History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsector"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 338 | 2025-10-27 17:15:59 | subsector | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 337 | 2025-10-25 14:22:03 | subsector | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 336 | 2025-10-16 07:57:36 | subsector | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 335 | 2025-10-15 16:54:56 | subsector | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 334 | 2025-10-13 09:00:50 | subsector | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 333 | 2025-10-11 14:13:08 | subsector | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 332 | 2025-10-07 03:49:15 | subsector | 1 | 81242 | 2 | 2.910 | 27918.2 |
| 331 | 2025-10-03 14:48:00 | subsector | 3 | 148641 | 26 | 7.216 | 20598.8 |
| 330 | 2025-09-29 01:39:44 | subsector | 1 | 81242 | 2 | 1.670 | 48647.9 |
| 329 | 2025-09-27 16:32:11 | subsector | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 328 | 2025-09-26 16:56:32 | subsector | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 327 | 2025-09-23 04:00:34 | subsector | 3 | 148641 | 26 | 7.190 | 20673.3 |
| 326 | 2025-09-17 10:48:37 | subsector | 1 | 81242 | 2 | 1.576 | 51549.5 |
| 325 | 2025-09-15 18:24:43 | subsector | 3 | 148641 | 26 | 6.203 | 23962.8 |
| 324 | 2025-09-15 08:13:59 | subsector | 1 | 81242 | 2 | 3.720 | 21839.2 |
| 323 | 2025-09-14 16:19:50 | subsector | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 322 | 2025-09-12 20:06:35 | subsector | 1 | 81242 | 2 | 2.190 | 37096.8 |
| 321 | 2025-09-12 08:30:09 | subsector | 4 | 165329 | 181 | 10.970 | 15071.0 |
| 320 | 2025-09-10 13:28:39 | subsector | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 319 | 2025-09-09 05:33:19 | subsector | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 318 | 2025-08-27 22:49:12 | subsector | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 317 | 2025-08-27 16:17:57 | subsector | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 316 | 2025-08-26 16:55:12 | subsector | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 315 | 2025-08-11 16:33:45 | subsector | 4 | 165329 | 181 | 37.143 | 4451.1 |
| 314 | 2025-08-10 04:38:41 | subsector | 3 | 148641 | 26 | 17.173 | 8655.5 |
| 313 | 2025-08-10 00:51:47 | subsector | 4 | 165329 | 181 | 32.376 | 5106.5 |
| 312 | 2025-08-10 00:19:07 | subsector | 4 | 165329 | 181 | 27.266 | 6063.6 |
| 311 | 2025-08-08 09:24:19 | subsector | 4 | 165329 | 181 | 12.453 | 13276.2 |
| 310 | 2025-08-01 09:42:35 | subsector | 3 | 148641 | 26 | 22.516 | 6601.6 |
| 309 | 2025-07-31 07:58:53 | subsector | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 308 | 2025-07-28 01:30:50 | subsector | 1 | 81242 | 2 | 5.360 | 15157.1 |
