History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"loses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1767 | 2024-04-28 13:35:41 | loses | 1 | 28756 | 30 | 0.890 | 32310.1 |
1766 | 2024-04-28 04:53:11 | loses | 1 | 28756 | 30 | 1.110 | 25906.3 |
1765 | 2024-04-28 03:52:51 | loses | 2 | 53800 | 426 | 1.500 | 35866.7 |
1764 | 2024-04-24 10:54:31 | loses | 1 | 28756 | 30 | 0.703 | 40904.7 |
1763 | 2024-04-24 10:40:51 | loses | 1 | 28756 | 30 | 1.093 | 26309.2 |
1762 | 2024-04-24 10:40:35 | loses | 1 | 28756 | 30 | 1.250 | 23004.8 |
1761 | 2024-04-24 10:27:27 | loses | 1 | 28756 | 30 | 1.110 | 25906.3 |
1760 | 2024-04-22 22:23:47 | loses | 1 | 28756 | 30 | 0.486 | 59168.7 |
1759 | 2024-04-17 21:01:29 | loses | 1 | 28756 | 30 | 1.126 | 25538.2 |
1758 | 2024-04-17 21:00:49 | loses | 2 | 53800 | 426 | 2.063 | 26078.5 |
1757 | 2024-04-17 13:46:07 | loses | 2 | 53800 | 426 | 4.093 | 13144.4 |
1756 | 2024-04-17 12:27:34 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1755 | 2024-04-16 20:16:00 | loses | 2 | 53800 | 426 | 1.846 | 29144.1 |
1754 | 2024-04-15 22:00:39 | loses | 2 | 53800 | 426 | 1.686 | 31909.8 |
1753 | 2024-04-14 20:34:37 | loses | 2 | 53800 | 426 | 2.750 | 19563.6 |
1752 | 2024-04-03 03:14:16 | loses | 1 | 28756 | 30 | 1.186 | 24246.2 |
1751 | 2024-03-31 03:16:40 | loses | 1 | 28756 | 30 | 1.330 | 21621.1 |
1750 | 2024-03-28 01:23:05 | loses | 2 | 53800 | 426 | 3.796 | 14172.8 |
1749 | 2024-03-27 07:16:21 | loses | 2 | 53800 | 426 | 2.513 | 21408.7 |
1748 | 2024-03-27 03:34:51 | loses | 1 | 28756 | 30 | 1.140 | 25224.6 |
1747 | 2024-03-24 02:56:17 | loses | 1 | 28756 | 30 | 0.486 | 59168.7 |
1746 | 2024-03-16 17:32:12 | loses | 2 | 53800 | 426 | 2.220 | 24234.2 |
1745 | 2024-03-15 22:36:27 | loses | 2 | 53800 | 426 | 3.393 | 15856.2 |
1744 | 2024-03-15 20:18:21 | loses | 2 | 53800 | 426 | 1.390 | 38705.0 |
1743 | 2024-03-14 04:58:55 | loses | 2 | 53800 | 426 | 1.876 | 28678.0 |
1742 | 2024-03-12 02:27:56 | loses | 1 | 28756 | 30 | 1.063 | 27051.7 |
1741 | 2024-03-03 22:43:20 | loses | 1 | 28756 | 30 | 1.690 | 17015.4 |
1740 | 2024-03-01 01:16:40 | loses | 1 | 28756 | 30 | 0.486 | 59168.7 |
1739 | 2024-02-29 22:01:16 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1738 | 2024-02-29 10:53:46 | loses | 2 | 53800 | 426 | 1.720 | 31279.1 |
1737 | 2024-02-28 18:21:53 | loses | 2 | 53800 | 426 | 1.673 | 32157.8 |
1736 | 2024-02-28 18:03:47 | loses | 2 | 53800 | 426 | 1.563 | 34421.0 |
1735 | 2024-02-28 02:25:41 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1734 | 2024-02-27 21:29:11 | loses | 1 | 28756 | 30 | 0.546 | 52666.7 |
1733 | 2024-02-27 07:04:39 | loses | 2 | 53800 | 426 | 1.533 | 35094.6 |
1732 | 2024-02-26 08:28:37 | loses | 2 | 53800 | 426 | 1.720 | 31279.1 |
1731 | 2024-02-25 21:39:09 | loses | 1 | 28756 | 30 | 0.593 | 48492.4 |
1730 | 2024-02-25 20:32:48 | loses | 2 | 53800 | 426 | 1.890 | 28465.6 |
1729 | 2024-02-23 22:11:07 | loses | 2 | 53800 | 426 | 1.906 | 28226.7 |
1728 | 2024-02-23 02:46:48 | loses | 2 | 53800 | 426 | 1.716 | 31352.0 |
1727 | 2024-02-17 08:07:21 | loses | 2 | 53800 | 426 | 1.596 | 33709.3 |
1726 | 2024-02-16 09:33:36 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1725 | 2024-02-15 02:03:54 | loses | 2 | 53800 | 426 | 1.406 | 38264.6 |
1724 | 2024-02-13 03:58:49 | loses | 2 | 53800 | 426 | 1.893 | 28420.5 |
1723 | 2024-02-12 12:25:16 | loses | 2 | 53800 | 426 | 1.873 | 28724.0 |
1722 | 2024-02-11 08:30:29 | loses | 2 | 53800 | 426 | 5.643 | 9533.9 |
1721 | 2024-02-11 03:51:40 | loses | 2 | 53800 | 426 | 1.390 | 38705.0 |
1720 | 2024-02-09 04:18:12 | loses | 2 | 53800 | 426 | 2.890 | 18615.9 |
1719 | 2024-02-08 03:55:25 | loses | 2 | 53800 | 426 | 1.406 | 38264.6 |
