History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trends"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1593 | 2025-12-09 21:40:05 | trends | 3 | 112716 | 934 | 5.673 | 19868.9 |
| 1592 | 2025-12-09 10:31:16 | trends | 1 | 48755 | 6 | 0.826 | 59025.4 |
| 1591 | 2025-12-09 10:19:01 | trends | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1590 | 2025-12-08 21:35:53 | trends | 3 | 112716 | 934 | 14.453 | 7798.8 |
| 1589 | 2025-12-07 21:33:43 | trends | 3 | 112716 | 934 | 5.936 | 18988.5 |
| 1588 | 2025-12-07 02:02:01 | trends | 3 | 112716 | 934 | 5.763 | 19558.6 |
| 1587 | 2025-12-07 02:01:41 | trends | 3 | 112716 | 934 | 5.796 | 19447.2 |
| 1586 | 2025-12-07 02:01:20 | trends | 3 | 112716 | 934 | 11.923 | 9453.7 |
| 1585 | 2025-12-06 21:30:27 | trends | 3 | 112716 | 934 | 5.610 | 20092.0 |
| 1584 | 2025-12-06 15:29:19 | trends | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1583 | 2025-12-06 15:22:41 | trends | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1582 | 2025-12-05 21:29:32 | trends | 3 | 112716 | 934 | 5.986 | 18829.9 |
| 1581 | 2025-12-05 16:13:23 | trends | 3 | 112716 | 934 | 5.003 | 22529.7 |
| 1580 | 2025-12-04 21:29:06 | trends | 3 | 112716 | 934 | 5.533 | 20371.6 |
| 1579 | 2025-12-04 20:33:44 | trends | 3 | 112716 | 934 | 5.423 | 20784.8 |
| 1578 | 2025-12-03 21:25:57 | trends | 3 | 112716 | 934 | 5.296 | 21283.2 |
| 1577 | 2025-12-03 13:44:34 | trends | 3 | 112716 | 934 | 5.563 | 20261.7 |
| 1576 | 2025-12-03 13:04:39 | trends | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1575 | 2025-12-02 21:57:41 | trends | 3 | 112716 | 934 | 31.626 | 3564.0 |
| 1574 | 2025-12-02 16:20:52 | trends | 1 | 48755 | 6 | 0.780 | 62506.4 |
| 1573 | 2025-12-02 12:30:52 | trends | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 1572 | 2025-12-02 11:27:00 | trends | 3 | 112716 | 934 | 11.140 | 10118.1 |
| 1571 | 2025-12-01 21:55:22 | trends | 3 | 112716 | 934 | 5.606 | 20106.3 |
| 1570 | 2025-11-30 21:51:45 | trends | 3 | 112716 | 934 | 7.533 | 14963.0 |
| 1569 | 2025-11-30 09:20:15 | trends | 3 | 112716 | 934 | 5.313 | 21215.1 |
| 1568 | 2025-11-29 21:48:48 | trends | 3 | 112716 | 934 | 11.470 | 9827.0 |
| 1567 | 2025-11-29 12:29:31 | trends | 3 | 112716 | 934 | 11.203 | 10061.2 |
| 1566 | 2025-11-28 21:47:15 | trends | 3 | 112716 | 934 | 5.860 | 19234.8 |
| 1565 | 2025-11-28 09:26:37 | trends | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1564 | 2025-11-28 08:52:02 | trends | 3 | 112716 | 934 | 4.986 | 22606.5 |
| 1563 | 2025-11-27 21:45:40 | trends | 3 | 112716 | 934 | 5.390 | 20912.1 |
| 1562 | 2025-11-27 18:45:28 | trends | 3 | 112716 | 934 | 5.703 | 19764.3 |
