History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"phenotypes"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 373 | 2025-08-31 17:44:38 | phenotypes | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 372 | 2025-08-28 22:43:10 | phenotypes | 2 | 108824 | 9 | 3.046 | 35726.9 |
| 371 | 2025-08-23 13:29:22 | phenotypes | 4 | 161450 | 134 | 64.910 | 2487.3 |
| 370 | 2025-08-21 21:15:50 | phenotypes | 4 | 161450 | 134 | 49.876 | 3237.0 |
| 369 | 2025-08-20 22:41:14 | phenotypes | 4 | 161450 | 134 | 29.720 | 5432.4 |
| 368 | 2025-08-15 19:55:23 | phenotypes | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 367 | 2025-08-11 19:54:53 | phenotypes | 4 | 161450 | 134 | 28.533 | 5658.4 |
| 366 | 2025-08-01 11:59:17 | phenotypes | 1 | 67641 | 3 | 4.096 | 16513.9 |
| 365 | 2025-07-23 06:53:38 | phenotypes | 1 | 67641 | 3 | 7.090 | 9540.3 |
| 364 | 2025-07-22 13:18:19 | phenotypes | 1 | 67641 | 3 | 5.736 | 11792.4 |
| 363 | 2025-07-22 01:01:01 | phenotypes | 4 | 161450 | 134 | 60.176 | 2683.0 |
| 362 | 2025-07-18 16:29:41 | phenotypes | 4 | 161450 | 134 | 49.180 | 3282.8 |
| 361 | 2025-07-16 14:53:21 | phenotypes | 4 | 161450 | 134 | 81.786 | 1974.1 |
| 360 | 2025-07-16 03:52:22 | phenotypes | 3 | 140603 | 31 | 20.096 | 6996.6 |
| 359 | 2025-07-15 23:41:19 | phenotypes | 2 | 108824 | 9 | 15.033 | 7239.0 |
| 358 | 2025-07-15 13:32:06 | phenotypes | 1 | 67641 | 3 | 2.923 | 23141.0 |
| 357 | 2025-07-13 01:15:59 | phenotypes | 2 | 108824 | 9 | 8.970 | 12132.0 |
| 356 | 2025-07-12 19:10:31 | phenotypes | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 355 | 2025-07-12 02:55:32 | phenotypes | 3 | 140603 | 31 | 6.706 | 20966.7 |
| 354 | 2025-07-09 21:40:26 | phenotypes | 1 | 67641 | 3 | 2.906 | 23276.3 |
| 353 | 2025-07-09 20:20:20 | phenotypes | 3 | 140603 | 31 | 43.363 | 3242.5 |
| 352 | 2025-07-08 20:33:25 | phenotypes | 3 | 140603 | 31 | 6.670 | 21079.9 |
| 351 | 2025-07-06 21:16:24 | phenotypes | 4 | 161450 | 134 | 10.623 | 15198.2 |
| 350 | 2025-07-02 11:03:30 | phenotypes | 1 | 67641 | 3 | 5.593 | 12093.9 |
| 349 | 2025-06-30 12:27:36 | phenotypes | 3 | 140603 | 31 | 24.610 | 5713.2 |
| 348 | 2025-06-30 11:16:07 | phenotypes | 1 | 67641 | 3 | 2.626 | 25758.2 |
| 347 | 2025-06-27 18:52:21 | phenotypes | 3 | 140603 | 31 | 5.500 | 25564.2 |
| 346 | 2025-06-18 11:03:37 | phenotypes | 1 | 67641 | 3 | 2.856 | 23683.8 |
| 345 | 2025-06-16 18:15:11 | phenotypes | 1 | 67641 | 3 | 4.000 | 16910.3 |
| 344 | 2025-06-14 21:35:11 | phenotypes | 3 | 140603 | 31 | 43.016 | 3268.6 |
| 343 | 2025-06-14 19:09:45 | phenotypes | 2 | 108824 | 9 | 7.716 | 14103.7 |
| 342 | 2025-06-14 18:40:15 | phenotypes | 3 | 140603 | 31 | 47.483 | 2961.1 |
