History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lays"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1405 | 2025-09-15 02:41:42 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1404 | 2025-09-13 03:34:33 | lays | 2 | 29872 | 457 | 1.296 | 23049.4 |
1403 | 2025-09-05 16:03:02 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1402 | 2025-09-03 01:13:34 | lays | 2 | 29872 | 457 | 0.780 | 38297.4 |
1401 | 2025-09-01 04:31:35 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1400 | 2025-08-31 11:37:26 | lays | 2 | 29872 | 457 | 0.936 | 31914.5 |
1399 | 2025-08-29 23:03:12 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1398 | 2025-08-27 09:16:45 | lays | 2 | 29872 | 457 | 0.966 | 30923.4 |
1397 | 2025-08-25 11:25:48 | lays | 2 | 29872 | 457 | 3.080 | 9698.7 |
1396 | 2025-08-23 21:54:08 | lays | 1 | 13983 | 35 | 0.516 | 27098.8 |
1395 | 2025-08-17 21:10:30 | lays | 2 | 29872 | 457 | 4.406 | 6779.8 |
1394 | 2025-08-10 00:26:30 | lays | 1 | 13983 | 35 | 1.326 | 10545.2 |
1393 | 2025-08-08 18:11:47 | lays | 2 | 29872 | 457 | 0.983 | 30388.6 |
1392 | 2025-08-04 03:14:36 | lays | 2 | 29872 | 457 | 4.313 | 6926.0 |
1391 | 2025-08-04 03:14:14 | lays | 2 | 29872 | 457 | 4.763 | 6271.7 |
1390 | 2025-08-03 01:33:05 | lays | 1 | 13983 | 35 | 1.203 | 11623.4 |
1389 | 2025-08-02 03:11:38 | lays | 2 | 29872 | 457 | 3.813 | 7834.3 |
1388 | 2025-08-01 22:48:22 | lays | 1 | 13983 | 35 | 1.160 | 12054.3 |
1387 | 2025-07-31 06:19:03 | lays | 2 | 29872 | 457 | 5.656 | 5281.5 |
1386 | 2025-07-31 06:11:33 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1385 | 2025-07-30 22:12:23 | lays | 2 | 29872 | 457 | 0.780 | 38297.4 |
1384 | 2025-07-28 01:32:00 | lays | 1 | 13983 | 35 | 0.283 | 49409.9 |
1383 | 2025-07-26 22:34:39 | lays | 1 | 13983 | 35 | 0.876 | 15962.3 |
1382 | 2025-07-24 06:12:35 | lays | 1 | 13983 | 35 | 1.046 | 13368.1 |
1381 | 2025-07-23 12:04:53 | lays | 1 | 13983 | 35 | 1.576 | 8872.5 |
1380 | 2025-07-23 04:39:52 | lays | 1 | 13983 | 35 | 1.126 | 12418.3 |
1379 | 2025-07-19 20:02:52 | lays | 2 | 29872 | 457 | 0.890 | 33564.0 |
1378 | 2025-07-14 21:54:16 | lays | 2 | 29872 | 457 | 4.890 | 6108.8 |
1377 | 2025-07-12 08:20:46 | lays | 2 | 29872 | 457 | 0.843 | 35435.3 |
1376 | 2025-07-11 19:34:55 | lays | 2 | 29872 | 457 | 6.466 | 4619.9 |
1375 | 2025-07-10 02:18:41 | lays | 1 | 13983 | 35 | 0.860 | 16259.3 |
1374 | 2025-07-07 21:06:02 | lays | 2 | 29872 | 457 | 5.233 | 5708.4 |
1373 | 2025-07-05 04:09:07 | lays | 2 | 29872 | 457 | 4.703 | 6351.7 |
1372 | 2025-07-03 06:49:12 | lays | 1 | 13983 | 35 | 0.236 | 59250.0 |
1371 | 2025-07-02 11:28:15 | lays | 1 | 13983 | 35 | 1.500 | 9322.0 |
1370 | 2025-07-01 22:43:27 | lays | 1 | 13983 | 35 | 1.390 | 10059.7 |
1369 | 2025-06-30 10:12:33 | lays | 1 | 13983 | 35 | 1.373 | 10184.3 |
1368 | 2025-06-28 05:31:57 | lays | 1 | 13983 | 35 | 1.843 | 7587.1 |
1367 | 2025-06-26 12:35:05 | lays | 1 | 13983 | 35 | 2.076 | 6735.5 |
1366 | 2025-06-25 23:00:46 | lays | 1 | 13983 | 35 | 1.390 | 10059.7 |
1365 | 2025-06-22 12:23:42 | lays | 2 | 29872 | 457 | 2.516 | 11872.8 |
1364 | 2025-06-18 10:46:17 | lays | 2 | 29872 | 457 | 8.486 | 3520.2 |
1363 | 2025-06-17 23:39:22 | lays | 1 | 13983 | 35 | 1.356 | 10311.9 |
1362 | 2025-06-17 05:18:23 | lays | 1 | 13983 | 35 | 1.313 | 10649.7 |
1361 | 2025-06-17 00:24:33 | lays | 2 | 29872 | 457 | 4.373 | 6831.0 |
1360 | 2025-06-14 05:08:38 | lays | 1 | 13983 | 35 | 1.283 | 10898.7 |
1359 | 2025-06-13 16:02:24 | lays | 1 | 13983 | 35 | 0.283 | 49409.9 |
1358 | 2025-06-12 13:02:01 | lays | 2 | 29872 | 457 | 4.376 | 6826.3 |
1357 | 2025-06-10 08:49:14 | lays | 2 | 29872 | 457 | 4.873 | 6130.1 |
1356 | 2025-06-01 21:37:03 | lays | 2 | 29872 | 457 | 8.690 | 3437.5 |
