History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"watershed"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 379 | 2026-02-10 16:20:54 | watershed | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 378 | 2026-02-10 01:45:22 | watershed | 2 | 121436 | 8 | 11.063 | 10976.8 |
| 377 | 2026-02-07 17:39:37 | watershed | 2 | 121436 | 8 | 11.720 | 10361.4 |
| 376 | 2026-02-06 20:15:39 | watershed | 3 | 148641 | 40 | 6.813 | 21817.3 |
| 375 | 2026-02-03 21:25:16 | watershed | 3 | 148641 | 40 | 7.500 | 19818.8 |
| 374 | 2026-02-03 13:35:27 | watershed | 3 | 148641 | 40 | 16.453 | 9034.3 |
| 373 | 2026-02-03 13:34:33 | watershed | 3 | 148641 | 40 | 6.783 | 21913.8 |
| 372 | 2026-02-01 01:38:28 | watershed | 4 | 165329 | 366 | 17.783 | 9297.0 |
| 371 | 2026-01-31 03:17:25 | watershed | 2 | 121436 | 8 | 16.703 | 7270.3 |
| 370 | 2026-01-30 10:52:26 | watershed | 2 | 121436 | 8 | 3.970 | 30588.4 |
| 369 | 2026-01-30 10:52:23 | watershed | 2 | 121436 | 8 | 3.780 | 32125.9 |
| 368 | 2026-01-30 00:02:39 | watershed | 4 | 165329 | 366 | 47.503 | 3480.4 |
| 367 | 2026-01-28 00:28:56 | watershed | 2 | 121436 | 8 | 7.000 | 17348.0 |
| 366 | 2026-01-28 00:28:53 | watershed | 2 | 121436 | 8 | 6.470 | 18769.1 |
| 365 | 2026-01-26 07:27:45 | watershed | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 364 | 2026-01-26 05:49:58 | watershed | 1 | 81242 | 2 | 1.403 | 57905.9 |
| 363 | 2026-01-24 04:20:13 | watershed | 4 | 165329 | 366 | 29.300 | 5642.6 |
| 362 | 2026-01-23 20:34:49 | watershed | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 361 | 2026-01-23 19:14:59 | watershed | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 360 | 2026-01-15 21:37:19 | watershed | 1 | 81242 | 2 | 1.263 | 64324.6 |
| 359 | 2025-12-27 02:32:43 | watershed | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 358 | 2025-12-10 09:05:33 | watershed | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 357 | 2025-12-02 04:29:29 | watershed | 4 | 165329 | 366 | 11.736 | 14087.3 |
| 356 | 2025-12-02 04:02:09 | watershed | 1 | 81242 | 2 | 3.546 | 22910.9 |
| 355 | 2025-12-01 14:06:10 | watershed | 4 | 165329 | 366 | 11.783 | 14031.1 |
| 354 | 2025-11-28 05:24:04 | watershed | 1 | 81242 | 2 | 2.893 | 28082.3 |
| 353 | 2025-11-25 07:46:00 | watershed | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 352 | 2025-11-23 03:02:26 | watershed | 1 | 81242 | 2 | 2.373 | 34236.0 |
| 351 | 2025-11-22 15:22:20 | watershed | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 350 | 2025-11-16 18:33:21 | watershed | 4 | 165329 | 366 | 13.156 | 12566.8 |
| 349 | 2025-11-16 01:37:51 | watershed | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 348 | 2025-11-14 05:29:49 | watershed | 4 | 165329 | 366 | 16.843 | 9815.9 |
