History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nontarget"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 444 | 2026-01-31 03:46:32 | nontarget | 2 | 121436 | 2 | 3.516 | 34538.1 |
| 443 | 2026-01-29 22:35:31 | nontarget | 2 | 121436 | 2 | 7.470 | 16256.5 |
| 442 | 2026-01-26 21:41:36 | nontarget | 2 | 121436 | 2 | 6.876 | 17660.8 |
| 441 | 2026-01-23 18:55:04 | nontarget | 2 | 121436 | 2 | 4.050 | 29984.2 |
| 440 | 2026-01-22 07:02:28 | nontarget | 2 | 121436 | 2 | 18.656 | 6509.2 |
| 439 | 2026-01-20 23:42:04 | nontarget | 2 | 121436 | 2 | 16.720 | 7262.9 |
| 438 | 2026-01-19 13:31:39 | nontarget | 2 | 121436 | 2 | 3.173 | 38271.7 |
| 437 | 2026-01-18 06:06:22 | nontarget | 2 | 121436 | 2 | 25.986 | 4673.1 |
| 436 | 2026-01-17 23:56:53 | nontarget | 1 | 81242 | 1 | 1.703 | 47705.2 |
| 435 | 2026-01-14 04:00:48 | nontarget | 2 | 121436 | 2 | 16.563 | 7331.8 |
| 434 | 2026-01-10 07:45:32 | nontarget | 2 | 121436 | 2 | 3.406 | 35653.6 |
| 433 | 2026-01-06 20:37:49 | nontarget | 2 | 121436 | 2 | 3.423 | 35476.5 |
| 432 | 2026-01-04 18:19:57 | nontarget | 2 | 121436 | 2 | 7.360 | 16499.5 |
| 431 | 2025-12-30 19:01:10 | nontarget | 2 | 121436 | 2 | 3.186 | 38115.5 |
| 430 | 2025-12-29 17:40:51 | nontarget | 2 | 121436 | 2 | 4.780 | 25405.0 |
| 429 | 2025-12-28 14:50:14 | nontarget | 2 | 121436 | 2 | 3.296 | 36843.4 |
| 428 | 2025-12-27 13:07:12 | nontarget | 2 | 121436 | 2 | 3.313 | 36654.4 |
| 427 | 2025-12-23 11:14:15 | nontarget | 2 | 121436 | 2 | 3.736 | 32504.3 |
| 426 | 2025-12-22 10:46:16 | nontarget | 2 | 121436 | 2 | 3.610 | 33638.8 |
| 425 | 2025-12-20 07:24:20 | nontarget | 2 | 121436 | 2 | 5.546 | 21896.1 |
| 424 | 2025-12-19 15:56:57 | nontarget | 3 | 148641 | 22 | 7.406 | 20070.3 |
| 423 | 2025-12-11 23:24:44 | nontarget | 2 | 121436 | 2 | 3.170 | 38307.9 |
| 422 | 2025-12-10 21:25:50 | nontarget | 2 | 121436 | 2 | 3.703 | 32794.0 |
| 421 | 2025-12-09 21:19:00 | nontarget | 2 | 121436 | 2 | 3.593 | 33797.9 |
| 420 | 2025-12-08 18:56:03 | nontarget | 2 | 121436 | 2 | 3.796 | 31990.5 |
| 419 | 2025-12-07 17:28:33 | nontarget | 2 | 121436 | 2 | 3.733 | 32530.4 |
| 418 | 2025-12-03 13:35:16 | nontarget | 3 | 148641 | 22 | 7.403 | 20078.5 |
| 417 | 2025-12-03 11:39:00 | nontarget | 2 | 121436 | 2 | 5.593 | 21712.1 |
| 416 | 2025-11-23 09:42:04 | nontarget | 3 | 148641 | 22 | 7.516 | 19776.6 |
| 415 | 2025-11-19 07:50:53 | nontarget | 3 | 148641 | 22 | 13.643 | 10895.0 |
| 414 | 2025-11-17 14:43:52 | nontarget | 3 | 148641 | 22 | 7.313 | 20325.6 |
| 413 | 2025-10-21 15:58:06 | nontarget | 3 | 148641 | 22 | 24.083 | 6172.0 |
| 412 | 2025-10-20 06:59:22 | nontarget | 3 | 148641 | 22 | 13.140 | 11312.1 |
