History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prod"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1445 | 2025-11-02 05:19:11 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1444 | 2025-10-30 07:07:54 | prod | 1 | 13983 | 16 | 0.466 | 30006.4 |
| 1443 | 2025-10-30 05:11:49 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1442 | 2025-10-28 15:12:23 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1441 | 2025-10-28 00:40:01 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1440 | 2025-10-26 15:05:18 | prod | 1 | 13983 | 16 | 0.360 | 38841.7 |
| 1439 | 2025-10-25 18:34:34 | prod | 2 | 29872 | 203 | 0.860 | 34734.9 |
| 1438 | 2025-10-25 08:59:45 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1437 | 2025-10-20 04:15:36 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1436 | 2025-10-14 17:54:37 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1435 | 2025-10-12 02:53:04 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1434 | 2025-10-10 13:54:43 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1433 | 2025-10-09 19:27:26 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1432 | 2025-10-08 14:25:09 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1431 | 2025-10-08 07:02:26 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1430 | 2025-10-07 04:56:05 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1429 | 2025-10-07 04:25:24 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1428 | 2025-10-06 21:00:28 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1427 | 2025-10-02 17:02:17 | prod | 2 | 29872 | 203 | 0.843 | 35435.3 |
| 1426 | 2025-10-02 05:36:32 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1425 | 2025-09-28 07:03:58 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1424 | 2025-09-28 05:01:51 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1423 | 2025-09-25 09:54:01 | prod | 2 | 29872 | 203 | 1.780 | 16782.0 |
| 1422 | 2025-09-25 06:01:05 | prod | 1 | 13983 | 16 | 1.203 | 11623.4 |
| 1421 | 2025-09-24 22:33:11 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1420 | 2025-09-24 15:46:07 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1419 | 2025-09-22 17:14:23 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1418 | 2025-09-21 14:52:09 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1417 | 2025-09-18 10:49:32 | prod | 2 | 29872 | 203 | 0.750 | 39829.3 |
| 1416 | 2025-09-15 11:56:09 | prod | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1415 | 2025-09-13 14:29:05 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1414 | 2025-09-12 16:56:25 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1413 | 2025-09-09 12:24:17 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1412 | 2025-09-07 07:03:27 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1411 | 2025-09-06 20:38:09 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1410 | 2025-09-06 20:35:07 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1409 | 2025-09-06 19:56:10 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1408 | 2025-09-06 15:50:06 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1407 | 2025-09-05 21:12:46 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1406 | 2025-09-05 20:16:26 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1405 | 2025-09-03 07:08:42 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1404 | 2025-09-02 03:10:06 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1403 | 2025-08-28 04:27:57 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1402 | 2025-08-28 01:39:07 | prod | 2 | 29872 | 203 | 0.923 | 32364.0 |
| 1401 | 2025-08-27 12:12:29 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1400 | 2025-08-27 07:08:59 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1399 | 2025-08-17 10:49:01 | prod | 2 | 29872 | 203 | 3.936 | 7589.4 |
| 1398 | 2025-08-14 17:01:50 | prod | 2 | 29872 | 203 | 0.923 | 32364.0 |
