History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"factored"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 345 | 2025-10-23 15:42:00 | factored | 3 | 146162 | 140 | 40.313 | 3625.7 |
| 344 | 2025-10-23 15:41:38 | factored | 3 | 146162 | 140 | 55.970 | 2611.4 |
| 343 | 2025-10-18 17:43:19 | factored | 3 | 146162 | 140 | 7.360 | 19859.0 |
| 342 | 2025-10-17 16:37:54 | factored | 2 | 121059 | 17 | 3.716 | 32577.8 |
| 341 | 2025-10-13 07:01:35 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 340 | 2025-10-11 21:52:33 | factored | 2 | 121059 | 17 | 3.576 | 33853.2 |
| 339 | 2025-10-10 15:29:43 | factored | 3 | 146162 | 140 | 6.563 | 22270.6 |
| 338 | 2025-10-04 04:13:27 | factored | 3 | 146162 | 140 | 6.686 | 21860.9 |
| 337 | 2025-10-01 09:50:46 | factored | 3 | 146162 | 140 | 9.800 | 14914.5 |
| 336 | 2025-10-01 09:24:47 | factored | 1 | 82945 | 1 | 1.326 | 62552.8 |
| 335 | 2025-10-01 08:49:49 | factored | 1 | 82945 | 1 | 1.313 | 63172.1 |
| 334 | 2025-09-19 14:35:44 | factored | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 333 | 2025-09-09 13:33:37 | factored | 2 | 121059 | 17 | 4.030 | 30039.5 |
| 332 | 2025-08-23 14:49:59 | factored | 1 | 82945 | 1 | 10.640 | 7795.6 |
| 331 | 2025-08-13 20:46:25 | factored | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 330 | 2025-08-12 08:41:47 | factored | 1 | 82945 | 1 | 7.470 | 11103.7 |
| 329 | 2025-08-10 10:34:20 | factored | 1 | 82945 | 1 | 3.346 | 24789.3 |
| 328 | 2025-08-01 18:19:31 | factored | 1 | 82945 | 1 | 7.576 | 10948.4 |
| 327 | 2025-07-31 20:49:41 | factored | 3 | 146162 | 140 | 25.916 | 5639.8 |
| 326 | 2025-07-29 21:01:39 | factored | 3 | 146162 | 140 | 31.643 | 4619.1 |
| 325 | 2025-07-29 09:17:21 | factored | 3 | 146162 | 140 | 28.720 | 5089.2 |
| 324 | 2025-07-29 07:03:42 | factored | 1 | 82945 | 1 | 6.686 | 12405.8 |
| 323 | 2025-07-29 01:24:21 | factored | 3 | 146162 | 140 | 31.376 | 4658.4 |
| 322 | 2025-07-28 15:43:49 | factored | 3 | 146162 | 140 | 16.190 | 9027.9 |
| 321 | 2025-07-27 03:17:51 | factored | 1 | 82945 | 1 | 3.516 | 23590.7 |
| 320 | 2025-07-27 00:05:53 | factored | 1 | 82945 | 1 | 4.076 | 20349.6 |
| 319 | 2025-07-26 08:32:54 | factored | 3 | 146162 | 140 | 7.186 | 20339.8 |
| 318 | 2025-07-25 15:04:26 | factored | 3 | 146162 | 140 | 28.516 | 5125.6 |
| 317 | 2025-07-22 09:33:33 | factored | 3 | 146162 | 140 | 11.580 | 12621.9 |
| 316 | 2025-07-20 19:44:51 | factored | 3 | 146162 | 140 | 8.906 | 16411.6 |
| 315 | 2025-07-19 20:19:49 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 314 | 2025-07-10 02:06:01 | factored | 1 | 82945 | 1 | 6.640 | 12491.7 |
