History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"uniformest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 329 | 2025-11-04 02:35:25 | uniformest | 5 | 173545 | 492 | 19.046 | 9111.9 |
| 328 | 2025-10-26 00:21:50 | uniformest | 5 | 173545 | 492 | 15.220 | 11402.4 |
| 327 | 2025-10-22 17:01:02 | uniformest | 5 | 173545 | 492 | 61.816 | 2807.4 |
| 326 | 2025-10-15 05:16:36 | uniformest | 2 | 108824 | 5 | 2.623 | 41488.4 |
| 325 | 2025-10-14 22:59:21 | uniformest | 3 | 140603 | 13 | 5.906 | 23806.8 |
| 324 | 2025-10-11 15:34:43 | uniformest | 4 | 161450 | 64 | 11.516 | 14019.6 |
| 323 | 2025-10-10 06:26:27 | uniformest | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 322 | 2025-10-06 15:49:05 | uniformest | 3 | 140603 | 13 | 5.656 | 24859.1 |
| 321 | 2025-10-06 03:45:41 | uniformest | 2 | 108824 | 5 | 3.376 | 32234.6 |
| 320 | 2025-10-04 12:29:28 | uniformest | 5 | 173545 | 492 | 16.440 | 10556.3 |
| 319 | 2025-09-29 21:30:32 | uniformest | 5 | 173545 | 492 | 16.266 | 10669.2 |
| 318 | 2025-09-28 14:17:07 | uniformest | 5 | 173545 | 492 | 17.610 | 9854.9 |
| 317 | 2025-09-28 10:42:08 | uniformest | 5 | 173545 | 492 | 25.453 | 6818.3 |
| 316 | 2025-09-28 00:36:21 | uniformest | 5 | 173545 | 492 | 17.000 | 10208.5 |
| 315 | 2025-09-09 15:52:14 | uniformest | 3 | 140603 | 13 | 6.266 | 22439.0 |
| 314 | 2025-09-09 04:36:53 | uniformest | 5 | 173545 | 492 | 18.766 | 9247.8 |
| 313 | 2025-09-07 18:10:38 | uniformest | 4 | 161450 | 64 | 10.110 | 15969.3 |
| 312 | 2025-09-06 13:41:23 | uniformest | 5 | 173545 | 492 | 15.816 | 10972.7 |
| 311 | 2025-09-05 17:23:07 | uniformest | 2 | 108824 | 5 | 3.046 | 35726.9 |
| 310 | 2025-09-05 15:00:57 | uniformest | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 309 | 2025-09-05 03:41:16 | uniformest | 2 | 108824 | 5 | 2.750 | 39572.4 |
| 308 | 2025-09-05 00:14:13 | uniformest | 3 | 140603 | 13 | 5.640 | 24929.6 |
| 307 | 2025-08-26 22:30:05 | uniformest | 1 | 67641 | 1 | 2.326 | 29080.4 |
| 306 | 2025-08-16 05:31:11 | uniformest | 4 | 161450 | 64 | 10.530 | 15332.4 |
| 305 | 2025-08-12 21:56:02 | uniformest | 4 | 161450 | 64 | 62.000 | 2604.0 |
| 304 | 2025-08-12 21:55:40 | uniformest | 4 | 161450 | 64 | 53.030 | 3044.5 |
| 303 | 2025-08-11 09:03:19 | uniformest | 4 | 161450 | 64 | 29.220 | 5525.3 |
| 302 | 2025-08-10 01:19:39 | uniformest | 5 | 173545 | 492 | 44.360 | 3912.2 |
| 301 | 2025-08-10 00:14:42 | uniformest | 5 | 173545 | 492 | 66.566 | 2607.1 |
| 300 | 2025-08-09 02:49:31 | uniformest | 1 | 67641 | 1 | 2.783 | 24305.1 |
| 299 | 2025-08-08 12:21:22 | uniformest | 4 | 161450 | 64 | 11.076 | 14576.6 |
| 298 | 2025-08-08 11:26:25 | uniformest | 5 | 173545 | 492 | 15.703 | 11051.7 |
