History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bears"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1457 | 2025-10-10 23:56:36 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1456 | 2025-10-07 18:28:53 | bears | 2 | 53800 | 310 | 1.406 | 38264.6 |
1455 | 2025-10-07 04:26:04 | bears | 1 | 28756 | 27 | 0.533 | 53951.2 |
1454 | 2025-10-07 03:18:52 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1453 | 2025-10-03 05:56:36 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
1452 | 2025-09-27 15:48:37 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
1451 | 2025-09-26 11:00:36 | bears | 1 | 28756 | 27 | 0.593 | 48492.4 |
1450 | 2025-09-24 23:34:14 | bears | 1 | 28756 | 27 | 0.936 | 30722.2 |
1449 | 2025-09-24 23:34:06 | bears | 1 | 28756 | 27 | 1.046 | 27491.4 |
1448 | 2025-09-24 23:33:59 | bears | 1 | 28756 | 27 | 2.703 | 10638.5 |
1447 | 2025-09-24 23:33:50 | bears | 1 | 28756 | 27 | 0.970 | 29645.4 |
1446 | 2025-09-19 19:37:42 | bears | 1 | 28756 | 27 | 0.456 | 63061.4 |
1445 | 2025-09-17 15:12:57 | bears | 1 | 28756 | 27 | 1.016 | 28303.1 |
1444 | 2025-09-17 02:25:01 | bears | 1 | 28756 | 27 | 0.470 | 61183.0 |
1443 | 2025-09-15 18:07:02 | bears | 1 | 28756 | 27 | 0.483 | 59536.2 |
1442 | 2025-09-14 03:39:35 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
1441 | 2025-09-13 17:42:02 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
1440 | 2025-09-12 19:26:21 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
1439 | 2025-09-11 11:52:04 | bears | 1 | 28756 | 27 | 0.670 | 42919.4 |
1438 | 2025-09-04 03:18:15 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1437 | 2025-09-02 02:12:00 | bears | 1 | 28756 | 27 | 0.533 | 53951.2 |
1436 | 2025-09-01 15:47:06 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1435 | 2025-08-31 02:48:38 | bears | 1 | 28756 | 27 | 0.966 | 29768.1 |
1434 | 2025-08-27 16:51:17 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1433 | 2025-08-19 03:39:51 | bears | 1 | 28756 | 27 | 1.173 | 24514.9 |
1432 | 2025-08-17 02:08:28 | bears | 1 | 28756 | 27 | 1.670 | 17219.2 |
1431 | 2025-08-14 13:17:17 | bears | 1 | 28756 | 27 | 0.513 | 56054.6 |
1430 | 2025-08-12 10:45:17 | bears | 1 | 28756 | 27 | 0.733 | 39230.6 |
1429 | 2025-08-05 04:07:04 | bears | 2 | 53800 | 310 | 3.250 | 16553.8 |
1428 | 2025-08-04 02:25:21 | bears | 2 | 53800 | 310 | 2.843 | 18923.7 |
1427 | 2025-08-03 02:35:07 | bears | 2 | 53800 | 310 | 8.453 | 6364.6 |
1426 | 2025-08-02 10:30:59 | bears | 1 | 28756 | 27 | 1.406 | 20452.3 |
1425 | 2025-08-01 08:56:59 | bears | 1 | 28756 | 27 | 4.580 | 6278.6 |
1424 | 2025-07-31 23:22:50 | bears | 1 | 28756 | 27 | 2.280 | 12612.3 |
1423 | 2025-07-31 10:22:42 | bears | 1 | 28756 | 27 | 0.970 | 29645.4 |
1422 | 2025-07-29 12:08:17 | bears | 1 | 28756 | 27 | 0.563 | 51076.4 |
1421 | 2025-07-27 18:14:32 | bears | 1 | 28756 | 27 | 1.343 | 21411.8 |
1420 | 2025-07-18 04:52:35 | bears | 1 | 28756 | 27 | 1.203 | 23903.6 |
1419 | 2025-07-17 11:52:25 | bears | 1 | 28756 | 27 | 2.640 | 10892.4 |
1418 | 2025-07-13 09:20:03 | bears | 1 | 28756 | 27 | 1.250 | 23004.8 |
1417 | 2025-07-11 01:56:33 | bears | 2 | 53800 | 310 | 8.453 | 6364.6 |
1416 | 2025-07-11 00:06:42 | bears | 1 | 28756 | 27 | 3.076 | 9348.5 |
1415 | 2025-07-09 00:08:12 | bears | 2 | 53800 | 310 | 8.563 | 6282.8 |
1414 | 2025-07-02 02:18:17 | bears | 2 | 53800 | 310 | 5.826 | 9234.5 |
1413 | 2025-06-30 22:10:16 | bears | 1 | 28756 | 27 | 2.280 | 12612.3 |
1412 | 2025-06-30 10:54:03 | bears | 1 | 28756 | 27 | 3.360 | 8558.3 |
1411 | 2025-06-28 08:22:42 | bears | 1 | 28756 | 27 | 2.080 | 13825.0 |
1410 | 2025-06-27 00:51:48 | bears | 1 | 28756 | 27 | 0.486 | 59168.7 |
1409 | 2025-06-08 08:51:50 | bears | 1 | 28756 | 27 | 2.420 | 11882.6 |