| 411 | 2025-10-13 05:25:17 | nontarget | 3 | 148641 | 22 | 6.233 | 23847.4 |
| 410 | 2025-10-07 09:32:55 | nontarget | 2 | 121436 | 2 | 3.936 | 30852.6 |
| 409 | 2025-10-06 22:22:46 | nontarget | 3 | 148641 | 22 | 7.830 | 18983.5 |
| 408 | 2025-10-02 03:45:32 | nontarget | 3 | 148641 | 22 | 6.673 | 22275.0 |
| 407 | 2025-09-30 23:43:01 | nontarget | 3 | 148641 | 22 | 6.750 | 22020.9 |
| 406 | 2025-09-29 20:42:16 | nontarget | 3 | 148641 | 22 | 7.610 | 19532.3 |
| 405 | 2025-09-28 14:27:48 | nontarget | 1 | 81242 | 1 | 1.533 | 52995.4 |
| 404 | 2025-09-27 14:50:00 | nontarget | 3 | 148641 | 22 | 7.266 | 20457.1 |
| 403 | 2025-09-23 03:16:20 | nontarget | 3 | 148641 | 22 | 8.470 | 17549.1 |
| 402 | 2025-09-21 10:34:37 | nontarget | 3 | 148641 | 22 | 6.436 | 23095.2 |
| 401 | 2025-09-14 12:14:37 | nontarget | 2 | 121436 | 2 | 3.846 | 31574.6 |
| 400 | 2025-09-10 08:19:10 | nontarget | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 399 | 2025-09-09 16:40:18 | nontarget | 2 | 121436 | 2 | 4.263 | 28486.0 |
| 398 | 2025-08-26 05:33:29 | nontarget | 3 | 148641 | 22 | 6.796 | 21871.8 |
| 397 | 2025-08-23 12:27:00 | nontarget | 3 | 148641 | 22 | 40.783 | 3644.7 |
| 396 | 2025-08-22 00:11:14 | nontarget | 3 | 148641 | 22 | 7.686 | 19339.2 |
| 395 | 2025-08-21 13:02:57 | nontarget | 3 | 148641 | 22 | 35.330 | 4207.2 |
| 394 | 2025-08-21 05:32:51 | nontarget | 3 | 148641 | 22 | 17.940 | 8285.5 |
| 393 | 2025-08-20 21:46:07 | nontarget | 3 | 148641 | 22 | 29.986 | 4957.0 |
| 392 | 2025-08-20 16:52:46 | nontarget | 3 | 148641 | 22 | 7.190 | 20673.3 |
| 391 | 2025-08-20 10:48:00 | nontarget | 3 | 148641 | 22 | 7.580 | 19609.6 |
| 390 | 2025-08-20 05:00:26 | nontarget | 3 | 148641 | 22 | 6.983 | 21286.1 |
| 389 | 2025-08-19 17:27:11 | nontarget | 3 | 148641 | 22 | 18.280 | 8131.3 |
| 388 | 2025-08-19 04:03:23 | nontarget | 3 | 148641 | 22 | 20.783 | 7152.0 |
| 387 | 2025-08-18 15:49:30 | nontarget | 3 | 148641 | 22 | 7.593 | 19576.1 |
| 386 | 2025-08-18 08:47:40 | nontarget | 3 | 148641 | 22 | 6.360 | 23371.2 |
| 385 | 2025-08-18 01:52:29 | nontarget | 3 | 148641 | 22 | 9.000 | 16515.7 |
| 384 | 2025-08-16 04:07:47 | nontarget | 3 | 148641 | 22 | 7.296 | 20372.9 |
| 383 | 2025-08-16 02:37:47 | nontarget | 2 | 121436 | 2 | 3.796 | 31990.5 |
| 382 | 2025-08-14 12:12:32 | nontarget | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 381 | 2025-08-11 02:12:03 | nontarget | 1 | 81242 | 1 | 3.093 | 26266.4 |
| 380 | 2025-08-04 06:09:11 | nontarget | 1 | 81242 | 1 | 4.860 | 16716.5 |
| 379 | 2025-08-01 15:09:37 | nontarget | 1 | 81242 | 1 | 3.263 | 24897.9 |