| 347 | 2025-11-13 22:15:12 | watershed | 4 | 165329 | 366 | 11.436 | 14456.9 |
| 346 | 2025-11-09 20:09:32 | watershed | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 345 | 2025-11-09 07:25:42 | watershed | 4 | 165329 | 366 | 13.063 | 12656.3 |
| 344 | 2025-11-03 01:53:12 | watershed | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 343 | 2025-10-30 09:16:34 | watershed | 4 | 165329 | 366 | 12.813 | 12903.2 |
| 342 | 2025-10-29 11:45:53 | watershed | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 341 | 2025-10-25 12:38:38 | watershed | 4 | 165329 | 366 | 34.843 | 4745.0 |
| 340 | 2025-10-23 04:25:14 | watershed | 4 | 165329 | 366 | 61.483 | 2689.0 |
| 339 | 2025-10-23 04:24:55 | watershed | 4 | 165329 | 366 | 57.673 | 2866.7 |
| 338 | 2025-10-23 04:25:14 | watershed | 2 | 121436 | 8 | 24.970 | 4863.3 |
| 337 | 2025-10-23 04:24:32 | watershed | 4 | 165329 | 366 | 52.430 | 3153.3 |
| 336 | 2025-10-23 04:24:20 | watershed | 4 | 165329 | 366 | 62.416 | 2648.8 |
| 335 | 2025-10-23 04:24:55 | watershed | 2 | 121436 | 8 | 20.643 | 5882.7 |
| 334 | 2025-10-23 04:24:21 | watershed | 2 | 121436 | 8 | 20.550 | 5909.3 |
| 333 | 2025-10-23 04:24:29 | watershed | 2 | 121436 | 8 | 13.143 | 9239.6 |
| 332 | 2025-10-23 02:33:48 | watershed | 3 | 148641 | 40 | 7.860 | 18911.1 |
| 331 | 2025-10-22 15:00:14 | watershed | 3 | 148641 | 40 | 29.423 | 5051.9 |
| 330 | 2025-10-13 16:17:54 | watershed | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 329 | 2025-09-12 04:00:09 | watershed | 3 | 148641 | 40 | 8.656 | 17172.0 |
| 328 | 2025-08-27 05:51:22 | watershed | 3 | 148641 | 40 | 7.093 | 20956.0 |
| 327 | 2025-08-25 06:57:35 | watershed | 3 | 148641 | 40 | 27.063 | 5492.4 |
| 326 | 2025-08-23 09:54:02 | watershed | 1 | 81242 | 2 | 6.640 | 12235.2 |
| 325 | 2025-08-23 09:10:31 | watershed | 3 | 148641 | 40 | 23.893 | 6221.1 |
| 324 | 2025-08-23 01:06:10 | watershed | 1 | 81242 | 2 | 3.360 | 24179.2 |
| 323 | 2025-08-18 18:53:14 | watershed | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 322 | 2025-08-10 15:14:19 | watershed | 2 | 121436 | 8 | 9.016 | 13468.9 |
| 321 | 2025-08-09 17:56:17 | watershed | 1 | 81242 | 2 | 9.516 | 8537.4 |
| 320 | 2025-08-08 23:00:44 | watershed | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 319 | 2025-07-23 11:15:43 | watershed | 1 | 81242 | 2 | 9.110 | 8917.9 |
| 318 | 2025-07-07 04:40:25 | watershed | 1 | 81242 | 2 | 4.626 | 17562.0 |
| 317 | 2025-06-28 06:53:42 | watershed | 1 | 81242 | 2 | 9.860 | 8239.6 |
| 316 | 2025-06-26 16:54:08 | watershed | 1 | 81242 | 2 | 3.406 | 23852.6 |
| 315 | 2025-06-25 22:26:26 | watershed | 1 | 81242 | 2 | 3.403 | 23873.6 |
