History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"actuary"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1564 | 2025-09-02 21:30:35 | actuary | 1 | 69583 | 1 | 1.110 | 62687.4 |
1563 | 2025-08-31 06:28:24 | actuary | 4 | 151207 | 967 | 12.423 | 12171.5 |
1562 | 2025-08-31 06:16:52 | actuary | 4 | 151207 | 967 | 12.440 | 12154.9 |
1561 | 2025-08-28 09:20:40 | actuary | 1 | 69583 | 1 | 1.266 | 54962.9 |
1560 | 2025-08-27 01:34:16 | actuary | 4 | 151207 | 967 | 10.736 | 14084.1 |
1559 | 2025-08-26 23:55:21 | actuary | 4 | 151207 | 967 | 11.516 | 13130.2 |
1558 | 2025-08-25 15:20:46 | actuary | 4 | 151207 | 967 | 55.016 | 2748.4 |
1557 | 2025-08-25 14:21:13 | actuary | 1 | 69583 | 1 | 2.890 | 24077.2 |
1556 | 2025-08-25 14:12:56 | actuary | 1 | 69583 | 1 | 6.390 | 10889.4 |
1555 | 2025-08-25 04:23:33 | actuary | 1 | 69583 | 1 | 8.233 | 8451.7 |
1554 | 2025-08-24 19:15:31 | actuary | 1 | 69583 | 1 | 9.360 | 7434.1 |
1553 | 2025-08-21 19:31:56 | actuary | 4 | 151207 | 967 | 11.783 | 12832.6 |
1552 | 2025-08-21 17:56:53 | actuary | 4 | 151207 | 967 | 9.970 | 15166.2 |
1551 | 2025-08-21 01:02:15 | actuary | 4 | 151207 | 967 | 30.580 | 4944.6 |
1550 | 2025-08-19 06:52:05 | actuary | 4 | 151207 | 967 | 36.846 | 4103.8 |
1549 | 2025-08-16 05:07:55 | actuary | 4 | 151207 | 967 | 11.470 | 13182.8 |
1548 | 2025-08-14 17:53:41 | actuary | 4 | 151207 | 967 | 23.860 | 6337.3 |
1547 | 2025-08-10 23:54:31 | actuary | 2 | 107671 | 7 | 7.610 | 14148.6 |
1546 | 2025-08-10 06:28:26 | actuary | 4 | 151207 | 967 | 30.860 | 4899.8 |
1545 | 2025-08-09 01:14:11 | actuary | 1 | 69583 | 1 | 3.593 | 19366.3 |
1544 | 2025-08-05 21:44:12 | actuary | 2 | 107671 | 7 | 14.970 | 7192.5 |
1543 | 2025-08-05 05:53:10 | actuary | 1 | 69583 | 1 | 3.313 | 21003.0 |
1542 | 2025-08-04 05:20:11 | actuary | 1 | 69583 | 1 | 2.783 | 25002.9 |
1541 | 2025-07-30 20:19:54 | actuary | 4 | 151207 | 967 | 12.140 | 12455.3 |
1540 | 2025-07-30 17:53:27 | actuary | 4 | 151207 | 967 | 12.203 | 12391.0 |
1539 | 2025-07-30 03:46:38 | actuary | 4 | 151207 | 967 | 28.843 | 5242.4 |
1538 | 2025-07-29 20:59:23 | actuary | 4 | 151207 | 967 | 37.236 | 4060.8 |
1537 | 2025-07-28 17:17:44 | actuary | 4 | 151207 | 967 | 38.676 | 3909.6 |
1536 | 2025-07-28 06:09:51 | actuary | 2 | 107671 | 7 | 16.673 | 6457.8 |
1535 | 2025-07-26 04:22:52 | actuary | 4 | 151207 | 967 | 26.800 | 5642.1 |
1534 | 2025-07-25 10:54:24 | actuary | 1 | 69583 | 1 | 3.343 | 20814.5 |
1533 | 2025-07-25 04:19:07 | actuary | 1 | 69583 | 1 | 2.110 | 32977.7 |
