History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"complexity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 415 | 2025-11-06 11:17:50 | complexity | 4 | 161450 | 83 | 11.860 | 13613.0 |
| 414 | 2025-11-06 07:20:46 | complexity | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 413 | 2025-11-06 04:47:25 | complexity | 5 | 173545 | 431 | 15.373 | 11288.9 |
| 412 | 2025-11-06 03:20:47 | complexity | 2 | 108824 | 6 | 3.330 | 32679.9 |
| 411 | 2025-11-06 00:19:58 | complexity | 3 | 140603 | 25 | 6.420 | 21900.8 |
| 410 | 2025-11-05 16:38:13 | complexity | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 409 | 2025-11-04 02:25:47 | complexity | 4 | 161450 | 83 | 11.843 | 13632.5 |
| 408 | 2025-11-03 09:48:30 | complexity | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 407 | 2025-11-01 00:40:03 | complexity | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 406 | 2025-10-22 23:01:53 | complexity | 1 | 67641 | 2 | 5.280 | 12810.8 |
| 405 | 2025-10-19 07:09:28 | complexity | 2 | 108824 | 6 | 3.140 | 34657.3 |
| 404 | 2025-10-19 01:11:41 | complexity | 3 | 140603 | 25 | 6.250 | 22496.5 |
| 403 | 2025-10-18 23:37:40 | complexity | 3 | 140603 | 25 | 6.906 | 20359.5 |
| 402 | 2025-10-15 05:48:58 | complexity | 3 | 140603 | 25 | 6.016 | 23371.5 |
| 401 | 2025-10-09 01:00:58 | complexity | 4 | 161450 | 83 | 11.466 | 14080.8 |
| 400 | 2025-10-07 19:33:03 | complexity | 2 | 108824 | 6 | 3.326 | 32719.2 |
| 399 | 2025-09-30 17:04:02 | complexity | 5 | 173545 | 431 | 18.660 | 9300.4 |
| 398 | 2025-09-30 15:28:55 | complexity | 3 | 140603 | 25 | 5.890 | 23871.5 |
| 397 | 2025-09-30 12:06:40 | complexity | 5 | 173545 | 431 | 16.923 | 10255.0 |
| 396 | 2025-09-30 05:12:14 | complexity | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 395 | 2025-09-25 16:37:53 | complexity | 5 | 173545 | 431 | 104.333 | 1663.4 |
| 394 | 2025-09-25 16:37:27 | complexity | 5 | 173545 | 431 | 110.646 | 1568.5 |
| 393 | 2025-09-25 16:38:05 | complexity | 5 | 173545 | 431 | 65.410 | 2653.2 |
| 392 | 2025-09-25 16:37:38 | complexity | 5 | 173545 | 431 | 83.223 | 2085.3 |
| 391 | 2025-09-25 10:15:09 | complexity | 5 | 173545 | 431 | 104.773 | 1656.4 |
| 390 | 2025-09-25 05:26:50 | complexity | 5 | 173545 | 431 | 103.230 | 1681.1 |
| 389 | 2025-09-25 03:34:25 | complexity | 5 | 173545 | 431 | 109.710 | 1581.9 |
| 388 | 2025-09-20 21:22:24 | complexity | 5 | 173545 | 431 | 16.266 | 10669.2 |
| 387 | 2025-09-19 10:06:42 | complexity | 3 | 140603 | 25 | 5.893 | 23859.3 |
| 386 | 2025-09-18 22:37:39 | complexity | 5 | 173545 | 431 | 18.080 | 9598.7 |
| 385 | 2025-09-18 03:57:42 | complexity | 5 | 173545 | 431 | 15.266 | 11368.1 |