| 297 | 2025-08-08 05:44:17 | uniformest | 5 | 173545 | 492 | 15.156 | 11450.6 |
| 296 | 2025-08-06 23:54:04 | uniformest | 1 | 67641 | 1 | 3.110 | 21749.5 |
| 295 | 2025-08-06 22:21:17 | uniformest | 5 | 173545 | 492 | 64.173 | 2704.3 |
| 294 | 2025-08-06 20:04:18 | uniformest | 2 | 108824 | 5 | 19.360 | 5621.1 |
| 293 | 2025-08-06 18:24:20 | uniformest | 4 | 161450 | 64 | 28.613 | 5642.5 |
| 292 | 2025-08-06 18:23:22 | uniformest | 4 | 161450 | 64 | 44.580 | 3621.6 |
| 291 | 2025-08-04 17:37:06 | uniformest | 1 | 67641 | 1 | 2.466 | 27429.4 |
| 290 | 2025-07-28 23:25:46 | uniformest | 1 | 67641 | 1 | 5.016 | 13485.0 |
| 289 | 2025-07-25 07:03:44 | uniformest | 1 | 67641 | 1 | 2.233 | 30291.5 |
| 288 | 2025-07-24 02:24:19 | uniformest | 1 | 67641 | 1 | 4.190 | 16143.4 |
| 287 | 2025-07-23 18:53:37 | uniformest | 1 | 67641 | 1 | 3.640 | 18582.7 |
| 286 | 2025-07-20 16:19:20 | uniformest | 1 | 67641 | 1 | 2.063 | 32787.7 |
| 285 | 2025-07-17 20:07:47 | uniformest | 3 | 140603 | 13 | 25.690 | 5473.1 |
| 284 | 2025-07-14 11:32:33 | uniformest | 1 | 67641 | 1 | 7.123 | 9496.1 |
| 283 | 2025-07-10 18:23:18 | uniformest | 1 | 67641 | 1 | 6.283 | 10765.7 |
| 282 | 2025-07-08 18:13:51 | uniformest | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 281 | 2025-07-08 03:07:51 | uniformest | 3 | 140603 | 13 | 39.673 | 3544.0 |
| 280 | 2025-07-03 01:28:26 | uniformest | 1 | 67641 | 1 | 8.516 | 7942.8 |
| 279 | 2025-06-30 14:01:57 | uniformest | 3 | 140603 | 13 | 45.596 | 3083.7 |
| 278 | 2025-06-26 23:29:33 | uniformest | 4 | 161450 | 64 | 63.473 | 2543.6 |
| 277 | 2025-06-26 19:58:46 | uniformest | 3 | 140603 | 13 | 23.470 | 5990.8 |
| 276 | 2025-06-26 00:43:19 | uniformest | 1 | 67641 | 1 | 5.096 | 13273.4 |
| 275 | 2025-06-25 06:34:04 | uniformest | 1 | 67641 | 1 | 3.440 | 19663.1 |
| 274 | 2025-06-22 12:51:59 | uniformest | 4 | 161450 | 64 | 40.426 | 3993.7 |
| 273 | 2025-06-20 10:12:06 | uniformest | 4 | 161450 | 64 | 57.536 | 2806.1 |
| 272 | 2025-06-20 00:03:25 | uniformest | 1 | 67641 | 1 | 2.376 | 28468.4 |
| 271 | 2025-06-19 10:53:57 | uniformest | 3 | 140603 | 13 | 27.563 | 5101.2 |
| 270 | 2025-06-18 13:59:01 | uniformest | 3 | 140603 | 13 | 15.390 | 9136.0 |
| 269 | 2025-06-13 14:42:50 | uniformest | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 268 | 2025-06-08 17:48:38 | uniformest | 1 | 67641 | 1 | 6.190 | 10927.5 |
| 267 | 2025-05-31 16:58:11 | uniformest | 4 | 161450 | 64 | 47.313 | 3412.4 |
| 266 | 2025-05-30 19:54:22 | uniformest | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 265 | 2025-05-29 22:48:36 | uniformest | 1 | 67641 | 1 | 5.206 | 12992.9 |
| 264 | 2025-05-27 06:33:20 | uniformest | 5 | 173545 | 492 | 105.833 | 1639.8 |
