History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mesh"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1496 | 2024-04-02 19:00:05 | mesh | 1 | 13983 | 10 | 0.296 | 47239.9 |
1495 | 2024-04-01 15:22:14 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1494 | 2024-03-31 01:27:10 | mesh | 2 | 29872 | 182 | 2.390 | 12498.7 |
1493 | 2024-03-28 19:53:31 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1492 | 2024-03-20 18:26:46 | mesh | 1 | 13983 | 10 | 0.516 | 27098.8 |
1491 | 2024-03-12 21:53:00 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1490 | 2024-03-02 16:53:03 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1489 | 2024-03-02 14:37:57 | mesh | 2 | 29872 | 182 | 1.003 | 29782.7 |
1488 | 2024-03-02 13:39:07 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
1487 | 2024-02-27 02:11:55 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
1486 | 2024-02-26 07:45:17 | mesh | 1 | 13983 | 10 | 0.266 | 52567.7 |
1485 | 2024-02-18 17:56:50 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1484 | 2024-02-08 13:37:56 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1483 | 2024-01-27 05:27:41 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1482 | 2024-01-21 03:25:41 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1481 | 2024-01-20 22:13:29 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1480 | 2024-01-19 15:30:16 | mesh | 1 | 13983 | 10 | 0.203 | 68881.8 |
1479 | 2024-01-08 17:39:19 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1478 | 2024-01-06 22:09:04 | mesh | 2 | 29872 | 182 | 0.890 | 33564.0 |
1477 | 2023-12-31 05:04:25 | mesh | 2 | 29872 | 182 | 0.796 | 37527.6 |
1476 | 2023-12-17 01:23:20 | mesh | 2 | 29872 | 182 | 0.843 | 35435.3 |
1475 | 2023-12-12 10:04:28 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1474 | 2023-12-06 21:46:37 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1473 | 2023-12-06 21:46:36 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1472 | 2023-12-04 01:34:35 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1471 | 2023-12-04 01:34:34 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1470 | 2023-11-26 04:45:04 | mesh | 2 | 29872 | 182 | 0.720 | 41488.9 |
1469 | 2023-11-14 05:39:27 | mesh | 1 | 13983 | 10 | 0.216 | 64736.1 |
1468 | 2023-11-09 19:27:35 | mesh | 1 | 13983 | 10 | 0.203 | 68881.8 |
1467 | 2023-11-04 16:42:12 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1466 | 2023-11-02 09:36:28 | mesh | 1 | 13983 | 10 | 0.470 | 29751.1 |
1465 | 2023-10-28 06:33:04 | mesh | 2 | 29872 | 182 | 0.843 | 35435.3 |
1464 | 2023-10-27 00:56:12 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1463 | 2023-10-19 20:42:14 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1462 | 2023-10-17 07:56:13 | mesh | 1 | 13983 | 10 | 0.263 | 53167.3 |
1461 | 2023-10-12 18:28:51 | mesh | 2 | 29872 | 182 | 0.843 | 35435.3 |
1460 | 2023-10-11 07:04:58 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1459 | 2023-10-09 16:43:05 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1458 | 2023-10-03 23:50:58 | mesh | 1 | 13983 | 10 | 0.203 | 68881.8 |
1457 | 2023-09-29 16:40:06 | mesh | 1 | 13983 | 10 | 0.216 | 64736.1 |
1456 | 2023-09-22 16:52:10 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1455 | 2023-08-27 14:34:21 | mesh | 2 | 29872 | 182 | 0.766 | 38997.4 |
1454 | 2023-08-24 14:42:26 | mesh | 1 | 13983 | 10 | 0.203 | 68881.8 |
1453 | 2023-08-24 08:47:01 | mesh | 2 | 29872 | 182 | 0.766 | 38997.4 |
1452 | 2023-08-15 21:19:34 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1451 | 2023-08-03 06:16:29 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1450 | 2023-07-23 02:09:44 | mesh | 2 | 29872 | 182 | 0.750 | 39829.3 |
1449 | 2023-07-15 21:56:32 | mesh | 2 | 29872 | 182 | 0.876 | 34100.5 |
