History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hires"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1753 | 2025-08-30 07:13:28 | hires | 2 | 53800 | 389 | 1.593 | 33772.8 |
1752 | 2025-08-30 04:09:09 | hires | 1 | 28756 | 22 | 0.470 | 61183.0 |
1751 | 2025-08-28 03:28:43 | hires | 2 | 53800 | 389 | 1.766 | 30464.3 |
1750 | 2025-08-28 00:21:36 | hires | 2 | 53800 | 389 | 1.703 | 31591.3 |
1749 | 2025-08-26 05:01:56 | hires | 2 | 53800 | 389 | 4.296 | 12523.3 |
1748 | 2025-08-22 17:05:09 | hires | 1 | 28756 | 22 | 1.000 | 28756.0 |
1747 | 2025-08-22 16:43:09 | hires | 1 | 28756 | 22 | 0.513 | 56054.6 |
1746 | 2025-08-21 00:21:03 | hires | 2 | 53800 | 389 | 3.700 | 14540.5 |
1745 | 2025-08-17 16:52:34 | hires | 1 | 28756 | 22 | 1.343 | 21411.8 |
1744 | 2025-08-10 15:11:23 | hires | 2 | 53800 | 389 | 3.403 | 15809.6 |
1743 | 2025-08-09 01:24:57 | hires | 1 | 28756 | 22 | 2.373 | 12118.0 |
1742 | 2025-08-07 04:30:30 | hires | 2 | 53800 | 389 | 3.220 | 16708.1 |
1741 | 2025-08-01 03:10:07 | hires | 1 | 28756 | 22 | 1.140 | 25224.6 |
1740 | 2025-07-31 22:40:47 | hires | 1 | 28756 | 22 | 1.140 | 25224.6 |
1739 | 2025-07-31 16:25:37 | hires | 2 | 53800 | 389 | 1.406 | 38264.6 |
1738 | 2025-07-31 11:49:56 | hires | 1 | 28756 | 22 | 0.513 | 56054.6 |
1737 | 2025-07-31 08:50:38 | hires | 1 | 28756 | 22 | 1.530 | 18794.8 |
1736 | 2025-07-30 17:25:01 | hires | 1 | 28756 | 22 | 2.550 | 11276.9 |
1735 | 2025-07-30 15:58:43 | hires | 2 | 53800 | 389 | 8.533 | 6304.9 |
1734 | 2025-07-30 13:42:17 | hires | 2 | 53800 | 389 | 6.843 | 7862.0 |
1733 | 2025-07-29 13:41:56 | hires | 2 | 53800 | 389 | 4.216 | 12760.9 |
1732 | 2025-07-28 11:48:21 | hires | 2 | 53800 | 389 | 3.843 | 13999.5 |
1731 | 2025-07-28 03:04:18 | hires | 2 | 53800 | 389 | 7.626 | 7054.8 |
1730 | 2025-07-28 03:04:10 | hires | 2 | 53800 | 389 | 6.846 | 7858.6 |
1729 | 2025-07-27 18:59:36 | hires | 2 | 53800 | 389 | 7.013 | 7671.5 |
1728 | 2025-07-27 07:42:13 | hires | 2 | 53800 | 389 | 4.143 | 12985.8 |
1727 | 2025-07-26 10:24:19 | hires | 2 | 53800 | 389 | 4.190 | 12840.1 |
1726 | 2025-07-26 10:01:24 | hires | 2 | 53800 | 389 | 3.766 | 14285.7 |
1725 | 2025-07-25 22:59:11 | hires | 2 | 53800 | 389 | 3.076 | 17490.2 |
1724 | 2025-07-25 18:17:04 | hires | 2 | 53800 | 389 | 1.703 | 31591.3 |
1723 | 2025-07-23 22:49:22 | hires | 2 | 53800 | 389 | 9.170 | 5867.0 |
1722 | 2025-07-23 14:49:49 | hires | 2 | 53800 | 389 | 7.796 | 6901.0 |
