History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plotline"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 454 | 2025-11-02 02:47:39 | plotline | 2 | 121059 | 11 | 7.920 | 15285.2 |
| 453 | 2025-11-01 08:20:04 | plotline | 3 | 146162 | 121 | 7.970 | 18339.0 |
| 452 | 2025-11-01 01:06:05 | plotline | 3 | 146162 | 121 | 7.376 | 19815.9 |
| 451 | 2025-10-30 23:41:47 | plotline | 1 | 82945 | 3 | 1.266 | 65517.4 |
| 450 | 2025-10-30 23:22:02 | plotline | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 449 | 2025-10-30 12:11:08 | plotline | 1 | 82945 | 3 | 1.530 | 54212.4 |
| 448 | 2025-10-30 09:12:50 | plotline | 1 | 82945 | 3 | 1.406 | 58993.6 |
| 447 | 2025-10-29 21:53:37 | plotline | 3 | 146162 | 121 | 7.266 | 20115.9 |
| 446 | 2025-10-29 15:18:34 | plotline | 1 | 82945 | 3 | 1.576 | 52630.1 |
| 445 | 2025-10-24 01:20:43 | plotline | 1 | 82945 | 3 | 1.280 | 64800.8 |
| 444 | 2025-10-16 10:55:19 | plotline | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 443 | 2025-10-13 03:58:28 | plotline | 3 | 146162 | 121 | 7.453 | 19611.2 |
| 442 | 2025-10-03 02:51:36 | plotline | 3 | 146162 | 121 | 6.920 | 21121.7 |
| 441 | 2025-09-19 12:45:00 | plotline | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 440 | 2025-09-13 23:48:32 | plotline | 3 | 146162 | 121 | 6.673 | 21903.5 |
| 439 | 2025-09-13 20:50:20 | plotline | 1 | 82945 | 3 | 1.283 | 64649.3 |
| 438 | 2025-09-11 20:33:04 | plotline | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 437 | 2025-09-10 21:19:17 | plotline | 3 | 146162 | 121 | 7.516 | 19446.8 |
| 436 | 2025-09-10 11:52:42 | plotline | 2 | 121059 | 11 | 3.406 | 35542.9 |
| 435 | 2025-09-09 12:35:13 | plotline | 3 | 146162 | 121 | 7.436 | 19656.0 |
| 434 | 2025-09-01 11:43:47 | plotline | 3 | 146162 | 121 | 6.893 | 21204.4 |
| 433 | 2025-09-01 09:14:36 | plotline | 2 | 121059 | 11 | 3.346 | 36180.2 |
| 432 | 2025-08-28 04:29:25 | plotline | 2 | 121059 | 11 | 3.576 | 33853.2 |
| 431 | 2025-08-27 23:26:49 | plotline | 3 | 146162 | 121 | 7.470 | 19566.5 |
| 430 | 2025-08-27 15:57:48 | plotline | 1 | 82945 | 3 | 1.423 | 58288.8 |
| 429 | 2025-08-07 11:13:40 | plotline | 3 | 146162 | 121 | 16.203 | 9020.7 |
| 428 | 2025-08-06 23:21:32 | plotline | 3 | 146162 | 121 | 25.940 | 5634.6 |
| 427 | 2025-08-05 17:30:31 | plotline | 1 | 82945 | 3 | 3.170 | 26165.6 |
| 426 | 2025-08-05 10:17:41 | plotline | 1 | 82945 | 3 | 5.093 | 16286.1 |
| 425 | 2025-08-05 06:19:29 | plotline | 1 | 82945 | 3 | 2.876 | 28840.4 |
| 424 | 2025-08-02 15:15:27 | plotline | 3 | 146162 | 121 | 17.783 | 8219.2 |
| 423 | 2025-07-29 14:52:19 | plotline | 3 | 146162 | 121 | 34.440 | 4244.0 |
