History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precisions"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 498 | 2025-10-26 13:14:55 | precisions | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 497 | 2025-10-26 02:48:31 | precisions | 1 | 67641 | 5 | 1.046 | 64666.3 |
| 496 | 2025-10-26 02:17:38 | precisions | 1 | 67641 | 5 | 1.263 | 53555.8 |
| 495 | 2025-10-22 10:49:41 | precisions | 1 | 67641 | 5 | 5.856 | 11550.7 |
| 494 | 2025-10-19 03:32:28 | precisions | 1 | 67641 | 5 | 1.233 | 54858.9 |
| 493 | 2025-09-30 10:20:44 | precisions | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 492 | 2025-09-29 03:57:05 | precisions | 1 | 67641 | 5 | 1.326 | 51011.3 |
| 491 | 2025-09-28 03:16:38 | precisions | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 490 | 2025-09-27 04:33:28 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 489 | 2025-09-26 03:07:21 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 488 | 2025-09-24 11:42:21 | precisions | 1 | 67641 | 5 | 1.063 | 63632.2 |
| 487 | 2025-09-23 22:45:49 | precisions | 1 | 67641 | 5 | 1.170 | 57812.8 |
| 486 | 2025-09-23 02:57:56 | precisions | 1 | 67641 | 5 | 1.170 | 57812.8 |
| 485 | 2025-09-22 00:53:02 | precisions | 1 | 67641 | 5 | 1.126 | 60071.9 |
| 484 | 2025-09-18 18:26:00 | precisions | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 483 | 2025-09-16 03:21:15 | precisions | 1 | 67641 | 5 | 1.173 | 57665.0 |
| 482 | 2025-09-15 13:28:35 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 481 | 2025-09-09 08:18:35 | precisions | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 480 | 2025-09-08 22:31:26 | precisions | 1 | 67641 | 5 | 1.093 | 61885.6 |
| 479 | 2025-09-05 15:38:29 | precisions | 1 | 67641 | 5 | 1.080 | 62630.6 |
| 478 | 2025-09-02 08:34:12 | precisions | 1 | 67641 | 5 | 1.173 | 57665.0 |
| 477 | 2025-08-30 00:48:33 | precisions | 1 | 67641 | 5 | 1.233 | 54858.9 |
| 476 | 2025-08-28 03:29:16 | precisions | 1 | 67641 | 5 | 1.266 | 53428.9 |
| 475 | 2025-08-23 08:48:20 | precisions | 4 | 161450 | 403 | 41.923 | 3851.1 |
| 474 | 2025-08-23 02:49:55 | precisions | 1 | 67641 | 5 | 8.486 | 7970.9 |
| 473 | 2025-08-20 01:15:08 | precisions | 1 | 67641 | 5 | 2.250 | 30062.7 |
| 472 | 2025-08-19 13:22:00 | precisions | 4 | 161450 | 403 | 27.733 | 5821.6 |
| 471 | 2025-08-19 12:26:46 | precisions | 1 | 67641 | 5 | 5.376 | 12582.0 |
| 470 | 2025-08-17 07:04:53 | precisions | 4 | 161450 | 403 | 27.140 | 5948.8 |
| 469 | 2025-08-17 04:40:57 | precisions | 4 | 161450 | 403 | 56.766 | 2844.1 |
| 468 | 2025-08-16 16:37:11 | precisions | 1 | 67641 | 5 | 1.140 | 59334.2 |
| 467 | 2025-08-15 07:23:35 | precisions | 4 | 161450 | 403 | 43.330 | 3726.1 |