| 313 | 2025-06-25 22:49:55 | factored | 2 | 121059 | 17 | 11.906 | 10167.9 |
| 312 | 2025-06-25 22:09:27 | factored | 3 | 146162 | 140 | 35.986 | 4061.6 |
| 311 | 2025-06-25 08:35:05 | factored | 1 | 82945 | 1 | 3.110 | 26670.4 |
| 310 | 2025-06-25 06:35:02 | factored | 3 | 146162 | 140 | 38.796 | 3767.5 |
| 309 | 2025-06-24 21:35:48 | factored | 3 | 146162 | 140 | 7.546 | 19369.5 |
| 308 | 2025-06-23 14:05:51 | factored | 3 | 146162 | 140 | 7.076 | 20656.0 |
| 307 | 2025-06-22 11:51:16 | factored | 1 | 82945 | 1 | 9.126 | 9088.9 |
| 306 | 2025-06-21 22:00:05 | factored | 1 | 82945 | 1 | 6.953 | 11929.4 |
| 305 | 2025-06-20 05:25:48 | factored | 1 | 82945 | 1 | 4.440 | 18681.3 |
| 304 | 2025-06-19 21:26:34 | factored | 1 | 82945 | 1 | 3.970 | 20892.9 |
| 303 | 2025-06-18 08:59:22 | factored | 1 | 82945 | 1 | 7.953 | 10429.4 |
| 302 | 2025-06-10 13:12:21 | factored | 3 | 146162 | 140 | 47.140 | 3100.6 |
| 301 | 2025-06-09 23:45:12 | factored | 1 | 82945 | 1 | 7.470 | 11103.7 |
| 300 | 2025-06-06 14:45:52 | factored | 1 | 82945 | 1 | 5.250 | 15799.0 |
| 299 | 2025-06-03 19:18:16 | factored | 3 | 146162 | 140 | 19.580 | 7464.9 |
| 298 | 2025-05-27 05:46:35 | factored | 1 | 82945 | 1 | 5.736 | 14460.4 |
| 297 | 2025-05-23 23:57:53 | factored | 1 | 82945 | 1 | 6.940 | 11951.7 |
| 296 | 2025-05-20 17:31:56 | factored | 1 | 82945 | 1 | 9.953 | 8333.7 |
| 295 | 2025-05-20 04:08:00 | factored | 2 | 121059 | 17 | 9.923 | 12199.8 |
| 294 | 2025-05-19 22:53:06 | factored | 2 | 121059 | 17 | 11.406 | 10613.6 |
| 293 | 2025-05-19 08:24:31 | factored | 1 | 82945 | 1 | 5.080 | 16327.8 |
| 292 | 2025-05-17 08:07:48 | factored | 1 | 82945 | 1 | 6.280 | 13207.8 |
| 291 | 2025-05-05 23:33:59 | factored | 2 | 121059 | 17 | 29.050 | 4167.3 |
| 290 | 2025-05-05 14:31:11 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 289 | 2025-05-02 23:18:13 | factored | 3 | 146162 | 140 | 60.613 | 2411.4 |
| 288 | 2025-04-27 14:14:49 | factored | 3 | 146162 | 140 | 7.156 | 20425.1 |
| 287 | 2025-04-22 22:19:47 | factored | 1 | 82945 | 1 | 7.593 | 10923.9 |
| 286 | 2025-04-19 05:30:22 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 285 | 2025-04-18 16:09:50 | factored | 1 | 82945 | 1 | 2.860 | 29001.7 |
| 284 | 2025-04-18 08:00:32 | factored | 1 | 82945 | 1 | 6.690 | 12398.4 |
| 283 | 2025-04-14 21:41:33 | factored | 3 | 146162 | 140 | 22.486 | 6500.1 |
| 282 | 2025-04-13 21:58:34 | factored | 3 | 146162 | 140 | 30.986 | 4717.0 |
| 281 | 2025-04-11 15:16:41 | factored | 3 | 146162 | 140 | 35.143 | 4159.1 |
| 280 | 2025-04-07 23:50:23 | factored | 1 | 82945 | 1 | 6.766 | 12259.1 |
