History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"egressions"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 406 | 2025-12-12 21:28:33 | egressions | 3 | 140603 | 40 | 6.686 | 21029.5 |
| 405 | 2025-12-10 01:35:02 | egressions | 3 | 140603 | 40 | 6.236 | 22547.0 |
| 404 | 2025-12-07 13:34:16 | egressions | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 403 | 2025-11-11 03:31:28 | egressions | 3 | 140603 | 40 | 5.550 | 25333.9 |
| 402 | 2025-11-01 21:22:13 | egressions | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 401 | 2025-10-29 15:39:57 | egressions | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 400 | 2025-10-14 00:23:33 | egressions | 3 | 140603 | 40 | 6.643 | 21165.6 |
| 399 | 2025-09-26 08:33:31 | egressions | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 398 | 2025-08-27 04:53:29 | egressions | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 397 | 2025-08-27 02:08:44 | egressions | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 396 | 2025-08-24 05:17:41 | egressions | 1 | 67641 | 3 | 3.013 | 22449.7 |
| 395 | 2025-08-21 10:40:02 | egressions | 1 | 67641 | 3 | 3.720 | 18183.1 |
| 394 | 2025-08-17 00:36:55 | egressions | 2 | 108824 | 12 | 14.093 | 7721.8 |
| 393 | 2025-08-16 05:55:01 | egressions | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 392 | 2025-07-28 08:31:42 | egressions | 1 | 67641 | 3 | 2.436 | 27767.2 |
| 391 | 2025-07-25 17:32:00 | egressions | 1 | 67641 | 3 | 2.500 | 27056.4 |
| 390 | 2025-07-23 23:41:32 | egressions | 1 | 67641 | 3 | 7.406 | 9133.3 |
| 389 | 2025-07-23 22:53:16 | egressions | 1 | 67641 | 3 | 5.156 | 13118.9 |
| 388 | 2025-07-22 19:57:23 | egressions | 1 | 67641 | 3 | 2.910 | 23244.3 |
| 387 | 2025-07-22 00:46:26 | egressions | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 386 | 2025-07-21 11:17:00 | egressions | 3 | 140603 | 40 | 10.500 | 13390.8 |
| 385 | 2025-07-18 18:53:41 | egressions | 3 | 140603 | 40 | 30.753 | 4572.0 |
| 384 | 2025-07-17 08:10:12 | egressions | 1 | 67641 | 3 | 2.813 | 24045.9 |
| 383 | 2025-07-16 19:54:58 | egressions | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 382 | 2025-06-24 11:42:14 | egressions | 1 | 67641 | 3 | 5.796 | 11670.3 |
| 381 | 2025-06-18 02:05:15 | egressions | 1 | 67641 | 3 | 4.203 | 16093.5 |
| 380 | 2025-06-17 16:35:56 | egressions | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 379 | 2025-06-15 20:04:12 | egressions | 1 | 67641 | 3 | 5.656 | 11959.2 |
| 378 | 2025-06-14 20:35:05 | egressions | 3 | 140603 | 40 | 29.660 | 4740.5 |
| 377 | 2025-06-14 06:39:59 | egressions | 1 | 67641 | 3 | 2.920 | 23164.7 |
| 376 | 2025-06-14 06:00:20 | egressions | 1 | 67641 | 3 | 4.626 | 14621.9 |
