History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meat"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1583 | 2025-06-01 21:19:21 | meat | 1 | 13983 | 21 | 0.983 | 14224.8 |
1582 | 2025-05-30 14:46:34 | meat | 1 | 13983 | 21 | 2.046 | 6834.3 |
1581 | 2025-05-30 06:57:49 | meat | 1 | 13983 | 21 | 0.453 | 30867.5 |
1580 | 2025-05-29 09:55:43 | meat | 1 | 13983 | 21 | 0.686 | 20383.4 |
1579 | 2025-05-27 09:37:34 | meat | 1 | 13983 | 21 | 1.080 | 12947.2 |
1578 | 2025-05-23 03:19:46 | meat | 1 | 13983 | 21 | 0.906 | 15433.8 |
1577 | 2025-05-16 19:28:34 | meat | 1 | 13983 | 21 | 0.283 | 49409.9 |
1576 | 2025-05-16 10:22:24 | meat | 1 | 13983 | 21 | 1.923 | 7271.5 |
1575 | 2025-05-12 16:33:19 | meat | 1 | 13983 | 21 | 1.046 | 13368.1 |
1574 | 2025-05-12 08:56:01 | meat | 1 | 13983 | 21 | 1.266 | 11045.0 |
1573 | 2025-05-09 02:25:57 | meat | 1 | 13983 | 21 | 0.233 | 60012.9 |
1572 | 2025-05-08 05:05:05 | meat | 1 | 13983 | 21 | 1.780 | 7855.6 |
1571 | 2025-05-08 03:31:12 | meat | 2 | 29872 | 357 | 6.266 | 4767.3 |
1570 | 2025-05-02 20:58:54 | meat | 1 | 13983 | 21 | 1.436 | 9737.5 |
1569 | 2025-05-02 14:56:02 | meat | 1 | 13983 | 21 | 1.250 | 11186.4 |
1568 | 2025-05-01 12:34:45 | meat | 1 | 13983 | 21 | 1.266 | 11045.0 |
1567 | 2025-04-30 00:04:34 | meat | 1 | 13983 | 21 | 1.420 | 9847.2 |
1566 | 2025-04-29 01:29:47 | meat | 2 | 29872 | 357 | 0.890 | 33564.0 |
1565 | 2025-04-28 02:43:42 | meat | 2 | 29872 | 357 | 4.500 | 6638.2 |
1564 | 2025-04-27 09:37:51 | meat | 2 | 29872 | 357 | 0.860 | 34734.9 |
1563 | 2025-04-27 09:15:28 | meat | 2 | 29872 | 357 | 0.966 | 30923.4 |
1562 | 2025-04-27 07:56:38 | meat | 1 | 13983 | 21 | 0.266 | 52567.7 |
1561 | 2025-04-26 20:42:13 | meat | 1 | 13983 | 21 | 1.623 | 8615.5 |
1560 | 2025-04-26 20:37:35 | meat | 1 | 13983 | 21 | 0.686 | 20383.4 |
1559 | 2025-04-25 16:02:58 | meat | 1 | 13983 | 21 | 0.250 | 55932.0 |
1558 | 2025-04-14 10:19:28 | meat | 1 | 13983 | 21 | 0.656 | 21315.5 |
1557 | 2025-04-13 18:32:21 | meat | 1 | 13983 | 21 | 0.233 | 60012.9 |
1556 | 2025-04-08 17:47:25 | meat | 2 | 29872 | 357 | 0.826 | 36164.6 |
1555 | 2025-04-08 08:54:16 | meat | 2 | 29872 | 357 | 4.296 | 6953.4 |
1554 | 2025-04-07 04:43:15 | meat | 1 | 13983 | 21 | 0.763 | 18326.3 |
1553 | 2025-04-01 20:47:37 | meat | 1 | 13983 | 21 | 0.623 | 22444.6 |
1552 | 2025-03-14 21:04:41 | meat | 1 | 13983 | 21 | 1.170 | 11951.3 |
