History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precompute"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 519 | 2025-11-26 23:41:16 | precompute | 5 | 173545 | 498 | 17.500 | 9916.9 |
| 518 | 2025-11-26 08:37:28 | precompute | 3 | 140603 | 12 | 5.966 | 23567.4 |
| 517 | 2025-11-25 02:59:00 | precompute | 2 | 108824 | 7 | 3.483 | 31244.3 |
| 516 | 2025-11-24 22:53:18 | precompute | 1 | 67641 | 5 | 1.110 | 60937.8 |
| 515 | 2025-11-24 03:02:41 | precompute | 4 | 161450 | 71 | 27.440 | 5883.7 |
| 514 | 2025-11-23 19:03:34 | precompute | 4 | 161450 | 71 | 11.063 | 14593.7 |
| 513 | 2025-11-22 22:56:43 | precompute | 2 | 108824 | 7 | 4.813 | 22610.4 |
| 512 | 2025-11-22 18:16:15 | precompute | 3 | 140603 | 12 | 16.066 | 8751.6 |
| 511 | 2025-11-22 15:14:51 | precompute | 3 | 140603 | 12 | 6.843 | 20547.0 |
| 510 | 2025-11-22 09:24:40 | precompute | 3 | 140603 | 12 | 6.920 | 20318.4 |
| 509 | 2025-11-21 23:24:33 | precompute | 2 | 108824 | 7 | 3.423 | 31792.0 |
| 508 | 2025-11-21 20:31:29 | precompute | 4 | 161450 | 71 | 66.410 | 2431.1 |
| 507 | 2025-11-21 19:17:29 | precompute | 2 | 108824 | 7 | 3.546 | 30689.2 |
| 506 | 2025-11-21 08:37:06 | precompute | 1 | 67641 | 5 | 1.280 | 52844.5 |
| 505 | 2025-11-21 08:13:27 | precompute | 5 | 173545 | 498 | 30.390 | 5710.6 |
| 504 | 2025-11-21 02:01:56 | precompute | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 503 | 2025-11-20 16:39:03 | precompute | 5 | 173545 | 498 | 16.720 | 10379.5 |
| 502 | 2025-11-17 18:33:48 | precompute | 2 | 108824 | 7 | 3.170 | 34329.3 |
| 501 | 2025-11-17 08:38:02 | precompute | 5 | 173545 | 498 | 24.563 | 7065.3 |
| 500 | 2025-11-17 06:08:29 | precompute | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 499 | 2025-11-17 04:28:20 | precompute | 4 | 161450 | 71 | 14.890 | 10842.8 |
| 498 | 2025-11-14 17:22:32 | precompute | 5 | 173545 | 498 | 34.990 | 4959.8 |
| 497 | 2025-11-12 00:01:32 | precompute | 4 | 161450 | 71 | 11.750 | 13740.4 |
| 496 | 2025-11-11 13:04:23 | precompute | 4 | 161450 | 71 | 11.250 | 14351.1 |
| 495 | 2025-11-11 08:05:43 | precompute | 2 | 108824 | 7 | 2.920 | 37268.5 |
| 494 | 2025-11-09 23:13:51 | precompute | 1 | 67641 | 5 | 1.360 | 49736.0 |
| 493 | 2025-11-08 23:44:45 | precompute | 4 | 161450 | 71 | 10.530 | 15332.4 |
| 492 | 2025-11-06 06:13:34 | precompute | 3 | 140603 | 12 | 5.876 | 23928.4 |
| 491 | 2025-11-03 15:01:55 | precompute | 3 | 140603 | 12 | 5.733 | 24525.2 |
| 490 | 2025-10-30 09:23:58 | precompute | 2 | 108824 | 7 | 3.436 | 31671.7 |
| 489 | 2025-10-30 08:13:37 | precompute | 4 | 161450 | 71 | 83.053 | 1943.9 |
| 488 | 2025-10-30 08:12:48 | precompute | 4 | 161450 | 71 | 103.350 | 1562.2 |
| 487 | 2025-10-30 08:11:52 | precompute | 4 | 161450 | 71 | 59.083 | 2732.6 |
