History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cubs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1763 | 2025-07-28 13:25:32 | cubs | 1 | 13983 | 24 | 0.720 | 19420.8 |
1762 | 2025-07-27 02:29:18 | cubs | 1 | 13983 | 24 | 1.703 | 8210.8 |
1761 | 2025-07-22 17:37:41 | cubs | 1 | 13983 | 24 | 0.813 | 17199.3 |
1760 | 2025-07-22 07:55:32 | cubs | 1 | 13983 | 24 | 0.970 | 14415.5 |
1759 | 2025-07-21 21:53:39 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1758 | 2025-07-20 00:26:14 | cubs | 1 | 13983 | 24 | 0.376 | 37188.8 |
1757 | 2025-07-18 21:38:01 | cubs | 1 | 13983 | 24 | 0.686 | 20383.4 |
1756 | 2025-07-16 20:56:07 | cubs | 1 | 13983 | 24 | 0.423 | 33056.7 |
1755 | 2025-07-16 19:27:03 | cubs | 1 | 13983 | 24 | 0.876 | 15962.3 |
1754 | 2025-07-16 16:43:03 | cubs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1753 | 2025-07-13 16:01:18 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1752 | 2025-07-13 08:31:57 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1751 | 2025-07-10 19:41:17 | cubs | 1 | 13983 | 24 | 1.000 | 13983.0 |
1750 | 2025-07-08 21:09:08 | cubs | 2 | 29872 | 311 | 0.970 | 30795.9 |
1749 | 2025-07-07 07:11:10 | cubs | 2 | 29872 | 311 | 3.186 | 9376.0 |
1748 | 2025-07-06 16:20:56 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1747 | 2025-07-05 11:51:37 | cubs | 2 | 29872 | 311 | 4.233 | 7056.9 |
1746 | 2025-07-04 15:05:34 | cubs | 2 | 29872 | 311 | 2.190 | 13640.2 |
1745 | 2025-07-02 21:40:02 | cubs | 2 | 29872 | 311 | 3.203 | 9326.3 |
1744 | 2025-07-02 05:29:33 | cubs | 1 | 13983 | 24 | 1.220 | 11461.5 |
1743 | 2025-07-01 21:48:28 | cubs | 1 | 13983 | 24 | 0.983 | 14224.8 |
1742 | 2025-06-30 13:53:18 | cubs | 2 | 29872 | 311 | 4.716 | 6334.2 |
1741 | 2025-06-30 07:37:32 | cubs | 1 | 13983 | 24 | 0.953 | 14672.6 |
1740 | 2025-06-29 16:28:27 | cubs | 2 | 29872 | 311 | 2.220 | 13455.9 |
1739 | 2025-06-28 22:11:58 | cubs | 1 | 13983 | 24 | 0.690 | 20265.2 |
1738 | 2025-06-28 12:54:57 | cubs | 1 | 13983 | 24 | 2.000 | 6991.5 |
1737 | 2025-06-18 16:41:35 | cubs | 1 | 13983 | 24 | 1.173 | 11920.7 |
1736 | 2025-06-15 05:48:23 | cubs | 2 | 29872 | 311 | 2.703 | 11051.4 |
1735 | 2025-06-10 13:53:33 | cubs | 1 | 13983 | 24 | 1.063 | 13154.3 |
1734 | 2025-06-09 15:17:00 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1733 | 2025-06-05 10:47:29 | cubs | 2 | 29872 | 311 | 4.673 | 6392.5 |
1732 | 2025-06-03 20:47:38 | cubs | 2 | 29872 | 311 | 4.190 | 7129.4 |
1731 | 2025-06-03 14:21:45 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1730 | 2025-06-03 14:07:38 | cubs | 2 | 29872 | 311 | 5.140 | 5811.7 |
1729 | 2025-06-02 21:19:35 | cubs | 2 | 29872 | 311 | 0.923 | 32364.0 |
1728 | 2025-06-01 19:59:32 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1727 | 2025-06-01 18:57:23 | cubs | 2 | 29872 | 311 | 0.890 | 33564.0 |
1726 | 2025-05-31 14:28:02 | cubs | 2 | 29872 | 311 | 4.590 | 6508.1 |
1725 | 2025-05-30 21:18:05 | cubs | 1 | 13983 | 24 | 0.920 | 15198.9 |
1724 | 2025-05-30 15:22:50 | cubs | 1 | 13983 | 24 | 0.936 | 14939.1 |
1723 | 2025-05-30 07:22:30 | cubs | 1 | 13983 | 24 | 1.500 | 9322.0 |
1722 | 2025-05-29 11:59:59 | cubs | 1 | 13983 | 24 | 1.016 | 13762.8 |
1721 | 2025-05-29 00:20:57 | cubs | 2 | 29872 | 311 | 3.060 | 9762.1 |
1720 | 2025-05-26 21:41:49 | cubs | 1 | 13983 | 24 | 1.346 | 10388.6 |
1719 | 2025-05-25 07:36:38 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1718 | 2025-05-23 14:46:00 | cubs | 1 | 13983 | 24 | 1.470 | 9512.2 |
1717 | 2025-05-16 16:37:10 | cubs | 1 | 13983 | 24 | 0.703 | 19890.5 |
1716 | 2025-05-15 23:08:23 | cubs | 1 | 13983 | 24 | 1.013 | 13803.6 |
1715 | 2025-05-13 03:18:02 | cubs | 2 | 29872 | 311 | 0.813 | 36742.9 |
