History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecasts"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 502 | 2026-04-17 05:14:54 | forecasts | 1 | 81242 | 3 | 5.190 | 15653.6 |
| 501 | 2026-04-11 13:00:31 | forecasts | 1 | 81242 | 3 | 3.673 | 22118.7 |
| 500 | 2026-04-05 20:08:04 | forecasts | 3 | 148641 | 59 | 37.593 | 3954.0 |
| 499 | 2026-04-05 20:07:33 | forecasts | 3 | 148641 | 59 | 26.876 | 5530.6 |
| 498 | 2026-04-05 20:07:09 | forecasts | 3 | 148641 | 59 | 18.986 | 7829.0 |
| 497 | 2026-03-31 15:26:11 | forecasts | 1 | 81242 | 3 | 6.780 | 11982.6 |
| 496 | 2026-03-28 15:23:26 | forecasts | 1 | 81242 | 3 | 3.890 | 20884.8 |
| 495 | 2026-03-28 15:23:18 | forecasts | 1 | 81242 | 3 | 9.703 | 8372.9 |
| 494 | 2026-03-24 01:44:59 | forecasts | 2 | 121436 | 16 | 16.430 | 7391.1 |
| 493 | 2026-03-24 01:44:38 | forecasts | 2 | 121436 | 16 | 20.740 | 5855.2 |
| 492 | 2026-03-24 01:44:24 | forecasts | 2 | 121436 | 16 | 23.856 | 5090.4 |
| 491 | 2026-03-21 15:52:48 | forecasts | 3 | 148641 | 59 | 25.376 | 5857.5 |
| 490 | 2026-03-20 08:11:12 | forecasts | 1 | 81242 | 3 | 3.750 | 21664.5 |
| 489 | 2026-03-20 08:11:11 | forecasts | 1 | 81242 | 3 | 4.143 | 19609.5 |
| 488 | 2026-03-18 23:19:47 | forecasts | 3 | 148641 | 59 | 32.080 | 4633.4 |
| 487 | 2026-03-13 22:50:30 | forecasts | 1 | 81242 | 3 | 4.890 | 16613.9 |
| 486 | 2026-03-10 08:42:42 | forecasts | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 485 | 2026-03-09 23:56:23 | forecasts | 4 | 165329 | 430 | 16.703 | 9898.2 |
| 484 | 2026-03-09 17:25:10 | forecasts | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 483 | 2026-03-08 00:07:44 | forecasts | 1 | 81242 | 3 | 1.950 | 41662.6 |
| 482 | 2026-03-07 21:19:14 | forecasts | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 481 | 2026-02-28 12:19:52 | forecasts | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 480 | 2026-02-27 15:58:11 | forecasts | 4 | 165329 | 430 | 97.913 | 1688.5 |
| 479 | 2026-02-26 11:47:10 | forecasts | 3 | 148641 | 59 | 11.080 | 13415.3 |
| 478 | 2026-02-25 14:22:33 | forecasts | 3 | 148641 | 59 | 12.456 | 11933.3 |
| 477 | 2026-02-17 10:52:32 | forecasts | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 476 | 2026-02-10 23:47:26 | forecasts | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 475 | 2026-02-09 12:22:31 | forecasts | 1 | 81242 | 3 | 1.330 | 61084.2 |
| 474 | 2026-02-08 19:48:57 | forecasts | 4 | 165329 | 430 | 21.190 | 7802.2 |
| 473 | 2026-02-02 07:18:07 | forecasts | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 472 | 2026-01-30 22:09:28 | forecasts | 3 | 148641 | 59 | 21.953 | 6770.9 |
| 471 | 2026-01-22 13:20:37 | forecasts | 2 | 121436 | 16 | 3.736 | 32504.3 |
