History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cavaliered"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 256 | 2025-09-18 08:05:16 | cavaliered | 2 | 108824 | 6 | 3.140 | 34657.3 |
| 255 | 2025-08-19 03:23:43 | cavaliered | 2 | 108824 | 6 | 8.046 | 13525.2 |
| 254 | 2025-08-17 20:10:30 | cavaliered | 4 | 161450 | 126 | 27.326 | 5908.3 |
| 253 | 2025-08-10 15:38:34 | cavaliered | 4 | 161450 | 126 | 26.876 | 6007.2 |
| 252 | 2025-08-10 13:55:28 | cavaliered | 3 | 140603 | 21 | 13.670 | 10285.5 |
| 251 | 2025-08-09 23:40:51 | cavaliered | 2 | 108824 | 6 | 12.360 | 8804.5 |
| 250 | 2025-08-09 09:31:18 | cavaliered | 1 | 67641 | 1 | 2.936 | 23038.5 |
| 249 | 2025-07-31 19:34:23 | cavaliered | 1 | 67641 | 1 | 3.580 | 18894.1 |
| 248 | 2025-07-28 09:37:09 | cavaliered | 3 | 140603 | 21 | 24.986 | 5627.3 |
| 247 | 2025-07-16 12:51:11 | cavaliered | 1 | 67641 | 1 | 3.906 | 17317.2 |
| 246 | 2025-07-15 05:15:50 | cavaliered | 2 | 108824 | 6 | 11.906 | 9140.3 |
| 245 | 2025-07-15 05:11:02 | cavaliered | 3 | 140603 | 21 | 36.690 | 3832.2 |
| 244 | 2025-07-15 04:56:54 | cavaliered | 2 | 108824 | 6 | 12.690 | 8575.6 |
| 243 | 2025-07-13 10:09:15 | cavaliered | 4 | 161450 | 126 | 11.220 | 14389.5 |
| 242 | 2025-07-13 06:48:56 | cavaliered | 1 | 67641 | 1 | 6.076 | 11132.5 |
| 241 | 2025-07-13 03:57:59 | cavaliered | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 240 | 2025-07-12 00:43:16 | cavaliered | 4 | 161450 | 126 | 12.796 | 12617.2 |
| 239 | 2025-07-11 23:11:22 | cavaliered | 3 | 140603 | 21 | 7.050 | 19943.7 |
| 238 | 2025-07-07 01:08:33 | cavaliered | 3 | 140603 | 21 | 35.343 | 3978.2 |
| 237 | 2025-07-05 16:26:50 | cavaliered | 4 | 161450 | 126 | 52.486 | 3076.1 |
| 236 | 2025-07-05 14:59:06 | cavaliered | 4 | 161450 | 126 | 52.923 | 3050.7 |
| 235 | 2025-07-03 15:48:16 | cavaliered | 4 | 161450 | 126 | 53.393 | 3023.8 |
| 234 | 2025-07-03 11:23:22 | cavaliered | 2 | 108824 | 6 | 15.456 | 7040.9 |
| 233 | 2025-07-01 18:55:02 | cavaliered | 1 | 67641 | 1 | 1.050 | 64420.0 |
| 232 | 2025-06-30 16:23:11 | cavaliered | 1 | 67641 | 1 | 3.406 | 19859.4 |
| 231 | 2025-06-30 12:15:10 | cavaliered | 1 | 67641 | 1 | 5.453 | 12404.4 |
| 230 | 2025-05-28 20:50:19 | cavaliered | 1 | 67641 | 1 | 2.953 | 22905.9 |
| 229 | 2025-05-23 18:23:31 | cavaliered | 2 | 108824 | 6 | 7.423 | 14660.4 |
| 228 | 2025-05-10 07:05:52 | cavaliered | 1 | 67641 | 1 | 4.080 | 16578.7 |
| 227 | 2025-05-09 13:21:57 | cavaliered | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 226 | 2025-05-09 09:59:48 | cavaliered | 2 | 108824 | 6 | 5.376 | 20242.6 |
| 225 | 2025-05-09 00:08:48 | cavaliered | 3 | 140603 | 21 | 18.860 | 7455.1 |
