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 |
| 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 |
| 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 |