| 375 | 2025-06-12 23:14:54 | egressions | 3 | 140603 | 40 | 7.873 | 17858.9 |
| 374 | 2025-06-10 20:00:04 | egressions | 3 | 140603 | 40 | 35.003 | 4016.9 |
| 373 | 2025-05-30 19:20:47 | egressions | 4 | 161450 | 219 | 34.046 | 4742.1 |
| 372 | 2025-05-30 10:54:37 | egressions | 1 | 67641 | 3 | 5.373 | 12589.1 |
| 371 | 2025-05-29 07:15:41 | egressions | 4 | 161450 | 219 | 47.846 | 3374.4 |
| 370 | 2025-05-28 07:19:16 | egressions | 4 | 161450 | 219 | 59.173 | 2728.4 |
| 369 | 2025-05-26 22:35:15 | egressions | 4 | 161450 | 219 | 63.773 | 2531.6 |
| 368 | 2025-05-25 18:37:54 | egressions | 4 | 161450 | 219 | 10.403 | 15519.6 |
| 367 | 2025-05-22 11:18:03 | egressions | 4 | 161450 | 219 | 67.030 | 2408.6 |
| 366 | 2025-05-18 04:19:34 | egressions | 3 | 140603 | 40 | 27.140 | 5180.7 |
| 365 | 2025-05-17 20:42:38 | egressions | 3 | 140603 | 40 | 30.113 | 4669.2 |
| 364 | 2025-05-16 20:53:45 | egressions | 2 | 108824 | 12 | 3.233 | 33660.4 |
| 363 | 2025-05-16 11:16:02 | egressions | 1 | 67641 | 3 | 6.750 | 10020.9 |
| 362 | 2025-05-14 21:22:49 | egressions | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 361 | 2025-05-14 14:56:38 | egressions | 1 | 67641 | 3 | 3.576 | 18915.3 |
| 360 | 2025-05-14 12:56:30 | egressions | 2 | 108824 | 12 | 17.110 | 6360.3 |
| 359 | 2025-05-10 20:14:25 | egressions | 1 | 67641 | 3 | 4.656 | 14527.7 |
| 358 | 2025-05-09 11:28:47 | egressions | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 357 | 2025-05-06 14:37:22 | egressions | 3 | 140603 | 40 | 33.733 | 4168.1 |
| 356 | 2025-05-03 12:14:45 | egressions | 3 | 140603 | 40 | 14.050 | 10007.3 |
| 355 | 2025-04-30 07:14:00 | egressions | 3 | 140603 | 40 | 33.860 | 4152.5 |
| 354 | 2025-04-26 08:15:39 | egressions | 3 | 140603 | 40 | 36.860 | 3814.5 |
| 353 | 2025-04-24 23:54:16 | egressions | 3 | 140603 | 40 | 5.440 | 25846.1 |
| 352 | 2025-04-20 05:05:03 | egressions | 1 | 67641 | 3 | 5.596 | 12087.4 |
| 351 | 2025-04-16 18:52:35 | egressions | 4 | 161450 | 219 | 23.363 | 6910.5 |
| 350 | 2025-04-12 05:43:41 | egressions | 4 | 161450 | 219 | 35.593 | 4536.0 |
| 349 | 2025-04-11 10:41:55 | egressions | 1 | 67641 | 3 | 5.500 | 12298.4 |
| 348 | 2025-04-09 07:17:53 | egressions | 4 | 161450 | 219 | 56.830 | 2840.9 |
| 347 | 2025-04-08 21:28:44 | egressions | 4 | 161450 | 219 | 82.940 | 1946.6 |
| 346 | 2025-04-07 07:59:31 | egressions | 4 | 161450 | 219 | 49.270 | 3276.8 |
| 345 | 2025-04-03 18:02:51 | egressions | 4 | 161450 | 219 | 12.576 | 12837.9 |
| 344 | 2025-03-28 21:26:35 | egressions | 1 | 67641 | 3 | 4.030 | 16784.4 |
| 343 | 2025-03-28 16:05:41 | egressions | 2 | 108824 | 12 | 2.966 | 36690.5 |
| 342 | 2025-03-28 06:57:49 | egressions | 3 | 140603 | 40 | 6.673 | 21070.4 |
| 341 | 2025-03-26 13:00:51 | egressions | 1 | 67641 | 3 | 1.436 | 47103.8 |
