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 |
| 454 | 2025-12-29 12:15:47 | complexity | 1 | 67641 | 2 | 1.280 | 52844.5 |
| 453 | 2025-12-29 06:25:17 | complexity | 1 | 67641 | 2 | 2.640 | 25621.6 |
| 452 | 2025-12-23 06:06:31 | complexity | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 451 | 2025-12-22 21:13:21 | complexity | 4 | 161450 | 83 | 10.920 | 14784.8 |
| 450 | 2025-12-20 02:38:46 | complexity | 4 | 161450 | 83 | 16.906 | 9549.9 |
| 449 | 2025-12-20 00:19:23 | complexity | 4 | 161450 | 83 | 11.233 | 14372.8 |
| 448 | 2025-12-19 20:01:24 | complexity | 4 | 161450 | 83 | 20.363 | 7928.6 |
| 447 | 2025-12-19 18:56:47 | complexity | 3 | 140603 | 25 | 6.733 | 20882.7 |
| 446 | 2025-12-19 15:16:03 | complexity | 3 | 140603 | 25 | 6.393 | 21993.3 |
| 445 | 2025-12-17 16:56:48 | complexity | 4 | 161450 | 83 | 30.563 | 5282.5 |
| 444 | 2025-12-17 08:25:21 | complexity | 2 | 108824 | 6 | 3.360 | 32388.1 |
| 443 | 2025-12-17 06:52:57 | complexity | 4 | 161450 | 83 | 29.486 | 5475.5 |
| 442 | 2025-12-17 06:38:06 | complexity | 1 | 67641 | 2 | 1.326 | 51011.3 |
| 441 | 2025-12-16 05:33:59 | complexity | 1 | 67641 | 2 | 1.343 | 50365.6 |
| 440 | 2025-12-16 01:52:42 | complexity | 1 | 67641 | 2 | 1.263 | 53555.8 |
| 439 | 2025-12-12 04:09:53 | complexity | 4 | 161450 | 83 | 53.970 | 2991.5 |
| 438 | 2025-12-06 12:43:38 | complexity | 2 | 108824 | 6 | 2.813 | 38686.1 |
| 437 | 2025-12-05 15:01:06 | complexity | 4 | 161450 | 83 | 12.390 | 13030.7 |
| 436 | 2025-12-05 09:56:24 | complexity | 3 | 140603 | 25 | 5.640 | 24929.6 |
| 435 | 2025-12-05 05:48:02 | complexity | 4 | 161450 | 83 | 11.550 | 13978.4 |
| 434 | 2025-12-05 01:56:10 | complexity | 3 | 140603 | 25 | 6.516 | 21578.1 |
| 433 | 2025-12-04 18:56:43 | complexity | 1 | 67641 | 2 | 1.266 | 53428.9 |
| 432 | 2025-12-02 10:10:39 | complexity | 5 | 173545 | 431 | 35.566 | 4879.5 |
| 431 | 2025-11-27 14:28:21 | complexity | 5 | 173545 | 431 | 17.080 | 10160.7 |
| 430 | 2025-11-14 12:15:15 | complexity | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 429 | 2025-11-11 03:05:02 | complexity | 5 | 173545 | 431 | 16.390 | 10588.5 |
| 428 | 2025-11-10 20:15:05 | complexity | 5 | 173545 | 431 | 34.453 | 5037.2 |
| 427 | 2025-11-10 18:13:47 | complexity | 5 | 173545 | 431 | 17.876 | 9708.3 |
| 426 | 2025-11-08 03:27:44 | complexity | 5 | 173545 | 431 | 17.003 | 10206.7 |
| 425 | 2025-11-07 23:31:13 | complexity | 2 | 108824 | 6 | 3.140 | 34657.3 |
| 424 | 2025-11-07 22:50:08 | complexity | 5 | 173545 | 431 | 16.580 | 10467.1 |
| 423 | 2025-11-07 21:39:17 | complexity | 5 | 173545 | 431 | 17.080 | 10160.7 |
| 422 | 2025-11-07 21:04:25 | complexity | 5 | 173545 | 431 | 15.156 | 11450.6 |
| 421 | 2025-11-07 19:14:13 | complexity | 2 | 108824 | 6 | 3.190 | 34114.1 |
| 420 | 2025-11-07 15:35:14 | complexity | 5 | 173545 | 431 | 16.250 | 10679.7 |
| 419 | 2025-11-07 13:41:36 | complexity | 2 | 108824 | 6 | 3.313 | 32847.6 |
| 418 | 2025-11-07 08:22:02 | complexity | 4 | 161450 | 83 | 11.326 | 14254.8 |
| 417 | 2025-11-06 22:31:26 | complexity | 5 | 173545 | 431 | 15.703 | 11051.7 |
| 416 | 2025-11-06 22:28:46 | complexity | 4 | 161450 | 83 | 10.846 | 14885.7 |
| 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 |