History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1756 | 2025-09-01 04:39:35 | lows | 1 | 13983 | 32 | 0.466 | 30006.4 |
1755 | 2025-08-27 14:16:09 | lows | 1 | 13983 | 32 | 0.813 | 17199.3 |
1754 | 2025-08-27 13:17:16 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1753 | 2025-08-27 10:16:49 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1752 | 2025-08-27 03:21:04 | lows | 1 | 13983 | 32 | 0.610 | 22923.0 |
1751 | 2025-08-27 00:03:05 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1750 | 2025-08-17 16:38:23 | lows | 1 | 13983 | 32 | 0.673 | 20777.1 |
1749 | 2025-08-12 16:56:09 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1748 | 2025-08-09 02:58:50 | lows | 1 | 13983 | 32 | 0.483 | 28950.3 |
1747 | 2025-08-04 13:22:32 | lows | 1 | 13983 | 32 | 0.673 | 20777.1 |
1746 | 2025-08-01 10:54:08 | lows | 1 | 13983 | 32 | 0.653 | 21413.5 |
1745 | 2025-07-27 22:44:39 | lows | 2 | 29872 | 474 | 2.000 | 14936.0 |
1744 | 2025-07-27 14:45:53 | lows | 2 | 29872 | 474 | 2.640 | 11315.2 |
1743 | 2025-07-27 02:07:31 | lows | 2 | 29872 | 474 | 1.846 | 16182.0 |
1742 | 2025-07-27 00:26:07 | lows | 1 | 13983 | 32 | 0.750 | 18644.0 |
1741 | 2025-07-26 17:36:06 | lows | 2 | 29872 | 474 | 4.700 | 6355.7 |
1740 | 2025-07-26 08:40:47 | lows | 1 | 13983 | 32 | 0.263 | 53167.3 |
1739 | 2025-07-25 22:33:28 | lows | 2 | 29872 | 474 | 3.750 | 7965.9 |
1738 | 2025-07-22 01:40:12 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1737 | 2025-07-17 12:32:42 | lows | 1 | 13983 | 32 | 0.923 | 15149.5 |
1736 | 2025-07-13 08:48:56 | lows | 2 | 29872 | 474 | 0.950 | 31444.2 |
1735 | 2025-07-11 10:49:30 | lows | 2 | 29872 | 474 | 4.560 | 6550.9 |
1734 | 2025-07-10 07:06:04 | lows | 2 | 29872 | 474 | 2.076 | 14389.2 |
1733 | 2025-07-09 02:33:10 | lows | 1 | 13983 | 32 | 1.203 | 11623.4 |
1732 | 2025-07-02 13:26:53 | lows | 1 | 13983 | 32 | 1.403 | 9966.5 |
1731 | 2025-06-30 10:13:29 | lows | 1 | 13983 | 32 | 0.783 | 17858.2 |
1730 | 2025-06-28 00:05:21 | lows | 1 | 13983 | 32 | 2.170 | 6443.8 |
1729 | 2025-06-26 20:38:48 | lows | 1 | 13983 | 32 | 0.983 | 14224.8 |
1728 | 2025-06-26 13:49:25 | lows | 1 | 13983 | 32 | 1.110 | 12597.3 |
1727 | 2025-06-21 19:34:01 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1726 | 2025-06-18 07:55:08 | lows | 1 | 13983 | 32 | 1.876 | 7453.6 |
1725 | 2025-06-16 18:10:32 | lows | 1 | 13983 | 32 | 1.263 | 11071.3 |
1724 | 2025-06-15 10:44:34 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1723 | 2025-06-08 03:03:18 | lows | 1 | 13983 | 32 | 1.373 | 10184.3 |
1722 | 2025-06-06 17:29:47 | lows | 2 | 29872 | 474 | 0.906 | 32971.3 |
1721 | 2025-06-05 12:35:32 | lows | 2 | 29872 | 474 | 4.063 | 7352.2 |
1720 | 2025-06-04 08:10:13 | lows | 2 | 29872 | 474 | 2.890 | 10336.3 |
1719 | 2025-06-03 16:42:10 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1718 | 2025-06-02 13:11:34 | lows | 1 | 13983 | 32 | 1.390 | 10059.7 |
1717 | 2025-06-01 17:28:11 | lows | 1 | 13983 | 32 | 0.483 | 28950.3 |
1716 | 2025-06-01 00:22:44 | lows | 1 | 13983 | 32 | 1.360 | 10281.6 |
1715 | 2025-05-30 10:28:40 | lows | 1 | 13983 | 32 | 1.470 | 9512.2 |
1714 | 2025-05-30 00:02:32 | lows | 2 | 29872 | 474 | 1.376 | 21709.3 |
1713 | 2025-05-29 19:26:33 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1712 | 2025-05-29 09:47:38 | lows | 1 | 13983 | 32 | 1.326 | 10545.2 |
1711 | 2025-05-29 08:03:01 | lows | 2 | 29872 | 474 | 3.580 | 8344.1 |
1710 | 2025-05-28 11:15:53 | lows | 2 | 29872 | 474 | 0.983 | 30388.6 |
1709 | 2025-05-23 20:58:48 | lows | 1 | 13983 | 32 | 1.860 | 7517.7 |
1708 | 2025-05-18 09:29:04 | lows | 1 | 13983 | 32 | 0.673 | 20777.1 |
1707 | 2025-05-12 01:59:50 | lows | 1 | 13983 | 32 | 0.703 | 19890.5 |
