History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biometric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 468 | 2025-10-27 13:38:08 | biometric | 1 | 81242 | 2 | 1.450 | 56029.0 |
| 467 | 2025-10-24 00:17:17 | biometric | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 466 | 2025-10-22 13:12:34 | biometric | 1 | 81242 | 2 | 6.563 | 12378.8 |
| 465 | 2025-10-15 08:58:00 | biometric | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 464 | 2025-10-07 08:47:43 | biometric | 1 | 81242 | 2 | 1.263 | 64324.6 |
| 463 | 2025-10-01 16:02:24 | biometric | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 462 | 2025-10-01 10:00:24 | biometric | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 461 | 2025-09-26 13:26:35 | biometric | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 460 | 2025-09-25 00:54:42 | biometric | 1 | 81242 | 2 | 4.716 | 17226.9 |
| 459 | 2025-09-20 04:59:19 | biometric | 1 | 81242 | 2 | 1.393 | 58321.6 |
| 458 | 2025-09-16 06:29:59 | biometric | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 457 | 2025-09-10 13:59:09 | biometric | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 456 | 2025-09-04 00:59:00 | biometric | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 455 | 2025-09-02 14:20:23 | biometric | 2 | 121436 | 15 | 3.203 | 37913.2 |
| 454 | 2025-08-31 12:05:10 | biometric | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 453 | 2025-08-28 18:57:43 | biometric | 2 | 121436 | 15 | 3.500 | 34696.0 |
| 452 | 2025-08-28 12:12:37 | biometric | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 451 | 2025-08-25 13:47:42 | biometric | 2 | 121436 | 15 | 10.093 | 12031.7 |
| 450 | 2025-08-24 21:18:57 | biometric | 3 | 148641 | 60 | 41.940 | 3544.1 |
| 449 | 2025-08-24 20:44:24 | biometric | 3 | 148641 | 60 | 32.673 | 4549.4 |
| 448 | 2025-08-24 13:19:08 | biometric | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 447 | 2025-08-18 02:59:36 | biometric | 1 | 81242 | 2 | 9.000 | 9026.9 |
| 446 | 2025-08-05 10:01:30 | biometric | 1 | 81242 | 2 | 3.716 | 21862.8 |
| 445 | 2025-08-05 04:22:23 | biometric | 1 | 81242 | 2 | 3.156 | 25742.1 |
| 444 | 2025-08-01 04:14:20 | biometric | 1 | 81242 | 2 | 3.486 | 23305.2 |
| 443 | 2025-07-17 11:17:03 | biometric | 1 | 81242 | 2 | 8.703 | 9334.9 |
| 442 | 2025-07-13 22:43:16 | biometric | 2 | 121436 | 15 | 8.830 | 13752.7 |
| 441 | 2025-07-13 07:08:31 | biometric | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 440 | 2025-07-12 21:32:04 | biometric | 1 | 81242 | 2 | 1.830 | 44394.5 |
| 439 | 2025-07-10 17:45:50 | biometric | 1 | 81242 | 2 | 7.063 | 11502.5 |
| 438 | 2025-07-02 03:05:18 | biometric | 1 | 81242 | 2 | 5.923 | 13716.4 |