| 378 | 2025-07-31 16:54:23 | nontarget | 1 | 81242 | 1 | 2.736 | 29693.7 |
| 377 | 2025-07-27 06:31:23 | nontarget | 1 | 81242 | 1 | 3.310 | 24544.4 |
| 376 | 2025-07-25 02:32:55 | nontarget | 1 | 81242 | 1 | 7.203 | 11278.9 |
| 375 | 2025-07-24 05:56:01 | nontarget | 1 | 81242 | 1 | 3.453 | 23527.9 |
| 374 | 2025-07-19 13:20:04 | nontarget | 1 | 81242 | 1 | 1.360 | 59736.8 |
| 373 | 2025-07-19 06:46:01 | nontarget | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 372 | 2025-07-17 15:20:37 | nontarget | 1 | 81242 | 1 | 3.703 | 21939.5 |
| 371 | 2025-07-15 19:00:37 | nontarget | 1 | 81242 | 1 | 1.403 | 57905.9 |
| 370 | 2025-07-05 23:23:23 | nontarget | 1 | 81242 | 1 | 2.343 | 34674.3 |
| 369 | 2025-06-30 14:18:55 | nontarget | 1 | 81242 | 1 | 3.843 | 21140.3 |
| 368 | 2025-06-29 19:48:02 | nontarget | 1 | 81242 | 1 | 8.923 | 9104.8 |
| 367 | 2025-06-24 11:41:32 | nontarget | 1 | 81242 | 1 | 7.206 | 11274.2 |
| 366 | 2025-06-24 02:26:56 | nontarget | 1 | 81242 | 1 | 5.860 | 13863.8 |
| 365 | 2025-06-18 05:54:33 | nontarget | 1 | 81242 | 1 | 4.940 | 16445.7 |
| 364 | 2025-06-15 11:50:39 | nontarget | 1 | 81242 | 1 | 1.313 | 61875.1 |
| 363 | 2025-06-14 21:34:16 | nontarget | 1 | 81242 | 1 | 3.360 | 24179.2 |
| 362 | 2025-05-16 08:38:32 | nontarget | 3 | 148641 | 22 | 29.966 | 4960.3 |
| 361 | 2025-05-14 15:43:09 | nontarget | 2 | 121436 | 2 | 16.123 | 7531.8 |
| 360 | 2025-05-13 23:19:17 | nontarget | 3 | 148641 | 22 | 37.626 | 3950.5 |
| 359 | 2025-05-13 20:56:50 | nontarget | 1 | 81242 | 1 | 3.360 | 24179.2 |
| 358 | 2025-05-13 05:26:35 | nontarget | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 357 | 2025-05-06 07:40:39 | nontarget | 1 | 81242 | 1 | 8.173 | 9940.3 |
| 356 | 2025-05-04 07:52:37 | nontarget | 1 | 81242 | 1 | 7.873 | 10319.1 |
| 355 | 2025-04-11 06:28:17 | nontarget | 4 | 165329 | 209 | 47.816 | 3457.6 |
| 354 | 2025-04-04 20:18:54 | nontarget | 4 | 165329 | 209 | 49.330 | 3351.5 |
| 353 | 2025-04-02 12:10:19 | nontarget | 1 | 81242 | 1 | 3.190 | 25467.7 |
| 352 | 2025-04-01 21:27:58 | nontarget | 4 | 165329 | 209 | 44.926 | 3680.0 |
| 351 | 2025-04-01 20:53:32 | nontarget | 2 | 121436 | 2 | 26.296 | 4618.0 |
| 350 | 2025-04-01 04:07:26 | nontarget | 3 | 148641 | 22 | 7.563 | 19653.7 |
| 349 | 2025-03-29 09:05:26 | nontarget | 3 | 148641 | 22 | 30.983 | 4797.5 |
| 348 | 2025-03-29 04:44:59 | nontarget | 2 | 121436 | 2 | 10.843 | 11199.5 |
| 347 | 2025-03-28 09:16:04 | nontarget | 1 | 81242 | 1 | 1.420 | 57212.7 |
| 346 | 2025-03-25 02:55:59 | nontarget | 1 | 81242 | 1 | 6.546 | 12410.9 |
| 345 | 2025-03-01 14:43:35 | nontarget | 3 | 148641 | 22 | 35.580 | 4177.7 |