History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cols"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1815 | 2024-04-02 23:04:33 | cols | 1 | 13983 | 33 | 0.890 | 15711.2 |
1814 | 2024-04-01 15:58:32 | cols | 1 | 13983 | 33 | 0.560 | 24969.6 |
1813 | 2024-03-31 00:53:26 | cols | 1 | 13983 | 33 | 0.546 | 25609.9 |
1812 | 2024-03-31 00:50:48 | cols | 2 | 29872 | 587 | 1.546 | 19322.1 |
1811 | 2024-03-31 00:43:18 | cols | 2 | 29872 | 587 | 1.720 | 17367.4 |
1810 | 2024-03-30 23:55:31 | cols | 1 | 13983 | 33 | 0.826 | 16928.6 |
1809 | 2024-03-25 15:20:13 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1808 | 2024-03-21 15:11:31 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1807 | 2024-03-03 20:24:36 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1806 | 2024-03-02 13:12:43 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1805 | 2024-02-29 21:24:32 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1804 | 2024-02-29 20:14:10 | cols | 2 | 29872 | 587 | 1.796 | 16632.5 |
1803 | 2024-02-25 16:21:44 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1802 | 2024-02-19 21:18:01 | cols | 2 | 29872 | 587 | 1.970 | 15163.5 |
1801 | 2024-02-02 17:39:35 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1800 | 2024-02-02 08:05:59 | cols | 2 | 29872 | 587 | 0.890 | 33564.0 |
1799 | 2024-01-31 07:12:41 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1798 | 2024-01-27 12:11:34 | cols | 2 | 29872 | 587 | 0.856 | 34897.2 |
1797 | 2024-01-25 18:40:45 | cols | 1 | 13983 | 33 | 0.516 | 27098.8 |
1796 | 2024-01-20 18:10:53 | cols | 2 | 29872 | 587 | 0.890 | 33564.0 |
1795 | 2024-01-11 13:32:22 | cols | 2 | 29872 | 587 | 0.923 | 32364.0 |
1794 | 2024-01-10 03:48:47 | cols | 2 | 29872 | 587 | 0.780 | 38297.4 |
1793 | 2023-12-12 07:42:40 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1792 | 2023-12-10 15:59:43 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1791 | 2023-12-10 09:19:35 | cols | 1 | 13983 | 33 | 0.236 | 59250.0 |
1790 | 2023-11-27 04:41:16 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1789 | 2023-11-22 18:16:54 | cols | 1 | 13983 | 33 | 0.283 | 49409.9 |
1788 | 2023-11-17 15:19:43 | cols | 2 | 29872 | 587 | 0.983 | 30388.6 |
1787 | 2023-11-14 23:13:31 | cols | 2 | 29872 | 587 | 0.906 | 32971.3 |
1786 | 2023-11-13 13:54:00 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1785 | 2023-11-10 03:25:38 | cols | 1 | 13983 | 33 | 0.280 | 49939.3 |
1784 | 2023-11-09 10:51:44 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1783 | 2023-11-08 16:47:22 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1782 | 2023-11-08 12:39:06 | cols | 2 | 29872 | 587 | 0.783 | 38150.7 |
1781 | 2023-11-08 11:59:10 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1780 | 2023-10-29 19:14:46 | cols | 2 | 29872 | 587 | 0.876 | 34100.5 |
1779 | 2023-10-27 21:14:31 | cols | 2 | 29872 | 587 | 0.766 | 38997.4 |
1778 | 2023-10-25 22:32:43 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1777 | 2023-10-19 20:32:06 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1776 | 2023-10-18 01:34:58 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1775 | 2023-10-11 21:37:48 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1774 | 2023-10-03 17:03:45 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1773 | 2023-09-25 16:53:52 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1772 | 2023-09-23 11:36:08 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1771 | 2023-09-12 05:36:19 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1770 | 2023-09-11 20:50:10 | cols | 1 | 13983 | 33 | 0.266 | 52567.7 |
1769 | 2023-08-31 14:17:50 | cols | 1 | 13983 | 33 | 0.283 | 49409.9 |
1768 | 2023-08-31 04:26:07 | cols | 2 | 29872 | 587 | 0.780 | 38297.4 |
1767 | 2023-08-18 10:07:01 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1766 | 2023-08-09 03:06:38 | cols | 2 | 29872 | 587 | 0.796 | 37527.6 |
