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 |
| 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 |
| 279 | 2024-12-30 07:42:21 | watershed | 2 | 121436 | 8 | 16.580 | 7324.2 |
| 278 | 2024-12-30 07:41:44 | watershed | 3 | 148641 | 40 | 35.610 | 4174.1 |
| 277 | 2024-12-26 21:53:56 | watershed | 2 | 121436 | 8 | 23.173 | 5240.4 |
| 276 | 2024-12-26 20:08:10 | watershed | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 275 | 2024-12-24 09:23:58 | watershed | 3 | 148641 | 40 | 52.206 | 2847.2 |
| 274 | 2024-12-18 10:00:03 | watershed | 4 | 165329 | 366 | 63.380 | 2608.5 |
| 273 | 2024-12-18 02:17:02 | watershed | 4 | 165329 | 366 | 78.186 | 2114.6 |
| 272 | 2024-12-17 15:27:16 | watershed | 4 | 165329 | 366 | 45.286 | 3650.8 |
| 271 | 2024-12-17 12:11:14 | watershed | 4 | 165329 | 366 | 73.236 | 2257.5 |
| 270 | 2024-12-05 16:47:53 | watershed | 3 | 148641 | 40 | 17.903 | 8302.6 |
| 269 | 2024-12-02 22:16:54 | watershed | 3 | 148641 | 40 | 30.140 | 4931.7 |
| 268 | 2024-11-22 01:12:20 | watershed | 1 | 81242 | 2 | 6.390 | 12713.9 |
| 267 | 2024-11-21 01:00:51 | watershed | 1 | 81242 | 2 | 6.686 | 12151.1 |
| 266 | 2024-11-20 07:46:05 | watershed | 3 | 148641 | 40 | 36.706 | 4049.5 |
| 265 | 2024-11-18 20:37:56 | watershed | 3 | 148641 | 40 | 44.250 | 3359.1 |
| 264 | 2024-11-12 06:22:24 | watershed | 4 | 165329 | 366 | 57.066 | 2897.2 |
| 263 | 2024-11-11 07:48:22 | watershed | 4 | 165329 | 366 | 10.626 | 15558.9 |
| 262 | 2024-11-01 21:33:14 | watershed | 3 | 148641 | 40 | 17.626 | 8433.1 |
| 261 | 2024-10-31 21:57:21 | watershed | 3 | 148641 | 40 | 47.003 | 3162.4 |
| 260 | 2024-10-31 21:03:38 | watershed | 1 | 81242 | 2 | 5.343 | 15205.3 |
| 259 | 2024-10-22 18:29:48 | watershed | 2 | 121436 | 8 | 17.590 | 6903.7 |
| 258 | 2024-10-22 18:29:16 | watershed | 1 | 81242 | 2 | 2.390 | 33992.5 |
| 257 | 2024-10-21 00:51:21 | watershed | 3 | 148641 | 40 | 40.550 | 3665.6 |
| 256 | 2024-10-20 06:53:21 | watershed | 3 | 148641 | 40 | 45.846 | 3242.2 |
| 255 | 2024-10-20 04:25:15 | watershed | 1 | 81242 | 2 | 3.186 | 25499.7 |
| 254 | 2024-10-02 10:13:18 | watershed | 3 | 148641 | 40 | 56.673 | 2622.8 |
| 253 | 2024-10-01 03:45:49 | watershed | 3 | 148641 | 40 | 70.020 | 2122.8 |
| 252 | 2024-09-25 11:45:33 | watershed | 1 | 81242 | 2 | 10.720 | 7578.5 |
| 251 | 2024-09-23 14:28:00 | watershed | 1 | 81242 | 2 | 9.890 | 8214.6 |
| 250 | 2024-09-21 19:34:40 | watershed | 1 | 81242 | 2 | 9.906 | 8201.3 |
| 249 | 2024-09-18 12:45:19 | watershed | 3 | 148641 | 40 | 81.456 | 1824.8 |
| 248 | 2024-09-13 03:49:21 | watershed | 1 | 81242 | 2 | 7.643 | 10629.6 |
| 247 | 2024-09-05 19:31:07 | watershed | 2 | 121436 | 8 | 24.410 | 4974.8 |
| 246 | 2024-08-27 01:32:29 | watershed | 3 | 148641 | 40 | 75.020 | 1981.4 |
| 245 | 2024-08-24 09:34:33 | watershed | 3 | 148641 | 40 | 90.520 | 1642.1 |
| 244 | 2024-08-24 09:34:55 | watershed | 2 | 121436 | 8 | 26.876 | 4518.4 |
| 243 | 2024-08-24 09:32:59 | watershed | 1 | 81242 | 2 | 9.560 | 8498.1 |
| 242 | 2024-08-08 23:06:41 | watershed | 1 | 81242 | 2 | 2.936 | 27671.0 |