1532 | 2025-07-24 22:47:00 | actuary | 1 | 69583 | 1 | 4.640 | 14996.3 |
1531 | 2025-07-24 21:08:19 | actuary | 1 | 69583 | 1 | 3.343 | 20814.5 |
1530 | 2025-07-24 15:37:20 | actuary | 1 | 69583 | 1 | 3.063 | 22717.3 |
1529 | 2025-07-24 13:52:23 | actuary | 4 | 151207 | 967 | 42.016 | 3598.8 |
1528 | 2025-07-24 01:06:52 | actuary | 4 | 151207 | 967 | 37.773 | 4003.0 |
1527 | 2025-07-23 23:35:27 | actuary | 1 | 69583 | 1 | 3.670 | 18959.9 |
1526 | 2025-07-23 17:23:20 | actuary | 1 | 69583 | 1 | 4.686 | 14849.1 |
1525 | 2025-07-22 19:24:46 | actuary | 4 | 151207 | 967 | 59.516 | 2540.6 |
1524 | 2025-07-22 19:20:00 | actuary | 4 | 151207 | 967 | 66.660 | 2268.3 |
1523 | 2025-07-22 18:07:02 | actuary | 1 | 69583 | 1 | 4.766 | 14599.9 |
1522 | 2025-07-21 22:23:48 | actuary | 4 | 151207 | 967 | 11.576 | 13062.1 |
1521 | 2025-07-20 04:47:42 | actuary | 4 | 151207 | 967 | 15.626 | 9676.6 |
1520 | 2025-07-19 20:39:20 | actuary | 4 | 151207 | 967 | 12.466 | 12129.6 |
1519 | 2025-07-18 23:36:51 | actuary | 4 | 151207 | 967 | 10.860 | 13923.3 |
1518 | 2025-07-18 14:41:45 | actuary | 4 | 151207 | 967 | 66.506 | 2273.6 |
1517 | 2025-07-18 11:23:24 | actuary | 4 | 151207 | 967 | 44.783 | 3376.4 |
1516 | 2025-07-17 19:38:45 | actuary | 1 | 69583 | 1 | 3.093 | 22496.9 |
1515 | 2025-07-17 08:38:57 | actuary | 4 | 151207 | 967 | 33.456 | 4519.6 |
1514 | 2025-07-16 18:32:23 | actuary | 4 | 151207 | 967 | 13.906 | 10873.5 |
1513 | 2025-06-22 14:32:15 | actuary | 1 | 69583 | 1 | 8.313 | 8370.4 |
1512 | 2025-06-17 19:48:02 | actuary | 1 | 69583 | 1 | 2.936 | 23699.9 |
1511 | 2025-06-16 04:34:01 | actuary | 1 | 69583 | 1 | 6.233 | 11163.6 |
1510 | 2025-06-07 10:08:41 | actuary | 4 | 151207 | 967 | 31.953 | 4732.2 |
1509 | 2025-06-07 03:15:59 | actuary | 4 | 151207 | 967 | 12.673 | 11931.4 |
1508 | 2025-06-06 16:03:54 | actuary | 4 | 151207 | 967 | 54.406 | 2779.2 |
1507 | 2025-06-06 09:24:25 | actuary | 4 | 151207 | 967 | 63.063 | 2397.7 |
1506 | 2025-06-05 17:07:32 | actuary | 4 | 151207 | 967 | 15.936 | 9488.4 |
1505 | 2025-06-05 10:23:39 | actuary | 4 | 151207 | 967 | 54.440 | 2777.5 |
1504 | 2025-06-05 07:09:22 | actuary | 4 | 151207 | 967 | 51.160 | 2955.6 |
1503 | 2025-06-04 18:31:15 | actuary | 4 | 151207 | 967 | 52.380 | 2886.7 |
1502 | 2025-06-04 11:27:03 | actuary | 4 | 151207 | 967 | 79.710 | 1897.0 |
1501 | 2025-06-03 17:47:59 | actuary | 4 | 151207 | 967 | 11.720 | 12901.6 |
1500 | 2025-06-03 17:33:28 | actuary | 4 | 151207 | 967 | 16.736 | 9034.8 |
1499 | 2025-06-03 10:17:07 | actuary | 4 | 151207 | 967 | 51.160 | 2955.6 |