| 341 | 2025-06-12 13:44:12 | phenotypes | 4 | 161450 | 134 | 43.936 | 3674.7 |
| 340 | 2025-06-12 02:54:27 | phenotypes | 3 | 140603 | 31 | 27.686 | 5078.5 |
| 339 | 2025-06-11 22:50:32 | phenotypes | 2 | 108824 | 9 | 21.550 | 5049.8 |
| 338 | 2025-06-11 13:20:17 | phenotypes | 1 | 67641 | 3 | 2.906 | 23276.3 |
| 337 | 2025-05-31 02:29:35 | phenotypes | 1 | 67641 | 3 | 4.280 | 15804.0 |
| 336 | 2025-05-30 15:09:32 | phenotypes | 1 | 67641 | 3 | 5.516 | 12262.7 |
| 335 | 2025-05-28 17:13:43 | phenotypes | 3 | 140603 | 31 | 5.843 | 24063.5 |
| 334 | 2025-05-27 21:02:34 | phenotypes | 3 | 140603 | 31 | 6.516 | 21578.1 |
| 333 | 2025-05-27 05:14:13 | phenotypes | 2 | 108824 | 9 | 14.233 | 7645.9 |
| 332 | 2025-05-27 02:14:43 | phenotypes | 3 | 140603 | 31 | 36.453 | 3857.1 |
| 331 | 2025-05-25 11:58:48 | phenotypes | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 330 | 2025-05-14 22:18:01 | phenotypes | 2 | 108824 | 9 | 2.906 | 37448.0 |
| 329 | 2025-05-11 21:53:29 | phenotypes | 1 | 67641 | 3 | 3.356 | 20155.2 |
| 328 | 2025-04-18 21:00:04 | phenotypes | 2 | 108824 | 9 | 16.716 | 6510.2 |
| 327 | 2025-04-18 07:55:50 | phenotypes | 1 | 67641 | 3 | 3.530 | 19161.8 |
| 326 | 2025-04-17 01:38:20 | phenotypes | 3 | 140603 | 31 | 13.410 | 10484.9 |
| 325 | 2025-04-15 00:37:15 | phenotypes | 2 | 108824 | 9 | 14.143 | 7694.5 |
| 324 | 2025-04-14 20:15:19 | phenotypes | 3 | 140603 | 31 | 30.156 | 4662.5 |
| 323 | 2025-04-13 20:27:37 | phenotypes | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 322 | 2025-04-04 22:24:09 | phenotypes | 4 | 161450 | 134 | 50.926 | 3170.3 |
| 321 | 2025-04-04 03:12:07 | phenotypes | 4 | 161450 | 134 | 65.193 | 2476.5 |
| 320 | 2025-04-03 13:28:22 | phenotypes | 4 | 161450 | 134 | 49.953 | 3232.0 |
| 319 | 2025-04-02 04:15:17 | phenotypes | 4 | 161450 | 134 | 43.533 | 3708.7 |
| 318 | 2025-04-01 06:29:53 | phenotypes | 4 | 161450 | 134 | 11.233 | 14372.8 |
| 317 | 2025-03-31 23:58:05 | phenotypes | 2 | 108824 | 9 | 14.566 | 7471.1 |
| 316 | 2025-03-29 12:50:31 | phenotypes | 1 | 67641 | 3 | 7.986 | 8469.9 |
| 315 | 2025-03-27 20:36:56 | phenotypes | 2 | 108824 | 9 | 3.266 | 33320.3 |
| 314 | 2025-03-26 14:52:03 | phenotypes | 3 | 140603 | 31 | 6.453 | 21788.8 |
| 313 | 2025-03-26 12:48:18 | phenotypes | 1 | 67641 | 3 | 5.470 | 12365.8 |
| 312 | 2025-03-17 02:18:44 | phenotypes | 1 | 67641 | 3 | 8.206 | 8242.9 |
| 311 | 2025-03-16 19:12:11 | phenotypes | 3 | 140603 | 31 | 28.530 | 4928.3 |
| 310 | 2025-03-16 07:48:42 | phenotypes | 3 | 140603 | 31 | 33.816 | 4157.9 |
| 309 | 2025-03-07 07:25:20 | phenotypes | 3 | 140603 | 31 | 31.110 | 4519.5 |
| 308 | 2025-03-06 05:12:07 | phenotypes | 3 | 140603 | 31 | 30.830 | 4560.6 |