| 422 | 2025-07-27 13:13:44 | plotline | 1 | 82945 | 3 | 2.953 | 28088.4 |
| 421 | 2025-07-25 16:08:45 | plotline | 1 | 82945 | 3 | 6.266 | 13237.3 |
| 420 | 2025-07-24 21:24:40 | plotline | 1 | 82945 | 3 | 3.373 | 24590.9 |
| 419 | 2025-07-21 14:26:02 | plotline | 1 | 82945 | 3 | 1.953 | 42470.6 |
| 418 | 2025-07-19 14:52:52 | plotline | 3 | 146162 | 121 | 7.700 | 18982.1 |
| 417 | 2025-07-19 08:52:18 | plotline | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 416 | 2025-07-18 19:14:40 | plotline | 3 | 146162 | 121 | 26.373 | 5542.1 |
| 415 | 2025-07-09 06:44:46 | plotline | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 414 | 2025-07-06 03:03:21 | plotline | 3 | 146162 | 121 | 6.330 | 23090.4 |
| 413 | 2025-07-06 01:21:15 | plotline | 2 | 121059 | 11 | 13.423 | 9018.8 |
| 412 | 2025-07-05 09:38:16 | plotline | 1 | 82945 | 3 | 5.983 | 13863.4 |
| 411 | 2025-07-05 09:37:25 | plotline | 3 | 146162 | 121 | 34.736 | 4207.8 |
| 410 | 2025-07-05 07:37:03 | plotline | 3 | 146162 | 121 | 36.050 | 4054.4 |
| 409 | 2025-07-03 22:52:26 | plotline | 3 | 146162 | 121 | 23.753 | 6153.4 |
| 408 | 2025-07-03 10:21:49 | plotline | 2 | 121059 | 11 | 3.860 | 31362.4 |
| 407 | 2025-07-03 03:27:05 | plotline | 3 | 146162 | 121 | 70.000 | 2088.0 |
| 406 | 2025-06-22 08:34:47 | plotline | 1 | 82945 | 3 | 7.190 | 11536.2 |
| 405 | 2025-06-04 09:24:47 | plotline | 1 | 82945 | 3 | 5.860 | 14154.4 |
| 404 | 2025-05-29 20:54:01 | plotline | 2 | 121059 | 11 | 4.063 | 29795.5 |
| 403 | 2025-05-27 23:15:08 | plotline | 3 | 146162 | 121 | 9.170 | 15939.1 |
| 402 | 2025-05-23 10:22:08 | plotline | 3 | 146162 | 121 | 35.296 | 4141.0 |
| 401 | 2025-05-14 19:11:36 | plotline | 3 | 146162 | 121 | 9.736 | 15012.5 |
| 400 | 2025-05-12 07:34:05 | plotline | 3 | 146162 | 121 | 36.016 | 4058.3 |
| 399 | 2025-05-06 07:22:49 | plotline | 1 | 82945 | 3 | 6.013 | 13794.3 |
| 398 | 2025-05-05 22:35:18 | plotline | 3 | 146162 | 121 | 29.126 | 5018.3 |
| 397 | 2025-05-05 08:51:35 | plotline | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 396 | 2025-04-30 11:32:59 | plotline | 1 | 82945 | 3 | 4.826 | 17187.1 |
| 395 | 2025-04-30 09:01:18 | plotline | 1 | 82945 | 3 | 8.830 | 9393.5 |
| 394 | 2025-04-18 13:13:37 | plotline | 1 | 82945 | 3 | 3.890 | 21322.6 |
| 393 | 2025-04-18 07:43:44 | plotline | 1 | 82945 | 3 | 6.326 | 13111.8 |
| 392 | 2025-04-06 09:55:55 | plotline | 2 | 121059 | 11 | 19.186 | 6309.8 |
| 391 | 2025-04-05 00:15:39 | plotline | 2 | 121059 | 11 | 5.046 | 23991.1 |
| 390 | 2025-04-04 23:06:35 | plotline | 3 | 146162 | 121 | 38.970 | 3750.6 |
| 389 | 2025-04-04 09:44:20 | plotline | 3 | 146162 | 121 | 31.533 | 4635.2 |
