History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"vaguenesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 336 | 2025-11-27 03:58:44 | vaguenesses | 3 | 121633 | 43 | 5.030 | 24181.5 |
| 335 | 2025-09-10 16:00:46 | vaguenesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 334 | 2025-09-04 07:04:28 | vaguenesses | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 333 | 2025-08-08 22:43:52 | vaguenesses | 1 | 49908 | 1 | 2.046 | 24393.0 |
| 332 | 2025-08-06 20:33:07 | vaguenesses | 2 | 86808 | 3 | 5.326 | 16298.9 |
| 331 | 2025-08-06 20:23:46 | vaguenesses | 3 | 121633 | 43 | 13.000 | 9356.4 |
| 330 | 2025-08-06 19:57:13 | vaguenesses | 4 | 148819 | 350 | 23.310 | 6384.3 |
| 329 | 2025-08-06 07:14:09 | vaguenesses | 2 | 86808 | 3 | 9.733 | 8918.9 |
| 328 | 2025-08-04 22:36:02 | vaguenesses | 3 | 121633 | 43 | 13.186 | 9224.4 |
| 327 | 2025-08-04 15:40:52 | vaguenesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 326 | 2025-08-04 10:33:07 | vaguenesses | 1 | 49908 | 1 | 2.046 | 24393.0 |
| 325 | 2025-08-02 08:20:04 | vaguenesses | 2 | 86808 | 3 | 4.766 | 18214.0 |
| 324 | 2025-07-31 17:27:29 | vaguenesses | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 323 | 2025-07-31 09:41:53 | vaguenesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 322 | 2025-07-31 07:47:59 | vaguenesses | 1 | 49908 | 1 | 3.610 | 13824.9 |
| 321 | 2025-07-27 00:25:37 | vaguenesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
| 320 | 2025-07-21 21:11:54 | vaguenesses | 1 | 49908 | 1 | 2.220 | 22481.1 |
| 319 | 2025-07-21 15:23:51 | vaguenesses | 1 | 49908 | 1 | 3.580 | 13940.8 |
| 318 | 2025-07-10 01:00:10 | vaguenesses | 1 | 49908 | 1 | 1.986 | 25129.9 |
| 317 | 2025-07-05 18:11:40 | vaguenesses | 2 | 86808 | 3 | 11.313 | 7673.3 |
| 316 | 2025-07-05 06:39:01 | vaguenesses | 3 | 121633 | 43 | 24.300 | 5005.5 |
| 315 | 2025-07-04 09:27:40 | vaguenesses | 1 | 49908 | 1 | 5.360 | 9311.2 |
| 314 | 2025-07-03 11:42:52 | vaguenesses | 4 | 148819 | 350 | 44.253 | 3362.9 |
| 313 | 2025-07-02 12:46:54 | vaguenesses | 1 | 49908 | 1 | 5.000 | 9981.6 |
| 312 | 2025-07-02 10:47:38 | vaguenesses | 4 | 148819 | 350 | 52.533 | 2832.9 |
| 311 | 2025-07-02 04:20:07 | vaguenesses | 4 | 148819 | 350 | 45.783 | 3250.5 |
| 310 | 2025-07-02 00:29:20 | vaguenesses | 4 | 148819 | 350 | 72.580 | 2050.4 |
| 309 | 2025-07-01 17:52:26 | vaguenesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 308 | 2025-07-01 07:15:28 | vaguenesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 307 | 2025-06-30 05:20:10 | vaguenesses | 4 | 148819 | 350 | 36.960 | 4026.5 |
| 306 | 2025-06-29 07:52:30 | vaguenesses | 2 | 86808 | 3 | 2.220 | 39102.7 |
| 305 | 2025-06-25 23:25:41 | vaguenesses | 1 | 49908 | 1 | 2.703 | 18463.9 |
| 304 | 2025-06-25 17:14:25 | vaguenesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 303 | 2025-06-20 22:18:33 | vaguenesses | 1 | 49908 | 1 | 4.063 | 12283.5 |
| 302 | 2025-06-18 10:24:14 | vaguenesses | 1 | 49908 | 1 | 3.560 | 14019.1 |
| 301 | 2025-06-15 06:19:31 | vaguenesses | 1 | 49908 | 1 | 4.156 | 12008.7 |
| 300 | 2025-06-14 16:39:11 | vaguenesses | 1 | 49908 | 1 | 4.186 | 11922.6 |
| 299 | 2025-06-12 08:17:00 | vaguenesses | 1 | 49908 | 1 | 3.690 | 13525.2 |
| 298 | 2025-06-12 00:45:16 | vaguenesses | 1 | 49908 | 1 | 5.686 | 8777.3 |
| 297 | 2025-06-05 10:51:31 | vaguenesses | 1 | 49908 | 1 | 5.296 | 9423.7 |
| 296 | 2025-05-30 07:31:34 | vaguenesses | 1 | 49908 | 1 | 5.970 | 8359.8 |
| 295 | 2025-05-24 07:45:25 | vaguenesses | 1 | 49908 | 1 | 2.170 | 22999.1 |
| 294 | 2025-05-21 13:25:19 | vaguenesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 293 | 2025-05-10 09:12:13 | vaguenesses | 1 | 49908 | 1 | 2.220 | 22481.1 |
| 292 | 2025-05-07 22:58:49 | vaguenesses | 1 | 49908 | 1 | 5.643 | 8844.2 |
| 291 | 2025-04-30 08:37:40 | vaguenesses | 1 | 49908 | 1 | 2.220 | 22481.1 |
| 290 | 2025-04-23 06:58:52 | vaguenesses | 1 | 49908 | 1 | 3.640 | 13711.0 |
| 289 | 2025-04-18 11:23:08 | vaguenesses | 1 | 49908 | 1 | 4.140 | 12055.1 |
| 288 | 2025-04-02 18:41:38 | vaguenesses | 4 | 148819 | 350 | 63.096 | 2358.6 |
| 287 | 2025-04-02 07:21:08 | vaguenesses | 1 | 49908 | 1 | 7.313 | 6824.6 |
| 286 | 2025-03-25 12:17:43 | vaguenesses | 4 | 148819 | 350 | 55.500 | 2681.4 |
| 285 | 2025-03-25 03:57:01 | vaguenesses | 4 | 148819 | 350 | 65.863 | 2259.5 |
| 284 | 2025-03-24 23:44:23 | vaguenesses | 4 | 148819 | 350 | 58.953 | 2524.4 |
| 283 | 2025-03-23 12:42:22 | vaguenesses | 4 | 148819 | 350 | 45.330 | 3283.0 |
| 282 | 2025-03-23 09:27:34 | vaguenesses | 1 | 49908 | 1 | 1.736 | 28748.8 |
| 281 | 2025-03-23 09:01:10 | vaguenesses | 1 | 49908 | 1 | 7.593 | 6572.9 |
| 280 | 2025-03-22 23:50:08 | vaguenesses | 1 | 49908 | 1 | 2.030 | 24585.2 |
| 279 | 2025-03-17 22:37:46 | vaguenesses | 1 | 49908 | 1 | 2.376 | 21005.1 |
| 278 | 2025-02-21 11:59:31 | vaguenesses | 3 | 121633 | 43 | 25.533 | 4763.8 |
| 277 | 2025-02-21 05:24:59 | vaguenesses | 2 | 86808 | 3 | 11.500 | 7548.5 |
| 276 | 2025-02-21 05:24:58 | vaguenesses | 3 | 121633 | 43 | 11.843 | 10270.5 |
| 275 | 2025-02-21 05:24:29 | vaguenesses | 1 | 49908 | 1 | 2.250 | 22181.3 |
| 274 | 2025-02-16 13:57:01 | vaguenesses | 3 | 121633 | 43 | 22.563 | 5390.8 |
| 273 | 2025-02-16 13:57:00 | vaguenesses | 2 | 86808 | 3 | 11.140 | 7792.5 |
| 272 | 2025-02-16 13:56:26 | vaguenesses | 1 | 49908 | 1 | 4.423 | 11283.7 |
| 271 | 2025-02-10 21:59:28 | vaguenesses | 4 | 148819 | 350 | 37.360 | 3983.4 |
