History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"calibrated"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 412 | 2025-11-27 17:10:06 | calibrated | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 411 | 2025-11-26 00:19:17 | calibrated | 1 | 67641 | 3 | 3.763 | 17975.3 |
| 410 | 2025-11-25 00:46:41 | calibrated | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 409 | 2025-11-11 19:14:28 | calibrated | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 408 | 2025-11-09 00:27:16 | calibrated | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 407 | 2025-11-05 05:59:37 | calibrated | 1 | 67641 | 3 | 1.310 | 51634.4 |
| 406 | 2025-10-26 01:29:13 | calibrated | 1 | 67641 | 3 | 1.060 | 63812.3 |
| 405 | 2025-10-11 21:10:59 | calibrated | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 404 | 2025-10-06 20:08:09 | calibrated | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 403 | 2025-09-29 17:30:03 | calibrated | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 402 | 2025-09-28 02:02:51 | calibrated | 1 | 67641 | 3 | 1.106 | 61158.2 |
| 401 | 2025-09-05 06:21:11 | calibrated | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 400 | 2025-08-28 20:23:06 | calibrated | 1 | 67641 | 3 | 1.406 | 48108.8 |
| 399 | 2025-08-27 21:13:35 | calibrated | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 398 | 2025-08-27 17:40:44 | calibrated | 1 | 67641 | 3 | 1.236 | 54725.7 |
| 397 | 2025-08-26 22:12:18 | calibrated | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 396 | 2025-08-25 02:22:28 | calibrated | 1 | 67641 | 3 | 4.110 | 16457.7 |
| 395 | 2025-08-15 19:16:22 | calibrated | 4 | 161450 | 267 | 12.470 | 12947.1 |
| 394 | 2025-08-09 13:22:35 | calibrated | 1 | 67641 | 3 | 2.500 | 27056.4 |
| 393 | 2025-08-09 02:12:13 | calibrated | 1 | 67641 | 3 | 6.500 | 10406.3 |
| 392 | 2025-08-06 03:53:41 | calibrated | 4 | 161450 | 267 | 28.040 | 5757.8 |
| 391 | 2025-08-06 03:53:38 | calibrated | 4 | 161450 | 267 | 28.553 | 5654.4 |
| 390 | 2025-08-04 20:32:06 | calibrated | 4 | 161450 | 267 | 30.173 | 5350.8 |
| 389 | 2025-08-04 19:10:33 | calibrated | 4 | 161450 | 267 | 58.520 | 2758.9 |
| 388 | 2025-08-04 19:10:10 | calibrated | 4 | 161450 | 267 | 35.800 | 4509.8 |
| 387 | 2025-08-04 09:59:04 | calibrated | 4 | 161450 | 267 | 49.016 | 3293.8 |
| 386 | 2025-08-04 09:00:09 | calibrated | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 385 | 2025-08-04 07:38:48 | calibrated | 4 | 161450 | 267 | 20.720 | 7792.0 |
| 384 | 2025-08-02 06:37:02 | calibrated | 4 | 161450 | 267 | 31.853 | 5068.6 |
| 383 | 2025-07-31 16:33:41 | calibrated | 4 | 161450 | 267 | 14.376 | 11230.5 |