| 466 | 2025-08-11 23:33:15 | precisions | 4 | 161450 | 403 | 28.110 | 5743.5 |
| 465 | 2025-08-09 13:31:45 | precisions | 1 | 67641 | 5 | 5.076 | 13325.7 |
| 464 | 2025-08-02 03:20:30 | precisions | 1 | 67641 | 5 | 2.736 | 24722.6 |
| 463 | 2025-07-29 02:30:24 | precisions | 1 | 67641 | 5 | 6.266 | 10794.9 |
| 462 | 2025-07-24 06:15:50 | precisions | 1 | 67641 | 5 | 2.923 | 23141.0 |
| 461 | 2025-07-23 16:35:53 | precisions | 1 | 67641 | 5 | 5.830 | 11602.2 |
| 460 | 2025-07-23 16:09:34 | precisions | 1 | 67641 | 5 | 3.593 | 18825.8 |
| 459 | 2025-07-23 01:29:47 | precisions | 1 | 67641 | 5 | 5.076 | 13325.7 |
| 458 | 2025-07-22 15:49:55 | precisions | 1 | 67641 | 5 | 5.796 | 11670.3 |
| 457 | 2025-07-22 12:19:46 | precisions | 1 | 67641 | 5 | 7.593 | 8908.3 |
| 456 | 2025-07-22 12:19:26 | precisions | 1 | 67641 | 5 | 3.156 | 21432.5 |
| 455 | 2025-07-21 14:32:15 | precisions | 4 | 161450 | 403 | 22.126 | 7296.8 |
| 454 | 2025-07-20 22:02:14 | precisions | 4 | 161450 | 403 | 11.720 | 13775.6 |
| 453 | 2025-07-20 20:57:04 | precisions | 1 | 67641 | 5 | 1.263 | 53555.8 |
| 452 | 2025-07-20 20:55:29 | precisions | 1 | 67641 | 5 | 1.123 | 60232.4 |
| 451 | 2025-07-18 17:52:42 | precisions | 4 | 161450 | 403 | 77.160 | 2092.4 |
| 450 | 2025-07-18 04:32:47 | precisions | 4 | 161450 | 403 | 30.203 | 5345.5 |
| 449 | 2025-07-17 22:47:51 | precisions | 4 | 161450 | 403 | 53.940 | 2993.1 |
| 448 | 2025-07-17 09:14:28 | precisions | 4 | 161450 | 403 | 44.046 | 3665.5 |
| 447 | 2025-07-16 11:44:36 | precisions | 4 | 161450 | 403 | 44.766 | 3606.5 |
| 446 | 2025-07-11 12:35:29 | precisions | 4 | 161450 | 403 | 81.426 | 1982.8 |
| 445 | 2025-07-11 10:21:30 | precisions | 2 | 108824 | 18 | 16.953 | 6419.2 |
| 444 | 2025-07-10 14:10:11 | precisions | 4 | 161450 | 403 | 52.626 | 3067.9 |
| 443 | 2025-07-10 13:45:51 | precisions | 1 | 67641 | 5 | 1.906 | 35488.5 |
| 442 | 2025-07-10 12:38:58 | precisions | 1 | 67641 | 5 | 6.030 | 11217.4 |
| 441 | 2025-07-09 23:47:28 | precisions | 4 | 161450 | 403 | 54.253 | 2975.9 |
| 440 | 2025-07-09 08:43:34 | precisions | 4 | 161450 | 403 | 17.516 | 9217.3 |
| 439 | 2025-07-08 14:26:43 | precisions | 4 | 161450 | 403 | 50.453 | 3200.0 |
| 438 | 2025-07-07 07:53:38 | precisions | 4 | 161450 | 403 | 45.596 | 3540.9 |
| 437 | 2025-07-02 03:23:14 | precisions | 1 | 67641 | 5 | 5.076 | 13325.7 |
| 436 | 2025-06-22 04:33:25 | precisions | 1 | 67641 | 5 | 8.200 | 8248.9 |
| 435 | 2025-06-09 16:02:30 | precisions | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 434 | 2025-06-08 09:03:52 | precisions | 4 | 161450 | 403 | 50.460 | 3199.6 |
| 433 | 2025-06-06 10:59:50 | precisions | 4 | 161450 | 403 | 83.536 | 1932.7 |
