History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"granular"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 486 | 2025-10-31 04:26:58 | granular | 3 | 146162 | 87 | 8.690 | 16819.6 |
| 485 | 2025-10-09 02:24:39 | granular | 4 | 161609 | 537 | 12.720 | 12705.1 |
| 484 | 2025-10-08 14:10:25 | granular | 3 | 146162 | 87 | 6.593 | 22169.3 |
| 483 | 2025-10-03 03:48:16 | granular | 3 | 146162 | 87 | 6.516 | 22431.2 |
| 482 | 2025-10-02 22:21:07 | granular | 4 | 161609 | 537 | 12.626 | 12799.7 |
| 481 | 2025-09-20 17:58:58 | granular | 4 | 161609 | 537 | 27.096 | 5964.3 |
| 480 | 2025-09-19 18:01:00 | granular | 1 | 82945 | 2 | 1.406 | 58993.6 |
| 479 | 2025-09-16 10:48:14 | granular | 3 | 146162 | 87 | 7.376 | 19815.9 |
| 478 | 2025-09-15 19:34:05 | granular | 4 | 161609 | 537 | 16.220 | 9963.6 |
| 477 | 2025-09-15 17:33:09 | granular | 3 | 146162 | 87 | 7.126 | 20511.1 |
| 476 | 2025-09-15 12:58:19 | granular | 2 | 121059 | 16 | 3.720 | 32542.7 |
| 475 | 2025-09-14 19:17:50 | granular | 2 | 121059 | 16 | 3.326 | 36397.8 |
| 474 | 2025-08-17 10:09:34 | granular | 1 | 82945 | 2 | 3.686 | 22502.7 |
| 473 | 2025-08-12 18:03:24 | granular | 1 | 82945 | 2 | 3.170 | 26165.6 |
| 472 | 2025-08-05 06:39:40 | granular | 3 | 146162 | 87 | 18.783 | 7781.6 |
| 471 | 2025-08-04 14:37:35 | granular | 1 | 82945 | 2 | 6.703 | 12374.3 |
| 470 | 2025-08-01 07:58:23 | granular | 3 | 146162 | 87 | 22.673 | 6446.5 |
| 469 | 2025-08-01 06:45:25 | granular | 1 | 82945 | 2 | 4.873 | 17021.3 |
| 468 | 2025-07-27 15:01:33 | granular | 3 | 146162 | 87 | 25.800 | 5665.2 |
| 467 | 2025-07-27 12:54:30 | granular | 1 | 82945 | 2 | 3.250 | 25521.5 |
| 466 | 2025-07-27 03:36:34 | granular | 2 | 121059 | 16 | 9.110 | 13288.6 |
| 465 | 2025-07-27 00:03:12 | granular | 3 | 146162 | 87 | 21.343 | 6848.2 |
| 464 | 2025-07-26 22:31:07 | granular | 1 | 82945 | 2 | 3.640 | 22787.1 |
| 463 | 2025-07-24 23:33:47 | granular | 1 | 82945 | 2 | 4.313 | 19231.4 |
| 462 | 2025-07-17 13:28:16 | granular | 1 | 82945 | 2 | 2.843 | 29175.2 |
| 461 | 2025-07-16 19:36:13 | granular | 2 | 121059 | 16 | 3.983 | 30393.9 |
| 460 | 2025-07-15 21:49:28 | granular | 2 | 121059 | 16 | 4.000 | 30264.8 |
| 459 | 2025-07-10 16:05:37 | granular | 1 | 82945 | 2 | 4.610 | 17992.4 |
| 458 | 2025-07-09 19:19:01 | granular | 2 | 121059 | 16 | 3.686 | 32842.9 |
| 457 | 2025-07-09 16:51:42 | granular | 1 | 82945 | 2 | 1.313 | 63172.1 |
| 456 | 2025-07-06 23:15:03 | granular | 3 | 146162 | 87 | 34.270 | 4265.0 |
| 455 | 2025-07-05 12:34:57 | granular | 3 | 146162 | 87 | 24.266 | 6023.3 |
