History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tory"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1765 | 2025-12-04 20:56:03 | tory | 1 | 13983 | 23 | 0.283 | 49409.9 |
| 1764 | 2025-11-23 22:29:40 | tory | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1763 | 2025-11-23 22:27:51 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1762 | 2025-11-23 18:34:31 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1761 | 2025-11-23 12:08:39 | tory | 2 | 29872 | 343 | 0.766 | 38997.4 |
| 1760 | 2025-11-22 15:21:22 | tory | 2 | 29872 | 343 | 0.860 | 34734.9 |
| 1759 | 2025-11-20 01:07:14 | tory | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1758 | 2025-11-16 08:04:14 | tory | 1 | 13983 | 23 | 0.236 | 59250.0 |
| 1757 | 2025-11-16 00:31:54 | tory | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1756 | 2025-11-14 13:06:13 | tory | 1 | 13983 | 23 | 0.516 | 27098.8 |
| 1755 | 2025-11-13 17:57:08 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1754 | 2025-11-13 16:21:58 | tory | 1 | 13983 | 23 | 0.296 | 47239.9 |
| 1753 | 2025-11-12 20:00:35 | tory | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1752 | 2025-11-10 21:55:45 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1751 | 2025-11-08 23:24:48 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1750 | 2025-11-06 07:18:19 | tory | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1749 | 2025-11-04 09:00:07 | tory | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1748 | 2025-10-31 17:27:10 | tory | 2 | 29872 | 343 | 0.920 | 32469.6 |
| 1747 | 2025-10-30 12:24:34 | tory | 2 | 29872 | 343 | 0.813 | 36742.9 |
| 1746 | 2025-10-25 11:54:00 | tory | 2 | 29872 | 343 | 0.813 | 36742.9 |
| 1745 | 2025-10-24 23:11:02 | tory | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1744 | 2025-10-24 14:09:18 | tory | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1743 | 2025-10-10 23:39:00 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1742 | 2025-10-08 11:05:07 | tory | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1741 | 2025-09-25 03:32:09 | tory | 2 | 29872 | 343 | 0.953 | 31345.2 |
| 1740 | 2025-09-25 02:09:31 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1739 | 2025-09-24 18:43:54 | tory | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1738 | 2025-09-22 03:44:45 | tory | 1 | 13983 | 23 | 0.220 | 63559.1 |
| 1737 | 2025-09-16 10:32:04 | tory | 1 | 13983 | 23 | 0.530 | 26383.0 |
| 1736 | 2025-09-09 16:02:21 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1735 | 2025-09-06 04:13:05 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1734 | 2025-09-03 07:41:28 | tory | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1733 | 2025-08-25 00:43:17 | tory | 1 | 13983 | 23 | 0.673 | 20777.1 |
| 1732 | 2025-08-22 15:24:35 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1731 | 2025-08-16 22:15:56 | tory | 1 | 13983 | 23 | 1.156 | 12096.0 |
| 1730 | 2025-08-14 20:22:46 | tory | 1 | 13983 | 23 | 0.686 | 20383.4 |
| 1729 | 2025-08-09 08:48:40 | tory | 1 | 13983 | 23 | 1.140 | 12265.8 |
| 1728 | 2025-08-05 10:39:26 | tory | 2 | 29872 | 343 | 2.266 | 13182.7 |
| 1727 | 2025-08-04 09:03:38 | tory | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1726 | 2025-08-01 17:12:36 | tory | 2 | 29872 | 343 | 4.233 | 7056.9 |
| 1725 | 2025-08-01 14:22:03 | tory | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1724 | 2025-07-31 15:18:50 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1723 | 2025-07-31 07:45:10 | tory | 1 | 13983 | 23 | 0.533 | 26234.5 |
| 1722 | 2025-07-28 05:29:37 | tory | 2 | 29872 | 343 | 1.766 | 16915.1 |
| 1721 | 2025-07-27 20:24:07 | tory | 2 | 29872 | 343 | 1.813 | 16476.6 |
| 1720 | 2025-07-27 11:48:48 | tory | 1 | 13983 | 23 | 1.186 | 11790.1 |
| 1719 | 2025-07-26 20:42:43 | tory | 2 | 29872 | 343 | 1.783 | 16753.8 |
| 1718 | 2025-07-23 16:48:24 | tory | 1 | 13983 | 23 | 1.720 | 8129.7 |
