History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trisectors"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 343 | 2025-10-26 15:54:06 | trisectors | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 342 | 2025-09-12 02:04:09 | trisectors | 2 | 108824 | 6 | 3.156 | 34481.6 |
| 341 | 2025-09-11 17:07:35 | trisectors | 3 | 140603 | 33 | 6.390 | 22003.6 |
| 340 | 2025-09-02 10:47:32 | trisectors | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 339 | 2025-09-01 22:26:02 | trisectors | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 338 | 2025-08-27 00:54:57 | trisectors | 1 | 67641 | 2 | 1.716 | 39417.8 |
| 337 | 2025-08-09 21:18:11 | trisectors | 3 | 140603 | 33 | 16.110 | 8727.7 |
| 336 | 2025-08-09 02:43:07 | trisectors | 1 | 67641 | 2 | 6.766 | 9997.2 |
| 335 | 2025-08-05 14:31:25 | trisectors | 3 | 140603 | 33 | 21.640 | 6497.4 |
| 334 | 2025-08-04 14:40:10 | trisectors | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 333 | 2025-08-02 08:38:07 | trisectors | 1 | 67641 | 2 | 2.670 | 25333.7 |
| 332 | 2025-07-30 11:38:33 | trisectors | 1 | 67641 | 2 | 2.750 | 24596.7 |
| 331 | 2025-07-22 04:19:06 | trisectors | 4 | 161450 | 176 | 15.643 | 10320.9 |
| 330 | 2025-07-18 17:20:45 | trisectors | 4 | 161450 | 176 | 52.783 | 3058.7 |
| 329 | 2025-07-15 08:38:50 | trisectors | 1 | 67641 | 2 | 2.763 | 24481.0 |
| 328 | 2025-07-14 19:06:02 | trisectors | 4 | 161450 | 176 | 83.973 | 1922.6 |
| 327 | 2025-07-14 14:04:12 | trisectors | 1 | 67641 | 2 | 3.093 | 21869.1 |
| 326 | 2025-07-10 21:43:57 | trisectors | 4 | 161450 | 176 | 56.270 | 2869.2 |
| 325 | 2025-07-10 20:42:02 | trisectors | 2 | 108824 | 6 | 12.280 | 8861.9 |
| 324 | 2025-07-10 17:00:17 | trisectors | 3 | 140603 | 33 | 27.516 | 5109.9 |
| 323 | 2025-07-10 14:09:12 | trisectors | 2 | 108824 | 6 | 15.470 | 7034.5 |
| 322 | 2025-07-10 09:42:22 | trisectors | 3 | 140603 | 33 | 6.656 | 21124.2 |
| 321 | 2025-07-10 05:42:40 | trisectors | 3 | 140603 | 33 | 25.236 | 5571.5 |
| 320 | 2025-07-09 02:02:55 | trisectors | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 319 | 2025-07-03 11:37:30 | trisectors | 4 | 161450 | 176 | 11.970 | 13487.9 |
| 318 | 2025-06-30 16:58:37 | trisectors | 3 | 140603 | 33 | 22.643 | 6209.6 |
| 317 | 2025-06-30 13:32:31 | trisectors | 1 | 67641 | 2 | 2.486 | 27208.8 |
| 316 | 2025-06-29 21:32:36 | trisectors | 2 | 108824 | 6 | 19.186 | 5672.1 |
| 315 | 2025-06-29 14:11:34 | trisectors | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 314 | 2025-06-14 12:24:19 | trisectors | 4 | 161450 | 176 | 59.893 | 2695.6 |
| 313 | 2025-06-14 12:18:18 | trisectors | 1 | 67641 | 2 | 8.156 | 8293.4 |
| 312 | 2025-06-12 15:51:49 | trisectors | 4 | 161450 | 176 | 77.626 | 2079.8 |