| 470 | 2026-01-22 12:33:33 | forecasts | 4 | 165329 | 430 | 67.146 | 2462.2 |
| 469 | 2026-01-21 15:04:48 | forecasts | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 468 | 2026-01-07 08:03:56 | forecasts | 3 | 148641 | 59 | 8.423 | 17647.0 |
| 467 | 2026-01-05 04:18:42 | forecasts | 3 | 148641 | 59 | 7.076 | 21006.4 |
| 466 | 2026-01-02 20:50:11 | forecasts | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 465 | 2026-01-02 17:06:06 | forecasts | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 464 | 2025-12-28 10:25:16 | forecasts | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 463 | 2025-12-22 10:30:23 | forecasts | 1 | 81242 | 3 | 7.500 | 10832.3 |
| 462 | 2025-12-21 14:45:44 | forecasts | 1 | 81242 | 3 | 7.220 | 11252.4 |
| 461 | 2025-12-21 14:44:20 | forecasts | 1 | 81242 | 3 | 4.423 | 18368.1 |
| 460 | 2025-12-21 14:44:00 | forecasts | 1 | 81242 | 3 | 6.403 | 12688.1 |
| 459 | 2025-12-14 04:55:33 | forecasts | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 458 | 2025-12-06 09:01:42 | forecasts | 4 | 165329 | 430 | 13.936 | 11863.4 |
| 457 | 2025-12-02 23:56:36 | forecasts | 4 | 165329 | 430 | 12.720 | 12997.6 |
| 456 | 2025-11-21 11:03:37 | forecasts | 4 | 165329 | 430 | 12.750 | 12967.0 |
| 455 | 2025-11-17 01:30:12 | forecasts | 2 | 121436 | 16 | 9.093 | 13354.9 |
| 454 | 2025-11-08 22:07:31 | forecasts | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 453 | 2025-11-07 05:49:18 | forecasts | 1 | 81242 | 3 | 1.330 | 61084.2 |
| 452 | 2025-11-02 02:42:48 | forecasts | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 451 | 2025-10-29 18:17:00 | forecasts | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 450 | 2025-10-25 12:36:10 | forecasts | 4 | 165329 | 430 | 12.563 | 13160.0 |
| 449 | 2025-10-23 14:05:26 | forecasts | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 448 | 2025-10-23 10:46:45 | forecasts | 4 | 165329 | 430 | 71.096 | 2325.4 |
| 447 | 2025-10-23 10:46:39 | forecasts | 4 | 165329 | 430 | 73.893 | 2237.4 |
| 446 | 2025-10-23 10:46:49 | forecasts | 4 | 165329 | 430 | 58.156 | 2842.9 |
| 445 | 2025-10-23 10:46:35 | forecasts | 4 | 165329 | 430 | 41.236 | 4009.3 |
| 444 | 2025-10-23 01:39:24 | forecasts | 4 | 165329 | 430 | 67.350 | 2454.8 |
| 443 | 2025-09-12 19:00:44 | forecasts | 4 | 165329 | 430 | 12.126 | 13634.3 |
| 442 | 2025-09-12 10:15:21 | forecasts | 3 | 148641 | 59 | 12.033 | 12352.8 |
| 441 | 2025-09-10 09:07:24 | forecasts | 3 | 148641 | 59 | 7.656 | 19415.0 |
| 440 | 2025-09-08 13:55:40 | forecasts | 2 | 121436 | 16 | 3.330 | 36467.3 |
| 439 | 2025-09-07 19:44:20 | forecasts | 1 | 81242 | 3 | 1.593 | 50999.4 |