1721 | 2025-07-22 10:18:06 | hires | 2 | 53800 | 389 | 4.766 | 11288.3 |
1720 | 2025-07-21 13:03:37 | hires | 2 | 53800 | 389 | 7.906 | 6805.0 |
1719 | 2025-07-20 17:14:06 | hires | 2 | 53800 | 389 | 1.750 | 30742.9 |
1718 | 2025-07-19 13:47:38 | hires | 1 | 28756 | 22 | 0.513 | 56054.6 |
1717 | 2025-07-19 12:08:16 | hires | 2 | 53800 | 389 | 1.626 | 33087.3 |
1716 | 2025-07-18 06:44:09 | hires | 2 | 53800 | 389 | 11.266 | 4775.4 |
1715 | 2025-07-17 00:56:30 | hires | 2 | 53800 | 389 | 3.783 | 14221.5 |
1714 | 2025-07-16 18:46:16 | hires | 1 | 28756 | 22 | 0.500 | 57512.0 |
1713 | 2025-07-16 18:37:25 | hires | 1 | 28756 | 22 | 0.516 | 55728.7 |
1712 | 2025-07-16 11:14:47 | hires | 2 | 53800 | 389 | 4.296 | 12523.3 |
1711 | 2025-07-12 05:52:15 | hires | 1 | 28756 | 22 | 0.483 | 59536.2 |
1710 | 2025-07-11 08:29:43 | hires | 1 | 28756 | 22 | 1.360 | 21144.1 |
1709 | 2025-07-08 00:39:16 | hires | 1 | 28756 | 22 | 3.606 | 7974.5 |
1708 | 2025-07-04 14:04:46 | hires | 2 | 53800 | 389 | 8.250 | 6521.2 |
1707 | 2025-07-02 19:18:04 | hires | 2 | 53800 | 389 | 8.580 | 6270.4 |
1706 | 2025-07-02 16:00:57 | hires | 1 | 28756 | 22 | 1.750 | 16432.0 |
1705 | 2025-07-02 02:26:03 | hires | 1 | 28756 | 22 | 3.283 | 8759.1 |
1704 | 2025-06-30 22:47:19 | hires | 1 | 28756 | 22 | 0.466 | 61708.2 |
1703 | 2025-06-29 10:24:53 | hires | 1 | 28756 | 22 | 0.503 | 57169.0 |
1702 | 2025-06-23 10:51:28 | hires | 1 | 28756 | 22 | 0.436 | 65954.1 |
1701 | 2025-06-22 21:20:57 | hires | 1 | 28756 | 22 | 0.686 | 41918.4 |
1700 | 2025-06-19 15:41:10 | hires | 2 | 53800 | 389 | 2.406 | 22360.8 |
1699 | 2025-06-16 17:58:39 | hires | 1 | 28756 | 22 | 2.436 | 11804.6 |
1698 | 2025-06-15 23:18:33 | hires | 1 | 28756 | 22 | 2.703 | 10638.5 |
1697 | 2025-06-15 00:45:48 | hires | 1 | 28756 | 22 | 2.283 | 12595.7 |
1696 | 2025-06-12 05:41:26 | hires | 1 | 28756 | 22 | 1.170 | 24577.8 |
1695 | 2025-06-06 22:16:10 | hires | 2 | 53800 | 389 | 6.360 | 8459.1 |
1694 | 2025-06-06 07:23:09 | hires | 2 | 53800 | 389 | 8.686 | 6193.9 |
1693 | 2025-06-05 18:35:25 | hires | 2 | 53800 | 389 | 1.420 | 37887.3 |
1692 | 2025-06-05 10:28:25 | hires | 1 | 28756 | 22 | 1.470 | 19561.9 |
1691 | 2025-06-03 05:13:36 | hires | 1 | 28756 | 22 | 2.393 | 12016.7 |
1690 | 2025-06-02 02:13:37 | hires | 2 | 53800 | 389 | 7.626 | 7054.8 |
1689 | 2025-06-01 22:50:12 | hires | 2 | 53800 | 389 | 4.580 | 11746.7 |
1688 | 2025-06-01 12:53:12 | hires | 2 | 53800 | 389 | 7.970 | 6750.3 |
