History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"parametric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 350 | 2025-11-16 00:12:53 | parametric | 2 | 108824 | 6 | 6.923 | 15719.2 |
| 349 | 2025-11-14 07:13:59 | parametric | 2 | 108824 | 6 | 5.250 | 20728.4 |
| 348 | 2025-11-13 23:46:42 | parametric | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 347 | 2025-11-12 09:16:57 | parametric | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 346 | 2025-11-07 15:13:09 | parametric | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 345 | 2025-11-07 06:28:42 | parametric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 344 | 2025-11-05 06:58:24 | parametric | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 343 | 2025-11-01 10:46:34 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 342 | 2025-10-23 15:43:00 | parametric | 1 | 67641 | 1 | 5.906 | 11452.9 |
| 341 | 2025-10-21 20:28:09 | parametric | 3 | 140603 | 28 | 34.910 | 4027.6 |
| 340 | 2025-10-12 22:36:51 | parametric | 2 | 108824 | 6 | 2.876 | 37838.7 |
| 339 | 2025-10-12 09:58:06 | parametric | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 338 | 2025-10-11 23:43:30 | parametric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 337 | 2025-10-11 17:45:19 | parametric | 1 | 67641 | 1 | 1.263 | 53555.8 |
| 336 | 2025-10-10 08:40:11 | parametric | 3 | 140603 | 28 | 6.530 | 21531.9 |
| 335 | 2025-10-03 21:59:43 | parametric | 3 | 140603 | 28 | 5.940 | 23670.5 |
| 334 | 2025-10-03 04:01:53 | parametric | 3 | 140603 | 28 | 5.766 | 24384.8 |
| 333 | 2025-09-29 11:33:18 | parametric | 4 | 161450 | 130 | 11.033 | 14633.4 |
| 332 | 2025-09-29 08:11:59 | parametric | 2 | 108824 | 6 | 3.000 | 36274.7 |
| 331 | 2025-09-29 06:25:32 | parametric | 4 | 161450 | 130 | 10.436 | 15470.5 |
| 330 | 2025-09-28 15:33:47 | parametric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 329 | 2025-09-27 04:27:56 | parametric | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 328 | 2025-09-26 09:01:22 | parametric | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 327 | 2025-09-20 15:45:25 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 326 | 2025-09-18 01:58:34 | parametric | 4 | 161450 | 130 | 12.110 | 13332.0 |
| 325 | 2025-09-17 13:33:04 | parametric | 4 | 161450 | 130 | 10.720 | 15060.6 |
| 324 | 2025-09-14 02:43:12 | parametric | 1 | 67641 | 1 | 1.153 | 58665.2 |
| 323 | 2025-09-13 02:15:14 | parametric | 3 | 140603 | 28 | 5.750 | 24452.7 |
| 322 | 2025-09-11 20:41:36 | parametric | 4 | 161450 | 130 | 11.580 | 13942.1 |
| 321 | 2025-09-09 10:02:19 | parametric | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 320 | 2025-09-09 05:55:43 | parametric | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 319 | 2025-09-09 00:44:20 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 318 | 2025-09-07 01:34:11 | parametric | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 317 | 2025-09-06 22:55:32 | parametric | 4 | 161450 | 130 | 11.080 | 14571.3 |
| 316 | 2025-09-06 05:35:59 | parametric | 2 | 108824 | 6 | 3.123 | 34846.0 |
| 315 | 2025-08-31 14:47:19 | parametric | 4 | 161450 | 130 | 10.330 | 15629.2 |
| 314 | 2025-08-28 20:26:39 | parametric | 4 | 161450 | 130 | 15.126 | 10673.7 |
| 313 | 2025-08-28 17:42:39 | parametric | 4 | 161450 | 130 | 11.233 | 14372.8 |
| 312 | 2025-08-28 17:12:26 | parametric | 2 | 108824 | 6 | 4.220 | 25787.7 |
| 311 | 2025-08-28 10:51:21 | parametric | 4 | 161450 | 130 | 10.440 | 15464.6 |
| 310 | 2025-08-27 21:01:47 | parametric | 2 | 108824 | 6 | 3.140 | 34657.3 |
| 309 | 2025-08-27 08:03:30 | parametric | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 308 | 2025-08-27 04:04:38 | parametric | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 307 | 2025-08-15 07:01:37 | parametric | 3 | 140603 | 28 | 16.936 | 8302.0 |
| 306 | 2025-08-10 23:04:27 | parametric | 1 | 67641 | 1 | 3.016 | 22427.4 |
| 305 | 2025-08-10 12:58:35 | parametric | 3 | 140603 | 28 | 14.970 | 9392.3 |
| 304 | 2025-08-09 10:23:03 | parametric | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 303 | 2025-08-07 18:36:33 | parametric | 1 | 67641 | 1 | 4.220 | 16028.7 |
| 302 | 2025-08-01 12:04:39 | parametric | 3 | 140603 | 28 | 32.486 | 4328.1 |
| 301 | 2025-07-27 20:58:56 | parametric | 3 | 140603 | 28 | 16.606 | 8467.0 |
| 300 | 2025-07-26 14:19:23 | parametric | 1 | 67641 | 1 | 4.626 | 14621.9 |
| 299 | 2025-07-25 05:16:56 | parametric | 1 | 67641 | 1 | 3.953 | 17111.3 |
| 298 | 2025-07-13 07:27:37 | parametric | 1 | 67641 | 1 | 2.343 | 28869.4 |
| 297 | 2025-07-10 04:19:10 | parametric | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 296 | 2025-07-07 15:38:36 | parametric | 1 | 67641 | 1 | 5.140 | 13159.7 |
| 295 | 2025-07-07 10:14:14 | parametric | 1 | 67641 | 1 | 3.093 | 21869.1 |
| 294 | 2025-06-22 08:38:16 | parametric | 1 | 67641 | 1 | 5.140 | 13159.7 |
| 293 | 2025-06-04 00:17:04 | parametric | 1 | 67641 | 1 | 5.763 | 11737.1 |
| 292 | 2025-05-31 09:50:13 | parametric | 1 | 67641 | 1 | 8.343 | 8107.5 |
| 291 | 2025-05-12 04:51:12 | parametric | 1 | 67641 | 1 | 8.656 | 7814.3 |
| 290 | 2025-05-08 14:58:50 | parametric | 1 | 67641 | 1 | 5.670 | 11929.6 |
| 289 | 2025-05-04 01:28:58 | parametric | 1 | 67641 | 1 | 2.830 | 23901.4 |
| 288 | 2025-04-25 09:55:39 | parametric | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 287 | 2025-04-06 14:41:47 | parametric | 1 | 67641 | 1 | 5.673 | 11923.3 |
| 286 | 2025-04-06 04:06:11 | parametric | 1 | 67641 | 1 | 4.326 | 15635.9 |
| 285 | 2025-03-23 09:50:06 | parametric | 2 | 108824 | 6 | 14.500 | 7505.1 |
| 284 | 2025-03-22 11:46:12 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 283 | 2025-03-02 16:06:56 | parametric | 1 | 67641 | 1 | 5.596 | 12087.4 |
| 282 | 2025-02-28 15:21:29 | parametric | 3 | 140603 | 28 | 34.026 | 4132.2 |
| 281 | 2025-02-21 00:56:45 | parametric | 3 | 140603 | 28 | 23.343 | 6023.3 |
| 280 | 2025-02-20 05:56:12 | parametric | 1 | 67641 | 1 | 3.830 | 17660.8 |
| 279 | 2025-01-29 01:45:03 | parametric | 2 | 108824 | 6 | 16.096 | 6760.9 |
| 278 | 2025-01-29 01:44:48 | parametric | 1 | 67641 | 1 | 5.750 | 11763.7 |
| 277 | 2025-01-22 12:51:54 | parametric | 2 | 108824 | 6 | 16.140 | 6742.5 |
| 276 | 2025-01-22 12:47:01 | parametric | 1 | 67641 | 1 | 2.940 | 23007.1 |
| 275 | 2025-01-21 12:53:51 | parametric | 3 | 140603 | 28 | 32.956 | 4266.4 |
| 274 | 2025-01-17 08:32:15 | parametric | 1 | 67641 | 1 | 4.626 | 14621.9 |
| 273 | 2025-01-12 23:35:53 | parametric | 3 | 140603 | 28 | 36.253 | 3878.4 |
| 272 | 2025-01-12 23:35:50 | parametric | 3 | 140603 | 28 | 26.516 | 5302.6 |
| 271 | 2025-01-12 18:58:51 | parametric | 4 | 161450 | 130 | 73.536 | 2195.5 |
| 270 | 2025-01-12 18:58:53 | parametric | 3 | 140603 | 28 | 31.986 | 4395.8 |
| 269 | 2025-01-12 13:34:01 | parametric | 3 | 140603 | 28 | 25.363 | 5543.6 |
| 268 | 2025-01-12 06:56:11 | parametric | 4 | 161450 | 130 | 76.550 | 2109.1 |
| 267 | 2025-01-12 06:56:11 | parametric | 3 | 140603 | 28 | 47.283 | 2973.6 |
| 266 | 2025-01-12 06:56:19 | parametric | 2 | 108824 | 6 | 24.126 | 4510.7 |
| 265 | 2025-01-12 06:07:41 | parametric | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 264 | 2024-12-23 19:49:11 | parametric | 2 | 108824 | 6 | 8.186 | 13293.9 |
| 263 | 2024-12-22 16:19:30 | parametric | 1 | 67641 | 1 | 3.203 | 21118.0 |
| 262 | 2024-12-16 15:03:53 | parametric | 2 | 108824 | 6 | 15.953 | 6821.5 |
| 261 | 2024-12-13 11:16:18 | parametric | 4 | 161450 | 130 | 69.676 | 2317.2 |
| 260 | 2024-12-12 12:41:47 | parametric | 4 | 161450 | 130 | 68.130 | 2369.7 |
| 259 | 2024-12-12 12:35:18 | parametric | 1 | 67641 | 1 | 4.373 | 15467.9 |
| 258 | 2024-12-12 12:31:26 | parametric | 2 | 108824 | 6 | 15.670 | 6944.7 |
| 257 | 2024-12-11 16:05:23 | parametric | 3 | 140603 | 28 | 27.613 | 5091.9 |
| 256 | 2024-12-09 18:27:12 | parametric | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 255 | 2024-12-09 11:30:01 | parametric | 3 | 140603 | 28 | 42.703 | 3292.6 |
| 254 | 2024-12-08 06:17:58 | parametric | 3 | 140603 | 28 | 19.110 | 7357.6 |
| 253 | 2024-12-08 06:18:05 | parametric | 2 | 108824 | 6 | 8.016 | 13575.8 |
| 252 | 2024-12-08 06:17:03 | parametric | 3 | 140603 | 28 | 18.033 | 7797.0 |
| 251 | 2024-12-08 06:13:30 | parametric | 1 | 67641 | 1 | 4.373 | 15467.9 |