| 307 | 2025-03-06 05:08:52 | phenotypes | 1 | 67641 | 3 | 5.530 | 12231.6 |
| 306 | 2025-02-26 19:56:28 | phenotypes | 3 | 140603 | 31 | 32.283 | 4355.3 |
| 305 | 2025-02-18 05:21:12 | phenotypes | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 304 | 2025-02-15 05:00:10 | phenotypes | 4 | 161450 | 134 | 72.770 | 2218.6 |
| 303 | 2025-02-13 04:54:45 | phenotypes | 4 | 161450 | 134 | 70.770 | 2281.3 |
| 302 | 2025-02-13 04:54:47 | phenotypes | 2 | 108824 | 9 | 16.046 | 6782.0 |
| 301 | 2025-02-13 04:53:29 | phenotypes | 1 | 67641 | 3 | 5.733 | 11798.5 |
| 300 | 2025-02-10 22:52:57 | phenotypes | 3 | 140603 | 31 | 28.863 | 4871.4 |
| 299 | 2025-02-10 22:53:12 | phenotypes | 1 | 67641 | 3 | 5.656 | 11959.2 |
| 298 | 2025-02-05 19:32:36 | phenotypes | 1 | 67641 | 3 | 2.640 | 25621.6 |
| 297 | 2025-02-03 16:21:37 | phenotypes | 3 | 140603 | 31 | 32.003 | 4393.4 |
| 296 | 2025-02-01 23:23:19 | phenotypes | 3 | 140603 | 31 | 26.516 | 5302.6 |
| 295 | 2025-02-01 21:36:19 | phenotypes | 3 | 140603 | 31 | 26.926 | 5221.8 |
| 294 | 2025-01-16 12:19:10 | phenotypes | 3 | 140603 | 31 | 25.063 | 5610.0 |
| 293 | 2025-01-16 12:19:10 | phenotypes | 2 | 108824 | 9 | 17.910 | 6076.2 |
| 292 | 2025-01-16 12:17:09 | phenotypes | 1 | 67641 | 3 | 5.983 | 11305.5 |
| 291 | 2025-01-10 10:46:30 | phenotypes | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 290 | 2025-01-02 04:43:32 | phenotypes | 3 | 140603 | 31 | 42.146 | 3336.1 |
| 289 | 2024-12-31 22:43:24 | phenotypes | 3 | 140603 | 31 | 35.140 | 4001.2 |
| 288 | 2024-12-13 22:41:09 | phenotypes | 2 | 108824 | 9 | 7.763 | 14018.3 |
| 287 | 2024-12-13 22:40:32 | phenotypes | 3 | 140603 | 31 | 32.420 | 4336.9 |
| 286 | 2024-12-13 22:38:14 | phenotypes | 1 | 67641 | 3 | 1.830 | 36962.3 |
| 285 | 2024-12-12 11:22:47 | phenotypes | 2 | 108824 | 9 | 15.766 | 6902.4 |
| 284 | 2024-12-06 08:14:49 | phenotypes | 2 | 108824 | 9 | 16.813 | 6472.6 |
| 283 | 2024-12-04 05:47:52 | phenotypes | 2 | 108824 | 9 | 15.376 | 7077.5 |
| 282 | 2024-12-04 05:47:44 | phenotypes | 1 | 67641 | 3 | 2.796 | 24192.1 |
| 281 | 2024-12-01 14:04:58 | phenotypes | 3 | 140603 | 31 | 32.943 | 4268.1 |
| 280 | 2024-12-01 08:37:45 | phenotypes | 3 | 140603 | 31 | 16.393 | 8577.0 |
| 279 | 2024-11-30 05:57:00 | phenotypes | 3 | 140603 | 31 | 37.470 | 3752.4 |
| 278 | 2024-11-27 21:13:20 | phenotypes | 3 | 140603 | 31 | 18.190 | 7729.7 |
| 277 | 2024-11-19 06:13:38 | phenotypes | 1 | 67641 | 3 | 7.890 | 8573.0 |
| 276 | 2024-11-02 04:19:53 | phenotypes | 2 | 108824 | 9 | 14.360 | 7578.3 |
| 275 | 2024-11-01 18:31:12 | phenotypes | 1 | 67641 | 3 | 5.126 | 13195.7 |
| 274 | 2024-11-01 13:24:37 | phenotypes | 1 | 67641 | 3 | 1.110 | 60937.8 |