History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"econometric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 425 | 2025-10-23 04:36:02 | econometric | 1 | 49908 | 2 | 3.376 | 14783.2 |
| 424 | 2025-10-23 04:35:24 | econometric | 1 | 49908 | 2 | 2.280 | 21889.5 |
| 423 | 2025-10-23 04:34:55 | econometric | 1 | 49908 | 2 | 2.440 | 20454.1 |
| 422 | 2025-10-23 04:34:26 | econometric | 1 | 49908 | 2 | 2.406 | 20743.1 |
| 421 | 2025-10-17 08:04:00 | econometric | 2 | 86808 | 4 | 2.660 | 32634.6 |
| 420 | 2025-10-12 08:15:39 | econometric | 5 | 164607 | 253 | 14.580 | 11289.9 |
| 419 | 2025-10-08 18:17:17 | econometric | 2 | 86808 | 4 | 2.173 | 39948.5 |
| 418 | 2025-10-07 17:16:43 | econometric | 3 | 121633 | 22 | 4.720 | 25769.7 |
| 417 | 2025-10-06 23:17:59 | econometric | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 416 | 2025-09-27 14:56:54 | econometric | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 415 | 2025-09-19 10:45:12 | econometric | 2 | 86808 | 4 | 2.173 | 39948.5 |
| 414 | 2025-09-15 19:28:17 | econometric | 1 | 49908 | 2 | 1.080 | 46211.1 |
| 413 | 2025-09-15 16:46:45 | econometric | 2 | 86808 | 4 | 2.436 | 35635.5 |
| 412 | 2025-09-14 11:32:51 | econometric | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 411 | 2025-09-14 09:49:26 | econometric | 4 | 148819 | 65 | 11.690 | 12730.5 |
| 410 | 2025-09-09 17:51:42 | econometric | 4 | 148819 | 65 | 8.703 | 17099.7 |
| 409 | 2025-08-30 12:57:22 | econometric | 3 | 121633 | 22 | 4.593 | 26482.3 |
| 408 | 2025-08-27 14:29:36 | econometric | 1 | 49908 | 2 | 1.640 | 30431.7 |
| 407 | 2025-08-26 00:29:42 | econometric | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 406 | 2025-08-25 01:59:50 | econometric | 4 | 148819 | 65 | 47.830 | 3111.4 |
| 405 | 2025-08-17 17:16:56 | econometric | 4 | 148819 | 65 | 26.690 | 5575.8 |
| 404 | 2025-08-17 02:34:10 | econometric | 4 | 148819 | 65 | 23.736 | 6269.8 |
| 403 | 2025-08-17 02:10:02 | econometric | 3 | 121633 | 22 | 13.220 | 9200.7 |
| 402 | 2025-08-16 22:57:12 | econometric | 3 | 121633 | 22 | 15.953 | 7624.5 |
| 401 | 2025-08-16 22:57:11 | econometric | 3 | 121633 | 22 | 13.093 | 9289.9 |
| 400 | 2025-08-15 16:03:48 | econometric | 4 | 148819 | 65 | 39.800 | 3739.2 |
| 399 | 2025-08-15 11:47:47 | econometric | 2 | 86808 | 4 | 10.953 | 7925.5 |
| 398 | 2025-08-15 10:35:27 | econometric | 4 | 148819 | 65 | 47.766 | 3115.6 |
| 397 | 2025-08-15 05:46:49 | econometric | 3 | 121633 | 22 | 26.156 | 4650.3 |
| 396 | 2025-08-14 01:24:43 | econometric | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 395 | 2025-07-24 20:44:36 | econometric | 1 | 49908 | 2 | 1.936 | 25778.9 |
| 394 | 2025-07-24 09:46:22 | econometric | 1 | 49908 | 2 | 1.956 | 25515.3 |
