History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subplots"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 481 | 2025-11-10 14:26:08 | subplots | 1 | 82945 | 3 | 1.750 | 47397.1 |
| 480 | 2025-11-10 07:36:12 | subplots | 2 | 121059 | 7 | 3.250 | 37248.9 |
| 479 | 2025-11-04 18:27:44 | subplots | 2 | 121059 | 7 | 3.373 | 35890.6 |
| 478 | 2025-10-31 10:35:41 | subplots | 2 | 121059 | 7 | 3.733 | 32429.4 |
| 477 | 2025-10-28 21:07:02 | subplots | 2 | 121059 | 7 | 3.750 | 32282.4 |
| 476 | 2025-10-28 14:42:06 | subplots | 1 | 82945 | 3 | 1.560 | 53169.9 |
| 475 | 2025-10-28 06:40:43 | subplots | 2 | 121059 | 7 | 3.830 | 31608.1 |
| 474 | 2025-10-28 01:57:01 | subplots | 3 | 146162 | 71 | 7.470 | 19566.5 |
| 473 | 2025-10-27 20:03:31 | subplots | 1 | 82945 | 3 | 7.016 | 11822.3 |
| 472 | 2025-10-27 05:59:50 | subplots | 1 | 82945 | 3 | 1.516 | 54713.1 |
| 471 | 2025-10-27 05:35:10 | subplots | 1 | 82945 | 3 | 1.436 | 57761.1 |
| 470 | 2025-10-26 21:26:06 | subplots | 3 | 146162 | 71 | 7.000 | 20880.3 |
| 469 | 2025-10-26 13:35:23 | subplots | 3 | 146162 | 71 | 6.876 | 21256.8 |
| 468 | 2025-10-26 05:48:26 | subplots | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 467 | 2025-10-25 22:02:10 | subplots | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 466 | 2025-10-25 10:54:42 | subplots | 1 | 82945 | 3 | 1.516 | 54713.1 |
| 465 | 2025-10-24 07:14:12 | subplots | 2 | 121059 | 7 | 3.423 | 35366.3 |
| 464 | 2025-10-23 15:17:23 | subplots | 3 | 146162 | 71 | 27.673 | 5281.8 |
| 463 | 2025-10-22 06:38:54 | subplots | 2 | 121059 | 7 | 11.470 | 10554.4 |
| 462 | 2025-10-16 02:42:59 | subplots | 1 | 82945 | 3 | 1.533 | 54106.3 |
| 461 | 2025-10-14 02:50:27 | subplots | 1 | 82945 | 3 | 1.436 | 57761.1 |
| 460 | 2025-10-11 14:38:25 | subplots | 1 | 82945 | 3 | 1.436 | 57761.1 |
| 459 | 2025-10-06 16:54:28 | subplots | 1 | 82945 | 3 | 1.440 | 57600.7 |
| 458 | 2025-10-02 18:40:54 | subplots | 4 | 161609 | 710 | 12.763 | 12662.3 |
| 457 | 2025-09-29 17:32:09 | subplots | 1 | 82945 | 3 | 1.326 | 62552.8 |
| 456 | 2025-09-27 14:43:42 | subplots | 1 | 82945 | 3 | 1.346 | 61623.3 |
| 455 | 2025-09-26 11:28:38 | subplots | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 454 | 2025-09-25 07:03:36 | subplots | 1 | 82945 | 3 | 7.033 | 11793.7 |
| 453 | 2025-09-25 07:03:25 | subplots | 1 | 82945 | 3 | 9.080 | 9134.9 |
| 452 | 2025-09-25 07:03:29 | subplots | 1 | 82945 | 3 | 3.876 | 21399.6 |
| 451 | 2025-09-25 07:03:24 | subplots | 1 | 82945 | 3 | 3.813 | 21753.2 |
| 450 | 2025-09-24 10:41:09 | subplots | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 449 | 2025-09-23 07:20:58 | subplots | 4 | 161609 | 710 | 11.423 | 14147.7 |
