History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overlearns"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 438 | 2026-02-15 21:07:28 | overlearns | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 437 | 2026-02-15 10:43:04 | overlearns | 1 | 67641 | 3 | 1.283 | 52721.0 |
| 436 | 2026-02-15 10:10:08 | overlearns | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 435 | 2026-02-14 04:24:44 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 434 | 2026-02-14 04:08:28 | overlearns | 1 | 67641 | 3 | 2.186 | 30942.8 |
| 433 | 2026-02-08 04:21:31 | overlearns | 4 | 161450 | 286 | 20.656 | 7816.1 |
| 432 | 2026-02-06 06:14:00 | overlearns | 1 | 67641 | 3 | 1.216 | 55625.8 |
| 431 | 2026-02-05 20:16:15 | overlearns | 2 | 108824 | 11 | 7.860 | 13845.3 |
| 430 | 2026-02-05 05:43:28 | overlearns | 3 | 140603 | 69 | 6.436 | 21846.3 |
| 429 | 2026-02-04 20:52:09 | overlearns | 3 | 140603 | 69 | 6.843 | 20547.0 |
| 428 | 2026-02-03 15:33:25 | overlearns | 2 | 108824 | 11 | 4.640 | 23453.4 |
| 427 | 2026-02-02 13:40:17 | overlearns | 4 | 161450 | 286 | 14.970 | 10784.9 |
| 426 | 2026-02-02 05:39:40 | overlearns | 4 | 161450 | 286 | 10.173 | 15870.4 |
| 425 | 2026-02-02 05:39:20 | overlearns | 4 | 161450 | 286 | 11.110 | 14532.0 |
| 424 | 2026-02-02 04:27:07 | overlearns | 3 | 140603 | 69 | 6.923 | 20309.5 |
| 423 | 2026-01-31 20:31:34 | overlearns | 4 | 161450 | 286 | 35.970 | 4488.5 |
| 422 | 2026-01-31 19:58:10 | overlearns | 4 | 161450 | 286 | 20.016 | 8066.0 |
| 421 | 2026-01-30 12:43:28 | overlearns | 3 | 140603 | 69 | 6.576 | 21381.2 |
| 420 | 2026-01-25 14:02:42 | overlearns | 3 | 140603 | 69 | 18.766 | 7492.4 |
| 419 | 2026-01-24 17:31:56 | overlearns | 2 | 108824 | 11 | 3.813 | 28540.3 |
| 418 | 2026-01-23 10:51:02 | overlearns | 3 | 140603 | 69 | 17.173 | 8187.4 |
| 417 | 2026-01-21 17:58:37 | overlearns | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 416 | 2026-01-08 14:15:47 | overlearns | 4 | 161450 | 286 | 78.376 | 2059.9 |
| 415 | 2026-01-07 08:29:40 | overlearns | 4 | 161450 | 286 | 11.813 | 13667.1 |
| 414 | 2026-01-04 13:52:51 | overlearns | 2 | 108824 | 11 | 3.626 | 30012.1 |
| 413 | 2026-01-02 22:47:43 | overlearns | 2 | 108824 | 11 | 3.000 | 36274.7 |
| 412 | 2025-12-31 06:28:02 | overlearns | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 411 | 2025-12-31 04:53:31 | overlearns | 1 | 67641 | 3 | 2.280 | 29667.1 |
| 410 | 2025-12-30 03:25:44 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 409 | 2025-12-28 14:49:13 | overlearns | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 408 | 2025-12-28 14:42:16 | overlearns | 1 | 67641 | 3 | 1.263 | 53555.8 |
