History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"epsilon"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 448 | 2025-12-27 20:24:49 | epsilon | 1 | 69583 | 3 | 1.313 | 52995.4 |
| 447 | 2025-12-26 01:28:54 | epsilon | 1 | 69583 | 3 | 5.156 | 13495.5 |
| 446 | 2025-12-26 01:28:46 | epsilon | 1 | 69583 | 3 | 8.173 | 8513.8 |
| 445 | 2025-12-20 15:48:51 | epsilon | 1 | 69583 | 3 | 2.016 | 34515.4 |
| 444 | 2025-12-20 15:47:21 | epsilon | 1 | 69583 | 3 | 1.156 | 60192.9 |
| 443 | 2025-12-14 01:16:02 | epsilon | 1 | 69583 | 3 | 5.873 | 11847.9 |
| 442 | 2025-12-13 13:44:38 | epsilon | 4 | 151207 | 777 | 28.283 | 5346.2 |
| 441 | 2025-12-13 06:58:49 | epsilon | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 440 | 2025-12-12 16:16:54 | epsilon | 4 | 151207 | 777 | 62.206 | 2430.7 |
| 439 | 2025-12-12 10:01:00 | epsilon | 4 | 151207 | 777 | 43.440 | 3480.8 |
| 438 | 2025-12-12 04:38:26 | epsilon | 4 | 151207 | 777 | 42.596 | 3549.8 |
| 437 | 2025-12-12 02:44:02 | epsilon | 4 | 151207 | 777 | 58.966 | 2564.3 |
| 436 | 2025-12-12 02:41:40 | epsilon | 4 | 151207 | 777 | 50.503 | 2994.0 |
| 435 | 2025-12-09 06:35:56 | epsilon | 4 | 151207 | 777 | 10.923 | 13843.0 |
| 434 | 2025-12-08 13:00:53 | epsilon | 4 | 151207 | 777 | 22.080 | 6848.1 |
| 433 | 2025-12-06 12:02:58 | epsilon | 1 | 69583 | 3 | 1.216 | 57222.9 |
| 432 | 2025-12-05 07:08:56 | epsilon | 1 | 69583 | 3 | 1.703 | 40859.1 |
| 431 | 2025-12-04 01:03:16 | epsilon | 1 | 69583 | 3 | 1.236 | 56296.9 |
| 430 | 2025-11-24 21:47:20 | epsilon | 4 | 151207 | 777 | 15.253 | 9913.3 |
| 429 | 2025-11-22 16:31:56 | epsilon | 1 | 69583 | 3 | 1.156 | 60192.9 |
| 428 | 2025-11-20 07:14:02 | epsilon | 4 | 151207 | 777 | 21.530 | 7023.1 |
| 427 | 2025-11-19 06:17:02 | epsilon | 4 | 151207 | 777 | 11.503 | 13145.0 |
| 426 | 2025-11-16 04:55:31 | epsilon | 4 | 151207 | 777 | 12.330 | 12263.3 |
| 425 | 2025-11-14 02:04:30 | epsilon | 3 | 134027 | 65 | 6.456 | 20760.1 |
| 424 | 2025-11-13 11:56:37 | epsilon | 3 | 134027 | 65 | 6.750 | 19855.9 |
| 423 | 2025-11-13 09:32:34 | epsilon | 4 | 151207 | 777 | 10.456 | 14461.3 |
| 422 | 2025-11-11 15:07:01 | epsilon | 4 | 151207 | 777 | 12.280 | 12313.3 |
| 421 | 2025-11-07 00:02:29 | epsilon | 3 | 134027 | 65 | 8.063 | 16622.5 |
| 420 | 2025-11-04 23:36:40 | epsilon | 4 | 151207 | 777 | 13.016 | 11617.0 |
| 419 | 2025-11-04 19:23:52 | epsilon | 2 | 107671 | 7 | 3.173 | 33933.5 |
| 418 | 2025-10-23 15:15:08 | epsilon | 1 | 69583 | 3 | 6.186 | 11248.5 |
