History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"microscale"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 411 | 2025-10-26 19:46:55 | microscale | 1 | 67641 | 3 | 2.873 | 23543.7 |
| 410 | 2025-09-18 18:31:43 | microscale | 2 | 108824 | 6 | 3.250 | 33484.3 |
| 409 | 2025-09-09 16:56:05 | microscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 408 | 2025-09-05 14:54:19 | microscale | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 407 | 2025-08-31 10:52:07 | microscale | 3 | 140603 | 23 | 13.470 | 10438.2 |
| 406 | 2025-08-21 04:07:09 | microscale | 3 | 140603 | 23 | 16.110 | 8727.7 |
| 405 | 2025-08-20 10:40:41 | microscale | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 404 | 2025-08-17 07:34:31 | microscale | 1 | 67641 | 3 | 5.500 | 12298.4 |
| 403 | 2025-08-09 04:17:56 | microscale | 1 | 67641 | 3 | 7.080 | 9553.8 |
| 402 | 2025-08-09 00:21:11 | microscale | 1 | 67641 | 3 | 3.126 | 21638.2 |
| 401 | 2025-08-05 17:49:10 | microscale | 1 | 67641 | 3 | 3.076 | 21989.9 |
| 400 | 2025-07-24 18:43:36 | microscale | 1 | 67641 | 3 | 4.716 | 14342.9 |
| 399 | 2025-07-16 23:48:00 | microscale | 1 | 67641 | 3 | 2.420 | 27950.8 |
| 398 | 2025-07-14 17:09:30 | microscale | 3 | 140603 | 23 | 38.550 | 3647.3 |
| 397 | 2025-07-14 13:44:48 | microscale | 2 | 108824 | 6 | 9.296 | 11706.5 |
| 396 | 2025-07-14 13:19:19 | microscale | 3 | 140603 | 23 | 32.186 | 4368.5 |
| 395 | 2025-07-14 11:18:05 | microscale | 3 | 140603 | 23 | 28.733 | 4893.4 |
| 394 | 2025-07-14 11:01:44 | microscale | 4 | 161450 | 101 | 63.380 | 2547.3 |
| 393 | 2025-07-14 04:40:46 | microscale | 4 | 161450 | 101 | 52.353 | 3083.9 |
| 392 | 2025-07-05 22:50:15 | microscale | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 391 | 2025-07-05 17:27:10 | microscale | 2 | 108824 | 6 | 20.736 | 5248.1 |
| 390 | 2025-07-05 16:27:55 | microscale | 3 | 140603 | 23 | 16.266 | 8644.0 |
| 389 | 2025-07-05 00:16:13 | microscale | 4 | 161450 | 101 | 62.020 | 2603.2 |
| 388 | 2025-07-04 16:01:28 | microscale | 1 | 67641 | 3 | 4.936 | 13703.6 |
| 387 | 2025-07-03 23:28:54 | microscale | 1 | 67641 | 3 | 6.750 | 10020.9 |
| 386 | 2025-06-26 11:58:57 | microscale | 1 | 67641 | 3 | 3.546 | 19075.3 |
| 385 | 2025-06-23 17:04:48 | microscale | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 384 | 2025-06-15 22:40:22 | microscale | 1 | 67641 | 3 | 5.216 | 12968.0 |
| 383 | 2025-06-11 12:37:14 | microscale | 1 | 67641 | 3 | 7.343 | 9211.6 |
| 382 | 2025-06-11 03:40:06 | microscale | 4 | 161450 | 101 | 43.320 | 3726.9 |
| 381 | 2025-06-10 16:21:20 | microscale | 4 | 161450 | 101 | 56.270 | 2869.2 |
| 380 | 2025-06-10 01:15:05 | microscale | 1 | 67641 | 3 | 3.093 | 21869.1 |
