History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"measures"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 449 | 2025-09-21 10:22:09 | measures | 1 | 82945 | 5 | 1.456 | 56967.7 |
| 448 | 2025-09-20 01:30:40 | measures | 1 | 82945 | 5 | 1.593 | 52068.4 |
| 447 | 2025-08-28 04:46:39 | measures | 1 | 82945 | 5 | 1.360 | 60989.0 |
| 446 | 2025-08-27 09:10:38 | measures | 1 | 82945 | 5 | 3.890 | 21322.6 |
| 445 | 2025-08-25 02:40:01 | measures | 3 | 146162 | 186 | 30.813 | 4743.5 |
| 444 | 2025-08-23 02:54:51 | measures | 3 | 146162 | 186 | 40.330 | 3624.2 |
| 443 | 2025-08-19 03:11:22 | measures | 3 | 146162 | 186 | 22.266 | 6564.4 |
| 442 | 2025-08-17 06:03:29 | measures | 3 | 146162 | 186 | 20.783 | 7032.8 |
| 441 | 2025-08-16 04:01:46 | measures | 3 | 146162 | 186 | 7.643 | 19123.6 |
| 440 | 2025-08-15 09:38:37 | measures | 1 | 82945 | 5 | 3.656 | 22687.4 |
| 439 | 2025-08-12 13:47:38 | measures | 1 | 82945 | 5 | 3.030 | 27374.6 |
| 438 | 2025-08-03 23:33:32 | measures | 1 | 82945 | 5 | 3.216 | 25791.4 |
| 437 | 2025-07-25 06:23:03 | measures | 1 | 82945 | 5 | 5.486 | 15119.4 |
| 436 | 2025-07-23 17:41:46 | measures | 1 | 82945 | 5 | 7.016 | 11822.3 |
| 435 | 2025-07-23 07:27:06 | measures | 1 | 82945 | 5 | 7.780 | 10661.3 |
| 434 | 2025-07-22 23:49:37 | measures | 1 | 82945 | 5 | 6.953 | 11929.4 |
| 433 | 2025-07-17 08:07:29 | measures | 1 | 82945 | 5 | 3.373 | 24590.9 |
| 432 | 2025-07-13 08:43:28 | measures | 1 | 82945 | 5 | 1.530 | 54212.4 |
| 431 | 2025-07-04 13:59:56 | measures | 3 | 146162 | 186 | 34.686 | 4213.9 |
| 430 | 2025-07-02 05:09:28 | measures | 3 | 146162 | 186 | 50.376 | 2901.4 |
| 429 | 2025-06-30 04:29:40 | measures | 3 | 146162 | 186 | 27.203 | 5373.0 |
| 428 | 2025-06-29 22:18:35 | measures | 3 | 146162 | 186 | 26.910 | 5431.5 |
| 427 | 2025-06-29 20:52:13 | measures | 2 | 121059 | 21 | 11.110 | 10896.4 |
| 426 | 2025-06-29 00:24:57 | measures | 1 | 82945 | 5 | 1.516 | 54713.1 |
| 425 | 2025-06-28 10:58:04 | measures | 2 | 121059 | 21 | 13.593 | 8906.0 |
| 424 | 2025-06-28 06:29:50 | measures | 3 | 146162 | 186 | 29.536 | 4948.6 |
| 423 | 2025-06-22 12:29:36 | measures | 1 | 82945 | 5 | 6.546 | 12671.1 |
| 422 | 2025-06-21 08:45:33 | measures | 1 | 82945 | 5 | 6.890 | 12038.5 |
| 421 | 2025-06-16 13:08:20 | measures | 1 | 82945 | 5 | 8.016 | 10347.4 |
| 420 | 2025-06-13 21:34:58 | measures | 1 | 82945 | 5 | 6.986 | 11873.0 |
| 419 | 2025-06-10 05:27:08 | measures | 1 | 82945 | 5 | 9.953 | 8333.7 |
| 418 | 2025-06-04 09:18:58 | measures | 1 | 82945 | 5 | 3.826 | 21679.3 |