| 1397 | 2025-08-09 13:05:53 | prod | 1 | 13983 | 16 | 1.173 | 11920.7 |
| 1396 | 2025-08-04 08:05:30 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1395 | 2025-08-04 06:16:33 | prod | 1 | 13983 | 16 | 1.406 | 9945.2 |
| 1394 | 2025-08-03 13:37:48 | prod | 1 | 13983 | 16 | 0.826 | 16928.6 |
| 1393 | 2025-08-01 16:25:38 | prod | 2 | 29872 | 203 | 3.580 | 8344.1 |
| 1392 | 2025-07-31 06:13:42 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1391 | 2025-07-26 03:46:53 | prod | 2 | 29872 | 203 | 4.656 | 6415.8 |
| 1390 | 2025-07-24 09:47:08 | prod | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1389 | 2025-07-21 20:53:18 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1388 | 2025-07-20 16:54:15 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1387 | 2025-07-19 07:07:19 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1386 | 2025-07-18 20:08:11 | prod | 1 | 13983 | 16 | 1.093 | 12793.2 |
| 1385 | 2025-07-16 00:09:50 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1384 | 2025-07-15 23:26:07 | prod | 1 | 13983 | 16 | 0.533 | 26234.5 |
| 1383 | 2025-07-13 17:35:45 | prod | 2 | 29872 | 203 | 1.330 | 22460.2 |
| 1382 | 2025-07-08 12:52:06 | prod | 1 | 13983 | 16 | 1.093 | 12793.2 |
| 1381 | 2025-07-07 05:08:43 | prod | 1 | 13983 | 16 | 0.703 | 19890.5 |
| 1380 | 2025-07-04 13:12:37 | prod | 1 | 13983 | 16 | 1.720 | 8129.7 |
| 1379 | 2025-07-04 07:59:37 | prod | 1 | 13983 | 16 | 0.500 | 27966.0 |
| 1378 | 2025-07-02 02:14:47 | prod | 1 | 13983 | 16 | 1.436 | 9737.5 |
| 1377 | 2025-07-01 20:28:05 | prod | 1 | 13983 | 16 | 1.330 | 10513.5 |
| 1376 | 2025-06-30 05:42:19 | prod | 1 | 13983 | 16 | 1.860 | 7517.7 |
| 1375 | 2025-06-29 21:52:04 | prod | 1 | 13983 | 16 | 1.780 | 7855.6 |
| 1374 | 2025-06-27 05:57:15 | prod | 1 | 13983 | 16 | 0.466 | 30006.4 |
| 1373 | 2025-06-24 17:36:51 | prod | 1 | 13983 | 16 | 0.686 | 20383.4 |
| 1372 | 2025-06-18 15:35:14 | prod | 1 | 13983 | 16 | 0.796 | 17566.6 |
| 1371 | 2025-06-16 20:30:07 | prod | 1 | 13983 | 16 | 1.420 | 9847.2 |
| 1370 | 2025-06-16 08:34:15 | prod | 2 | 29872 | 203 | 4.030 | 7412.4 |
| 1369 | 2025-06-15 10:53:02 | prod | 1 | 13983 | 16 | 0.530 | 26383.0 |
| 1368 | 2025-06-14 02:27:51 | prod | 2 | 29872 | 203 | 4.156 | 7187.7 |
| 1367 | 2025-06-13 05:24:14 | prod | 1 | 13983 | 16 | 1.376 | 10162.1 |
| 1366 | 2025-06-12 12:04:04 | prod | 1 | 13983 | 16 | 1.296 | 10789.4 |
| 1365 | 2025-06-10 21:01:07 | prod | 2 | 29872 | 203 | 1.733 | 17237.2 |
| 1364 | 2025-05-30 13:00:13 | prod | 1 | 13983 | 16 | 0.936 | 14939.1 |
| 1363 | 2025-05-30 02:29:33 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1362 | 2025-05-30 00:31:53 | prod | 2 | 29872 | 203 | 1.843 | 16208.4 |
| 1361 | 2025-05-28 21:20:14 | prod | 1 | 13983 | 16 | 1.423 | 9826.4 |
| 1360 | 2025-05-28 06:25:37 | prod | 2 | 29872 | 203 | 4.500 | 6638.2 |
| 1359 | 2025-05-28 06:05:50 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1358 | 2025-05-27 05:43:22 | prod | 1 | 13983 | 16 | 1.156 | 12096.0 |
| 1357 | 2025-05-26 08:40:00 | prod | 1 | 13983 | 16 | 1.406 | 9945.2 |
| 1356 | 2025-05-22 20:45:42 | prod | 2 | 29872 | 203 | 0.970 | 30795.9 |
| 1355 | 2025-05-21 04:33:39 | prod | 2 | 29872 | 203 | 1.313 | 22751.0 |
| 1354 | 2025-05-20 17:46:40 | prod | 1 | 13983 | 16 | 1.533 | 9121.3 |
| 1353 | 2025-05-14 09:16:00 | prod | 2 | 29872 | 203 | 8.233 | 3628.3 |
| 1352 | 2025-05-14 06:10:51 | prod | 1 | 13983 | 16 | 0.720 | 19420.8 |
| 1351 | 2025-05-14 06:05:02 | prod | 1 | 13983 | 16 | 1.906 | 7336.3 |
| 1350 | 2025-05-14 03:04:51 | prod | 2 | 29872 | 203 | 2.390 | 12498.7 |
| 1349 | 2025-05-12 08:33:07 | prod | 2 | 29872 | 203 | 4.420 | 6758.4 |
| 1348 | 2025-05-10 21:32:56 | prod | 2 | 29872 | 203 | 6.550 | 4560.6 |
| 1347 | 2025-05-08 13:11:02 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1346 | 2025-05-08 12:18:28 | prod | 1 | 13983 | 16 | 0.970 | 14415.5 |