History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"datary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 391 | 2024-04-28 04:18:35 | datary | 1 | 48755 | 1 | 0.923 | 52822.3 |
| 390 | 2024-04-26 18:21:19 | datary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 389 | 2024-04-21 01:36:04 | datary | 1 | 48755 | 1 | 0.876 | 55656.4 |
| 388 | 2024-04-17 18:22:43 | datary | 2 | 82551 | 32 | 2.153 | 38342.3 |
| 387 | 2024-03-29 21:11:54 | datary | 3 | 112716 | 456 | 10.046 | 11220.0 |
| 386 | 2024-03-29 13:44:40 | datary | 2 | 82551 | 32 | 5.953 | 13867.1 |
| 385 | 2024-03-29 13:44:39 | datary | 1 | 48755 | 1 | 0.953 | 51159.5 |
| 384 | 2024-03-29 13:44:14 | datary | 3 | 112716 | 456 | 9.110 | 12372.8 |
| 383 | 2024-03-29 11:39:05 | datary | 3 | 112716 | 456 | 14.000 | 8051.1 |
| 382 | 2024-03-29 11:39:04 | datary | 2 | 82551 | 32 | 9.626 | 8575.8 |
| 381 | 2024-03-29 10:59:49 | datary | 1 | 48755 | 1 | 1.000 | 48755.0 |
| 380 | 2024-03-07 09:25:55 | datary | 1 | 48755 | 1 | 2.860 | 17047.2 |
| 379 | 2024-01-08 09:52:22 | datary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 378 | 2024-01-07 10:47:51 | datary | 3 | 112716 | 456 | 5.453 | 20670.5 |
| 377 | 2024-01-04 15:28:30 | datary | 1 | 48755 | 1 | 0.876 | 55656.4 |
| 376 | 2024-01-02 02:43:05 | datary | 1 | 48755 | 1 | 0.846 | 57630.0 |
| 375 | 2023-12-14 10:57:52 | datary | 2 | 82551 | 32 | 2.453 | 33653.1 |
| 374 | 2023-12-01 22:34:05 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 373 | 2023-11-26 23:25:34 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 372 | 2023-11-19 17:48:16 | datary | 1 | 48755 | 1 | 0.813 | 59969.2 |
| 371 | 2023-11-09 02:29:31 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 370 | 2023-10-30 16:26:16 | datary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 369 | 2023-10-23 22:26:25 | datary | 1 | 48755 | 1 | 0.813 | 59969.2 |
| 368 | 2023-10-20 06:40:50 | datary | 1 | 48755 | 1 | 1.843 | 26454.2 |
| 367 | 2023-10-19 09:03:27 | datary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 366 | 2023-10-17 17:06:21 | datary | 3 | 112716 | 456 | 8.560 | 13167.8 |
| 365 | 2023-10-16 08:19:19 | datary | 3 | 112716 | 456 | 4.720 | 23880.5 |
| 364 | 2023-10-13 17:27:44 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 363 | 2023-09-24 13:15:46 | datary | 1 | 48755 | 1 | 0.733 | 66514.3 |
| 362 | 2023-09-20 19:41:39 | datary | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 361 | 2023-09-13 15:18:22 | datary | 2 | 82551 | 32 | 2.266 | 36430.3 |
| 360 | 2023-09-11 22:21:30 | datary | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 359 | 2023-08-19 16:30:20 | datary | 1 | 48755 | 1 | 0.923 | 52822.3 |
| 358 | 2023-08-03 11:09:54 | datary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 357 | 2023-07-28 04:56:19 | datary | 3 | 112716 | 456 | 5.016 | 22471.3 |
| 356 | 2023-07-18 13:09:34 | datary | 1 | 48755 | 1 | 1.640 | 29728.7 |
| 355 | 2023-07-14 16:52:21 | datary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 354 | 2023-06-25 21:00:33 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 353 | 2023-06-07 13:59:44 | datary | 2 | 82551 | 32 | 2.406 | 34310.5 |
| 352 | 2023-05-27 11:18:31 | datary | 2 | 82551 | 32 | 2.156 | 38289.0 |
| 351 | 2023-05-20 03:30:43 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 350 | 2023-04-08 18:52:34 | datary | 2 | 82551 | 32 | 2.296 | 35954.3 |
| 349 | 2023-04-07 17:45:25 | datary | 3 | 112716 | 456 | 4.903 | 22989.2 |
| 348 | 2023-04-03 08:07:30 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 347 | 2023-03-27 14:17:35 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 346 | 2023-03-15 14:47:22 | datary | 1 | 48755 | 1 | 0.733 | 66514.3 |
| 345 | 2023-03-12 05:19:47 | datary | 2 | 82551 | 32 | 2.186 | 37763.5 |
| 344 | 2023-01-05 05:36:52 | datary | 3 | 112716 | 456 | 4.690 | 24033.3 |