| 1561 | 2025-11-27 11:05:09 | trends | 3 | 112716 | 934 | 5.656 | 19928.6 |
| 1560 | 2025-11-27 05:21:44 | trends | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1559 | 2025-11-26 06:05:37 | trends | 3 | 112716 | 934 | 26.720 | 4218.4 |
| 1558 | 2025-11-26 04:36:38 | trends | 3 | 112716 | 934 | 9.406 | 11983.4 |
| 1557 | 2025-11-26 00:53:49 | trends | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1556 | 2025-11-25 12:03:05 | trends | 3 | 112716 | 934 | 5.500 | 20493.8 |
| 1555 | 2025-11-24 12:15:22 | trends | 3 | 112716 | 934 | 16.596 | 6791.8 |
| 1554 | 2025-11-23 10:15:20 | trends | 3 | 112716 | 934 | 6.483 | 17386.4 |
| 1553 | 2025-11-22 07:28:42 | trends | 3 | 112716 | 934 | 5.593 | 20153.0 |
| 1552 | 2025-11-21 19:06:04 | trends | 3 | 112716 | 934 | 33.673 | 3347.4 |
| 1551 | 2025-11-21 14:11:29 | trends | 3 | 112716 | 934 | 19.763 | 5703.4 |
| 1550 | 2025-11-21 05:31:02 | trends | 3 | 112716 | 934 | 21.423 | 5261.4 |
| 1549 | 2025-11-21 03:45:44 | trends | 1 | 48755 | 6 | 0.783 | 62266.9 |
| 1548 | 2025-11-20 10:52:15 | trends | 1 | 48755 | 6 | 0.873 | 55847.7 |
| 1547 | 2025-11-19 03:48:23 | trends | 3 | 112716 | 934 | 4.970 | 22679.3 |
| 1546 | 2025-11-18 10:15:25 | trends | 1 | 48755 | 6 | 0.970 | 50262.9 |
| 1545 | 2025-11-18 01:18:02 | trends | 3 | 112716 | 934 | 5.330 | 21147.5 |
| 1544 | 2025-11-17 22:30:28 | trends | 3 | 112716 | 934 | 5.670 | 19879.4 |
| 1543 | 2025-11-17 19:31:34 | trends | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1542 | 2025-11-16 11:44:47 | trends | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1541 | 2025-11-16 08:46:39 | trends | 3 | 112716 | 934 | 5.953 | 18934.3 |
| 1540 | 2025-11-15 21:47:05 | trends | 3 | 112716 | 934 | 9.016 | 12501.8 |
| 1539 | 2025-11-15 13:41:22 | trends | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1538 | 2025-11-15 09:24:25 | trends | 3 | 112716 | 934 | 5.720 | 19705.6 |
| 1537 | 2025-11-14 09:55:50 | trends | 1 | 48755 | 6 | 1.360 | 35849.3 |
| 1536 | 2025-11-14 09:12:49 | trends | 3 | 112716 | 934 | 15.873 | 7101.1 |
| 1535 | 2025-11-14 01:44:07 | trends | 3 | 112716 | 934 | 6.576 | 17140.5 |
| 1534 | 2025-11-13 16:31:23 | trends | 3 | 112716 | 934 | 4.983 | 22620.1 |
| 1533 | 2025-11-12 16:33:29 | trends | 3 | 112716 | 934 | 5.716 | 19719.4 |
| 1532 | 2025-11-12 06:31:39 | trends | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1531 | 2025-11-11 17:15:24 | trends | 3 | 112716 | 934 | 5.423 | 20784.8 |
| 1530 | 2025-11-10 17:19:40 | trends | 3 | 112716 | 934 | 5.453 | 20670.5 |
| 1529 | 2025-11-09 18:38:12 | trends | 3 | 112716 | 934 | 5.106 | 22075.2 |
| 1528 | 2025-11-09 08:05:53 | trends | 3 | 112716 | 934 | 5.173 | 21789.3 |