| 417 | 2025-05-29 00:11:28 | measures | 1 | 82945 | 5 | 7.550 | 10986.1 |
| 416 | 2025-05-26 10:50:31 | measures | 2 | 121059 | 21 | 9.953 | 12163.1 |
| 415 | 2025-05-25 04:44:12 | measures | 3 | 146162 | 186 | 7.403 | 19743.6 |
| 414 | 2025-05-23 13:41:02 | measures | 3 | 146162 | 186 | 43.876 | 3331.3 |
| 413 | 2025-05-23 08:10:20 | measures | 1 | 82945 | 5 | 7.216 | 11494.6 |
| 412 | 2025-05-20 09:21:01 | measures | 1 | 82945 | 5 | 5.940 | 13963.8 |
| 411 | 2025-05-20 08:08:32 | measures | 1 | 82945 | 5 | 9.800 | 8463.8 |
| 410 | 2025-05-19 10:08:01 | measures | 1 | 82945 | 5 | 1.466 | 56579.1 |
| 409 | 2025-05-17 08:41:01 | measures | 1 | 82945 | 5 | 6.753 | 12282.7 |
| 408 | 2025-05-16 07:01:40 | measures | 3 | 146162 | 186 | 26.346 | 5547.8 |
| 407 | 2025-05-15 10:59:50 | measures | 2 | 121059 | 21 | 3.296 | 36729.1 |
| 406 | 2025-05-11 20:45:17 | measures | 2 | 121059 | 21 | 9.453 | 12806.4 |
| 405 | 2025-05-10 18:06:12 | measures | 2 | 121059 | 21 | 14.483 | 8358.7 |
| 404 | 2025-05-09 21:26:57 | measures | 3 | 146162 | 186 | 49.220 | 2969.6 |
| 403 | 2025-05-09 12:33:16 | measures | 1 | 82945 | 5 | 7.080 | 11715.4 |
| 402 | 2025-05-06 04:06:54 | measures | 3 | 146162 | 186 | 28.833 | 5069.3 |
| 401 | 2025-05-04 05:02:32 | measures | 1 | 82945 | 5 | 9.373 | 8849.4 |
| 400 | 2025-05-02 09:28:36 | measures | 1 | 82945 | 5 | 6.016 | 13787.4 |
| 399 | 2025-05-01 08:35:20 | measures | 1 | 82945 | 5 | 7.156 | 11591.0 |
| 398 | 2025-04-20 14:25:19 | measures | 2 | 121059 | 21 | 15.390 | 7866.1 |
| 397 | 2025-04-20 08:36:50 | measures | 1 | 82945 | 5 | 6.610 | 12548.4 |
| 396 | 2025-04-19 12:38:54 | measures | 3 | 146162 | 186 | 7.096 | 20597.8 |
| 395 | 2025-04-17 11:59:27 | measures | 1 | 82945 | 5 | 1.533 | 54106.3 |
| 394 | 2025-04-16 18:44:40 | measures | 1 | 82945 | 5 | 1.300 | 63803.8 |
| 393 | 2025-04-14 03:02:07 | measures | 3 | 146162 | 186 | 45.706 | 3197.9 |
| 392 | 2025-04-09 13:22:53 | measures | 3 | 146162 | 186 | 53.486 | 2732.7 |
| 391 | 2025-04-08 11:46:03 | measures | 1 | 82945 | 5 | 11.000 | 7540.5 |
| 390 | 2025-04-04 04:41:13 | measures | 1 | 82945 | 5 | 7.830 | 10593.2 |
| 389 | 2025-04-02 02:40:00 | measures | 2 | 121059 | 21 | 10.783 | 11226.8 |
| 388 | 2025-04-01 11:28:25 | measures | 1 | 82945 | 5 | 1.406 | 58993.6 |
| 387 | 2025-03-29 10:50:05 | measures | 1 | 82945 | 5 | 6.846 | 12115.8 |
| 386 | 2025-03-27 00:47:58 | measures | 1 | 82945 | 5 | 8.376 | 9902.7 |
| 385 | 2025-03-20 10:58:58 | measures | 1 | 82945 | 5 | 3.220 | 25759.3 |
| 384 | 2025-03-16 09:00:15 | measures | 1 | 82945 | 5 | 3.810 | 21770.3 |