1551 | 2025-03-10 08:31:04 | meat | 1 | 13983 | 21 | 0.233 | 60012.9 |
1550 | 2025-03-07 18:36:06 | meat | 2 | 29872 | 357 | 4.530 | 6594.3 |
1549 | 2025-03-07 15:51:17 | meat | 2 | 29872 | 357 | 4.513 | 6619.1 |
1548 | 2025-03-07 05:39:13 | meat | 2 | 29872 | 357 | 2.233 | 13377.5 |
1547 | 2025-03-07 03:03:39 | meat | 2 | 29872 | 357 | 5.936 | 5032.3 |
1546 | 2025-03-07 02:28:55 | meat | 1 | 13983 | 21 | 0.346 | 40413.3 |
1545 | 2025-02-26 04:37:44 | meat | 2 | 29872 | 357 | 2.826 | 10570.4 |
1544 | 2025-02-26 01:45:23 | meat | 2 | 29872 | 357 | 4.173 | 7158.4 |
1543 | 2025-02-25 08:34:19 | meat | 1 | 13983 | 21 | 0.220 | 63559.1 |
1542 | 2025-02-24 08:09:07 | meat | 1 | 13983 | 21 | 0.893 | 15658.5 |
1541 | 2025-02-23 18:42:39 | meat | 1 | 13983 | 21 | 1.560 | 8963.5 |
1540 | 2025-02-05 00:36:22 | meat | 2 | 29872 | 357 | 6.456 | 4627.0 |
1539 | 2025-02-04 23:10:35 | meat | 2 | 29872 | 357 | 2.110 | 14157.3 |
1538 | 2025-02-04 18:55:46 | meat | 2 | 29872 | 357 | 4.360 | 6851.4 |
1537 | 2025-02-04 18:48:12 | meat | 1 | 13983 | 21 | 1.890 | 7398.4 |
1536 | 2025-01-26 08:10:56 | meat | 1 | 13983 | 21 | 0.686 | 20383.4 |
1535 | 2025-01-25 07:48:44 | meat | 1 | 13983 | 21 | 1.046 | 13368.1 |
1534 | 2025-01-24 02:02:27 | meat | 1 | 13983 | 21 | 1.423 | 9826.4 |
1533 | 2025-01-18 08:24:02 | meat | 1 | 13983 | 21 | 1.686 | 8293.6 |
1532 | 2025-01-14 20:39:50 | meat | 2 | 29872 | 357 | 2.373 | 12588.3 |
1531 | 2025-01-05 18:41:46 | meat | 1 | 13983 | 21 | 0.953 | 14672.6 |
1530 | 2025-01-03 16:01:20 | meat | 1 | 13983 | 21 | 1.453 | 9623.5 |
1529 | 2024-12-27 05:44:56 | meat | 1 | 13983 | 21 | 1.140 | 12265.8 |
1528 | 2024-12-26 07:36:50 | meat | 1 | 13983 | 21 | 0.826 | 16928.6 |
1527 | 2024-12-25 11:57:44 | meat | 2 | 29872 | 357 | 2.233 | 13377.5 |
1526 | 2024-12-25 01:47:37 | meat | 1 | 13983 | 21 | 0.903 | 15485.0 |
1525 | 2024-12-24 17:46:40 | meat | 2 | 29872 | 357 | 1.156 | 25840.8 |
1524 | 2024-12-06 14:29:55 | meat | 2 | 29872 | 357 | 3.983 | 7499.9 |
1523 | 2024-12-06 14:23:19 | meat | 1 | 13983 | 21 | 0.593 | 23580.1 |
1522 | 2024-11-27 01:51:10 | meat | 1 | 13983 | 21 | 1.673 | 8358.0 |
1521 | 2024-11-26 01:38:41 | meat | 1 | 13983 | 21 | 0.216 | 64736.1 |
1520 | 2024-11-24 22:55:50 | meat | 1 | 13983 | 21 | 0.263 | 53167.3 |
1519 | 2024-11-24 06:24:58 | meat | 1 | 13983 | 21 | 1.360 | 10281.6 |
1518 | 2024-11-18 19:40:39 | meat | 1 | 13983 | 21 | 1.110 | 12597.3 |
