History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"metric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 514 | 2025-12-24 22:38:56 | metric | 1 | 48755 | 2 | 0.830 | 58741.0 |
| 513 | 2025-12-20 15:16:41 | metric | 1 | 48755 | 2 | 0.873 | 55847.7 |
| 512 | 2025-12-18 23:37:05 | metric | 1 | 48755 | 2 | 3.640 | 13394.2 |
| 511 | 2025-12-03 15:39:43 | metric | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 510 | 2025-11-29 13:10:58 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 509 | 2025-11-26 01:34:53 | metric | 1 | 48755 | 2 | 0.813 | 59969.2 |
| 508 | 2025-11-19 18:30:06 | metric | 1 | 48755 | 2 | 0.920 | 52994.6 |
| 507 | 2025-11-16 09:57:15 | metric | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 506 | 2025-11-15 16:20:28 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
| 505 | 2025-11-15 06:13:55 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
| 504 | 2025-11-12 09:06:19 | metric | 1 | 48755 | 2 | 0.780 | 62506.4 |
| 503 | 2025-11-11 19:25:43 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 502 | 2025-10-30 09:20:54 | metric | 1 | 48755 | 2 | 0.873 | 55847.7 |
| 501 | 2025-10-02 16:30:11 | metric | 1 | 48755 | 2 | 0.873 | 55847.7 |
| 500 | 2025-09-30 05:03:34 | metric | 1 | 48755 | 2 | 0.856 | 56956.8 |
| 499 | 2025-09-13 17:40:04 | metric | 1 | 48755 | 2 | 1.250 | 39004.0 |
| 498 | 2025-09-04 01:31:39 | metric | 1 | 48755 | 2 | 0.810 | 60191.4 |
| 497 | 2025-09-03 20:24:37 | metric | 1 | 48755 | 2 | 0.830 | 58741.0 |
| 496 | 2025-08-31 20:03:21 | metric | 3 | 112716 | 392 | 5.483 | 20557.4 |
| 495 | 2025-08-27 15:32:27 | metric | 1 | 48755 | 2 | 1.796 | 27146.4 |
| 494 | 2025-08-26 22:36:29 | metric | 3 | 112716 | 392 | 4.970 | 22679.3 |
| 493 | 2025-08-26 21:07:35 | metric | 1 | 48755 | 2 | 1.033 | 47197.5 |
| 492 | 2025-08-25 08:39:58 | metric | 1 | 48755 | 2 | 1.890 | 25796.3 |
| 491 | 2025-08-15 00:17:39 | metric | 2 | 82551 | 41 | 6.143 | 13438.2 |
| 490 | 2025-08-14 12:35:11 | metric | 3 | 112716 | 392 | 5.250 | 21469.7 |
| 489 | 2025-08-12 13:04:48 | metric | 1 | 48755 | 2 | 2.013 | 24220.1 |
| 488 | 2025-08-12 03:50:19 | metric | 3 | 112716 | 392 | 11.423 | 9867.5 |
| 487 | 2025-08-10 18:36:14 | metric | 3 | 112716 | 392 | 12.546 | 8984.2 |
| 486 | 2025-08-10 06:44:35 | metric | 3 | 112716 | 392 | 26.140 | 4312.0 |
| 485 | 2025-08-09 06:35:57 | metric | 3 | 112716 | 392 | 26.553 | 4244.9 |
| 484 | 2025-08-05 22:43:52 | metric | 3 | 112716 | 392 | 24.533 | 4594.5 |
| 483 | 2025-08-04 10:00:30 | metric | 1 | 48755 | 2 | 2.000 | 24377.5 |
