History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"toroidally"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 372 | 2026-04-16 19:31:55 | toroidally | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 371 | 2026-04-14 07:09:41 | toroidally | 1 | 67641 | 1 | 2.393 | 28266.2 |
| 370 | 2026-04-11 20:03:31 | toroidally | 4 | 161450 | 142 | 34.926 | 4622.6 |
| 369 | 2026-04-10 07:57:34 | toroidally | 1 | 67641 | 1 | 2.406 | 28113.5 |
| 368 | 2026-04-04 04:25:50 | toroidally | 4 | 161450 | 142 | 53.796 | 3001.2 |
| 367 | 2026-04-04 04:25:32 | toroidally | 4 | 161450 | 142 | 59.080 | 2732.7 |
| 366 | 2026-04-04 04:25:31 | toroidally | 4 | 161450 | 142 | 51.223 | 3151.9 |
| 365 | 2026-03-29 21:21:45 | toroidally | 1 | 67641 | 1 | 8.173 | 8276.2 |
| 364 | 2026-03-23 01:56:30 | toroidally | 4 | 161450 | 142 | 59.126 | 2730.6 |
| 363 | 2026-03-21 22:26:31 | toroidally | 1 | 67641 | 1 | 4.030 | 16784.4 |
| 362 | 2026-03-21 05:55:23 | toroidally | 4 | 161450 | 142 | 78.770 | 2049.6 |
| 361 | 2026-03-18 14:04:44 | toroidally | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 360 | 2026-03-17 22:52:50 | toroidally | 4 | 161450 | 142 | 60.266 | 2679.0 |
| 359 | 2026-03-16 10:02:44 | toroidally | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 358 | 2026-03-15 10:57:53 | toroidally | 4 | 161450 | 142 | 10.970 | 14717.4 |
| 357 | 2026-03-13 00:51:38 | toroidally | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 356 | 2026-03-12 14:40:52 | toroidally | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 355 | 2026-03-12 09:50:48 | toroidally | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 354 | 2026-03-12 09:01:37 | toroidally | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 353 | 2026-03-12 08:55:40 | toroidally | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 352 | 2026-03-12 08:43:33 | toroidally | 1 | 67641 | 1 | 5.420 | 12479.9 |
| 351 | 2026-03-12 08:22:02 | toroidally | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 350 | 2026-03-12 06:10:49 | toroidally | 1 | 67641 | 1 | 3.673 | 18415.7 |
| 349 | 2026-02-28 12:28:23 | toroidally | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 348 | 2026-02-23 18:57:42 | toroidally | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 347 | 2026-02-22 23:44:14 | toroidally | 1 | 67641 | 1 | 1.376 | 49157.7 |
| 346 | 2026-02-19 19:55:33 | toroidally | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 345 | 2026-02-19 08:54:46 | toroidally | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 344 | 2026-01-30 00:26:35 | toroidally | 4 | 161450 | 142 | 40.410 | 3995.3 |
| 343 | 2026-01-30 00:26:29 | toroidally | 4 | 161450 | 142 | 37.316 | 4326.6 |
| 342 | 2026-01-30 00:26:01 | toroidally | 4 | 161450 | 142 | 45.393 | 3556.7 |
| 341 | 2026-01-29 19:40:18 | toroidally | 4 | 161450 | 142 | 31.626 | 5105.0 |
| 340 | 2026-01-29 19:39:41 | toroidally | 4 | 161450 | 142 | 53.016 | 3045.3 |
| 339 | 2026-01-29 19:39:16 | toroidally | 4 | 161450 | 142 | 57.706 | 2797.8 |
| 338 | 2026-01-29 19:38:55 | toroidally | 4 | 161450 | 142 | 46.520 | 3470.6 |
| 337 | 2026-01-29 15:25:28 | toroidally | 4 | 161450 | 142 | 33.250 | 4855.6 |
| 336 | 2026-01-29 15:25:12 | toroidally | 4 | 161450 | 142 | 44.800 | 3603.8 |
| 335 | 2026-01-29 15:24:55 | toroidally | 4 | 161450 | 142 | 47.080 | 3429.3 |
| 334 | 2026-01-29 15:24:22 | toroidally | 4 | 161450 | 142 | 63.076 | 2559.6 |
| 333 | 2026-01-24 12:39:14 | toroidally | 4 | 161450 | 142 | 33.376 | 4837.3 |
| 332 | 2026-01-24 12:38:52 | toroidally | 4 | 161450 | 142 | 49.066 | 3290.5 |
| 331 | 2026-01-24 00:28:16 | toroidally | 4 | 161450 | 142 | 25.860 | 6243.2 |
| 330 | 2026-01-22 06:28:10 | toroidally | 4 | 161450 | 142 | 53.926 | 2993.9 |
| 329 | 2026-01-22 06:27:45 | toroidally | 4 | 161450 | 142 | 55.316 | 2918.7 |
| 328 | 2026-01-21 22:39:35 | toroidally | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 327 | 2026-01-13 19:55:31 | toroidally | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 326 | 2026-01-09 06:09:09 | toroidally | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 325 | 2026-01-08 22:30:48 | toroidally | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 324 | 2026-01-08 12:03:11 | toroidally | 1 | 67641 | 1 | 1.280 | 52844.5 |
