2022-12-15 03:06:32 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 166 | 2022-09-30 04:22:36 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 165 | 2022-09-17 12:04:45 | variability | 3 | 121633 | 49 | 5.000 | 24326.6 |
| 164 | 2022-09-16 14:00:42 | variability | 3 | 121633 | 49 | 4.796 | 25361.3 |
| 163 | 2022-08-11 17:41:07 | variability | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 162 | 2022-07-16 21:47:56 | variability | 3 | 121633 | 49 | 4.423 | 27500.1 |
| 161 | 2022-05-16 00:37:09 | variability | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 160 | 2022-05-13 20:23:43 | variability | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 159 | 2022-04-14 04:52:04 | variability | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 158 | 2022-01-26 07:01:18 | variability | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 157 | 2021-12-20 02:28:39 | variability | 1 | 49908 | 1 | 0.846 | 58992.9 |
| 156 | 2021-12-16 17:14:39 | variability | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 155 | 2021-09-09 15:03:52 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 154 | 2021-06-08 15:47:24 | variability | 1 | 49908 | 1 | 0.856 | 58303.7 |
| 153 | 2021-05-03 14:28:49 | variability | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 152 | 2021-03-06 09:58:53 | variability | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 151 | 2020-12-02 01:10:32 | variability | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 150 | 2020-11-22 02:12:16 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 149 | 2020-11-17 08:29:24 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 148 | 2020-11-17 00:48:41 | variability | 1 | 49908 | 1 | 1.530 | 32619.6 |
| 147 | 2020-10-28 06:38:12 | variability | 1 | 49908 | 1 | 0.783 | 63739.5 |
| 146 | 2020-08-27 22:25:21 | variability | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 145 | 2020-05-20 06:34:13 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 144 | 2020-03-27 07:27:28 | variability | 1 | 49908 | 1 | 1.673 | 29831.4 |
| 143 | 2020-03-02 10:36:52 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 142 | 2020-02-18 11:56:40 | variability | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 141 | 2020-02-17 07:29:34 | variability | 1 | 49908 | 1 | 0.703 | 70992.9 |
| 140 | 2020-02-12 23:15:24 | variability | 1 | 49908 | 1 | 2.296 | 21736.9 |
| 139 | 2020-02-12 05:37:00 | variability | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 138 | 2020-02-11 15:28:16 | variability | 1 | 49908 | 1 | 1.766 | 28260.5 |
| 137 | 2020-02-03 09:48:50 | variability | 1 | 49908 | 1 | 1.763 | 28308.6 |
| 136 | 2020-01-31 14:15:22 | variability | 1 | 49908 | 1 | 0.920 | 54247.8 |
| 135 | 2020-01-22 11:52:18 | variability | 1 | 49908 | 1 | 0.953 | 52369.4 |