| 448 | 2025-09-22 21:23:45 | subplots | 4 | 161609 | 710 | 11.236 | 14383.1 |
| 447 | 2025-09-17 21:44:01 | subplots | 1 | 82945 | 3 | 1.533 | 54106.3 |
| 446 | 2025-09-15 02:29:32 | subplots | 1 | 82945 | 3 | 1.326 | 62552.8 |
| 445 | 2025-09-14 17:54:16 | subplots | 1 | 82945 | 3 | 3.453 | 24021.1 |
| 444 | 2025-09-13 23:47:20 | subplots | 1 | 82945 | 3 | 1.330 | 62364.7 |
| 443 | 2025-09-13 02:27:40 | subplots | 1 | 82945 | 3 | 1.720 | 48223.8 |
| 442 | 2025-09-12 17:48:56 | subplots | 1 | 82945 | 3 | 1.546 | 53651.4 |
| 441 | 2025-09-11 03:54:55 | subplots | 4 | 161609 | 710 | 11.550 | 13992.1 |
| 440 | 2025-09-10 17:05:00 | subplots | 1 | 82945 | 3 | 1.546 | 53651.4 |
| 439 | 2025-09-10 12:49:04 | subplots | 4 | 161609 | 710 | 12.863 | 12563.9 |
| 438 | 2025-09-08 07:46:23 | subplots | 1 | 82945 | 3 | 1.406 | 58993.6 |
| 437 | 2025-09-06 07:48:28 | subplots | 2 | 121059 | 7 | 3.563 | 33976.7 |
| 436 | 2025-09-05 12:00:09 | subplots | 1 | 82945 | 3 | 1.406 | 58993.6 |
| 435 | 2025-09-02 17:42:42 | subplots | 3 | 146162 | 71 | 6.953 | 21021.4 |
| 434 | 2025-09-01 02:07:24 | subplots | 4 | 161609 | 710 | 10.593 | 15256.2 |
| 433 | 2025-08-31 22:39:05 | subplots | 2 | 121059 | 7 | 3.296 | 36729.1 |
| 432 | 2025-08-30 15:41:52 | subplots | 4 | 161609 | 710 | 11.423 | 14147.7 |
| 431 | 2025-08-30 12:57:30 | subplots | 3 | 146162 | 71 | 6.220 | 23498.7 |
| 430 | 2025-08-29 13:34:53 | subplots | 4 | 161609 | 710 | 10.983 | 14714.5 |
| 429 | 2025-08-29 08:01:30 | subplots | 2 | 121059 | 7 | 3.343 | 36212.7 |
| 428 | 2025-08-29 04:43:25 | subplots | 2 | 121059 | 7 | 3.406 | 35542.9 |
| 427 | 2025-08-28 16:46:41 | subplots | 2 | 121059 | 7 | 3.843 | 31501.2 |
| 426 | 2025-08-28 05:46:51 | subplots | 3 | 146162 | 71 | 6.610 | 22112.3 |
| 425 | 2025-08-27 22:14:42 | subplots | 3 | 146162 | 71 | 7.690 | 19006.8 |
| 424 | 2025-08-27 20:12:39 | subplots | 3 | 146162 | 71 | 6.826 | 21412.5 |
| 423 | 2025-08-27 15:22:17 | subplots | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 422 | 2025-08-27 10:21:19 | subplots | 1 | 82945 | 3 | 1.546 | 53651.4 |
| 421 | 2025-08-24 17:24:25 | subplots | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 420 | 2025-08-24 10:31:39 | subplots | 1 | 82945 | 3 | 7.190 | 11536.2 |
| 419 | 2025-08-18 21:00:39 | subplots | 1 | 82945 | 3 | 7.690 | 10786.1 |
| 418 | 2025-08-09 04:22:20 | subplots | 1 | 82945 | 3 | 9.203 | 9012.8 |
| 417 | 2025-07-27 04:47:39 | subplots | 3 | 146162 | 71 | 41.703 | 3504.8 |
| 416 | 2025-07-27 03:04:55 | subplots | 1 | 82945 | 3 | 4.173 | 19876.6 |