| 407 | 2025-12-28 13:36:39 | overlearns | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 406 | 2025-12-27 18:06:11 | overlearns | 3 | 140603 | 69 | 6.563 | 21423.6 |
| 405 | 2025-12-27 05:11:11 | overlearns | 1 | 67641 | 3 | 1.330 | 50857.9 |
| 404 | 2025-12-21 09:22:26 | overlearns | 2 | 108824 | 11 | 3.470 | 31361.4 |
| 403 | 2025-12-12 12:27:45 | overlearns | 3 | 140603 | 69 | 24.796 | 5670.4 |
| 402 | 2025-11-29 23:42:12 | overlearns | 3 | 140603 | 69 | 6.440 | 21832.8 |
| 401 | 2025-11-28 04:37:30 | overlearns | 4 | 161450 | 286 | 10.140 | 15922.1 |
| 400 | 2025-11-24 14:41:30 | overlearns | 2 | 108824 | 11 | 3.140 | 34657.3 |
| 399 | 2025-11-23 10:32:03 | overlearns | 2 | 108824 | 11 | 3.093 | 35184.0 |
| 398 | 2025-11-21 12:59:53 | overlearns | 3 | 140603 | 69 | 6.643 | 21165.6 |
| 397 | 2025-11-16 02:23:44 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 396 | 2025-10-30 12:34:10 | overlearns | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 395 | 2025-10-27 05:11:44 | overlearns | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 394 | 2025-10-24 20:26:40 | overlearns | 1 | 67641 | 3 | 5.343 | 12659.7 |
| 393 | 2025-09-09 05:32:58 | overlearns | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 392 | 2025-08-27 10:57:05 | overlearns | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 391 | 2025-08-24 22:14:20 | overlearns | 4 | 161450 | 286 | 28.500 | 5664.9 |
| 390 | 2025-08-22 17:41:09 | overlearns | 4 | 161450 | 286 | 25.923 | 6228.1 |
| 389 | 2025-08-19 10:20:41 | overlearns | 2 | 108824 | 11 | 22.266 | 4887.5 |
| 388 | 2025-08-19 06:03:26 | overlearns | 2 | 108824 | 11 | 15.970 | 6814.3 |
| 387 | 2025-08-18 22:49:37 | overlearns | 3 | 140603 | 69 | 17.470 | 8048.3 |
| 386 | 2025-08-18 22:07:51 | overlearns | 4 | 161450 | 286 | 36.766 | 4391.3 |
| 385 | 2025-08-17 20:16:37 | overlearns | 1 | 67641 | 3 | 5.006 | 13512.0 |
| 384 | 2025-08-16 20:43:27 | overlearns | 4 | 161450 | 286 | 41.160 | 3922.5 |
| 383 | 2025-08-16 19:24:52 | overlearns | 3 | 140603 | 69 | 24.580 | 5720.2 |
| 382 | 2025-08-16 19:22:53 | overlearns | 2 | 108824 | 11 | 22.080 | 4928.6 |
| 381 | 2025-08-13 01:38:35 | overlearns | 1 | 67641 | 3 | 5.486 | 12329.7 |
| 380 | 2025-08-09 11:13:36 | overlearns | 1 | 67641 | 3 | 3.610 | 18737.1 |
| 379 | 2025-08-01 07:26:51 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 378 | 2025-07-26 19:40:06 | overlearns | 3 | 140603 | 69 | 17.500 | 8034.5 |
| 377 | 2025-07-26 15:05:02 | overlearns | 3 | 140603 | 69 | 30.080 | 4674.3 |
| 376 | 2025-07-26 14:08:51 | overlearns | 2 | 108824 | 11 | 3.906 | 27860.7 |
| 375 | 2025-07-23 03:08:00 | overlearns | 1 | 67641 | 3 | 3.513 | 19254.5 |
| 374 | 2025-07-18 23:44:47 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 373 | 2025-07-11 04:45:49 | overlearns | 1 | 67641 | 3 | 5.686 | 11896.1 |