| 486 | 2025-10-30 08:10:56 | precompute | 4 | 161450 | 71 | 64.333 | 2509.6 |
| 485 | 2025-10-30 07:43:31 | precompute | 4 | 161450 | 71 | 12.343 | 13080.3 |
| 484 | 2025-10-30 03:14:37 | precompute | 2 | 108824 | 7 | 3.143 | 34624.2 |
| 483 | 2025-10-29 17:45:02 | precompute | 5 | 173545 | 498 | 17.596 | 9862.8 |
| 482 | 2025-10-29 15:37:34 | precompute | 1 | 67641 | 5 | 1.236 | 54725.7 |
| 481 | 2025-10-29 09:44:20 | precompute | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 480 | 2025-10-28 19:06:34 | precompute | 1 | 67641 | 5 | 1.063 | 63632.2 |
| 479 | 2025-10-27 06:51:42 | precompute | 4 | 161450 | 71 | 12.016 | 13436.3 |
| 478 | 2025-10-26 18:37:02 | precompute | 2 | 108824 | 7 | 3.533 | 30802.2 |
| 477 | 2025-10-26 13:44:33 | precompute | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 476 | 2025-10-25 19:21:50 | precompute | 3 | 140603 | 12 | 7.406 | 18985.0 |
| 475 | 2025-10-23 16:17:13 | precompute | 3 | 140603 | 12 | 33.673 | 4175.5 |
| 474 | 2025-10-23 11:39:46 | precompute | 4 | 161450 | 71 | 53.346 | 3026.5 |
| 473 | 2025-10-23 01:39:18 | precompute | 1 | 67641 | 5 | 3.266 | 20710.7 |
| 472 | 2025-10-22 22:27:24 | precompute | 1 | 67641 | 5 | 5.110 | 13237.0 |
| 471 | 2025-10-22 21:02:43 | precompute | 3 | 140603 | 12 | 30.280 | 4643.4 |
| 470 | 2025-10-22 16:23:39 | precompute | 3 | 140603 | 12 | 33.330 | 4218.5 |
| 469 | 2025-10-22 04:37:18 | precompute | 4 | 161450 | 71 | 12.546 | 12868.6 |
| 468 | 2025-10-22 02:13:19 | precompute | 2 | 108824 | 7 | 16.033 | 6787.5 |
| 467 | 2025-10-21 10:15:00 | precompute | 1 | 67641 | 5 | 1.280 | 52844.5 |
| 466 | 2025-10-21 04:30:50 | precompute | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 465 | 2025-10-17 07:27:57 | precompute | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 464 | 2025-10-17 03:14:06 | precompute | 5 | 173545 | 498 | 17.173 | 10105.7 |
| 463 | 2025-10-14 07:19:16 | precompute | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 462 | 2025-10-11 14:18:00 | precompute | 4 | 161450 | 71 | 10.233 | 15777.4 |
| 461 | 2025-10-11 09:18:08 | precompute | 2 | 108824 | 7 | 2.796 | 38921.3 |
| 460 | 2025-10-10 00:11:12 | precompute | 1 | 67641 | 5 | 1.123 | 60232.4 |
| 459 | 2025-10-04 01:31:32 | precompute | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 458 | 2025-10-02 00:23:09 | precompute | 5 | 173545 | 498 | 17.410 | 9968.1 |
| 457 | 2025-10-01 03:12:25 | precompute | 4 | 161450 | 71 | 10.266 | 15726.7 |
| 456 | 2025-09-29 15:05:34 | precompute | 1 | 67641 | 5 | 1.656 | 40846.0 |
| 455 | 2025-09-29 14:41:23 | precompute | 3 | 140603 | 12 | 7.423 | 18941.5 |
| 454 | 2025-09-29 07:45:10 | precompute | 4 | 161450 | 71 | 12.953 | 12464.3 |