| 307 | 2025-07-25 10:28:32 | subsector | 1 | 81242 | 2 | 5.720 | 14203.1 |
| 306 | 2025-07-20 07:52:40 | subsector | 4 | 165329 | 181 | 14.373 | 11502.7 |
| 305 | 2025-07-20 04:39:37 | subsector | 4 | 165329 | 181 | 12.173 | 13581.6 |
| 304 | 2025-07-12 06:17:51 | subsector | 4 | 165329 | 181 | 13.330 | 12402.8 |
| 303 | 2025-07-10 02:22:54 | subsector | 4 | 165329 | 181 | 83.000 | 1991.9 |
| 302 | 2025-07-07 04:52:50 | subsector | 4 | 165329 | 181 | 40.503 | 4081.9 |
| 301 | 2025-07-05 16:36:16 | subsector | 4 | 165329 | 181 | 50.676 | 3262.5 |
| 300 | 2025-07-04 14:25:06 | subsector | 1 | 81242 | 2 | 3.563 | 22801.6 |
| 299 | 2025-07-02 18:00:31 | subsector | 1 | 81242 | 2 | 5.283 | 15378.0 |
| 298 | 2025-06-27 01:26:44 | subsector | 4 | 165329 | 181 | 41.940 | 3942.0 |
| 297 | 2025-06-24 15:07:19 | subsector | 1 | 81242 | 2 | 3.390 | 23965.2 |
| 296 | 2025-06-23 19:29:18 | subsector | 4 | 165329 | 181 | 22.890 | 7222.8 |
| 295 | 2025-06-20 22:42:50 | subsector | 4 | 165329 | 181 | 56.503 | 2926.0 |
| 294 | 2025-06-20 15:06:22 | subsector | 4 | 165329 | 181 | 59.830 | 2763.3 |
| 293 | 2025-06-18 14:56:46 | subsector | 4 | 165329 | 181 | 58.456 | 2828.3 |
| 292 | 2025-06-03 15:25:20 | subsector | 4 | 165329 | 181 | 57.816 | 2859.6 |
| 291 | 2025-06-02 17:00:09 | subsector | 1 | 81242 | 2 | 6.533 | 12435.6 |
| 290 | 2025-06-02 14:04:11 | subsector | 1 | 81242 | 2 | 4.080 | 19912.3 |
| 289 | 2025-06-01 04:49:14 | subsector | 1 | 81242 | 2 | 3.970 | 20464.0 |
| 288 | 2025-06-01 01:04:49 | subsector | 4 | 165329 | 181 | 72.176 | 2290.6 |
| 287 | 2025-05-30 10:38:38 | subsector | 4 | 165329 | 181 | 54.393 | 3039.5 |
| 286 | 2025-05-30 07:34:26 | subsector | 1 | 81242 | 2 | 6.296 | 12903.7 |
| 285 | 2025-05-28 01:06:12 | subsector | 4 | 165329 | 181 | 12.296 | 13445.8 |
| 284 | 2025-05-26 02:40:51 | subsector | 4 | 165329 | 181 | 46.316 | 3569.6 |
| 283 | 2025-05-20 22:18:33 | subsector | 4 | 165329 | 181 | 13.220 | 12506.0 |
| 282 | 2025-05-03 15:39:02 | subsector | 4 | 165329 | 181 | 23.783 | 6951.6 |
| 281 | 2025-05-02 14:21:07 | subsector | 1 | 81242 | 2 | 4.110 | 19766.9 |
| 280 | 2025-04-30 16:39:20 | subsector | 1 | 81242 | 2 | 10.923 | 7437.7 |
| 279 | 2025-04-28 08:03:57 | subsector | 1 | 81242 | 2 | 4.500 | 18053.8 |
| 278 | 2025-04-23 03:14:55 | subsector | 4 | 165329 | 181 | 70.486 | 2345.6 |
| 277 | 2025-04-17 22:33:07 | subsector | 4 | 165329 | 181 | 40.096 | 4123.3 |
| 276 | 2025-04-17 12:18:39 | subsector | 3 | 148641 | 26 | 7.296 | 20372.9 |
| 275 | 2025-04-16 04:52:19 | subsector | 3 | 148641 | 26 | 32.843 | 4525.8 |
| 274 | 2025-04-14 20:41:14 | subsector | 3 | 148641 | 26 | 10.000 | 14864.1 |
