History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predict"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 511 | 2025-10-25 05:13:30 | predict | 3 | 134027 | 243 | 6.140 | 21828.5 |
| 510 | 2025-10-24 18:22:55 | predict | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 509 | 2025-10-21 18:50:27 | predict | 1 | 69583 | 2 | 1.826 | 38106.8 |
| 508 | 2025-10-12 15:07:31 | predict | 1 | 69583 | 2 | 1.106 | 62914.1 |
| 507 | 2025-10-09 04:29:17 | predict | 2 | 107671 | 23 | 3.000 | 35890.3 |
| 506 | 2025-10-07 00:12:48 | predict | 1 | 69583 | 2 | 1.280 | 54361.7 |
| 505 | 2025-10-04 10:06:35 | predict | 3 | 134027 | 243 | 6.986 | 19185.1 |
| 504 | 2025-10-01 11:22:30 | predict | 2 | 107671 | 23 | 6.546 | 16448.4 |
| 503 | 2025-10-01 09:27:40 | predict | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 502 | 2025-09-30 07:44:22 | predict | 3 | 134027 | 243 | 6.420 | 20876.5 |
| 501 | 2025-09-30 02:29:04 | predict | 3 | 134027 | 243 | 7.266 | 18445.8 |
| 500 | 2025-09-24 03:06:25 | predict | 1 | 69583 | 2 | 1.236 | 56296.9 |
| 499 | 2025-09-18 22:43:33 | predict | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 498 | 2025-09-14 23:47:53 | predict | 2 | 107671 | 23 | 3.420 | 31482.7 |
| 497 | 2025-09-10 13:01:22 | predict | 2 | 107671 | 23 | 3.376 | 31893.1 |
| 496 | 2025-09-08 04:28:35 | predict | 3 | 134027 | 243 | 6.796 | 19721.5 |
| 495 | 2025-09-04 16:36:13 | predict | 1 | 69583 | 2 | 1.123 | 61961.7 |
| 494 | 2025-08-27 14:16:05 | predict | 1 | 69583 | 2 | 1.343 | 51811.6 |
| 493 | 2025-08-27 00:54:24 | predict | 1 | 69583 | 2 | 1.170 | 59472.6 |
| 492 | 2025-08-27 00:02:34 | predict | 1 | 69583 | 2 | 1.296 | 53690.6 |
| 491 | 2025-08-25 14:54:40 | predict | 1 | 69583 | 2 | 7.203 | 9660.3 |
| 490 | 2025-08-23 16:51:37 | predict | 1 | 69583 | 2 | 5.530 | 12582.8 |
| 489 | 2025-08-16 21:04:15 | predict | 1 | 69583 | 2 | 2.956 | 23539.6 |
| 488 | 2025-08-16 11:15:23 | predict | 1 | 69583 | 2 | 2.546 | 27330.3 |
| 487 | 2025-08-10 13:20:14 | predict | 1 | 69583 | 2 | 2.826 | 24622.4 |
| 486 | 2025-08-04 21:57:06 | predict | 1 | 69583 | 2 | 5.173 | 13451.2 |
| 485 | 2025-08-04 15:07:34 | predict | 1 | 69583 | 2 | 6.390 | 10889.4 |
| 484 | 2025-07-29 22:13:22 | predict | 1 | 69583 | 2 | 4.453 | 15626.1 |
| 483 | 2025-07-27 17:48:37 | predict | 2 | 107671 | 23 | 12.486 | 8623.3 |
| 482 | 2025-07-27 10:43:00 | predict | 1 | 69583 | 2 | 3.373 | 20629.4 |
| 481 | 2025-07-25 19:09:25 | predict | 1 | 69583 | 2 | 1.096 | 63488.1 |
| 480 | 2025-07-25 00:58:17 | predict | 1 | 69583 | 2 | 5.253 | 13246.3 |