| 323 | 2026-01-04 10:30:19 | toroidally | 4 | 161450 | 142 | 26.953 | 5990.1 |
| 322 | 2026-01-04 03:02:22 | toroidally | 1 | 67641 | 1 | 1.313 | 51516.4 |
| 321 | 2026-01-03 09:16:54 | toroidally | 4 | 161450 | 142 | 69.820 | 2312.4 |
| 320 | 2025-12-31 22:01:42 | toroidally | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 319 | 2025-12-29 19:20:59 | toroidally | 4 | 161450 | 142 | 10.673 | 15127.0 |
| 318 | 2025-12-25 19:08:33 | toroidally | 4 | 161450 | 142 | 11.923 | 13541.1 |
| 317 | 2025-12-08 11:18:11 | toroidally | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 316 | 2025-12-07 08:54:43 | toroidally | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 315 | 2025-12-02 06:49:29 | toroidally | 4 | 161450 | 142 | 11.483 | 14059.9 |
| 314 | 2025-12-01 16:39:10 | toroidally | 4 | 161450 | 142 | 11.656 | 13851.2 |
| 313 | 2025-11-16 12:38:57 | toroidally | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 312 | 2025-11-15 07:28:17 | toroidally | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 311 | 2025-11-12 05:32:59 | toroidally | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 310 | 2025-09-14 14:24:24 | toroidally | 2 | 108824 | 2 | 3.046 | 35726.9 |
| 309 | 2025-09-14 03:37:17 | toroidally | 4 | 161450 | 142 | 10.156 | 15897.0 |
| 308 | 2025-09-09 20:52:50 | toroidally | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 307 | 2025-09-07 13:52:04 | toroidally | 4 | 161450 | 142 | 12.080 | 13365.1 |
| 306 | 2025-08-23 10:29:32 | toroidally | 4 | 161450 | 142 | 29.613 | 5452.0 |
| 305 | 2025-08-22 16:31:47 | toroidally | 3 | 140603 | 23 | 15.376 | 9144.3 |
| 304 | 2025-08-22 08:04:50 | toroidally | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 303 | 2025-08-19 09:19:56 | toroidally | 1 | 67641 | 1 | 4.033 | 16771.9 |
| 302 | 2025-08-19 02:09:11 | toroidally | 3 | 140603 | 23 | 26.140 | 5378.8 |
| 301 | 2025-08-18 07:38:04 | toroidally | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 300 | 2025-08-16 23:45:26 | toroidally | 3 | 140603 | 23 | 20.890 | 6730.6 |
| 299 | 2025-08-16 19:37:44 | toroidally | 1 | 67641 | 1 | 5.046 | 13404.9 |
| 298 | 2025-08-16 08:07:33 | toroidally | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 297 | 2025-07-26 23:13:28 | toroidally | 1 | 67641 | 1 | 2.326 | 29080.4 |
| 296 | 2025-07-23 02:36:30 | toroidally | 1 | 67641 | 1 | 2.673 | 25305.3 |
| 295 | 2025-07-17 11:45:23 | toroidally | 1 | 67641 | 1 | 4.640 | 14577.8 |
| 294 | 2025-07-05 07:59:24 | toroidally | 1 | 67641 | 1 | 3.140 | 21541.7 |
| 293 | 2025-06-30 14:47:59 | toroidally | 3 | 140603 | 23 | 39.113 | 3594.8 |
| 292 | 2025-06-29 22:06:49 | toroidally | 3 | 140603 | 23 | 25.610 | 5490.2 |
| 291 | 2025-06-28 06:54:59 | toroidally | 3 | 140603 | 23 | 31.423 | 4474.5 |
| 290 | 2025-06-22 09:04:41 | toroidally | 1 | 67641 | 1 | 8.216 | 8232.8 |
| 289 | 2025-06-21 22:41:33 | toroidally | 2 | 108824 | 2 | 9.826 | 11075.1 |
| 288 | 2025-06-21 00:51:54 | toroidally | 3 | 140603 | 23 | 6.406 | 21948.6 |
| 287 | 2025-06-18 05:55:23 | toroidally | 3 | 140603 | 23 | 24.893 | 5648.3 |
| 286 | 2025-06-16 15:18:48 | toroidally | 3 | 140603 | 23 | 31.813 | 4419.7 |
| 285 | 2025-06-16 11:35:05 | toroidally | 4 | 161450 | 142 | 69.910 | 2309.4 |
| 284 | 2025-06-16 08:38:37 | toroidally | 4 | 161450 | 142 | 70.613 | 2286.4 |
| 283 | 2025-06-15 21:47:06 | toroidally | 1 | 67641 | 1 | 5.970 | 11330.2 |
| 282 | 2025-06-15 19:34:49 | toroidally | 1 | 67641 | 1 | 5.466 | 12374.9 |
| 281 | 2025-06-14 08:40:45 | toroidally | 4 | 161450 | 142 | 48.126 | 3354.7 |
| 280 | 2025-06-14 06:30:06 | toroidally | 3 | 140603 | 23 | 19.720 | 7130.0 |
| 279 | 2025-06-13 13:14:56 | toroidally | 1 | 67641 | 1 | 1.160 | 58311.2 |
| 278 | 2025-06-06 09:47:17 | toroidally | 1 | 67641 | 1 | 8.203 | 8245.9 |
| 277 | 2025-05-29 12:54:14 | toroidally | 1 | 67641 | 1 | 6.250 | 10822.6 |
| 276 | 2025-05-20 08:18:09 | toroidally | 1 | 67641 | 1 | 6.280 | 10770.9 |
| 275 | 2025-05-02 13:09:43 | toroidally | 1 | 67641 | 1 | 5.750 | 11763.7 |
| 274 | 2025-04-30 09:33:24 | toroidally | 1 | 67641 | 1 | 4.670 | 14484.2 |
| 273 | 2025-04-23 21:04:26 | toroidally | 1 | 67641 | 1 | 6.030 | 11217.4 |