History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tightens"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 393 | 2025-10-27 01:40:25 | tightens | 1 | 82945 | 3 | 1.470 | 56425.2 |
| 392 | 2025-08-09 10:39:44 | tightens | 1 | 82945 | 3 | 4.283 | 19366.1 |
| 391 | 2025-08-09 07:41:18 | tightens | 1 | 82945 | 3 | 3.563 | 23279.5 |
| 390 | 2025-08-02 15:23:25 | tightens | 3 | 146162 | 119 | 20.533 | 7118.4 |
| 389 | 2025-08-01 02:43:01 | tightens | 1 | 82945 | 3 | 3.766 | 22024.7 |
| 388 | 2025-07-30 22:32:58 | tightens | 1 | 82945 | 3 | 5.736 | 14460.4 |
| 387 | 2025-07-29 16:00:50 | tightens | 2 | 121059 | 20 | 8.483 | 14270.8 |
| 386 | 2025-07-29 14:31:21 | tightens | 3 | 146162 | 119 | 21.073 | 6936.0 |
| 385 | 2025-07-27 00:54:19 | tightens | 1 | 82945 | 3 | 3.640 | 22787.1 |
| 384 | 2025-07-26 15:37:43 | tightens | 1 | 82945 | 3 | 7.390 | 11224.0 |
| 383 | 2025-07-25 21:59:59 | tightens | 3 | 146162 | 119 | 7.530 | 19410.6 |
| 382 | 2025-07-25 01:49:01 | tightens | 1 | 82945 | 3 | 3.343 | 24811.5 |
| 381 | 2025-07-23 13:07:43 | tightens | 1 | 82945 | 3 | 3.410 | 24324.0 |
| 380 | 2025-07-22 19:46:59 | tightens | 3 | 146162 | 119 | 28.453 | 5137.0 |
| 379 | 2025-07-19 00:49:40 | tightens | 2 | 121059 | 20 | 3.750 | 32282.4 |
| 378 | 2025-07-18 11:02:40 | tightens | 1 | 82945 | 3 | 6.230 | 13313.8 |
| 377 | 2025-07-15 03:05:23 | tightens | 1 | 82945 | 3 | 4.796 | 17294.6 |
| 376 | 2025-07-14 08:28:21 | tightens | 2 | 121059 | 20 | 22.016 | 5498.7 |
| 375 | 2025-07-12 19:59:30 | tightens | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 374 | 2025-07-09 10:23:36 | tightens | 1 | 82945 | 3 | 1.923 | 43133.1 |
| 373 | 2025-07-07 09:03:07 | tightens | 1 | 82945 | 3 | 6.796 | 12205.0 |
| 372 | 2025-07-06 11:07:08 | tightens | 1 | 82945 | 3 | 1.406 | 58993.6 |
| 371 | 2025-06-26 00:26:41 | tightens | 1 | 82945 | 3 | 6.660 | 12454.2 |
| 370 | 2025-06-12 12:27:01 | tightens | 1 | 82945 | 3 | 3.703 | 22399.4 |
| 369 | 2025-06-05 01:11:45 | tightens | 1 | 82945 | 3 | 4.516 | 18366.9 |
| 368 | 2025-06-04 08:45:24 | tightens | 1 | 82945 | 3 | 8.940 | 9278.0 |
| 367 | 2025-06-04 06:14:05 | tightens | 1 | 82945 | 3 | 5.890 | 14082.3 |
| 366 | 2025-05-24 00:04:36 | tightens | 1 | 82945 | 3 | 10.826 | 7661.6 |
| 365 | 2025-05-14 01:06:31 | tightens | 1 | 82945 | 3 | 7.093 | 11693.9 |
| 364 | 2025-05-08 12:59:18 | tightens | 1 | 82945 | 3 | 9.826 | 8441.4 |
| 363 | 2025-05-01 22:39:27 | tightens | 1 | 82945 | 3 | 8.906 | 9313.4 |
| 362 | 2025-04-21 23:07:40 | tightens | 1 | 82945 | 3 | 10.503 | 7897.3 |
