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 |
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 |
1345 | 2025-05-01 07:07:27 | prod | 1 | 13983 | 16 | 1.263 | 11071.3 |
1344 | 2025-04-29 16:45:41 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1343 | 2025-04-27 21:07:34 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
1342 | 2025-04-26 04:34:30 | prod | 1 | 13983 | 16 | 1.376 | 10162.1 |
1341 | 2025-04-12 05:19:29 | prod | 1 | 13983 | 16 | 0.966 | 14475.2 |
1340 | 2025-04-06 11:48:33 | prod | 1 | 13983 | 16 | 1.186 | 11790.1 |
1339 | 2025-04-04 01:56:29 | prod | 2 | 29872 | 203 | 6.423 | 4650.8 |
1338 | 2025-04-01 06:14:53 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
1337 | 2025-03-26 05:26:16 | prod | 1 | 13983 | 16 | 1.653 | 8459.2 |
1336 | 2025-03-14 20:37:58 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
1335 | 2025-03-13 23:08:47 | prod | 1 | 13983 | 16 | 1.703 | 8210.8 |
1334 | 2025-03-12 21:13:12 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1333 | 2025-03-07 15:02:26 | prod | 1 | 13983 | 16 | 0.610 | 22923.0 |
1332 | 2025-03-06 16:51:29 | prod | 2 | 29872 | 203 | 4.546 | 6571.1 |
1331 | 2025-03-06 16:45:22 | prod | 1 | 13983 | 16 | 0.580 | 24108.6 |
1330 | 2025-03-01 05:32:20 | prod | 1 | 13983 | 16 | 1.610 | 8685.1 |
1329 | 2025-02-25 09:29:03 | prod | 2 | 29872 | 203 | 2.360 | 12657.6 |
1328 | 2025-02-25 08:41:32 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
1327 | 2025-02-24 13:58:14 | prod | 2 | 29872 | 203 | 4.376 | 6826.3 |
1326 | 2025-02-24 12:41:23 | prod | 1 | 13983 | 16 | 1.043 | 13406.5 |
1325 | 2025-02-24 10:32:07 | prod | 2 | 29872 | 203 | 4.203 | 7107.3 |
1324 | 2025-02-24 01:29:39 | prod | 2 | 29872 | 203 | 3.890 | 7679.2 |
1323 | 2025-02-23 18:09:16 | prod | 1 | 13983 | 16 | 0.936 | 14939.1 |
1322 | 2025-02-20 11:51:02 | prod | 1 | 13983 | 16 | 0.343 | 40766.8 |
1321 | 2025-02-07 13:52:36 | prod | 1 | 13983 | 16 | 1.906 | 7336.3 |
1320 | 2025-02-04 12:03:15 | prod | 1 | 13983 | 16 | 0.673 | 20777.1 |
1319 | 2025-01-26 06:33:53 | prod | 1 | 13983 | 16 | 0.516 | 27098.8 |
1318 | 2025-01-25 09:12:28 | prod | 2 | 29872 | 203 | 4.393 | 6799.9 |
1317 | 2025-01-25 08:13:23 | prod | 2 | 29872 | 203 | 2.720 | 10982.4 |