History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mislearn"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1379 | 2025-09-11 09:45:42 | mislearn | 1 | 82945 | 3 | 1.440 | 57600.7 |
1378 | 2025-08-27 12:17:02 | mislearn | 1 | 82945 | 3 | 1.390 | 59672.7 |
1377 | 2025-08-07 05:02:50 | mislearn | 3 | 146162 | 69 | 18.380 | 7952.2 |
1376 | 2025-08-06 05:34:21 | mislearn | 3 | 146162 | 69 | 26.173 | 5584.5 |
1375 | 2025-08-05 16:53:30 | mislearn | 3 | 146162 | 69 | 30.220 | 4836.6 |
1374 | 2025-08-05 15:25:50 | mislearn | 1 | 82945 | 3 | 6.986 | 11873.0 |
1373 | 2025-08-03 21:28:34 | mislearn | 3 | 146162 | 69 | 29.813 | 4902.6 |
1372 | 2025-07-31 22:50:58 | mislearn | 1 | 82945 | 3 | 3.686 | 22502.7 |
1371 | 2025-07-28 20:43:00 | mislearn | 3 | 146162 | 69 | 45.086 | 3241.8 |
1370 | 2025-07-28 12:09:44 | mislearn | 3 | 146162 | 69 | 34.110 | 4285.0 |
1369 | 2025-07-28 10:42:00 | mislearn | 3 | 146162 | 69 | 20.313 | 7195.5 |
1368 | 2025-07-27 18:13:41 | mislearn | 3 | 146162 | 69 | 24.360 | 6000.1 |
1367 | 2025-07-27 04:32:20 | mislearn | 1 | 82945 | 3 | 5.593 | 14830.1 |
1366 | 2025-07-25 13:02:06 | mislearn | 3 | 146162 | 69 | 16.813 | 8693.4 |
1365 | 2025-07-25 07:29:53 | mislearn | 3 | 146162 | 69 | 27.860 | 5246.3 |
1364 | 2025-07-24 20:52:19 | mislearn | 1 | 82945 | 3 | 5.656 | 14665.0 |
1363 | 2025-07-24 17:45:36 | mislearn | 1 | 82945 | 3 | 5.953 | 13933.3 |
1362 | 2025-07-24 09:07:32 | mislearn | 1 | 82945 | 3 | 8.156 | 10169.8 |
1361 | 2025-07-23 14:00:19 | mislearn | 4 | 161609 | 635 | 56.066 | 2882.5 |
1360 | 2025-07-20 19:18:13 | mislearn | 3 | 146162 | 69 | 7.360 | 19859.0 |
1359 | 2025-07-08 02:53:36 | mislearn | 1 | 82945 | 3 | 7.486 | 11080.0 |
1358 | 2025-06-28 09:46:32 | mislearn | 4 | 161609 | 635 | 72.533 | 2228.1 |
1357 | 2025-06-26 11:38:35 | mislearn | 4 | 161609 | 635 | 65.096 | 2482.6 |
1356 | 2025-06-25 17:37:36 | mislearn | 4 | 161609 | 635 | 82.460 | 1959.8 |
1355 | 2025-06-24 04:19:55 | mislearn | 1 | 82945 | 3 | 7.013 | 11827.3 |
1354 | 2025-06-23 14:40:10 | mislearn | 4 | 161609 | 635 | 30.516 | 5295.9 |
1353 | 2025-06-21 04:06:20 | mislearn | 1 | 82945 | 3 | 4.016 | 20653.6 |
1352 | 2025-06-17 18:36:00 | mislearn | 1 | 82945 | 3 | 2.046 | 40540.1 |
1351 | 2025-06-11 23:23:19 | mislearn | 1 | 82945 | 3 | 7.076 | 11722.0 |
1350 | 2025-06-07 06:33:07 | mislearn | 4 | 161609 | 635 | 43.846 | 3685.8 |
1349 | 2025-05-28 07:32:05 | mislearn | 1 | 82945 | 3 | 1.486 | 55817.6 |
1348 | 2025-05-23 22:43:29 | mislearn | 1 | 82945 | 3 | 4.470 | 18555.9 |
