History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preshaping"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 379 | 2025-10-24 07:22:58 | preshaping | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 378 | 2025-10-21 02:27:05 | preshaping | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 377 | 2025-10-11 11:13:50 | preshaping | 4 | 161450 | 452 | 11.550 | 13978.4 |
| 376 | 2025-10-10 18:57:03 | preshaping | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 375 | 2025-09-26 23:57:48 | preshaping | 3 | 140603 | 71 | 6.500 | 21631.2 |
| 374 | 2025-09-18 21:10:49 | preshaping | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 373 | 2025-09-18 04:06:17 | preshaping | 1 | 67641 | 2 | 2.376 | 28468.4 |
| 372 | 2025-09-13 16:15:17 | preshaping | 2 | 108824 | 9 | 7.580 | 14356.7 |
| 371 | 2025-09-09 17:10:20 | preshaping | 2 | 108824 | 9 | 2.986 | 36444.7 |
| 370 | 2025-09-09 11:13:11 | preshaping | 4 | 161450 | 452 | 11.546 | 13983.2 |
| 369 | 2025-09-09 08:30:00 | preshaping | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 368 | 2025-09-05 07:04:10 | preshaping | 4 | 161450 | 452 | 10.843 | 14889.8 |
| 367 | 2025-08-20 20:57:08 | preshaping | 4 | 161450 | 452 | 40.410 | 3995.3 |
| 366 | 2025-08-19 09:49:00 | preshaping | 4 | 161450 | 452 | 28.376 | 5689.7 |
| 365 | 2025-08-17 12:29:37 | preshaping | 4 | 161450 | 452 | 27.800 | 5807.6 |
| 364 | 2025-08-17 12:17:44 | preshaping | 4 | 161450 | 452 | 26.360 | 6124.8 |
| 363 | 2025-08-16 20:18:37 | preshaping | 4 | 161450 | 452 | 31.310 | 5156.5 |
| 362 | 2025-08-16 02:09:01 | preshaping | 1 | 67641 | 2 | 1.283 | 52721.0 |
| 361 | 2025-08-15 02:03:54 | preshaping | 4 | 161450 | 452 | 34.613 | 4664.4 |
| 360 | 2025-08-11 12:24:53 | preshaping | 4 | 161450 | 452 | 23.563 | 6851.8 |
| 359 | 2025-08-05 11:08:34 | preshaping | 1 | 67641 | 2 | 2.376 | 28468.4 |
| 358 | 2025-07-30 17:03:18 | preshaping | 1 | 67641 | 2 | 5.016 | 13485.0 |
| 357 | 2025-07-27 21:57:46 | preshaping | 1 | 67641 | 2 | 2.813 | 24045.9 |
| 356 | 2025-07-26 20:26:43 | preshaping | 1 | 67641 | 2 | 4.126 | 16393.8 |
| 355 | 2025-07-25 16:06:10 | preshaping | 3 | 140603 | 71 | 15.250 | 9219.9 |
| 354 | 2025-07-23 14:39:47 | preshaping | 2 | 108824 | 9 | 16.016 | 6794.7 |
| 353 | 2025-07-23 09:04:32 | preshaping | 3 | 140603 | 71 | 27.173 | 5174.4 |
| 352 | 2025-07-21 21:31:24 | preshaping | 3 | 140603 | 71 | 7.093 | 19822.8 |
| 351 | 2025-07-20 20:42:57 | preshaping | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 350 | 2025-07-19 07:43:09 | preshaping | 3 | 140603 | 71 | 6.673 | 21070.4 |
| 349 | 2025-07-17 23:00:48 | preshaping | 2 | 108824 | 9 | 8.640 | 12595.4 |
| 348 | 2025-07-17 22:48:39 | preshaping | 2 | 108824 | 9 | 10.360 | 10504.2 |