| 454 | 2025-07-05 09:51:08 | granular | 3 | 146162 | 87 | 50.360 | 2902.3 |
| 453 | 2025-06-30 21:31:12 | granular | 1 | 82945 | 2 | 7.046 | 11771.9 |
| 452 | 2025-06-29 23:39:24 | granular | 3 | 146162 | 87 | 24.390 | 5992.7 |
| 451 | 2025-06-29 20:39:27 | granular | 3 | 146162 | 87 | 37.143 | 3935.1 |
| 450 | 2025-06-27 11:16:47 | granular | 1 | 82945 | 2 | 7.220 | 11488.2 |
| 449 | 2025-06-22 14:29:09 | granular | 3 | 146162 | 87 | 37.170 | 3932.3 |
| 448 | 2025-06-14 20:04:49 | granular | 1 | 82945 | 2 | 8.313 | 9977.7 |
| 447 | 2025-06-14 08:29:22 | granular | 3 | 146162 | 87 | 53.133 | 2750.9 |
| 446 | 2025-06-12 08:01:57 | granular | 3 | 146162 | 87 | 42.170 | 3466.0 |
| 445 | 2025-06-10 12:44:11 | granular | 1 | 82945 | 2 | 4.830 | 17172.9 |
| 444 | 2025-06-09 03:13:51 | granular | 1 | 82945 | 2 | 1.423 | 58288.8 |
| 443 | 2025-06-08 10:51:16 | granular | 1 | 82945 | 2 | 6.830 | 12144.2 |
| 442 | 2025-06-07 19:19:21 | granular | 2 | 121059 | 16 | 12.093 | 10010.7 |
| 441 | 2025-06-07 13:48:08 | granular | 1 | 82945 | 2 | 6.033 | 13748.5 |
| 440 | 2025-06-05 21:30:01 | granular | 1 | 82945 | 2 | 3.920 | 21159.4 |
| 439 | 2025-06-01 09:03:11 | granular | 3 | 146162 | 87 | 38.126 | 3833.7 |
| 438 | 2025-05-29 22:19:17 | granular | 3 | 146162 | 87 | 35.503 | 4116.9 |
| 437 | 2025-05-29 12:10:38 | granular | 2 | 121059 | 16 | 9.046 | 13382.6 |
| 436 | 2025-05-29 07:18:59 | granular | 4 | 161609 | 537 | 56.753 | 2847.6 |
| 435 | 2025-05-27 21:12:47 | granular | 3 | 146162 | 87 | 7.576 | 19292.8 |
| 434 | 2025-05-20 15:00:05 | granular | 3 | 146162 | 87 | 49.703 | 2940.7 |
| 433 | 2025-05-20 03:21:08 | granular | 2 | 121059 | 16 | 13.000 | 9312.2 |
| 432 | 2025-05-19 19:05:22 | granular | 1 | 82945 | 2 | 4.686 | 17700.6 |
| 431 | 2025-05-18 14:42:29 | granular | 2 | 121059 | 16 | 25.516 | 4744.4 |
| 430 | 2025-05-17 23:02:41 | granular | 3 | 146162 | 87 | 43.603 | 3352.1 |
| 429 | 2025-05-15 19:42:36 | granular | 1 | 82945 | 2 | 6.046 | 13719.0 |
| 428 | 2025-05-10 17:12:47 | granular | 1 | 82945 | 2 | 4.703 | 17636.6 |
| 427 | 2025-05-08 11:02:11 | granular | 1 | 82945 | 2 | 6.830 | 12144.2 |
| 426 | 2025-05-06 16:28:43 | granular | 1 | 82945 | 2 | 5.766 | 14385.2 |
| 425 | 2025-05-03 21:19:24 | granular | 1 | 82945 | 2 | 6.610 | 12548.4 |
| 424 | 2025-04-30 07:28:40 | granular | 3 | 146162 | 87 | 29.810 | 4903.1 |
| 423 | 2025-04-25 20:01:36 | granular | 3 | 146162 | 87 | 38.720 | 3774.8 |
| 422 | 2025-04-24 07:00:14 | granular | 3 | 146162 | 87 | 36.373 | 4018.4 |
| 421 | 2025-04-23 07:28:30 | granular | 3 | 146162 | 87 | 28.673 | 5097.5 |