| 263 | 2025-05-25 00:52:27 | uniformest | 1 | 67641 | 1 | 2.466 | 27429.4 |
| 262 | 2025-05-23 20:07:43 | uniformest | 4 | 161450 | 64 | 12.203 | 13230.4 |
| 261 | 2025-05-23 14:37:31 | uniformest | 2 | 108824 | 5 | 14.953 | 7277.7 |
| 260 | 2025-05-23 13:29:22 | uniformest | 3 | 140603 | 13 | 20.860 | 6740.3 |
| 259 | 2025-05-13 16:10:09 | uniformest | 3 | 140603 | 13 | 29.846 | 4710.9 |
| 258 | 2025-05-11 09:03:03 | uniformest | 3 | 140603 | 13 | 5.640 | 24929.6 |
| 257 | 2025-04-22 23:58:26 | uniformest | 1 | 67641 | 1 | 5.063 | 13359.9 |
| 256 | 2025-04-21 14:08:11 | uniformest | 1 | 67641 | 1 | 3.860 | 17523.6 |
| 255 | 2025-04-20 00:08:56 | uniformest | 1 | 67641 | 1 | 3.703 | 18266.5 |
| 254 | 2025-03-27 17:25:12 | uniformest | 3 | 140603 | 13 | 40.736 | 3451.6 |
| 253 | 2025-03-27 14:41:45 | uniformest | 4 | 161450 | 64 | 28.736 | 5618.4 |
| 252 | 2025-03-26 02:28:05 | uniformest | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 251 | 2025-03-25 11:57:38 | uniformest | 2 | 108824 | 5 | 14.860 | 7323.3 |
| 250 | 2025-03-25 04:26:27 | uniformest | 2 | 108824 | 5 | 16.120 | 6750.9 |
| 249 | 2025-03-22 11:14:23 | uniformest | 3 | 140603 | 13 | 6.296 | 22332.1 |
| 248 | 2025-03-17 12:15:58 | uniformest | 3 | 140603 | 13 | 31.723 | 4432.2 |
| 247 | 2025-03-15 22:57:00 | uniformest | 1 | 67641 | 1 | 6.343 | 10663.9 |
| 246 | 2025-03-09 12:09:40 | uniformest | 4 | 161450 | 64 | 54.160 | 2981.0 |
| 245 | 2025-03-09 12:09:38 | uniformest | 3 | 140603 | 13 | 30.703 | 4579.5 |
| 244 | 2025-03-08 14:50:25 | uniformest | 4 | 161450 | 64 | 52.096 | 3099.1 |
| 243 | 2025-03-08 10:03:44 | uniformest | 3 | 140603 | 13 | 28.343 | 4960.8 |
| 242 | 2025-03-06 22:50:16 | uniformest | 4 | 161450 | 64 | 57.520 | 2806.8 |
| 241 | 2025-03-06 22:50:03 | uniformest | 4 | 161450 | 64 | 64.673 | 2496.4 |
| 240 | 2025-03-06 22:50:15 | uniformest | 3 | 140603 | 13 | 37.393 | 3760.1 |
| 239 | 2025-03-06 22:50:12 | uniformest | 2 | 108824 | 5 | 7.313 | 14880.9 |
| 238 | 2025-03-06 22:00:59 | uniformest | 1 | 67641 | 1 | 4.940 | 13692.5 |
| 237 | 2025-02-27 05:12:04 | uniformest | 3 | 140603 | 13 | 6.623 | 21229.5 |
| 236 | 2025-02-21 13:29:36 | uniformest | 2 | 108824 | 5 | 10.046 | 10832.6 |
| 235 | 2025-02-21 09:39:23 | uniformest | 3 | 140603 | 13 | 30.873 | 4554.2 |
| 234 | 2025-02-21 09:39:02 | uniformest | 2 | 108824 | 5 | 14.190 | 7669.1 |
| 233 | 2025-02-21 09:35:35 | uniformest | 1 | 67641 | 1 | 5.340 | 12666.9 |
| 232 | 2025-02-21 01:37:48 | uniformest | 3 | 140603 | 13 | 31.706 | 4434.6 |
| 231 | 2025-02-21 01:37:45 | uniformest | 2 | 108824 | 5 | 12.330 | 8826.0 |
| 230 | 2025-02-21 01:32:39 | uniformest | 1 | 67641 | 1 | 5.420 | 12479.9 |