History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mesh"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1701 | 2025-11-04 03:47:49 | mesh | 1 | 13983 | 10 | 0.263 | 53167.3 |
| 1700 | 2025-10-29 08:22:32 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1699 | 2025-10-22 22:06:35 | mesh | 1 | 13983 | 10 | 0.970 | 14415.5 |
| 1698 | 2025-10-19 14:52:58 | mesh | 2 | 29872 | 182 | 4.283 | 6974.6 |
| 1697 | 2025-10-19 13:31:19 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1696 | 2025-10-18 12:09:52 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
| 1695 | 2025-10-17 04:25:12 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
| 1694 | 2025-10-11 11:49:21 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1693 | 2025-10-09 21:14:18 | mesh | 2 | 29872 | 182 | 0.966 | 30923.4 |
| 1692 | 2025-10-09 20:51:05 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1691 | 2025-10-08 01:11:38 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1690 | 2025-10-02 04:43:33 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1689 | 2025-09-27 13:25:04 | mesh | 2 | 29872 | 182 | 0.766 | 38997.4 |
| 1688 | 2025-09-25 15:26:23 | mesh | 2 | 29872 | 182 | 6.596 | 4528.8 |
| 1687 | 2025-09-22 11:35:48 | mesh | 2 | 29872 | 182 | 0.750 | 39829.3 |
| 1686 | 2025-09-22 05:06:59 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1685 | 2025-09-20 03:59:45 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1684 | 2025-09-20 01:51:40 | mesh | 2 | 29872 | 182 | 0.766 | 38997.4 |
| 1683 | 2025-09-18 19:02:53 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
| 1682 | 2025-09-17 11:02:41 | mesh | 2 | 29872 | 182 | 0.910 | 32826.4 |
| 1681 | 2025-09-16 15:35:23 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1680 | 2025-09-14 02:07:17 | mesh | 1 | 13983 | 10 | 0.280 | 49939.3 |
| 1679 | 2025-09-13 12:45:51 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
| 1678 | 2025-09-13 07:38:19 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1677 | 2025-09-08 17:31:47 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1676 | 2025-09-08 01:12:00 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1675 | 2025-09-06 17:07:57 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1674 | 2025-09-05 02:03:06 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
| 1673 | 2025-09-04 13:47:21 | mesh | 2 | 29872 | 182 | 0.906 | 32971.3 |
| 1672 | 2025-09-04 12:01:31 | mesh | 2 | 29872 | 182 | 0.873 | 34217.6 |
| 1671 | 2025-09-04 11:03:02 | mesh | 2 | 29872 | 182 | 0.860 | 34734.9 |
| 1670 | 2025-09-03 10:03:00 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1669 | 2025-09-01 04:47:50 | mesh | 1 | 13983 | 10 | 0.500 | 27966.0 |
| 1668 | 2025-08-31 19:47:59 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1667 | 2025-08-31 02:26:53 | mesh | 1 | 13983 | 10 | 0.486 | 28771.6 |
| 1666 | 2025-08-30 19:36:02 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1665 | 2025-08-26 19:16:12 | mesh | 1 | 13983 | 10 | 0.500 | 27966.0 |
| 1664 | 2025-08-25 19:34:10 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1663 | 2025-08-19 14:47:52 | mesh | 1 | 13983 | 10 | 0.653 | 21413.5 |
| 1662 | 2025-08-18 20:07:09 | mesh | 1 | 13983 | 10 | 0.970 | 14415.5 |
| 1661 | 2025-08-14 09:54:45 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1660 | 2025-08-13 20:46:17 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
| 1659 | 2025-08-13 06:17:53 | mesh | 1 | 13983 | 10 | 0.940 | 14875.5 |
| 1658 | 2025-08-11 05:29:38 | mesh | 1 | 13983 | 10 | 0.496 | 28191.5 |
| 1657 | 2025-08-02 03:07:24 | mesh | 1 | 13983 | 10 | 0.656 | 21315.5 |
| 1656 | 2025-08-01 04:20:54 | mesh | 1 | 13983 | 10 | 1.813 | 7712.6 |
| 1655 | 2025-07-31 16:14:00 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1654 | 2025-07-30 06:40:56 | mesh | 1 | 13983 | 10 | 0.673 | 20777.1 |
| 1653 | 2025-07-27 10:53:27 | mesh | 1 | 13983 | 10 | 0.686 | 20383.4 |
| 1652 | 2025-07-27 03:49:01 | mesh | 1 | 13983 | 10 | 1.220 | 11461.5 |
| 1651 | 2025-07-27 03:45:15 | mesh | 1 | 13983 | 10 | 0.670 | 20870.1 |
| 1650 | 2025-07-14 16:21:27 | mesh | 1 | 13983 | 10 | 0.483 | 28950.3 |
| 1649 | 2025-07-13 04:30:20 | mesh | 1 | 13983 | 10 | 1.143 | 12233.6 |
| 1648 | 2025-07-10 06:25:41 | mesh | 1 | 13983 | 10 | 1.623 | 8615.5 |
| 1647 | 2025-07-09 00:30:40 | mesh | 1 | 13983 | 10 | 0.953 | 14672.6 |
| 1646 | 2025-07-04 13:59:59 | mesh | 2 | 29872 | 182 | 4.470 | 6682.8 |
| 1645 | 2025-07-04 13:33:53 | mesh | 1 | 13983 | 10 | 1.766 | 7917.9 |
| 1644 | 2025-07-03 09:01:57 | mesh | 2 | 29872 | 182 | 0.750 | 39829.3 |
| 1643 | 2025-07-02 22:14:19 | mesh | 2 | 29872 | 182 | 3.766 | 7932.0 |
| 1642 | 2025-06-24 20:27:49 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1641 | 2025-06-23 05:25:37 | mesh | 1 | 13983 | 10 | 0.920 | 15198.9 |
| 1640 | 2025-06-20 07:53:34 | mesh | 1 | 13983 | 10 | 1.203 | 11623.4 |
| 1639 | 2025-06-20 03:25:10 | mesh | 1 | 13983 | 10 | 0.703 | 19890.5 |
| 1638 | 2025-06-19 20:56:57 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1637 | 2025-06-18 15:59:27 | mesh | 1 | 13983 | 10 | 0.703 | 19890.5 |
| 1636 | 2025-06-03 12:40:11 | mesh | 1 | 13983 | 10 | 0.263 | 53167.3 |
| 1635 | 2025-06-03 05:55:58 | mesh | 2 | 29872 | 182 | 4.516 | 6614.7 |
| 1634 | 2025-06-01 13:10:29 | mesh | 2 | 29872 | 182 | 0.910 | 32826.4 |
| 1633 | 2025-05-31 22:53:52 | mesh | 2 | 29872 | 182 | 3.716 | 8038.8 |
| 1632 | 2025-05-31 12:35:36 | mesh | 1 | 13983 | 10 | 0.953 | 14672.6 |
| 1631 | 2025-05-30 09:13:00 | mesh | 1 | 13983 | 10 | 0.436 | 32071.1 |
| 1630 | 2025-05-30 08:44:10 | mesh | 2 | 29872 | 182 | 2.890 | 10336.3 |
| 1629 | 2025-05-30 02:15:10 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1628 | 2025-05-29 02:06:34 | mesh | 1 | 13983 | 10 | 1.670 | 8373.1 |
| 1627 | 2025-05-27 17:20:18 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1626 | 2025-05-23 11:08:33 | mesh | 2 | 29872 | 182 | 1.220 | 24485.2 |
| 1625 | 2025-05-23 09:30:24 | mesh | 2 | 29872 | 182 | 6.126 | 4876.3 |
| 1624 | 2025-05-23 08:39:51 | mesh | 2 | 29872 | 182 | 1.733 | 17237.2 |
| 1623 | 2025-05-20 04:21:52 | mesh | 1 | 13983 | 10 | 1.143 | 12233.6 |
| 1622 | 2025-05-14 15:49:34 | mesh | 1 | 13983 | 10 | 1.356 | 10311.9 |
| 1621 | 2025-05-09 02:31:45 | mesh | 1 | 13983 | 10 | 0.813 | 17199.3 |
| 1620 | 2025-05-08 07:39:48 | mesh | 2 | 29872 | 182 | 4.126 | 7239.9 |
| 1619 | 2025-05-08 03:27:17 | mesh | 1 | 13983 | 10 | 1.110 | 12597.3 |
| 1618 | 2025-05-05 02:34:35 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1617 | 2025-05-04 22:26:56 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1616 | 2025-04-30 19:14:17 | mesh | 2 | 29872 | 182 | 0.873 | 34217.6 |
| 1615 | 2025-04-30 12:56:55 | mesh | 1 | 13983 | 10 | 1.673 | 8358.0 |
| 1614 | 2025-04-29 02:19:05 | mesh | 1 | 13983 | 10 | 0.283 | 49409.9 |
| 1613 | 2025-04-27 00:27:58 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1612 | 2025-04-27 00:20:28 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1611 | 2025-04-27 00:18:00 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
| 1610 | 2025-04-27 00:10:41 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1609 | 2025-04-20 02:25:38 | mesh | 1 | 13983 | 10 | 1.156 | 12096.0 |
| 1608 | 2025-04-14 14:46:11 | mesh | 1 | 13983 | 10 | 0.986 | 14181.5 |
| 1607 | 2025-04-14 00:45:52 | mesh | 1 | 13983 | 10 | 2.296 | 6090.2 |
| 1606 | 2025-04-07 06:37:45 | mesh | 2 | 29872 | 182 | 4.406 | 6779.8 |
| 1605 | 2025-04-07 02:46:09 | mesh | 1 | 13983 | 10 | 2.000 | 6991.5 |
| 1604 | 2025-04-04 01:47:30 | mesh | 2 | 29872 | 182 | 1.766 | 16915.1 |
| 1603 | 2025-04-02 14:18:10 | mesh | 2 | 29872 | 182 | 3.830 | 7799.5 |
| 1602 | 2025-04-02 02:40:00 | mesh | 2 | 29872 | 182 | 3.643 | 8199.8 |