| 384 | 2025-09-17 18:47:56 | complexity | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 383 | 2025-09-17 12:33:32 | complexity | 2 | 108824 | 6 | 3.233 | 33660.4 |
| 382 | 2025-09-17 05:27:06 | complexity | 4 | 161450 | 83 | 12.156 | 13281.5 |
| 381 | 2025-09-13 19:39:10 | complexity | 4 | 161450 | 83 | 11.563 | 13962.6 |
| 380 | 2025-09-13 05:32:06 | complexity | 4 | 161450 | 83 | 11.186 | 14433.2 |
| 379 | 2025-09-08 06:41:34 | complexity | 4 | 161450 | 83 | 10.280 | 15705.3 |
| 378 | 2025-09-07 06:05:54 | complexity | 2 | 108824 | 6 | 2.780 | 39145.3 |
| 377 | 2025-09-02 01:19:10 | complexity | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 376 | 2025-09-02 00:29:27 | complexity | 2 | 108824 | 6 | 2.906 | 37448.0 |
| 375 | 2025-09-01 21:00:04 | complexity | 3 | 140603 | 25 | 6.050 | 23240.2 |
| 374 | 2025-08-31 20:00:00 | complexity | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 373 | 2025-08-30 14:48:36 | complexity | 3 | 140603 | 25 | 6.800 | 20676.9 |
| 372 | 2025-08-29 02:43:40 | complexity | 2 | 108824 | 6 | 2.750 | 39572.4 |
| 371 | 2025-08-29 00:30:22 | complexity | 2 | 108824 | 6 | 2.876 | 37838.7 |
| 370 | 2025-08-28 21:28:55 | complexity | 3 | 140603 | 25 | 8.860 | 15869.4 |
| 369 | 2025-08-20 12:14:32 | complexity | 2 | 108824 | 6 | 3.170 | 34329.3 |
| 368 | 2025-08-19 12:04:09 | complexity | 3 | 140603 | 25 | 16.800 | 8369.2 |
| 367 | 2025-08-03 23:24:01 | complexity | 3 | 140603 | 25 | 21.546 | 6525.7 |
| 366 | 2025-07-27 14:09:49 | complexity | 1 | 67641 | 2 | 4.110 | 16457.7 |
| 365 | 2025-07-25 02:39:10 | complexity | 1 | 67641 | 2 | 4.733 | 14291.4 |
| 364 | 2025-07-24 21:28:05 | complexity | 1 | 67641 | 2 | 4.283 | 15792.9 |
| 363 | 2025-07-21 23:53:07 | complexity | 2 | 108824 | 6 | 3.250 | 33484.3 |
| 362 | 2025-07-21 23:02:56 | complexity | 3 | 140603 | 25 | 5.906 | 23806.8 |
| 361 | 2025-07-19 11:54:57 | complexity | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 360 | 2025-07-16 22:46:44 | complexity | 1 | 67641 | 2 | 4.966 | 13620.8 |
| 359 | 2025-07-14 08:30:38 | complexity | 3 | 140603 | 25 | 33.113 | 4246.2 |
| 358 | 2025-07-13 18:23:33 | complexity | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 357 | 2025-07-13 15:33:42 | complexity | 3 | 140603 | 25 | 6.313 | 22272.0 |
| 356 | 2025-07-11 15:37:58 | complexity | 3 | 140603 | 25 | 47.113 | 2984.4 |
| 355 | 2025-07-10 01:01:36 | complexity | 3 | 140603 | 25 | 28.050 | 5012.6 |
| 354 | 2025-07-05 15:34:50 | complexity | 3 | 140603 | 25 | 17.750 | 7921.3 |
| 353 | 2025-07-04 23:20:56 | complexity | 3 | 140603 | 25 | 25.876 | 5433.7 |
| 352 | 2025-07-03 11:37:34 | complexity | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 351 | 2025-06-28 06:39:54 | complexity | 1 | 67641 | 2 | 2.563 | 26391.3 |
