History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snowy"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1586 | 2025-08-10 13:37:38 | snowy | 1 | 28756 | 4 | 0.703 | 40904.7 |
1585 | 2025-08-08 22:15:59 | snowy | 1 | 28756 | 4 | 1.453 | 19790.8 |
1584 | 2025-08-06 17:22:45 | snowy | 2 | 53800 | 70 | 4.283 | 12561.3 |
1583 | 2025-08-02 11:57:18 | snowy | 3 | 83667 | 917 | 28.050 | 2982.8 |
1582 | 2025-08-02 11:22:09 | snowy | 2 | 53800 | 70 | 6.860 | 7842.6 |
1581 | 2025-08-01 01:38:49 | snowy | 1 | 28756 | 4 | 2.046 | 14054.7 |
1580 | 2025-07-31 21:42:47 | snowy | 3 | 83667 | 917 | 13.750 | 6084.9 |
1579 | 2025-07-31 18:55:18 | snowy | 3 | 83667 | 917 | 12.360 | 6769.2 |
1578 | 2025-07-30 13:29:05 | snowy | 3 | 83667 | 917 | 3.750 | 22311.2 |
1577 | 2025-07-30 11:40:22 | snowy | 2 | 53800 | 70 | 4.016 | 13396.4 |
1576 | 2025-07-27 23:24:56 | snowy | 1 | 28756 | 4 | 1.236 | 23265.4 |
1575 | 2025-07-26 22:29:00 | snowy | 1 | 28756 | 4 | 2.780 | 10343.9 |
1574 | 2025-07-24 05:17:18 | snowy | 1 | 28756 | 4 | 2.470 | 11642.1 |
1573 | 2025-07-23 08:10:10 | snowy | 1 | 28756 | 4 | 2.923 | 9837.8 |
1572 | 2025-07-23 02:33:24 | snowy | 3 | 83667 | 917 | 10.656 | 7851.6 |
1571 | 2025-07-22 01:50:27 | snowy | 1 | 28756 | 4 | 0.500 | 57512.0 |
1570 | 2025-07-19 15:25:01 | snowy | 3 | 83667 | 917 | 4.280 | 19548.4 |
1569 | 2025-07-18 17:15:31 | snowy | 3 | 83667 | 917 | 19.436 | 4304.7 |
1568 | 2025-07-18 06:34:32 | snowy | 2 | 53800 | 70 | 4.076 | 13199.2 |
1567 | 2025-07-12 00:47:03 | snowy | 2 | 53800 | 70 | 1.766 | 30464.3 |
1566 | 2025-07-09 14:17:46 | snowy | 3 | 83667 | 917 | 4.013 | 20849.0 |
1565 | 2025-07-09 06:26:34 | snowy | 1 | 28756 | 4 | 1.016 | 28303.1 |
1564 | 2025-07-08 16:59:44 | snowy | 3 | 83667 | 917 | 3.546 | 23594.8 |
1563 | 2025-07-07 21:11:25 | snowy | 3 | 83667 | 917 | 23.673 | 3534.3 |
1562 | 2025-07-05 22:06:50 | snowy | 1 | 28756 | 4 | 1.076 | 26724.9 |
1561 | 2025-07-05 18:09:11 | snowy | 1 | 28756 | 4 | 1.953 | 14724.0 |
1560 | 2025-07-02 13:54:04 | snowy | 3 | 83667 | 917 | 12.940 | 6465.8 |
1559 | 2025-07-01 13:36:05 | snowy | 1 | 28756 | 4 | 0.500 | 57512.0 |
1558 | 2025-06-30 00:27:33 | snowy | 1 | 28756 | 4 | 1.126 | 25538.2 |
1557 | 2025-06-25 01:10:42 | snowy | 3 | 83667 | 917 | 20.766 | 4029.0 |
1556 | 2025-06-23 03:23:14 | snowy | 3 | 83667 | 917 | 3.470 | 24111.5 |
1555 | 2025-06-21 10:11:54 | snowy | 3 | 83667 | 917 | 11.626 | 7196.5 |
