History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"thorniness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 420 | 2025-09-26 10:49:58 | thorniness | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 419 | 2025-09-20 23:10:25 | thorniness | 4 | 161450 | 406 | 16.643 | 9700.8 |
| 418 | 2025-08-27 01:55:39 | thorniness | 4 | 161450 | 406 | 23.380 | 6905.5 |
| 417 | 2025-08-25 02:49:39 | thorniness | 4 | 161450 | 406 | 61.126 | 2641.3 |
| 416 | 2025-08-23 00:48:17 | thorniness | 4 | 161450 | 406 | 46.156 | 3497.9 |
| 415 | 2025-08-22 15:28:08 | thorniness | 4 | 161450 | 406 | 10.983 | 14700.0 |
| 414 | 2025-08-21 16:21:42 | thorniness | 4 | 161450 | 406 | 25.610 | 6304.2 |
| 413 | 2025-08-21 12:19:28 | thorniness | 4 | 161450 | 406 | 43.453 | 3715.5 |
| 412 | 2025-08-19 05:54:10 | thorniness | 4 | 161450 | 406 | 26.456 | 6102.6 |
| 411 | 2025-08-09 21:49:20 | thorniness | 1 | 67641 | 2 | 3.030 | 22323.8 |
| 410 | 2025-08-09 09:23:11 | thorniness | 1 | 67641 | 2 | 5.123 | 13203.4 |
| 409 | 2025-08-02 21:10:40 | thorniness | 1 | 67641 | 2 | 2.420 | 27950.8 |
| 408 | 2025-07-27 09:07:45 | thorniness | 1 | 67641 | 2 | 5.300 | 12762.5 |
| 407 | 2025-07-20 01:56:40 | thorniness | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 406 | 2025-07-13 22:13:33 | thorniness | 1 | 67641 | 2 | 8.173 | 8276.2 |
| 405 | 2025-07-10 18:20:47 | thorniness | 1 | 67641 | 2 | 5.466 | 12374.9 |
| 404 | 2025-07-06 00:32:22 | thorniness | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 403 | 2025-07-03 23:24:07 | thorniness | 1 | 67641 | 2 | 5.423 | 12473.0 |
| 402 | 2025-07-02 08:03:37 | thorniness | 1 | 67641 | 2 | 7.296 | 9271.0 |
| 401 | 2025-06-28 05:16:36 | thorniness | 3 | 140603 | 61 | 17.313 | 8121.2 |
| 400 | 2025-06-27 04:35:41 | thorniness | 3 | 140603 | 61 | 53.626 | 2621.9 |
| 399 | 2025-06-26 07:33:16 | thorniness | 1 | 67641 | 2 | 5.686 | 11896.1 |
| 398 | 2025-06-25 03:20:37 | thorniness | 3 | 140603 | 61 | 32.923 | 4270.7 |
| 397 | 2025-06-24 12:39:43 | thorniness | 3 | 140603 | 61 | 21.716 | 6474.6 |
| 396 | 2025-06-24 02:01:17 | thorniness | 3 | 140603 | 61 | 16.406 | 8570.2 |
| 395 | 2025-06-22 17:56:09 | thorniness | 3 | 140603 | 61 | 22.766 | 6176.0 |
| 394 | 2025-06-22 07:40:05 | thorniness | 3 | 140603 | 61 | 27.953 | 5030.0 |
| 393 | 2025-06-19 19:39:02 | thorniness | 3 | 140603 | 61 | 6.623 | 21229.5 |
| 392 | 2025-06-19 06:13:54 | thorniness | 3 | 140603 | 61 | 11.670 | 12048.2 |
| 391 | 2025-06-13 21:54:06 | thorniness | 1 | 67641 | 2 | 3.076 | 21989.9 |
| 390 | 2025-06-11 15:37:47 | thorniness | 1 | 67641 | 2 | 5.173 | 13075.8 |
| 389 | 2025-06-03 23:19:37 | thorniness | 1 | 67641 | 2 | 5.826 | 11610.2 |
