History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coldest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 459 | 2024-05-01 16:49:42 | coldest | 1 | 69583 | 5 | 1.343 | 51811.6 |
| 458 | 2024-04-30 02:36:36 | coldest | 3 | 134027 | 450 | 23.376 | 5733.5 |
| 457 | 2024-04-27 15:22:58 | coldest | 3 | 134027 | 450 | 8.750 | 15317.4 |
| 456 | 2024-04-26 18:53:09 | coldest | 1 | 69583 | 5 | 1.280 | 54361.7 |
| 455 | 2024-04-20 19:28:50 | coldest | 1 | 69583 | 5 | 2.813 | 24736.2 |
| 454 | 2024-04-09 06:04:50 | coldest | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 453 | 2024-03-27 00:03:46 | coldest | 3 | 134027 | 450 | 6.686 | 20045.9 |
| 452 | 2024-03-18 03:52:37 | coldest | 1 | 69583 | 5 | 4.313 | 16133.3 |
| 451 | 2024-02-28 17:16:47 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 450 | 2024-02-22 15:34:52 | coldest | 2 | 107671 | 41 | 3.423 | 31455.2 |
| 449 | 2024-02-22 01:03:17 | coldest | 3 | 134027 | 450 | 9.250 | 14489.4 |
| 448 | 2024-02-21 10:44:49 | coldest | 2 | 107671 | 41 | 10.626 | 10132.8 |
| 447 | 2024-02-21 10:44:48 | coldest | 3 | 134027 | 450 | 8.233 | 16279.2 |
| 446 | 2024-02-14 23:03:09 | coldest | 1 | 69583 | 5 | 2.983 | 23326.5 |
| 445 | 2024-01-15 11:30:10 | coldest | 1 | 69583 | 5 | 1.123 | 61961.7 |
| 444 | 2023-12-28 11:32:58 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 443 | 2023-12-25 07:35:03 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 442 | 2023-12-04 19:03:15 | coldest | 1 | 69583 | 5 | 1.170 | 59472.6 |
| 441 | 2023-12-04 11:07:57 | coldest | 2 | 107671 | 41 | 2.936 | 36672.7 |
| 440 | 2023-12-01 11:12:57 | coldest | 3 | 134027 | 450 | 6.000 | 22337.8 |
| 439 | 2023-11-19 16:17:33 | coldest | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 438 | 2023-11-02 11:36:33 | coldest | 1 | 69583 | 5 | 1.343 | 51811.6 |
| 437 | 2023-10-25 12:35:44 | coldest | 1 | 69583 | 5 | 1.280 | 54361.7 |
| 436 | 2023-10-18 06:44:56 | coldest | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 435 | 2023-09-29 05:27:41 | coldest | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 434 | 2023-09-27 10:01:42 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 433 | 2023-09-05 09:26:42 | coldest | 1 | 69583 | 5 | 1.296 | 53690.6 |
| 432 | 2023-09-01 02:27:00 | coldest | 2 | 107671 | 41 | 2.873 | 37476.9 |
| 431 | 2023-08-30 01:21:49 | coldest | 3 | 134027 | 450 | 6.563 | 20421.6 |
| 430 | 2023-08-15 08:36:03 | coldest | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 429 | 2023-05-30 17:01:51 | coldest | 3 | 134027 | 450 | 5.780 | 23188.1 |
| 428 | 2023-05-26 06:53:08 | coldest | 1 | 69583 | 5 | 1.013 | 68690.0 |
| 427 | 2023-05-19 23:01:52 | coldest | 2 | 107671 | 41 | 2.843 | 37872.3 |
| 426 | 2023-05-17 06:32:34 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 425 | 2023-05-16 20:15:37 | coldest | 3 | 134027 | 450 | 7.796 | 17191.8 |
| 424 | 2023-03-13 08:41:34 | coldest | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 423 | 2023-03-04 02:40:08 | coldest | 3 | 134027 | 450 | 5.843 | 22938.0 |
| 422 | 2023-02-28 22:04:29 | coldest | 2 | 107671 | 41 | 3.236 | 33272.9 |
| 421 | 2023-02-24 08:11:09 | coldest | 3 | 134027 | 450 | 5.750 | 23309.0 |
| 420 | 2023-02-09 23:24:57 | coldest | 1 | 69583 | 5 | 1.216 | 57222.9 |
| 419 | 2023-01-12 00:36:07 | coldest | 3 | 134027 | 450 | 6.356 | 21086.7 |
| 418 | 2023-01-08 21:27:38 | coldest | 3 | 134027 | 450 | 6.720 | 19944.5 |
| 417 | 2023-01-02 09:00:35 | coldest | 1 | 69583 | 5 | 1.076 | 64668.2 |
| 416 | 2022-12-27 15:52:02 | coldest | 2 | 107671 | 41 | 2.906 | 37051.3 |
| 415 | 2022-12-24 08:17:39 | coldest | 3 | 134027 | 450 | 6.910 | 19396.1 |
| 414 | 2022-12-16 13:43:08 | coldest | 3 | 134027 | 450 | 5.703 | 23501.1 |
| 413 | 2022-12-09 22:35:01 | coldest | 2 | 107671 | 41 | 2.876 | 37437.8 |
| 412 | 2022-12-05 09:24:00 | coldest | 3 | 134027 | 450 | 6.596 | 20319.4 |
| 411 | 2022-11-27 17:25:26 | coldest | 3 | 134027 | 450 | 5.750 | 23309.0 |