| 379 | 2025-06-04 23:18:24 | microscale | 4 | 161450 | 101 | 41.860 | 3856.9 |
| 378 | 2025-06-03 08:22:11 | microscale | 1 | 67641 | 3 | 8.296 | 8153.4 |
| 377 | 2025-06-03 02:40:33 | microscale | 4 | 161450 | 101 | 48.816 | 3307.3 |
| 376 | 2025-05-28 07:45:46 | microscale | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 375 | 2025-05-21 22:11:03 | microscale | 1 | 67641 | 3 | 5.923 | 11420.1 |
| 374 | 2025-05-06 01:13:33 | microscale | 1 | 67641 | 3 | 3.110 | 21749.5 |
| 373 | 2025-05-04 23:13:18 | microscale | 4 | 161450 | 101 | 64.376 | 2507.9 |
| 372 | 2025-05-04 18:57:47 | microscale | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 371 | 2025-04-30 12:17:01 | microscale | 1 | 67641 | 3 | 2.876 | 23519.1 |
| 370 | 2025-04-29 16:05:49 | microscale | 4 | 161450 | 101 | 46.613 | 3463.6 |
| 369 | 2025-04-28 16:12:36 | microscale | 1 | 67641 | 3 | 5.686 | 11896.1 |
| 368 | 2025-04-23 19:44:18 | microscale | 4 | 161450 | 101 | 42.906 | 3762.9 |
| 367 | 2025-04-22 19:08:16 | microscale | 1 | 67641 | 3 | 1.143 | 59178.5 |
| 366 | 2025-04-22 08:38:17 | microscale | 4 | 161450 | 101 | 11.860 | 13613.0 |
| 365 | 2025-04-21 03:33:07 | microscale | 1 | 67641 | 3 | 4.576 | 14781.7 |
| 364 | 2025-04-18 10:38:35 | microscale | 1 | 67641 | 3 | 2.686 | 25182.8 |
| 363 | 2025-04-10 22:02:37 | microscale | 1 | 67641 | 3 | 6.576 | 10286.0 |
| 362 | 2025-04-06 15:04:16 | microscale | 1 | 67641 | 3 | 6.500 | 10406.3 |
| 361 | 2025-03-25 18:06:45 | microscale | 4 | 161450 | 101 | 49.533 | 3259.4 |
| 360 | 2025-03-22 11:11:44 | microscale | 4 | 161450 | 101 | 31.020 | 5204.7 |
| 359 | 2025-03-20 04:13:13 | microscale | 4 | 161450 | 101 | 60.880 | 2651.9 |
| 358 | 2025-03-14 05:03:14 | microscale | 4 | 161450 | 101 | 85.443 | 1889.6 |
| 357 | 2025-03-07 05:03:37 | microscale | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 356 | 2025-03-03 12:08:48 | microscale | 4 | 161450 | 101 | 29.906 | 5398.6 |
| 355 | 2025-02-23 11:31:38 | microscale | 3 | 140603 | 23 | 26.890 | 5228.8 |
| 354 | 2025-02-23 11:31:33 | microscale | 2 | 108824 | 6 | 15.563 | 6992.5 |
| 353 | 2025-02-23 11:29:47 | microscale | 1 | 67641 | 3 | 2.533 | 26703.9 |
| 352 | 2025-02-21 13:36:58 | microscale | 1 | 67641 | 3 | 3.936 | 17185.2 |
| 351 | 2025-02-20 17:20:09 | microscale | 3 | 140603 | 23 | 33.420 | 4207.2 |
| 350 | 2025-02-19 10:26:25 | microscale | 4 | 161450 | 101 | 64.910 | 2487.3 |
| 349 | 2025-02-19 10:26:19 | microscale | 3 | 140603 | 23 | 33.736 | 4167.7 |
| 348 | 2025-02-19 10:26:17 | microscale | 2 | 108824 | 6 | 10.250 | 10617.0 |
| 347 | 2025-02-19 10:21:28 | microscale | 1 | 67641 | 3 | 2.720 | 24868.0 |
| 346 | 2025-02-11 17:18:22 | microscale | 1 | 67641 | 3 | 2.876 | 23519.1 |