| 311 | 2025-06-04 05:11:55 | trisectors | 4 | 161450 | 176 | 56.583 | 2853.3 |
| 310 | 2025-06-03 11:23:18 | trisectors | 3 | 140603 | 33 | 25.610 | 5490.2 |
| 309 | 2025-05-29 14:10:35 | trisectors | 1 | 67641 | 2 | 3.970 | 17038.0 |
| 308 | 2025-05-29 01:02:06 | trisectors | 1 | 67641 | 2 | 2.453 | 27574.8 |
| 307 | 2025-05-24 10:49:18 | trisectors | 3 | 140603 | 33 | 29.923 | 4698.8 |
| 306 | 2025-05-23 05:07:51 | trisectors | 3 | 140603 | 33 | 31.530 | 4459.3 |
| 305 | 2025-05-22 20:18:16 | trisectors | 4 | 161450 | 176 | 73.080 | 2209.2 |
| 304 | 2025-05-22 11:02:28 | trisectors | 4 | 161450 | 176 | 53.300 | 3029.1 |
| 303 | 2025-05-16 03:40:15 | trisectors | 1 | 67641 | 2 | 5.346 | 12652.6 |
| 302 | 2025-05-14 19:49:53 | trisectors | 3 | 140603 | 33 | 14.753 | 9530.5 |
| 301 | 2025-05-14 19:41:23 | trisectors | 4 | 161450 | 176 | 11.656 | 13851.2 |
| 300 | 2025-05-14 11:51:16 | trisectors | 1 | 67641 | 2 | 8.153 | 8296.5 |
| 299 | 2025-05-12 12:42:55 | trisectors | 4 | 161450 | 176 | 43.206 | 3736.7 |
| 298 | 2025-05-12 08:30:11 | trisectors | 2 | 108824 | 6 | 8.606 | 12645.1 |
| 297 | 2025-05-12 03:49:51 | trisectors | 3 | 140603 | 33 | 20.483 | 6864.4 |
| 296 | 2025-05-11 12:11:30 | trisectors | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 295 | 2025-04-26 01:52:26 | trisectors | 1 | 67641 | 2 | 3.890 | 17388.4 |
| 294 | 2025-04-06 18:08:56 | trisectors | 1 | 67641 | 2 | 8.376 | 8075.6 |
| 293 | 2025-04-05 19:30:37 | trisectors | 3 | 140603 | 33 | 25.280 | 5561.8 |
| 292 | 2025-04-04 11:16:44 | trisectors | 1 | 67641 | 2 | 4.093 | 16526.0 |
| 291 | 2025-04-04 05:45:26 | trisectors | 3 | 140603 | 33 | 29.110 | 4830.1 |
| 290 | 2025-04-02 11:38:13 | trisectors | 1 | 67641 | 2 | 2.483 | 27241.6 |
| 289 | 2025-03-31 02:57:59 | trisectors | 1 | 67641 | 2 | 5.766 | 11731.0 |
| 288 | 2025-03-26 04:22:57 | trisectors | 3 | 140603 | 33 | 50.016 | 2811.2 |
| 287 | 2025-03-24 16:49:04 | trisectors | 3 | 140603 | 33 | 8.766 | 16039.6 |
| 286 | 2025-03-24 12:43:06 | trisectors | 3 | 140603 | 33 | 44.173 | 3183.0 |
| 285 | 2025-03-24 09:11:53 | trisectors | 2 | 108824 | 6 | 7.690 | 14151.4 |
| 284 | 2025-03-24 05:46:01 | trisectors | 3 | 140603 | 33 | 31.656 | 4441.6 |
| 283 | 2025-03-22 02:42:23 | trisectors | 1 | 67641 | 2 | 3.140 | 21541.7 |
| 282 | 2025-03-16 15:29:17 | trisectors | 1 | 67641 | 2 | 5.796 | 11670.3 |
| 281 | 2025-03-13 11:34:20 | trisectors | 3 | 140603 | 33 | 30.343 | 4633.8 |
| 280 | 2025-03-07 14:31:43 | trisectors | 3 | 140603 | 33 | 32.190 | 4367.9 |
| 279 | 2025-03-02 19:40:58 | trisectors | 3 | 140603 | 33 | 37.156 | 3784.1 |
| 278 | 2025-03-02 13:36:23 | trisectors | 3 | 140603 | 33 | 42.080 | 3341.3 |
