History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"macroscale"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 436 | 2025-11-01 01:15:28 | macroscale | 4 | 161450 | 69 | 10.046 | 16071.1 |
| 435 | 2025-10-28 06:23:44 | macroscale | 4 | 161450 | 69 | 10.876 | 14844.6 |
| 434 | 2025-10-26 14:55:33 | macroscale | 4 | 161450 | 69 | 16.093 | 10032.3 |
| 433 | 2025-10-24 07:55:40 | macroscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 432 | 2025-10-21 18:22:30 | macroscale | 5 | 173545 | 503 | 82.453 | 2104.8 |
| 431 | 2025-10-21 07:55:48 | macroscale | 1 | 67641 | 3 | 3.186 | 21230.7 |
| 430 | 2025-10-21 07:55:40 | macroscale | 1 | 67641 | 3 | 5.453 | 12404.4 |
| 429 | 2025-10-21 07:55:33 | macroscale | 1 | 67641 | 3 | 6.106 | 11077.8 |
| 428 | 2025-10-21 07:55:24 | macroscale | 1 | 67641 | 3 | 6.186 | 10934.5 |
| 427 | 2025-10-18 07:30:03 | macroscale | 5 | 173545 | 503 | 17.343 | 10006.6 |
| 426 | 2025-10-17 16:19:44 | macroscale | 4 | 161450 | 69 | 22.750 | 7096.7 |
| 425 | 2025-10-17 05:33:16 | macroscale | 5 | 173545 | 503 | 18.326 | 9469.9 |
| 424 | 2025-10-16 02:58:12 | macroscale | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 423 | 2025-10-06 14:26:33 | macroscale | 4 | 161450 | 69 | 11.016 | 14656.0 |
| 422 | 2025-10-06 09:52:21 | macroscale | 4 | 161450 | 69 | 12.283 | 13144.2 |
| 421 | 2025-10-02 13:20:28 | macroscale | 5 | 173545 | 503 | 16.093 | 10783.9 |
| 420 | 2025-09-27 04:08:32 | macroscale | 5 | 173545 | 503 | 16.986 | 10216.9 |
| 419 | 2025-09-26 15:26:42 | macroscale | 5 | 173545 | 503 | 18.080 | 9598.7 |
| 418 | 2025-09-23 21:11:53 | macroscale | 1 | 67641 | 3 | 1.153 | 58665.2 |
| 417 | 2025-09-22 14:01:51 | macroscale | 5 | 173545 | 503 | 16.343 | 10618.9 |
| 416 | 2025-09-19 15:18:49 | macroscale | 5 | 173545 | 503 | 18.656 | 9302.4 |
| 415 | 2025-09-18 21:23:44 | macroscale | 5 | 173545 | 503 | 25.423 | 6826.3 |
| 414 | 2025-09-11 06:19:21 | macroscale | 3 | 140603 | 11 | 5.783 | 24313.2 |
| 413 | 2025-09-10 23:22:55 | macroscale | 3 | 140603 | 11 | 6.563 | 21423.6 |
| 412 | 2025-09-08 22:28:30 | macroscale | 2 | 108824 | 4 | 3.063 | 35528.6 |
| 411 | 2025-09-06 01:23:40 | macroscale | 4 | 161450 | 69 | 10.236 | 15772.8 |
| 410 | 2025-09-03 23:03:39 | macroscale | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 409 | 2025-09-01 13:35:09 | macroscale | 5 | 173545 | 503 | 16.453 | 10547.9 |
| 408 | 2025-09-01 05:14:54 | macroscale | 5 | 173545 | 503 | 28.266 | 6139.7 |
| 407 | 2025-08-31 18:58:21 | macroscale | 5 | 173545 | 503 | 22.970 | 7555.3 |
| 406 | 2025-08-31 08:33:32 | macroscale | 5 | 173545 | 503 | 17.330 | 10014.1 |
| 405 | 2025-08-30 12:40:57 | macroscale | 1 | 67641 | 3 | 2.360 | 28661.4 |
