History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"efficiently"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 420 | 2025-11-05 06:00:47 | efficiently | 5 | 164607 | 142 | 14.656 | 11231.4 |
| 419 | 2025-11-05 02:06:45 | efficiently | 5 | 164607 | 142 | 12.436 | 13236.3 |
| 418 | 2025-11-05 01:11:14 | efficiently | 4 | 148819 | 45 | 8.153 | 18253.3 |
| 417 | 2025-11-04 16:56:40 | efficiently | 1 | 49908 | 1 | 0.903 | 55269.1 |
| 416 | 2025-11-04 10:24:47 | efficiently | 5 | 164607 | 142 | 12.466 | 13204.5 |
| 415 | 2025-10-21 11:26:49 | efficiently | 1 | 49908 | 1 | 2.156 | 23148.4 |
| 414 | 2025-10-20 06:52:57 | efficiently | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 413 | 2025-10-04 03:04:04 | efficiently | 2 | 86808 | 6 | 2.313 | 37530.5 |
| 412 | 2025-09-17 07:19:18 | efficiently | 5 | 164607 | 142 | 14.830 | 11099.6 |
| 411 | 2025-09-12 14:40:51 | efficiently | 4 | 148819 | 45 | 8.390 | 17737.7 |
| 410 | 2025-09-11 05:37:54 | efficiently | 2 | 86808 | 6 | 2.356 | 36845.5 |
| 409 | 2025-09-09 16:57:55 | efficiently | 3 | 121633 | 8 | 4.310 | 28221.1 |
| 408 | 2025-09-07 05:36:04 | efficiently | 2 | 86808 | 6 | 2.080 | 41734.6 |
| 407 | 2025-09-04 09:23:44 | efficiently | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 406 | 2025-09-03 03:53:05 | efficiently | 1 | 49908 | 1 | 1.250 | 39926.4 |
| 405 | 2025-08-20 09:16:36 | efficiently | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 404 | 2025-08-14 20:21:59 | efficiently | 1 | 49908 | 1 | 3.796 | 13147.5 |
| 403 | 2025-08-11 04:31:59 | efficiently | 2 | 86808 | 6 | 8.296 | 10463.8 |
| 402 | 2025-08-10 23:40:18 | efficiently | 3 | 121633 | 8 | 10.736 | 11329.5 |
| 401 | 2025-07-29 01:08:28 | efficiently | 1 | 49908 | 1 | 1.953 | 25554.5 |
| 400 | 2025-07-25 19:50:01 | efficiently | 2 | 86808 | 6 | 2.266 | 38308.9 |
| 399 | 2025-07-25 19:18:54 | efficiently | 3 | 121633 | 8 | 5.220 | 23301.3 |
| 398 | 2025-07-25 09:28:52 | efficiently | 1 | 49908 | 1 | 3.186 | 15664.8 |
| 397 | 2025-07-24 04:33:05 | efficiently | 1 | 49908 | 1 | 5.703 | 8751.2 |
| 396 | 2025-07-22 11:02:34 | efficiently | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 395 | 2025-07-14 16:48:47 | efficiently | 4 | 148819 | 45 | 45.686 | 3257.4 |
| 394 | 2025-07-14 06:28:22 | efficiently | 4 | 148819 | 45 | 43.566 | 3415.9 |
| 393 | 2025-07-13 12:10:40 | efficiently | 4 | 148819 | 45 | 26.846 | 5543.4 |
| 392 | 2025-07-10 01:59:39 | efficiently | 4 | 148819 | 45 | 46.533 | 3198.1 |
| 391 | 2025-07-05 17:00:25 | efficiently | 4 | 148819 | 45 | 47.940 | 3104.3 |
| 390 | 2025-07-05 06:13:25 | efficiently | 2 | 86808 | 6 | 12.280 | 7069.1 |
| 389 | 2025-07-03 21:59:42 | efficiently | 1 | 49908 | 1 | 3.970 | 12571.3 |
