History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"deadnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 263 | 2024-04-18 20:23:33 | deadnesses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 262 | 2024-04-14 13:35:23 | deadnesses | 1 | 67641 | 3 | 3.420 | 19778.1 |
| 261 | 2024-04-11 18:34:11 | deadnesses | 3 | 140603 | 145 | 9.450 | 14878.6 |
| 260 | 2024-04-09 00:34:59 | deadnesses | 3 | 140603 | 145 | 7.890 | 17820.4 |
| 259 | 2024-04-07 18:39:24 | deadnesses | 1 | 67641 | 3 | 1.440 | 46972.9 |
| 258 | 2024-04-03 15:23:01 | deadnesses | 2 | 108824 | 26 | 4.800 | 22671.7 |
| 257 | 2024-03-28 22:51:43 | deadnesses | 1 | 67641 | 3 | 6.576 | 10286.0 |
| 256 | 2024-03-23 16:39:12 | deadnesses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 255 | 2024-03-21 07:01:42 | deadnesses | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 254 | 2024-03-19 23:35:22 | deadnesses | 1 | 67641 | 3 | 2.500 | 27056.4 |
| 253 | 2024-03-17 23:08:20 | deadnesses | 1 | 67641 | 3 | 1.343 | 50365.6 |
| 252 | 2024-03-11 03:34:31 | deadnesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 251 | 2024-03-05 16:28:10 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 250 | 2024-02-22 19:00:53 | deadnesses | 3 | 140603 | 145 | 6.906 | 20359.5 |
| 249 | 2024-02-22 19:00:51 | deadnesses | 2 | 108824 | 26 | 3.360 | 32388.1 |
| 248 | 2024-02-22 09:52:16 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 247 | 2024-02-15 18:34:33 | deadnesses | 3 | 140603 | 145 | 22.313 | 6301.4 |
| 246 | 2024-02-13 16:55:39 | deadnesses | 3 | 140603 | 145 | 15.766 | 8918.1 |
| 245 | 2024-02-13 16:55:47 | deadnesses | 2 | 108824 | 26 | 7.140 | 15241.5 |
| 244 | 2024-02-13 16:43:47 | deadnesses | 1 | 67641 | 3 | 2.593 | 26086.0 |
| 243 | 2024-02-12 16:05:37 | deadnesses | 3 | 140603 | 145 | 15.860 | 8865.3 |
| 242 | 2024-02-12 16:05:34 | deadnesses | 2 | 108824 | 26 | 5.953 | 18280.5 |
| 241 | 2024-02-12 16:05:24 | deadnesses | 1 | 67641 | 3 | 1.313 | 51516.4 |
| 240 | 2024-02-10 22:20:58 | deadnesses | 3 | 140603 | 145 | 21.563 | 6520.6 |
| 239 | 2024-02-10 22:20:56 | deadnesses | 2 | 108824 | 26 | 9.953 | 10933.8 |
| 238 | 2024-02-10 22:19:49 | deadnesses | 1 | 67641 | 3 | 2.013 | 33602.1 |
| 237 | 2024-02-10 01:12:29 | deadnesses | 1 | 67641 | 3 | 2.563 | 26391.3 |
| 236 | 2024-01-31 03:19:07 | deadnesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 235 | 2024-01-23 06:14:03 | deadnesses | 1 | 67641 | 3 | 2.500 | 27056.4 |
| 234 | 2023-12-22 09:49:27 | deadnesses | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 233 | 2023-12-15 15:57:46 | deadnesses | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 232 | 2023-12-10 09:27:25 | deadnesses | 3 | 140603 | 145 | 5.530 | 25425.5 |
| 231 | 2023-12-04 04:39:30 | deadnesses | 3 | 140603 | 145 | 6.593 | 21326.1 |
| 230 | 2023-12-04 04:39:33 | deadnesses | 2 | 108824 | 26 | 3.390 | 32101.5 |
| 229 | 2023-12-04 01:25:48 | deadnesses | 2 | 108824 | 26 | 3.236 | 33629.2 |
| 228 | 2023-11-28 06:01:49 | deadnesses | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 227 | 2023-11-10 07:17:51 | deadnesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 226 | 2023-10-26 22:48:01 | deadnesses | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 225 | 2023-10-13 06:11:40 | deadnesses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 224 | 2023-10-08 21:20:58 | deadnesses | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 223 | 2023-09-16 20:22:41 | deadnesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 222 | 2023-09-09 10:00:44 | deadnesses | 3 | 140603 | 145 | 5.706 | 24641.3 |
| 221 | 2023-09-02 01:34:30 | deadnesses | 2 | 108824 | 26 | 3.060 | 35563.4 |
| 220 | 2023-08-26 05:40:32 | deadnesses | 1 | 67641 | 3 | 1.283 | 52721.0 |
| 219 | 2023-08-22 17:44:01 | deadnesses | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 218 | 2023-08-05 23:52:49 | deadnesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 217 | 2023-05-29 12:57:39 | deadnesses | 3 | 140603 | 145 | 5.686 | 24727.9 |
| 216 | 2023-05-21 16:46:56 | deadnesses | 2 | 108824 | 26 | 2.656 | 40972.9 |
| 215 | 2023-05-05 10:04:14 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 214 | 2023-05-02 21:23:43 | deadnesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 213 | 2023-03-05 14:17:59 | deadnesses | 3 | 140603 | 145 | 6.626 | 21219.9 |
