History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predefined"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 443 | 2026-02-23 06:43:53 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 442 | 2026-02-22 17:20:19 | predefined | 4 | 161450 | 223 | 13.406 | 12043.1 |
| 441 | 2026-02-21 07:16:08 | predefined | 3 | 140603 | 27 | 6.546 | 21479.2 |
| 440 | 2026-02-20 10:08:54 | predefined | 4 | 161450 | 223 | 11.080 | 14571.3 |
| 439 | 2026-02-19 21:21:38 | predefined | 3 | 140603 | 27 | 6.313 | 22272.0 |
| 438 | 2026-02-19 16:04:28 | predefined | 4 | 161450 | 223 | 10.796 | 14954.6 |
| 437 | 2026-02-19 10:00:37 | predefined | 4 | 161450 | 223 | 21.470 | 7519.8 |
| 436 | 2026-02-19 06:00:20 | predefined | 4 | 161450 | 223 | 10.576 | 15265.7 |
| 435 | 2026-02-19 05:18:25 | predefined | 4 | 161450 | 223 | 11.690 | 13810.9 |
| 434 | 2026-02-19 02:06:32 | predefined | 4 | 161450 | 223 | 11.313 | 14271.2 |
| 433 | 2026-02-17 03:04:29 | predefined | 1 | 67641 | 4 | 1.326 | 51011.3 |
| 432 | 2026-02-15 19:30:16 | predefined | 3 | 140603 | 27 | 5.940 | 23670.5 |
| 431 | 2026-02-15 08:56:49 | predefined | 3 | 140603 | 27 | 8.563 | 16419.8 |
| 430 | 2026-02-11 04:32:30 | predefined | 4 | 161450 | 223 | 13.280 | 12157.4 |
| 429 | 2026-02-10 19:26:46 | predefined | 1 | 67641 | 4 | 1.190 | 56841.2 |
| 428 | 2026-02-08 20:53:49 | predefined | 3 | 140603 | 27 | 13.986 | 10053.1 |
| 427 | 2026-02-02 03:54:42 | predefined | 3 | 140603 | 27 | 6.063 | 23190.3 |
| 426 | 2026-01-31 20:25:26 | predefined | 3 | 140603 | 27 | 11.190 | 12565.1 |
| 425 | 2026-01-25 04:49:02 | predefined | 3 | 140603 | 27 | 33.070 | 4251.7 |
| 424 | 2026-01-24 05:12:39 | predefined | 2 | 108824 | 8 | 3.266 | 33320.3 |
| 423 | 2026-01-23 03:38:33 | predefined | 2 | 108824 | 8 | 3.780 | 28789.4 |
| 422 | 2026-01-21 00:45:35 | predefined | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 421 | 2026-01-18 12:38:04 | predefined | 3 | 140603 | 27 | 6.673 | 21070.4 |
| 420 | 2026-01-17 03:40:54 | predefined | 3 | 140603 | 27 | 12.110 | 11610.5 |
| 419 | 2026-01-12 09:50:03 | predefined | 3 | 140603 | 27 | 7.486 | 18782.1 |
| 418 | 2026-01-08 11:25:42 | predefined | 3 | 140603 | 27 | 20.406 | 6890.3 |
| 417 | 2026-01-07 21:27:56 | predefined | 1 | 67641 | 4 | 1.310 | 51634.4 |
| 416 | 2026-01-06 03:06:38 | predefined | 3 | 140603 | 27 | 11.203 | 12550.5 |
| 415 | 2026-01-04 16:58:04 | predefined | 3 | 140603 | 27 | 18.703 | 7517.7 |
| 414 | 2026-01-04 07:54:07 | predefined | 3 | 140603 | 27 | 6.280 | 22389.0 |
| 413 | 2025-12-31 20:53:41 | predefined | 3 | 140603 | 27 | 6.186 | 22729.2 |
| 412 | 2025-12-31 07:13:10 | predefined | 3 | 140603 | 27 | 5.906 | 23806.8 |
