History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exactness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 455 | 2025-11-02 05:59:01 | exactness | 4 | 165329 | 430 | 12.220 | 13529.4 |
| 454 | 2025-10-10 10:37:02 | exactness | 4 | 165329 | 430 | 11.703 | 14127.1 |
| 453 | 2025-10-10 09:05:58 | exactness | 4 | 165329 | 430 | 15.000 | 11021.9 |
| 452 | 2025-10-07 06:48:26 | exactness | 4 | 165329 | 430 | 12.420 | 13311.5 |
| 451 | 2025-10-02 16:02:56 | exactness | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 450 | 2025-09-26 20:51:53 | exactness | 4 | 165329 | 430 | 11.640 | 14203.5 |
| 449 | 2025-09-26 18:14:24 | exactness | 4 | 165329 | 430 | 11.330 | 14592.1 |
| 448 | 2025-09-26 08:44:15 | exactness | 4 | 165329 | 430 | 12.533 | 13191.5 |
| 447 | 2025-09-21 09:57:23 | exactness | 2 | 121436 | 6 | 3.093 | 39261.6 |
| 446 | 2025-09-21 08:37:27 | exactness | 4 | 165329 | 430 | 11.313 | 14614.1 |
| 445 | 2025-09-18 01:41:04 | exactness | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 444 | 2025-09-07 02:25:37 | exactness | 4 | 165329 | 430 | 10.563 | 15651.7 |
| 443 | 2025-08-23 13:16:45 | exactness | 1 | 81242 | 1 | 3.203 | 25364.3 |
| 442 | 2025-08-23 06:18:19 | exactness | 1 | 81242 | 1 | 3.343 | 24302.1 |
| 441 | 2025-08-15 18:49:55 | exactness | 1 | 81242 | 1 | 4.063 | 19995.6 |
| 440 | 2025-08-15 18:26:21 | exactness | 2 | 121436 | 6 | 17.686 | 6866.2 |
| 439 | 2025-08-15 08:36:47 | exactness | 3 | 148641 | 58 | 16.343 | 9095.1 |
| 438 | 2025-08-13 21:37:35 | exactness | 1 | 81242 | 1 | 2.376 | 34192.8 |
| 437 | 2025-08-13 13:43:51 | exactness | 2 | 121436 | 6 | 12.846 | 9453.2 |
| 436 | 2025-08-13 12:26:33 | exactness | 3 | 148641 | 58 | 17.096 | 8694.5 |
| 435 | 2025-08-10 01:37:33 | exactness | 1 | 81242 | 1 | 3.296 | 24648.7 |
| 434 | 2025-08-09 13:17:38 | exactness | 1 | 81242 | 1 | 3.703 | 21939.5 |
| 433 | 2025-08-09 02:19:55 | exactness | 1 | 81242 | 1 | 5.013 | 16206.3 |
| 432 | 2025-08-07 03:33:09 | exactness | 4 | 165329 | 430 | 57.476 | 2876.5 |
| 431 | 2025-08-04 05:38:01 | exactness | 2 | 121436 | 6 | 3.423 | 35476.5 |
| 430 | 2025-07-27 19:51:41 | exactness | 4 | 165329 | 430 | 46.726 | 3538.3 |
| 429 | 2025-07-25 15:28:16 | exactness | 1 | 81242 | 1 | 3.203 | 25364.3 |
| 428 | 2025-07-21 15:49:59 | exactness | 4 | 165329 | 430 | 12.156 | 13600.6 |
| 427 | 2025-07-20 04:15:41 | exactness | 4 | 165329 | 430 | 17.300 | 9556.6 |
| 426 | 2025-07-15 22:08:13 | exactness | 3 | 148641 | 58 | 27.253 | 5454.1 |
| 425 | 2025-07-15 21:01:03 | exactness | 2 | 121436 | 6 | 5.530 | 21959.5 |
| 424 | 2025-07-12 22:36:07 | exactness | 1 | 81242 | 1 | 1.890 | 42985.2 |
