History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"pandas"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1663 | 2025-11-21 08:32:18 | pandas | 1 | 48755 | 6 | 0.903 | 53992.2 |
| 1662 | 2025-11-20 20:29:31 | pandas | 2 | 82551 | 97 | 2.656 | 31080.9 |
| 1661 | 2025-11-19 11:03:05 | pandas | 3 | 112716 | 1063 | 5.360 | 21029.1 |
| 1660 | 2025-11-19 03:38:15 | pandas | 1 | 48755 | 6 | 2.110 | 23106.6 |
| 1659 | 2025-11-19 00:32:41 | pandas | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1658 | 2025-11-15 17:45:05 | pandas | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1657 | 2025-11-13 23:06:05 | pandas | 3 | 112716 | 1063 | 5.610 | 20092.0 |
| 1656 | 2025-11-11 18:15:33 | pandas | 3 | 112716 | 1063 | 5.046 | 22337.7 |
| 1655 | 2025-11-11 04:22:00 | pandas | 3 | 112716 | 1063 | 5.890 | 19136.8 |
| 1654 | 2025-11-11 03:25:59 | pandas | 2 | 82551 | 97 | 2.406 | 34310.5 |
| 1653 | 2025-11-10 19:45:53 | pandas | 2 | 82551 | 97 | 2.610 | 31628.7 |
| 1652 | 2025-11-10 18:12:53 | pandas | 3 | 112716 | 1063 | 5.673 | 19868.9 |
| 1651 | 2025-11-10 11:34:58 | pandas | 3 | 112716 | 1063 | 5.800 | 19433.8 |
| 1650 | 2025-11-09 23:49:15 | pandas | 3 | 112716 | 1063 | 5.280 | 21347.7 |
| 1649 | 2025-11-09 16:12:02 | pandas | 3 | 112716 | 1063 | 5.860 | 19234.8 |
| 1648 | 2025-11-09 04:38:20 | pandas | 2 | 82551 | 97 | 2.576 | 32046.2 |
| 1647 | 2025-11-08 01:32:50 | pandas | 1 | 48755 | 6 | 0.783 | 62266.9 |
| 1646 | 2025-11-07 21:40:43 | pandas | 1 | 48755 | 6 | 0.813 | 59969.2 |
| 1645 | 2025-10-25 06:00:02 | pandas | 1 | 48755 | 6 | 0.923 | 52822.3 |
| 1644 | 2025-10-24 19:53:33 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1643 | 2025-10-24 12:29:50 | pandas | 1 | 48755 | 6 | 0.830 | 58741.0 |
| 1642 | 2025-10-24 09:24:57 | pandas | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1641 | 2025-10-24 09:12:09 | pandas | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1640 | 2025-10-24 07:28:47 | pandas | 1 | 48755 | 6 | 0.893 | 54596.9 |
| 1639 | 2025-10-24 07:28:04 | pandas | 1 | 48755 | 6 | 0.783 | 62266.9 |
| 1638 | 2025-10-24 04:28:23 | pandas | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1637 | 2025-10-24 04:28:16 | pandas | 1 | 48755 | 6 | 0.953 | 51159.5 |
| 1636 | 2025-10-21 12:28:17 | pandas | 1 | 48755 | 6 | 4.296 | 11348.9 |
| 1635 | 2025-10-20 03:50:13 | pandas | 1 | 48755 | 6 | 1.373 | 35509.8 |
| 1634 | 2025-10-17 09:02:12 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1633 | 2025-10-16 14:42:18 | pandas | 3 | 112716 | 1063 | 5.626 | 20034.8 |
| 1632 | 2025-10-07 22:49:48 | pandas | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1631 | 2025-10-04 05:06:36 | pandas | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1630 | 2025-10-04 01:25:15 | pandas | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1629 | 2025-10-03 11:48:27 | pandas | 3 | 112716 | 1063 | 5.766 | 19548.4 |
| 1628 | 2025-09-29 17:45:44 | pandas | 3 | 112716 | 1063 | 5.830 | 19333.8 |
| 1627 | 2025-09-29 15:12:08 | pandas | 3 | 112716 | 1063 | 5.500 | 20493.8 |
| 1626 | 2025-09-29 13:09:33 | pandas | 3 | 112716 | 1063 | 5.500 | 20493.8 |
| 1625 | 2025-09-27 18:55:04 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1624 | 2025-09-26 23:58:52 | pandas | 3 | 112716 | 1063 | 5.530 | 20382.6 |
| 1623 | 2025-09-26 22:14:55 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1622 | 2025-09-26 16:04:00 | pandas | 1 | 48755 | 6 | 0.813 | 59969.2 |
| 1621 | 2025-09-26 15:45:09 | pandas | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1620 | 2025-09-23 21:54:11 | pandas | 1 | 48755 | 6 | 0.936 | 52088.7 |
| 1619 | 2025-09-21 17:16:45 | pandas | 2 | 82551 | 97 | 4.626 | 17845.0 |
| 1618 | 2025-09-20 21:48:55 | pandas | 2 | 82551 | 97 | 2.590 | 31873.0 |
| 1617 | 2025-09-17 08:46:52 | pandas | 3 | 112716 | 1063 | 4.860 | 23192.6 |
| 1616 | 2025-09-17 00:39:55 | pandas | 3 | 112716 | 1063 | 5.313 | 21215.1 |
| 1615 | 2025-09-15 17:14:05 | pandas | 2 | 82551 | 97 | 2.470 | 33421.5 |
| 1614 | 2025-09-15 12:02:43 | pandas | 3 | 112716 | 1063 | 7.063 | 15958.7 |
| 1613 | 2025-09-14 12:23:30 | pandas | 3 | 112716 | 1063 | 5.640 | 19985.1 |
| 1612 | 2025-09-14 03:06:20 | pandas | 3 | 112716 | 1063 | 5.060 | 22275.9 |
| 1611 | 2025-09-14 02:54:01 | pandas | 2 | 82551 | 97 | 2.423 | 34069.7 |
| 1610 | 2025-09-13 20:22:29 | pandas | 1 | 48755 | 6 | 0.923 | 52822.3 |
| 1609 | 2025-09-13 07:35:28 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1608 | 2025-09-09 05:50:49 | pandas | 3 | 112716 | 1063 | 5.970 | 18880.4 |
| 1607 | 2025-09-07 11:37:05 | pandas | 1 | 48755 | 6 | 1.593 | 30605.8 |
| 1606 | 2025-09-03 20:49:40 | pandas | 2 | 82551 | 97 | 3.796 | 21746.8 |
| 1605 | 2025-09-02 22:16:08 | pandas | 2 | 82551 | 97 | 2.623 | 31472.0 |
| 1604 | 2025-09-02 06:48:37 | pandas | 2 | 82551 | 97 | 2.500 | 33020.4 |
| 1603 | 2025-09-02 03:53:35 | pandas | 3 | 112716 | 1063 | 5.783 | 19490.9 |
| 1602 | 2025-09-01 21:14:36 | pandas | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1601 | 2025-08-26 16:57:31 | pandas | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1600 | 2025-08-25 04:56:01 | pandas | 1 | 48755 | 6 | 2.626 | 18566.3 |
| 1599 | 2025-08-19 16:25:26 | pandas | 2 | 82551 | 97 | 10.843 | 7613.3 |
| 1598 | 2025-08-18 13:00:37 | pandas | 3 | 112716 | 1063 | 5.420 | 20796.3 |
| 1597 | 2025-08-14 04:08:53 | pandas | 3 | 112716 | 1063 | 5.546 | 20323.8 |
| 1596 | 2025-08-12 18:09:06 | pandas | 1 | 48755 | 6 | 1.736 | 28084.7 |
| 1595 | 2025-08-06 00:08:13 | pandas | 3 | 112716 | 1063 | 13.986 | 8059.2 |
| 1594 | 2025-08-03 14:00:49 | pandas | 3 | 112716 | 1063 | 14.813 | 7609.3 |
| 1593 | 2025-08-01 22:21:11 | pandas | 3 | 112716 | 1063 | 22.613 | 4984.6 |
| 1592 | 2025-08-01 10:21:26 | pandas | 1 | 48755 | 6 | 4.126 | 11816.5 |
| 1591 | 2025-08-01 09:30:57 | pandas | 1 | 48755 | 6 | 5.170 | 9430.4 |
| 1590 | 2025-07-31 06:42:48 | pandas | 3 | 112716 | 1063 | 6.123 | 18408.6 |
| 1589 | 2025-07-29 14:39:48 | pandas | 1 | 48755 | 6 | 2.000 | 24377.5 |
| 1588 | 2025-07-24 07:20:48 | pandas | 1 | 48755 | 6 | 6.096 | 7997.9 |
| 1587 | 2025-07-23 22:10:21 | pandas | 3 | 112716 | 1063 | 25.783 | 4371.7 |
| 1586 | 2025-07-23 18:05:58 | pandas | 1 | 48755 | 6 | 5.843 | 8344.2 |
| 1585 | 2025-07-23 13:14:43 | pandas | 1 | 48755 | 6 | 6.203 | 7859.9 |
| 1584 | 2025-07-22 20:10:24 | pandas | 1 | 48755 | 6 | 3.126 | 15596.6 |
| 1583 | 2025-07-22 03:45:53 | pandas | 3 | 112716 | 1063 | 6.313 | 17854.6 |
| 1582 | 2025-07-19 11:57:30 | pandas | 1 | 48755 | 6 | 1.063 | 45865.5 |
| 1581 | 2025-07-18 19:05:43 | pandas | 3 | 112716 | 1063 | 14.686 | 7675.1 |
| 1580 | 2025-07-18 16:56:53 | pandas | 3 | 112716 | 1063 | 29.783 | 3784.6 |
| 1579 | 2025-07-17 22:00:55 | pandas | 3 | 112716 | 1063 | 28.560 | 3946.6 |
| 1578 | 2025-07-17 20:01:07 | pandas | 1 | 48755 | 6 | 4.220 | 11553.3 |
| 1577 | 2025-07-17 05:24:18 | pandas | 3 | 112716 | 1063 | 16.266 | 6929.5 |
| 1576 | 2025-07-17 00:52:06 | pandas | 2 | 82551 | 97 | 12.563 | 6571.0 |
| 1575 | 2025-07-16 11:29:24 | pandas | 3 | 112716 | 1063 | 27.640 | 4078.0 |
| 1574 | 2025-07-15 16:50:34 | pandas | 3 | 112716 | 1063 | 15.186 | 7422.4 |
| 1573 | 2025-07-15 13:32:36 | pandas | 2 | 82551 | 97 | 19.236 | 4291.5 |
| 1572 | 2025-07-14 18:00:11 | pandas | 3 | 112716 | 1063 | 20.813 | 5415.7 |
| 1571 | 2025-07-13 16:52:29 | pandas | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1570 | 2025-07-13 12:16:15 | pandas | 2 | 82551 | 97 | 2.843 | 29036.6 |
| 1569 | 2025-07-13 05:28:52 | pandas | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1568 | 2025-07-07 17:00:23 | pandas | 1 | 48755 | 6 | 1.983 | 24586.5 |
| 1567 | 2025-07-06 15:50:09 | pandas | 3 | 112716 | 1063 | 5.486 | 20546.1 |
| 1566 | 2025-07-02 20:42:01 | pandas | 1 | 48755 | 6 | 6.406 | 7610.8 |
| 1565 | 2025-07-02 05:13:28 | pandas | 1 | 48755 | 6 | 4.156 | 11731.2 |
| 1564 | 2025-07-01 05:42:27 | pandas | 1 | 48755 | 6 | 0.890 | 54780.9 |