| 270 | 2025-02-10 12:36:17 | vaguenesses | 4 | 148819 | 350 | 49.206 | 3024.4 |
| 269 | 2025-02-10 05:06:12 | vaguenesses | 4 | 148819 | 350 | 51.160 | 2908.9 |
| 268 | 2025-02-10 02:38:21 | vaguenesses | 4 | 148819 | 350 | 54.283 | 2741.5 |
| 267 | 2025-02-10 02:38:14 | vaguenesses | 3 | 121633 | 43 | 23.623 | 5148.9 |
| 266 | 2025-02-10 02:38:11 | vaguenesses | 2 | 86808 | 3 | 19.656 | 4416.4 |
| 265 | 2025-02-02 16:14:11 | vaguenesses | 1 | 49908 | 1 | 4.233 | 11790.2 |
| 264 | 2025-01-20 01:35:22 | vaguenesses | 2 | 86808 | 3 | 5.486 | 15823.6 |
| 263 | 2025-01-20 01:34:59 | vaguenesses | 1 | 49908 | 1 | 4.233 | 11790.2 |
| 262 | 2025-01-17 10:37:06 | vaguenesses | 2 | 86808 | 3 | 16.326 | 5317.2 |
| 261 | 2025-01-17 10:36:14 | vaguenesses | 1 | 49908 | 1 | 3.516 | 14194.5 |
| 260 | 2025-01-16 00:02:49 | vaguenesses | 4 | 148819 | 350 | 42.766 | 3479.8 |
| 259 | 2024-12-31 06:31:23 | vaguenesses | 1 | 49908 | 1 | 4.093 | 12193.5 |
| 258 | 2024-12-25 16:11:50 | vaguenesses | 3 | 121633 | 43 | 20.546 | 5920.0 |
| 257 | 2024-12-24 16:34:12 | vaguenesses | 4 | 148819 | 350 | 58.270 | 2554.0 |
| 256 | 2024-12-24 05:31:13 | vaguenesses | 3 | 121633 | 43 | 23.280 | 5224.8 |
| 255 | 2024-12-21 21:46:48 | vaguenesses | 3 | 121633 | 43 | 26.066 | 4666.3 |
| 254 | 2024-12-21 20:51:22 | vaguenesses | 4 | 148819 | 350 | 37.440 | 3974.9 |
| 253 | 2024-12-21 20:51:20 | vaguenesses | 3 | 121633 | 43 | 32.190 | 3778.6 |
| 252 | 2024-12-21 20:35:36 | vaguenesses | 4 | 148819 | 350 | 62.673 | 2374.5 |
| 251 | 2024-12-21 20:35:35 | vaguenesses | 3 | 121633 | 43 | 25.266 | 4814.1 |
| 250 | 2024-12-21 20:35:23 | vaguenesses | 2 | 86808 | 3 | 11.030 | 7870.2 |
| 249 | 2024-12-21 20:34:27 | vaguenesses | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 248 | 2024-12-06 04:07:20 | vaguenesses | 1 | 49908 | 1 | 1.906 | 26184.7 |
| 247 | 2024-11-21 10:51:05 | vaguenesses | 4 | 148819 | 350 | 51.846 | 2870.4 |
| 246 | 2024-11-21 10:51:07 | vaguenesses | 3 | 121633 | 43 | 18.826 | 6460.9 |
| 245 | 2024-11-21 10:51:08 | vaguenesses | 2 | 86808 | 3 | 10.940 | 7934.9 |
| 244 | 2024-11-21 10:49:01 | vaguenesses | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 243 | 2024-11-11 03:19:33 | vaguenesses | 3 | 121633 | 43 | 17.330 | 7018.6 |
| 242 | 2024-11-10 20:35:22 | vaguenesses | 1 | 49908 | 1 | 4.236 | 11781.9 |
| 241 | 2024-11-09 06:12:04 | vaguenesses | 3 | 121633 | 43 | 5.156 | 23590.6 |
| 240 | 2024-11-09 05:45:42 | vaguenesses | 1 | 49908 | 1 | 1.266 | 39421.8 |
| 239 | 2024-11-08 10:51:07 | vaguenesses | 4 | 148819 | 350 | 66.723 | 2230.4 |
| 238 | 2024-11-08 07:58:15 | vaguenesses | 4 | 148819 | 350 | 42.160 | 3529.9 |
| 237 | 2024-11-08 07:58:15 | vaguenesses | 3 | 121633 | 43 | 26.626 | 4568.2 |