1347 | 2025-05-23 15:07:54 | mislearn | 4 | 161609 | 635 | 14.750 | 10956.5 |
1346 | 2025-05-22 10:25:06 | mislearn | 4 | 161609 | 635 | 69.036 | 2340.9 |
1345 | 2025-05-22 04:54:03 | mislearn | 4 | 161609 | 635 | 81.616 | 1980.1 |
1344 | 2025-05-22 00:02:50 | mislearn | 1 | 82945 | 3 | 5.280 | 15709.3 |
1343 | 2025-05-20 18:15:43 | mislearn | 4 | 161609 | 635 | 88.690 | 1822.2 |
1342 | 2025-05-20 06:07:07 | mislearn | 4 | 161609 | 635 | 67.580 | 2391.4 |
1341 | 2025-05-19 11:06:50 | mislearn | 4 | 161609 | 635 | 30.956 | 5220.6 |
1340 | 2025-05-13 18:10:54 | mislearn | 1 | 82945 | 3 | 2.950 | 28116.9 |
1339 | 2025-05-10 08:02:41 | mislearn | 1 | 82945 | 3 | 6.920 | 11986.3 |
1338 | 2025-05-09 02:54:38 | mislearn | 4 | 161609 | 635 | 11.656 | 13864.9 |
1337 | 2025-05-03 02:56:13 | mislearn | 1 | 82945 | 3 | 8.093 | 10249.0 |
1336 | 2025-05-02 13:51:51 | mislearn | 1 | 82945 | 3 | 3.233 | 25655.7 |
1335 | 2025-04-30 05:08:01 | mislearn | 1 | 82945 | 3 | 7.093 | 11693.9 |
1334 | 2025-04-24 08:05:26 | mislearn | 4 | 161609 | 635 | 64.236 | 2515.9 |
1333 | 2025-04-24 02:48:26 | mislearn | 4 | 161609 | 635 | 69.246 | 2333.8 |
1332 | 2025-04-23 04:31:16 | mislearn | 1 | 82945 | 3 | 7.830 | 10593.2 |
1331 | 2025-04-22 21:14:13 | mislearn | 1 | 82945 | 3 | 6.546 | 12671.1 |
1330 | 2025-04-18 16:45:27 | mislearn | 4 | 161609 | 635 | 31.970 | 5055.0 |
1329 | 2025-04-18 10:51:29 | mislearn | 4 | 161609 | 635 | 52.276 | 3091.5 |
1328 | 2025-04-18 06:53:50 | mislearn | 4 | 161609 | 635 | 51.753 | 3122.7 |
1327 | 2025-04-16 12:40:45 | mislearn | 2 | 121059 | 11 | 15.343 | 7890.2 |
1326 | 2025-04-16 03:07:50 | mislearn | 4 | 161609 | 635 | 59.063 | 2736.2 |
1325 | 2025-04-15 08:00:02 | mislearn | 3 | 146162 | 69 | 21.470 | 6807.7 |
1324 | 2025-04-15 05:37:54 | mislearn | 3 | 146162 | 69 | 7.986 | 18302.3 |
1323 | 2025-04-13 12:19:02 | mislearn | 3 | 146162 | 69 | 7.500 | 19488.3 |
1322 | 2025-04-11 12:53:22 | mislearn | 1 | 82945 | 3 | 8.436 | 9832.3 |
1321 | 2025-04-09 08:07:46 | mislearn | 1 | 82945 | 3 | 9.406 | 8818.3 |
1320 | 2025-04-06 04:14:32 | mislearn | 3 | 146162 | 69 | 36.973 | 3953.2 |
1319 | 2025-04-03 20:08:13 | mislearn | 3 | 146162 | 69 | 26.563 | 5502.5 |
1318 | 2025-03-26 15:18:15 | mislearn | 1 | 82945 | 3 | 4.126 | 20103.0 |
1317 | 2025-03-24 09:40:26 | mislearn | 3 | 146162 | 69 | 32.893 | 4443.6 |
1316 | 2025-03-23 06:19:02 | mislearn | 1 | 82945 | 3 | 4.606 | 18008.0 |
1315 | 2025-03-22 22:21:23 | mislearn | 1 | 82945 | 3 | 10.440 | 7944.9 |
1314 | 2025-03-19 17:44:05 | mislearn | 4 | 161609 | 635 | 14.096 | 11464.9 |