| 212 | 2023-02-26 04:09:20 | deadnesses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 211 | 2023-01-27 05:17:58 | deadnesses | 1 | 67641 | 3 | 2.266 | 29850.4 |
| 210 | 2023-01-19 08:30:20 | deadnesses | 1 | 67641 | 3 | 1.013 | 66773.0 |
| 209 | 2022-12-23 19:29:26 | deadnesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 208 | 2022-12-12 17:36:23 | deadnesses | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 207 | 2022-12-12 11:52:09 | deadnesses | 3 | 140603 | 145 | 5.436 | 25865.2 |
| 206 | 2022-12-10 05:34:17 | deadnesses | 2 | 108824 | 26 | 2.990 | 36396.0 |
| 205 | 2022-12-03 02:15:46 | deadnesses | 3 | 140603 | 145 | 6.296 | 22332.1 |
| 204 | 2022-11-16 13:35:32 | deadnesses | 1 | 67641 | 3 | 1.296 | 52192.1 |
| 203 | 2022-11-07 16:12:54 | deadnesses | 3 | 140603 | 145 | 5.686 | 24727.9 |
| 202 | 2022-11-01 03:30:50 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 201 | 2022-09-28 00:06:53 | deadnesses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 200 | 2022-09-24 05:44:57 | deadnesses | 3 | 140603 | 145 | 6.420 | 21900.8 |
| 199 | 2022-09-06 21:57:26 | deadnesses | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 198 | 2022-09-04 18:36:59 | deadnesses | 1 | 67641 | 3 | 1.013 | 66773.0 |
| 197 | 2022-09-03 09:34:17 | deadnesses | 3 | 140603 | 145 | 5.516 | 25490.0 |
| 196 | 2022-09-01 12:16:13 | deadnesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 195 | 2022-07-29 00:31:25 | deadnesses | 3 | 140603 | 145 | 5.483 | 25643.4 |
| 194 | 2022-07-28 07:48:13 | deadnesses | 2 | 108824 | 26 | 2.703 | 40260.5 |
| 193 | 2022-07-26 01:11:40 | deadnesses | 2 | 108824 | 26 | 2.700 | 40305.2 |
| 192 | 2022-05-31 17:16:24 | deadnesses | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 191 | 2022-04-28 23:32:53 | deadnesses | 1 | 67641 | 3 | 1.343 | 50365.6 |
| 190 | 2022-04-01 11:02:54 | deadnesses | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 189 | 2022-03-05 17:52:40 | deadnesses | 2 | 108824 | 26 | 3.266 | 33320.3 |
| 188 | 2022-03-03 15:03:00 | deadnesses | 2 | 108824 | 26 | 2.810 | 38727.4 |
| 187 | 2022-02-06 17:21:28 | deadnesses | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 186 | 2022-01-03 02:55:02 | deadnesses | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 185 | 2021-12-31 23:04:08 | deadnesses | 1 | 67641 | 3 | 1.486 | 45518.8 |
| 184 | 2021-11-23 06:26:17 | deadnesses | 2 | 108824 | 26 | 3.126 | 34812.5 |
| 183 | 2021-11-21 05:42:22 | deadnesses | 2 | 108824 | 26 | 3.220 | 33796.3 |
| 182 | 2021-11-03 11:00:51 | deadnesses | 1 | 67641 | 3 | 1.060 | 63812.3 |
| 181 | 2021-10-23 14:16:19 | deadnesses | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 180 | 2021-10-02 17:40:15 | deadnesses | 2 | 108824 | 26 | 2.860 | 38050.3 |
| 179 | 2021-09-23 00:17:27 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 178 | 2021-08-25 15:34:44 | deadnesses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 177 | 2021-08-23 11:27:56 | deadnesses | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 176 | 2021-07-28 20:44:11 | deadnesses | 1 | 67641 | 3 | 1.013 | 66773.0 |
| 175 | 2021-07-16 05:45:32 | deadnesses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 174 | 2021-06-12 11:53:33 | deadnesses | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 173 | 2021-05-28 09:47:15 | deadnesses | 1 | 67641 | 3 | 1.216 | 55625.8 |
| 172 | 2021-05-19 21:46:36 | deadnesses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 171 | 2021-05-03 02:47:22 | deadnesses | 1 | 67641 | 3 | 2.516 | 26884.3 |
| 170 | 2021-04-20 00:28:31 | deadnesses | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 169 | 2021-04-18 15:24:32 | deadnesses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 168 | 2021-04-13 11:01:01 | deadnesses | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 167 | 2021-04-06 18:03:13 | deadnesses | 1 | 67641 | 3 | 2.390 | 28301.7 |
| 166 | 2021-01-03 08:19:11 | deadnesses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 165 | 2020-12-27 04:13:49 | deadnesses | 1 | 67641 | 3 | 2.173 | 31127.9 |
| 164 | 2020-11-12 19:49:35 | deadnesses | 1 | 67641 | 3 | 1.046 | 64666.3 |