| 388 | 2025-05-27 21:01:08 | thorniness | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 387 | 2025-05-26 08:18:50 | thorniness | 1 | 67641 | 2 | 4.860 | 13917.9 |
| 386 | 2025-05-20 21:10:22 | thorniness | 1 | 67641 | 2 | 2.406 | 28113.5 |
| 385 | 2025-05-20 08:05:21 | thorniness | 1 | 67641 | 2 | 2.670 | 25333.7 |
| 384 | 2025-05-13 08:53:21 | thorniness | 1 | 67641 | 2 | 4.280 | 15804.0 |
| 383 | 2025-05-07 21:32:42 | thorniness | 1 | 67641 | 2 | 3.576 | 18915.3 |
| 382 | 2025-05-06 10:14:00 | thorniness | 3 | 140603 | 61 | 24.923 | 5641.5 |
| 381 | 2025-05-06 06:57:04 | thorniness | 1 | 67641 | 2 | 5.486 | 12329.7 |
| 380 | 2025-04-30 07:29:26 | thorniness | 1 | 67641 | 2 | 4.703 | 14382.5 |
| 379 | 2025-04-28 03:52:27 | thorniness | 1 | 67641 | 2 | 6.376 | 10608.7 |
| 378 | 2025-04-23 05:54:18 | thorniness | 2 | 108824 | 8 | 15.220 | 7150.1 |
| 377 | 2025-04-22 02:41:59 | thorniness | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 376 | 2025-04-16 06:03:28 | thorniness | 1 | 67641 | 2 | 5.000 | 13528.2 |
| 375 | 2025-04-01 21:29:33 | thorniness | 1 | 67641 | 2 | 7.906 | 8555.7 |
| 374 | 2025-03-29 09:43:20 | thorniness | 1 | 67641 | 2 | 5.470 | 12365.8 |
| 373 | 2025-03-24 08:14:33 | thorniness | 1 | 67641 | 2 | 3.736 | 18105.2 |
| 372 | 2025-03-20 08:10:04 | thorniness | 1 | 67641 | 2 | 2.486 | 27208.8 |
| 371 | 2025-03-03 05:34:59 | thorniness | 1 | 67641 | 2 | 5.313 | 12731.2 |
| 370 | 2025-02-22 18:49:56 | thorniness | 1 | 67641 | 2 | 5.110 | 13237.0 |
| 369 | 2025-02-20 02:10:19 | thorniness | 3 | 140603 | 61 | 29.533 | 4760.9 |
| 368 | 2025-02-18 20:23:42 | thorniness | 3 | 140603 | 61 | 32.190 | 4367.9 |
| 367 | 2025-02-17 03:06:27 | thorniness | 3 | 140603 | 61 | 21.770 | 6458.6 |
| 366 | 2025-02-17 03:06:26 | thorniness | 2 | 108824 | 8 | 17.503 | 6217.4 |
| 365 | 2025-02-16 08:40:33 | thorniness | 3 | 140603 | 61 | 31.860 | 4413.2 |
| 364 | 2025-02-16 08:40:27 | thorniness | 2 | 108824 | 8 | 13.173 | 8261.1 |
| 363 | 2025-02-16 08:39:28 | thorniness | 3 | 140603 | 61 | 37.346 | 3764.9 |
| 362 | 2025-02-16 08:36:50 | thorniness | 1 | 67641 | 2 | 2.763 | 24481.0 |
| 361 | 2025-02-08 08:17:39 | thorniness | 1 | 67641 | 2 | 9.216 | 7339.5 |
| 360 | 2025-02-07 02:22:41 | thorniness | 1 | 67641 | 2 | 6.516 | 10380.8 |
| 359 | 2025-01-27 18:57:18 | thorniness | 1 | 67641 | 2 | 0.983 | 68810.8 |
| 358 | 2025-01-04 11:20:59 | thorniness | 3 | 140603 | 61 | 39.300 | 3577.7 |
| 357 | 2025-01-04 02:54:07 | thorniness | 3 | 140603 | 61 | 30.253 | 4647.6 |
| 356 | 2025-01-04 02:54:09 | thorniness | 2 | 108824 | 8 | 25.766 | 4223.6 |
| 355 | 2025-01-04 02:54:10 | thorniness | 3 | 140603 | 61 | 23.533 | 5974.7 |