| 1527 | 2025-11-08 10:20:42 | trends | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1526 | 2025-11-07 23:29:50 | trends | 3 | 112716 | 934 | 5.533 | 20371.6 |
| 1525 | 2025-11-05 05:58:34 | trends | 3 | 112716 | 934 | 5.736 | 19650.6 |
| 1524 | 2025-11-04 14:07:42 | trends | 3 | 112716 | 934 | 12.876 | 8754.0 |
| 1523 | 2025-11-04 02:44:00 | trends | 3 | 112716 | 934 | 15.000 | 7514.4 |
| 1522 | 2025-11-03 04:57:18 | trends | 3 | 112716 | 934 | 5.780 | 19501.0 |
| 1521 | 2025-11-02 21:26:23 | trends | 3 | 112716 | 934 | 5.623 | 20045.5 |
| 1520 | 2025-11-02 15:19:05 | trends | 1 | 48755 | 6 | 0.810 | 60191.4 |
| 1519 | 2025-11-02 12:21:09 | trends | 3 | 112716 | 934 | 5.173 | 21789.3 |
| 1518 | 2025-11-02 03:45:23 | trends | 3 | 112716 | 934 | 5.763 | 19558.6 |
| 1517 | 2025-11-01 19:38:11 | trends | 3 | 112716 | 934 | 5.326 | 21163.3 |
| 1516 | 2025-11-01 04:43:30 | trends | 3 | 112716 | 934 | 5.910 | 19072.1 |
| 1515 | 2025-10-31 17:28:52 | trends | 3 | 112716 | 934 | 4.953 | 22757.1 |
| 1514 | 2025-10-29 23:40:58 | trends | 3 | 112716 | 934 | 4.953 | 22757.1 |
| 1513 | 2025-10-29 20:34:00 | trends | 3 | 112716 | 934 | 7.346 | 15343.9 |
| 1512 | 2025-10-27 14:41:19 | trends | 3 | 112716 | 934 | 5.266 | 21404.5 |
| 1511 | 2025-10-26 10:37:28 | trends | 1 | 48755 | 6 | 0.830 | 58741.0 |
| 1510 | 2025-10-26 01:53:37 | trends | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 1509 | 2025-10-25 12:56:01 | trends | 3 | 112716 | 934 | 5.190 | 21717.9 |
| 1508 | 2025-10-23 14:54:12 | trends | 3 | 112716 | 934 | 27.003 | 4174.2 |
| 1507 | 2025-10-23 00:53:21 | trends | 3 | 112716 | 934 | 6.483 | 17386.4 |
| 1506 | 2025-10-22 15:55:56 | trends | 3 | 112716 | 934 | 16.266 | 6929.5 |
| 1505 | 2025-10-21 20:17:36 | trends | 3 | 112716 | 934 | 31.363 | 3593.9 |
| 1504 | 2025-10-21 19:37:11 | trends | 3 | 112716 | 934 | 19.453 | 5794.3 |
| 1503 | 2025-10-21 10:34:54 | trends | 3 | 112716 | 934 | 27.970 | 4029.9 |
| 1502 | 2025-10-20 19:48:46 | trends | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1501 | 2025-10-20 07:05:35 | trends | 2 | 82551 | 89 | 9.716 | 8496.4 |
| 1500 | 2025-10-20 07:05:29 | trends | 2 | 82551 | 89 | 13.173 | 6266.7 |
| 1499 | 2025-10-20 07:05:28 | trends | 2 | 82551 | 89 | 9.750 | 8466.8 |
| 1498 | 2025-10-20 07:05:26 | trends | 2 | 82551 | 89 | 9.610 | 8590.1 |
| 1497 | 2025-10-20 06:18:00 | trends | 1 | 48755 | 6 | 0.893 | 54596.9 |
| 1496 | 2025-10-19 20:03:28 | trends | 3 | 112716 | 934 | 39.740 | 2836.3 |
| 1495 | 2025-10-18 19:45:51 | trends | 3 | 112716 | 934 | 6.936 | 16250.9 |
| 1494 | 2025-10-18 19:35:40 | trends | 3 | 112716 | 934 | 5.156 | 21861.1 |