| 410 | 2022-11-25 14:22:53 | coldest | 2 | 107671 | 41 | 3.280 | 32826.5 |
| 409 | 2022-11-14 04:31:45 | coldest | 3 | 134027 | 450 | 5.843 | 22938.0 |
| 408 | 2022-11-13 13:20:14 | coldest | 3 | 134027 | 450 | 6.080 | 22043.9 |
| 407 | 2022-11-07 12:00:30 | coldest | 3 | 134027 | 450 | 6.983 | 19193.3 |
| 406 | 2022-10-30 21:17:25 | coldest | 3 | 134027 | 450 | 5.970 | 22450.1 |
| 405 | 2022-10-23 10:52:11 | coldest | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 404 | 2022-10-19 17:27:59 | coldest | 2 | 107671 | 41 | 3.453 | 31181.9 |
| 403 | 2022-10-11 12:27:56 | coldest | 3 | 134027 | 450 | 5.983 | 22401.3 |
| 402 | 2022-10-10 02:40:07 | coldest | 3 | 134027 | 450 | 6.046 | 22167.9 |
| 401 | 2022-09-23 16:25:17 | coldest | 3 | 134027 | 450 | 5.766 | 23244.4 |
| 400 | 2022-09-22 00:41:31 | coldest | 1 | 69583 | 5 | 1.123 | 61961.7 |
| 399 | 2022-09-16 02:54:42 | coldest | 3 | 134027 | 450 | 10.813 | 12395.0 |
| 398 | 2022-08-29 01:31:40 | coldest | 3 | 134027 | 450 | 6.593 | 20328.7 |
| 397 | 2022-08-15 04:49:30 | coldest | 3 | 134027 | 450 | 6.360 | 21073.4 |
| 396 | 2022-07-24 02:00:23 | coldest | 2 | 107671 | 41 | 2.830 | 38046.3 |
| 395 | 2022-07-21 15:41:12 | coldest | 2 | 107671 | 41 | 2.876 | 37437.8 |
| 394 | 2022-07-08 07:06:04 | coldest | 3 | 134027 | 450 | 5.873 | 22820.9 |
| 393 | 2022-07-05 09:26:05 | coldest | 3 | 134027 | 450 | 5.986 | 22390.1 |
| 392 | 2022-07-03 14:56:59 | coldest | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 391 | 2022-06-18 13:56:31 | coldest | 3 | 134027 | 450 | 6.216 | 21561.6 |
| 390 | 2022-05-09 09:52:33 | coldest | 3 | 134027 | 450 | 7.673 | 17467.4 |
| 389 | 2022-05-07 19:32:13 | coldest | 3 | 134027 | 450 | 6.516 | 20568.9 |
| 388 | 2022-05-07 09:04:51 | coldest | 3 | 134027 | 450 | 5.876 | 22809.2 |
| 387 | 2022-05-05 03:10:01 | coldest | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 386 | 2022-04-07 20:03:55 | coldest | 3 | 134027 | 450 | 7.016 | 19103.1 |
| 385 | 2022-04-05 17:49:54 | coldest | 3 | 134027 | 450 | 6.766 | 19808.9 |
| 384 | 2022-03-16 10:36:15 | coldest | 1 | 69583 | 5 | 1.330 | 52318.0 |
| 383 | 2022-03-12 23:31:44 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 382 | 2022-02-27 12:05:49 | coldest | 2 | 107671 | 41 | 2.940 | 36622.8 |
| 381 | 2022-01-21 22:22:30 | coldest | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 380 | 2021-12-12 21:42:42 | coldest | 3 | 134027 | 450 | 6.780 | 19768.0 |
| 379 | 2021-11-29 07:09:10 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 378 | 2021-11-17 12:33:19 | coldest | 1 | 69583 | 5 | 1.140 | 61037.7 |
| 377 | 2021-10-07 10:21:36 | coldest | 1 | 69583 | 5 | 2.030 | 34277.3 |
| 376 | 2021-10-05 07:57:24 | coldest | 1 | 69583 | 5 | 1.216 | 57222.9 |
| 375 | 2021-09-29 06:32:00 | coldest | 2 | 107671 | 41 | 2.910 | 37000.3 |
| 374 | 2021-09-26 09:18:19 | coldest | 1 | 69583 | 5 | 1.170 | 59472.6 |
| 373 | 2021-09-13 18:54:38 | coldest | 2 | 107671 | 41 | 3.266 | 32967.2 |
| 372 | 2021-09-05 13:29:36 | coldest | 2 | 107671 | 41 | 2.903 | 37089.6 |
| 371 | 2021-08-31 23:58:48 | coldest | 2 | 107671 | 41 | 2.843 | 37872.3 |
| 370 | 2021-08-31 19:15:51 | coldest | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 369 | 2021-08-29 13:56:25 | coldest | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 368 | 2021-08-27 03:57:34 | coldest | 2 | 107671 | 41 | 3.000 | 35890.3 |
| 367 | 2021-08-26 08:55:31 | coldest | 1 | 69583 | 5 | 1.313 | 52995.4 |
| 366 | 2021-08-20 19:49:48 | coldest | 3 | 134027 | 450 | 6.186 | 21666.2 |
| 365 | 2021-08-14 08:26:30 | coldest | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 364 | 2021-08-05 04:37:24 | coldest | 3 | 134027 | 450 | 5.826 | 23005.0 |
| 363 | 2021-07-18 10:30:00 | coldest | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 362 | 2021-07-15 00:04:07 | coldest | 3 | 134027 | 450 | 6.063 | 22105.7 |
| 361 | 2021-07-14 17:08:12 | coldest | 1 | 69583 | 5 | 1.233 | 56433.9 |
| 360 | 2021-07-13 13:57:10 | coldest | 3 | 134027 | 450 | 6.736 | 19897.1 |