| 314 | 2025-06-06 04:38:11 | watershed | 1 | 81242 | 2 | 5.486 | 14809.0 |
| 313 | 2025-05-29 03:03:31 | watershed | 1 | 81242 | 2 | 6.466 | 12564.5 |
| 312 | 2025-05-26 03:03:08 | watershed | 1 | 81242 | 2 | 6.923 | 11735.1 |
| 311 | 2025-05-25 23:18:36 | watershed | 1 | 81242 | 2 | 6.563 | 12378.8 |
| 310 | 2025-05-24 17:06:41 | watershed | 1 | 81242 | 2 | 3.093 | 26266.4 |
| 309 | 2025-05-07 21:56:27 | watershed | 1 | 81242 | 2 | 6.280 | 12936.6 |
| 308 | 2025-04-09 14:23:10 | watershed | 2 | 121436 | 8 | 25.563 | 4750.5 |
| 307 | 2025-03-27 15:03:52 | watershed | 2 | 121436 | 8 | 18.390 | 6603.4 |
| 306 | 2025-03-24 17:35:23 | watershed | 1 | 81242 | 2 | 1.346 | 60358.1 |
| 305 | 2025-03-23 14:47:28 | watershed | 2 | 121436 | 8 | 17.143 | 7083.7 |
| 304 | 2025-03-18 11:08:02 | watershed | 3 | 148641 | 40 | 36.456 | 4077.3 |
| 303 | 2025-03-17 12:40:11 | watershed | 1 | 81242 | 2 | 5.436 | 14945.2 |
| 302 | 2025-03-16 07:24:04 | watershed | 3 | 148641 | 40 | 45.000 | 3303.1 |
| 301 | 2025-03-16 07:24:02 | watershed | 2 | 121436 | 8 | 21.486 | 5651.9 |
| 300 | 2025-03-16 07:23:59 | watershed | 3 | 148641 | 40 | 20.080 | 7402.4 |
| 299 | 2025-03-16 07:23:07 | watershed | 1 | 81242 | 2 | 5.830 | 13935.2 |
| 298 | 2025-03-15 09:39:12 | watershed | 1 | 81242 | 2 | 10.143 | 8009.7 |
| 297 | 2025-03-10 10:46:04 | watershed | 1 | 81242 | 2 | 6.656 | 12205.8 |
| 296 | 2025-02-22 03:34:27 | watershed | 3 | 148641 | 40 | 35.956 | 4134.0 |
| 295 | 2025-02-20 01:32:29 | watershed | 2 | 121436 | 8 | 20.283 | 5987.1 |
| 294 | 2025-02-20 00:50:12 | watershed | 2 | 121436 | 8 | 15.156 | 8012.4 |
| 293 | 2025-02-15 10:11:56 | watershed | 2 | 121436 | 8 | 15.313 | 7930.3 |
| 292 | 2025-02-09 10:18:20 | watershed | 3 | 148641 | 40 | 37.363 | 3978.3 |
| 291 | 2025-02-05 02:10:27 | watershed | 3 | 148641 | 40 | 28.410 | 5232.0 |
| 290 | 2025-02-04 18:25:20 | watershed | 3 | 148641 | 40 | 34.940 | 4254.2 |
| 289 | 2025-02-03 17:19:50 | watershed | 3 | 148641 | 40 | 28.483 | 5218.6 |
| 288 | 2025-02-03 03:17:54 | watershed | 3 | 148641 | 40 | 32.393 | 4588.7 |
| 287 | 2025-02-01 10:25:54 | watershed | 1 | 81242 | 2 | 6.610 | 12290.8 |
| 286 | 2025-01-25 22:20:55 | watershed | 1 | 81242 | 2 | 1.203 | 67532.8 |
| 285 | 2025-01-18 20:41:50 | watershed | 3 | 148641 | 40 | 52.333 | 2840.3 |
| 284 | 2025-01-17 16:08:33 | watershed | 3 | 148641 | 40 | 37.533 | 3960.3 |
| 283 | 2025-01-09 12:59:29 | watershed | 1 | 81242 | 2 | 2.720 | 29868.4 |
| 282 | 2025-01-09 12:12:19 | watershed | 3 | 148641 | 40 | 43.173 | 3442.9 |
| 281 | 2025-01-09 11:23:13 | watershed | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 280 | 2025-01-04 06:09:16 | watershed | 2 | 121436 | 8 | 17.796 | 6823.8 |