| 404 | 2025-08-29 22:37:00 | macroscale | 4 | 161450 | 69 | 10.550 | 15303.3 |
| 403 | 2025-08-29 06:14:14 | macroscale | 4 | 161450 | 69 | 11.343 | 14233.4 |
| 402 | 2025-08-29 06:13:55 | macroscale | 3 | 140603 | 11 | 5.810 | 24200.2 |
| 401 | 2025-08-29 06:13:00 | macroscale | 2 | 108824 | 4 | 2.690 | 40455.0 |
| 400 | 2025-08-21 13:06:12 | macroscale | 1 | 67641 | 3 | 5.530 | 12231.6 |
| 399 | 2025-08-09 03:02:32 | macroscale | 1 | 67641 | 3 | 3.110 | 21749.5 |
| 398 | 2025-08-05 17:53:04 | macroscale | 2 | 108824 | 4 | 7.216 | 15080.9 |
| 397 | 2025-08-05 16:17:02 | macroscale | 2 | 108824 | 4 | 6.736 | 16155.6 |
| 396 | 2025-08-05 06:13:54 | macroscale | 3 | 140603 | 11 | 19.766 | 7113.4 |
| 395 | 2025-08-04 04:33:16 | macroscale | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 394 | 2025-08-03 05:49:25 | macroscale | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 393 | 2025-07-25 07:54:13 | macroscale | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 392 | 2025-07-24 14:15:16 | macroscale | 1 | 67641 | 3 | 2.610 | 25916.1 |
| 391 | 2025-07-20 08:08:17 | macroscale | 1 | 67641 | 3 | 6.843 | 9884.7 |
| 390 | 2025-07-19 19:36:28 | macroscale | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 389 | 2025-07-17 06:41:06 | macroscale | 2 | 108824 | 4 | 7.903 | 13770.0 |
| 388 | 2025-07-16 21:12:31 | macroscale | 3 | 140603 | 11 | 30.000 | 4686.8 |
| 387 | 2025-07-16 02:24:31 | macroscale | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 386 | 2025-07-15 10:16:46 | macroscale | 4 | 161450 | 69 | 69.876 | 2310.5 |
| 385 | 2025-07-13 05:06:58 | macroscale | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 384 | 2025-07-12 01:57:01 | macroscale | 4 | 161450 | 69 | 12.013 | 13439.6 |
| 383 | 2025-07-07 02:15:46 | macroscale | 2 | 108824 | 4 | 8.423 | 12919.9 |
| 382 | 2025-07-04 04:56:22 | macroscale | 1 | 67641 | 3 | 3.046 | 22206.5 |
| 381 | 2025-07-03 09:45:17 | macroscale | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 380 | 2025-07-03 04:43:26 | macroscale | 4 | 161450 | 69 | 14.936 | 10809.5 |
| 379 | 2025-06-30 14:29:24 | macroscale | 2 | 108824 | 4 | 11.576 | 9400.8 |
| 378 | 2025-06-30 10:53:58 | macroscale | 4 | 161450 | 69 | 48.236 | 3347.1 |
| 377 | 2025-06-29 02:08:45 | macroscale | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 376 | 2025-06-10 01:01:50 | macroscale | 4 | 161450 | 69 | 65.850 | 2451.8 |
| 375 | 2025-06-08 18:31:19 | macroscale | 4 | 161450 | 69 | 30.830 | 5236.8 |
| 374 | 2025-06-06 01:03:41 | macroscale | 2 | 108824 | 4 | 11.406 | 9540.9 |
| 373 | 2025-05-30 12:35:13 | macroscale | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 372 | 2025-05-28 06:16:49 | macroscale | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 371 | 2025-05-26 10:46:14 | macroscale | 3 | 140603 | 11 | 25.830 | 5443.4 |