| 1717 | 2025-07-23 05:26:55 | tory | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1716 | 2025-07-22 02:30:36 | tory | 2 | 29872 | 343 | 0.856 | 34897.2 |
| 1715 | 2025-07-18 19:17:54 | tory | 2 | 29872 | 343 | 4.546 | 6571.1 |
| 1714 | 2025-07-17 14:45:13 | tory | 1 | 13983 | 23 | 0.906 | 15433.8 |
| 1713 | 2025-07-07 11:43:12 | tory | 2 | 29872 | 343 | 3.393 | 8804.0 |
| 1712 | 2025-07-07 01:04:15 | tory | 1 | 13983 | 23 | 1.923 | 7271.5 |
| 1711 | 2025-07-06 08:40:11 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1710 | 2025-07-04 18:27:37 | tory | 2 | 29872 | 343 | 0.890 | 33564.0 |
| 1709 | 2025-07-02 09:43:10 | tory | 2 | 29872 | 343 | 4.920 | 6071.5 |
| 1708 | 2025-06-29 07:40:59 | tory | 1 | 13983 | 23 | 1.560 | 8963.5 |
| 1707 | 2025-06-27 03:45:48 | tory | 1 | 13983 | 23 | 1.350 | 10357.8 |
| 1706 | 2025-06-19 07:39:55 | tory | 2 | 29872 | 343 | 4.280 | 6979.4 |
| 1705 | 2025-06-18 11:11:52 | tory | 1 | 13983 | 23 | 1.080 | 12947.2 |
| 1704 | 2025-06-15 22:55:43 | tory | 1 | 13983 | 23 | 1.406 | 9945.2 |
| 1703 | 2025-06-15 06:59:21 | tory | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1702 | 2025-06-09 16:59:46 | tory | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1701 | 2025-06-06 11:08:17 | tory | 2 | 29872 | 343 | 2.296 | 13010.5 |
| 1700 | 2025-06-06 07:35:03 | tory | 1 | 13983 | 23 | 1.046 | 13368.1 |
| 1699 | 2025-06-05 09:19:02 | tory | 2 | 29872 | 343 | 6.940 | 4304.3 |
| 1698 | 2025-06-04 23:11:30 | tory | 2 | 29872 | 343 | 4.500 | 6638.2 |
| 1697 | 2025-06-04 14:55:07 | tory | 2 | 29872 | 343 | 4.580 | 6522.3 |
| 1696 | 2025-06-04 00:36:26 | tory | 2 | 29872 | 343 | 2.640 | 11315.2 |
| 1695 | 2025-06-03 01:45:51 | tory | 1 | 13983 | 23 | 0.500 | 27966.0 |
| 1694 | 2025-06-02 08:38:38 | tory | 2 | 29872 | 343 | 2.203 | 13559.7 |
| 1693 | 2025-06-01 09:09:12 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1692 | 2025-05-30 18:18:13 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1691 | 2025-05-30 14:23:09 | tory | 1 | 13983 | 23 | 1.186 | 11790.1 |
| 1690 | 2025-05-30 08:52:19 | tory | 1 | 13983 | 23 | 1.390 | 10059.7 |
| 1689 | 2025-05-29 13:35:18 | tory | 1 | 13983 | 23 | 1.190 | 11750.4 |
| 1688 | 2025-05-29 07:12:13 | tory | 1 | 13983 | 23 | 1.280 | 10924.2 |
| 1687 | 2025-05-26 01:11:21 | tory | 1 | 13983 | 23 | 1.140 | 12265.8 |
| 1686 | 2025-05-22 00:40:49 | tory | 1 | 13983 | 23 | 1.000 | 13983.0 |
| 1685 | 2025-05-22 00:26:52 | tory | 1 | 13983 | 23 | 1.420 | 9847.2 |
| 1684 | 2025-05-20 05:06:13 | tory | 1 | 13983 | 23 | 1.546 | 9044.6 |
| 1683 | 2025-05-19 10:28:14 | tory | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1682 | 2025-05-15 22:46:50 | tory | 1 | 13983 | 23 | 1.450 | 9643.4 |
| 1681 | 2025-05-08 13:10:51 | tory | 1 | 13983 | 23 | 1.360 | 10281.6 |
| 1680 | 2025-05-06 08:00:16 | tory | 1 | 13983 | 23 | 1.656 | 8443.8 |
| 1679 | 2025-05-05 14:17:07 | tory | 2 | 29872 | 343 | 0.983 | 30388.6 |
| 1678 | 2025-05-05 00:18:51 | tory | 1 | 13983 | 23 | 1.393 | 10038.0 |
| 1677 | 2025-05-02 08:51:17 | tory | 2 | 29872 | 343 | 3.530 | 8462.3 |
| 1676 | 2025-05-01 09:11:30 | tory | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1675 | 2025-04-30 00:35:50 | tory | 2 | 29872 | 343 | 5.533 | 5398.9 |
| 1674 | 2025-04-29 13:06:24 | tory | 1 | 13983 | 23 | 1.356 | 10311.9 |
| 1673 | 2025-04-28 13:49:28 | tory | 1 | 13983 | 23 | 0.673 | 20777.1 |
| 1672 | 2025-04-28 07:46:00 | tory | 1 | 13983 | 23 | 0.860 | 16259.3 |
| 1671 | 2025-04-20 00:17:06 | tory | 1 | 13983 | 23 | 0.923 | 15149.5 |
| 1670 | 2025-04-16 15:30:31 | tory | 2 | 29872 | 343 | 2.876 | 10386.6 |
| 1669 | 2025-04-13 23:00:59 | tory | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1668 | 2025-04-06 06:58:10 | tory | 1 | 13983 | 23 | 0.300 | 46610.0 |
| 1667 | 2025-03-31 11:51:48 | tory | 1 | 13983 | 23 | 1.000 | 13983.0 |
| 1666 | 2025-03-25 09:23:03 | tory | 1 | 13983 | 23 | 0.516 | 27098.8 |