1408 | 2025-06-07 06:26:55 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
1407 | 2025-06-06 02:18:06 | bears | 1 | 28756 | 27 | 0.983 | 29253.3 |
1406 | 2025-06-04 08:04:08 | bears | 1 | 28756 | 27 | 1.170 | 24577.8 |
1405 | 2025-06-03 07:11:45 | bears | 1 | 28756 | 27 | 3.250 | 8848.0 |
1404 | 2025-05-31 09:11:43 | bears | 1 | 28756 | 27 | 1.250 | 23004.8 |
1403 | 2025-05-31 08:50:15 | bears | 1 | 28756 | 27 | 2.750 | 10456.7 |
1402 | 2025-05-31 05:19:24 | bears | 1 | 28756 | 27 | 2.610 | 11017.6 |
1401 | 2025-05-31 05:09:42 | bears | 1 | 28756 | 27 | 2.453 | 11722.8 |
1400 | 2025-05-27 08:00:37 | bears | 1 | 28756 | 27 | 4.986 | 5767.3 |
1399 | 2025-05-18 17:22:52 | bears | 2 | 53800 | 310 | 8.406 | 6400.2 |
1398 | 2025-05-17 03:31:44 | bears | 1 | 28756 | 27 | 1.096 | 26237.2 |
1397 | 2025-05-14 22:51:04 | bears | 1 | 28756 | 27 | 2.390 | 12031.8 |
1396 | 2025-05-12 18:24:27 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
1395 | 2025-05-10 18:50:10 | bears | 2 | 53800 | 310 | 8.233 | 6534.7 |
1394 | 2025-05-09 07:51:55 | bears | 1 | 28756 | 27 | 1.190 | 24164.7 |
1393 | 2025-05-08 09:57:47 | bears | 1 | 28756 | 27 | 0.983 | 29253.3 |
1392 | 2025-05-08 09:48:36 | bears | 1 | 28756 | 27 | 3.546 | 8109.4 |
1391 | 2025-05-05 16:13:31 | bears | 2 | 53800 | 310 | 1.626 | 33087.3 |
1390 | 2025-05-02 22:52:57 | bears | 1 | 28756 | 27 | 3.080 | 9336.4 |
1389 | 2025-04-30 21:33:27 | bears | 1 | 28756 | 27 | 0.563 | 51076.4 |
1388 | 2025-04-30 11:30:28 | bears | 2 | 53800 | 310 | 4.326 | 12436.4 |
1387 | 2025-04-30 09:31:18 | bears | 1 | 28756 | 27 | 1.373 | 20943.9 |
1386 | 2025-04-30 01:25:40 | bears | 2 | 53800 | 310 | 11.140 | 4829.4 |
1385 | 2025-04-29 19:03:02 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
1384 | 2025-04-28 22:43:23 | bears | 2 | 53800 | 310 | 6.296 | 8545.1 |
1383 | 2025-04-28 06:05:34 | bears | 1 | 28756 | 27 | 1.140 | 25224.6 |
1382 | 2025-04-28 06:01:37 | bears | 1 | 28756 | 27 | 2.016 | 14263.9 |
1381 | 2025-04-27 07:20:08 | bears | 1 | 28756 | 27 | 2.110 | 13628.4 |
1380 | 2025-04-22 06:47:34 | bears | 1 | 28756 | 27 | 1.093 | 26309.2 |
1379 | 2025-04-15 03:04:49 | bears | 1 | 28756 | 27 | 1.203 | 23903.6 |
1378 | 2025-04-09 17:09:39 | bears | 2 | 53800 | 310 | 6.470 | 8315.3 |
1377 | 2025-04-09 03:08:15 | bears | 2 | 53800 | 310 | 7.173 | 7500.3 |
1376 | 2025-04-08 07:55:23 | bears | 1 | 28756 | 27 | 3.750 | 7668.3 |
1375 | 2025-04-06 15:02:11 | bears | 2 | 53800 | 310 | 5.500 | 9781.8 |
1374 | 2025-04-05 01:37:18 | bears | 1 | 28756 | 27 | 2.063 | 13938.9 |
1373 | 2025-03-30 22:37:37 | bears | 1 | 28756 | 27 | 3.170 | 9071.3 |
1372 | 2025-03-24 20:29:14 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
1371 | 2025-03-22 19:27:35 | bears | 1 | 28756 | 27 | 1.936 | 14853.3 |
1370 | 2025-03-16 00:16:31 | bears | 2 | 53800 | 310 | 6.686 | 8046.7 |
1369 | 2025-03-16 00:16:02 | bears | 1 | 28756 | 27 | 3.220 | 8930.4 |
1368 | 2025-03-11 12:23:01 | bears | 1 | 28756 | 27 | 3.626 | 7930.5 |
1367 | 2025-03-08 06:29:43 | bears | 1 | 28756 | 27 | 3.500 | 8216.0 |
1366 | 2025-03-07 19:07:43 | bears | 1 | 28756 | 27 | 2.173 | 13233.3 |
1365 | 2025-03-05 20:30:17 | bears | 1 | 28756 | 27 | 2.483 | 11581.2 |
1364 | 2025-03-03 01:05:52 | bears | 1 | 28756 | 27 | 0.436 | 65954.1 |
1363 | 2025-02-27 10:42:14 | bears | 1 | 28756 | 27 | 2.703 | 10638.5 |
1362 | 2025-02-27 01:44:35 | bears | 1 | 28756 | 27 | 1.343 | 21411.8 |
1361 | 2025-02-25 20:24:26 | bears | 2 | 53800 | 310 | 9.720 | 5535.0 |
1360 | 2025-02-25 11:25:45 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
1359 | 2025-02-25 09:20:07 | bears | 2 | 53800 | 310 | 7.296 | 7373.9 |
1358 | 2025-02-25 08:02:57 | bears | 2 | 53800 | 310 | 7.703 | 6984.3 |