1498 | 2025-06-03 04:55:23 | actuary | 4 | 151207 | 967 | 59.003 | 2562.7 |
1497 | 2025-06-03 01:19:45 | actuary | 4 | 151207 | 967 | 41.513 | 3642.4 |
1496 | 2025-06-02 17:34:26 | actuary | 4 | 151207 | 967 | 65.893 | 2294.7 |
1495 | 2025-06-02 17:22:42 | actuary | 4 | 151207 | 967 | 80.990 | 1867.0 |
1494 | 2025-06-02 09:23:37 | actuary | 4 | 151207 | 967 | 62.106 | 2434.7 |
1493 | 2025-06-02 06:09:04 | actuary | 4 | 151207 | 967 | 56.833 | 2660.5 |
1492 | 2025-06-01 17:59:28 | actuary | 4 | 151207 | 967 | 12.093 | 12503.7 |
1491 | 2025-06-01 17:33:05 | actuary | 4 | 151207 | 967 | 12.530 | 12067.6 |
1490 | 2025-06-01 09:47:11 | actuary | 4 | 151207 | 967 | 11.123 | 13594.1 |
1489 | 2025-06-01 08:38:30 | actuary | 4 | 151207 | 967 | 61.600 | 2454.7 |
1488 | 2025-06-01 05:10:56 | actuary | 4 | 151207 | 967 | 55.650 | 2717.1 |
1487 | 2025-06-01 02:43:50 | actuary | 4 | 151207 | 967 | 55.406 | 2729.1 |
1486 | 2025-05-31 15:18:30 | actuary | 4 | 151207 | 967 | 57.220 | 2642.6 |
1485 | 2025-05-31 04:20:44 | actuary | 4 | 151207 | 967 | 48.300 | 3130.6 |
1484 | 2025-05-30 17:23:44 | actuary | 4 | 151207 | 967 | 14.190 | 10655.9 |
1483 | 2025-05-30 06:47:04 | actuary | 4 | 151207 | 967 | 39.220 | 3855.4 |
1482 | 2025-05-29 19:50:31 | actuary | 4 | 151207 | 967 | 12.266 | 12327.3 |
1481 | 2025-05-29 13:19:44 | actuary | 1 | 69583 | 1 | 8.390 | 8293.6 |
1480 | 2025-05-29 09:45:37 | actuary | 4 | 151207 | 967 | 40.453 | 3737.8 |
1479 | 2025-05-29 06:04:59 | actuary | 4 | 151207 | 967 | 62.253 | 2428.9 |
1478 | 2025-05-28 17:36:13 | actuary | 4 | 151207 | 967 | 12.390 | 12204.0 |
1477 | 2025-05-28 15:31:28 | actuary | 4 | 151207 | 967 | 60.770 | 2488.2 |
1476 | 2025-05-28 03:50:18 | actuary | 4 | 151207 | 967 | 11.766 | 12851.2 |
1475 | 2025-05-27 16:59:56 | actuary | 4 | 151207 | 967 | 10.796 | 14005.8 |
1474 | 2025-05-27 13:17:13 | actuary | 4 | 151207 | 967 | 57.156 | 2645.5 |
1473 | 2025-05-27 03:10:50 | actuary | 4 | 151207 | 967 | 65.410 | 2311.7 |
1472 | 2025-05-26 11:38:22 | actuary | 2 | 107671 | 7 | 20.453 | 5264.3 |
1471 | 2025-05-26 10:50:35 | actuary | 4 | 151207 | 967 | 50.080 | 3019.3 |
1470 | 2025-05-25 17:11:05 | actuary | 4 | 151207 | 967 | 13.376 | 11304.4 |
1469 | 2025-05-25 11:40:58 | actuary | 4 | 151207 | 967 | 10.206 | 14815.5 |
1468 | 2025-05-25 03:39:15 | actuary | 4 | 151207 | 967 | 28.096 | 5381.8 |
1467 | 2025-05-24 17:03:55 | actuary | 4 | 151207 | 967 | 77.760 | 1944.5 |
1466 | 2025-05-23 17:51:39 | actuary | 4 | 151207 | 967 | 38.236 | 3954.6 |
1465 | 2025-05-23 10:26:54 | actuary | 4 | 151207 | 967 | 53.143 | 2845.3 |