1687 | 2025-06-01 12:49:09 | hires | 2 | 53800 | 389 | 1.690 | 31834.3 |
1686 | 2025-06-01 04:41:07 | hires | 1 | 28756 | 22 | 1.030 | 27918.4 |
1685 | 2025-06-01 03:53:43 | hires | 2 | 53800 | 389 | 7.966 | 6753.7 |
1684 | 2025-06-01 01:34:23 | hires | 1 | 28756 | 22 | 0.970 | 29645.4 |
1683 | 2025-05-31 22:26:53 | hires | 1 | 28756 | 22 | 2.563 | 11219.7 |
1682 | 2025-05-30 23:17:46 | hires | 1 | 28756 | 22 | 2.186 | 13154.6 |
1681 | 2025-05-30 12:45:21 | hires | 1 | 28756 | 22 | 1.513 | 19005.9 |
1680 | 2025-05-30 08:42:02 | hires | 2 | 53800 | 389 | 4.390 | 12255.1 |
1679 | 2025-05-27 11:15:42 | hires | 1 | 28756 | 22 | 1.016 | 28303.1 |
1678 | 2025-05-19 15:28:20 | hires | 2 | 53800 | 389 | 1.406 | 38264.6 |
1677 | 2025-05-17 21:53:31 | hires | 1 | 28756 | 22 | 1.296 | 22188.3 |
1676 | 2025-05-14 20:27:53 | hires | 1 | 28756 | 22 | 0.516 | 55728.7 |
1675 | 2025-05-09 19:38:14 | hires | 1 | 28756 | 22 | 2.376 | 12102.7 |
1674 | 2025-05-08 05:23:24 | hires | 1 | 28756 | 22 | 2.000 | 14378.0 |
1673 | 2025-05-05 17:11:47 | hires | 1 | 28756 | 22 | 0.500 | 57512.0 |
1672 | 2025-05-02 14:46:54 | hires | 1 | 28756 | 22 | 2.440 | 11785.2 |
1671 | 2025-05-01 01:58:22 | hires | 1 | 28756 | 22 | 1.360 | 21144.1 |
1670 | 2025-04-30 22:15:21 | hires | 1 | 28756 | 22 | 1.843 | 15602.8 |
1669 | 2025-04-30 16:40:50 | hires | 1 | 28756 | 22 | 2.106 | 13654.3 |
1668 | 2025-04-29 04:22:23 | hires | 1 | 28756 | 22 | 0.500 | 57512.0 |
1667 | 2025-04-29 03:58:31 | hires | 1 | 28756 | 22 | 0.500 | 57512.0 |
1666 | 2025-04-28 18:19:53 | hires | 2 | 53800 | 389 | 1.703 | 31591.3 |
1665 | 2025-04-28 04:05:37 | hires | 2 | 53800 | 389 | 5.703 | 9433.6 |
1664 | 2025-04-27 09:30:11 | hires | 1 | 28756 | 22 | 0.546 | 52666.7 |
1663 | 2025-04-20 17:35:50 | hires | 2 | 53800 | 389 | 1.580 | 34050.6 |
1662 | 2025-04-19 19:12:49 | hires | 1 | 28756 | 22 | 0.453 | 63479.0 |
1661 | 2025-04-19 16:16:55 | hires | 1 | 28756 | 22 | 0.560 | 51350.0 |
1660 | 2025-04-18 12:37:06 | hires | 2 | 53800 | 389 | 7.703 | 6984.3 |
1659 | 2025-04-18 01:41:41 | hires | 2 | 53800 | 389 | 7.266 | 7404.3 |
1658 | 2025-04-16 21:45:19 | hires | 2 | 53800 | 389 | 8.253 | 6518.8 |
1657 | 2025-04-16 17:16:31 | hires | 1 | 28756 | 22 | 0.940 | 30591.5 |
1656 | 2025-04-08 22:56:56 | hires | 2 | 53800 | 389 | 8.236 | 6532.3 |
1655 | 2025-04-07 23:17:23 | hires | 1 | 28756 | 22 | 2.406 | 11951.8 |
1654 | 2025-04-01 03:28:38 | hires | 1 | 28756 | 22 | 0.500 | 57512.0 |