1448 | 2023-07-04 08:54:00 | mesh | 2 | 29872 | 182 | 0.813 | 36742.9 |
1447 | 2023-06-20 10:44:49 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1446 | 2023-06-19 11:11:50 | mesh | 1 | 13983 | 10 | 0.236 | 59250.0 |
1445 | 2023-06-07 23:39:54 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1444 | 2023-06-05 13:27:23 | mesh | 2 | 29872 | 182 | 0.813 | 36742.9 |
1443 | 2023-06-01 13:18:19 | mesh | 2 | 29872 | 182 | 0.733 | 40753.1 |
1442 | 2023-05-26 20:30:40 | mesh | 1 | 13983 | 10 | 0.200 | 69915.0 |
1441 | 2023-05-01 23:59:07 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1440 | 2023-04-19 14:48:17 | mesh | 1 | 13983 | 10 | 0.233 | 60012.9 |
1439 | 2023-04-04 00:28:28 | mesh | 2 | 29872 | 182 | 1.250 | 23897.6 |
1438 | 2023-04-03 09:03:23 | mesh | 2 | 29872 | 182 | 0.906 | 32971.3 |
1437 | 2023-04-03 02:47:02 | mesh | 2 | 29872 | 182 | 0.736 | 40587.0 |
1436 | 2023-04-02 12:59:38 | mesh | 2 | 29872 | 182 | 0.846 | 35309.7 |
1435 | 2023-04-01 18:49:35 | mesh | 2 | 29872 | 182 | 0.796 | 37527.6 |
1434 | 2023-04-01 00:31:22 | mesh | 2 | 29872 | 182 | 0.923 | 32364.0 |
1433 | 2023-03-31 11:31:57 | mesh | 2 | 29872 | 182 | 0.826 | 36164.6 |
1432 | 2023-03-30 18:48:31 | mesh | 2 | 29872 | 182 | 0.813 | 36742.9 |
1431 | 2023-03-29 19:27:20 | mesh | 2 | 29872 | 182 | 0.796 | 37527.6 |
1430 | 2023-03-29 00:19:24 | mesh | 2 | 29872 | 182 | 0.813 | 36742.9 |
1429 | 2023-03-28 06:58:40 | mesh | 2 | 29872 | 182 | 0.876 | 34100.5 |
1428 | 2023-03-27 22:02:32 | mesh | 2 | 29872 | 182 | 0.733 | 40753.1 |
1427 | 2023-03-27 02:51:43 | mesh | 2 | 29872 | 182 | 0.843 | 35435.3 |
1426 | 2023-03-26 20:55:55 | mesh | 2 | 29872 | 182 | 0.890 | 33564.0 |
1425 | 2023-03-26 11:59:02 | mesh | 2 | 29872 | 182 | 0.810 | 36879.0 |
1424 | 2023-03-25 07:58:33 | mesh | 2 | 29872 | 182 | 0.893 | 33451.3 |
1423 | 2023-03-24 21:14:09 | mesh | 2 | 29872 | 182 | 0.826 | 36164.6 |
1422 | 2023-03-24 04:42:25 | mesh | 2 | 29872 | 182 | 0.716 | 41720.7 |
1421 | 2023-03-23 17:27:35 | mesh | 2 | 29872 | 182 | 0.736 | 40587.0 |
1420 | 2023-03-23 00:46:40 | mesh | 2 | 29872 | 182 | 0.750 | 39829.3 |
1419 | 2023-03-22 09:12:12 | mesh | 2 | 29872 | 182 | 0.826 | 36164.6 |
1418 | 2023-03-21 21:29:40 | mesh | 2 | 29872 | 182 | 0.860 | 34734.9 |
1417 | 2023-03-21 06:50:49 | mesh | 1 | 13983 | 10 | 0.250 | 55932.0 |
1416 | 2023-03-21 04:46:02 | mesh | 2 | 29872 | 182 | 1.093 | 27330.3 |
1415 | 2023-03-20 16:14:34 | mesh | 2 | 29872 | 182 | 0.716 | 41720.7 |
1414 | 2023-03-20 14:16:07 | mesh | 2 | 29872 | 182 | 0.736 | 40587.0 |
1413 | 2023-03-19 22:51:12 | mesh | 2 | 29872 | 182 | 0.826 | 36164.6 |
1412 | 2023-03-19 06:54:30 | mesh | 2 | 29872 | 182 | 0.890 | 33564.0 |
1411 | 2023-03-17 17:28:38 | mesh | 2 | 29872 | 182 | 0.830 | 35990.4 |
1410 | 2023-03-17 00:10:35 | mesh | 2 | 29872 | 182 | 0.860 | 34734.9 |
1409 | 2023-03-16 09:30:18 | mesh | 2 | 29872 | 182 | 0.830 | 35990.4 |
1408 | 2023-03-15 21:19:41 | mesh | 2 | 29872 | 182 | 0.843 | 35435.3 |
1407 | 2023-03-15 04:38:56 | mesh | 2 | 29872 | 182 | 0.733 | 40753.1 |
1406 | 2023-03-14 14:42:51 | mesh | 2 | 29872 | 182 | 0.860 | 34734.9 |
1405 | 2023-03-14 00:09:44 | mesh | 2 | 29872 | 182 | 0.890 | 33564.0 |
1404 | 2023-03-13 05:41:56 | mesh | 2 | 29872 | 182 | 1.670 | 17887.4 |
1403 | 2023-03-12 19:57:43 | mesh | 2 | 29872 | 182 | 0.876 | 34100.5 |
1402 | 2023-03-11 23:31:12 | mesh | 2 | 29872 | 182 | 0.736 | 40587.0 |
1401 | 2023-03-11 10:22:36 | mesh | 1 | 13983 | 10 | 0.220 | 63559.1 |
1400 | 2023-03-10 16:45:59 | mesh | 2 | 29872 | 182 | 0.763 | 39150.7 |
1399 | 2023-03-09 13:44:17 | mesh | 2 | 29872 | 182 | 0.716 | 41720.7 |
1398 | 2023-03-08 18:44:06 | mesh | 2 | 29872 | 182 | 0.720 | 41488.9 |
1397 | 2023-03-08 00:13:46 | mesh | 2 | 29872 | 182 | 0.750 | 39829.3 |