| 224 | 2025-05-08 21:20:21 | cavaliered | 3 | 140603 | 21 | 21.093 | 6665.9 |
| 223 | 2025-05-08 20:30:14 | cavaliered | 3 | 140603 | 21 | 29.953 | 4694.1 |
| 222 | 2025-05-07 19:11:42 | cavaliered | 1 | 67641 | 1 | 5.280 | 12810.8 |
| 221 | 2025-05-05 08:11:29 | cavaliered | 4 | 161450 | 126 | 11.703 | 13795.6 |
| 220 | 2025-05-04 11:41:15 | cavaliered | 2 | 108824 | 6 | 15.846 | 6867.6 |
| 219 | 2025-05-03 16:29:55 | cavaliered | 3 | 140603 | 21 | 6.826 | 20598.2 |
| 218 | 2025-05-02 11:05:57 | cavaliered | 1 | 67641 | 1 | 7.233 | 9351.7 |
| 217 | 2025-05-01 04:15:05 | cavaliered | 3 | 140603 | 21 | 33.610 | 4183.4 |
| 216 | 2025-04-27 05:59:00 | cavaliered | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 215 | 2025-04-23 01:48:24 | cavaliered | 1 | 67641 | 1 | 3.266 | 20710.7 |
| 214 | 2025-04-20 14:29:33 | cavaliered | 4 | 161450 | 126 | 39.863 | 4050.1 |
| 213 | 2025-04-12 09:06:54 | cavaliered | 4 | 161450 | 126 | 37.616 | 4292.1 |
| 212 | 2025-04-12 06:18:19 | cavaliered | 4 | 161450 | 126 | 62.350 | 2589.4 |
| 211 | 2025-04-09 11:35:58 | cavaliered | 4 | 161450 | 126 | 58.176 | 2775.2 |
| 210 | 2025-04-08 21:34:16 | cavaliered | 4 | 161450 | 126 | 58.560 | 2757.0 |
| 209 | 2025-04-06 16:49:29 | cavaliered | 4 | 161450 | 126 | 56.520 | 2856.5 |
| 208 | 2025-04-04 22:12:26 | cavaliered | 2 | 108824 | 6 | 7.993 | 13614.9 |
| 207 | 2025-03-30 08:16:41 | cavaliered | 3 | 140603 | 21 | 16.146 | 8708.2 |
| 206 | 2025-03-29 06:58:38 | cavaliered | 1 | 67641 | 1 | 6.123 | 11047.0 |
| 205 | 2025-03-24 08:47:37 | cavaliered | 1 | 67641 | 1 | 2.876 | 23519.1 |
| 204 | 2025-03-22 20:56:21 | cavaliered | 1 | 67641 | 1 | 4.356 | 15528.2 |
| 203 | 2025-03-20 01:58:59 | cavaliered | 3 | 140603 | 21 | 32.503 | 4325.8 |
| 202 | 2025-03-18 07:04:50 | cavaliered | 1 | 67641 | 1 | 6.686 | 10116.8 |
| 201 | 2025-03-15 12:05:52 | cavaliered | 3 | 140603 | 21 | 29.393 | 4783.6 |
| 200 | 2025-03-14 07:47:39 | cavaliered | 3 | 140603 | 21 | 34.830 | 4036.8 |
| 199 | 2025-03-11 05:30:37 | cavaliered | 1 | 67641 | 1 | 3.140 | 21541.7 |
| 198 | 2025-02-22 16:31:55 | cavaliered | 1 | 67641 | 1 | 6.063 | 11156.4 |
| 197 | 2025-02-12 22:02:46 | cavaliered | 3 | 140603 | 21 | 26.486 | 5308.6 |
| 196 | 2025-02-07 05:47:37 | cavaliered | 3 | 140603 | 21 | 107.693 | 1305.6 |
| 195 | 2025-02-07 04:47:10 | cavaliered | 1 | 67641 | 1 | 2.856 | 23683.8 |
| 194 | 2025-02-05 12:21:58 | cavaliered | 3 | 140603 | 21 | 26.533 | 5299.2 |
| 193 | 2025-01-12 01:03:52 | cavaliered | 1 | 67641 | 1 | 6.936 | 9752.2 |
| 192 | 2024-12-28 16:03:50 | cavaliered | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 191 | 2024-12-27 17:46:17 | cavaliered | 1 | 67641 | 1 | 6.063 | 11156.4 |