| 438 | 2025-09-07 11:34:32 | forecasts | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 437 | 2025-08-24 04:41:43 | forecasts | 1 | 81242 | 3 | 2.890 | 28111.4 |
| 436 | 2025-08-17 12:40:55 | forecasts | 1 | 81242 | 3 | 3.436 | 23644.4 |
| 435 | 2025-08-13 20:57:49 | forecasts | 1 | 81242 | 3 | 2.826 | 28748.1 |
| 434 | 2025-08-10 12:00:31 | forecasts | 1 | 81242 | 3 | 3.156 | 25742.1 |
| 433 | 2025-08-05 18:49:21 | forecasts | 2 | 121436 | 16 | 8.313 | 14608.0 |
| 432 | 2025-08-05 17:59:45 | forecasts | 1 | 81242 | 3 | 5.686 | 14288.1 |
| 431 | 2025-08-05 13:00:57 | forecasts | 3 | 148641 | 59 | 17.970 | 8271.6 |
| 430 | 2025-08-05 02:05:06 | forecasts | 1 | 81242 | 3 | 5.733 | 14170.9 |
| 429 | 2025-08-04 13:47:00 | forecasts | 1 | 81242 | 3 | 4.530 | 17934.2 |
| 428 | 2025-08-02 23:32:19 | forecasts | 3 | 148641 | 59 | 26.706 | 5565.8 |
| 427 | 2025-08-02 19:15:26 | forecasts | 3 | 148641 | 59 | 40.470 | 3672.9 |
| 426 | 2025-08-01 03:19:27 | forecasts | 1 | 81242 | 3 | 3.283 | 24746.3 |
| 425 | 2025-07-27 09:45:46 | forecasts | 1 | 81242 | 3 | 6.220 | 13061.4 |
| 424 | 2025-07-27 00:27:24 | forecasts | 1 | 81242 | 3 | 3.170 | 25628.4 |
| 423 | 2025-07-24 06:23:04 | forecasts | 1 | 81242 | 3 | 6.470 | 12556.7 |
| 422 | 2025-07-16 06:35:19 | forecasts | 1 | 81242 | 3 | 2.906 | 27956.6 |
| 421 | 2025-07-10 14:47:27 | forecasts | 2 | 121436 | 16 | 16.766 | 7243.0 |
| 420 | 2025-07-09 22:39:16 | forecasts | 2 | 121436 | 16 | 11.610 | 10459.6 |
| 419 | 2025-07-06 20:17:02 | forecasts | 2 | 121436 | 16 | 3.266 | 37181.9 |
| 418 | 2025-07-04 15:55:18 | forecasts | 1 | 81242 | 3 | 3.283 | 24746.3 |
| 417 | 2025-06-25 23:08:41 | forecasts | 1 | 81242 | 3 | 5.686 | 14288.1 |
| 416 | 2025-06-18 13:04:44 | forecasts | 1 | 81242 | 3 | 3.703 | 21939.5 |
| 415 | 2025-06-17 15:44:01 | forecasts | 1 | 81242 | 3 | 1.450 | 56029.0 |
| 414 | 2025-06-01 00:28:25 | forecasts | 1 | 81242 | 3 | 6.563 | 12378.8 |
| 413 | 2025-05-30 17:09:56 | forecasts | 1 | 81242 | 3 | 6.923 | 11735.1 |
| 412 | 2025-05-25 23:41:18 | forecasts | 1 | 81242 | 3 | 6.813 | 11924.6 |
| 411 | 2025-05-24 04:55:44 | forecasts | 1 | 81242 | 3 | 3.193 | 25443.8 |
| 410 | 2025-05-14 15:39:46 | forecasts | 1 | 81242 | 3 | 3.456 | 23507.5 |
| 409 | 2025-05-04 10:08:14 | forecasts | 1 | 81242 | 3 | 6.766 | 12007.4 |
| 408 | 2025-04-30 09:41:12 | forecasts | 1 | 81242 | 3 | 4.703 | 17274.5 |
| 407 | 2025-04-26 03:34:36 | forecasts | 3 | 148641 | 59 | 30.876 | 4814.1 |
| 406 | 2025-04-23 12:46:28 | forecasts | 2 | 121436 | 16 | 11.656 | 10418.3 |
| 405 | 2025-04-23 08:17:50 | forecasts | 3 | 148641 | 59 | 29.940 | 4964.6 |
| 404 | 2025-04-22 22:43:23 | forecasts | 1 | 81242 | 3 | 6.546 | 12410.9 |
| 403 | 2025-04-21 10:31:12 | forecasts | 3 | 148641 | 59 | 37.936 | 3918.2 |