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 |
| 521 | 2026-04-17 01:53:15 | plotline | 1 | 82945 | 3 | 1.546 | 53651.4 |
| 520 | 2026-04-17 01:45:28 | plotline | 1 | 82945 | 3 | 2.783 | 29804.2 |
| 519 | 2026-04-16 22:17:32 | plotline | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 518 | 2026-04-16 20:56:43 | plotline | 1 | 82945 | 3 | 1.300 | 63803.8 |
| 517 | 2026-04-09 01:51:15 | plotline | 1 | 82945 | 3 | 3.250 | 25521.5 |
| 516 | 2026-03-31 13:08:19 | plotline | 3 | 146162 | 121 | 36.800 | 3971.8 |
| 515 | 2026-03-22 10:40:46 | plotline | 2 | 121059 | 11 | 3.936 | 30756.9 |
| 514 | 2026-03-20 14:31:29 | plotline | 3 | 146162 | 121 | 28.080 | 5205.2 |
| 513 | 2026-03-19 14:28:20 | plotline | 1 | 82945 | 3 | 9.266 | 8951.5 |
| 512 | 2026-03-19 12:04:16 | plotline | 1 | 82945 | 3 | 3.250 | 25521.5 |
| 511 | 2026-03-18 09:22:06 | plotline | 3 | 146162 | 121 | 7.673 | 19048.9 |
| 510 | 2026-03-18 07:39:11 | plotline | 3 | 146162 | 121 | 7.390 | 19778.3 |
| 509 | 2026-03-16 17:13:27 | plotline | 1 | 82945 | 3 | 2.343 | 35401.2 |
| 508 | 2026-03-16 03:43:59 | plotline | 3 | 146162 | 121 | 18.250 | 8008.9 |
| 507 | 2026-03-15 21:56:32 | plotline | 3 | 146162 | 121 | 32.283 | 4527.5 |
| 506 | 2026-03-14 07:04:18 | plotline | 1 | 82945 | 3 | 2.436 | 34049.7 |
| 505 | 2026-03-12 00:50:21 | plotline | 1 | 82945 | 3 | 2.033 | 40799.3 |
| 504 | 2026-03-02 13:18:03 | plotline | 1 | 82945 | 3 | 1.466 | 56579.1 |
| 503 | 2026-02-16 17:55:45 | plotline | 2 | 121059 | 11 | 3.923 | 30858.8 |
| 502 | 2026-02-16 16:17:49 | plotline | 2 | 121059 | 11 | 4.736 | 25561.4 |
| 501 | 2026-02-16 16:08:36 | plotline | 3 | 146162 | 121 | 8.643 | 16911.0 |
| 500 | 2026-02-16 15:15:58 | plotline | 2 | 121059 | 11 | 4.813 | 25152.5 |
| 499 | 2026-02-16 14:00:18 | plotline | 2 | 121059 | 11 | 3.560 | 34005.3 |
| 498 | 2026-02-16 12:59:54 | plotline | 3 | 146162 | 121 | 6.813 | 21453.4 |
| 497 | 2026-02-16 12:52:40 | plotline | 3 | 146162 | 121 | 8.033 | 18195.2 |
| 496 | 2026-02-16 11:47:10 | plotline | 2 | 121059 | 11 | 4.000 | 30264.8 |
| 495 | 2026-02-16 10:18:56 | plotline | 2 | 121059 | 11 | 3.640 | 33258.0 |
| 494 | 2026-02-16 10:11:05 | plotline | 2 | 121059 | 11 | 7.530 | 16076.9 |
| 493 | 2026-02-16 05:47:28 | plotline | 1 | 82945 | 3 | 2.576 | 32199.1 |
| 492 | 2026-02-16 05:07:53 | plotline | 3 | 146162 | 121 | 7.376 | 19815.9 |
| 491 | 2026-02-10 18:52:25 | plotline | 1 | 82945 | 3 | 1.483 | 55930.5 |
| 490 | 2026-02-01 16:45:18 | plotline | 1 | 82945 | 3 | 1.360 | 60989.0 |
| 489 | 2026-01-16 13:55:18 | plotline | 3 | 146162 | 121 | 7.893 | 18517.9 |
| 488 | 2026-01-16 07:37:24 | plotline | 3 | 146162 | 121 | 7.686 | 19016.7 |
