History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"graphs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1447 | 2024-05-10 04:40:27 | graphs | 1 | 48755 | 3 | 0.936 | 52088.7 |
1446 | 2024-05-04 22:44:01 | graphs | 3 | 112716 | 695 | 11.766 | 9579.8 |
1445 | 2024-05-04 20:42:31 | graphs | 2 | 82551 | 67 | 3.923 | 21042.8 |
1444 | 2024-05-04 20:42:07 | graphs | 3 | 112716 | 695 | 7.720 | 14600.5 |
1443 | 2024-05-02 06:21:23 | graphs | 3 | 112716 | 695 | 6.300 | 17891.4 |
1442 | 2024-05-01 06:28:35 | graphs | 3 | 112716 | 695 | 5.313 | 21215.1 |
1441 | 2024-05-01 02:24:32 | graphs | 1 | 48755 | 3 | 0.843 | 57835.1 |
1440 | 2024-04-30 14:16:35 | graphs | 1 | 48755 | 3 | 0.920 | 52994.6 |
1439 | 2024-04-30 05:33:13 | graphs | 2 | 82551 | 67 | 2.233 | 36968.7 |
1438 | 2024-04-30 01:02:36 | graphs | 2 | 82551 | 67 | 3.250 | 25400.3 |
1437 | 2024-04-30 01:01:38 | graphs | 2 | 82551 | 67 | 2.483 | 33246.5 |
1436 | 2024-04-30 01:01:34 | graphs | 1 | 48755 | 3 | 0.856 | 56956.8 |
1435 | 2024-04-30 01:01:13 | graphs | 3 | 112716 | 695 | 6.453 | 17467.2 |
1434 | 2024-04-29 18:01:03 | graphs | 3 | 112716 | 695 | 19.970 | 5644.3 |
1433 | 2024-04-28 16:06:03 | graphs | 3 | 112716 | 695 | 5.373 | 20978.2 |
1432 | 2024-04-25 00:33:19 | graphs | 3 | 112716 | 695 | 22.423 | 5026.8 |
1431 | 2024-04-12 16:12:45 | graphs | 1 | 48755 | 3 | 1.220 | 39963.1 |
1430 | 2024-04-04 23:55:54 | graphs | 2 | 82551 | 67 | 4.890 | 16881.6 |
1429 | 2024-04-04 23:55:48 | graphs | 1 | 48755 | 3 | 1.873 | 26030.4 |
1428 | 2024-04-03 06:34:01 | graphs | 1 | 48755 | 3 | 3.140 | 15527.1 |
1427 | 2024-04-02 18:45:23 | graphs | 3 | 112716 | 695 | 9.170 | 12291.8 |
1426 | 2024-04-01 04:51:53 | graphs | 3 | 112716 | 695 | 7.233 | 15583.6 |
1425 | 2024-03-30 23:41:06 | graphs | 3 | 112716 | 695 | 7.623 | 14786.3 |
1424 | 2024-03-28 23:50:29 | graphs | 2 | 82551 | 67 | 8.030 | 10280.3 |
1423 | 2024-03-28 22:23:57 | graphs | 3 | 112716 | 695 | 13.516 | 8339.4 |
1422 | 2024-03-28 22:22:13 | graphs | 3 | 112716 | 695 | 11.360 | 9922.2 |
1421 | 2024-03-28 22:22:14 | graphs | 2 | 82551 | 67 | 7.093 | 11638.4 |
1420 | 2024-03-28 22:22:07 | graphs | 1 | 48755 | 3 | 1.626 | 29984.6 |
1419 | 2024-03-19 21:20:30 | graphs | 1 | 48755 | 3 | 0.843 | 57835.1 |
1418 | 2024-03-19 21:20:19 | graphs | 2 | 82551 | 67 | 2.093 | 39441.5 |
1417 | 2024-03-18 00:12:29 | graphs | 2 | 82551 | 67 | 2.703 | 30540.5 |
1416 | 2024-03-17 13:46:25 | graphs | 3 | 112716 | 695 | 6.203 | 18171.2 |