| 388 | 2025-07-02 19:01:55 | efficiently | 5 | 164607 | 142 | 66.036 | 2492.7 |
| 387 | 2025-07-02 01:50:36 | efficiently | 1 | 49908 | 1 | 2.156 | 23148.4 |
| 386 | 2025-06-29 20:37:34 | efficiently | 5 | 164607 | 142 | 42.830 | 3843.3 |
| 385 | 2025-06-26 09:24:26 | efficiently | 1 | 49908 | 1 | 2.373 | 21031.6 |
| 384 | 2025-06-19 03:34:12 | efficiently | 5 | 164607 | 142 | 67.206 | 2449.3 |
| 383 | 2025-06-18 10:16:32 | efficiently | 5 | 164607 | 142 | 87.630 | 1878.4 |
| 382 | 2025-06-15 23:16:23 | efficiently | 5 | 164607 | 142 | 55.546 | 2963.4 |
| 381 | 2025-06-04 07:57:30 | efficiently | 1 | 49908 | 1 | 1.970 | 25334.0 |
| 380 | 2025-05-30 04:08:55 | efficiently | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 379 | 2025-05-28 03:06:28 | efficiently | 5 | 164607 | 142 | 13.716 | 12001.1 |
| 378 | 2025-05-27 01:38:54 | efficiently | 1 | 49908 | 1 | 1.906 | 26184.7 |
| 377 | 2025-05-26 12:31:15 | efficiently | 1 | 49908 | 1 | 4.500 | 11090.7 |
| 376 | 2025-05-24 21:01:21 | efficiently | 5 | 164607 | 142 | 62.393 | 2638.2 |
| 375 | 2025-05-22 09:06:08 | efficiently | 1 | 49908 | 1 | 3.843 | 12986.7 |
| 374 | 2025-05-18 10:14:56 | efficiently | 5 | 164607 | 142 | 58.516 | 2813.0 |
| 373 | 2025-05-17 23:34:24 | efficiently | 5 | 164607 | 142 | 70.676 | 2329.0 |
| 372 | 2025-05-14 23:10:11 | efficiently | 5 | 164607 | 142 | 31.986 | 5146.2 |
| 371 | 2025-05-14 04:07:42 | efficiently | 5 | 164607 | 142 | 56.956 | 2890.1 |
| 370 | 2025-05-12 20:15:06 | efficiently | 5 | 164607 | 142 | 13.313 | 12364.4 |
| 369 | 2025-04-18 07:07:58 | efficiently | 4 | 148819 | 45 | 22.796 | 6528.3 |
| 368 | 2025-04-17 21:08:49 | efficiently | 4 | 148819 | 45 | 26.266 | 5665.8 |
| 367 | 2025-04-14 12:23:44 | efficiently | 1 | 49908 | 1 | 3.906 | 12777.3 |
| 366 | 2025-04-14 05:50:23 | efficiently | 4 | 148819 | 45 | 42.633 | 3490.7 |
| 365 | 2025-04-09 01:11:45 | efficiently | 1 | 49908 | 1 | 5.936 | 8407.7 |
| 364 | 2025-04-08 08:23:01 | efficiently | 3 | 121633 | 8 | 4.580 | 26557.4 |
| 363 | 2025-04-07 06:03:53 | efficiently | 2 | 86808 | 6 | 2.220 | 39102.7 |
| 362 | 2025-04-03 19:59:18 | efficiently | 1 | 49908 | 1 | 3.343 | 14929.1 |
| 361 | 2025-03-28 17:47:44 | efficiently | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 360 | 2025-03-28 08:30:04 | efficiently | 4 | 148819 | 45 | 58.716 | 2534.6 |
| 359 | 2025-03-27 02:02:43 | efficiently | 4 | 148819 | 45 | 63.690 | 2336.6 |
| 358 | 2025-03-25 21:14:18 | efficiently | 2 | 86808 | 6 | 11.266 | 7705.3 |
| 357 | 2025-03-23 02:24:24 | efficiently | 4 | 148819 | 45 | 49.390 | 3013.1 |
| 356 | 2025-03-19 22:15:39 | efficiently | 1 | 49908 | 1 | 3.093 | 16135.8 |
| 355 | 2025-03-16 16:08:59 | efficiently | 4 | 148819 | 45 | 55.426 | 2685.0 |