| 383 | 2025-03-07 11:59:15 | measures | 2 | 121059 | 21 | 19.313 | 6268.3 |
| 382 | 2025-03-07 11:58:37 | measures | 1 | 82945 | 5 | 5.826 | 14237.0 |
| 381 | 2025-03-06 14:36:31 | measures | 3 | 146162 | 186 | 32.033 | 4562.9 |
| 380 | 2025-03-05 19:49:26 | measures | 3 | 146162 | 186 | 42.093 | 3472.4 |
| 379 | 2025-03-05 19:22:57 | measures | 3 | 146162 | 186 | 40.143 | 3641.0 |
| 378 | 2025-03-05 18:31:15 | measures | 3 | 146162 | 186 | 26.453 | 5525.3 |
| 377 | 2025-03-03 11:56:09 | measures | 1 | 82945 | 5 | 4.203 | 19734.7 |
| 376 | 2025-02-25 13:12:24 | measures | 1 | 82945 | 5 | 6.343 | 13076.6 |
| 375 | 2025-02-09 05:50:56 | measures | 2 | 121059 | 21 | 19.436 | 6228.6 |
| 374 | 2025-02-09 05:30:36 | measures | 1 | 82945 | 5 | 1.423 | 58288.8 |
| 373 | 2025-02-08 19:43:09 | measures | 1 | 82945 | 5 | 5.593 | 14830.1 |
| 372 | 2025-02-05 04:09:27 | measures | 1 | 82945 | 5 | 6.250 | 13271.2 |
| 371 | 2025-02-01 08:56:46 | measures | 3 | 146162 | 186 | 20.156 | 7251.5 |
| 370 | 2025-01-24 03:13:49 | measures | 3 | 146162 | 186 | 36.503 | 4004.1 |
| 369 | 2025-01-23 03:28:13 | measures | 1 | 82945 | 5 | 6.830 | 12144.2 |
| 368 | 2025-01-19 09:38:17 | measures | 1 | 82945 | 5 | 1.390 | 59672.7 |
| 367 | 2025-01-15 08:09:26 | measures | 2 | 121059 | 21 | 4.326 | 27984.0 |
| 366 | 2025-01-15 08:08:52 | measures | 3 | 146162 | 186 | 7.376 | 19815.9 |
| 365 | 2025-01-15 05:07:58 | measures | 3 | 146162 | 186 | 7.940 | 18408.3 |
| 364 | 2025-01-15 05:08:00 | measures | 2 | 121059 | 21 | 6.123 | 19771.2 |
| 363 | 2025-01-15 05:07:53 | measures | 1 | 82945 | 5 | 1.280 | 64800.8 |
| 362 | 2025-01-09 20:55:52 | measures | 1 | 82945 | 5 | 2.343 | 35401.2 |
| 361 | 2025-01-01 19:05:45 | measures | 2 | 121059 | 21 | 14.330 | 8447.9 |
| 360 | 2024-12-31 12:20:41 | measures | 2 | 121059 | 21 | 9.080 | 13332.5 |
| 359 | 2024-12-31 12:20:39 | measures | 1 | 82945 | 5 | 2.326 | 35659.9 |
| 358 | 2024-12-30 18:36:51 | measures | 1 | 82945 | 5 | 8.813 | 9411.7 |
| 357 | 2024-12-21 08:01:48 | measures | 3 | 146162 | 186 | 10.203 | 14325.4 |
| 356 | 2024-12-18 17:56:30 | measures | 3 | 146162 | 186 | 18.640 | 7841.3 |
| 355 | 2024-12-16 00:24:32 | measures | 3 | 146162 | 186 | 35.720 | 4091.9 |
| 354 | 2024-12-16 00:24:25 | measures | 2 | 121059 | 21 | 17.360 | 6973.4 |
| 353 | 2024-12-15 10:51:26 | measures | 3 | 146162 | 186 | 35.470 | 4120.7 |
| 352 | 2024-12-14 17:41:34 | measures | 3 | 146162 | 186 | 36.686 | 3984.1 |
| 351 | 2024-12-14 17:41:36 | measures | 2 | 121059 | 21 | 27.796 | 4355.3 |
| 350 | 2024-12-14 17:40:26 | measures | 1 | 82945 | 5 | 7.110 | 11666.0 |