1415 | 2024-03-11 02:44:42 | graphs | 3 | 112716 | 695 | 9.110 | 12372.8 |
1414 | 2024-03-03 23:31:04 | graphs | 1 | 48755 | 3 | 2.843 | 17149.1 |
1413 | 2024-03-02 18:35:09 | graphs | 3 | 112716 | 695 | 13.466 | 8370.4 |
1412 | 2024-03-02 18:31:16 | graphs | 2 | 82551 | 67 | 6.890 | 11981.3 |
1411 | 2024-03-02 14:44:37 | graphs | 2 | 82551 | 67 | 2.940 | 28078.6 |
1410 | 2024-03-02 01:43:34 | graphs | 2 | 82551 | 67 | 4.330 | 19064.9 |
1409 | 2024-03-02 01:40:40 | graphs | 3 | 112716 | 695 | 6.486 | 17378.4 |
1408 | 2024-02-28 05:15:36 | graphs | 3 | 112716 | 695 | 20.076 | 5614.5 |
1407 | 2024-02-27 22:04:04 | graphs | 1 | 48755 | 3 | 1.000 | 48755.0 |
1406 | 2024-02-27 10:23:34 | graphs | 2 | 82551 | 67 | 2.190 | 37694.5 |
1405 | 2024-02-27 10:23:14 | graphs | 3 | 112716 | 695 | 5.843 | 19290.8 |
1404 | 2024-02-26 03:59:21 | graphs | 2 | 82551 | 67 | 3.516 | 23478.7 |
1403 | 2024-02-26 03:33:48 | graphs | 3 | 112716 | 695 | 6.436 | 17513.4 |
1402 | 2024-02-26 01:54:51 | graphs | 3 | 112716 | 695 | 8.970 | 12565.9 |
1401 | 2024-02-07 01:32:58 | graphs | 1 | 48755 | 3 | 0.843 | 57835.1 |
1400 | 2024-01-19 22:57:04 | graphs | 3 | 112716 | 695 | 5.110 | 22057.9 |
1399 | 2024-01-14 23:54:42 | graphs | 2 | 82551 | 67 | 2.423 | 34069.7 |
1398 | 2024-01-14 14:44:07 | graphs | 1 | 48755 | 3 | 1.656 | 29441.4 |
1397 | 2024-01-07 16:49:59 | graphs | 1 | 48755 | 3 | 0.906 | 53813.5 |
1396 | 2023-12-31 20:21:25 | graphs | 3 | 112716 | 695 | 5.093 | 22131.6 |
1395 | 2023-12-23 04:46:10 | graphs | 3 | 112716 | 695 | 5.033 | 22395.4 |
1394 | 2023-12-18 19:53:53 | graphs | 3 | 112716 | 695 | 5.500 | 20493.8 |
1393 | 2023-12-17 10:09:07 | graphs | 2 | 82551 | 67 | 2.453 | 33653.1 |
1392 | 2023-12-09 05:27:48 | graphs | 1 | 48755 | 3 | 0.766 | 63648.8 |
1391 | 2023-12-07 20:11:37 | graphs | 3 | 112716 | 695 | 5.156 | 21861.1 |
1390 | 2023-11-29 12:49:42 | graphs | 2 | 82551 | 67 | 2.263 | 36478.6 |
1389 | 2023-11-25 22:12:46 | graphs | 1 | 48755 | 3 | 0.890 | 54780.9 |
1388 | 2023-11-20 17:05:03 | graphs | 1 | 48755 | 3 | 0.830 | 58741.0 |
1387 | 2023-11-17 16:59:34 | graphs | 3 | 112716 | 695 | 4.576 | 24632.0 |
1386 | 2023-11-13 02:40:04 | graphs | 3 | 112716 | 695 | 9.050 | 12454.8 |
1385 | 2023-11-12 02:56:12 | graphs | 3 | 112716 | 695 | 5.593 | 20153.0 |
1384 | 2023-11-07 16:30:43 | graphs | 3 | 112716 | 695 | 4.610 | 24450.3 |
1383 | 2023-11-06 15:31:05 | graphs | 3 | 112716 | 695 | 4.813 | 23419.1 |
1382 | 2023-11-05 15:30:30 | graphs | 3 | 112716 | 695 | 4.860 | 23192.6 |
