History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predefined"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 381 | 2025-10-30 13:05:13 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 380 | 2025-10-28 01:29:40 | predefined | 3 | 140603 | 27 | 7.310 | 19234.3 |
| 379 | 2025-10-21 13:47:45 | predefined | 3 | 140603 | 27 | 27.816 | 5054.8 |
| 378 | 2025-10-17 22:31:47 | predefined | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 377 | 2025-10-17 11:53:33 | predefined | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 376 | 2025-10-15 23:15:56 | predefined | 1 | 67641 | 4 | 1.096 | 61716.2 |
| 375 | 2025-10-15 04:36:07 | predefined | 3 | 140603 | 27 | 7.003 | 20077.5 |
| 374 | 2025-10-14 19:45:54 | predefined | 3 | 140603 | 27 | 6.703 | 20976.1 |
| 373 | 2025-10-08 18:50:37 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 372 | 2025-10-08 12:27:22 | predefined | 3 | 140603 | 27 | 5.733 | 24525.2 |
| 371 | 2025-10-07 09:20:47 | predefined | 3 | 140603 | 27 | 7.186 | 19566.2 |
| 370 | 2025-09-30 05:37:47 | predefined | 3 | 140603 | 27 | 6.423 | 21890.5 |
| 369 | 2025-09-29 23:48:32 | predefined | 3 | 140603 | 27 | 5.720 | 24580.9 |
| 368 | 2025-09-28 19:23:33 | predefined | 1 | 67641 | 4 | 1.610 | 42013.0 |
| 367 | 2025-09-27 23:02:57 | predefined | 1 | 67641 | 4 | 1.233 | 54858.9 |
| 366 | 2025-09-27 13:22:16 | predefined | 3 | 140603 | 27 | 5.983 | 23500.4 |
| 365 | 2025-09-27 07:09:48 | predefined | 3 | 140603 | 27 | 6.423 | 21890.5 |
| 364 | 2025-09-27 00:10:23 | predefined | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 363 | 2025-09-25 19:35:13 | predefined | 1 | 67641 | 4 | 2.766 | 24454.4 |
| 362 | 2025-09-24 16:34:06 | predefined | 3 | 140603 | 27 | 6.596 | 21316.4 |
| 361 | 2025-09-19 19:08:50 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 360 | 2025-09-19 01:08:06 | predefined | 3 | 140603 | 27 | 14.266 | 9855.8 |
| 359 | 2025-09-16 18:05:03 | predefined | 4 | 161450 | 223 | 11.546 | 13983.2 |
| 358 | 2025-09-13 03:17:00 | predefined | 3 | 140603 | 27 | 6.140 | 22899.5 |
| 357 | 2025-09-13 00:08:23 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 356 | 2025-09-11 06:18:42 | predefined | 2 | 108824 | 8 | 3.203 | 33975.6 |
| 355 | 2025-09-10 13:03:49 | predefined | 2 | 108824 | 8 | 3.626 | 30012.1 |
| 354 | 2025-09-07 22:36:01 | predefined | 3 | 140603 | 27 | 6.626 | 21219.9 |
| 353 | 2025-09-01 20:52:25 | predefined | 3 | 140603 | 27 | 6.580 | 21368.2 |
| 352 | 2025-08-31 18:33:42 | predefined | 3 | 140603 | 27 | 6.313 | 22272.0 |
| 351 | 2025-08-28 22:39:40 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 350 | 2025-08-28 10:32:06 | predefined | 1 | 67641 | 4 | 1.263 | 53555.8 |