| 190 | 2024-12-23 05:56:34 | cavaliered | 3 | 140603 | 21 | 47.750 | 2944.6 |
| 189 | 2024-12-19 19:37:23 | cavaliered | 3 | 140603 | 21 | 35.410 | 3970.7 |
| 188 | 2024-12-19 19:37:37 | cavaliered | 2 | 108824 | 6 | 19.796 | 5497.3 |
| 187 | 2024-12-19 19:03:34 | cavaliered | 1 | 67641 | 1 | 4.923 | 13739.8 |
| 186 | 2024-12-05 10:06:50 | cavaliered | 2 | 108824 | 6 | 16.000 | 6801.5 |
| 185 | 2024-12-05 10:04:39 | cavaliered | 1 | 67641 | 1 | 7.516 | 8999.6 |
| 184 | 2024-12-04 07:16:51 | cavaliered | 3 | 140603 | 21 | 30.156 | 4662.5 |
| 183 | 2024-12-04 07:16:52 | cavaliered | 2 | 108824 | 6 | 17.626 | 6174.1 |
| 182 | 2024-12-04 07:16:18 | cavaliered | 3 | 140603 | 21 | 30.346 | 4633.3 |
| 181 | 2024-11-27 15:12:50 | cavaliered | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 180 | 2024-11-17 05:01:20 | cavaliered | 2 | 108824 | 6 | 15.500 | 7020.9 |
| 179 | 2024-11-17 05:00:39 | cavaliered | 3 | 140603 | 21 | 36.503 | 3851.8 |
| 178 | 2024-11-17 04:59:30 | cavaliered | 1 | 67641 | 1 | 1.906 | 35488.5 |
| 177 | 2024-11-16 14:55:03 | cavaliered | 3 | 140603 | 21 | 29.453 | 4773.8 |
| 176 | 2024-11-14 02:18:14 | cavaliered | 3 | 140603 | 21 | 42.146 | 3336.1 |
| 175 | 2024-10-28 02:17:37 | cavaliered | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 174 | 2024-10-27 07:40:27 | cavaliered | 1 | 67641 | 1 | 5.843 | 11576.4 |
| 173 | 2024-10-27 00:41:40 | cavaliered | 3 | 140603 | 21 | 26.203 | 5365.9 |
| 172 | 2024-10-26 12:27:47 | cavaliered | 3 | 140603 | 21 | 31.300 | 4492.1 |
| 171 | 2024-10-12 04:53:54 | cavaliered | 3 | 140603 | 21 | 29.643 | 4743.2 |
| 170 | 2024-09-26 17:21:09 | cavaliered | 3 | 140603 | 21 | 34.053 | 4128.9 |
| 169 | 2024-09-26 17:19:20 | cavaliered | 2 | 108824 | 6 | 22.936 | 4744.7 |
| 168 | 2024-09-21 23:31:53 | cavaliered | 1 | 67641 | 1 | 4.486 | 15078.2 |
| 167 | 2024-09-20 05:52:50 | cavaliered | 2 | 108824 | 6 | 24.330 | 4472.8 |
| 166 | 2024-09-19 13:09:47 | cavaliered | 2 | 108824 | 6 | 36.126 | 3012.3 |
| 165 | 2024-09-19 13:01:20 | cavaliered | 1 | 67641 | 1 | 7.283 | 9287.5 |
| 164 | 2024-09-17 07:08:02 | cavaliered | 1 | 67641 | 1 | 10.393 | 6508.3 |
| 163 | 2024-09-16 23:20:22 | cavaliered | 3 | 140603 | 21 | 39.160 | 3590.5 |
| 162 | 2024-09-11 08:57:52 | cavaliered | 3 | 140603 | 21 | 73.630 | 1909.6 |
| 161 | 2024-08-10 14:43:26 | cavaliered | 3 | 140603 | 21 | 28.080 | 5007.2 |
| 160 | 2024-07-31 04:29:58 | cavaliered | 1 | 67641 | 1 | 2.123 | 31861.0 |
| 159 | 2024-07-29 10:10:51 | cavaliered | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 158 | 2024-07-28 00:50:37 | cavaliered | 1 | 67641 | 1 | 2.206 | 30662.3 |
| 157 | 2024-07-22 16:12:51 | cavaliered | 1 | 67641 | 1 | 2.266 | 29850.4 |