| 279 | 2025-04-06 22:51:07 | factored | 3 | 146162 | 140 | 33.253 | 4395.5 |
| 278 | 2025-04-03 06:20:55 | factored | 3 | 146162 | 140 | 7.250 | 20160.3 |
| 277 | 2025-03-31 17:12:20 | factored | 1 | 82945 | 1 | 12.610 | 6577.7 |
| 276 | 2025-03-26 11:44:39 | factored | 2 | 121059 | 17 | 9.483 | 12765.9 |
| 275 | 2025-03-26 11:14:40 | factored | 3 | 146162 | 140 | 48.596 | 3007.7 |
| 274 | 2025-03-20 22:25:04 | factored | 1 | 82945 | 1 | 6.766 | 12259.1 |
| 273 | 2025-03-12 20:14:20 | factored | 1 | 82945 | 1 | 5.906 | 14044.2 |
| 272 | 2025-03-10 17:08:14 | factored | 3 | 146162 | 140 | 22.986 | 6358.7 |
| 271 | 2025-03-10 11:55:31 | factored | 3 | 146162 | 140 | 34.846 | 4194.5 |
| 270 | 2025-03-10 11:01:28 | factored | 1 | 82945 | 1 | 6.110 | 13575.3 |
| 269 | 2025-02-24 11:12:20 | factored | 1 | 82945 | 1 | 5.890 | 14082.3 |
| 268 | 2025-02-09 16:52:48 | factored | 1 | 82945 | 1 | 7.296 | 11368.6 |
| 267 | 2025-01-31 07:03:22 | factored | 1 | 82945 | 1 | 3.110 | 26670.4 |
| 266 | 2025-01-05 09:28:34 | factored | 1 | 82945 | 1 | 7.110 | 11666.0 |
| 265 | 2025-01-05 09:01:14 | factored | 2 | 121059 | 17 | 15.660 | 7730.5 |
| 264 | 2025-01-03 14:33:56 | factored | 2 | 121059 | 17 | 3.890 | 31120.6 |
| 263 | 2025-01-01 19:08:49 | factored | 1 | 82945 | 1 | 3.593 | 23085.2 |
| 262 | 2024-12-30 18:32:39 | factored | 2 | 121059 | 17 | 20.423 | 5927.6 |
| 261 | 2024-12-29 11:30:53 | factored | 3 | 146162 | 140 | 43.330 | 3373.2 |
| 260 | 2024-12-28 10:47:59 | factored | 3 | 146162 | 140 | 37.953 | 3851.1 |
| 259 | 2024-12-28 10:46:23 | factored | 3 | 146162 | 140 | 28.586 | 5113.1 |
| 258 | 2024-12-28 09:41:19 | factored | 2 | 121059 | 17 | 14.483 | 8358.7 |
| 257 | 2024-12-28 09:40:53 | factored | 3 | 146162 | 140 | 10.623 | 13759.0 |
| 256 | 2024-12-28 09:40:49 | factored | 1 | 82945 | 1 | 2.876 | 28840.4 |
| 255 | 2024-12-17 10:12:13 | factored | 1 | 82945 | 1 | 7.250 | 11440.7 |
| 254 | 2024-11-30 22:33:05 | factored | 1 | 82945 | 1 | 5.093 | 16286.1 |
| 253 | 2024-11-27 16:58:06 | factored | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 252 | 2024-11-11 16:31:05 | factored | 2 | 121059 | 17 | 12.843 | 9426.1 |
| 251 | 2024-11-11 05:43:04 | factored | 1 | 82945 | 1 | 1.266 | 65517.4 |
| 250 | 2024-11-05 22:15:30 | factored | 3 | 146162 | 140 | 37.610 | 3886.3 |
| 249 | 2024-11-05 22:15:31 | factored | 2 | 121059 | 17 | 17.156 | 7056.4 |
| 248 | 2024-11-03 23:13:42 | factored | 2 | 121059 | 17 | 4.626 | 26169.3 |
| 247 | 2024-10-31 07:56:01 | factored | 3 | 146162 | 140 | 33.016 | 4427.0 |
| 246 | 2024-10-31 06:09:07 | factored | 3 | 146162 | 140 | 11.546 | 12659.1 |