| 417 | 2025-10-14 10:26:41 | epsilon | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 416 | 2025-09-15 18:24:09 | epsilon | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 415 | 2025-09-14 22:33:26 | epsilon | 3 | 134027 | 65 | 6.000 | 22337.8 |
| 414 | 2025-09-05 00:22:51 | epsilon | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 413 | 2025-08-28 09:17:38 | epsilon | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 412 | 2025-08-28 00:23:21 | epsilon | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 411 | 2025-08-25 00:40:08 | epsilon | 1 | 69583 | 3 | 2.686 | 25905.8 |
| 410 | 2025-08-04 02:13:54 | epsilon | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 409 | 2025-07-27 19:58:35 | epsilon | 4 | 151207 | 777 | 55.053 | 2746.6 |
| 408 | 2025-07-27 18:55:34 | epsilon | 4 | 151207 | 777 | 40.456 | 3737.6 |
| 407 | 2025-07-27 05:13:21 | epsilon | 4 | 151207 | 777 | 44.360 | 3408.6 |
| 406 | 2025-07-25 08:42:54 | epsilon | 1 | 69583 | 3 | 5.670 | 12272.1 |
| 405 | 2025-07-25 06:36:25 | epsilon | 1 | 69583 | 3 | 2.500 | 27833.2 |
| 404 | 2025-07-24 16:04:56 | epsilon | 1 | 69583 | 3 | 3.203 | 21724.3 |
| 403 | 2025-07-24 02:32:47 | epsilon | 1 | 69583 | 3 | 8.780 | 7925.2 |
| 402 | 2025-07-24 02:10:39 | epsilon | 1 | 69583 | 3 | 3.813 | 18248.9 |
| 401 | 2025-07-22 13:45:20 | epsilon | 4 | 151207 | 777 | 34.223 | 4418.3 |
| 400 | 2025-07-19 16:27:11 | epsilon | 1 | 69583 | 3 | 1.983 | 35089.8 |
| 399 | 2025-07-14 05:26:00 | epsilon | 2 | 107671 | 7 | 16.516 | 6519.2 |
| 398 | 2025-07-10 16:06:15 | epsilon | 1 | 69583 | 3 | 4.343 | 16021.9 |
| 397 | 2025-07-09 00:33:05 | epsilon | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 396 | 2025-07-07 02:19:14 | epsilon | 1 | 69583 | 3 | 5.280 | 13178.6 |
| 395 | 2025-06-22 08:05:07 | epsilon | 1 | 69583 | 3 | 3.140 | 22160.2 |
| 394 | 2025-06-18 09:32:27 | epsilon | 1 | 69583 | 3 | 3.843 | 18106.4 |
| 393 | 2025-06-13 16:42:52 | epsilon | 1 | 69583 | 3 | 1.200 | 57985.8 |
| 392 | 2025-06-06 23:48:33 | epsilon | 1 | 69583 | 3 | 1.140 | 61037.7 |
| 391 | 2025-05-27 23:13:11 | epsilon | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 390 | 2025-05-22 23:49:29 | epsilon | 3 | 134027 | 65 | 6.830 | 19623.3 |
| 389 | 2025-05-22 08:05:55 | epsilon | 1 | 69583 | 3 | 2.956 | 23539.6 |
| 388 | 2025-05-20 11:45:51 | epsilon | 2 | 107671 | 7 | 15.830 | 6801.7 |
| 387 | 2025-05-19 22:27:45 | epsilon | 1 | 69583 | 3 | 8.000 | 8697.9 |
| 386 | 2025-05-18 20:30:52 | epsilon | 1 | 69583 | 3 | 1.096 | 63488.1 |
| 385 | 2025-05-18 04:50:31 | epsilon | 1 | 69583 | 3 | 8.640 | 8053.6 |
| 384 | 2025-05-17 20:10:31 | epsilon | 3 | 134027 | 65 | 34.110 | 3929.3 |