1313 | 2025-03-15 13:09:17 | mislearn | 4 | 161609 | 635 | 94.736 | 1705.9 |
1312 | 2025-03-15 12:25:17 | mislearn | 4 | 161609 | 635 | 56.996 | 2835.4 |
1311 | 2025-03-14 19:42:29 | mislearn | 4 | 161609 | 635 | 60.066 | 2690.5 |
1310 | 2025-03-13 03:10:08 | mislearn | 3 | 146162 | 69 | 26.360 | 5544.8 |
1309 | 2025-03-12 06:20:35 | mislearn | 3 | 146162 | 69 | 48.046 | 3042.1 |
1308 | 2025-03-09 14:49:19 | mislearn | 3 | 146162 | 69 | 50.690 | 2883.4 |
1307 | 2025-03-09 12:13:52 | mislearn | 3 | 146162 | 69 | 36.410 | 4014.3 |
1306 | 2025-03-09 12:13:50 | mislearn | 2 | 121059 | 11 | 24.423 | 4956.8 |
1305 | 2025-03-09 12:12:48 | mislearn | 1 | 82945 | 3 | 6.140 | 13509.0 |
1304 | 2025-03-09 06:48:52 | mislearn | 4 | 161609 | 635 | 57.440 | 2813.5 |
1303 | 2025-03-09 00:34:57 | mislearn | 4 | 161609 | 635 | 56.376 | 2866.6 |
1302 | 2025-03-08 09:25:46 | mislearn | 4 | 161609 | 635 | 81.006 | 1995.0 |
1301 | 2025-03-07 13:15:05 | mislearn | 4 | 161609 | 635 | 63.846 | 2531.2 |
1300 | 2025-03-06 22:15:47 | mislearn | 1 | 82945 | 3 | 7.093 | 11693.9 |
1299 | 2025-02-17 11:08:21 | mislearn | 1 | 82945 | 3 | 6.826 | 12151.3 |
1298 | 2025-02-17 11:07:04 | mislearn | 2 | 121059 | 11 | 17.110 | 7075.3 |
1297 | 2025-02-17 10:42:18 | mislearn | 2 | 121059 | 11 | 17.720 | 6831.8 |
1296 | 2025-02-17 10:42:05 | mislearn | 1 | 82945 | 3 | 5.626 | 14743.2 |
1295 | 2025-02-12 00:13:56 | mislearn | 4 | 161609 | 635 | 66.003 | 2448.5 |
1294 | 2025-02-11 03:29:07 | mislearn | 1 | 82945 | 3 | 4.780 | 17352.5 |
1293 | 2025-02-10 17:46:10 | mislearn | 4 | 161609 | 635 | 53.330 | 3030.4 |
1292 | 2025-02-09 02:10:25 | mislearn | 1 | 82945 | 3 | 4.890 | 16962.2 |
1291 | 2025-02-06 18:02:02 | mislearn | 3 | 146162 | 69 | 21.656 | 6749.3 |
1290 | 2025-02-06 18:01:59 | mislearn | 2 | 121059 | 11 | 18.096 | 6689.8 |
1289 | 2025-02-06 18:01:59 | mislearn | 1 | 82945 | 3 | 6.733 | 12319.2 |
1288 | 2025-02-06 18:01:19 | mislearn | 3 | 146162 | 69 | 20.563 | 7108.0 |
1287 | 2025-02-06 17:10:09 | mislearn | 3 | 146162 | 69 | 52.146 | 2802.9 |
1286 | 2025-02-05 20:12:55 | mislearn | 3 | 146162 | 69 | 8.126 | 17987.0 |
1285 | 2025-02-04 23:31:03 | mislearn | 3 | 146162 | 69 | 33.783 | 4326.5 |
1284 | 2025-02-04 23:31:11 | mislearn | 2 | 121059 | 11 | 16.670 | 7262.1 |
1283 | 2025-02-04 23:30:08 | mislearn | 1 | 82945 | 3 | 8.656 | 9582.4 |
1282 | 2025-01-12 11:35:20 | mislearn | 3 | 146162 | 69 | 56.393 | 2591.8 |
1281 | 2025-01-08 04:37:51 | mislearn | 3 | 146162 | 69 | 36.300 | 4026.5 |
1280 | 2025-01-07 08:33:42 | mislearn | 2 | 121059 | 11 | 18.753 | 6455.4 |