| 437 | 2025-06-21 01:14:17 | biometric | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 436 | 2025-06-17 04:07:39 | biometric | 1 | 81242 | 2 | 6.733 | 12066.2 |
| 435 | 2025-06-15 20:21:07 | biometric | 1 | 81242 | 2 | 4.420 | 18380.5 |
| 434 | 2025-06-03 18:58:41 | biometric | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 433 | 2025-06-03 18:51:59 | biometric | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 432 | 2025-05-26 12:31:16 | biometric | 1 | 81242 | 2 | 4.813 | 16879.7 |
| 431 | 2025-05-26 07:16:14 | biometric | 1 | 81242 | 2 | 6.753 | 12030.5 |
| 430 | 2025-05-14 21:47:37 | biometric | 1 | 81242 | 2 | 1.346 | 60358.1 |
| 429 | 2025-05-08 14:41:13 | biometric | 1 | 81242 | 2 | 6.720 | 12089.6 |
| 428 | 2025-05-04 16:07:25 | biometric | 3 | 148641 | 60 | 36.250 | 4100.4 |
| 427 | 2025-05-04 09:14:25 | biometric | 2 | 121436 | 15 | 14.296 | 8494.4 |
| 426 | 2025-05-04 02:18:44 | biometric | 3 | 148641 | 60 | 34.360 | 4326.0 |
| 425 | 2025-05-02 21:12:46 | biometric | 3 | 148641 | 60 | 19.126 | 7771.7 |
| 424 | 2025-04-27 15:44:30 | biometric | 3 | 148641 | 60 | 7.453 | 19943.8 |
| 423 | 2025-04-26 14:26:06 | biometric | 1 | 81242 | 2 | 6.843 | 11872.3 |
| 422 | 2025-04-20 13:16:04 | biometric | 1 | 81242 | 2 | 9.983 | 8138.0 |
| 421 | 2025-04-20 05:42:36 | biometric | 1 | 81242 | 2 | 3.456 | 23507.5 |
| 420 | 2025-04-04 14:16:20 | biometric | 1 | 81242 | 2 | 3.280 | 24768.9 |
| 419 | 2025-04-01 20:58:06 | biometric | 3 | 148641 | 60 | 34.703 | 4283.2 |
| 418 | 2025-03-29 03:51:19 | biometric | 3 | 148641 | 60 | 31.533 | 4713.8 |
| 417 | 2025-03-27 06:57:14 | biometric | 3 | 148641 | 60 | 18.453 | 8055.1 |
| 416 | 2025-03-26 16:12:41 | biometric | 3 | 148641 | 60 | 32.596 | 4560.1 |
| 415 | 2025-03-26 01:28:50 | biometric | 2 | 121436 | 15 | 3.813 | 31847.9 |
| 414 | 2025-03-25 20:46:44 | biometric | 3 | 148641 | 60 | 6.140 | 24208.6 |
| 413 | 2025-03-25 12:35:25 | biometric | 1 | 81242 | 2 | 3.110 | 26122.8 |
| 412 | 2025-03-23 02:28:15 | biometric | 2 | 121436 | 15 | 13.783 | 8810.6 |
| 411 | 2025-03-22 22:37:55 | biometric | 3 | 148641 | 60 | 51.486 | 2887.0 |
| 410 | 2025-03-22 15:46:15 | biometric | 1 | 81242 | 2 | 2.453 | 33119.4 |
| 409 | 2025-03-21 18:38:59 | biometric | 3 | 148641 | 60 | 39.910 | 3724.4 |
| 408 | 2025-03-21 01:52:06 | biometric | 1 | 81242 | 2 | 7.016 | 11579.5 |
| 407 | 2025-03-11 19:41:57 | biometric | 3 | 148641 | 60 | 26.283 | 5655.4 |
| 406 | 2025-03-06 03:53:02 | biometric | 3 | 148641 | 60 | 36.640 | 4056.8 |
| 405 | 2025-03-04 07:00:09 | biometric | 3 | 148641 | 60 | 51.883 | 2864.9 |
| 404 | 2025-03-01 03:28:30 | biometric | 3 | 148641 | 60 | 34.880 | 4261.5 |
| 403 | 2025-02-20 16:12:32 | biometric | 3 | 148641 | 60 | 36.580 | 4063.4 |
