History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exactitude"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 435 | 2026-04-21 11:57:30 | exactitude | 2 | 108824 | 3 | 13.550 | 8031.3 |
| 434 | 2026-04-19 17:50:47 | exactitude | 1 | 67641 | 2 | 4.783 | 14142.0 |
| 433 | 2026-04-06 03:08:21 | exactitude | 1 | 67641 | 2 | 8.046 | 8406.8 |
| 432 | 2026-04-02 10:08:56 | exactitude | 5 | 173545 | 272 | 94.456 | 1837.3 |
| 431 | 2026-04-01 08:55:24 | exactitude | 1 | 67641 | 2 | 7.250 | 9329.8 |
| 430 | 2026-03-26 18:11:25 | exactitude | 5 | 173545 | 272 | 125.286 | 1385.2 |
| 429 | 2026-03-20 03:06:20 | exactitude | 2 | 108824 | 3 | 12.780 | 8515.2 |
| 428 | 2026-03-19 03:01:42 | exactitude | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 427 | 2026-03-17 21:26:32 | exactitude | 4 | 161450 | 51 | 10.546 | 15309.1 |
| 426 | 2026-03-14 22:01:24 | exactitude | 4 | 161450 | 51 | 52.316 | 3086.1 |
| 425 | 2026-03-14 22:00:44 | exactitude | 4 | 161450 | 51 | 45.390 | 3557.0 |
| 424 | 2026-03-14 22:00:32 | exactitude | 4 | 161450 | 51 | 49.110 | 3287.5 |
| 423 | 2026-03-14 09:12:18 | exactitude | 4 | 161450 | 51 | 55.923 | 2887.0 |
| 422 | 2026-03-14 08:11:17 | exactitude | 3 | 140603 | 15 | 15.393 | 9134.2 |
| 421 | 2026-03-13 16:12:51 | exactitude | 2 | 108824 | 3 | 11.560 | 9413.8 |
| 420 | 2026-03-11 15:53:49 | exactitude | 5 | 173545 | 272 | 17.800 | 9749.7 |
| 419 | 2026-03-10 09:17:08 | exactitude | 2 | 108824 | 3 | 3.096 | 35149.9 |
| 418 | 2026-03-10 06:09:28 | exactitude | 3 | 140603 | 15 | 6.326 | 22226.2 |
| 417 | 2026-03-05 03:57:41 | exactitude | 2 | 108824 | 3 | 2.643 | 41174.4 |
| 416 | 2026-03-01 23:40:39 | exactitude | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 415 | 2026-02-26 23:48:07 | exactitude | 5 | 173545 | 272 | 19.096 | 9088.0 |
| 414 | 2026-02-26 23:48:03 | exactitude | 5 | 173545 | 272 | 17.766 | 9768.4 |
| 413 | 2026-02-26 01:21:04 | exactitude | 5 | 173545 | 272 | 18.000 | 9641.4 |
| 412 | 2026-02-25 02:57:24 | exactitude | 2 | 108824 | 3 | 3.580 | 30397.8 |
| 411 | 2026-02-22 18:53:07 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 410 | 2026-02-22 07:33:06 | exactitude | 4 | 161450 | 51 | 11.733 | 13760.3 |
| 409 | 2026-02-22 07:32:49 | exactitude | 2 | 108824 | 3 | 3.003 | 36238.4 |
| 408 | 2026-02-21 07:35:01 | exactitude | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 407 | 2026-02-19 22:20:04 | exactitude | 5 | 173545 | 272 | 21.830 | 7949.8 |
| 406 | 2026-02-17 12:12:20 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 405 | 2026-02-15 05:56:47 | exactitude | 5 | 173545 | 272 | 36.126 | 4803.9 |
| 404 | 2026-02-07 00:06:13 | exactitude | 1 | 67641 | 2 | 1.346 | 50253.3 |
| 403 | 2026-02-06 19:49:02 | exactitude | 1 | 67641 | 2 | 1.736 | 38963.7 |
| 402 | 2026-02-06 11:43:06 | exactitude | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 401 | 2026-02-02 13:50:27 | exactitude | 1 | 67641 | 2 | 2.373 | 28504.4 |
| 400 | 2026-02-01 13:59:08 | exactitude | 2 | 108824 | 3 | 2.890 | 37655.4 |
| 399 | 2026-02-01 10:59:11 | exactitude | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 398 | 2026-02-01 02:42:24 | exactitude | 1 | 67641 | 2 | 1.860 | 36366.1 |
| 397 | 2026-01-31 21:02:15 | exactitude | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 396 | 2026-01-30 23:37:56 | exactitude | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 395 | 2026-01-30 15:23:39 | exactitude | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 394 | 2026-01-30 07:24:19 | exactitude | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 393 | 2026-01-30 04:06:47 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 392 | 2026-01-28 21:23:00 | exactitude | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 391 | 2026-01-27 20:45:34 | exactitude | 1 | 67641 | 2 | 2.263 | 29890.0 |
| 390 | 2026-01-27 12:32:19 | exactitude | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 389 | 2026-01-27 00:21:06 | exactitude | 1 | 67641 | 2 | 1.106 | 61158.2 |