1714 | 2025-05-11 12:20:44 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1713 | 2025-05-10 22:51:46 | cubs | 1 | 13983 | 24 | 0.873 | 16017.2 |
1712 | 2025-05-09 15:23:58 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1711 | 2025-05-05 19:21:43 | cubs | 2 | 29872 | 311 | 0.893 | 33451.3 |
1710 | 2025-05-05 03:23:32 | cubs | 1 | 13983 | 24 | 0.253 | 55268.8 |
1709 | 2025-05-01 16:39:13 | cubs | 2 | 29872 | 311 | 0.813 | 36742.9 |
1708 | 2025-05-01 10:15:30 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1707 | 2025-05-01 04:38:47 | cubs | 1 | 13983 | 24 | 1.846 | 7574.8 |
1706 | 2025-04-29 21:47:01 | cubs | 2 | 29872 | 311 | 5.093 | 5865.3 |
1705 | 2025-04-29 21:38:05 | cubs | 1 | 13983 | 24 | 0.876 | 15962.3 |
1704 | 2025-04-28 19:52:04 | cubs | 2 | 29872 | 311 | 0.830 | 35990.4 |
1703 | 2025-04-27 16:58:11 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1702 | 2025-04-27 16:42:56 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1701 | 2025-04-27 12:07:12 | cubs | 1 | 13983 | 24 | 0.513 | 27257.3 |
1700 | 2025-04-23 18:34:33 | cubs | 2 | 29872 | 311 | 0.876 | 34100.5 |
1699 | 2025-04-21 13:35:01 | cubs | 2 | 29872 | 311 | 4.530 | 6594.3 |
1698 | 2025-04-19 08:40:24 | cubs | 2 | 29872 | 311 | 0.733 | 40753.1 |
1697 | 2025-04-16 16:16:19 | cubs | 1 | 13983 | 24 | 2.000 | 6991.5 |
1696 | 2025-04-13 22:30:40 | cubs | 1 | 13983 | 24 | 1.343 | 10411.8 |
1695 | 2025-04-12 02:46:36 | cubs | 2 | 29872 | 311 | 4.533 | 6589.9 |
1694 | 2025-04-09 20:34:50 | cubs | 2 | 29872 | 311 | 0.893 | 33451.3 |
1693 | 2025-04-08 14:38:53 | cubs | 1 | 13983 | 24 | 1.093 | 12793.2 |
1692 | 2025-04-08 06:37:09 | cubs | 1 | 13983 | 24 | 0.263 | 53167.3 |
1691 | 2025-04-05 11:40:57 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1690 | 2025-04-02 23:43:07 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1689 | 2025-03-31 05:47:54 | cubs | 1 | 13983 | 24 | 0.466 | 30006.4 |
1688 | 2025-03-30 07:01:52 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1687 | 2025-03-28 23:04:20 | cubs | 2 | 29872 | 311 | 3.860 | 7738.9 |
1686 | 2025-03-27 13:47:38 | cubs | 2 | 29872 | 311 | 6.093 | 4902.7 |
1685 | 2025-03-26 14:06:00 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1684 | 2025-03-22 03:51:43 | cubs | 2 | 29872 | 311 | 0.893 | 33451.3 |
1683 | 2025-03-15 15:59:33 | cubs | 1 | 13983 | 24 | 0.733 | 19076.4 |
1682 | 2025-03-14 22:22:47 | cubs | 1 | 13983 | 24 | 0.796 | 17566.6 |
1681 | 2025-03-13 03:57:54 | cubs | 1 | 13983 | 24 | 1.343 | 10411.8 |
1680 | 2025-03-11 19:07:13 | cubs | 1 | 13983 | 24 | 0.576 | 24276.0 |
1679 | 2025-03-06 17:57:52 | cubs | 1 | 13983 | 24 | 1.436 | 9737.5 |
1678 | 2025-02-25 11:41:24 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1677 | 2025-02-25 11:14:09 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1676 | 2025-02-23 17:46:38 | cubs | 2 | 29872 | 311 | 2.123 | 14070.7 |
1675 | 2025-02-23 03:11:04 | cubs | 1 | 13983 | 24 | 1.000 | 13983.0 |
1674 | 2025-02-22 19:47:01 | cubs | 2 | 29872 | 311 | 2.593 | 11520.2 |
1673 | 2025-02-19 22:34:46 | cubs | 2 | 29872 | 311 | 4.530 | 6594.3 |
1672 | 2025-02-18 10:07:54 | cubs | 2 | 29872 | 311 | 2.576 | 11596.3 |
1671 | 2025-02-05 00:36:27 | cubs | 2 | 29872 | 311 | 4.610 | 6479.8 |
1670 | 2025-02-04 22:16:28 | cubs | 2 | 29872 | 311 | 0.830 | 35990.4 |
1669 | 2025-02-04 16:54:42 | cubs | 2 | 29872 | 311 | 5.406 | 5525.7 |
1668 | 2025-02-04 16:46:58 | cubs | 1 | 13983 | 24 | 0.686 | 20383.4 |
1667 | 2025-01-26 09:33:50 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1666 | 2025-01-26 09:13:46 | cubs | 1 | 13983 | 24 | 1.346 | 10388.6 |
1665 | 2025-01-24 01:43:35 | cubs | 1 | 13983 | 24 | 0.640 | 21848.4 |
1664 | 2025-01-16 17:01:28 | cubs | 1 | 13983 | 24 | 1.090 | 12828.4 |