| 453 | 2025-09-28 19:15:36 | precompute | 3 | 140603 | 12 | 8.143 | 17266.7 |
| 452 | 2025-09-28 19:15:23 | precompute | 3 | 140603 | 12 | 11.203 | 12550.5 |
| 451 | 2025-09-28 14:13:30 | precompute | 5 | 173545 | 498 | 18.860 | 9201.7 |
| 450 | 2025-09-27 19:07:04 | precompute | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 449 | 2025-09-27 13:00:02 | precompute | 4 | 161450 | 71 | 11.970 | 13487.9 |
| 448 | 2025-09-26 15:59:06 | precompute | 5 | 173545 | 498 | 18.030 | 9625.3 |
| 447 | 2025-09-25 07:05:34 | precompute | 5 | 173545 | 498 | 123.926 | 1400.4 |
| 446 | 2025-09-25 07:05:24 | precompute | 5 | 173545 | 498 | 96.143 | 1805.1 |
| 445 | 2025-09-25 07:05:17 | precompute | 5 | 173545 | 498 | 98.866 | 1755.4 |
| 444 | 2025-09-25 07:05:10 | precompute | 5 | 173545 | 498 | 63.240 | 2744.2 |
| 443 | 2025-09-25 04:30:50 | precompute | 5 | 173545 | 498 | 72.083 | 2407.6 |
| 442 | 2025-09-24 18:41:08 | precompute | 2 | 108824 | 7 | 3.406 | 31950.7 |
| 441 | 2025-09-24 18:39:52 | precompute | 2 | 108824 | 7 | 3.033 | 35880.0 |
| 440 | 2025-09-24 09:23:10 | precompute | 2 | 108824 | 7 | 3.203 | 33975.6 |
| 439 | 2025-09-23 16:09:07 | precompute | 3 | 140603 | 12 | 6.813 | 20637.5 |
| 438 | 2025-09-22 21:14:40 | precompute | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 437 | 2025-09-22 00:05:23 | precompute | 2 | 108824 | 7 | 3.436 | 31671.7 |
| 436 | 2025-09-21 16:10:41 | precompute | 3 | 140603 | 12 | 6.890 | 20406.8 |
| 435 | 2025-09-21 10:32:30 | precompute | 3 | 140603 | 12 | 5.703 | 24654.2 |
| 434 | 2025-09-20 20:45:22 | precompute | 4 | 161450 | 71 | 20.436 | 7900.3 |
| 433 | 2025-09-20 20:18:16 | precompute | 2 | 108824 | 7 | 2.843 | 38277.9 |
| 432 | 2025-09-20 09:57:04 | precompute | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 431 | 2025-09-20 03:07:27 | precompute | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 430 | 2025-09-19 15:39:10 | precompute | 2 | 108824 | 7 | 3.000 | 36274.7 |
| 429 | 2025-09-19 15:16:45 | precompute | 2 | 108824 | 7 | 6.173 | 17629.0 |
| 428 | 2025-09-17 08:18:34 | precompute | 5 | 173545 | 498 | 18.140 | 9567.0 |
| 427 | 2025-09-17 06:53:53 | precompute | 1 | 67641 | 5 | 1.076 | 62863.4 |
| 426 | 2025-09-13 10:53:21 | precompute | 3 | 140603 | 12 | 6.733 | 20882.7 |
| 425 | 2025-09-12 23:59:15 | precompute | 1 | 67641 | 5 | 1.263 | 53555.8 |
| 424 | 2025-09-11 21:40:56 | precompute | 5 | 173545 | 498 | 16.766 | 10351.0 |
| 423 | 2025-09-10 15:21:11 | precompute | 4 | 161450 | 71 | 11.283 | 14309.1 |
| 422 | 2025-09-10 03:52:23 | precompute | 1 | 67641 | 5 | 1.093 | 61885.6 |
| 421 | 2025-09-09 00:18:16 | precompute | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 420 | 2025-09-04 21:14:39 | precompute | 2 | 108824 | 7 | 3.186 | 34156.9 |