| 388 | 2025-04-04 09:14:48 | plotline | 1 | 82945 | 3 | 6.140 | 13509.0 |
| 387 | 2025-04-04 06:25:22 | plotline | 2 | 121059 | 11 | 26.546 | 4560.3 |
| 386 | 2025-04-03 21:40:33 | plotline | 3 | 146162 | 121 | 28.580 | 5114.1 |
| 385 | 2025-04-03 10:01:04 | plotline | 2 | 121059 | 11 | 5.673 | 21339.5 |
| 384 | 2025-04-03 08:17:03 | plotline | 2 | 121059 | 11 | 3.406 | 35542.9 |
| 383 | 2025-04-03 05:42:49 | plotline | 3 | 146162 | 121 | 6.706 | 21795.7 |
| 382 | 2025-04-01 18:47:39 | plotline | 3 | 146162 | 121 | 7.250 | 20160.3 |
| 381 | 2025-03-31 09:04:46 | plotline | 1 | 82945 | 3 | 10.220 | 8115.9 |
| 380 | 2025-03-19 08:14:25 | plotline | 1 | 82945 | 3 | 3.233 | 25655.7 |
| 379 | 2025-03-18 09:14:50 | plotline | 1 | 82945 | 3 | 5.626 | 14743.2 |
| 378 | 2025-03-17 19:16:29 | plotline | 1 | 82945 | 3 | 6.796 | 12205.0 |
| 377 | 2025-03-12 17:26:15 | plotline | 1 | 82945 | 3 | 4.813 | 17233.5 |
| 376 | 2025-03-01 18:18:10 | plotline | 2 | 121059 | 11 | 27.113 | 4465.0 |
| 375 | 2025-03-01 18:15:33 | plotline | 1 | 82945 | 3 | 4.360 | 19024.1 |
| 374 | 2025-02-28 11:55:15 | plotline | 1 | 82945 | 3 | 6.890 | 12038.5 |
| 373 | 2025-02-28 10:04:26 | plotline | 3 | 146162 | 121 | 48.796 | 2995.4 |
| 372 | 2025-02-24 03:10:53 | plotline | 3 | 146162 | 121 | 55.266 | 2644.7 |
| 371 | 2025-02-23 10:34:11 | plotline | 3 | 146162 | 121 | 22.503 | 6495.2 |
| 370 | 2025-02-23 02:46:06 | plotline | 3 | 146162 | 121 | 43.153 | 3387.1 |
| 369 | 2025-02-22 03:10:20 | plotline | 1 | 82945 | 3 | 5.576 | 14875.4 |
| 368 | 2025-02-21 15:10:06 | plotline | 3 | 146162 | 121 | 33.700 | 4337.2 |
| 367 | 2025-02-21 07:36:20 | plotline | 3 | 146162 | 121 | 36.453 | 4009.6 |
| 366 | 2025-02-11 22:06:31 | plotline | 1 | 82945 | 3 | 7.093 | 11693.9 |
| 365 | 2025-02-02 18:26:56 | plotline | 1 | 82945 | 3 | 6.783 | 12228.4 |
| 364 | 2025-01-24 18:15:44 | plotline | 3 | 146162 | 121 | 11.220 | 13026.9 |
| 363 | 2025-01-24 18:15:45 | plotline | 2 | 121059 | 11 | 4.076 | 29700.4 |
| 362 | 2025-01-23 10:15:12 | plotline | 2 | 121059 | 11 | 18.143 | 6672.5 |
| 361 | 2025-01-22 10:49:04 | plotline | 3 | 146162 | 121 | 29.953 | 4879.7 |
| 360 | 2025-01-21 17:06:22 | plotline | 2 | 121059 | 11 | 18.720 | 6466.8 |
| 359 | 2025-01-21 02:17:56 | plotline | 2 | 121059 | 11 | 36.050 | 3358.1 |
| 358 | 2025-01-21 02:16:16 | plotline | 3 | 146162 | 121 | 32.440 | 4505.6 |
| 357 | 2025-01-21 02:15:55 | plotline | 1 | 82945 | 3 | 6.860 | 12091.1 |
| 356 | 2025-01-20 11:52:02 | plotline | 1 | 82945 | 3 | 6.860 | 12091.1 |
| 355 | 2025-01-12 06:26:11 | plotline | 1 | 82945 | 3 | 6.860 | 12091.1 |