| 393 | 2025-07-13 11:04:59 | econometric | 1 | 49908 | 2 | 2.156 | 23148.4 |
| 392 | 2025-07-10 05:19:14 | econometric | 1 | 49908 | 2 | 3.563 | 14007.3 |
| 391 | 2025-07-08 11:34:17 | econometric | 4 | 148819 | 65 | 36.063 | 4126.6 |
| 390 | 2025-07-08 01:07:21 | econometric | 4 | 148819 | 65 | 38.566 | 3858.8 |
| 389 | 2025-07-07 07:23:24 | econometric | 1 | 49908 | 2 | 3.966 | 12584.0 |
| 388 | 2025-06-26 22:33:30 | econometric | 4 | 148819 | 65 | 46.580 | 3194.9 |
| 387 | 2025-06-26 18:52:05 | econometric | 4 | 148819 | 65 | 52.363 | 2842.1 |
| 386 | 2025-06-24 19:32:39 | econometric | 4 | 148819 | 65 | 10.030 | 14837.4 |
| 385 | 2025-06-04 01:05:27 | econometric | 1 | 49908 | 2 | 1.593 | 31329.6 |
| 384 | 2025-06-02 02:05:38 | econometric | 3 | 121633 | 22 | 21.283 | 5715.0 |
| 383 | 2025-05-29 08:06:47 | econometric | 1 | 49908 | 2 | 1.970 | 25334.0 |
| 382 | 2025-05-20 02:37:09 | econometric | 3 | 121633 | 22 | 25.033 | 4858.9 |
| 381 | 2025-05-16 00:57:36 | econometric | 3 | 121633 | 22 | 19.656 | 6188.1 |
| 380 | 2025-05-10 02:29:16 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
| 379 | 2025-05-06 14:25:24 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
| 378 | 2025-05-04 01:26:44 | econometric | 1 | 49908 | 2 | 4.270 | 11688.1 |
| 377 | 2025-05-01 07:24:58 | econometric | 4 | 148819 | 65 | 38.410 | 3874.5 |
| 376 | 2025-04-28 07:57:55 | econometric | 1 | 49908 | 2 | 3.860 | 12929.5 |
| 375 | 2025-04-28 07:02:01 | econometric | 1 | 49908 | 2 | 3.236 | 15422.7 |
| 374 | 2025-04-25 19:20:36 | econometric | 4 | 148819 | 65 | 9.376 | 15872.3 |
| 373 | 2025-04-14 07:13:56 | econometric | 1 | 49908 | 2 | 3.500 | 14259.4 |
| 372 | 2025-04-07 02:50:51 | econometric | 1 | 49908 | 2 | 3.826 | 13044.4 |
| 371 | 2025-03-29 02:35:48 | econometric | 1 | 49908 | 2 | 4.470 | 11165.1 |
| 370 | 2025-03-28 08:38:17 | econometric | 2 | 86808 | 4 | 11.856 | 7321.9 |
| 369 | 2025-03-26 15:20:42 | econometric | 3 | 121633 | 22 | 18.046 | 6740.2 |
| 368 | 2025-03-26 11:06:31 | econometric | 3 | 121633 | 22 | 40.750 | 2984.9 |
| 367 | 2025-03-26 07:47:17 | econometric | 2 | 86808 | 4 | 5.766 | 15055.2 |
| 366 | 2025-03-26 04:26:52 | econometric | 3 | 121633 | 22 | 29.376 | 4140.6 |
| 365 | 2025-03-25 00:52:54 | econometric | 1 | 49908 | 2 | 4.186 | 11922.6 |
| 364 | 2025-03-24 17:03:09 | econometric | 1 | 49908 | 2 | 4.016 | 12427.3 |
| 363 | 2025-03-22 23:38:28 | econometric | 4 | 148819 | 65 | 45.813 | 3248.4 |
| 362 | 2025-03-21 02:45:01 | econometric | 3 | 121633 | 22 | 25.010 | 4863.4 |
| 361 | 2025-03-20 06:54:38 | econometric | 1 | 49908 | 2 | 3.673 | 13587.8 |
| 360 | 2025-03-17 13:44:17 | econometric | 4 | 148819 | 65 | 43.266 | 3439.6 |