1718 | 2024-02-03 14:48:35 | loses | 2 | 53800 | 426 | 1.686 | 31909.8 |
1717 | 2024-02-03 04:12:57 | loses | 1 | 28756 | 30 | 0.500 | 57512.0 |
1716 | 2024-02-02 01:49:39 | loses | 2 | 53800 | 426 | 1.606 | 33499.4 |
1715 | 2024-02-01 02:15:14 | loses | 2 | 53800 | 426 | 1.640 | 32804.9 |
1714 | 2024-01-31 06:02:13 | loses | 2 | 53800 | 426 | 1.576 | 34137.1 |
1713 | 2024-01-30 13:33:19 | loses | 2 | 53800 | 426 | 1.720 | 31279.1 |
1712 | 2024-01-30 06:18:24 | loses | 2 | 53800 | 426 | 1.720 | 31279.1 |
1711 | 2024-01-29 02:58:20 | loses | 2 | 53800 | 426 | 1.593 | 33772.8 |
1710 | 2024-01-27 08:11:18 | loses | 2 | 53800 | 426 | 1.673 | 32157.8 |
1709 | 2024-01-26 16:26:17 | loses | 2 | 53800 | 426 | 1.780 | 30224.7 |
1708 | 2024-01-26 16:26:05 | loses | 1 | 28756 | 30 | 0.436 | 65954.1 |
1707 | 2024-01-22 04:54:02 | loses | 1 | 28756 | 30 | 0.500 | 57512.0 |
1706 | 2024-01-20 19:45:43 | loses | 2 | 53800 | 426 | 1.373 | 39184.3 |
1705 | 2024-01-19 20:10:01 | loses | 2 | 53800 | 426 | 1.593 | 33772.8 |
1704 | 2024-01-18 13:03:13 | loses | 2 | 53800 | 426 | 1.640 | 32804.9 |
1703 | 2024-01-17 16:01:03 | loses | 2 | 53800 | 426 | 1.403 | 38346.4 |
1702 | 2024-01-16 20:35:07 | loses | 2 | 53800 | 426 | 1.500 | 35866.7 |
1701 | 2024-01-15 05:09:20 | loses | 2 | 53800 | 426 | 1.453 | 37026.8 |
1700 | 2024-01-14 05:29:02 | loses | 2 | 53800 | 426 | 1.673 | 32157.8 |
1699 | 2024-01-12 07:02:13 | loses | 2 | 53800 | 426 | 1.610 | 33416.1 |
1698 | 2024-01-11 04:50:59 | loses | 2 | 53800 | 426 | 1.420 | 37887.3 |
1697 | 2024-01-09 20:54:09 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1696 | 2024-01-08 14:47:57 | loses | 2 | 53800 | 426 | 1.390 | 38705.0 |
1695 | 2024-01-07 19:46:25 | loses | 2 | 53800 | 426 | 1.580 | 34050.6 |
1694 | 2024-01-06 05:14:48 | loses | 2 | 53800 | 426 | 1.453 | 37026.8 |
1693 | 2024-01-05 05:26:40 | loses | 2 | 53800 | 426 | 1.393 | 38621.7 |
1692 | 2024-01-04 17:07:30 | loses | 1 | 28756 | 30 | 0.466 | 61708.2 |
1691 | 2024-01-03 06:45:29 | loses | 2 | 53800 | 426 | 1.403 | 38346.4 |
1690 | 2024-01-03 02:30:48 | loses | 2 | 53800 | 426 | 1.716 | 31352.0 |
1689 | 2023-12-18 05:44:33 | loses | 1 | 28756 | 30 | 0.500 | 57512.0 |
1688 | 2023-12-14 04:02:18 | loses | 2 | 53800 | 426 | 1.736 | 30990.8 |
1687 | 2023-12-04 11:29:23 | loses | 1 | 28756 | 30 | 0.860 | 33437.2 |
1686 | 2023-12-03 20:30:43 | loses | 1 | 28756 | 30 | 0.470 | 61183.0 |
1685 | 2023-12-01 05:15:34 | loses | 2 | 53800 | 426 | 1.766 | 30464.3 |
1684 | 2023-11-27 15:36:31 | loses | 2 | 53800 | 426 | 1.720 | 31279.1 |
1683 | 2023-11-15 08:54:44 | loses | 1 | 28756 | 30 | 0.623 | 46157.3 |
1682 | 2023-11-13 05:06:00 | loses | 2 | 53800 | 426 | 1.593 | 33772.8 |
1681 | 2023-11-12 11:24:26 | loses | 1 | 28756 | 30 | 0.440 | 65354.5 |
1680 | 2023-11-12 11:21:21 | loses | 2 | 53800 | 426 | 1.656 | 32487.9 |
1679 | 2023-11-11 05:30:08 | loses | 2 | 53800 | 426 | 1.376 | 39098.8 |
1678 | 2023-11-10 09:19:14 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1677 | 2023-11-10 08:33:30 | loses | 2 | 53800 | 426 | 1.393 | 38621.7 |
1676 | 2023-11-08 14:23:50 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1675 | 2023-11-05 07:43:26 | loses | 1 | 28756 | 30 | 1.046 | 27491.4 |
1674 | 2023-10-28 20:04:59 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1673 | 2023-10-28 14:28:31 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1672 | 2023-10-26 21:59:52 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1671 | 2023-10-26 16:45:36 | loses | 2 | 53800 | 426 | 2.623 | 20510.9 |
1670 | 2023-10-26 10:53:57 | loses | 2 | 53800 | 426 | 1.453 | 37026.8 |
1669 | 2023-10-25 12:17:46 | loses | 2 | 53800 | 426 | 1.593 | 33772.8 |
1668 | 2023-10-23 10:46:51 | loses | 2 | 53800 | 426 | 1.440 | 37361.1 |