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 |
| 1844 | 2025-12-21 17:25:56 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1843 | 2025-12-21 10:01:21 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1842 | 2025-12-18 19:00:41 | cubs | 1 | 13983 | 24 | 1.436 | 9737.5 |
| 1841 | 2025-12-18 19:00:35 | cubs | 1 | 13983 | 24 | 1.033 | 13536.3 |
| 1840 | 2025-12-18 09:32:51 | cubs | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1839 | 2025-12-14 14:50:06 | cubs | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1838 | 2025-12-05 06:31:19 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1837 | 2025-12-02 00:37:21 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1836 | 2025-11-28 14:28:13 | cubs | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1835 | 2025-11-28 10:53:11 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1834 | 2025-11-26 20:01:48 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1833 | 2025-11-26 15:46:47 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1832 | 2025-11-24 15:18:36 | cubs | 1 | 13983 | 24 | 1.516 | 9223.6 |
| 1831 | 2025-11-23 08:12:00 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1830 | 2025-11-22 15:57:19 | cubs | 2 | 29872 | 311 | 1.546 | 19322.1 |
| 1829 | 2025-11-18 05:02:58 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1828 | 2025-11-17 03:48:40 | cubs | 1 | 13983 | 24 | 0.513 | 27257.3 |
| 1827 | 2025-11-16 04:42:24 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1826 | 2025-11-16 02:09:40 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1825 | 2025-11-14 18:37:22 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1824 | 2025-11-14 09:30:04 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1823 | 2025-11-14 04:01:57 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1822 | 2025-11-13 16:33:13 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1821 | 2025-11-13 14:07:38 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1820 | 2025-11-13 06:03:54 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1819 | 2025-11-13 00:35:16 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1818 | 2025-11-12 20:08:07 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1817 | 2025-11-10 20:24:28 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1816 | 2025-11-10 17:02:32 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1815 | 2025-11-03 21:38:55 | cubs | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1814 | 2025-11-02 18:40:47 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1813 | 2025-11-02 00:38:47 | cubs | 1 | 13983 | 24 | 0.813 | 17199.3 |
| 1812 | 2025-10-28 12:54:48 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1811 | 2025-10-26 21:09:25 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1810 | 2025-10-25 16:46:21 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1809 | 2025-10-25 15:27:55 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1808 | 2025-10-17 05:06:19 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1807 | 2025-10-15 05:34:48 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1806 | 2025-10-15 03:05:48 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1805 | 2025-10-12 20:57:38 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1804 | 2025-10-11 01:06:43 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1803 | 2025-09-28 12:01:46 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1802 | 2025-09-21 16:46:10 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1801 | 2025-09-20 02:37:42 | cubs | 1 | 13983 | 24 | 0.453 | 30867.5 |
| 1800 | 2025-09-19 09:07:21 | cubs | 2 | 29872 | 311 | 0.890 | 33564.0 |
| 1799 | 2025-09-18 18:18:11 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1798 | 2025-09-18 01:11:27 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1797 | 2025-09-17 18:38:52 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1796 | 2025-09-16 17:37:11 | cubs | 2 | 29872 | 311 | 0.860 | 34734.9 |
| 1795 | 2025-09-15 06:18:58 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1794 | 2025-09-14 17:18:31 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1793 | 2025-09-11 22:59:41 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1792 | 2025-09-11 20:57:36 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1791 | 2025-09-11 18:19:08 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1790 | 2025-09-11 18:18:53 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1789 | 2025-09-11 09:21:30 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1788 | 2025-09-08 02:21:59 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1787 | 2025-09-07 03:13:18 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1786 | 2025-09-04 19:22:35 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1785 | 2025-09-01 12:01:51 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1784 | 2025-08-30 15:43:42 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1783 | 2025-08-29 04:24:20 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1782 | 2025-08-28 11:58:22 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1781 | 2025-08-26 20:49:16 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1780 | 2025-08-25 21:29:50 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1779 | 2025-08-25 02:59:55 | cubs | 2 | 29872 | 311 | 2.893 | 10325.6 |
| 1778 | 2025-08-24 11:05:40 | cubs | 2 | 29872 | 311 | 6.813 | 4384.6 |
| 1777 | 2025-08-22 13:16:24 | cubs | 2 | 29872 | 311 | 0.920 | 32469.6 |
| 1776 | 2025-08-22 13:04:45 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1775 | 2025-08-21 09:48:30 | cubs | 2 | 29872 | 311 | 2.076 | 14389.2 |
| 1774 | 2025-08-18 12:07:40 | cubs | 2 | 29872 | 311 | 1.330 | 22460.2 |
| 1773 | 2025-08-15 19:51:43 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1772 | 2025-08-14 13:31:19 | cubs | 1 | 13983 | 24 | 0.203 | 68881.8 |
| 1771 | 2025-08-14 13:31:00 | cubs | 2 | 29872 | 311 | 0.780 | 38297.4 |
| 1770 | 2025-08-13 07:05:54 | cubs | 1 | 13983 | 24 | 0.780 | 17926.9 |
| 1769 | 2025-08-12 18:05:23 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1768 | 2025-08-06 01:47:04 | cubs | 2 | 29872 | 311 | 3.296 | 9063.1 |
| 1767 | 2025-08-04 06:32:08 | cubs | 1 | 13983 | 24 | 0.813 | 17199.3 |
| 1766 | 2025-08-02 22:02:08 | cubs | 1 | 13983 | 24 | 0.673 | 20777.1 |
| 1765 | 2025-08-02 04:25:29 | cubs | 1 | 13983 | 24 | 0.580 | 24108.6 |
| 1764 | 2025-08-01 04:43:38 | cubs | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 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 |