1381 | 2023-11-04 21:43:23 | graphs | 2 | 82551 | 67 | 2.453 | 33653.1 |
1380 | 2023-11-04 21:43:18 | graphs | 1 | 48755 | 3 | 0.796 | 61250.0 |
1379 | 2023-11-04 15:24:52 | graphs | 3 | 112716 | 695 | 4.656 | 24208.8 |
1378 | 2023-11-03 16:22:15 | graphs | 3 | 112716 | 695 | 5.563 | 20261.7 |
1377 | 2023-11-02 15:41:30 | graphs | 3 | 112716 | 695 | 4.686 | 24053.8 |
1376 | 2023-11-01 08:58:09 | graphs | 3 | 112716 | 695 | 4.950 | 22770.9 |
1375 | 2023-10-31 21:20:42 | graphs | 3 | 112716 | 695 | 5.516 | 20434.4 |
1374 | 2023-10-31 08:52:51 | graphs | 3 | 112716 | 695 | 5.423 | 20784.8 |
1373 | 2023-10-30 21:26:43 | graphs | 3 | 112716 | 695 | 4.656 | 24208.8 |
1372 | 2023-10-30 19:19:30 | graphs | 1 | 48755 | 3 | 1.733 | 28133.3 |
1371 | 2023-10-30 18:24:49 | graphs | 1 | 48755 | 3 | 0.736 | 66243.2 |
1370 | 2023-10-30 08:46:56 | graphs | 3 | 112716 | 695 | 5.310 | 21227.1 |
1369 | 2023-10-29 20:13:50 | graphs | 3 | 112716 | 695 | 5.766 | 19548.4 |
1368 | 2023-10-29 08:45:35 | graphs | 3 | 112716 | 695 | 4.626 | 24365.8 |
1367 | 2023-10-28 20:39:54 | graphs | 3 | 112716 | 695 | 5.546 | 20323.8 |
1366 | 2023-10-28 09:18:59 | graphs | 3 | 112716 | 695 | 4.970 | 22679.3 |
1365 | 2023-10-27 20:46:50 | graphs | 3 | 112716 | 695 | 5.826 | 19347.1 |
1364 | 2023-10-27 08:50:06 | graphs | 3 | 112716 | 695 | 5.296 | 21283.2 |
1363 | 2023-10-26 09:16:59 | graphs | 3 | 112716 | 695 | 4.623 | 24381.6 |
1362 | 2023-10-26 08:26:48 | graphs | 3 | 112716 | 695 | 6.390 | 17639.4 |
1361 | 2023-10-25 18:12:30 | graphs | 3 | 112716 | 695 | 5.530 | 20382.6 |
1360 | 2023-10-25 07:27:10 | graphs | 3 | 112716 | 695 | 4.656 | 24208.8 |
1359 | 2023-10-24 18:20:04 | graphs | 3 | 112716 | 695 | 5.453 | 20670.5 |
1358 | 2023-10-24 07:43:30 | graphs | 3 | 112716 | 695 | 5.236 | 21527.1 |
1357 | 2023-10-23 20:14:37 | graphs | 1 | 48755 | 3 | 0.860 | 56691.9 |
1356 | 2023-10-23 12:54:13 | graphs | 3 | 112716 | 695 | 6.190 | 18209.4 |
1355 | 2023-10-22 12:17:12 | graphs | 3 | 112716 | 695 | 5.580 | 20200.0 |
1354 | 2023-10-21 21:28:46 | graphs | 3 | 112716 | 695 | 5.033 | 22395.4 |
1353 | 2023-10-21 12:31:05 | graphs | 3 | 112716 | 695 | 4.986 | 22606.5 |
1352 | 2023-10-20 13:11:32 | graphs | 3 | 112716 | 695 | 5.046 | 22337.7 |
1351 | 2023-10-19 22:42:49 | graphs | 3 | 112716 | 695 | 4.580 | 24610.5 |
1350 | 2023-10-19 22:26:09 | graphs | 3 | 112716 | 695 | 6.156 | 18309.9 |
1349 | 2023-10-19 08:50:59 | graphs | 3 | 112716 | 695 | 4.656 | 24208.8 |
1348 | 2023-10-18 22:14:07 | graphs | 3 | 112716 | 695 | 4.736 | 23799.8 |