| 354 | 2025-01-04 01:47:40 | thorniness | 1 | 67641 | 2 | 7.956 | 8501.9 |
| 353 | 2025-01-03 14:15:27 | thorniness | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 352 | 2024-12-29 04:11:38 | thorniness | 1 | 67641 | 2 | 1.780 | 38000.6 |
| 351 | 2024-11-27 20:30:28 | thorniness | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 350 | 2024-11-04 21:41:43 | thorniness | 3 | 140603 | 61 | 41.783 | 3365.1 |
| 349 | 2024-11-04 21:33:58 | thorniness | 2 | 108824 | 8 | 21.626 | 5032.1 |
| 348 | 2024-11-03 05:59:16 | thorniness | 3 | 140603 | 61 | 34.800 | 4040.3 |
| 347 | 2024-11-02 18:23:43 | thorniness | 3 | 140603 | 61 | 31.890 | 4409.0 |
| 346 | 2024-11-02 18:23:34 | thorniness | 2 | 108824 | 8 | 17.643 | 6168.1 |
| 345 | 2024-11-02 18:23:12 | thorniness | 1 | 67641 | 2 | 6.486 | 10428.8 |
| 344 | 2024-11-01 17:31:39 | thorniness | 3 | 140603 | 61 | 37.623 | 3737.2 |
| 343 | 2024-11-01 11:13:46 | thorniness | 1 | 67641 | 2 | 3.076 | 21989.9 |
| 342 | 2024-10-26 14:07:31 | thorniness | 3 | 140603 | 61 | 28.330 | 4963.0 |
| 341 | 2024-10-26 14:05:33 | thorniness | 1 | 67641 | 2 | 5.030 | 13447.5 |
| 340 | 2024-10-18 14:59:01 | thorniness | 2 | 108824 | 8 | 17.030 | 6390.1 |
| 339 | 2024-10-11 00:52:03 | thorniness | 2 | 108824 | 8 | 13.703 | 7941.6 |
| 338 | 2024-10-11 00:50:01 | thorniness | 1 | 67641 | 2 | 2.750 | 24596.7 |
| 337 | 2024-10-06 12:35:56 | thorniness | 3 | 140603 | 61 | 62.613 | 2245.6 |
| 336 | 2024-09-30 20:51:26 | thorniness | 3 | 140603 | 61 | 50.703 | 2773.1 |
| 335 | 2024-09-30 12:57:26 | thorniness | 3 | 140603 | 61 | 60.573 | 2321.2 |
| 334 | 2024-09-27 17:12:44 | thorniness | 3 | 140603 | 61 | 51.203 | 2746.0 |
| 333 | 2024-09-27 17:12:41 | thorniness | 3 | 140603 | 61 | 35.360 | 3976.3 |
| 332 | 2024-09-27 17:12:44 | thorniness | 2 | 108824 | 8 | 24.593 | 4425.0 |
| 331 | 2024-09-27 16:30:58 | thorniness | 1 | 67641 | 2 | 3.953 | 17111.3 |
| 330 | 2024-09-26 00:08:30 | thorniness | 1 | 67641 | 2 | 8.203 | 8245.9 |
| 329 | 2024-09-10 18:49:30 | thorniness | 1 | 67641 | 2 | 4.390 | 15408.0 |
| 328 | 2024-09-10 18:17:02 | thorniness | 1 | 67641 | 2 | 11.346 | 5961.7 |
| 327 | 2024-09-08 15:10:15 | thorniness | 1 | 67641 | 2 | 5.703 | 11860.6 |
| 326 | 2024-08-30 04:39:11 | thorniness | 3 | 140603 | 61 | 39.576 | 3552.7 |
| 325 | 2024-08-27 11:21:11 | thorniness | 3 | 140603 | 61 | 6.376 | 22051.9 |
| 324 | 2024-08-27 11:21:12 | thorniness | 2 | 108824 | 8 | 3.093 | 35184.0 |
| 323 | 2024-08-27 11:21:01 | thorniness | 1 | 67641 | 2 | 1.953 | 34634.4 |
| 322 | 2024-08-26 09:41:34 | thorniness | 3 | 140603 | 61 | 66.393 | 2117.7 |
| 321 | 2024-08-21 22:40:58 | thorniness | 3 | 140603 | 61 | 74.436 | 1888.9 |