History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"vagueness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 407 | 2025-12-13 04:09:39 | vagueness | 4 | 165329 | 511 | 10.906 | 15159.5 |
| 406 | 2025-12-09 13:45:25 | vagueness | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 405 | 2025-11-26 04:55:23 | vagueness | 1 | 81242 | 1 | 1.373 | 59171.2 |
| 404 | 2025-11-23 22:04:22 | vagueness | 1 | 81242 | 1 | 1.953 | 41598.6 |
| 403 | 2025-11-20 00:01:23 | vagueness | 4 | 165329 | 511 | 17.860 | 9256.9 |
| 402 | 2025-11-15 10:04:35 | vagueness | 1 | 81242 | 1 | 1.263 | 64324.6 |
| 401 | 2025-11-13 20:35:42 | vagueness | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 400 | 2025-11-08 09:10:48 | vagueness | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 399 | 2025-11-03 00:26:47 | vagueness | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 398 | 2025-10-26 22:46:44 | vagueness | 1 | 81242 | 1 | 1.420 | 57212.7 |
| 397 | 2025-10-20 02:42:56 | vagueness | 4 | 165329 | 511 | 44.926 | 3680.0 |
| 396 | 2025-10-20 02:42:12 | vagueness | 4 | 165329 | 511 | 55.180 | 2996.2 |
| 395 | 2025-10-19 22:56:49 | vagueness | 4 | 165329 | 511 | 11.766 | 14051.4 |
| 394 | 2025-10-17 16:28:22 | vagueness | 4 | 165329 | 511 | 10.593 | 15607.4 |
| 393 | 2025-10-14 01:36:35 | vagueness | 4 | 165329 | 511 | 11.983 | 13797.0 |
| 392 | 2025-10-12 11:42:41 | vagueness | 4 | 165329 | 511 | 17.703 | 9339.0 |
| 391 | 2025-10-10 10:28:47 | vagueness | 1 | 81242 | 1 | 1.330 | 61084.2 |
| 390 | 2025-10-03 16:59:19 | vagueness | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 389 | 2025-10-02 02:32:14 | vagueness | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 388 | 2025-09-19 13:35:34 | vagueness | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 387 | 2025-09-09 09:06:39 | vagueness | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 386 | 2025-09-09 01:51:37 | vagueness | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 385 | 2025-09-04 14:22:53 | vagueness | 1 | 81242 | 1 | 1.373 | 59171.2 |
| 384 | 2025-08-27 11:47:54 | vagueness | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 383 | 2025-08-24 11:06:58 | vagueness | 1 | 81242 | 1 | 7.173 | 11326.1 |
| 382 | 2025-08-23 05:55:49 | vagueness | 3 | 148641 | 51 | 19.566 | 7596.9 |
| 381 | 2025-08-20 12:10:37 | vagueness | 1 | 81242 | 1 | 1.283 | 63321.9 |
| 380 | 2025-08-19 11:31:50 | vagueness | 1 | 81242 | 1 | 3.063 | 26523.7 |
| 379 | 2025-08-19 09:10:54 | vagueness | 2 | 121436 | 4 | 7.923 | 15327.0 |
| 378 | 2025-08-18 14:50:15 | vagueness | 3 | 148641 | 51 | 7.173 | 20722.3 |
| 377 | 2025-08-17 21:06:16 | vagueness | 4 | 165329 | 511 | 46.020 | 3592.5 |