| 354 | 2025-03-09 23:28:22 | efficiently | 1 | 49908 | 1 | 5.483 | 9102.3 |
| 353 | 2025-02-24 16:20:51 | efficiently | 1 | 49908 | 1 | 3.703 | 13477.7 |
| 352 | 2025-02-23 06:33:14 | efficiently | 2 | 86808 | 6 | 16.250 | 5342.0 |
| 351 | 2025-02-19 20:25:43 | efficiently | 2 | 86808 | 6 | 11.296 | 7684.8 |
| 350 | 2025-02-19 18:05:10 | efficiently | 4 | 148819 | 45 | 44.516 | 3343.0 |
| 349 | 2025-02-19 13:01:12 | efficiently | 4 | 148819 | 45 | 45.410 | 3277.2 |
| 348 | 2025-02-19 09:52:53 | efficiently | 5 | 164607 | 142 | 71.396 | 2305.5 |
| 347 | 2025-02-19 09:52:50 | efficiently | 4 | 148819 | 45 | 60.066 | 2477.6 |
| 346 | 2025-02-19 09:52:37 | efficiently | 2 | 86808 | 6 | 5.530 | 15697.6 |
| 345 | 2025-02-19 09:49:16 | efficiently | 1 | 49908 | 1 | 3.046 | 16384.8 |
| 344 | 2025-02-19 01:08:21 | efficiently | 3 | 121633 | 8 | 25.003 | 4864.7 |
| 343 | 2025-02-19 01:07:41 | efficiently | 4 | 148819 | 45 | 26.720 | 5569.6 |
| 342 | 2025-02-17 08:59:01 | efficiently | 3 | 121633 | 8 | 25.330 | 4801.9 |
| 341 | 2025-02-17 08:59:06 | efficiently | 2 | 86808 | 6 | 10.906 | 7959.7 |
| 340 | 2025-02-17 08:54:47 | efficiently | 1 | 49908 | 1 | 2.140 | 23321.5 |
| 339 | 2025-02-13 19:59:19 | efficiently | 3 | 121633 | 8 | 36.846 | 3301.1 |
| 338 | 2025-02-08 08:21:50 | efficiently | 1 | 49908 | 1 | 6.156 | 8107.2 |
| 337 | 2025-02-07 02:03:14 | efficiently | 3 | 121633 | 8 | 19.610 | 6202.6 |
| 336 | 2025-01-31 16:30:16 | efficiently | 4 | 148819 | 45 | 44.703 | 3329.1 |
| 335 | 2025-01-30 11:07:13 | efficiently | 4 | 148819 | 45 | 44.406 | 3351.3 |
| 334 | 2025-01-30 11:06:28 | efficiently | 3 | 121633 | 8 | 23.813 | 5107.8 |
| 333 | 2025-01-30 03:51:14 | efficiently | 4 | 148819 | 45 | 19.453 | 7650.2 |
| 332 | 2025-01-25 09:56:14 | efficiently | 1 | 49908 | 1 | 3.750 | 13308.8 |
| 331 | 2025-01-20 00:01:42 | efficiently | 4 | 148819 | 45 | 56.103 | 2652.6 |
| 330 | 2025-01-18 17:41:50 | efficiently | 2 | 86808 | 6 | 11.503 | 7546.6 |
| 329 | 2025-01-17 04:33:18 | efficiently | 4 | 148819 | 45 | 30.893 | 4817.2 |
| 328 | 2025-01-14 11:23:00 | efficiently | 3 | 121633 | 8 | 26.810 | 4536.9 |
| 327 | 2025-01-07 05:25:59 | efficiently | 1 | 49908 | 1 | 3.780 | 13203.2 |
| 326 | 2025-01-03 17:37:23 | efficiently | 3 | 121633 | 8 | 12.953 | 9390.3 |
| 325 | 2025-01-03 17:37:10 | efficiently | 2 | 86808 | 6 | 11.063 | 7846.7 |
| 324 | 2024-12-31 05:04:16 | efficiently | 1 | 49908 | 1 | 2.906 | 17174.1 |
| 323 | 2024-12-30 14:49:38 | efficiently | 4 | 148819 | 45 | 37.830 | 3933.9 |
| 322 | 2024-12-30 14:49:28 | efficiently | 3 | 121633 | 8 | 21.953 | 5540.6 |
| 321 | 2024-12-30 14:49:29 | efficiently | 2 | 86808 | 6 | 12.953 | 6701.8 |