| 347 | 2025-07-14 05:04:07 | preshaping | 1 | 67641 | 2 | 8.470 | 7986.0 |
| 346 | 2025-07-13 13:22:47 | preshaping | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 345 | 2025-07-11 02:00:27 | preshaping | 1 | 67641 | 2 | 4.750 | 14240.2 |
| 344 | 2025-07-10 09:30:53 | preshaping | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 343 | 2025-07-05 15:54:15 | preshaping | 2 | 108824 | 9 | 8.283 | 13138.2 |
| 342 | 2025-07-05 00:25:12 | preshaping | 3 | 140603 | 71 | 44.346 | 3170.6 |
| 341 | 2025-07-03 06:30:02 | preshaping | 1 | 67641 | 2 | 5.703 | 11860.6 |
| 340 | 2025-07-02 16:11:46 | preshaping | 1 | 67641 | 2 | 8.063 | 8389.1 |
| 339 | 2025-06-26 14:00:37 | preshaping | 1 | 67641 | 2 | 6.000 | 11273.5 |
| 338 | 2025-06-19 00:27:02 | preshaping | 3 | 140603 | 71 | 28.360 | 4957.8 |
| 337 | 2025-06-18 10:00:59 | preshaping | 1 | 67641 | 2 | 6.280 | 10770.9 |
| 336 | 2025-06-16 23:25:19 | preshaping | 3 | 140603 | 71 | 34.866 | 4032.7 |
| 335 | 2025-06-16 15:09:35 | preshaping | 3 | 140603 | 71 | 37.690 | 3730.5 |
| 334 | 2025-06-16 12:36:02 | preshaping | 4 | 161450 | 452 | 54.706 | 2951.2 |
| 333 | 2025-06-16 10:25:57 | preshaping | 4 | 161450 | 452 | 70.316 | 2296.1 |
| 332 | 2025-06-16 08:41:29 | preshaping | 4 | 161450 | 452 | 59.356 | 2720.0 |
| 331 | 2025-06-14 15:13:04 | preshaping | 1 | 67641 | 2 | 8.500 | 7957.8 |
| 330 | 2025-06-13 21:09:22 | preshaping | 3 | 140603 | 71 | 25.656 | 5480.3 |
| 329 | 2025-06-13 20:13:48 | preshaping | 3 | 140603 | 71 | 29.470 | 4771.1 |
| 328 | 2025-06-13 08:21:11 | preshaping | 3 | 140603 | 71 | 32.546 | 4320.1 |
| 327 | 2025-06-13 02:09:26 | preshaping | 4 | 161450 | 452 | 11.673 | 13831.1 |
| 326 | 2025-06-13 00:56:37 | preshaping | 2 | 108824 | 9 | 6.096 | 17851.7 |
| 325 | 2025-06-12 04:07:55 | preshaping | 1 | 67641 | 2 | 2.890 | 23405.2 |
| 324 | 2025-06-11 01:12:27 | preshaping | 1 | 67641 | 2 | 5.750 | 11763.7 |
| 323 | 2025-06-10 17:15:13 | preshaping | 1 | 67641 | 2 | 7.516 | 8999.6 |
| 322 | 2025-06-09 13:41:10 | preshaping | 2 | 108824 | 9 | 3.140 | 34657.3 |
| 321 | 2025-06-09 12:54:45 | preshaping | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 320 | 2025-05-28 19:27:39 | preshaping | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 319 | 2025-05-13 09:01:25 | preshaping | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 318 | 2025-05-04 16:54:39 | preshaping | 1 | 67641 | 2 | 3.766 | 17961.0 |
| 317 | 2025-05-04 15:08:12 | preshaping | 1 | 67641 | 2 | 6.406 | 10559.0 |
| 316 | 2025-04-30 04:16:29 | preshaping | 1 | 67641 | 2 | 3.826 | 17679.3 |
| 315 | 2025-04-29 19:40:23 | preshaping | 1 | 67641 | 2 | 5.500 | 12298.4 |