| 376 | 2025-08-17 12:37:16 | vagueness | 4 | 165329 | 511 | 31.656 | 5222.7 |
| 375 | 2025-08-16 20:34:47 | vagueness | 4 | 165329 | 511 | 28.116 | 5880.2 |
| 374 | 2025-08-16 00:38:10 | vagueness | 4 | 165329 | 511 | 15.406 | 10731.5 |
| 373 | 2025-08-15 15:43:03 | vagueness | 2 | 121436 | 4 | 14.110 | 8606.4 |
| 372 | 2025-08-15 00:38:00 | vagueness | 3 | 148641 | 51 | 16.936 | 8776.6 |
| 371 | 2025-08-14 21:58:01 | vagueness | 4 | 165329 | 511 | 57.940 | 2853.5 |
| 370 | 2025-08-14 04:11:40 | vagueness | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 369 | 2025-08-09 06:58:08 | vagueness | 1 | 81242 | 1 | 5.406 | 15028.1 |
| 368 | 2025-08-07 08:57:44 | vagueness | 1 | 81242 | 1 | 4.436 | 18314.2 |
| 367 | 2025-07-24 15:37:20 | vagueness | 1 | 81242 | 1 | 5.250 | 15474.7 |
| 366 | 2025-07-23 21:12:23 | vagueness | 1 | 81242 | 1 | 5.376 | 15112.0 |
| 365 | 2025-07-23 13:07:29 | vagueness | 1 | 81242 | 1 | 5.533 | 14683.2 |
| 364 | 2025-07-22 16:42:53 | vagueness | 1 | 81242 | 1 | 4.000 | 20310.5 |
| 363 | 2025-07-19 05:12:01 | vagueness | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 362 | 2025-07-09 21:52:45 | vagueness | 2 | 121436 | 4 | 8.903 | 13639.9 |
| 361 | 2025-07-09 07:06:05 | vagueness | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 360 | 2025-07-08 07:13:01 | vagueness | 4 | 165329 | 511 | 67.690 | 2442.4 |
| 359 | 2025-07-07 15:14:23 | vagueness | 4 | 165329 | 511 | 72.180 | 2290.5 |
| 358 | 2025-07-03 17:39:54 | vagueness | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 357 | 2025-07-03 04:01:00 | vagueness | 1 | 81242 | 1 | 3.326 | 24426.3 |
| 356 | 2025-06-28 17:42:54 | vagueness | 3 | 148641 | 51 | 10.546 | 14094.5 |
| 355 | 2025-06-27 13:18:46 | vagueness | 3 | 148641 | 51 | 36.503 | 4072.0 |
| 354 | 2025-06-27 03:42:36 | vagueness | 3 | 148641 | 51 | 18.890 | 7868.8 |
| 353 | 2025-06-26 09:51:51 | vagueness | 3 | 148641 | 51 | 42.063 | 3533.8 |
| 352 | 2025-06-26 00:00:53 | vagueness | 3 | 148641 | 51 | 37.706 | 3942.1 |
| 351 | 2025-06-25 05:29:42 | vagueness | 3 | 148641 | 51 | 34.346 | 4327.8 |
| 350 | 2025-06-24 14:27:25 | vagueness | 2 | 121436 | 4 | 19.436 | 6248.0 |
| 349 | 2025-06-24 10:06:15 | vagueness | 4 | 165329 | 511 | 52.753 | 3134.0 |
| 348 | 2025-06-23 11:25:44 | vagueness | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 347 | 2025-06-22 06:06:01 | vagueness | 3 | 148641 | 51 | 19.813 | 7502.2 |
| 346 | 2025-06-21 08:28:06 | vagueness | 3 | 148641 | 51 | 6.360 | 23371.2 |
| 345 | 2025-06-16 11:05:37 | vagueness | 1 | 81242 | 1 | 8.966 | 9061.1 |
| 344 | 2025-06-11 10:51:49 | vagueness | 1 | 81242 | 1 | 5.423 | 14981.0 |
| 343 | 2025-06-08 07:01:34 | vagueness | 1 | 81242 | 1 | 4.826 | 16834.2 |