| 482 | 2025-07-28 05:16:25 | metric | 1 | 48755 | 2 | 3.936 | 12386.9 |
| 481 | 2025-07-27 12:27:44 | metric | 1 | 48755 | 2 | 3.313 | 14716.3 |
| 480 | 2025-07-26 22:26:23 | metric | 1 | 48755 | 2 | 1.326 | 36768.5 |
| 479 | 2025-07-24 10:28:33 | metric | 1 | 48755 | 2 | 5.293 | 9211.2 |
| 478 | 2025-07-24 03:40:50 | metric | 1 | 48755 | 2 | 4.093 | 11911.8 |
| 477 | 2025-07-23 11:05:24 | metric | 1 | 48755 | 2 | 4.563 | 10684.9 |
| 476 | 2025-07-23 05:21:59 | metric | 1 | 48755 | 2 | 4.310 | 11312.1 |
| 475 | 2025-07-23 04:35:50 | metric | 1 | 48755 | 2 | 2.313 | 21078.7 |
| 474 | 2025-07-23 00:39:29 | metric | 1 | 48755 | 2 | 3.063 | 15917.4 |
| 473 | 2025-07-22 10:40:13 | metric | 3 | 112716 | 392 | 10.623 | 10610.6 |
| 472 | 2025-07-21 09:04:55 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 471 | 2025-07-18 23:59:52 | metric | 1 | 48755 | 2 | 0.763 | 63899.1 |
| 470 | 2025-07-14 02:46:46 | metric | 2 | 82551 | 41 | 6.343 | 13014.5 |
| 469 | 2025-07-13 12:24:25 | metric | 3 | 112716 | 392 | 8.970 | 12565.9 |
| 468 | 2025-07-13 11:45:13 | metric | 1 | 48755 | 2 | 3.623 | 13457.1 |
| 467 | 2025-07-13 10:54:38 | metric | 3 | 112716 | 392 | 5.673 | 19868.9 |
| 466 | 2025-07-13 10:08:12 | metric | 3 | 112716 | 392 | 9.313 | 12103.1 |
| 465 | 2025-07-10 17:44:01 | metric | 1 | 48755 | 2 | 4.186 | 11647.2 |
| 464 | 2025-07-05 11:08:43 | metric | 3 | 112716 | 392 | 29.750 | 3788.8 |
| 463 | 2025-07-05 02:25:45 | metric | 3 | 112716 | 392 | 31.533 | 3574.5 |
| 462 | 2025-07-04 09:55:43 | metric | 3 | 112716 | 392 | 17.563 | 6417.8 |
| 461 | 2025-06-20 20:52:05 | metric | 1 | 48755 | 2 | 4.186 | 11647.2 |
| 460 | 2025-06-20 04:11:34 | metric | 1 | 48755 | 2 | 4.216 | 11564.3 |
| 459 | 2025-06-15 23:24:37 | metric | 3 | 112716 | 392 | 28.143 | 4005.1 |
| 458 | 2025-06-14 10:51:48 | metric | 3 | 112716 | 392 | 27.000 | 4174.7 |
| 457 | 2025-06-13 10:59:42 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
| 456 | 2025-06-04 09:04:53 | metric | 1 | 48755 | 2 | 3.220 | 15141.3 |
| 455 | 2025-06-04 07:50:00 | metric | 1 | 48755 | 2 | 3.953 | 12333.7 |
| 454 | 2025-05-20 17:31:43 | metric | 1 | 48755 | 2 | 4.046 | 12050.2 |
| 453 | 2025-05-20 04:06:32 | metric | 1 | 48755 | 2 | 3.970 | 12280.9 |
| 452 | 2025-05-10 14:26:46 | metric | 1 | 48755 | 2 | 3.750 | 13001.3 |
| 451 | 2025-05-08 11:51:02 | metric | 1 | 48755 | 2 | 1.546 | 31536.2 |
| 450 | 2025-05-04 21:22:13 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
| 449 | 2025-04-30 08:40:36 | metric | 1 | 48755 | 2 | 5.110 | 9541.1 |