| 349 | 2025-08-28 05:34:10 | predefined | 2 | 108824 | 8 | 3.280 | 33178.0 |
| 348 | 2025-08-28 01:45:46 | predefined | 3 | 140603 | 27 | 5.843 | 24063.5 |
| 347 | 2025-08-28 00:43:25 | predefined | 3 | 140603 | 27 | 6.203 | 22666.9 |
| 346 | 2025-08-27 22:33:27 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 345 | 2025-08-27 19:22:52 | predefined | 3 | 140603 | 27 | 6.233 | 22557.8 |
| 344 | 2025-08-24 19:28:54 | predefined | 1 | 67641 | 4 | 3.656 | 18501.4 |
| 343 | 2025-08-18 08:05:44 | predefined | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 342 | 2025-08-17 06:36:54 | predefined | 1 | 67641 | 4 | 2.486 | 27208.8 |
| 341 | 2025-08-09 10:22:03 | predefined | 1 | 67641 | 4 | 3.063 | 22083.3 |
| 340 | 2025-08-09 05:50:12 | predefined | 1 | 67641 | 4 | 3.780 | 17894.4 |
| 339 | 2025-08-05 22:14:29 | predefined | 3 | 140603 | 27 | 15.906 | 8839.6 |
| 338 | 2025-08-05 19:27:35 | predefined | 3 | 140603 | 27 | 33.220 | 4232.5 |
| 337 | 2025-08-02 22:22:02 | predefined | 3 | 140603 | 27 | 36.280 | 3875.5 |
| 336 | 2025-07-30 12:05:37 | predefined | 3 | 140603 | 27 | 23.096 | 6087.8 |
| 335 | 2025-07-25 08:54:39 | predefined | 1 | 67641 | 4 | 2.406 | 28113.5 |
| 334 | 2025-07-24 23:20:50 | predefined | 1 | 67641 | 4 | 2.423 | 27916.2 |
| 333 | 2025-07-23 23:31:31 | predefined | 1 | 67641 | 4 | 3.093 | 21869.1 |
| 332 | 2025-07-23 09:28:37 | predefined | 1 | 67641 | 4 | 7.283 | 9287.5 |
| 331 | 2025-07-19 23:02:06 | predefined | 2 | 108824 | 8 | 3.343 | 32552.8 |
| 330 | 2025-07-17 01:15:31 | predefined | 3 | 140603 | 27 | 15.593 | 9017.1 |
| 329 | 2025-07-16 14:55:18 | predefined | 2 | 108824 | 8 | 8.360 | 13017.2 |
| 328 | 2025-07-15 07:55:07 | predefined | 1 | 67641 | 4 | 3.330 | 20312.6 |
| 327 | 2025-07-08 11:14:19 | predefined | 2 | 108824 | 8 | 15.363 | 7083.5 |
| 326 | 2025-07-07 14:26:26 | predefined | 4 | 161450 | 223 | 47.373 | 3408.1 |
| 325 | 2025-07-06 23:47:18 | predefined | 3 | 140603 | 27 | 6.906 | 20359.5 |
| 324 | 2025-07-06 07:16:31 | predefined | 3 | 140603 | 27 | 14.300 | 9832.4 |
| 323 | 2025-06-30 11:20:20 | predefined | 1 | 67641 | 4 | 6.220 | 10874.8 |
| 322 | 2025-06-28 04:31:30 | predefined | 1 | 67641 | 4 | 10.140 | 6670.7 |
| 321 | 2025-06-26 18:18:54 | predefined | 1 | 67641 | 4 | 3.453 | 19589.1 |
| 320 | 2025-06-26 15:27:05 | predefined | 3 | 140603 | 27 | 23.876 | 5888.9 |
| 319 | 2025-06-26 08:02:00 | predefined | 4 | 161450 | 223 | 65.893 | 2450.2 |
| 318 | 2025-06-24 06:06:34 | predefined | 2 | 108824 | 8 | 15.736 | 6915.6 |
| 317 | 2025-06-23 07:36:17 | predefined | 3 | 140603 | 27 | 8.470 | 16600.1 |
| 316 | 2025-06-22 23:35:37 | predefined | 3 | 140603 | 27 | 30.410 | 4623.6 |