| 314 | 2025-04-29 03:19:19 | preshaping | 2 | 108824 | 9 | 15.453 | 7042.3 |
| 313 | 2025-04-28 13:32:56 | preshaping | 1 | 67641 | 2 | 4.766 | 14192.4 |
| 312 | 2025-04-27 13:23:18 | preshaping | 3 | 140603 | 71 | 5.873 | 23940.6 |
| 311 | 2025-04-24 13:46:55 | preshaping | 3 | 140603 | 71 | 32.610 | 4311.7 |
| 310 | 2025-04-23 08:34:35 | preshaping | 1 | 67641 | 2 | 2.403 | 28148.6 |
| 309 | 2025-04-22 11:57:46 | preshaping | 3 | 140603 | 71 | 5.936 | 23686.5 |
| 308 | 2025-04-17 13:58:52 | preshaping | 1 | 67641 | 2 | 2.016 | 33552.1 |
| 307 | 2025-04-12 02:48:06 | preshaping | 3 | 140603 | 71 | 36.910 | 3809.3 |
| 306 | 2025-04-11 09:54:37 | preshaping | 3 | 140603 | 71 | 42.423 | 3314.3 |
| 305 | 2025-04-08 22:38:27 | preshaping | 3 | 140603 | 71 | 35.440 | 3967.4 |
| 304 | 2025-04-07 14:51:59 | preshaping | 3 | 140603 | 71 | 34.813 | 4038.8 |
| 303 | 2025-04-06 06:26:04 | preshaping | 1 | 67641 | 2 | 3.000 | 22547.0 |
| 302 | 2025-04-05 09:23:19 | preshaping | 3 | 140603 | 71 | 6.593 | 21326.1 |
| 301 | 2025-03-29 23:37:29 | preshaping | 1 | 67641 | 2 | 1.266 | 53428.9 |
| 300 | 2025-03-29 05:36:33 | preshaping | 1 | 67641 | 2 | 4.470 | 15132.2 |
| 299 | 2025-03-23 17:05:13 | preshaping | 1 | 67641 | 2 | 4.953 | 13656.6 |
| 298 | 2025-03-18 07:34:41 | preshaping | 2 | 108824 | 9 | 14.786 | 7359.9 |
| 297 | 2025-03-18 07:34:22 | preshaping | 3 | 140603 | 71 | 17.663 | 7960.3 |
| 296 | 2025-03-14 03:12:39 | preshaping | 2 | 108824 | 9 | 15.876 | 6854.6 |
| 295 | 2025-03-13 14:41:02 | preshaping | 3 | 140603 | 71 | 31.143 | 4514.8 |
| 294 | 2025-03-13 14:41:04 | preshaping | 3 | 140603 | 71 | 25.396 | 5536.4 |
| 293 | 2025-03-13 14:40:54 | preshaping | 2 | 108824 | 9 | 16.530 | 6583.4 |
| 292 | 2025-03-13 14:37:18 | preshaping | 1 | 67641 | 2 | 5.890 | 11484.0 |
| 291 | 2025-03-07 00:01:57 | preshaping | 1 | 67641 | 2 | 4.733 | 14291.4 |
| 290 | 2025-03-04 03:58:02 | preshaping | 3 | 140603 | 71 | 32.893 | 4274.6 |
| 289 | 2025-03-02 16:03:58 | preshaping | 3 | 140603 | 71 | 35.050 | 4011.5 |
| 288 | 2025-03-02 15:56:20 | preshaping | 1 | 67641 | 2 | 5.550 | 12187.6 |
| 287 | 2025-02-28 17:53:20 | preshaping | 3 | 140603 | 71 | 27.866 | 5045.7 |
| 286 | 2025-02-28 17:53:19 | preshaping | 2 | 108824 | 9 | 15.370 | 7080.3 |
| 285 | 2025-02-28 17:52:36 | preshaping | 3 | 140603 | 71 | 29.010 | 4846.7 |
| 284 | 2025-02-28 17:49:24 | preshaping | 1 | 67641 | 2 | 4.236 | 15968.1 |
| 283 | 2025-02-09 06:48:40 | preshaping | 2 | 108824 | 9 | 21.393 | 5086.9 |
| 282 | 2025-02-09 06:35:40 | preshaping | 3 | 140603 | 71 | 45.920 | 3061.9 |
| 281 | 2025-02-09 05:22:13 | preshaping | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 280 | 2025-01-30 02:24:06 | preshaping | 2 | 108824 | 9 | 14.626 | 7440.4 |