| 423 | 2025-07-07 00:26:03 | exactness | 1 | 81242 | 1 | 3.390 | 23965.2 |
| 422 | 2025-06-24 03:10:39 | exactness | 1 | 81242 | 1 | 6.470 | 12556.7 |
| 421 | 2025-06-21 03:33:45 | exactness | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 420 | 2025-06-18 14:15:14 | exactness | 1 | 81242 | 1 | 6.686 | 12151.1 |
| 419 | 2025-06-09 22:12:21 | exactness | 1 | 81242 | 1 | 3.203 | 25364.3 |
| 418 | 2025-05-31 20:13:55 | exactness | 1 | 81242 | 1 | 6.140 | 13231.6 |
| 417 | 2025-05-20 18:36:30 | exactness | 4 | 165329 | 430 | 15.360 | 10763.6 |
| 416 | 2025-05-20 00:52:48 | exactness | 1 | 81242 | 1 | 9.173 | 8856.6 |
| 415 | 2025-05-17 07:31:02 | exactness | 4 | 165329 | 430 | 13.516 | 12232.1 |
| 414 | 2025-05-17 01:33:23 | exactness | 4 | 165329 | 430 | 36.816 | 4490.7 |
| 413 | 2025-05-16 15:49:11 | exactness | 1 | 81242 | 1 | 3.283 | 24746.3 |
| 412 | 2025-05-15 16:06:56 | exactness | 4 | 165329 | 430 | 60.706 | 2723.4 |
| 411 | 2025-05-11 13:00:25 | exactness | 4 | 165329 | 430 | 11.470 | 14414.0 |
| 410 | 2025-05-10 17:06:36 | exactness | 1 | 81242 | 1 | 3.580 | 22693.3 |
| 409 | 2025-04-18 08:19:56 | exactness | 4 | 165329 | 430 | 51.423 | 3215.1 |
| 408 | 2025-04-18 00:14:53 | exactness | 1 | 81242 | 1 | 3.546 | 22910.9 |
| 407 | 2025-04-17 21:18:11 | exactness | 1 | 81242 | 1 | 3.783 | 21475.5 |
| 406 | 2025-04-16 13:21:29 | exactness | 1 | 81242 | 1 | 6.546 | 12410.9 |
| 405 | 2025-04-14 04:16:27 | exactness | 4 | 165329 | 430 | 50.676 | 3262.5 |
| 404 | 2025-04-13 00:05:38 | exactness | 4 | 165329 | 430 | 52.410 | 3154.5 |
| 403 | 2025-04-11 10:19:23 | exactness | 4 | 165329 | 430 | 61.550 | 2686.1 |
| 402 | 2025-04-11 06:35:03 | exactness | 4 | 165329 | 430 | 74.536 | 2218.1 |
| 401 | 2025-04-09 18:04:52 | exactness | 4 | 165329 | 430 | 111.830 | 1478.4 |
| 400 | 2025-04-08 11:29:56 | exactness | 1 | 81242 | 1 | 5.093 | 15951.7 |
| 399 | 2025-04-06 15:13:49 | exactness | 2 | 121436 | 6 | 8.826 | 13758.9 |
| 398 | 2025-04-06 08:05:03 | exactness | 1 | 81242 | 1 | 3.626 | 22405.4 |
| 397 | 2025-04-05 01:43:15 | exactness | 3 | 148641 | 58 | 7.170 | 20731.0 |
| 396 | 2025-03-23 03:22:37 | exactness | 1 | 81242 | 1 | 6.313 | 12869.0 |
| 395 | 2025-03-18 07:07:10 | exactness | 3 | 148641 | 58 | 27.890 | 5329.5 |
| 394 | 2025-03-18 07:07:05 | exactness | 3 | 148641 | 58 | 31.050 | 4787.1 |
| 393 | 2025-03-18 07:07:10 | exactness | 2 | 121436 | 6 | 17.783 | 6828.8 |
| 392 | 2025-03-18 07:05:47 | exactness | 1 | 81242 | 1 | 3.330 | 24397.0 |
| 391 | 2025-03-12 14:27:04 | exactness | 3 | 148641 | 58 | 41.470 | 3584.3 |
| 390 | 2025-03-12 14:27:02 | exactness | 2 | 121436 | 6 | 13.126 | 9251.6 |