| 359 | 2025-03-17 13:44:18 | econometric | 4 | 148819 | 65 | 24.516 | 6070.3 |
| 358 | 2025-03-17 13:44:15 | econometric | 3 | 121633 | 22 | 24.813 | 4902.0 |
| 357 | 2025-03-17 06:12:25 | econometric | 4 | 148819 | 65 | 49.173 | 3026.4 |
| 356 | 2025-03-15 12:53:28 | econometric | 1 | 49908 | 2 | 2.436 | 20487.7 |
| 355 | 2025-03-09 13:13:10 | econometric | 1 | 49908 | 2 | 3.720 | 13416.1 |
| 354 | 2025-03-07 12:26:29 | econometric | 4 | 148819 | 65 | 49.363 | 3014.8 |
| 353 | 2025-02-26 07:24:44 | econometric | 4 | 148819 | 65 | 35.076 | 4242.8 |
| 352 | 2025-02-22 20:05:24 | econometric | 1 | 49908 | 2 | 5.033 | 9916.2 |
| 351 | 2025-02-21 12:46:55 | econometric | 4 | 148819 | 65 | 36.660 | 4059.4 |
| 350 | 2025-02-21 12:46:49 | econometric | 4 | 148819 | 65 | 33.343 | 4463.3 |
| 349 | 2025-02-21 12:46:46 | econometric | 2 | 86808 | 4 | 17.890 | 4852.3 |
| 348 | 2025-02-20 16:13:28 | econometric | 4 | 148819 | 65 | 53.456 | 2784.0 |
| 347 | 2025-02-20 04:18:34 | econometric | 4 | 148819 | 65 | 61.863 | 2405.6 |
| 346 | 2025-02-20 02:04:32 | econometric | 5 | 164607 | 253 | 59.406 | 2770.9 |
| 345 | 2025-02-20 02:04:31 | econometric | 4 | 148819 | 65 | 48.690 | 3056.5 |
| 344 | 2025-02-20 02:04:28 | econometric | 3 | 121633 | 22 | 24.876 | 4889.6 |
| 343 | 2025-02-20 02:04:21 | econometric | 2 | 86808 | 4 | 12.360 | 7023.3 |
| 342 | 2025-02-20 02:03:42 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
| 341 | 2025-02-19 08:22:48 | econometric | 1 | 49908 | 2 | 4.436 | 11250.7 |
| 340 | 2025-02-04 16:00:59 | econometric | 3 | 121633 | 22 | 27.566 | 4412.4 |
| 339 | 2025-02-03 03:30:50 | econometric | 3 | 121633 | 22 | 25.156 | 4835.1 |
| 338 | 2025-02-03 03:30:55 | econometric | 2 | 86808 | 4 | 17.830 | 4868.6 |
| 337 | 2025-02-03 03:29:42 | econometric | 4 | 148819 | 65 | 26.080 | 5706.3 |
| 336 | 2025-02-03 03:28:59 | econometric | 1 | 49908 | 2 | 6.420 | 7773.8 |
| 335 | 2025-01-17 11:37:05 | econometric | 4 | 148819 | 65 | 41.830 | 3557.7 |
| 334 | 2025-01-16 15:09:01 | econometric | 1 | 49908 | 2 | 4.456 | 11200.2 |
| 333 | 2025-01-13 20:13:45 | econometric | 4 | 148819 | 65 | 48.350 | 3078.0 |
| 332 | 2025-01-12 23:35:45 | econometric | 4 | 148819 | 65 | 48.410 | 3074.1 |
| 331 | 2025-01-12 19:21:19 | econometric | 1 | 49908 | 2 | 2.156 | 23148.4 |
| 330 | 2025-01-12 12:20:26 | econometric | 4 | 148819 | 65 | 33.520 | 4439.7 |
| 329 | 2025-01-12 08:01:13 | econometric | 1 | 49908 | 2 | 4.076 | 12244.4 |
| 328 | 2025-01-03 01:00:44 | econometric | 1 | 49908 | 2 | 3.843 | 12986.7 |
| 327 | 2024-12-29 18:14:57 | econometric | 2 | 86808 | 4 | 9.486 | 9151.2 |
| 326 | 2024-12-17 06:49:43 | econometric | 2 | 86808 | 4 | 12.296 | 7059.9 |