| 273 | 2025-03-29 19:08:45 | subsector | 1 | 81242 | 2 | 4.296 | 18911.1 |
| 272 | 2025-03-28 08:48:58 | subsector | 3 | 148641 | 26 | 23.940 | 6208.9 |
| 271 | 2025-03-25 09:43:29 | subsector | 3 | 148641 | 26 | 49.140 | 3024.8 |
| 270 | 2025-03-23 09:12:17 | subsector | 3 | 148641 | 26 | 36.596 | 4061.7 |
| 269 | 2025-03-23 06:33:15 | subsector | 3 | 148641 | 26 | 62.813 | 2366.4 |
| 268 | 2025-03-22 09:52:51 | subsector | 1 | 81242 | 2 | 6.903 | 11769.1 |
| 267 | 2025-03-20 11:08:16 | subsector | 1 | 81242 | 2 | 7.576 | 10723.6 |
| 266 | 2025-03-12 12:29:18 | subsector | 1 | 81242 | 2 | 7.750 | 10482.8 |
| 265 | 2025-03-03 08:54:25 | subsector | 1 | 81242 | 2 | 3.406 | 23852.6 |
| 264 | 2025-02-24 19:30:39 | subsector | 2 | 121436 | 5 | 21.703 | 5595.4 |
| 263 | 2025-02-21 19:40:10 | subsector | 3 | 148641 | 26 | 36.643 | 4056.5 |
| 262 | 2025-02-21 19:39:34 | subsector | 3 | 148641 | 26 | 33.626 | 4420.4 |
| 261 | 2025-02-20 22:31:24 | subsector | 3 | 148641 | 26 | 33.923 | 4381.7 |
| 260 | 2025-02-20 22:31:17 | subsector | 3 | 148641 | 26 | 36.846 | 4034.1 |
| 259 | 2025-02-20 20:01:17 | subsector | 3 | 148641 | 26 | 35.473 | 4190.3 |
| 258 | 2025-02-20 20:01:14 | subsector | 2 | 121436 | 5 | 9.673 | 12554.1 |
| 257 | 2025-02-18 21:28:52 | subsector | 3 | 148641 | 26 | 23.533 | 6316.3 |
| 256 | 2025-02-18 15:08:34 | subsector | 4 | 165329 | 181 | 57.756 | 2862.5 |
| 255 | 2025-02-18 15:08:24 | subsector | 3 | 148641 | 26 | 39.380 | 3774.5 |
| 254 | 2025-02-18 15:08:20 | subsector | 2 | 121436 | 5 | 18.910 | 6421.8 |
| 253 | 2025-02-18 15:07:53 | subsector | 1 | 81242 | 2 | 10.686 | 7602.7 |
| 252 | 2025-02-16 20:51:47 | subsector | 1 | 81242 | 2 | 6.236 | 13027.9 |
| 251 | 2025-01-21 03:22:29 | subsector | 2 | 121436 | 5 | 21.250 | 5714.6 |
| 250 | 2025-01-21 03:22:19 | subsector | 3 | 148641 | 26 | 20.656 | 7196.0 |
| 249 | 2025-01-21 03:22:14 | subsector | 3 | 148641 | 26 | 25.216 | 5894.7 |
| 248 | 2025-01-21 03:22:04 | subsector | 1 | 81242 | 2 | 3.966 | 20484.6 |
| 247 | 2025-01-17 17:55:14 | subsector | 1 | 81242 | 2 | 6.093 | 13333.7 |
| 246 | 2025-01-13 10:19:37 | subsector | 3 | 148641 | 26 | 35.716 | 4161.7 |
| 245 | 2025-01-13 10:18:03 | subsector | 2 | 121436 | 5 | 18.126 | 6699.5 |
| 244 | 2025-01-13 10:16:37 | subsector | 1 | 81242 | 2 | 5.766 | 14089.8 |
| 243 | 2025-01-01 19:51:20 | subsector | 3 | 148641 | 26 | 36.700 | 4050.2 |
| 242 | 2024-12-30 02:14:30 | subsector | 3 | 148641 | 26 | 29.563 | 5027.9 |
| 241 | 2024-12-30 02:14:30 | subsector | 3 | 148641 | 26 | 28.423 | 5229.6 |
| 240 | 2024-12-30 02:14:34 | subsector | 2 | 121436 | 5 | 16.170 | 7510.0 |
| 239 | 2024-12-14 22:40:15 | subsector | 1 | 81242 | 2 | 3.403 | 23873.6 |