| 487 | 2026-01-16 06:03:16 | plotline | 1 | 82945 | 3 | 1.423 | 58288.8 |
| 486 | 2026-01-12 19:11:03 | plotline | 3 | 146162 | 121 | 8.093 | 18060.3 |
| 485 | 2026-01-06 03:38:40 | plotline | 2 | 121059 | 11 | 6.016 | 20122.8 |
| 484 | 2026-01-01 11:14:43 | plotline | 2 | 121059 | 11 | 7.576 | 15979.3 |
| 483 | 2025-12-31 22:43:16 | plotline | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 482 | 2025-12-31 02:48:04 | plotline | 2 | 121059 | 11 | 3.830 | 31608.1 |
| 481 | 2025-12-31 01:03:10 | plotline | 2 | 121059 | 11 | 3.390 | 35710.6 |
| 480 | 2025-12-27 12:16:38 | plotline | 1 | 82945 | 3 | 5.576 | 14875.4 |
| 479 | 2025-12-27 10:35:38 | plotline | 3 | 146162 | 121 | 8.080 | 18089.4 |
| 478 | 2025-12-27 08:41:00 | plotline | 1 | 82945 | 3 | 1.530 | 54212.4 |
| 477 | 2025-12-24 03:53:09 | plotline | 3 | 146162 | 121 | 7.876 | 18557.9 |
| 476 | 2025-12-22 15:47:31 | plotline | 3 | 146162 | 121 | 7.826 | 18676.5 |
| 475 | 2025-12-21 13:48:31 | plotline | 2 | 121059 | 11 | 5.983 | 20233.8 |
| 474 | 2025-12-21 09:08:38 | plotline | 2 | 121059 | 11 | 3.830 | 31608.1 |
| 473 | 2025-12-20 09:23:31 | plotline | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 472 | 2025-12-20 09:21:22 | plotline | 1 | 82945 | 3 | 1.373 | 60411.5 |
| 471 | 2025-12-18 12:45:53 | plotline | 1 | 82945 | 3 | 2.610 | 31779.7 |
| 470 | 2025-12-18 11:23:21 | plotline | 1 | 82945 | 3 | 1.593 | 52068.4 |
| 469 | 2025-12-17 09:59:50 | plotline | 3 | 146162 | 121 | 6.920 | 21121.7 |
| 468 | 2025-12-13 13:02:47 | plotline | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 467 | 2025-12-01 23:30:28 | plotline | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 466 | 2025-12-01 19:41:09 | plotline | 3 | 146162 | 121 | 7.436 | 19656.0 |
| 465 | 2025-11-26 16:28:15 | plotline | 3 | 146162 | 121 | 24.826 | 5887.5 |
| 464 | 2025-11-21 18:03:56 | plotline | 1 | 82945 | 3 | 1.936 | 42843.5 |
| 463 | 2025-11-16 16:50:48 | plotline | 1 | 82945 | 3 | 2.313 | 35860.4 |
| 462 | 2025-11-15 11:56:13 | plotline | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 461 | 2025-11-15 09:30:28 | plotline | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 460 | 2025-11-13 15:38:49 | plotline | 2 | 121059 | 11 | 3.720 | 32542.7 |
| 459 | 2025-11-05 12:48:49 | plotline | 3 | 146162 | 121 | 7.330 | 19940.2 |
| 458 | 2025-11-05 00:22:03 | plotline | 2 | 121059 | 11 | 3.300 | 36684.5 |
| 457 | 2025-11-04 18:32:16 | plotline | 2 | 121059 | 11 | 6.843 | 17690.9 |
| 456 | 2025-11-03 02:04:47 | plotline | 2 | 121059 | 11 | 3.486 | 34727.2 |
| 455 | 2025-11-02 16:50:54 | plotline | 2 | 121059 | 11 | 3.686 | 32842.9 |
| 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 |