| 383 | 2025-05-16 05:02:28 | epsilon | 3 | 134027 | 65 | 18.546 | 7226.7 |
| 382 | 2025-05-15 20:53:45 | epsilon | 2 | 107671 | 7 | 17.093 | 6299.1 |
| 381 | 2025-05-12 01:26:18 | epsilon | 1 | 69583 | 3 | 6.093 | 11420.2 |
| 380 | 2025-04-25 01:44:56 | epsilon | 1 | 69583 | 3 | 2.500 | 27833.2 |
| 379 | 2025-04-23 14:14:49 | epsilon | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 378 | 2025-04-22 05:09:47 | epsilon | 1 | 69583 | 3 | 2.516 | 27656.2 |
| 377 | 2025-04-15 21:40:36 | epsilon | 1 | 69583 | 3 | 5.393 | 12902.5 |
| 376 | 2025-04-09 18:49:30 | epsilon | 1 | 69583 | 3 | 3.046 | 22844.1 |
| 375 | 2025-04-04 01:19:14 | epsilon | 1 | 69583 | 3 | 3.030 | 22964.7 |
| 374 | 2025-04-02 01:39:16 | epsilon | 1 | 69583 | 3 | 2.906 | 23944.6 |
| 373 | 2025-03-29 02:12:46 | epsilon | 1 | 69583 | 3 | 9.000 | 7731.4 |
| 372 | 2025-03-20 09:56:02 | epsilon | 1 | 69583 | 3 | 5.953 | 11688.7 |
| 371 | 2025-03-13 19:46:34 | epsilon | 1 | 69583 | 3 | 4.296 | 16197.2 |
| 370 | 2025-03-13 10:38:51 | epsilon | 1 | 69583 | 3 | 11.843 | 5875.5 |
| 369 | 2025-02-24 03:56:31 | epsilon | 1 | 69583 | 3 | 3.546 | 19623.0 |
| 368 | 2025-02-10 03:00:42 | epsilon | 1 | 69583 | 3 | 8.703 | 7995.3 |
| 367 | 2025-02-09 09:05:19 | epsilon | 1 | 69583 | 3 | 5.670 | 12272.1 |
| 366 | 2024-12-30 00:49:56 | epsilon | 1 | 69583 | 3 | 8.453 | 8231.8 |
| 365 | 2024-11-03 17:17:15 | epsilon | 1 | 69583 | 3 | 5.686 | 12237.6 |
| 364 | 2024-10-29 04:26:30 | epsilon | 1 | 69583 | 3 | 7.500 | 9277.7 |
| 363 | 2024-10-04 07:15:32 | epsilon | 1 | 69583 | 3 | 9.076 | 7666.7 |
| 362 | 2024-09-27 12:08:18 | epsilon | 1 | 69583 | 3 | 12.060 | 5769.7 |
| 361 | 2024-09-17 21:20:01 | epsilon | 2 | 107671 | 7 | 30.676 | 3509.9 |
| 360 | 2024-09-17 21:19:18 | epsilon | 1 | 69583 | 3 | 4.373 | 15912.0 |
| 359 | 2024-09-10 18:32:50 | epsilon | 1 | 69583 | 3 | 4.356 | 15974.1 |
| 358 | 2024-09-03 10:46:51 | epsilon | 1 | 69583 | 3 | 8.986 | 7743.5 |
| 357 | 2024-09-02 09:39:48 | epsilon | 1 | 69583 | 3 | 8.546 | 8142.2 |
| 356 | 2024-08-30 20:29:05 | epsilon | 3 | 134027 | 65 | 32.736 | 4094.2 |
| 355 | 2024-08-30 19:54:52 | epsilon | 3 | 134027 | 65 | 33.000 | 4061.4 |
| 354 | 2024-08-28 11:55:51 | epsilon | 1 | 69583 | 3 | 13.126 | 5301.2 |
| 353 | 2024-08-12 14:51:22 | epsilon | 1 | 69583 | 3 | 4.466 | 15580.6 |
| 352 | 2024-08-10 21:44:59 | epsilon | 1 | 69583 | 3 | 4.310 | 16144.5 |
| 351 | 2024-08-02 15:44:19 | epsilon | 1 | 69583 | 3 | 2.500 | 27833.2 |
| 350 | 2024-07-27 04:07:03 | epsilon | 1 | 69583 | 3 | 4.110 | 16930.2 |
| 349 | 2024-07-21 01:40:49 | epsilon | 1 | 69583 | 3 | 3.173 | 21929.7 |