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 |
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 |
1601 | 2025-03-31 07:56:12 | mesh | 2 | 29872 | 182 | 2.610 | 11445.2 |
1600 | 2025-03-30 23:30:53 | mesh | 2 | 29872 | 182 | 5.250 | 5689.9 |
1599 | 2025-03-30 12:23:31 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1598 | 2025-03-30 02:16:48 | mesh | 2 | 29872 | 182 | 0.733 | 40753.1 |
1597 | 2025-03-29 14:38:07 | mesh | 1 | 13983 | 10 | 0.940 | 14875.5 |
1596 | 2025-03-18 15:02:39 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
1595 | 2025-03-14 21:10:25 | mesh | 1 | 13983 | 10 | 2.016 | 6936.0 |
1594 | 2025-03-10 22:13:27 | mesh | 2 | 29872 | 182 | 4.203 | 7107.3 |
1593 | 2025-03-07 03:03:13 | mesh | 2 | 29872 | 182 | 5.093 | 5865.3 |
1592 | 2025-03-07 02:29:32 | mesh | 1 | 13983 | 10 | 1.876 | 7453.6 |
1591 | 2025-03-06 19:34:58 | mesh | 1 | 13983 | 10 | 1.313 | 10649.7 |
1590 | 2025-02-25 23:52:39 | mesh | 2 | 29872 | 182 | 2.593 | 11520.2 |
1589 | 2025-02-25 12:57:04 | mesh | 2 | 29872 | 182 | 5.126 | 5827.5 |
1588 | 2025-02-25 08:33:43 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1587 | 2025-02-24 21:50:41 | mesh | 1 | 13983 | 10 | 0.280 | 49939.3 |
1586 | 2025-02-23 03:25:26 | mesh | 1 | 13983 | 10 | 1.046 | 13368.1 |
1585 | 2025-02-18 07:08:44 | mesh | 1 | 13983 | 10 | 0.813 | 17199.3 |
1584 | 2025-02-14 07:51:10 | mesh | 1 | 13983 | 10 | 0.686 | 20383.4 |
1583 | 2025-02-04 22:27:01 | mesh | 1 | 13983 | 10 | 1.813 | 7712.6 |
1582 | 2025-02-01 00:35:22 | mesh | 1 | 13983 | 10 | 0.546 | 25609.9 |
1581 | 2025-01-26 06:56:45 | mesh | 2 | 29872 | 182 | 3.436 | 8693.8 |
1580 | 2025-01-26 06:25:00 | mesh | 2 | 29872 | 182 | 3.426 | 8719.2 |
1579 | 2025-01-26 06:00:52 | mesh | 2 | 29872 | 182 | 4.250 | 7028.7 |
1578 | 2025-01-26 05:48:25 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1577 | 2025-01-25 19:38:40 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1576 | 2025-01-24 01:57:26 | mesh | 1 | 13983 | 10 | 1.530 | 9139.2 |
1575 | 2025-01-11 17:48:30 | mesh | 1 | 13983 | 10 | 0.953 | 14672.6 |
1574 | 2025-01-05 19:51:22 | mesh | 1 | 13983 | 10 | 1.140 | 12265.8 |
1573 | 2024-12-27 06:41:19 | mesh | 2 | 29872 | 182 | 4.906 | 6088.9 |
1572 | 2024-12-27 05:52:21 | mesh | 2 | 29872 | 182 | 4.063 | 7352.2 |
1571 | 2024-12-27 05:37:07 | mesh | 1 | 13983 | 10 | 0.216 | 64736.1 |
1570 | 2024-12-26 17:38:13 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |