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 |
1559 | 2025-06-18 05:11:49 | pandas | 1 | 48755 | 6 | 4.173 | 11683.4 |
1558 | 2025-06-17 19:48:54 | pandas | 3 | 112716 | 1063 | 23.766 | 4742.7 |
1557 | 2025-06-17 05:33:47 | pandas | 3 | 112716 | 1063 | 13.703 | 8225.6 |
1556 | 2025-06-14 13:31:56 | pandas | 2 | 82551 | 97 | 18.266 | 4519.4 |
1555 | 2025-06-14 04:15:24 | pandas | 3 | 112716 | 1063 | 48.330 | 2332.2 |
1554 | 2025-06-13 16:21:24 | pandas | 3 | 112716 | 1063 | 7.470 | 15089.2 |
1553 | 2025-06-13 16:11:13 | pandas | 3 | 112716 | 1063 | 18.406 | 6123.9 |
1552 | 2025-06-13 12:51:20 | pandas | 3 | 112716 | 1063 | 11.440 | 9852.8 |
1551 | 2025-06-13 10:34:43 | pandas | 3 | 112716 | 1063 | 24.406 | 4618.4 |
1550 | 2025-06-12 15:12:12 | pandas | 3 | 112716 | 1063 | 19.010 | 5929.3 |
1549 | 2025-06-12 04:39:09 | pandas | 1 | 48755 | 6 | 4.810 | 10136.2 |
1548 | 2025-06-12 04:14:02 | pandas | 3 | 112716 | 1063 | 17.923 | 6288.9 |
1547 | 2025-06-10 16:15:37 | pandas | 3 | 112716 | 1063 | 26.126 | 4314.3 |
1546 | 2025-06-06 16:28:31 | pandas | 1 | 48755 | 6 | 3.453 | 14119.6 |
1545 | 2025-05-30 21:00:39 | pandas | 2 | 82551 | 97 | 8.626 | 9570.0 |
1544 | 2025-05-30 06:01:21 | pandas | 1 | 48755 | 6 | 0.903 | 53992.2 |
1543 | 2025-05-29 13:08:35 | pandas | 1 | 48755 | 6 | 4.470 | 10907.2 |
1542 | 2025-05-29 05:20:04 | pandas | 3 | 112716 | 1063 | 22.516 | 5006.0 |
1541 | 2025-05-28 13:03:34 | pandas | 1 | 48755 | 6 | 0.903 | 53992.2 |
1540 | 2025-05-25 06:56:35 | pandas | 1 | 48755 | 6 | 0.873 | 55847.7 |
1539 | 2025-05-23 19:16:48 | pandas | 1 | 48755 | 6 | 0.843 | 57835.1 |
1538 | 2025-05-22 23:08:59 | pandas | 3 | 112716 | 1063 | 5.890 | 19136.8 |
1537 | 2025-05-19 00:14:30 | pandas | 1 | 48755 | 6 | 0.843 | 57835.1 |
1536 | 2025-05-14 19:42:51 | pandas | 3 | 112716 | 1063 | 5.076 | 22205.7 |
1535 | 2025-05-12 13:44:13 | pandas | 3 | 112716 | 1063 | 28.783 | 3916.1 |
1534 | 2025-05-12 04:25:07 | pandas | 3 | 112716 | 1063 | 22.410 | 5029.7 |
1533 | 2025-05-11 19:32:28 | pandas | 3 | 112716 | 1063 | 26.516 | 4250.9 |
1532 | 2025-05-10 19:59:23 | pandas | 3 | 112716 | 1063 | 54.816 | 2056.3 |
1531 | 2025-05-09 18:55:30 | pandas | 2 | 82551 | 97 | 2.563 | 32208.7 |
1530 | 2025-05-09 15:29:45 | pandas | 3 | 112716 | 1063 | 6.283 | 17939.8 |
1529 | 2025-05-09 04:17:36 | pandas | 3 | 112716 | 1063 | 6.220 | 18121.5 |
1528 | 2025-05-08 23:35:11 | pandas | 3 | 112716 | 1063 | 4.953 | 22757.1 |
1527 | 2025-05-08 10:46:08 | pandas | 1 | 48755 | 6 | 2.140 | 22782.7 |
1526 | 2025-05-08 10:39:07 | pandas | 3 | 112716 | 1063 | 19.686 | 5725.7 |
1525 | 2025-05-07 23:35:29 | pandas | 1 | 48755 | 6 | 3.890 | 12533.4 |
1524 | 2025-05-06 16:15:00 | pandas | 1 | 48755 | 6 | 5.940 | 8207.9 |
1523 | 2025-05-03 18:59:54 | pandas | 1 | 48755 | 6 | 0.783 | 62266.9 |
1522 | 2025-04-29 06:35:49 | pandas | 1 | 48755 | 6 | 3.203 | 15221.7 |
1521 | 2025-04-25 03:31:22 | pandas | 1 | 48755 | 6 | 0.876 | 55656.4 |
1520 | 2025-04-21 23:57:32 | pandas | 3 | 112716 | 1063 | 5.233 | 21539.5 |
1519 | 2025-04-16 04:25:45 | pandas | 1 | 48755 | 6 | 2.033 | 23981.8 |
1518 | 2025-04-10 23:53:39 | pandas | 2 | 82551 | 97 | 12.706 | 6497.0 |
1517 | 2025-04-10 04:42:35 | pandas | 3 | 112716 | 1063 | 5.390 | 20912.1 |
1516 | 2025-04-09 14:49:27 | pandas | 2 | 82551 | 97 | 13.626 | 6058.3 |
1515 | 2025-04-08 06:42:05 | pandas | 1 | 48755 | 6 | 1.610 | 30282.6 |
1514 | 2025-04-06 15:38:04 | pandas | 1 | 48755 | 6 | 3.983 | 12240.8 |
1513 | 2025-04-06 10:29:09 | pandas | 1 | 48755 | 6 | 4.843 | 10067.1 |
1512 | 2025-04-04 15:10:58 | pandas | 3 | 112716 | 1063 | 26.330 | 4280.9 |
1511 | 2025-04-03 11:48:38 | pandas | 2 | 82551 | 97 | 9.173 | 8999.3 |
1510 | 2025-04-02 04:31:07 | pandas | 3 | 112716 | 1063 | 28.453 | 3961.5 |
1509 | 2025-04-01 17:49:54 | pandas | 3 | 112716 | 1063 | 6.750 | 16698.7 |
1508 | 2025-03-31 15:51:30 | pandas | 3 | 112716 | 1063 | 32.143 | 3506.7 |
1507 | 2025-03-31 04:25:50 | pandas | 3 | 112716 | 1063 | 28.033 | 4020.8 |
1506 | 2025-03-30 17:41:13 | pandas | 1 | 48755 | 6 | 0.826 | 59025.4 |
1505 | 2025-03-30 10:10:28 | pandas | 3 | 112716 | 1063 | 5.673 | 19868.9 |
1504 | 2025-03-29 07:56:38 | pandas | 1 | 48755 | 6 | 5.766 | 8455.6 |
1503 | 2025-03-16 12:34:12 | pandas | 1 | 48755 | 6 | 2.720 | 17924.6 |
1502 | 2025-03-14 19:23:25 | pandas | 1 | 48755 | 6 | 3.766 | 12946.1 |
1501 | 2025-03-12 13:54:52 | pandas | 1 | 48755 | 6 | 3.500 | 13930.0 |
1500 | 2025-03-11 09:55:57 | pandas | 1 | 48755 | 6 | 4.280 | 11391.4 |
1499 | 2025-03-10 12:36:53 | pandas | 3 | 112716 | 1063 | 5.736 | 19650.6 |
1498 | 2025-03-08 19:41:51 | pandas | 1 | 48755 | 6 | 6.860 | 7107.1 |
1497 | 2025-03-06 20:50:53 | pandas | 1 | 48755 | 6 | 5.906 | 8255.2 |
1496 | 2025-03-03 18:45:47 | pandas | 3 | 112716 | 1063 | 32.720 | 3444.9 |
1495 | 2025-03-03 06:33:36 | pandas | 3 | 112716 | 1063 | 19.153 | 5885.0 |
1494 | 2025-03-03 03:18:33 | pandas | 1 | 48755 | 6 | 1.670 | 29194.6 |
1493 | 2025-02-26 09:20:37 | pandas | 1 | 48755 | 6 | 2.470 | 19738.9 |