| 345 | 2025-01-29 20:45:41 | microscale | 3 | 140603 | 23 | 26.923 | 5222.4 |
| 344 | 2025-01-29 20:45:48 | microscale | 2 | 108824 | 6 | 12.920 | 8422.9 |
| 343 | 2025-01-29 20:44:03 | microscale | 3 | 140603 | 23 | 31.473 | 4467.4 |
| 342 | 2025-01-29 20:42:08 | microscale | 1 | 67641 | 3 | 7.280 | 9291.3 |
| 341 | 2025-01-29 08:24:39 | microscale | 3 | 140603 | 23 | 32.800 | 4286.7 |
| 340 | 2025-01-21 22:41:23 | microscale | 3 | 140603 | 23 | 34.346 | 4093.7 |
| 339 | 2025-01-21 22:41:26 | microscale | 2 | 108824 | 6 | 17.156 | 6343.2 |
| 338 | 2025-01-21 22:37:52 | microscale | 1 | 67641 | 3 | 5.173 | 13075.8 |
| 337 | 2025-01-17 14:55:11 | microscale | 3 | 140603 | 23 | 31.533 | 4458.9 |
| 336 | 2025-01-17 14:55:00 | microscale | 3 | 140603 | 23 | 32.750 | 4293.2 |
| 335 | 2025-01-17 14:55:11 | microscale | 2 | 108824 | 6 | 18.236 | 5967.5 |
| 334 | 2025-01-17 14:51:39 | microscale | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 333 | 2024-12-31 06:52:55 | microscale | 1 | 67641 | 3 | 5.420 | 12479.9 |
| 332 | 2024-12-22 21:18:26 | microscale | 1 | 67641 | 3 | 5.063 | 13359.9 |
| 331 | 2024-12-11 21:45:34 | microscale | 1 | 67641 | 3 | 4.856 | 13929.4 |
| 330 | 2024-12-07 15:19:23 | microscale | 3 | 140603 | 23 | 30.793 | 4566.1 |
| 329 | 2024-12-05 01:30:24 | microscale | 1 | 67641 | 3 | 4.593 | 14727.0 |
| 328 | 2024-11-30 20:11:13 | microscale | 3 | 140603 | 23 | 33.346 | 4216.5 |
| 327 | 2024-11-22 19:20:37 | microscale | 2 | 108824 | 6 | 15.440 | 7048.2 |
| 326 | 2024-11-22 06:43:39 | microscale | 2 | 108824 | 6 | 14.580 | 7463.9 |
| 325 | 2024-11-22 06:41:25 | microscale | 3 | 140603 | 23 | 31.440 | 4472.1 |
| 324 | 2024-11-22 06:38:41 | microscale | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 323 | 2024-11-16 18:29:06 | microscale | 1 | 67641 | 3 | 4.046 | 16718.0 |
| 322 | 2024-11-04 13:41:29 | microscale | 3 | 140603 | 23 | 37.876 | 3712.2 |
| 321 | 2024-11-04 13:41:40 | microscale | 2 | 108824 | 6 | 14.360 | 7578.3 |
| 320 | 2024-11-04 13:39:56 | microscale | 1 | 67641 | 3 | 2.343 | 28869.4 |
| 319 | 2024-10-30 19:36:21 | microscale | 3 | 140603 | 23 | 33.393 | 4210.6 |
| 318 | 2024-10-28 12:51:49 | microscale | 3 | 140603 | 23 | 32.283 | 4355.3 |
| 317 | 2024-10-26 02:47:59 | microscale | 1 | 67641 | 3 | 7.670 | 8818.9 |
| 316 | 2024-10-23 09:45:56 | microscale | 3 | 140603 | 23 | 15.236 | 9228.3 |
| 315 | 2024-10-18 18:15:03 | microscale | 3 | 140603 | 23 | 36.846 | 3816.0 |
| 314 | 2024-10-18 18:15:06 | microscale | 2 | 108824 | 6 | 19.313 | 5634.8 |
| 313 | 2024-10-18 18:12:21 | microscale | 1 | 67641 | 3 | 4.360 | 15514.0 |
| 312 | 2024-09-23 01:01:42 | microscale | 1 | 67641 | 3 | 3.766 | 17961.0 |