| 388 | 2026-01-26 20:30:12 | exactitude | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 387 | 2026-01-25 17:24:54 | exactitude | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 386 | 2026-01-09 23:16:38 | exactitude | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 385 | 2026-01-06 10:48:00 | exactitude | 4 | 161450 | 51 | 10.830 | 14907.7 |
| 384 | 2026-01-06 09:58:06 | exactitude | 4 | 161450 | 51 | 41.863 | 3856.6 |
| 383 | 2026-01-05 00:59:23 | exactitude | 1 | 67641 | 2 | 1.970 | 34335.5 |
| 382 | 2026-01-04 22:46:43 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 381 | 2026-01-04 12:45:15 | exactitude | 4 | 161450 | 51 | 12.596 | 12817.6 |
| 380 | 2026-01-01 18:37:22 | exactitude | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 379 | 2025-12-29 06:27:41 | exactitude | 4 | 161450 | 51 | 12.813 | 12600.5 |
| 378 | 2025-12-27 18:48:07 | exactitude | 4 | 161450 | 51 | 10.563 | 15284.5 |
| 377 | 2025-12-27 17:17:41 | exactitude | 3 | 140603 | 15 | 5.843 | 24063.5 |
| 376 | 2025-12-27 17:16:01 | exactitude | 3 | 140603 | 15 | 5.596 | 25125.6 |
| 375 | 2025-12-24 19:07:08 | exactitude | 2 | 108824 | 3 | 2.956 | 36814.6 |
| 374 | 2025-12-13 01:59:23 | exactitude | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 373 | 2025-12-12 23:13:19 | exactitude | 1 | 67641 | 2 | 2.093 | 32317.7 |
| 372 | 2025-12-11 10:40:59 | exactitude | 2 | 108824 | 3 | 3.186 | 34156.9 |
| 371 | 2025-11-24 19:48:20 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 370 | 2025-11-19 03:38:06 | exactitude | 1 | 67641 | 2 | 1.153 | 58665.2 |
| 369 | 2025-11-18 03:34:11 | exactitude | 1 | 67641 | 2 | 2.250 | 30062.7 |
| 368 | 2025-11-11 00:31:17 | exactitude | 4 | 161450 | 51 | 9.706 | 16634.0 |
| 367 | 2025-11-07 01:05:44 | exactitude | 4 | 161450 | 51 | 10.186 | 15850.2 |
| 366 | 2025-11-04 13:33:27 | exactitude | 4 | 161450 | 51 | 11.690 | 13810.9 |
| 365 | 2025-10-22 02:08:57 | exactitude | 1 | 67641 | 2 | 2.890 | 23405.2 |
| 364 | 2025-10-19 05:33:51 | exactitude | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 363 | 2025-10-15 12:14:23 | exactitude | 2 | 108824 | 3 | 2.640 | 41221.2 |
| 362 | 2025-09-28 06:11:03 | exactitude | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 361 | 2025-09-23 11:44:25 | exactitude | 2 | 108824 | 3 | 2.936 | 37065.4 |
| 360 | 2025-09-17 04:44:28 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 359 | 2025-08-29 10:05:21 | exactitude | 2 | 108824 | 3 | 2.953 | 36852.0 |
| 358 | 2025-08-28 00:34:12 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 357 | 2025-08-26 19:46:29 | exactitude | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 356 | 2025-08-09 21:59:29 | exactitude | 3 | 140603 | 15 | 13.890 | 10122.6 |
| 355 | 2025-08-09 12:04:29 | exactitude | 3 | 140603 | 15 | 6.610 | 21271.3 |
| 354 | 2025-08-08 23:13:45 | exactitude | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 353 | 2025-08-01 13:30:53 | exactitude | 4 | 161450 | 51 | 36.783 | 4389.3 |
| 352 | 2025-07-29 05:05:13 | exactitude | 4 | 161450 | 51 | 28.826 | 5600.8 |
| 351 | 2025-07-28 18:47:26 | exactitude | 3 | 140603 | 15 | 14.203 | 9899.5 |
| 350 | 2025-07-26 14:32:36 | exactitude | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 349 | 2025-07-25 08:40:43 | exactitude | 1 | 67641 | 2 | 3.843 | 17601.1 |
| 348 | 2025-07-24 06:28:45 | exactitude | 1 | 67641 | 2 | 6.843 | 9884.7 |
| 347 | 2025-07-22 11:39:19 | exactitude | 1 | 67641 | 2 | 2.563 | 26391.3 |
| 346 | 2025-07-14 08:15:09 | exactitude | 4 | 161450 | 51 | 58.440 | 2762.7 |
| 345 | 2025-06-26 04:07:55 | exactitude | 1 | 67641 | 2 | 7.873 | 8591.5 |
| 344 | 2025-05-31 07:15:50 | exactitude | 4 | 161450 | 51 | 48.346 | 3339.5 |
| 343 | 2025-05-28 20:22:33 | exactitude | 1 | 67641 | 2 | 4.110 | 16457.7 |
| 342 | 2025-05-26 21:34:00 | exactitude | 1 | 67641 | 2 | 5.640 | 11993.1 |
| 341 | 2025-05-20 09:06:50 | exactitude | 1 | 67641 | 2 | 2.766 | 24454.4 |
| 340 | 2025-04-29 11:16:25 | exactitude | 3 | 140603 | 15 | 15.816 | 8889.9 |
| 339 | 2025-04-29 02:42:00 | exactitude | 4 | 161450 | 51 | 66.503 | 2427.7 |
| 338 | 2025-04-28 23:43:47 | exactitude | 2 | 108824 | 3 | 2.843 | 38277.9 |
| 337 | 2025-04-28 20:07:06 | exactitude | 4 | 161450 | 51 | 12.780 | 12633.0 |
| 336 | 2025-04-26 03:24:36 | exactitude | 4 | 161450 | 51 | 56.206 | 2872.5 |