1492 | 2025-02-26 09:16:37 | pandas | 2 | 82551 | 97 | 2.986 | 27646.0 |
1491 | 2025-02-25 10:29:18 | pandas | 1 | 48755 | 6 | 0.796 | 61250.0 |
1490 | 2025-02-23 22:40:26 | pandas | 3 | 112716 | 1063 | 6.923 | 16281.4 |
1489 | 2025-02-23 21:59:57 | pandas | 3 | 112716 | 1063 | 24.250 | 4648.1 |
1488 | 2025-02-23 12:50:34 | pandas | 3 | 112716 | 1063 | 27.613 | 4082.0 |
1487 | 2025-02-23 03:21:42 | pandas | 3 | 112716 | 1063 | 29.563 | 3812.7 |
1486 | 2025-02-20 23:31:55 | pandas | 3 | 112716 | 1063 | 43.566 | 2587.2 |
1485 | 2025-02-16 00:11:15 | pandas | 3 | 112716 | 1063 | 35.016 | 3219.0 |
1484 | 2025-02-15 08:04:34 | pandas | 3 | 112716 | 1063 | 17.736 | 6355.2 |
1483 | 2025-02-10 12:57:08 | pandas | 1 | 48755 | 6 | 0.766 | 63648.8 |
1482 | 2025-02-05 00:39:27 | pandas | 2 | 82551 | 97 | 5.673 | 14551.6 |
1481 | 2025-02-04 19:54:25 | pandas | 2 | 82551 | 97 | 11.393 | 7245.8 |
1480 | 2025-02-04 16:48:35 | pandas | 2 | 82551 | 97 | 11.033 | 7482.2 |
1479 | 2025-02-04 16:48:31 | pandas | 1 | 48755 | 6 | 4.910 | 9929.7 |
1478 | 2025-02-02 15:04:42 | pandas | 3 | 112716 | 1063 | 16.463 | 6846.6 |
1477 | 2025-02-01 20:46:47 | pandas | 3 | 112716 | 1063 | 16.953 | 6648.7 |
1476 | 2025-01-31 15:12:48 | pandas | 3 | 112716 | 1063 | 37.546 | 3002.1 |
1475 | 2025-01-30 16:12:35 | pandas | 3 | 112716 | 1063 | 15.030 | 7499.4 |
1474 | 2025-01-29 13:23:57 | pandas | 3 | 112716 | 1063 | 17.940 | 6282.9 |
1473 | 2025-01-27 04:28:53 | pandas | 1 | 48755 | 6 | 2.533 | 19247.9 |
1472 | 2025-01-26 15:17:03 | pandas | 3 | 112716 | 1063 | 5.313 | 21215.1 |
1471 | 2025-01-25 15:00:04 | pandas | 3 | 112716 | 1063 | 23.923 | 4711.6 |
1470 | 2025-01-24 23:38:31 | pandas | 3 | 112716 | 1063 | 5.576 | 20214.5 |
1469 | 2025-01-24 15:59:15 | pandas | 3 | 112716 | 1063 | 19.576 | 5757.9 |
1468 | 2025-01-24 12:36:52 | pandas | 3 | 112716 | 1063 | 42.766 | 2635.6 |
1467 | 2025-01-23 18:53:31 | pandas | 3 | 112716 | 1063 | 32.860 | 3430.2 |
1466 | 2025-01-23 10:14:55 | pandas | 3 | 112716 | 1063 | 26.156 | 4309.4 |
1465 | 2025-01-23 00:11:38 | pandas | 1 | 48755 | 6 | 3.500 | 13930.0 |
1464 | 2025-01-09 07:19:32 | pandas | 1 | 48755 | 6 | 2.000 | 24377.5 |
1463 | 2025-01-05 07:47:41 | pandas | 1 | 48755 | 6 | 6.690 | 7287.7 |
1462 | 2025-01-05 07:42:36 | pandas | 2 | 82551 | 97 | 13.016 | 6342.3 |
1461 | 2025-01-04 19:26:24 | pandas | 2 | 82551 | 97 | 2.296 | 35954.3 |
1460 | 2025-01-04 19:26:22 | pandas | 1 | 48755 | 6 | 0.810 | 60191.4 |