History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"model"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 521 | 2024-05-03 16:32:25 | model | 1 | 28756 | 10 | 0.686 | 41918.4 |
| 520 | 2024-05-03 08:04:52 | model | 1 | 28756 | 10 | 0.563 | 51076.4 |
| 519 | 2024-04-30 10:08:27 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 518 | 2024-04-29 08:12:54 | model | 1 | 28756 | 10 | 0.486 | 59168.7 |
| 517 | 2024-04-26 03:24:10 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 516 | 2024-04-12 23:47:59 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 515 | 2024-04-12 23:44:37 | model | 1 | 28756 | 10 | 0.533 | 53951.2 |
| 514 | 2024-04-12 23:44:10 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 513 | 2024-04-12 23:29:50 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 512 | 2024-04-03 05:10:34 | model | 1 | 28756 | 10 | 1.700 | 16915.3 |
| 511 | 2024-03-31 06:21:46 | model | 2 | 53800 | 117 | 3.673 | 14647.4 |
| 510 | 2024-03-31 06:09:48 | model | 1 | 28756 | 10 | 1.140 | 25224.6 |
| 509 | 2024-03-29 02:36:04 | model | 1 | 28756 | 10 | 0.890 | 32310.1 |
| 508 | 2024-03-03 23:07:33 | model | 2 | 53800 | 117 | 3.766 | 14285.7 |
| 507 | 2024-03-03 22:31:26 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 506 | 2024-03-01 03:56:36 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 505 | 2024-02-28 01:09:52 | model | 1 | 28756 | 10 | 1.080 | 26625.9 |
| 504 | 2024-02-25 21:46:38 | model | 2 | 53800 | 117 | 1.796 | 29955.5 |
| 503 | 2024-01-28 20:11:55 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 502 | 2024-01-28 20:07:09 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 501 | 2024-01-27 18:02:15 | model | 1 | 28756 | 10 | 0.576 | 49923.6 |
| 500 | 2024-01-19 06:17:52 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 499 | 2024-01-05 14:52:20 | model | 2 | 53800 | 117 | 1.406 | 38264.6 |
| 498 | 2023-12-14 08:15:22 | model | 2 | 53800 | 117 | 1.593 | 33772.8 |
| 497 | 2023-11-21 22:46:39 | model | 2 | 53800 | 117 | 1.576 | 34137.1 |
| 496 | 2023-11-16 01:08:07 | model | 1 | 28756 | 10 | 0.563 | 51076.4 |
| 495 | 2023-11-14 06:26:53 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 494 | 2023-11-11 18:16:27 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 493 | 2023-11-04 09:10:36 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 492 | 2023-10-21 21:19:33 | model | 1 | 28756 | 10 | 1.063 | 27051.7 |
| 491 | 2023-10-19 02:59:48 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 490 | 2023-10-11 16:40:42 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 489 | 2023-10-08 15:01:09 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 488 | 2023-10-05 23:12:23 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 487 | 2023-09-29 08:58:12 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 486 | 2023-09-28 03:44:04 | model | 2 | 53800 | 117 | 1.530 | 35163.4 |
| 485 | 2023-09-22 14:31:43 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 484 | 2023-09-01 23:16:10 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 483 | 2023-06-19 00:12:11 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 482 | 2023-06-08 17:09:33 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 481 | 2023-03-27 23:34:21 | model | 1 | 28756 | 10 | 0.486 | 59168.7 |
| 480 | 2023-02-27 22:20:27 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 479 | 2023-01-12 14:23:15 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 478 | 2022-11-07 14:17:43 | model | 1 | 28756 | 10 | 0.466 | 61708.2 |
| 477 | 2022-11-02 05:59:03 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 476 | 2022-09-19 20:49:48 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 475 | 2022-09-18 15:25:49 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 474 | 2022-09-12 09:08:13 | model | 2 | 53800 | 117 | 1.653 | 32546.9 |
| 473 | 2022-09-01 13:43:49 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 472 | 2022-08-31 03:35:59 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 471 | 2022-08-14 11:45:12 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 470 | 2022-07-30 06:02:44 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 469 | 2022-07-21 21:19:33 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 468 | 2022-06-22 04:01:26 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 467 | 2022-06-19 23:02:27 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 466 | 2022-03-31 01:56:54 | model | 1 | 28756 | 10 | 1.046 | 27491.4 |
| 465 | 2022-02-27 10:34:55 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 464 | 2022-02-25 06:36:53 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 463 | 2022-02-07 10:42:06 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 462 | 2022-02-06 09:36:45 | model | 1 | 28756 | 10 | 0.466 | 61708.2 |
| 461 | 2022-02-05 08:14:35 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 460 | 2022-02-04 08:26:17 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 459 | 2022-02-04 01:57:20 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 458 | 2022-02-03 02:46:41 | model | 1 | 28756 | 10 | 1.013 | 28387.0 |
| 457 | 2022-02-02 08:13:02 | model | 1 | 28756 | 10 | 0.983 | 29253.3 |
| 456 | 2022-02-01 06:05:54 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 455 | 2022-01-31 04:08:06 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 454 | 2022-01-30 09:44:04 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 453 | 2022-01-29 08:57:44 | model | 1 | 28756 | 10 | 1.030 | 27918.4 |
| 452 | 2021-12-19 20:07:17 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 451 | 2021-12-14 06:00:28 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 450 | 2021-10-23 13:09:07 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 449 | 2021-10-21 11:36:34 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 448 | 2021-09-12 14:25:23 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 447 | 2021-09-07 03:06:02 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 446 | 2021-08-22 16:25:16 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 445 | 2021-06-16 10:04:18 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 444 | 2021-06-12 10:00:05 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 443 | 2021-04-18 07:34:43 | model | 2 | 53800 | 117 | 1.593 | 33772.8 |
| 442 | 2021-03-09 08:21:49 | model | 1 | 28756 | 10 | 0.763 | 37688.1 |
| 441 | 2021-03-06 02:43:27 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 440 | 2021-01-30 20:20:05 | model | 2 | 53800 | 117 | 1.703 | 31591.3 |
| 439 | 2021-01-10 08:30:30 | model | 1 | 28756 | 10 | 0.440 | 65354.5 |
| 438 | 2020-12-01 16:34:47 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 437 | 2020-10-31 05:18:36 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 436 | 2020-10-26 23:34:33 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 435 | 2020-10-16 07:28:05 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 434 | 2020-09-28 16:13:05 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 433 | 2020-08-27 16:16:12 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 432 | 2020-08-22 20:14:14 | model | 1 | 28756 | 10 | 0.640 | 44931.3 |
| 431 | 2020-08-15 07:27:31 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 430 | 2020-08-01 15:38:46 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 429 | 2020-07-29 18:13:14 | model | 1 | 28756 | 10 | 0.450 | 63902.2 |
| 428 | 2020-07-28 10:02:32 | model | 1 | 28756 | 10 | 0.456 | 63061.4 |
| 427 | 2020-07-26 06:28:28 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 426 | 2020-07-23 10:57:08 | model | 1 | 28756 | 10 | 0.466 | 61708.2 |
| 425 | 2020-05-26 03:57:46 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 424 | 2020-03-31 15:49:42 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 423 | 2020-03-30 09:17:56 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 422 | 2020-03-25 07:26:08 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |