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 |
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 |
1569 | 2024-12-25 01:43:26 | mesh | 1 | 13983 | 10 | 0.690 | 20265.2 |
1568 | 2024-12-06 11:31:06 | mesh | 2 | 29872 | 182 | 2.313 | 12914.8 |
1567 | 2024-12-06 11:29:32 | mesh | 1 | 13983 | 10 | 1.343 | 10411.8 |
1566 | 2024-11-27 05:48:51 | mesh | 2 | 29872 | 182 | 2.736 | 10918.1 |
1565 | 2024-11-27 04:31:05 | mesh | 2 | 29872 | 182 | 3.956 | 7551.1 |
1564 | 2024-11-27 03:08:27 | mesh | 1 | 13983 | 10 | 0.200 | 69915.0 |
1563 | 2024-11-26 17:26:41 | mesh | 1 | 13983 | 10 | 2.546 | 5492.1 |
1562 | 2024-11-24 23:00:50 | mesh | 1 | 13983 | 10 | 0.826 | 16928.6 |
1561 | 2024-11-06 09:07:48 | mesh | 2 | 29872 | 182 | 2.203 | 13559.7 |
1560 | 2024-11-06 08:02:13 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1559 | 2024-10-28 05:39:47 | mesh | 2 | 29872 | 182 | 3.330 | 8970.6 |
1558 | 2024-10-28 03:53:55 | mesh | 2 | 29872 | 182 | 4.643 | 6433.8 |
1557 | 2024-10-28 01:49:55 | mesh | 1 | 13983 | 10 | 0.216 | 64736.1 |
1556 | 2024-10-27 13:58:37 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1555 | 2024-10-25 19:28:00 | mesh | 1 | 13983 | 10 | 0.296 | 47239.9 |
1554 | 2024-10-23 21:42:11 | mesh | 1 | 13983 | 10 | 1.263 | 11071.3 |
1553 | 2024-10-07 08:38:10 | mesh | 1 | 13983 | 10 | 1.623 | 8615.5 |
1552 | 2024-09-28 01:22:50 | mesh | 2 | 29872 | 182 | 4.686 | 6374.7 |
1551 | 2024-09-27 23:58:55 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1550 | 2024-09-27 09:57:36 | mesh | 1 | 13983 | 10 | 1.313 | 10649.7 |
1549 | 2024-09-25 17:03:37 | mesh | 2 | 29872 | 182 | 3.483 | 8576.5 |
1548 | 2024-09-25 17:03:29 | mesh | 1 | 13983 | 10 | 1.420 | 9847.2 |
1547 | 2024-09-07 06:37:13 | mesh | 2 | 29872 | 182 | 6.890 | 4335.6 |
1546 | 2024-09-07 06:31:47 | mesh | 1 | 13983 | 10 | 0.906 | 15433.8 |
1545 | 2024-08-29 23:00:02 | mesh | 1 | 13983 | 10 | 2.500 | 5593.2 |
1544 | 2024-08-28 21:38:47 | mesh | 1 | 13983 | 10 | 0.216 | 64736.1 |
1543 | 2024-08-28 04:01:43 | mesh | 2 | 29872 | 182 | 6.546 | 4563.4 |
1542 | 2024-08-28 02:55:48 | mesh | 2 | 29872 | 182 | 7.456 | 4006.4 |