| 277 | 2025-03-02 05:55:01 | trisectors | 4 | 161450 | 176 | 70.696 | 2283.7 |
| 276 | 2025-03-02 05:54:59 | trisectors | 3 | 140603 | 33 | 44.413 | 3165.8 |
| 275 | 2025-03-02 05:54:52 | trisectors | 2 | 108824 | 6 | 17.593 | 6185.6 |
| 274 | 2025-03-02 05:41:49 | trisectors | 1 | 67641 | 2 | 8.000 | 8455.1 |
| 273 | 2025-02-13 12:15:19 | trisectors | 1 | 67641 | 2 | 5.736 | 11792.4 |
| 272 | 2025-01-25 18:33:46 | trisectors | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 271 | 2025-01-17 17:37:57 | trisectors | 3 | 140603 | 33 | 23.966 | 5866.8 |
| 270 | 2025-01-05 08:58:56 | trisectors | 1 | 67641 | 2 | 4.530 | 14931.8 |
| 269 | 2024-12-30 02:14:59 | trisectors | 3 | 140603 | 33 | 34.020 | 4133.0 |
| 268 | 2024-12-26 15:56:43 | trisectors | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 267 | 2024-12-25 22:25:45 | trisectors | 3 | 140603 | 33 | 33.660 | 4177.2 |
| 266 | 2024-12-25 22:25:33 | trisectors | 3 | 140603 | 33 | 30.063 | 4676.9 |
| 265 | 2024-12-25 22:25:38 | trisectors | 2 | 108824 | 6 | 15.406 | 7063.7 |
| 264 | 2024-12-25 22:25:15 | trisectors | 1 | 67641 | 2 | 2.953 | 22905.9 |
| 263 | 2024-12-06 00:40:56 | trisectors | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 262 | 2024-11-24 08:02:12 | trisectors | 1 | 67641 | 2 | 8.436 | 8018.1 |
| 261 | 2024-11-20 12:46:17 | trisectors | 2 | 108824 | 6 | 12.470 | 8726.9 |
| 260 | 2024-11-17 16:07:40 | trisectors | 3 | 140603 | 33 | 37.800 | 3719.7 |
| 259 | 2024-11-17 16:07:58 | trisectors | 2 | 108824 | 6 | 16.236 | 6702.6 |
| 258 | 2024-11-17 16:01:29 | trisectors | 1 | 67641 | 2 | 4.410 | 15338.1 |
| 257 | 2024-11-15 16:08:36 | trisectors | 3 | 140603 | 33 | 31.783 | 4423.8 |
| 256 | 2024-11-13 23:13:12 | trisectors | 3 | 140603 | 33 | 30.046 | 4679.6 |
| 255 | 2024-10-31 19:15:34 | trisectors | 1 | 67641 | 2 | 5.110 | 13237.0 |
| 254 | 2024-10-30 15:57:02 | trisectors | 1 | 67641 | 2 | 2.076 | 32582.4 |
| 253 | 2024-10-28 11:02:20 | trisectors | 3 | 140603 | 33 | 31.516 | 4461.3 |
| 252 | 2024-10-26 21:41:40 | trisectors | 3 | 140603 | 33 | 31.893 | 4408.6 |
| 251 | 2024-10-24 22:47:52 | trisectors | 3 | 140603 | 33 | 22.220 | 6327.8 |
| 250 | 2024-10-24 22:46:18 | trisectors | 1 | 67641 | 2 | 8.220 | 8228.8 |
| 249 | 2024-10-08 00:37:12 | trisectors | 3 | 140603 | 33 | 64.213 | 2189.6 |
| 248 | 2024-10-01 02:16:24 | trisectors | 2 | 108824 | 6 | 24.406 | 4458.9 |
| 247 | 2024-09-23 02:43:31 | trisectors | 2 | 108824 | 6 | 23.173 | 4696.2 |
| 246 | 2024-09-23 02:43:28 | trisectors | 2 | 108824 | 6 | 20.363 | 5344.2 |
| 245 | 2024-09-23 02:43:25 | trisectors | 2 | 108824 | 6 | 21.016 | 5178.1 |
| 244 | 2024-09-23 02:39:29 | trisectors | 1 | 67641 | 2 | 8.470 | 7986.0 |