| 411 | 2025-12-29 20:47:54 | predefined | 3 | 140603 | 27 | 6.076 | 23140.7 |
| 410 | 2025-12-28 03:23:59 | predefined | 2 | 108824 | 8 | 3.890 | 27975.3 |
| 409 | 2025-12-27 21:13:18 | predefined | 1 | 67641 | 4 | 1.373 | 49265.1 |
| 408 | 2025-12-27 15:20:18 | predefined | 1 | 67641 | 4 | 2.736 | 24722.6 |
| 407 | 2025-12-19 09:39:57 | predefined | 3 | 140603 | 27 | 6.890 | 20406.8 |
| 406 | 2025-12-17 12:34:22 | predefined | 3 | 140603 | 27 | 6.356 | 22121.3 |
| 405 | 2025-12-16 02:16:12 | predefined | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 404 | 2025-12-14 03:13:20 | predefined | 3 | 140603 | 27 | 6.563 | 21423.6 |
| 403 | 2025-12-13 18:11:14 | predefined | 4 | 161450 | 223 | 15.126 | 10673.7 |
| 402 | 2025-12-12 13:16:21 | predefined | 4 | 161450 | 223 | 53.753 | 3003.6 |
| 401 | 2025-12-12 13:16:20 | predefined | 4 | 161450 | 223 | 52.750 | 3060.7 |
| 400 | 2025-12-12 12:24:06 | predefined | 4 | 161450 | 223 | 54.163 | 2980.8 |
| 399 | 2025-12-11 20:08:01 | predefined | 4 | 161450 | 223 | 40.596 | 3977.0 |
| 398 | 2025-12-10 08:22:04 | predefined | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 397 | 2025-12-08 16:11:02 | predefined | 3 | 140603 | 27 | 7.406 | 18985.0 |
| 396 | 2025-12-08 02:22:19 | predefined | 4 | 161450 | 223 | 13.313 | 12127.2 |
| 395 | 2025-12-06 19:46:31 | predefined | 1 | 67641 | 4 | 2.466 | 27429.4 |
| 394 | 2025-12-04 14:45:31 | predefined | 2 | 108824 | 8 | 5.970 | 18228.5 |
| 393 | 2025-12-03 08:45:17 | predefined | 3 | 140603 | 27 | 5.643 | 24916.4 |
| 392 | 2025-11-30 09:44:07 | predefined | 1 | 67641 | 4 | 1.360 | 49736.0 |
| 391 | 2025-11-27 12:58:53 | predefined | 3 | 140603 | 27 | 7.110 | 19775.4 |
| 390 | 2025-11-21 06:06:43 | predefined | 2 | 108824 | 8 | 11.236 | 9685.3 |
| 389 | 2025-11-20 22:06:47 | predefined | 1 | 67641 | 4 | 2.500 | 27056.4 |
| 388 | 2025-11-18 14:47:48 | predefined | 1 | 67641 | 4 | 1.126 | 60071.9 |
| 387 | 2025-11-18 01:08:46 | predefined | 2 | 108824 | 8 | 7.030 | 15479.9 |
| 386 | 2025-11-17 16:04:11 | predefined | 3 | 140603 | 27 | 9.656 | 14561.2 |
| 385 | 2025-11-17 04:01:47 | predefined | 1 | 67641 | 4 | 1.280 | 52844.5 |
| 384 | 2025-11-10 05:41:06 | predefined | 3 | 140603 | 27 | 7.220 | 19474.1 |
| 383 | 2025-11-04 23:14:31 | predefined | 3 | 140603 | 27 | 6.560 | 21433.4 |
| 382 | 2025-11-02 07:22:07 | predefined | 1 | 67641 | 4 | 1.190 | 56841.2 |
| 381 | 2025-10-30 13:05:13 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 380 | 2025-10-28 01:29:40 | predefined | 3 | 140603 | 27 | 7.310 | 19234.3 |
| 379 | 2025-10-21 13:47:45 | predefined | 3 | 140603 | 27 | 27.816 | 5054.8 |