| 361 | 2025-04-12 16:16:49 | tightens | 3 | 146162 | 119 | 36.470 | 4007.7 |
| 360 | 2025-04-11 13:54:28 | tightens | 2 | 121059 | 20 | 16.466 | 7352.1 |
| 359 | 2025-04-09 18:32:57 | tightens | 3 | 146162 | 119 | 49.960 | 2925.6 |
| 358 | 2025-04-09 00:40:12 | tightens | 1 | 82945 | 3 | 6.530 | 12702.1 |
| 357 | 2025-04-08 14:58:38 | tightens | 3 | 146162 | 119 | 32.356 | 4517.3 |
| 356 | 2025-04-08 09:09:48 | tightens | 3 | 146162 | 119 | 28.423 | 5142.4 |
| 355 | 2025-04-07 04:12:45 | tightens | 2 | 121059 | 20 | 3.670 | 32986.1 |
| 354 | 2025-04-06 19:23:50 | tightens | 3 | 146162 | 119 | 34.936 | 4183.7 |
| 353 | 2025-04-06 01:17:17 | tightens | 2 | 121059 | 20 | 9.953 | 12163.1 |
| 352 | 2025-04-04 16:18:31 | tightens | 2 | 121059 | 20 | 15.360 | 7881.4 |
| 351 | 2025-04-03 12:17:28 | tightens | 1 | 82945 | 3 | 6.843 | 12121.1 |
| 350 | 2025-04-02 08:19:06 | tightens | 1 | 82945 | 3 | 3.093 | 26817.0 |
| 349 | 2025-03-21 23:41:01 | tightens | 1 | 82945 | 3 | 1.250 | 66356.0 |
| 348 | 2025-03-21 23:08:52 | tightens | 1 | 82945 | 3 | 3.453 | 24021.1 |
| 347 | 2025-03-16 23:06:50 | tightens | 1 | 82945 | 3 | 9.936 | 8347.9 |
| 346 | 2025-02-27 19:28:31 | tightens | 3 | 146162 | 119 | 52.986 | 2758.5 |
| 345 | 2025-02-27 11:35:58 | tightens | 3 | 146162 | 119 | 30.360 | 4814.3 |
| 344 | 2025-02-27 09:14:30 | tightens | 3 | 146162 | 119 | 36.676 | 3985.2 |
| 343 | 2025-02-27 03:45:34 | tightens | 3 | 146162 | 119 | 43.673 | 3346.7 |
| 342 | 2025-02-27 03:46:00 | tightens | 1 | 82945 | 3 | 3.516 | 23590.7 |
| 341 | 2025-02-27 03:45:30 | tightens | 2 | 121059 | 20 | 13.266 | 9125.5 |
| 340 | 2025-02-23 17:49:09 | tightens | 1 | 82945 | 3 | 6.936 | 11958.6 |
| 339 | 2025-02-16 02:21:14 | tightens | 1 | 82945 | 3 | 3.640 | 22787.1 |
| 338 | 2025-02-14 14:03:33 | tightens | 1 | 82945 | 3 | 2.513 | 33006.4 |
| 337 | 2025-02-09 22:39:35 | tightens | 1 | 82945 | 3 | 6.856 | 12098.2 |
| 336 | 2025-02-07 17:45:05 | tightens | 3 | 146162 | 119 | 35.426 | 4125.8 |
| 335 | 2025-02-06 21:46:40 | tightens | 2 | 121059 | 20 | 9.953 | 12163.1 |
| 334 | 2025-01-31 07:32:29 | tightens | 2 | 121059 | 20 | 14.253 | 8493.6 |
| 333 | 2025-01-28 22:17:12 | tightens | 2 | 121059 | 20 | 6.783 | 17847.4 |
| 332 | 2025-01-27 21:36:13 | tightens | 2 | 121059 | 20 | 18.330 | 6604.4 |
| 331 | 2025-01-27 21:36:13 | tightens | 1 | 82945 | 3 | 7.423 | 11174.1 |
| 330 | 2025-01-27 08:55:32 | tightens | 3 | 146162 | 119 | 34.986 | 4177.7 |
| 329 | 2025-01-26 23:17:58 | tightens | 3 | 146162 | 119 | 35.253 | 4146.1 |
| 328 | 2025-01-24 19:11:00 | tightens | 3 | 146162 | 119 | 15.780 | 9262.5 |