1517 | 2024-11-10 18:24:43 | meat | 1 | 13983 | 21 | 1.050 | 13317.1 |
1516 | 2024-11-06 13:46:12 | meat | 1 | 13983 | 21 | 0.513 | 27257.3 |
1515 | 2024-10-28 05:06:35 | meat | 2 | 29872 | 357 | 4.233 | 7056.9 |
1514 | 2024-10-28 03:45:39 | meat | 2 | 29872 | 357 | 4.016 | 7438.2 |
1513 | 2024-10-28 01:35:04 | meat | 1 | 13983 | 21 | 0.216 | 64736.1 |
1512 | 2024-10-27 05:02:25 | meat | 1 | 13983 | 21 | 1.030 | 13575.7 |
1511 | 2024-10-27 01:46:38 | meat | 1 | 13983 | 21 | 1.343 | 10411.8 |
1510 | 2024-10-25 19:28:33 | meat | 1 | 13983 | 21 | 1.390 | 10059.7 |
1509 | 2024-10-07 11:28:02 | meat | 2 | 29872 | 357 | 4.546 | 6571.1 |
1508 | 2024-10-07 11:14:54 | meat | 1 | 13983 | 21 | 0.216 | 64736.1 |
1507 | 2024-09-28 07:12:39 | meat | 2 | 29872 | 357 | 4.296 | 6953.4 |
1506 | 2024-09-28 02:09:56 | meat | 2 | 29872 | 357 | 6.623 | 4510.3 |
1505 | 2024-09-28 00:07:51 | meat | 1 | 13983 | 21 | 0.250 | 55932.0 |
1504 | 2024-09-26 22:04:28 | meat | 1 | 13983 | 21 | 1.783 | 7842.4 |
1503 | 2024-09-25 17:36:20 | meat | 1 | 13983 | 21 | 1.046 | 13368.1 |
1502 | 2024-09-18 20:17:04 | meat | 1 | 13983 | 21 | 0.610 | 22923.0 |
1501 | 2024-09-16 12:23:06 | meat | 1 | 13983 | 21 | 1.250 | 11186.4 |
1500 | 2024-09-07 03:58:36 | meat | 1 | 13983 | 21 | 2.313 | 6045.4 |
1499 | 2024-09-04 16:43:22 | meat | 1 | 13983 | 21 | 2.296 | 6090.2 |
1498 | 2024-09-03 19:46:44 | meat | 1 | 13983 | 21 | 1.953 | 7159.8 |
1497 | 2024-08-30 07:19:09 | meat | 1 | 13983 | 21 | 1.170 | 11951.3 |
1496 | 2024-08-30 07:01:35 | meat | 1 | 13983 | 21 | 0.686 | 20383.4 |
1495 | 2024-08-28 20:39:47 | meat | 2 | 29872 | 357 | 6.236 | 4790.3 |
1494 | 2024-08-28 18:56:07 | meat | 2 | 29872 | 357 | 6.390 | 4674.8 |
1493 | 2024-08-28 17:27:20 | meat | 1 | 13983 | 21 | 0.220 | 63559.1 |
1492 | 2024-08-27 18:50:53 | meat | 1 | 13983 | 21 | 1.000 | 13983.0 |
1491 | 2024-08-26 10:58:08 | meat | 1 | 13983 | 21 | 2.766 | 5055.3 |
1490 | 2024-08-20 11:41:00 | meat | 1 | 13983 | 21 | 0.236 | 59250.0 |
1489 | 2024-08-14 22:21:11 | meat | 1 | 13983 | 21 | 0.686 | 20383.4 |
1488 | 2024-08-08 17:31:07 | meat | 1 | 13983 | 21 | 0.670 | 20870.1 |
1487 | 2024-08-07 22:10:31 | meat | 2 | 29872 | 357 | 2.046 | 14600.2 |
1486 | 2024-08-07 21:10:46 | meat | 1 | 13983 | 21 | 0.560 | 24969.6 |
1485 | 2024-08-02 13:23:38 | meat | 1 | 13983 | 21 | 1.140 | 12265.8 |
1484 | 2024-08-02 05:02:10 | meat | 1 | 13983 | 21 | 0.750 | 18644.0 |