| 415 | 2025-07-23 06:41:16 | subplots | 3 | 146162 | 71 | 37.690 | 3878.0 |
| 414 | 2025-07-02 12:52:01 | subplots | 1 | 82945 | 3 | 4.720 | 17573.1 |
| 413 | 2025-07-02 07:59:34 | subplots | 3 | 146162 | 71 | 40.016 | 3652.6 |
| 412 | 2025-07-02 07:33:45 | subplots | 3 | 146162 | 71 | 34.486 | 4238.3 |
| 411 | 2025-06-28 05:09:29 | subplots | 2 | 121059 | 7 | 11.800 | 10259.2 |
| 410 | 2025-06-28 04:56:24 | subplots | 3 | 146162 | 71 | 37.890 | 3857.5 |
| 409 | 2025-06-27 20:15:53 | subplots | 3 | 146162 | 71 | 7.423 | 19690.4 |
| 408 | 2025-06-27 02:31:50 | subplots | 1 | 82945 | 3 | 6.906 | 12010.6 |
| 407 | 2025-06-25 22:45:17 | subplots | 3 | 146162 | 71 | 36.410 | 4014.3 |
| 406 | 2025-06-24 15:16:04 | subplots | 1 | 82945 | 3 | 7.000 | 11849.3 |
| 405 | 2025-06-23 03:34:21 | subplots | 1 | 82945 | 3 | 3.110 | 26670.4 |
| 404 | 2025-06-23 02:07:16 | subplots | 1 | 82945 | 3 | 10.706 | 7747.5 |
| 403 | 2025-06-20 12:33:21 | subplots | 1 | 82945 | 3 | 7.343 | 11295.8 |
| 402 | 2025-06-19 11:33:51 | subplots | 3 | 146162 | 71 | 33.533 | 4358.8 |
| 401 | 2025-06-12 10:39:09 | subplots | 1 | 82945 | 3 | 4.453 | 18626.8 |
| 400 | 2025-06-01 19:18:06 | subplots | 1 | 82945 | 3 | 6.453 | 12853.7 |
| 399 | 2025-05-30 15:20:58 | subplots | 1 | 82945 | 3 | 7.093 | 11693.9 |
| 398 | 2025-05-30 01:56:12 | subplots | 1 | 82945 | 3 | 4.533 | 18298.0 |
| 397 | 2025-05-19 09:50:44 | subplots | 1 | 82945 | 3 | 2.203 | 37650.9 |
| 396 | 2025-05-18 06:27:17 | subplots | 1 | 82945 | 3 | 7.390 | 11224.0 |
| 395 | 2025-05-18 04:19:12 | subplots | 1 | 82945 | 3 | 4.080 | 20329.7 |
| 394 | 2025-05-10 12:16:34 | subplots | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 393 | 2025-05-09 11:20:34 | subplots | 1 | 82945 | 3 | 1.530 | 54212.4 |
| 392 | 2025-04-28 10:40:44 | subplots | 1 | 82945 | 3 | 3.423 | 24231.7 |
| 391 | 2025-04-20 02:50:40 | subplots | 1 | 82945 | 3 | 3.626 | 22875.1 |
| 390 | 2025-04-18 13:49:47 | subplots | 1 | 82945 | 3 | 3.953 | 20982.8 |
| 389 | 2025-04-16 10:27:21 | subplots | 1 | 82945 | 3 | 7.470 | 11103.7 |
| 388 | 2025-03-20 04:37:58 | subplots | 1 | 82945 | 3 | 6.843 | 12121.1 |
| 387 | 2025-03-15 11:27:39 | subplots | 1 | 82945 | 3 | 5.893 | 14075.2 |
| 386 | 2025-03-12 08:23:29 | subplots | 1 | 82945 | 3 | 9.250 | 8967.0 |
| 385 | 2025-03-10 13:23:10 | subplots | 1 | 82945 | 3 | 9.000 | 9216.1 |
| 384 | 2025-03-10 08:08:31 | subplots | 3 | 146162 | 71 | 33.050 | 4422.5 |
| 383 | 2025-03-10 06:50:06 | subplots | 3 | 146162 | 71 | 26.423 | 5531.6 |
| 382 | 2025-03-08 14:36:52 | subplots | 1 | 82945 | 3 | 10.110 | 8204.3 |