1765 | 2023-07-19 07:31:27 | cols | 2 | 29872 | 587 | 0.860 | 34734.9 |
1764 | 2023-07-11 17:56:09 | cols | 2 | 29872 | 587 | 0.860 | 34734.9 |
1763 | 2023-06-25 11:07:30 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1762 | 2023-06-21 12:59:11 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1761 | 2023-05-31 08:11:53 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1760 | 2023-04-15 22:28:41 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1759 | 2023-04-13 14:31:25 | cols | 1 | 13983 | 33 | 0.236 | 59250.0 |
1758 | 2023-04-04 01:36:07 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1757 | 2023-03-31 12:54:25 | cols | 2 | 29872 | 587 | 0.783 | 38150.7 |
1756 | 2023-03-29 22:14:38 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1755 | 2023-03-27 03:30:15 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1754 | 2023-03-19 07:20:59 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1753 | 2023-02-25 11:35:25 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1752 | 2023-01-31 22:21:28 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1751 | 2023-01-16 11:02:45 | cols | 2 | 29872 | 587 | 0.843 | 35435.3 |
1750 | 2023-01-16 06:53:02 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1749 | 2023-01-13 12:11:03 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1748 | 2023-01-12 01:32:58 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1747 | 2022-12-20 04:55:02 | cols | 2 | 29872 | 587 | 0.953 | 31345.2 |
1746 | 2022-12-16 05:27:58 | cols | 2 | 29872 | 587 | 0.890 | 33564.0 |
1745 | 2022-12-02 05:31:07 | cols | 2 | 29872 | 587 | 0.843 | 35435.3 |
1744 | 2022-11-27 08:29:35 | cols | 2 | 29872 | 587 | 0.890 | 33564.0 |
1743 | 2022-11-26 05:38:10 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1742 | 2022-11-24 15:01:59 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1741 | 2022-11-22 20:47:51 | cols | 1 | 13983 | 33 | 0.253 | 55268.8 |
1740 | 2022-11-16 16:22:48 | cols | 2 | 29872 | 587 | 0.813 | 36742.9 |
1739 | 2022-11-11 11:08:28 | cols | 2 | 29872 | 587 | 0.923 | 32364.0 |
1738 | 2022-11-07 15:56:29 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1737 | 2022-10-29 17:05:54 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1736 | 2022-10-11 13:48:18 | cols | 2 | 29872 | 587 | 0.763 | 39150.7 |
1735 | 2022-09-26 05:12:42 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1734 | 2022-09-19 05:08:48 | cols | 2 | 29872 | 587 | 0.750 | 39829.3 |
1733 | 2022-09-10 12:58:43 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1732 | 2022-08-23 14:17:06 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1731 | 2022-08-22 11:33:23 | cols | 1 | 13983 | 33 | 0.216 | 64736.1 |
1730 | 2022-08-18 22:10:28 | cols | 1 | 13983 | 33 | 0.250 | 55932.0 |
1729 | 2022-08-17 10:59:04 | cols | 2 | 29872 | 587 | 0.860 | 34734.9 |
1728 | 2022-08-12 12:16:20 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1727 | 2022-08-10 05:26:54 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1726 | 2022-07-29 13:38:47 | cols | 2 | 29872 | 587 | 0.813 | 36742.9 |
1725 | 2022-07-18 17:47:55 | cols | 1 | 13983 | 33 | 0.233 | 60012.9 |
1724 | 2022-07-17 22:06:52 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1723 | 2022-06-27 16:35:35 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1722 | 2022-06-25 09:41:22 | cols | 1 | 13983 | 33 | 0.236 | 59250.0 |
1721 | 2022-06-24 20:24:04 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1720 | 2022-06-21 22:22:15 | cols | 2 | 29872 | 587 | 0.780 | 38297.4 |
1719 | 2022-06-13 05:45:31 | cols | 2 | 29872 | 587 | 0.766 | 38997.4 |
1718 | 2022-06-09 21:17:56 | cols | 2 | 29872 | 587 | 0.766 | 38997.4 |
1717 | 2022-05-21 03:45:14 | cols | 1 | 13983 | 33 | 0.220 | 63559.1 |
1716 | 2022-05-10 06:53:12 | cols | 2 | 29872 | 587 | 0.876 | 34100.5 |