| 420 | 2025-04-15 19:33:07 | granular | 1 | 82945 | 2 | 4.640 | 17876.1 |
| 419 | 2025-04-09 14:51:31 | granular | 3 | 146162 | 87 | 29.116 | 5020.0 |
| 418 | 2025-04-06 10:17:13 | granular | 1 | 82945 | 2 | 9.780 | 8481.1 |
| 417 | 2025-03-28 22:34:05 | granular | 1 | 82945 | 2 | 4.156 | 19957.9 |
| 416 | 2025-03-27 09:00:27 | granular | 3 | 146162 | 87 | 33.956 | 4304.5 |
| 415 | 2025-03-22 21:14:46 | granular | 3 | 146162 | 87 | 32.033 | 4562.9 |
| 414 | 2025-03-20 14:50:57 | granular | 1 | 82945 | 2 | 5.126 | 16181.2 |
| 413 | 2025-03-03 10:27:42 | granular | 3 | 146162 | 87 | 39.566 | 3694.1 |
| 412 | 2025-02-27 19:27:00 | granular | 3 | 146162 | 87 | 37.956 | 3850.8 |
| 411 | 2025-02-25 04:24:22 | granular | 1 | 82945 | 2 | 9.343 | 8877.8 |
| 410 | 2025-02-15 18:01:50 | granular | 1 | 82945 | 2 | 3.500 | 23698.6 |
| 409 | 2025-02-15 04:21:54 | granular | 3 | 146162 | 87 | 27.283 | 5357.3 |
| 408 | 2025-02-12 18:51:15 | granular | 3 | 146162 | 87 | 39.673 | 3684.2 |
| 407 | 2025-02-12 18:51:03 | granular | 2 | 121059 | 16 | 13.436 | 9010.0 |
| 406 | 2025-02-12 18:50:22 | granular | 3 | 146162 | 87 | 42.123 | 3469.9 |
| 405 | 2025-02-12 18:50:49 | granular | 1 | 82945 | 2 | 7.390 | 11224.0 |
| 404 | 2025-02-11 08:31:28 | granular | 3 | 146162 | 87 | 37.313 | 3917.2 |
| 403 | 2025-02-10 22:53:03 | granular | 3 | 146162 | 87 | 38.490 | 3797.4 |
| 402 | 2025-02-08 01:52:48 | granular | 1 | 82945 | 2 | 3.576 | 23194.9 |
| 401 | 2025-02-05 17:15:12 | granular | 1 | 82945 | 2 | 3.236 | 25632.0 |
| 400 | 2025-01-23 23:51:28 | granular | 2 | 121059 | 16 | 16.423 | 7371.3 |
| 399 | 2025-01-23 23:51:17 | granular | 1 | 82945 | 2 | 7.250 | 11440.7 |
| 398 | 2025-01-09 17:37:25 | granular | 2 | 121059 | 16 | 3.936 | 30756.9 |
| 397 | 2025-01-09 16:35:20 | granular | 3 | 146162 | 87 | 42.956 | 3402.6 |
| 396 | 2025-01-09 00:13:55 | granular | 3 | 146162 | 87 | 32.003 | 4567.1 |
| 395 | 2025-01-08 14:33:47 | granular | 3 | 146162 | 87 | 7.563 | 19325.9 |
| 394 | 2025-01-08 10:51:00 | granular | 1 | 82945 | 2 | 9.846 | 8424.2 |
| 393 | 2025-01-08 06:23:25 | granular | 3 | 146162 | 87 | 26.160 | 5587.2 |
| 392 | 2025-01-07 13:09:20 | granular | 3 | 146162 | 87 | 42.240 | 3460.3 |
| 391 | 2025-01-07 09:30:41 | granular | 2 | 121059 | 16 | 4.360 | 27765.8 |
| 390 | 2025-01-05 10:40:40 | granular | 1 | 82945 | 2 | 8.296 | 9998.2 |
| 389 | 2024-12-30 22:20:29 | granular | 2 | 121059 | 16 | 19.376 | 6247.9 |
| 388 | 2024-12-30 22:20:23 | granular | 1 | 82945 | 2 | 3.143 | 26390.4 |
| 387 | 2024-12-30 03:49:04 | granular | 2 | 121059 | 16 | 16.936 | 7148.0 |