| 315 | 2025-06-22 13:57:01 | predefined | 3 | 140603 | 27 | 26.953 | 5216.6 |
| 314 | 2025-06-21 23:33:01 | predefined | 3 | 140603 | 27 | 34.423 | 4084.6 |
| 313 | 2025-06-20 20:16:54 | predefined | 3 | 140603 | 27 | 44.236 | 3178.5 |
| 312 | 2025-06-20 13:13:54 | predefined | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 311 | 2025-06-20 12:08:02 | predefined | 4 | 161450 | 223 | 60.066 | 2687.9 |
| 310 | 2025-06-19 22:03:30 | predefined | 2 | 108824 | 8 | 12.220 | 8905.4 |
| 309 | 2025-06-18 19:55:54 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 308 | 2025-06-14 20:40:34 | predefined | 1 | 67641 | 4 | 7.986 | 8469.9 |
| 307 | 2025-05-31 17:30:09 | predefined | 1 | 67641 | 4 | 5.593 | 12093.9 |
| 306 | 2025-05-22 05:22:15 | predefined | 1 | 67641 | 4 | 8.313 | 8136.8 |
| 305 | 2025-05-21 08:45:27 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 304 | 2025-05-18 17:07:41 | predefined | 1 | 67641 | 4 | 5.703 | 11860.6 |
| 303 | 2025-05-15 16:16:37 | predefined | 3 | 140603 | 27 | 6.970 | 20172.6 |
| 302 | 2025-05-15 15:49:55 | predefined | 2 | 108824 | 8 | 3.326 | 32719.2 |
| 301 | 2025-05-15 00:38:41 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 300 | 2025-05-12 13:25:07 | predefined | 1 | 67641 | 4 | 7.686 | 8800.5 |
| 299 | 2025-05-11 22:18:23 | predefined | 1 | 67641 | 4 | 5.423 | 12473.0 |
| 298 | 2025-05-05 23:38:09 | predefined | 1 | 67641 | 4 | 3.576 | 18915.3 |
| 297 | 2025-05-05 20:04:09 | predefined | 1 | 67641 | 4 | 3.030 | 22323.8 |
| 296 | 2025-05-04 11:46:06 | predefined | 1 | 67641 | 4 | 5.860 | 11542.8 |
| 295 | 2025-04-23 08:33:22 | predefined | 1 | 67641 | 4 | 5.940 | 11387.4 |
| 294 | 2025-04-01 20:00:11 | predefined | 1 | 67641 | 4 | 8.143 | 8306.6 |
| 293 | 2025-03-27 00:28:00 | predefined | 1 | 67641 | 4 | 8.360 | 8091.0 |
| 292 | 2025-03-23 10:33:06 | predefined | 1 | 67641 | 4 | 5.766 | 11731.0 |
| 291 | 2025-03-20 13:02:34 | predefined | 1 | 67641 | 4 | 3.626 | 18654.4 |
| 290 | 2025-03-07 01:42:16 | predefined | 3 | 140603 | 27 | 48.156 | 2919.7 |
| 289 | 2025-03-07 01:42:21 | predefined | 3 | 140603 | 27 | 30.296 | 4641.0 |
| 288 | 2025-03-07 01:42:14 | predefined | 2 | 108824 | 8 | 6.610 | 16463.5 |
| 287 | 2025-03-07 00:38:35 | predefined | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 286 | 2025-03-03 19:07:55 | predefined | 1 | 67641 | 4 | 5.796 | 11670.3 |
| 285 | 2025-03-02 17:39:37 | predefined | 1 | 67641 | 4 | 3.033 | 22301.7 |
| 284 | 2025-02-17 11:14:03 | predefined | 3 | 140603 | 27 | 37.423 | 3757.1 |
| 283 | 2025-02-17 11:13:54 | predefined | 3 | 140603 | 27 | 41.000 | 3429.3 |
| 282 | 2025-02-17 11:13:54 | predefined | 2 | 108824 | 8 | 14.500 | 7505.1 |