| 479 | 2025-07-24 15:37:51 | predict | 1 | 69583 | 2 | 4.596 | 15139.9 |
| 478 | 2025-07-22 08:30:29 | predict | 1 | 69583 | 2 | 1.310 | 53116.8 |
| 477 | 2025-07-20 05:33:03 | predict | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 476 | 2025-07-19 11:20:31 | predict | 1 | 69583 | 2 | 1.216 | 57222.9 |
| 475 | 2025-07-19 03:31:29 | predict | 1 | 69583 | 2 | 1.216 | 57222.9 |
| 474 | 2025-07-17 22:06:03 | predict | 1 | 69583 | 2 | 2.703 | 25742.9 |
| 473 | 2025-07-09 09:14:43 | predict | 2 | 107671 | 23 | 3.623 | 29718.7 |
| 472 | 2025-07-08 21:27:46 | predict | 1 | 69583 | 2 | 5.266 | 13213.6 |
| 471 | 2025-07-07 18:38:11 | predict | 1 | 69583 | 2 | 1.110 | 62687.4 |
| 470 | 2025-07-04 13:33:47 | predict | 1 | 69583 | 2 | 8.343 | 8340.3 |
| 469 | 2025-06-29 00:37:24 | predict | 3 | 134027 | 243 | 33.126 | 4046.0 |
| 468 | 2025-06-27 13:04:47 | predict | 3 | 134027 | 243 | 22.563 | 5940.1 |
| 467 | 2025-06-26 05:50:01 | predict | 2 | 107671 | 23 | 16.046 | 6710.1 |
| 466 | 2025-06-26 00:22:04 | predict | 3 | 134027 | 243 | 30.143 | 4446.4 |
| 465 | 2025-06-25 13:25:09 | predict | 3 | 134027 | 243 | 7.080 | 18930.4 |
| 464 | 2025-06-24 17:39:51 | predict | 3 | 134027 | 243 | 21.923 | 6113.5 |
| 463 | 2025-06-23 03:40:10 | predict | 3 | 134027 | 243 | 17.970 | 7458.4 |
| 462 | 2025-06-18 20:22:39 | predict | 3 | 134027 | 243 | 42.736 | 3136.2 |
| 461 | 2025-06-11 01:22:49 | predict | 1 | 69583 | 2 | 6.390 | 10889.4 |
| 460 | 2025-06-09 08:31:13 | predict | 2 | 107671 | 23 | 3.593 | 29966.9 |
| 459 | 2025-06-07 21:12:01 | predict | 1 | 69583 | 2 | 3.936 | 17678.6 |
| 458 | 2025-06-07 17:50:54 | predict | 1 | 69583 | 2 | 1.123 | 61961.7 |
| 457 | 2025-06-06 13:56:28 | predict | 1 | 69583 | 2 | 2.983 | 23326.5 |
| 456 | 2025-06-03 13:27:01 | predict | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 455 | 2025-06-01 13:50:23 | predict | 1 | 69583 | 2 | 4.063 | 17126.0 |
| 454 | 2025-05-31 17:16:30 | predict | 1 | 69583 | 2 | 2.966 | 23460.2 |
| 453 | 2025-05-29 07:17:56 | predict | 3 | 134027 | 243 | 23.080 | 5807.1 |
| 452 | 2025-05-27 17:03:46 | predict | 1 | 69583 | 2 | 8.890 | 7827.1 |
| 451 | 2025-05-27 16:41:53 | predict | 3 | 134027 | 243 | 12.640 | 10603.4 |
| 450 | 2025-05-27 14:44:22 | predict | 2 | 107671 | 23 | 8.966 | 12008.8 |
| 449 | 2025-05-26 01:07:03 | predict | 3 | 134027 | 243 | 26.580 | 5042.4 |
| 448 | 2025-05-25 14:01:26 | predict | 3 | 134027 | 243 | 6.800 | 19709.9 |
| 447 | 2025-05-24 17:22:09 | predict | 2 | 107671 | 23 | 18.953 | 5680.9 |
| 446 | 2025-05-23 06:03:19 | predict | 1 | 69583 | 2 | 8.326 | 8357.3 |