| 372 | 2025-07-02 06:47:00 | overlearns | 1 | 67641 | 3 | 6.970 | 9704.6 |
| 371 | 2025-06-22 04:14:40 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 370 | 2025-06-19 00:28:39 | overlearns | 2 | 108824 | 11 | 15.126 | 7194.5 |
| 369 | 2025-06-16 11:54:51 | overlearns | 1 | 67641 | 3 | 7.233 | 9351.7 |
| 368 | 2025-06-14 01:52:45 | overlearns | 2 | 108824 | 11 | 22.263 | 4888.1 |
| 367 | 2025-06-13 22:57:22 | overlearns | 3 | 140603 | 69 | 46.040 | 3053.9 |
| 366 | 2025-06-13 13:47:14 | overlearns | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 365 | 2025-06-04 20:34:13 | overlearns | 1 | 67641 | 3 | 3.313 | 20416.8 |
| 364 | 2025-05-31 14:15:02 | overlearns | 1 | 67641 | 3 | 3.063 | 22083.3 |
| 363 | 2025-05-31 04:09:36 | overlearns | 1 | 67641 | 3 | 8.296 | 8153.4 |
| 362 | 2025-05-30 09:39:22 | overlearns | 1 | 67641 | 3 | 2.606 | 25955.9 |
| 361 | 2025-05-29 05:29:19 | overlearns | 1 | 67641 | 3 | 5.190 | 13032.9 |
| 360 | 2025-05-27 14:42:36 | overlearns | 1 | 67641 | 3 | 8.283 | 8166.2 |
| 359 | 2025-05-22 15:23:12 | overlearns | 4 | 161450 | 286 | 47.596 | 3392.1 |
| 358 | 2025-05-17 12:58:20 | overlearns | 4 | 161450 | 286 | 65.363 | 2470.1 |
| 357 | 2025-05-16 10:12:06 | overlearns | 1 | 67641 | 3 | 7.893 | 8569.7 |
| 356 | 2025-05-14 21:36:17 | overlearns | 4 | 161450 | 286 | 67.876 | 2378.6 |
| 355 | 2025-05-10 02:46:54 | overlearns | 4 | 161450 | 286 | 45.706 | 3532.4 |
| 354 | 2025-05-10 02:46:28 | overlearns | 4 | 161450 | 286 | 70.566 | 2287.9 |
| 353 | 2025-05-08 14:56:39 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 352 | 2025-05-03 01:09:20 | overlearns | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 351 | 2025-04-29 05:53:44 | overlearns | 3 | 140603 | 69 | 25.203 | 5578.8 |
| 350 | 2025-04-26 06:41:30 | overlearns | 1 | 67641 | 3 | 8.140 | 8309.7 |
| 349 | 2025-04-25 09:08:40 | overlearns | 3 | 140603 | 69 | 11.733 | 11983.6 |
| 348 | 2025-04-24 08:55:58 | overlearns | 3 | 140603 | 69 | 30.940 | 4544.4 |
| 347 | 2025-04-22 05:05:26 | overlearns | 4 | 161450 | 286 | 17.033 | 9478.7 |
| 346 | 2025-04-16 15:38:29 | overlearns | 4 | 161450 | 286 | 42.046 | 3839.8 |
| 345 | 2025-04-14 16:55:44 | overlearns | 1 | 67641 | 3 | 5.453 | 12404.4 |
| 344 | 2025-04-12 16:45:44 | overlearns | 2 | 108824 | 11 | 3.060 | 35563.4 |
| 343 | 2025-04-06 11:19:13 | overlearns | 1 | 67641 | 3 | 8.216 | 8232.8 |
| 342 | 2025-04-06 06:33:53 | overlearns | 1 | 67641 | 3 | 8.203 | 8245.9 |
| 341 | 2025-04-03 21:03:38 | overlearns | 4 | 161450 | 286 | 67.156 | 2404.1 |
| 340 | 2025-04-02 10:25:08 | overlearns | 2 | 108824 | 11 | 10.343 | 10521.5 |
| 339 | 2025-03-31 21:13:47 | overlearns | 1 | 67641 | 3 | 5.456 | 12397.5 |