| 350 | 2025-06-26 13:45:13 | complexity | 1 | 67641 | 2 | 5.266 | 12844.9 |
| 349 | 2025-06-11 22:43:31 | complexity | 1 | 67641 | 2 | 5.593 | 12093.9 |
| 348 | 2025-06-09 16:17:11 | complexity | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 347 | 2025-05-23 22:59:54 | complexity | 3 | 140603 | 25 | 33.423 | 4206.8 |
| 346 | 2025-05-22 10:30:05 | complexity | 3 | 140603 | 25 | 32.123 | 4377.0 |
| 345 | 2025-05-21 22:13:31 | complexity | 3 | 140603 | 25 | 33.893 | 4148.4 |
| 344 | 2025-05-21 04:53:22 | complexity | 2 | 108824 | 6 | 2.893 | 37616.3 |
| 343 | 2025-05-20 18:14:06 | complexity | 3 | 140603 | 25 | 30.893 | 4551.3 |
| 342 | 2025-05-20 08:32:50 | complexity | 2 | 108824 | 6 | 11.876 | 9163.4 |
| 341 | 2025-05-17 12:51:11 | complexity | 3 | 140603 | 25 | 10.796 | 13023.6 |
| 340 | 2025-05-17 11:27:09 | complexity | 2 | 108824 | 6 | 14.140 | 7696.2 |
| 339 | 2025-05-15 04:46:54 | complexity | 1 | 67641 | 2 | 1.296 | 52192.1 |
| 338 | 2025-05-12 23:24:52 | complexity | 3 | 140603 | 25 | 32.033 | 4389.3 |
| 337 | 2025-05-11 14:38:18 | complexity | 3 | 140603 | 25 | 6.220 | 22605.0 |
| 336 | 2025-05-11 07:24:27 | complexity | 2 | 108824 | 6 | 9.156 | 11885.5 |
| 335 | 2025-05-08 06:34:32 | complexity | 1 | 67641 | 2 | 6.470 | 10454.6 |
| 334 | 2025-05-08 03:36:11 | complexity | 1 | 67641 | 2 | 4.986 | 13566.2 |
| 333 | 2025-05-06 16:34:36 | complexity | 1 | 67641 | 2 | 3.283 | 20603.4 |
| 332 | 2025-05-05 23:05:28 | complexity | 4 | 161450 | 83 | 50.366 | 3205.5 |
| 331 | 2025-05-05 04:50:50 | complexity | 4 | 161450 | 83 | 45.876 | 3519.3 |
| 330 | 2025-05-02 00:48:55 | complexity | 3 | 140603 | 25 | 26.800 | 5246.4 |
| 329 | 2025-05-01 18:55:48 | complexity | 4 | 161450 | 83 | 47.516 | 3397.8 |
| 328 | 2025-05-01 18:09:13 | complexity | 3 | 140603 | 25 | 6.110 | 23011.9 |
| 327 | 2025-05-01 17:57:04 | complexity | 2 | 108824 | 6 | 3.110 | 34991.6 |
| 326 | 2025-05-01 06:18:30 | complexity | 1 | 67641 | 2 | 3.626 | 18654.4 |
| 325 | 2025-04-30 21:02:00 | complexity | 1 | 67641 | 2 | 4.750 | 14240.2 |
| 324 | 2025-04-29 23:13:17 | complexity | 1 | 67641 | 2 | 7.046 | 9599.9 |
| 323 | 2025-04-25 22:26:17 | complexity | 4 | 161450 | 83 | 59.676 | 2705.4 |
| 322 | 2025-04-22 22:08:10 | complexity | 4 | 161450 | 83 | 47.876 | 3372.3 |
| 321 | 2025-04-20 14:16:44 | complexity | 4 | 161450 | 83 | 38.736 | 4168.0 |
| 320 | 2025-04-18 11:28:07 | complexity | 1 | 67641 | 2 | 2.953 | 22905.9 |
| 319 | 2025-04-08 08:35:54 | complexity | 1 | 67641 | 2 | 5.766 | 11731.0 |
| 318 | 2025-03-23 18:08:59 | complexity | 3 | 140603 | 25 | 27.426 | 5126.6 |
| 317 | 2025-03-20 23:31:10 | complexity | 4 | 161450 | 83 | 62.956 | 2564.5 |
| 316 | 2025-03-20 00:14:50 | complexity | 1 | 67641 | 2 | 5.220 | 12958.0 |