| 445 | 2025-05-22 19:21:17 | predict | 3 | 134027 | 243 | 7.903 | 16959.0 |
| 444 | 2025-05-22 18:30:45 | predict | 3 | 134027 | 243 | 19.296 | 6945.8 |
| 443 | 2025-05-22 07:45:26 | predict | 2 | 107671 | 23 | 11.563 | 9311.7 |
| 442 | 2025-05-20 11:14:51 | predict | 1 | 69583 | 2 | 3.110 | 22374.0 |
| 441 | 2025-05-20 10:00:41 | predict | 3 | 134027 | 243 | 34.536 | 3880.8 |
| 440 | 2025-05-19 21:03:42 | predict | 2 | 107671 | 23 | 10.530 | 10225.2 |
| 439 | 2025-05-19 01:19:41 | predict | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 438 | 2025-05-19 00:19:16 | predict | 1 | 69583 | 2 | 1.296 | 53690.6 |
| 437 | 2025-05-07 21:36:52 | predict | 1 | 69583 | 2 | 6.813 | 10213.3 |
| 436 | 2025-05-06 14:20:59 | predict | 1 | 69583 | 2 | 4.813 | 14457.3 |
| 435 | 2025-05-04 13:29:03 | predict | 2 | 107671 | 23 | 22.143 | 4862.5 |
| 434 | 2025-05-04 11:22:37 | predict | 1 | 69583 | 2 | 6.016 | 11566.3 |
| 433 | 2025-05-02 13:57:50 | predict | 1 | 69583 | 2 | 2.530 | 27503.2 |
| 432 | 2025-05-02 13:46:14 | predict | 1 | 69583 | 2 | 8.126 | 8563.0 |
| 431 | 2025-04-21 16:27:36 | predict | 2 | 107671 | 23 | 13.470 | 7993.4 |
| 430 | 2025-04-20 10:33:39 | predict | 1 | 69583 | 2 | 2.360 | 29484.3 |
| 429 | 2025-04-09 08:48:35 | predict | 2 | 107671 | 23 | 14.390 | 7482.3 |
| 428 | 2025-04-07 13:22:58 | predict | 2 | 107671 | 23 | 23.110 | 4659.1 |
| 427 | 2025-04-05 20:41:43 | predict | 1 | 69583 | 2 | 1.436 | 48456.1 |
| 426 | 2025-04-04 16:27:39 | predict | 3 | 134027 | 243 | 26.110 | 5133.2 |
| 425 | 2025-04-02 13:31:36 | predict | 1 | 69583 | 2 | 3.046 | 22844.1 |
| 424 | 2025-03-31 09:50:40 | predict | 3 | 134027 | 243 | 20.686 | 6479.1 |
| 423 | 2025-03-26 16:01:21 | predict | 1 | 69583 | 2 | 4.313 | 16133.3 |
| 422 | 2025-03-25 04:27:16 | predict | 3 | 134027 | 243 | 55.433 | 2417.8 |
| 421 | 2025-03-24 14:45:04 | predict | 3 | 134027 | 243 | 12.720 | 10536.7 |
| 420 | 2025-03-20 13:28:22 | predict | 1 | 69583 | 2 | 6.656 | 10454.2 |
| 419 | 2025-03-18 08:15:40 | predict | 1 | 69583 | 2 | 7.983 | 8716.4 |
| 418 | 2025-03-17 11:31:39 | predict | 1 | 69583 | 2 | 4.063 | 17126.0 |
| 417 | 2025-03-15 02:39:13 | predict | 1 | 69583 | 2 | 3.016 | 23071.3 |
| 416 | 2025-03-01 02:38:35 | predict | 2 | 107671 | 23 | 17.076 | 6305.4 |
| 415 | 2025-02-28 08:44:39 | predict | 3 | 134027 | 243 | 35.000 | 3829.3 |
| 414 | 2025-02-27 09:25:49 | predict | 2 | 107671 | 23 | 16.206 | 6643.9 |
| 413 | 2025-02-27 09:25:40 | predict | 1 | 69583 | 2 | 5.890 | 11813.8 |
| 412 | 2025-02-27 03:06:32 | predict | 3 | 134027 | 243 | 32.160 | 4167.5 |