| 402 | 2025-02-20 04:51:18 | biometric | 1 | 81242 | 2 | 6.390 | 12713.9 |
| 401 | 2025-02-19 15:52:34 | biometric | 3 | 148641 | 60 | 25.830 | 5754.6 |
| 400 | 2025-02-19 11:12:10 | biometric | 3 | 148641 | 60 | 36.266 | 4098.6 |
| 399 | 2025-02-18 08:26:59 | biometric | 3 | 148641 | 60 | 43.190 | 3441.6 |
| 398 | 2025-02-18 08:20:09 | biometric | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 397 | 2025-02-11 11:18:39 | biometric | 2 | 121436 | 15 | 14.733 | 8242.4 |
| 396 | 2025-02-10 11:13:17 | biometric | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 395 | 2025-02-07 15:34:26 | biometric | 2 | 121436 | 15 | 19.390 | 6262.8 |
| 394 | 2025-02-07 14:57:27 | biometric | 1 | 81242 | 2 | 6.843 | 11872.3 |
| 393 | 2025-02-02 10:25:01 | biometric | 4 | 165329 | 219 | 71.006 | 2328.4 |
| 392 | 2025-02-02 02:27:16 | biometric | 4 | 165329 | 219 | 59.223 | 2791.6 |
| 391 | 2025-02-01 20:01:09 | biometric | 4 | 165329 | 219 | 66.600 | 2482.4 |
| 390 | 2025-02-01 19:53:35 | biometric | 4 | 165329 | 219 | 69.606 | 2375.2 |
| 389 | 2025-02-01 19:53:43 | biometric | 2 | 121436 | 15 | 15.970 | 7604.0 |
| 388 | 2025-02-01 19:51:38 | biometric | 1 | 81242 | 2 | 3.296 | 24648.7 |
| 387 | 2025-01-17 04:16:57 | biometric | 3 | 148641 | 60 | 28.313 | 5249.9 |
| 386 | 2025-01-15 11:56:47 | biometric | 3 | 148641 | 60 | 37.063 | 4010.5 |
| 385 | 2025-01-12 19:21:20 | biometric | 3 | 148641 | 60 | 37.536 | 3960.0 |
| 384 | 2025-01-11 10:20:07 | biometric | 3 | 148641 | 60 | 23.063 | 6445.0 |
| 383 | 2025-01-02 02:15:51 | biometric | 1 | 81242 | 2 | 3.046 | 26671.7 |
| 382 | 2024-12-28 23:07:44 | biometric | 1 | 81242 | 2 | 10.156 | 7999.4 |
| 381 | 2024-12-15 14:52:55 | biometric | 3 | 148641 | 60 | 36.300 | 4094.8 |
| 380 | 2024-12-08 03:23:47 | biometric | 3 | 148641 | 60 | 30.720 | 4838.6 |
| 379 | 2024-12-05 10:29:37 | biometric | 1 | 81242 | 2 | 6.390 | 12713.9 |
| 378 | 2024-12-05 04:05:47 | biometric | 3 | 148641 | 60 | 32.063 | 4635.9 |
| 377 | 2024-11-24 12:59:30 | biometric | 3 | 148641 | 60 | 34.723 | 4280.8 |
| 376 | 2024-11-24 12:59:32 | biometric | 2 | 121436 | 15 | 17.580 | 6907.6 |
| 375 | 2024-11-24 12:44:37 | biometric | 1 | 81242 | 2 | 1.203 | 67532.8 |
| 374 | 2024-11-23 14:03:18 | biometric | 1 | 81242 | 2 | 6.953 | 11684.5 |
| 373 | 2024-11-10 22:13:39 | biometric | 3 | 148641 | 60 | 36.093 | 4118.3 |
| 372 | 2024-11-05 17:44:11 | biometric | 3 | 148641 | 60 | 35.093 | 4235.6 |
| 371 | 2024-11-04 06:04:09 | biometric | 3 | 148641 | 60 | 41.063 | 3619.8 |
| 370 | 2024-11-04 06:04:11 | biometric | 3 | 148641 | 60 | 27.253 | 5454.1 |
| 369 | 2024-11-04 06:04:11 | biometric | 2 | 121436 | 15 | 21.830 | 5562.8 |