| 340 | 2025-03-12 14:10:47 | egressions | 1 | 67641 | 3 | 3.736 | 18105.2 |
| 339 | 2025-03-09 19:42:35 | egressions | 3 | 140603 | 40 | 32.753 | 4292.8 |
| 338 | 2025-03-09 19:42:23 | egressions | 3 | 140603 | 40 | 27.190 | 5171.1 |
| 337 | 2025-03-09 19:42:34 | egressions | 2 | 108824 | 12 | 14.126 | 7703.8 |
| 336 | 2025-03-09 19:40:06 | egressions | 1 | 67641 | 3 | 5.610 | 12057.2 |
| 335 | 2025-02-24 04:45:58 | egressions | 3 | 140603 | 40 | 31.326 | 4488.4 |
| 334 | 2025-02-24 04:33:47 | egressions | 3 | 140603 | 40 | 34.970 | 4020.7 |
| 333 | 2025-02-24 04:33:43 | egressions | 3 | 140603 | 40 | 32.953 | 4266.8 |
| 332 | 2025-02-24 04:33:51 | egressions | 2 | 108824 | 12 | 19.483 | 5585.6 |
| 331 | 2025-02-24 04:30:52 | egressions | 1 | 67641 | 3 | 8.046 | 8406.8 |
| 330 | 2025-01-30 11:32:41 | egressions | 1 | 67641 | 3 | 5.593 | 12093.9 |
| 329 | 2025-01-25 01:24:34 | egressions | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 328 | 2025-01-22 18:56:47 | egressions | 2 | 108824 | 12 | 21.186 | 5136.6 |
| 327 | 2025-01-20 08:03:48 | egressions | 3 | 140603 | 40 | 30.610 | 4593.4 |
| 326 | 2025-01-18 15:21:53 | egressions | 3 | 140603 | 40 | 32.203 | 4366.1 |
| 325 | 2025-01-18 15:21:28 | egressions | 2 | 108824 | 12 | 13.330 | 8163.8 |
| 324 | 2025-01-17 17:08:59 | egressions | 3 | 140603 | 40 | 33.380 | 4212.2 |
| 323 | 2025-01-16 22:18:25 | egressions | 3 | 140603 | 40 | 33.063 | 4252.6 |
| 322 | 2025-01-16 22:18:27 | egressions | 2 | 108824 | 12 | 17.936 | 6067.4 |
| 321 | 2025-01-16 22:16:53 | egressions | 1 | 67641 | 3 | 7.830 | 8638.7 |
| 320 | 2025-01-15 16:05:37 | egressions | 1 | 67641 | 3 | 5.250 | 12884.0 |
| 319 | 2024-12-24 16:40:33 | egressions | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 318 | 2024-12-22 14:26:44 | egressions | 2 | 108824 | 12 | 18.936 | 5746.9 |
| 317 | 2024-12-22 14:25:04 | egressions | 1 | 67641 | 3 | 7.643 | 8850.1 |
| 316 | 2024-12-17 10:35:44 | egressions | 3 | 140603 | 40 | 32.126 | 4376.6 |
| 315 | 2024-12-16 15:46:31 | egressions | 3 | 140603 | 40 | 21.956 | 6403.9 |
| 314 | 2024-12-14 19:40:00 | egressions | 3 | 140603 | 40 | 16.766 | 8386.2 |
| 313 | 2024-12-14 11:54:05 | egressions | 3 | 140603 | 40 | 29.626 | 4745.9 |
| 312 | 2024-12-14 11:53:38 | egressions | 1 | 67641 | 3 | 4.873 | 13880.8 |
| 311 | 2024-12-14 11:52:12 | egressions | 2 | 108824 | 12 | 14.530 | 7489.6 |
| 310 | 2024-12-13 15:03:20 | egressions | 3 | 140603 | 40 | 31.656 | 4441.6 |
| 309 | 2024-12-13 06:28:27 | egressions | 2 | 108824 | 12 | 17.126 | 6354.3 |
| 308 | 2024-12-13 06:28:13 | egressions | 3 | 140603 | 40 | 27.813 | 5055.3 |
| 307 | 2024-12-13 06:27:19 | egressions | 1 | 67641 | 3 | 5.346 | 12652.6 |