1355 | 2025-05-31 22:11:23 | lays | 1 | 13983 | 35 | 0.703 | 19890.5 |
1354 | 2025-05-30 02:39:22 | lays | 1 | 13983 | 35 | 1.373 | 10184.3 |
1353 | 2025-05-29 06:53:42 | lays | 2 | 29872 | 457 | 2.160 | 13829.6 |
1352 | 2025-05-29 05:56:05 | lays | 1 | 13983 | 35 | 0.296 | 47239.9 |
1351 | 2025-05-28 22:22:26 | lays | 2 | 29872 | 457 | 4.750 | 6288.8 |
1350 | 2025-05-28 15:43:59 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1349 | 2025-05-28 05:03:16 | lays | 1 | 13983 | 35 | 0.373 | 37487.9 |
1348 | 2025-05-27 22:02:06 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1347 | 2025-05-27 21:58:30 | lays | 2 | 29872 | 457 | 0.843 | 35435.3 |
1346 | 2025-05-27 10:31:25 | lays | 1 | 13983 | 35 | 1.156 | 12096.0 |
1345 | 2025-05-27 07:34:39 | lays | 2 | 29872 | 457 | 4.296 | 6953.4 |
1344 | 2025-05-25 06:32:06 | lays | 2 | 29872 | 457 | 0.940 | 31778.7 |
1343 | 2025-05-25 05:52:11 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1342 | 2025-05-22 20:37:12 | lays | 1 | 13983 | 35 | 0.516 | 27098.8 |
1341 | 2025-05-19 14:15:13 | lays | 2 | 29872 | 457 | 0.873 | 34217.6 |
1340 | 2025-05-17 10:26:37 | lays | 1 | 13983 | 35 | 0.623 | 22444.6 |
1339 | 2025-05-15 04:07:19 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1338 | 2025-05-14 05:28:53 | lays | 1 | 13983 | 35 | 0.673 | 20777.1 |
1337 | 2025-05-14 01:18:48 | lays | 1 | 13983 | 35 | 0.843 | 16587.2 |
1336 | 2025-05-12 05:38:54 | lays | 1 | 13983 | 35 | 1.203 | 11623.4 |
1335 | 2025-05-09 11:08:51 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1334 | 2025-05-08 10:11:49 | lays | 2 | 29872 | 457 | 2.296 | 13010.5 |
1333 | 2025-05-08 00:24:24 | lays | 2 | 29872 | 457 | 4.560 | 6550.9 |
1332 | 2025-05-07 12:03:15 | lays | 2 | 29872 | 457 | 0.970 | 30795.9 |
1331 | 2025-05-06 11:18:32 | lays | 2 | 29872 | 457 | 6.716 | 4447.9 |
1330 | 2025-05-05 04:09:47 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1329 | 2025-05-04 17:32:26 | lays | 2 | 29872 | 457 | 4.813 | 6206.5 |
1328 | 2025-05-03 18:20:22 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1327 | 2025-05-02 21:52:57 | lays | 1 | 13983 | 35 | 1.406 | 9945.2 |
1326 | 2025-04-30 19:49:30 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1325 | 2025-04-30 09:59:00 | lays | 1 | 13983 | 35 | 1.423 | 9826.4 |
1324 | 2025-04-29 22:26:56 | lays | 1 | 13983 | 35 | 0.920 | 15198.9 |
1323 | 2025-04-26 23:03:17 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1322 | 2025-04-24 17:29:18 | lays | 2 | 29872 | 457 | 0.830 | 35990.4 |
1321 | 2025-04-17 22:04:27 | lays | 1 | 13983 | 35 | 0.296 | 47239.9 |
1320 | 2025-04-15 10:25:41 | lays | 1 | 13983 | 35 | 1.346 | 10388.6 |
1319 | 2025-04-09 19:13:14 | lays | 1 | 13983 | 35 | 0.686 | 20383.4 |
1318 | 2025-04-07 12:28:34 | lays | 2 | 29872 | 457 | 4.076 | 7328.8 |
1317 | 2025-04-06 10:28:02 | lays | 2 | 29872 | 457 | 3.093 | 9657.9 |
1316 | 2025-04-06 00:14:02 | lays | 2 | 29872 | 457 | 6.500 | 4595.7 |
1315 | 2025-04-05 23:58:19 | lays | 1 | 13983 | 35 | 1.376 | 10162.1 |
1314 | 2025-04-05 10:59:54 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1313 | 2025-04-04 16:58:14 | lays | 2 | 29872 | 457 | 4.703 | 6351.7 |
1312 | 2025-03-30 15:06:48 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1311 | 2025-03-29 11:54:27 | lays | 1 | 13983 | 35 | 0.983 | 14224.8 |
1310 | 2025-03-29 02:31:23 | lays | 1 | 13983 | 35 | 1.623 | 8615.5 |
1309 | 2025-03-28 23:53:51 | lays | 1 | 13983 | 35 | 1.223 | 11433.4 |
1308 | 2025-03-28 05:09:15 | lays | 1 | 13983 | 35 | 1.173 | 11920.7 |
1307 | 2025-03-25 06:02:21 | lays | 1 | 13983 | 35 | 0.530 | 26383.0 |
1306 | 2025-03-21 19:43:39 | lays | 2 | 29872 | 457 | 2.233 | 13377.5 |