1706 | 2025-05-12 00:08:52 | lows | 1 | 13983 | 32 | 1.703 | 8210.8 |
1705 | 2025-05-09 11:17:28 | lows | 1 | 13983 | 32 | 0.516 | 27098.8 |
1704 | 2025-05-08 03:15:19 | lows | 2 | 29872 | 474 | 6.483 | 4607.7 |
1703 | 2025-05-07 02:05:04 | lows | 1 | 13983 | 32 | 0.656 | 21315.5 |
1702 | 2025-05-05 06:47:05 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1701 | 2025-05-04 08:06:12 | lows | 2 | 29872 | 474 | 2.390 | 12498.7 |
1700 | 2025-05-03 16:29:24 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1699 | 2025-05-01 13:00:38 | lows | 1 | 13983 | 32 | 1.360 | 10281.6 |
1698 | 2025-04-30 22:15:41 | lows | 1 | 13983 | 32 | 0.843 | 16587.2 |
1697 | 2025-04-28 10:06:54 | lows | 1 | 13983 | 32 | 1.063 | 13154.3 |
1696 | 2025-04-27 05:36:02 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1695 | 2025-04-27 05:33:01 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1694 | 2025-04-27 05:30:33 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1693 | 2025-04-27 05:12:57 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1692 | 2025-04-22 22:57:10 | lows | 2 | 29872 | 474 | 4.343 | 6878.2 |
1691 | 2025-04-18 01:58:37 | lows | 1 | 13983 | 32 | 0.796 | 17566.6 |
1690 | 2025-04-17 14:15:59 | lows | 1 | 13983 | 32 | 1.546 | 9044.6 |
1689 | 2025-04-16 00:49:23 | lows | 2 | 29872 | 474 | 2.250 | 13276.4 |
1688 | 2025-04-07 02:49:52 | lows | 2 | 29872 | 474 | 3.233 | 9239.7 |
1687 | 2025-04-06 02:31:52 | lows | 1 | 13983 | 32 | 1.220 | 11461.5 |
1686 | 2025-04-05 05:04:45 | lows | 1 | 13983 | 32 | 0.263 | 53167.3 |
1685 | 2025-04-04 16:53:25 | lows | 2 | 29872 | 474 | 4.203 | 7107.3 |
1684 | 2025-04-04 07:34:44 | lows | 2 | 29872 | 474 | 4.093 | 7298.3 |
1683 | 2025-04-04 00:23:31 | lows | 2 | 29872 | 474 | 5.890 | 5071.6 |
1682 | 2025-04-03 16:08:50 | lows | 1 | 13983 | 32 | 1.310 | 10674.0 |
1681 | 2025-04-02 13:12:02 | lows | 2 | 29872 | 474 | 3.516 | 8496.0 |
1680 | 2025-03-31 15:40:50 | lows | 1 | 13983 | 32 | 1.733 | 8068.7 |
1679 | 2025-03-30 20:56:51 | lows | 1 | 13983 | 32 | 1.220 | 11461.5 |
1678 | 2025-03-27 12:40:19 | lows | 1 | 13983 | 32 | 1.890 | 7398.4 |
1677 | 2025-03-25 15:40:41 | lows | 1 | 13983 | 32 | 1.360 | 10281.6 |
1676 | 2025-03-24 12:04:44 | lows | 1 | 13983 | 32 | 1.093 | 12793.2 |
1675 | 2025-03-19 15:37:49 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1674 | 2025-03-19 03:55:43 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1673 | 2025-03-14 22:10:34 | lows | 1 | 13983 | 32 | 1.576 | 8872.5 |
1672 | 2025-03-06 18:53:45 | lows | 2 | 29872 | 474 | 2.203 | 13559.7 |
1671 | 2025-03-06 17:38:43 | lows | 1 | 13983 | 32 | 0.703 | 19890.5 |
1670 | 2025-03-06 11:07:12 | lows | 1 | 13983 | 32 | 1.436 | 9737.5 |
1669 | 2025-03-03 15:48:37 | lows | 1 | 13983 | 32 | 1.016 | 13762.8 |
1668 | 2025-02-26 08:02:02 | lows | 2 | 29872 | 474 | 1.966 | 15194.3 |
1667 | 2025-02-26 07:06:59 | lows | 2 | 29872 | 474 | 2.173 | 13746.9 |
1666 | 2025-02-26 05:41:32 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1665 | 2025-02-24 04:19:49 | lows | 1 | 13983 | 32 | 1.936 | 7222.6 |
1664 | 2025-02-23 03:38:10 | lows | 1 | 13983 | 32 | 0.860 | 16259.3 |
1663 | 2025-02-04 15:14:03 | lows | 1 | 13983 | 32 | 1.173 | 11920.7 |
1662 | 2025-01-26 17:47:37 | lows | 2 | 29872 | 474 | 2.173 | 13746.9 |
1661 | 2025-01-26 17:13:27 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1660 | 2025-01-26 15:33:44 | lows | 1 | 13983 | 32 | 2.046 | 6834.3 |
1659 | 2025-01-25 23:39:56 | lows | 2 | 29872 | 474 | 4.343 | 6878.2 |
1658 | 2025-01-25 09:09:58 | lows | 2 | 29872 | 474 | 6.500 | 4595.7 |
1657 | 2025-01-25 02:01:12 | lows | 2 | 29872 | 474 | 4.000 | 7468.0 |