| 343 | 2023-01-03 22:35:29 | datary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 342 | 2022-12-21 17:50:12 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 341 | 2022-12-15 11:43:35 | datary | 2 | 82551 | 32 | 2.436 | 33887.9 |
| 340 | 2022-09-26 03:59:19 | datary | 1 | 48755 | 1 | 0.763 | 63899.1 |
| 339 | 2022-09-09 08:15:13 | datary | 3 | 112716 | 456 | 4.686 | 24053.8 |
| 338 | 2022-09-07 13:05:31 | datary | 1 | 48755 | 1 | 0.763 | 63899.1 |
| 337 | 2022-08-06 03:22:15 | datary | 2 | 82551 | 32 | 2.140 | 38575.2 |
| 336 | 2022-05-26 07:21:28 | datary | 1 | 48755 | 1 | 0.716 | 68093.6 |
| 335 | 2022-05-09 11:34:57 | datary | 1 | 48755 | 1 | 0.970 | 50262.9 |
| 334 | 2022-04-01 19:36:38 | datary | 3 | 112716 | 456 | 4.763 | 23664.9 |
| 333 | 2022-03-11 17:30:07 | datary | 2 | 82551 | 32 | 2.796 | 29524.7 |
| 332 | 2022-02-18 07:14:07 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 331 | 2022-01-28 12:18:24 | datary | 1 | 48755 | 1 | 0.810 | 60191.4 |
| 330 | 2022-01-26 06:40:51 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 329 | 2021-12-03 05:35:09 | datary | 2 | 82551 | 32 | 2.640 | 31269.3 |
| 328 | 2021-11-17 12:55:15 | datary | 1 | 48755 | 1 | 0.920 | 52994.6 |
| 327 | 2021-11-13 14:50:37 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 326 | 2021-10-07 10:55:23 | datary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 325 | 2021-10-05 07:52:58 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 324 | 2021-09-28 01:28:10 | datary | 2 | 82551 | 32 | 2.500 | 33020.4 |
| 323 | 2021-08-29 15:00:06 | datary | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 322 | 2021-08-26 11:03:00 | datary | 2 | 82551 | 32 | 2.220 | 37185.1 |
| 321 | 2021-08-14 09:40:52 | datary | 1 | 48755 | 1 | 0.763 | 63899.1 |
| 320 | 2021-08-14 01:07:09 | datary | 1 | 48755 | 1 | 0.783 | 62266.9 |
| 319 | 2021-07-28 09:03:39 | datary | 1 | 48755 | 1 | 0.893 | 54596.9 |
| 318 | 2021-05-19 18:50:33 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 317 | 2021-05-13 07:55:54 | datary | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 316 | 2021-05-09 18:26:26 | datary | 1 | 48755 | 1 | 0.846 | 57630.0 |
| 315 | 2021-04-19 19:16:36 | datary | 1 | 48755 | 1 | 1.093 | 44606.6 |
| 314 | 2021-04-05 16:29:23 | datary | 3 | 112716 | 456 | 5.393 | 20900.4 |
| 313 | 2021-04-04 16:55:26 | datary | 3 | 112716 | 456 | 5.483 | 20557.4 |
| 312 | 2021-03-22 14:46:15 | datary | 1 | 48755 | 1 | 0.783 | 62266.9 |
| 311 | 2021-03-09 01:54:04 | datary | 3 | 112716 | 456 | 6.826 | 16512.7 |
| 310 | 2021-02-04 05:39:39 | datary | 1 | 48755 | 1 | 0.753 | 64747.7 |
| 309 | 2021-01-04 11:52:32 | datary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 308 | 2020-11-02 18:38:48 | datary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 307 | 2020-11-01 14:13:41 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 306 | 2020-10-31 05:23:40 | datary | 3 | 112716 | 456 | 5.750 | 19602.8 |
| 305 | 2020-10-25 19:56:50 | datary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 304 | 2020-10-24 18:42:03 | datary | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 303 | 2020-10-08 05:24:36 | datary | 1 | 48755 | 1 | 0.733 | 66514.3 |
| 302 | 2020-08-12 22:47:26 | datary | 1 | 48755 | 1 | 0.796 | 61250.0 |
| 301 | 2020-07-30 19:20:19 | datary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 300 | 2020-07-26 08:54:17 | datary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 299 | 2020-05-01 14:28:10 | datary | 1 | 48755 | 1 | 0.813 | 59969.2 |
| 298 | 2020-03-25 07:12:34 | datary | 1 | 48755 | 1 | 0.733 | 66514.3 |
| 297 | 2020-03-24 14:41:21 | datary | 1 | 48755 | 1 | 0.876 | 55656.4 |
| 296 | 2020-03-22 09:29:44 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 295 | 2020-03-22 06:30:11 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 294 | 2020-03-21 06:19:59 | datary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 293 | 2020-03-18 01:06:18 | datary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 292 | 2020-02-29 13:21:00 | datary | 1 | 48755 | 1 | 1.966 | 24799.1 |