| 389 | 2025-03-12 13:59:48 | exactness | 1 | 81242 | 1 | 1.346 | 60358.1 |
| 388 | 2025-03-09 03:55:35 | exactness | 3 | 148641 | 58 | 34.333 | 4329.4 |
| 387 | 2025-03-08 20:40:12 | exactness | 3 | 148641 | 58 | 37.756 | 3936.9 |
| 386 | 2025-03-03 12:45:34 | exactness | 1 | 81242 | 1 | 2.860 | 28406.3 |
| 385 | 2025-02-08 18:21:14 | exactness | 3 | 148641 | 58 | 27.923 | 5323.2 |
| 384 | 2025-02-08 18:21:14 | exactness | 2 | 121436 | 6 | 9.970 | 12180.1 |
| 383 | 2025-02-06 01:51:27 | exactness | 3 | 148641 | 58 | 35.196 | 4223.2 |
| 382 | 2025-02-05 13:24:44 | exactness | 3 | 148641 | 58 | 44.223 | 3361.2 |
| 381 | 2025-02-05 13:24:36 | exactness | 3 | 148641 | 58 | 42.143 | 3527.1 |
| 380 | 2025-02-05 13:24:41 | exactness | 2 | 121436 | 6 | 12.016 | 10106.2 |
| 379 | 2025-02-05 13:22:21 | exactness | 1 | 81242 | 1 | 5.263 | 15436.4 |
| 378 | 2025-02-02 23:47:22 | exactness | 1 | 81242 | 1 | 5.280 | 15386.7 |
| 377 | 2025-01-24 18:10:19 | exactness | 1 | 81242 | 1 | 3.656 | 22221.6 |
| 376 | 2025-01-02 17:33:49 | exactness | 1 | 81242 | 1 | 6.736 | 12060.9 |
| 375 | 2024-12-19 21:54:41 | exactness | 1 | 81242 | 1 | 1.280 | 63470.3 |
| 374 | 2024-12-09 16:58:31 | exactness | 3 | 148641 | 58 | 50.876 | 2921.6 |
| 373 | 2024-12-09 15:51:12 | exactness | 1 | 81242 | 1 | 6.110 | 13296.6 |
| 372 | 2024-12-03 11:02:59 | exactness | 3 | 148641 | 58 | 36.736 | 4046.2 |
| 371 | 2024-11-28 05:06:23 | exactness | 3 | 148641 | 58 | 40.753 | 3647.4 |
| 370 | 2024-11-18 16:03:52 | exactness | 3 | 148641 | 58 | 31.050 | 4787.1 |
| 369 | 2024-11-18 16:04:02 | exactness | 2 | 121436 | 6 | 17.826 | 6812.3 |
| 368 | 2024-11-08 02:37:42 | exactness | 1 | 81242 | 1 | 2.593 | 31331.3 |
| 367 | 2024-11-06 12:50:56 | exactness | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 366 | 2024-11-05 07:48:51 | exactness | 2 | 121436 | 6 | 24.376 | 4981.8 |
| 365 | 2024-11-01 22:28:49 | exactness | 2 | 121436 | 6 | 17.936 | 6770.5 |
| 364 | 2024-11-01 22:27:45 | exactness | 1 | 81242 | 1 | 5.140 | 15805.8 |
| 363 | 2024-11-01 17:06:43 | exactness | 4 | 165329 | 430 | 79.600 | 2077.0 |
| 362 | 2024-11-01 07:46:41 | exactness | 4 | 165329 | 430 | 60.380 | 2738.1 |
| 361 | 2024-11-01 03:52:13 | exactness | 4 | 165329 | 430 | 42.816 | 3861.4 |
| 360 | 2024-10-13 05:25:53 | exactness | 3 | 148641 | 58 | 21.376 | 6953.6 |
| 359 | 2024-10-08 23:18:47 | exactness | 1 | 81242 | 1 | 5.560 | 14611.9 |
| 358 | 2024-10-07 16:49:25 | exactness | 3 | 148641 | 58 | 52.613 | 2825.2 |
| 357 | 2024-10-03 10:50:25 | exactness | 3 | 148641 | 58 | 73.576 | 2020.2 |
| 356 | 2024-10-02 13:49:43 | exactness | 3 | 148641 | 58 | 68.316 | 2175.8 |