| 448 | 2025-04-20 16:15:45 | metric | 1 | 48755 | 2 | 4.016 | 12140.2 |
| 447 | 2025-04-20 03:14:56 | metric | 1 | 48755 | 2 | 3.450 | 14131.9 |
| 446 | 2025-04-13 17:31:44 | metric | 1 | 48755 | 2 | 0.813 | 59969.2 |
| 445 | 2025-04-11 01:38:33 | metric | 3 | 112716 | 392 | 26.250 | 4293.9 |
| 444 | 2025-04-10 23:43:03 | metric | 2 | 82551 | 41 | 6.593 | 12521.0 |
| 443 | 2025-04-10 13:56:13 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
| 442 | 2025-04-07 10:46:03 | metric | 1 | 48755 | 2 | 4.046 | 12050.2 |
| 441 | 2025-04-04 02:58:48 | metric | 3 | 112716 | 392 | 25.783 | 4371.7 |
| 440 | 2025-04-03 21:28:52 | metric | 1 | 48755 | 2 | 7.250 | 6724.8 |
| 439 | 2025-04-03 04:21:09 | metric | 2 | 82551 | 41 | 2.390 | 34540.2 |
| 438 | 2025-04-02 19:11:15 | metric | 3 | 112716 | 392 | 14.546 | 7748.9 |
| 437 | 2025-03-20 18:14:51 | metric | 1 | 48755 | 2 | 3.923 | 12428.0 |
| 436 | 2025-03-20 05:04:24 | metric | 1 | 48755 | 2 | 1.733 | 28133.3 |
| 435 | 2025-03-14 03:42:18 | metric | 1 | 48755 | 2 | 6.093 | 8001.8 |
| 434 | 2025-03-10 18:23:43 | metric | 1 | 48755 | 2 | 4.093 | 11911.8 |
| 433 | 2025-03-08 05:58:31 | metric | 1 | 48755 | 2 | 2.030 | 24017.2 |
| 432 | 2025-02-27 22:38:46 | metric | 1 | 48755 | 2 | 1.453 | 33554.7 |
| 431 | 2025-02-26 21:47:49 | metric | 1 | 48755 | 2 | 3.796 | 12843.8 |
| 430 | 2025-02-18 09:08:47 | metric | 1 | 48755 | 2 | 6.063 | 8041.4 |
| 429 | 2025-02-08 12:41:44 | metric | 1 | 48755 | 2 | 5.406 | 9018.7 |
| 428 | 2025-02-05 07:05:18 | metric | 1 | 48755 | 2 | 4.750 | 10264.2 |
| 427 | 2025-01-26 03:12:58 | metric | 3 | 112716 | 392 | 26.863 | 4196.0 |
| 426 | 2025-01-25 19:39:40 | metric | 3 | 112716 | 392 | 27.750 | 4061.8 |
| 425 | 2025-01-25 16:33:33 | metric | 2 | 82551 | 41 | 2.160 | 38218.1 |
| 424 | 2025-01-25 16:33:04 | metric | 3 | 112716 | 392 | 5.500 | 20493.8 |
| 423 | 2025-01-25 15:28:44 | metric | 3 | 112716 | 392 | 24.893 | 4528.0 |
| 422 | 2025-01-25 15:28:43 | metric | 2 | 82551 | 41 | 11.656 | 7082.3 |
| 421 | 2025-01-25 15:28:30 | metric | 1 | 48755 | 2 | 2.466 | 19770.9 |
| 420 | 2025-01-21 00:39:35 | metric | 1 | 48755 | 2 | 4.160 | 11720.0 |
| 419 | 2025-01-17 16:58:11 | metric | 1 | 48755 | 2 | 6.060 | 8045.4 |
| 418 | 2025-01-15 01:11:29 | metric | 1 | 48755 | 2 | 6.123 | 7962.6 |
| 417 | 2025-01-09 09:54:47 | metric | 1 | 48755 | 2 | 2.236 | 21804.6 |
| 416 | 2024-12-12 02:02:18 | metric | 3 | 112716 | 392 | 25.800 | 4368.8 |
| 415 | 2024-12-10 00:26:59 | metric | 1 | 48755 | 2 | 6.080 | 8018.9 |