| 382 | 2025-07-27 00:40:47 | calibrated | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 381 | 2025-07-26 23:13:33 | calibrated | 1 | 67641 | 3 | 2.906 | 23276.3 |
| 380 | 2025-07-25 02:57:20 | calibrated | 1 | 67641 | 3 | 4.550 | 14866.2 |
| 379 | 2025-07-24 22:49:40 | calibrated | 1 | 67641 | 3 | 3.343 | 20233.6 |
| 378 | 2025-07-24 03:28:02 | calibrated | 1 | 67641 | 3 | 4.310 | 15694.0 |
| 377 | 2025-07-24 03:00:46 | calibrated | 1 | 67641 | 3 | 5.046 | 13404.9 |
| 376 | 2025-07-22 17:29:35 | calibrated | 1 | 67641 | 3 | 5.360 | 12619.6 |
| 375 | 2025-07-22 17:06:57 | calibrated | 2 | 108824 | 9 | 17.236 | 6313.8 |
| 374 | 2025-07-22 13:50:23 | calibrated | 1 | 67641 | 3 | 4.593 | 14727.0 |
| 373 | 2025-07-16 21:26:52 | calibrated | 3 | 140603 | 46 | 6.796 | 20689.1 |
| 372 | 2025-07-11 04:01:13 | calibrated | 1 | 67641 | 3 | 5.703 | 11860.6 |
| 371 | 2025-07-05 21:39:51 | calibrated | 2 | 108824 | 9 | 3.360 | 32388.1 |
| 370 | 2025-07-03 02:00:38 | calibrated | 3 | 140603 | 46 | 15.110 | 9305.3 |
| 369 | 2025-06-28 22:22:11 | calibrated | 3 | 140603 | 46 | 6.280 | 22389.0 |
| 368 | 2025-06-22 05:59:52 | calibrated | 3 | 140603 | 46 | 20.753 | 6775.1 |
| 367 | 2025-06-22 02:13:13 | calibrated | 1 | 67641 | 3 | 8.140 | 8309.7 |
| 366 | 2025-06-20 23:17:17 | calibrated | 2 | 108824 | 9 | 28.423 | 3828.7 |
| 365 | 2025-06-19 23:02:51 | calibrated | 3 | 140603 | 46 | 21.096 | 6664.9 |
| 364 | 2025-06-16 17:55:02 | calibrated | 3 | 140603 | 46 | 17.576 | 7999.7 |
| 363 | 2025-06-16 02:30:06 | calibrated | 1 | 67641 | 3 | 2.486 | 27208.8 |
| 362 | 2025-06-15 06:00:54 | calibrated | 2 | 108824 | 9 | 2.796 | 38921.3 |
| 361 | 2025-06-15 02:51:44 | calibrated | 3 | 140603 | 46 | 6.643 | 21165.6 |
| 360 | 2025-06-14 02:07:59 | calibrated | 1 | 67641 | 3 | 2.716 | 24904.6 |
| 359 | 2025-06-12 17:49:23 | calibrated | 1 | 67641 | 3 | 1.216 | 55625.8 |
| 358 | 2025-06-12 08:00:27 | calibrated | 2 | 108824 | 9 | 22.996 | 4732.3 |
| 357 | 2025-06-11 11:42:18 | calibrated | 4 | 161450 | 267 | 58.923 | 2740.0 |
| 356 | 2025-06-09 21:05:40 | calibrated | 1 | 67641 | 3 | 6.203 | 10904.6 |
| 355 | 2025-06-07 12:51:51 | calibrated | 4 | 161450 | 267 | 47.960 | 3366.3 |
| 354 | 2025-06-04 17:49:48 | calibrated | 4 | 161450 | 267 | 66.676 | 2421.4 |
| 353 | 2025-06-04 13:02:07 | calibrated | 4 | 161450 | 267 | 64.440 | 2505.4 |
| 352 | 2025-06-03 19:54:45 | calibrated | 4 | 161450 | 267 | 54.253 | 2975.9 |
| 351 | 2025-06-02 23:18:53 | calibrated | 4 | 161450 | 267 | 32.813 | 4920.3 |
| 350 | 2025-05-30 21:02:12 | calibrated | 4 | 161450 | 267 | 51.720 | 3121.6 |
| 349 | 2025-05-10 18:03:45 | calibrated | 1 | 67641 | 3 | 5.423 | 12473.0 |
| 348 | 2025-05-08 16:47:28 | calibrated | 4 | 161450 | 267 | 66.706 | 2420.3 |