| 378 | 2025-10-17 22:31:47 | predefined | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 377 | 2025-10-17 11:53:33 | predefined | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 376 | 2025-10-15 23:15:56 | predefined | 1 | 67641 | 4 | 1.096 | 61716.2 |
| 375 | 2025-10-15 04:36:07 | predefined | 3 | 140603 | 27 | 7.003 | 20077.5 |
| 374 | 2025-10-14 19:45:54 | predefined | 3 | 140603 | 27 | 6.703 | 20976.1 |
| 373 | 2025-10-08 18:50:37 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 372 | 2025-10-08 12:27:22 | predefined | 3 | 140603 | 27 | 5.733 | 24525.2 |
| 371 | 2025-10-07 09:20:47 | predefined | 3 | 140603 | 27 | 7.186 | 19566.2 |
| 370 | 2025-09-30 05:37:47 | predefined | 3 | 140603 | 27 | 6.423 | 21890.5 |
| 369 | 2025-09-29 23:48:32 | predefined | 3 | 140603 | 27 | 5.720 | 24580.9 |
| 368 | 2025-09-28 19:23:33 | predefined | 1 | 67641 | 4 | 1.610 | 42013.0 |
| 367 | 2025-09-27 23:02:57 | predefined | 1 | 67641 | 4 | 1.233 | 54858.9 |
| 366 | 2025-09-27 13:22:16 | predefined | 3 | 140603 | 27 | 5.983 | 23500.4 |
| 365 | 2025-09-27 07:09:48 | predefined | 3 | 140603 | 27 | 6.423 | 21890.5 |
| 364 | 2025-09-27 00:10:23 | predefined | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 363 | 2025-09-25 19:35:13 | predefined | 1 | 67641 | 4 | 2.766 | 24454.4 |
| 362 | 2025-09-24 16:34:06 | predefined | 3 | 140603 | 27 | 6.596 | 21316.4 |
| 361 | 2025-09-19 19:08:50 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 360 | 2025-09-19 01:08:06 | predefined | 3 | 140603 | 27 | 14.266 | 9855.8 |
| 359 | 2025-09-16 18:05:03 | predefined | 4 | 161450 | 223 | 11.546 | 13983.2 |
| 358 | 2025-09-13 03:17:00 | predefined | 3 | 140603 | 27 | 6.140 | 22899.5 |
| 357 | 2025-09-13 00:08:23 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 356 | 2025-09-11 06:18:42 | predefined | 2 | 108824 | 8 | 3.203 | 33975.6 |
| 355 | 2025-09-10 13:03:49 | predefined | 2 | 108824 | 8 | 3.626 | 30012.1 |
| 354 | 2025-09-07 22:36:01 | predefined | 3 | 140603 | 27 | 6.626 | 21219.9 |
| 353 | 2025-09-01 20:52:25 | predefined | 3 | 140603 | 27 | 6.580 | 21368.2 |
| 352 | 2025-08-31 18:33:42 | predefined | 3 | 140603 | 27 | 6.313 | 22272.0 |
| 351 | 2025-08-28 22:39:40 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 350 | 2025-08-28 10:32:06 | predefined | 1 | 67641 | 4 | 1.263 | 53555.8 |
| 349 | 2025-08-28 05:34:10 | predefined | 2 | 108824 | 8 | 3.280 | 33178.0 |
| 348 | 2025-08-28 01:45:46 | predefined | 3 | 140603 | 27 | 5.843 | 24063.5 |
| 347 | 2025-08-28 00:43:25 | predefined | 3 | 140603 | 27 | 6.203 | 22666.9 |
| 346 | 2025-08-27 22:33:27 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 345 | 2025-08-27 19:22:52 | predefined | 3 | 140603 | 27 | 6.233 | 22557.8 |
| 344 | 2025-08-24 19:28:54 | predefined | 1 | 67641 | 4 | 3.656 | 18501.4 |