| 342 | 2025-06-02 12:38:54 | vagueness | 1 | 81242 | 1 | 9.110 | 8917.9 |
| 341 | 2025-05-26 18:16:02 | vagueness | 3 | 148641 | 51 | 29.893 | 4972.4 |
| 340 | 2025-05-26 09:15:04 | vagueness | 2 | 121436 | 4 | 19.190 | 6328.1 |
| 339 | 2025-05-26 01:00:16 | vagueness | 3 | 148641 | 51 | 21.563 | 6893.3 |
| 338 | 2025-05-20 10:03:16 | vagueness | 3 | 148641 | 51 | 45.360 | 3276.9 |
| 337 | 2025-05-19 11:05:11 | vagueness | 1 | 81242 | 1 | 1.420 | 57212.7 |
| 336 | 2025-05-10 15:03:56 | vagueness | 1 | 81242 | 1 | 9.516 | 8537.4 |
| 335 | 2025-05-06 04:15:00 | vagueness | 1 | 81242 | 1 | 4.643 | 17497.7 |
| 334 | 2025-04-26 18:23:32 | vagueness | 3 | 148641 | 51 | 49.363 | 3011.2 |
| 333 | 2025-04-25 21:44:04 | vagueness | 2 | 121436 | 4 | 26.126 | 4648.1 |
| 332 | 2025-04-25 06:33:46 | vagueness | 1 | 81242 | 1 | 7.593 | 10699.6 |
| 331 | 2025-04-18 10:52:18 | vagueness | 1 | 81242 | 1 | 5.796 | 14016.9 |
| 330 | 2025-04-04 08:07:04 | vagueness | 1 | 81242 | 1 | 3.126 | 25989.1 |
| 329 | 2025-03-29 22:01:13 | vagueness | 3 | 148641 | 51 | 34.753 | 4277.1 |
| 328 | 2025-03-29 12:16:07 | vagueness | 1 | 81242 | 1 | 6.296 | 12903.7 |
| 327 | 2025-03-29 11:40:13 | vagueness | 1 | 81242 | 1 | 10.110 | 8035.8 |
| 326 | 2025-03-28 19:15:16 | vagueness | 3 | 148641 | 51 | 7.156 | 20771.5 |
| 325 | 2025-03-25 20:32:56 | vagueness | 2 | 121436 | 4 | 21.973 | 5526.6 |
| 324 | 2025-03-25 19:18:46 | vagueness | 3 | 148641 | 51 | 31.096 | 4780.1 |
| 323 | 2025-03-24 08:14:30 | vagueness | 1 | 81242 | 1 | 3.016 | 26937.0 |
| 322 | 2025-03-22 19:22:07 | vagueness | 3 | 148641 | 51 | 7.250 | 20502.2 |
| 321 | 2025-03-21 17:38:48 | vagueness | 3 | 148641 | 51 | 25.990 | 5719.2 |
| 320 | 2025-03-21 07:54:28 | vagueness | 3 | 148641 | 51 | 53.316 | 2787.9 |
| 319 | 2025-03-20 13:13:30 | vagueness | 1 | 81242 | 1 | 3.736 | 21745.7 |
| 318 | 2025-03-19 14:32:05 | vagueness | 3 | 148641 | 51 | 33.656 | 4416.5 |
| 317 | 2025-03-17 11:11:33 | vagueness | 3 | 148641 | 51 | 36.753 | 4044.3 |
| 316 | 2025-03-13 04:57:14 | vagueness | 1 | 81242 | 1 | 6.656 | 12205.8 |
| 315 | 2025-03-06 17:53:35 | vagueness | 3 | 148641 | 51 | 52.426 | 2835.3 |
| 314 | 2025-02-28 15:08:53 | vagueness | 2 | 121436 | 4 | 12.250 | 9913.1 |
| 313 | 2025-02-26 15:47:32 | vagueness | 1 | 81242 | 1 | 5.750 | 14129.0 |
| 312 | 2025-02-19 23:09:03 | vagueness | 2 | 121436 | 4 | 16.640 | 7297.8 |
| 311 | 2025-02-16 16:19:12 | vagueness | 3 | 148641 | 51 | 36.546 | 4067.2 |
| 310 | 2025-02-16 16:16:07 | vagueness | 1 | 81242 | 1 | 4.016 | 20229.6 |
| 309 | 2025-02-13 08:41:36 | vagueness | 3 | 148641 | 51 | 30.266 | 4911.2 |
| 308 | 2025-02-07 09:51:05 | vagueness | 3 | 148641 | 51 | 29.976 | 4958.7 |