| 432 | 2025-06-06 09:42:34 | precisions | 4 | 161450 | 403 | 69.973 | 2307.3 |
| 431 | 2025-06-06 02:36:37 | precisions | 1 | 67641 | 5 | 3.090 | 21890.3 |
| 430 | 2025-06-05 22:54:12 | precisions | 4 | 161450 | 403 | 79.830 | 2022.4 |
| 429 | 2025-06-04 04:15:27 | precisions | 4 | 161450 | 403 | 37.236 | 4335.9 |
| 428 | 2025-06-02 22:22:12 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 427 | 2025-06-01 09:56:32 | precisions | 1 | 67641 | 5 | 2.920 | 23164.7 |
| 426 | 2025-05-31 12:23:47 | precisions | 1 | 67641 | 5 | 3.783 | 17880.3 |
| 425 | 2025-05-28 09:42:15 | precisions | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 424 | 2025-05-26 17:12:54 | precisions | 1 | 67641 | 5 | 2.733 | 24749.7 |
| 423 | 2025-05-21 05:28:17 | precisions | 1 | 67641 | 5 | 1.216 | 55625.8 |
| 422 | 2025-05-18 14:19:00 | precisions | 1 | 67641 | 5 | 4.110 | 16457.7 |
| 421 | 2025-05-04 19:55:05 | precisions | 3 | 140603 | 76 | 19.156 | 7339.9 |
| 420 | 2025-05-03 16:21:25 | precisions | 3 | 140603 | 76 | 6.486 | 21677.9 |
| 419 | 2025-05-03 04:42:21 | precisions | 2 | 108824 | 18 | 24.376 | 4464.4 |
| 418 | 2025-05-01 08:00:37 | precisions | 3 | 140603 | 76 | 26.003 | 5407.2 |
| 417 | 2025-05-01 07:44:21 | precisions | 2 | 108824 | 18 | 16.436 | 6621.1 |
| 416 | 2025-05-01 03:05:36 | precisions | 3 | 140603 | 76 | 33.923 | 4144.8 |
| 415 | 2025-04-29 03:20:29 | precisions | 1 | 67641 | 5 | 3.703 | 18266.5 |
| 414 | 2025-04-23 10:14:26 | precisions | 1 | 67641 | 5 | 3.140 | 21541.7 |
| 413 | 2025-04-10 22:42:06 | precisions | 1 | 67641 | 5 | 3.063 | 22083.3 |
| 412 | 2025-03-27 19:16:58 | precisions | 3 | 140603 | 76 | 33.580 | 4187.1 |
| 411 | 2025-03-24 10:11:46 | precisions | 3 | 140603 | 76 | 32.936 | 4269.0 |
| 410 | 2025-03-23 16:45:33 | precisions | 3 | 140603 | 76 | 35.736 | 3934.5 |
| 409 | 2025-03-23 10:12:48 | precisions | 2 | 108824 | 18 | 10.953 | 9935.5 |
| 408 | 2025-03-22 04:59:08 | precisions | 1 | 67641 | 5 | 6.673 | 10136.5 |
| 407 | 2025-03-21 03:03:41 | precisions | 3 | 140603 | 76 | 29.750 | 4726.2 |
| 406 | 2025-03-20 12:49:30 | precisions | 1 | 67641 | 5 | 4.876 | 13872.2 |
| 405 | 2025-03-20 04:49:52 | precisions | 1 | 67641 | 5 | 5.153 | 13126.5 |
| 404 | 2025-03-11 12:01:55 | precisions | 3 | 140603 | 76 | 22.046 | 6377.7 |
| 403 | 2025-03-06 17:38:43 | precisions | 1 | 67641 | 5 | 4.236 | 15968.1 |
| 402 | 2025-03-04 23:04:20 | precisions | 3 | 140603 | 76 | 31.626 | 4445.8 |
| 401 | 2025-03-04 16:24:27 | precisions | 3 | 140603 | 76 | 40.500 | 3471.7 |
| 400 | 2025-02-20 06:21:16 | precisions | 3 | 140603 | 76 | 31.656 | 4441.6 |
| 399 | 2025-02-20 06:18:31 | precisions | 1 | 67641 | 5 | 5.940 | 11387.4 |