History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"husky"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1787 | 2024-04-17 09:55:08 | husky | 1 | 28756 | 8 | 0.516 | 55728.7 |
1786 | 2024-04-15 19:33:38 | husky | 1 | 28756 | 8 | 0.453 | 63479.0 |
1785 | 2024-04-05 05:15:24 | husky | 3 | 83667 | 744 | 6.920 | 12090.6 |
1784 | 2024-04-05 05:15:28 | husky | 2 | 53800 | 89 | 2.640 | 20378.8 |
1783 | 2024-04-05 05:15:13 | husky | 3 | 83667 | 744 | 9.140 | 9153.9 |
1782 | 2024-04-05 05:15:21 | husky | 1 | 28756 | 8 | 0.576 | 49923.6 |
1781 | 2024-04-05 05:15:12 | husky | 2 | 53800 | 89 | 5.296 | 10158.6 |
1780 | 2024-04-03 05:45:01 | husky | 3 | 83667 | 744 | 9.140 | 9153.9 |
1779 | 2024-04-03 05:45:01 | husky | 2 | 53800 | 89 | 5.546 | 9700.7 |
1778 | 2024-04-03 05:26:19 | husky | 1 | 28756 | 8 | 0.516 | 55728.7 |
1777 | 2024-03-31 06:37:12 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1776 | 2024-03-29 02:03:07 | husky | 1 | 28756 | 8 | 1.093 | 26309.2 |
1775 | 2024-03-27 01:26:43 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1774 | 2024-03-13 08:42:37 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1773 | 2024-03-04 01:44:42 | husky | 3 | 83667 | 744 | 4.983 | 16790.5 |
1772 | 2024-03-04 01:44:40 | husky | 2 | 53800 | 89 | 1.343 | 40059.6 |
1771 | 2024-03-04 01:44:38 | husky | 1 | 28756 | 8 | 0.440 | 65354.5 |
1770 | 2024-02-25 17:34:18 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1769 | 2024-02-07 17:46:16 | husky | 3 | 83667 | 744 | 8.890 | 9411.4 |
1768 | 2024-02-07 14:27:45 | husky | 3 | 83667 | 744 | 3.673 | 22778.9 |
1767 | 2024-02-07 14:27:41 | husky | 2 | 53800 | 89 | 1.596 | 33709.3 |
1766 | 2024-02-02 20:46:55 | husky | 1 | 28756 | 8 | 0.486 | 59168.7 |
1765 | 2024-01-25 21:48:56 | husky | 1 | 28756 | 8 | 0.486 | 59168.7 |
1764 | 2023-12-29 16:34:11 | husky | 1 | 28756 | 8 | 0.453 | 63479.0 |
1763 | 2023-12-01 12:15:02 | husky | 3 | 83667 | 744 | 3.656 | 22884.8 |
1762 | 2023-12-01 12:15:00 | husky | 2 | 53800 | 89 | 1.516 | 35488.1 |
1761 | 2023-11-20 02:47:03 | husky | 2 | 53800 | 89 | 1.483 | 36277.8 |
1760 | 2023-11-20 02:47:00 | husky | 3 | 83667 | 744 | 3.623 | 23093.3 |
1759 | 2023-11-16 10:44:26 | husky | 2 | 53800 | 89 | 1.360 | 39558.8 |
1758 | 2023-11-16 10:44:14 | husky | 3 | 83667 | 744 | 3.530 | 23701.7 |
1757 | 2023-11-10 02:52:19 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1756 | 2023-11-08 19:12:15 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1755 | 2023-11-04 07:19:43 | husky | 2 | 53800 | 89 | 1.623 | 33148.5 |
1754 | 2023-10-29 19:15:22 | husky | 2 | 53800 | 89 | 1.406 | 38264.6 |
1753 | 2023-10-27 14:38:30 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1752 | 2023-10-27 02:32:11 | husky | 1 | 28756 | 8 | 0.530 | 54256.6 |
1751 | 2023-10-21 16:00:36 | husky | 3 | 83667 | 744 | 4.783 | 17492.6 |
1750 | 2023-10-20 18:27:42 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1749 | 2023-10-19 17:44:31 | husky | 3 | 83667 | 744 | 4.110 | 20356.9 |
1748 | 2023-10-17 16:27:12 | husky | 3 | 83667 | 744 | 3.610 | 23176.5 |
1747 | 2023-10-17 14:06:28 | husky | 1 | 28756 | 8 | 0.953 | 30174.2 |
1746 | 2023-10-17 11:37:29 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1745 | 2023-10-13 08:43:33 | husky | 3 | 83667 | 744 | 5.610 | 14913.9 |
1744 | 2023-10-12 08:18:41 | husky | 1 | 28756 | 8 | 0.470 | 61183.0 |
1743 | 2023-10-11 07:11:44 | husky | 3 | 83667 | 744 | 6.610 | 12657.6 |
1742 | 2023-10-05 12:03:21 | husky | 3 | 83667 | 744 | 3.420 | 24464.0 |
1741 | 2023-10-05 12:03:22 | husky | 2 | 53800 | 89 | 1.500 | 35866.7 |
1740 | 2023-10-03 09:51:54 | husky | 1 | 28756 | 8 | 0.516 | 55728.7 |
1739 | 2023-09-29 02:27:45 | husky | 1 | 28756 | 8 | 0.546 | 52666.7 |