| 347 | 2025-05-07 11:22:45 | calibrated | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 346 | 2025-05-06 13:20:21 | calibrated | 4 | 161450 | 267 | 74.383 | 2170.5 |
| 345 | 2025-04-29 06:59:05 | calibrated | 4 | 161450 | 267 | 62.766 | 2572.3 |
| 344 | 2025-04-26 17:24:58 | calibrated | 1 | 67641 | 3 | 10.236 | 6608.1 |
| 343 | 2025-04-24 12:39:33 | calibrated | 4 | 161450 | 267 | 59.880 | 2696.2 |
| 342 | 2025-04-20 20:06:39 | calibrated | 4 | 161450 | 267 | 41.690 | 3872.6 |
| 341 | 2025-04-19 06:10:17 | calibrated | 4 | 161450 | 267 | 11.876 | 13594.6 |
| 340 | 2025-04-08 11:58:58 | calibrated | 2 | 108824 | 9 | 3.296 | 33017.0 |
| 339 | 2025-04-07 07:55:21 | calibrated | 3 | 140603 | 46 | 6.423 | 21890.5 |
| 338 | 2025-04-05 22:07:24 | calibrated | 3 | 140603 | 46 | 27.550 | 5103.6 |
| 337 | 2025-04-04 13:13:46 | calibrated | 3 | 140603 | 46 | 40.596 | 3463.5 |
| 336 | 2025-04-04 01:47:31 | calibrated | 3 | 140603 | 46 | 31.460 | 4469.3 |
| 335 | 2025-04-02 21:51:04 | calibrated | 1 | 67641 | 3 | 3.953 | 17111.3 |
| 334 | 2025-04-02 01:57:52 | calibrated | 1 | 67641 | 3 | 6.796 | 9953.1 |
| 333 | 2025-03-29 02:59:38 | calibrated | 1 | 67641 | 3 | 6.736 | 10041.7 |
| 332 | 2025-03-26 03:18:34 | calibrated | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 331 | 2025-03-19 21:37:07 | calibrated | 1 | 67641 | 3 | 3.220 | 21006.5 |
| 330 | 2025-03-04 05:10:28 | calibrated | 3 | 140603 | 46 | 42.470 | 3310.6 |
| 329 | 2025-03-02 00:11:56 | calibrated | 3 | 140603 | 46 | 33.313 | 4220.7 |
| 328 | 2025-03-01 22:39:27 | calibrated | 3 | 140603 | 46 | 30.783 | 4567.6 |
| 327 | 2025-03-01 00:00:28 | calibrated | 3 | 140603 | 46 | 32.220 | 4363.8 |
| 326 | 2025-02-22 18:30:46 | calibrated | 3 | 140603 | 46 | 33.813 | 4158.3 |
| 325 | 2025-02-22 01:08:08 | calibrated | 3 | 140603 | 46 | 28.410 | 4949.1 |
| 324 | 2025-02-20 07:01:05 | calibrated | 3 | 140603 | 46 | 32.173 | 4370.2 |
| 323 | 2025-02-13 13:59:41 | calibrated | 1 | 67641 | 3 | 8.516 | 7942.8 |
| 322 | 2025-02-09 15:32:06 | calibrated | 2 | 108824 | 9 | 16.030 | 6788.8 |
| 321 | 2025-02-09 14:40:44 | calibrated | 1 | 67641 | 3 | 5.550 | 12187.6 |
| 320 | 2025-01-30 01:28:34 | calibrated | 3 | 140603 | 46 | 38.310 | 3670.1 |
| 319 | 2025-01-27 16:15:05 | calibrated | 1 | 67641 | 3 | 2.610 | 25916.1 |
| 318 | 2025-01-20 01:18:21 | calibrated | 3 | 140603 | 46 | 21.593 | 6511.5 |
| 317 | 2025-01-18 04:31:45 | calibrated | 1 | 67641 | 3 | 5.423 | 12473.0 |
| 316 | 2025-01-13 03:15:30 | calibrated | 3 | 140603 | 46 | 42.390 | 3316.9 |
| 315 | 2025-01-13 03:15:32 | calibrated | 3 | 140603 | 46 | 33.173 | 4238.5 |
| 314 | 2025-01-13 03:15:27 | calibrated | 2 | 108824 | 9 | 21.673 | 5021.2 |
| 313 | 2025-01-13 03:13:07 | calibrated | 1 | 67641 | 3 | 5.470 | 12365.8 |