| 327 | 2025-01-21 11:44:47 | tightens | 1 | 82945 | 3 | 7.250 | 11440.7 |
| 326 | 2025-01-13 09:57:09 | tightens | 3 | 146162 | 119 | 37.176 | 3931.6 |
| 325 | 2025-01-08 02:30:19 | tightens | 1 | 82945 | 3 | 2.966 | 27965.3 |
| 324 | 2025-01-03 14:10:44 | tightens | 2 | 121059 | 20 | 3.610 | 33534.3 |
| 323 | 2024-12-30 19:51:34 | tightens | 2 | 121059 | 20 | 3.733 | 32429.4 |
| 322 | 2024-12-28 05:08:06 | tightens | 1 | 82945 | 3 | 3.143 | 26390.4 |
| 321 | 2024-12-27 06:50:08 | tightens | 2 | 121059 | 20 | 18.516 | 6538.1 |
| 320 | 2024-12-27 06:50:04 | tightens | 1 | 82945 | 3 | 3.046 | 27230.8 |
| 319 | 2024-12-25 17:07:14 | tightens | 3 | 146162 | 119 | 11.063 | 13211.8 |
| 318 | 2024-12-25 07:38:18 | tightens | 3 | 146162 | 119 | 33.470 | 4367.0 |
| 317 | 2024-12-25 03:52:12 | tightens | 3 | 146162 | 119 | 30.050 | 4864.0 |
| 316 | 2024-12-25 02:46:05 | tightens | 3 | 146162 | 119 | 38.066 | 3839.7 |
| 315 | 2024-12-21 02:15:36 | tightens | 1 | 82945 | 3 | 6.126 | 13539.8 |
| 314 | 2024-12-08 20:17:51 | tightens | 1 | 82945 | 3 | 10.220 | 8115.9 |
| 313 | 2024-12-08 04:47:51 | tightens | 1 | 82945 | 3 | 5.486 | 15119.4 |
| 312 | 2024-11-27 14:12:22 | tightens | 2 | 121059 | 20 | 3.563 | 33976.7 |
| 311 | 2024-11-25 02:43:42 | tightens | 1 | 82945 | 3 | 5.533 | 14991.0 |
| 310 | 2024-11-24 09:22:55 | tightens | 3 | 146162 | 119 | 37.360 | 3912.3 |
| 309 | 2024-11-22 04:56:33 | tightens | 2 | 121059 | 20 | 13.280 | 9115.9 |
| 308 | 2024-11-18 02:37:23 | tightens | 3 | 146162 | 119 | 37.983 | 3848.1 |
| 307 | 2024-11-16 17:24:04 | tightens | 2 | 121059 | 20 | 13.300 | 9102.2 |
| 306 | 2024-11-16 17:24:05 | tightens | 1 | 82945 | 3 | 6.830 | 12144.2 |
| 305 | 2024-11-16 17:16:22 | tightens | 3 | 146162 | 119 | 7.233 | 20207.7 |
| 304 | 2024-11-14 01:20:49 | tightens | 3 | 146162 | 119 | 8.483 | 17230.0 |
| 303 | 2024-11-14 01:20:41 | tightens | 2 | 121059 | 20 | 5.280 | 22927.8 |
| 302 | 2024-11-07 06:26:35 | tightens | 1 | 82945 | 3 | 4.373 | 18967.5 |
| 301 | 2024-11-05 05:36:48 | tightens | 1 | 82945 | 3 | 3.673 | 22582.4 |
| 300 | 2024-10-24 13:23:32 | tightens | 1 | 82945 | 3 | 5.830 | 14227.3 |
| 299 | 2024-10-17 15:16:45 | tightens | 1 | 82945 | 3 | 9.000 | 9216.1 |
| 298 | 2024-10-06 21:43:57 | tightens | 1 | 82945 | 3 | 10.563 | 7852.4 |
| 297 | 2024-09-25 15:37:21 | tightens | 1 | 82945 | 3 | 11.203 | 7403.8 |
| 296 | 2024-09-19 06:55:01 | tightens | 1 | 82945 | 3 | 8.766 | 9462.1 |
| 295 | 2024-09-15 21:59:47 | tightens | 1 | 82945 | 3 | 9.656 | 8590.0 |
| 294 | 2024-09-10 23:08:40 | tightens | 1 | 82945 | 3 | 5.250 | 15799.0 |