| 370 | 2025-05-26 00:53:52 | macroscale | 1 | 67641 | 3 | 5.016 | 13485.0 |
| 369 | 2025-05-16 16:58:22 | macroscale | 4 | 161450 | 69 | 77.973 | 2070.6 |
| 368 | 2025-05-11 15:28:49 | macroscale | 2 | 108824 | 4 | 3.860 | 28192.7 |
| 367 | 2025-05-09 14:32:59 | macroscale | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 366 | 2025-05-08 16:00:57 | macroscale | 3 | 140603 | 11 | 26.563 | 5293.2 |
| 365 | 2025-05-06 08:53:47 | macroscale | 4 | 161450 | 69 | 52.113 | 3098.1 |
| 364 | 2025-05-05 09:40:11 | macroscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 363 | 2025-04-30 14:30:25 | macroscale | 4 | 161450 | 69 | 64.130 | 2517.5 |
| 362 | 2025-04-08 00:26:58 | macroscale | 4 | 161450 | 69 | 43.986 | 3670.5 |
| 361 | 2025-04-06 04:15:08 | macroscale | 4 | 161450 | 69 | 61.003 | 2646.6 |
| 360 | 2025-04-05 12:48:23 | macroscale | 4 | 161450 | 69 | 12.360 | 13062.3 |
| 359 | 2025-04-04 00:05:58 | macroscale | 4 | 161450 | 69 | 80.816 | 1997.7 |
| 358 | 2025-03-27 10:40:00 | macroscale | 1 | 67641 | 3 | 4.533 | 14921.9 |
| 357 | 2025-03-26 09:59:30 | macroscale | 4 | 161450 | 69 | 42.660 | 3784.6 |
| 356 | 2025-03-26 08:50:15 | macroscale | 3 | 140603 | 11 | 27.423 | 5127.2 |
| 355 | 2025-03-25 04:53:54 | macroscale | 1 | 67641 | 3 | 6.033 | 11211.8 |
| 354 | 2025-03-23 00:23:26 | macroscale | 1 | 67641 | 3 | 3.000 | 22547.0 |
| 353 | 2025-03-15 18:11:19 | macroscale | 4 | 161450 | 69 | 73.223 | 2204.9 |
| 352 | 2025-03-15 18:11:17 | macroscale | 3 | 140603 | 11 | 40.440 | 3476.8 |
| 351 | 2025-03-08 00:18:31 | macroscale | 1 | 67641 | 3 | 3.080 | 21961.4 |
| 350 | 2025-02-26 04:46:33 | macroscale | 2 | 108824 | 4 | 14.250 | 7636.8 |
| 349 | 2025-02-23 11:31:09 | macroscale | 1 | 67641 | 3 | 5.873 | 11517.3 |
| 348 | 2025-02-21 16:50:04 | macroscale | 3 | 140603 | 11 | 29.553 | 4757.7 |
| 347 | 2025-02-19 10:26:36 | macroscale | 2 | 108824 | 4 | 15.093 | 7210.2 |
| 346 | 2025-02-19 10:23:01 | macroscale | 1 | 67641 | 3 | 8.593 | 7871.6 |
| 345 | 2025-02-17 07:26:18 | macroscale | 3 | 140603 | 11 | 48.173 | 2918.7 |
| 344 | 2025-02-15 01:38:36 | macroscale | 2 | 108824 | 4 | 17.140 | 6349.1 |
| 343 | 2025-02-11 17:19:50 | macroscale | 4 | 161450 | 69 | 84.800 | 1903.9 |
| 342 | 2025-02-11 17:19:51 | macroscale | 3 | 140603 | 11 | 57.000 | 2466.7 |
| 341 | 2025-02-11 17:19:50 | macroscale | 2 | 108824 | 4 | 30.406 | 3579.0 |
| 340 | 2025-02-11 17:16:53 | macroscale | 1 | 67641 | 3 | 8.220 | 8228.8 |
| 339 | 2025-01-29 22:14:41 | macroscale | 3 | 140603 | 11 | 21.813 | 6445.8 |
| 338 | 2025-01-29 20:44:07 | macroscale | 4 | 161450 | 69 | 76.443 | 2112.0 |
| 337 | 2025-01-29 20:44:37 | macroscale | 3 | 140603 | 11 | 30.143 | 4664.5 |