1554 | 2025-06-19 20:49:01 | snowy | 3 | 83667 | 917 | 17.533 | 4772.0 |
1553 | 2025-06-18 10:55:55 | snowy | 3 | 83667 | 917 | 10.253 | 8160.2 |
1552 | 2025-06-17 21:25:55 | snowy | 1 | 28756 | 4 | 1.500 | 19170.7 |
1551 | 2025-06-14 04:35:13 | snowy | 1 | 28756 | 4 | 3.783 | 7601.4 |
1550 | 2025-06-13 14:42:40 | snowy | 3 | 83667 | 917 | 3.733 | 22412.8 |
1549 | 2025-06-12 20:23:03 | snowy | 1 | 28756 | 4 | 0.513 | 56054.6 |
1548 | 2025-06-12 14:31:01 | snowy | 3 | 83667 | 917 | 19.893 | 4205.9 |
1547 | 2025-06-11 07:59:30 | snowy | 2 | 53800 | 70 | 3.983 | 13507.4 |
1546 | 2025-06-10 00:40:58 | snowy | 2 | 53800 | 70 | 8.593 | 6260.9 |
1545 | 2025-06-09 11:27:41 | snowy | 2 | 53800 | 70 | 1.580 | 34050.6 |
1544 | 2025-06-09 00:17:43 | snowy | 3 | 83667 | 917 | 3.483 | 24021.5 |
1543 | 2025-06-07 13:19:09 | snowy | 3 | 83667 | 917 | 18.093 | 4624.3 |
1542 | 2025-06-07 08:55:01 | snowy | 2 | 53800 | 70 | 1.780 | 30224.7 |
1541 | 2025-06-05 17:18:56 | snowy | 1 | 28756 | 4 | 0.563 | 51076.4 |
1540 | 2025-06-04 23:58:21 | snowy | 1 | 28756 | 4 | 1.343 | 21411.8 |
1539 | 2025-06-04 01:24:54 | snowy | 1 | 28756 | 4 | 2.470 | 11642.1 |
1538 | 2025-05-30 23:22:42 | snowy | 1 | 28756 | 4 | 1.470 | 19561.9 |
1537 | 2025-05-30 21:10:32 | snowy | 3 | 83667 | 917 | 13.530 | 6183.8 |
1536 | 2025-05-28 08:18:31 | snowy | 3 | 83667 | 917 | 3.843 | 21771.3 |
1535 | 2025-05-28 03:02:32 | snowy | 1 | 28756 | 4 | 0.483 | 59536.2 |
1534 | 2025-05-27 13:01:28 | snowy | 1 | 28756 | 4 | 2.593 | 11089.9 |
1533 | 2025-05-22 20:37:17 | snowy | 3 | 83667 | 917 | 4.406 | 18989.3 |
1532 | 2025-05-22 18:38:55 | snowy | 3 | 83667 | 917 | 27.220 | 3073.7 |
1531 | 2025-05-21 04:04:29 | snowy | 2 | 53800 | 70 | 6.000 | 8966.7 |
1530 | 2025-05-20 22:07:32 | snowy | 3 | 83667 | 917 | 3.623 | 23093.3 |
1529 | 2025-05-20 07:40:04 | snowy | 2 | 53800 | 70 | 6.470 | 8315.3 |
1528 | 2025-05-19 14:55:27 | snowy | 3 | 83667 | 917 | 12.500 | 6693.4 |
1527 | 2025-05-18 10:37:26 | snowy | 3 | 83667 | 917 | 20.563 | 4068.8 |
1526 | 2025-05-17 21:19:32 | snowy | 1 | 28756 | 4 | 1.373 | 20943.9 |
1525 | 2025-05-17 21:02:34 | snowy | 3 | 83667 | 917 | 18.576 | 4504.0 |
1524 | 2025-05-16 22:14:01 | snowy | 3 | 83667 | 917 | 3.346 | 25005.1 |
1523 | 2025-05-16 17:02:44 | snowy | 1 | 28756 | 4 | 3.000 | 9585.3 |
1522 | 2025-05-14 04:46:03 | snowy | 1 | 28756 | 4 | 2.346 | 12257.5 |
1521 | 2025-05-11 01:56:30 | snowy | 2 | 53800 | 70 | 8.313 | 6471.8 |
1520 | 2025-05-10 16:52:54 | snowy | 3 | 83667 | 917 | 17.110 | 4889.9 |
1519 | 2025-05-09 05:31:21 | snowy | 3 | 83667 | 917 | 4.093 | 20441.5 |
1518 | 2025-05-08 03:26:33 | snowy | 1 | 28756 | 4 | 0.940 | 30591.5 |
1517 | 2025-05-07 13:16:01 | snowy | 3 | 83667 | 917 | 5.610 | 14913.9 |
1516 | 2025-05-07 08:52:20 | snowy | 2 | 53800 | 70 | 1.580 | 34050.6 |
1515 | 2025-05-05 17:52:00 | snowy | 1 | 28756 | 4 | 0.530 | 54256.6 |
1514 | 2025-05-03 22:33:18 | snowy | 1 | 28756 | 4 | 0.986 | 29164.3 |
1513 | 2025-05-03 00:03:30 | snowy | 2 | 53800 | 70 | 8.453 | 6364.6 |
1512 | 2025-05-02 12:09:00 | snowy | 2 | 53800 | 70 | 8.283 | 6495.2 |
1511 | 2025-04-30 18:07:59 | snowy | 2 | 53800 | 70 | 1.783 | 30173.9 |
1510 | 2025-04-29 23:48:21 | snowy | 1 | 28756 | 4 | 2.876 | 9998.6 |
1509 | 2025-04-29 16:10:45 | snowy | 1 | 28756 | 4 | 1.356 | 21206.5 |
1508 | 2025-04-22 18:24:53 | snowy | 3 | 83667 | 917 | 3.593 | 23286.1 |
1507 | 2025-04-20 09:16:40 | snowy | 3 | 83667 | 917 | 4.936 | 16950.4 |
1506 | 2025-04-16 21:02:07 | snowy | 1 | 28756 | 4 | 0.530 | 54256.6 |
1505 | 2025-04-16 14:30:55 | snowy | 1 | 28756 | 4 | 2.140 | 13437.4 |
1504 | 2025-04-11 08:07:06 | snowy | 1 | 28756 | 4 | 3.640 | 7900.0 |
1503 | 2025-04-09 07:10:46 | snowy | 2 | 53800 | 70 | 4.110 | 13090.0 |
1502 | 2025-04-08 14:39:22 | snowy | 3 | 83667 | 917 | 15.970 | 5239.0 |
1501 | 2025-04-08 10:17:51 | snowy | 3 | 83667 | 917 | 20.500 | 4081.3 |
1500 | 2025-04-08 09:24:59 | snowy | 3 | 83667 | 917 | 3.733 | 22412.8 |
1499 | 2025-04-06 13:16:44 | snowy | 3 | 83667 | 917 | 14.486 | 5775.7 |
1498 | 2025-04-06 08:40:26 | snowy | 2 | 53800 | 70 | 4.670 | 11520.3 |
1497 | 2025-04-06 04:04:08 | snowy | 1 | 28756 | 4 | 1.390 | 20687.8 |
1496 | 2025-04-04 16:51:54 | snowy | 1 | 28756 | 4 | 2.500 | 11502.4 |
1495 | 2025-03-31 23:20:58 | snowy | 1 | 28756 | 4 | 2.313 | 12432.3 |
1494 | 2025-03-24 02:03:12 | snowy | 1 | 28756 | 4 | 2.356 | 12205.4 |
1493 | 2025-03-17 12:26:55 | snowy | 1 | 28756 | 4 | 2.063 | 13938.9 |
1492 | 2025-03-17 04:54:14 | snowy | 1 | 28756 | 4 | 2.253 | 12763.4 |
1491 | 2025-03-16 20:05:01 | snowy | 2 | 53800 | 70 | 7.936 | 6779.2 |
1490 | 2025-03-16 20:02:50 | snowy | 1 | 28756 | 4 | 2.610 | 11017.6 |
1489 | 2025-03-16 15:58:46 | snowy | 1 | 28756 | 4 | 2.686 | 10705.9 |
1488 | 2025-03-16 13:19:00 | snowy | 3 | 83667 | 917 | 19.736 | 4239.3 |
1487 | 2025-03-16 12:44:54 | snowy | 3 | 83667 | 917 | 15.296 | 5469.9 |