1738 | 2023-09-25 01:36:33 | husky | 1 | 28756 | 8 | 0.483 | 59536.2 |
1737 | 2023-08-13 06:07:36 | husky | 1 | 28756 | 8 | 0.420 | 68466.7 |
1736 | 2023-07-11 03:24:12 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1735 | 2023-05-12 13:20:40 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1734 | 2023-05-03 13:52:33 | husky | 2 | 53800 | 89 | 1.313 | 40974.9 |
1733 | 2023-04-19 09:37:54 | husky | 1 | 28756 | 8 | 0.513 | 56054.6 |
1732 | 2023-03-23 07:27:23 | husky | 2 | 53800 | 89 | 1.500 | 35866.7 |
1731 | 2023-03-21 23:07:19 | husky | 1 | 28756 | 8 | 0.593 | 48492.4 |
1730 | 2023-03-20 08:56:10 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1729 | 2023-03-06 15:10:15 | husky | 1 | 28756 | 8 | 0.483 | 59536.2 |
1728 | 2022-12-30 02:25:53 | husky | 1 | 28756 | 8 | 0.546 | 52666.7 |
1727 | 2022-11-22 05:08:15 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1726 | 2022-09-20 13:51:16 | husky | 1 | 28756 | 8 | 0.440 | 65354.5 |
1725 | 2022-09-03 11:52:10 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1724 | 2022-08-10 14:22:28 | husky | 1 | 28756 | 8 | 0.453 | 63479.0 |
1723 | 2022-08-07 22:57:38 | husky | 2 | 53800 | 89 | 1.356 | 39675.5 |
1722 | 2022-08-07 01:06:19 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1721 | 2022-08-01 23:51:54 | husky | 1 | 28756 | 8 | 0.453 | 63479.0 |
1720 | 2022-07-30 02:22:58 | husky | 1 | 28756 | 8 | 0.486 | 59168.7 |
1719 | 2022-07-27 22:58:42 | husky | 2 | 53800 | 89 | 1.360 | 39558.8 |
1718 | 2022-07-25 03:07:52 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1717 | 2022-07-03 10:12:41 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1716 | 2022-07-02 22:27:15 | husky | 1 | 28756 | 8 | 0.500 | 57512.0 |
1715 | 2022-06-17 03:41:15 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1714 | 2022-06-16 10:09:13 | husky | 1 | 28756 | 8 | 0.423 | 67981.1 |
1713 | 2022-06-13 20:04:12 | husky | 3 | 83667 | 744 | 3.186 | 26260.8 |
1712 | 2022-06-04 03:02:05 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1711 | 2022-06-03 10:54:47 | husky | 3 | 83667 | 744 | 3.343 | 25027.5 |
1710 | 2022-05-26 02:31:26 | husky | 1 | 28756 | 8 | 0.450 | 63902.2 |
1709 | 2022-05-18 18:08:59 | husky | 3 | 83667 | 744 | 4.126 | 20278.0 |
1708 | 2022-05-17 15:53:33 | husky | 3 | 83667 | 744 | 4.516 | 18526.8 |
1707 | 2022-05-16 16:23:21 | husky | 3 | 83667 | 744 | 3.296 | 25384.4 |
1706 | 2022-05-14 15:13:15 | husky | 3 | 83667 | 744 | 3.483 | 24021.5 |
1705 | 2022-05-13 08:34:37 | husky | 3 | 83667 | 744 | 4.030 | 20761.0 |
1704 | 2022-05-06 22:06:13 | husky | 3 | 83667 | 744 | 3.826 | 21868.0 |
1703 | 2022-05-06 09:54:23 | husky | 3 | 83667 | 744 | 3.876 | 21585.9 |
1702 | 2022-05-05 17:43:00 | husky | 3 | 83667 | 744 | 3.736 | 22394.8 |
1701 | 2022-05-05 12:28:40 | husky | 3 | 83667 | 744 | 3.720 | 22491.1 |
1700 | 2022-05-05 02:54:45 | husky | 3 | 83667 | 744 | 3.593 | 23286.1 |
1699 | 2022-05-04 18:30:07 | husky | 3 | 83667 | 744 | 3.703 | 22594.4 |
1698 | 2022-05-04 06:41:30 | husky | 3 | 83667 | 744 | 3.936 | 21256.9 |
1697 | 2022-05-03 21:33:38 | husky | 3 | 83667 | 744 | 3.906 | 21420.1 |
1696 | 2022-05-03 08:32:21 | husky | 3 | 83667 | 744 | 3.466 | 24139.4 |
1695 | 2022-05-02 19:25:16 | husky | 3 | 83667 | 744 | 3.360 | 24900.9 |
1694 | 2022-05-02 00:57:57 | husky | 1 | 28756 | 8 | 0.436 | 65954.1 |
1693 | 2022-05-01 12:36:24 | husky | 3 | 83667 | 744 | 3.140 | 26645.5 |
1692 | 2022-04-30 21:07:05 | husky | 3 | 83667 | 744 | 3.686 | 22698.6 |
1691 | 2022-04-30 04:01:48 | husky | 3 | 83667 | 744 | 3.266 | 25617.6 |
1690 | 2022-04-29 20:27:10 | husky | 1 | 28756 | 8 | 0.483 | 59536.2 |
1689 | 2022-04-29 08:05:02 | husky | 3 | 83667 | 744 | 3.873 | 21602.6 |
1688 | 2022-04-28 21:17:21 | husky | 3 | 83667 | 744 | 3.563 | 23482.2 |