History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cow"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
2552 | 2024-04-24 03:19:38 | cow | 1 | 5146 | 36 | 0.220 | 23390.9 |
2551 | 2024-04-23 15:58:13 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2550 | 2024-04-23 14:27:48 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2549 | 2024-04-05 16:29:06 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
2548 | 2024-04-02 17:51:19 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2547 | 2024-03-30 18:15:38 | cow | 1 | 5146 | 36 | 0.313 | 16440.9 |
2546 | 2024-03-28 10:12:09 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2545 | 2024-03-23 09:25:12 | cow | 1 | 5146 | 36 | 0.326 | 15785.3 |
2544 | 2024-03-19 13:25:28 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2543 | 2024-03-19 13:25:01 | cow | 2 | 14084 | 411 | 0.453 | 31090.5 |
2542 | 2024-03-19 06:02:47 | cow | 2 | 14084 | 411 | 0.453 | 31090.5 |
2541 | 2024-03-18 20:45:48 | cow | 2 | 14084 | 411 | 0.420 | 33533.3 |
2540 | 2024-03-02 16:16:45 | cow | 1 | 5146 | 36 | 0.296 | 17385.1 |
2539 | 2024-02-25 16:05:52 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
2538 | 2024-02-21 21:03:59 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2537 | 2024-02-01 09:39:51 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2536 | 2024-01-11 00:50:30 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2535 | 2023-12-31 03:27:43 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2534 | 2023-12-31 03:02:26 | cow | 2 | 14084 | 411 | 0.326 | 43202.5 |
2533 | 2023-11-27 00:35:30 | cow | 1 | 5146 | 36 | 0.090 | 57177.8 |
2532 | 2023-11-11 02:24:29 | cow | 2 | 14084 | 411 | 0.390 | 36112.8 |
2531 | 2023-11-09 22:40:23 | cow | 2 | 14084 | 411 | 0.373 | 37758.7 |
2530 | 2023-11-08 11:59:21 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2529 | 2023-11-07 23:59:06 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2528 | 2023-11-07 11:02:00 | cow | 2 | 14084 | 411 | 0.530 | 26573.6 |
2527 | 2023-11-07 11:01:58 | cow | 2 | 14084 | 411 | 1.060 | 13286.8 |
2526 | 2023-11-07 10:16:33 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2525 | 2023-11-07 06:30:42 | cow | 1 | 5146 | 36 | 0.063 | 81682.5 |
2524 | 2023-11-06 15:26:55 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2523 | 2023-11-05 16:57:54 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2522 | 2023-11-02 06:20:26 | cow | 1 | 5146 | 36 | 0.090 | 57177.8 |
2521 | 2023-10-27 22:46:34 | cow | 2 | 14084 | 411 | 0.923 | 15258.9 |
2520 | 2023-10-25 20:41:12 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2519 | 2023-10-23 16:55:55 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2518 | 2023-10-20 03:26:17 | cow | 2 | 14084 | 411 | 0.373 | 37758.7 |
2517 | 2023-10-19 14:29:01 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2516 | 2023-10-18 01:29:05 | cow | 2 | 14084 | 411 | 0.360 | 39122.2 |
2515 | 2023-10-16 19:04:03 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2514 | 2023-10-11 20:44:07 | cow | 2 | 14084 | 411 | 0.343 | 41061.2 |
2513 | 2023-10-10 10:58:05 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2512 | 2023-10-05 16:17:20 | cow | 2 | 14084 | 411 | 0.343 | 41061.2 |
2511 | 2023-10-04 05:17:54 | cow | 2 | 14084 | 411 | 0.406 | 34689.7 |
2510 | 2023-10-03 08:45:22 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2509 | 2023-09-25 14:48:10 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2508 | 2023-09-23 11:41:20 | cow | 2 | 14084 | 411 | 0.360 | 39122.2 |
2507 | 2023-09-18 22:53:28 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2506 | 2023-09-18 06:59:35 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2505 | 2023-09-12 05:48:19 | cow | 2 | 14084 | 411 | 0.393 | 35837.2 |
2504 | 2023-09-10 12:40:55 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2503 | 2023-09-02 17:46:08 | cow | 2 | 14084 | 411 | 0.360 | 39122.2 |
2502 | 2023-08-26 01:59:52 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2501 | 2023-07-23 10:15:15 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2500 | 2023-07-16 19:52:33 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2499 | 2023-07-16 06:54:39 | cow | 2 | 14084 | 411 | 0.376 | 37457.4 |
2498 | 2023-06-26 11:35:59 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2497 | 2023-06-17 11:36:27 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2496 | 2023-05-28 08:25:34 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2495 | 2023-04-02 07:15:32 | cow | 2 | 14084 | 411 | 0.373 | 37758.7 |
2494 | 2023-03-26 20:48:23 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2493 | 2023-03-23 09:57:06 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2492 | 2023-03-15 02:49:08 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2491 | 2023-03-12 12:19:12 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2490 | 2023-01-17 08:37:49 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2489 | 2023-01-08 11:41:02 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2488 | 2023-01-01 10:59:17 | cow | 2 | 14084 | 411 | 0.360 | 39122.2 |
2487 | 2022-12-10 04:40:35 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2486 | 2022-11-24 21:02:39 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2485 | 2022-10-07 17:53:39 | cow | 1 | 5146 | 36 | 0.063 | 81682.5 |
2484 | 2022-09-19 00:37:59 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2483 | 2022-09-10 13:02:05 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2482 | 2022-09-03 23:45:36 | cow | 2 | 14084 | 411 | 0.326 | 43202.5 |
2481 | 2022-09-01 19:10:05 | cow | 2 | 14084 | 411 | 0.343 | 41061.2 |
2480 | 2022-09-01 15:34:02 | cow | 1 | 5146 | 36 | 0.060 | 85766.7 |
2479 | 2022-08-26 22:46:24 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2478 | 2022-08-26 04:55:28 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2477 | 2022-08-17 15:35:47 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2476 | 2022-08-14 06:56:07 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2475 | 2022-08-09 08:38:08 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2474 | 2022-08-07 06:01:02 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2473 | 2022-08-06 06:36:18 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2472 | 2022-08-05 23:22:50 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2471 | 2022-08-01 01:42:16 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2470 | 2022-07-03 13:03:37 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2469 | 2022-06-16 13:03:31 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2468 | 2022-05-24 20:18:36 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2467 | 2022-05-18 10:50:06 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2466 | 2022-05-14 03:47:36 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2465 | 2022-05-10 18:44:15 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2464 | 2022-04-11 00:20:40 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2463 | 2022-03-19 23:24:13 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2462 | 2022-03-17 17:55:29 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2461 | 2022-03-16 20:00:37 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2460 | 2022-03-15 23:07:58 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2459 | 2022-03-13 00:36:26 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2458 | 2022-02-23 09:24:33 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2457 | 2022-02-05 23:27:05 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2456 | 2022-02-04 01:01:24 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2455 | 2021-11-30 00:39:34 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
2454 | 2021-11-27 23:31:53 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2453 | 2021-11-05 15:38:43 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |