History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"aver"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1339 | 2025-10-24 14:27:10 | aver | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1338 | 2025-10-22 09:15:44 | aver | 1 | 13983 | 17 | 1.673 | 8358.0 |
| 1337 | 2025-10-22 05:08:51 | aver | 1 | 13983 | 17 | 0.903 | 15485.0 |
| 1336 | 2025-10-20 03:31:15 | aver | 1 | 13983 | 17 | 0.436 | 32071.1 |
| 1335 | 2025-10-03 12:07:00 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1334 | 2025-10-02 19:47:33 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1333 | 2025-09-28 20:20:56 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1332 | 2025-09-17 02:31:50 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1331 | 2025-09-16 04:14:10 | aver | 1 | 13983 | 17 | 0.360 | 38841.7 |
| 1330 | 2025-09-15 14:28:28 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1329 | 2025-09-14 13:29:31 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1328 | 2025-09-13 03:29:27 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1327 | 2025-09-11 19:20:57 | aver | 1 | 13983 | 17 | 0.546 | 25609.9 |
| 1326 | 2025-09-08 23:48:37 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1325 | 2025-09-06 20:48:12 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1324 | 2025-09-06 01:54:17 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1323 | 2025-09-06 01:38:55 | aver | 2 | 29872 | 330 | 0.796 | 37527.6 |
| 1322 | 2025-09-04 16:20:54 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1321 | 2025-09-02 13:18:10 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1320 | 2025-09-02 02:59:58 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1319 | 2025-09-01 03:08:49 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1318 | 2025-08-31 16:58:47 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1317 | 2025-08-30 05:37:03 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1316 | 2025-08-28 08:40:03 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1315 | 2025-08-23 21:55:27 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1314 | 2025-08-22 05:39:06 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1313 | 2025-08-19 03:39:34 | aver | 2 | 29872 | 330 | 1.546 | 19322.1 |
| 1312 | 2025-08-19 00:40:16 | aver | 1 | 13983 | 17 | 0.626 | 22337.1 |
| 1311 | 2025-08-18 04:48:53 | aver | 2 | 29872 | 330 | 0.893 | 33451.3 |
| 1310 | 2025-08-18 04:20:24 | aver | 2 | 29872 | 330 | 0.763 | 39150.7 |
| 1309 | 2025-08-16 22:38:16 | aver | 2 | 29872 | 330 | 4.390 | 6804.6 |
| 1308 | 2025-08-16 13:51:39 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1307 | 2025-08-13 04:13:31 | aver | 1 | 13983 | 17 | 0.533 | 26234.5 |
| 1306 | 2025-08-09 00:50:08 | aver | 1 | 13983 | 17 | 1.736 | 8054.7 |
| 1305 | 2025-08-01 05:35:00 | aver | 1 | 13983 | 17 | 1.033 | 13536.3 |
| 1304 | 2025-08-01 01:48:48 | aver | 1 | 13983 | 17 | 0.563 | 24836.6 |
| 1303 | 2025-07-31 14:15:48 | aver | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1302 | 2025-07-27 06:05:17 | aver | 1 | 13983 | 17 | 0.796 | 17566.6 |
| 1301 | 2025-07-26 21:31:10 | aver | 1 | 13983 | 17 | 0.936 | 14939.1 |
| 1300 | 2025-07-19 17:21:40 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1299 | 2025-07-18 02:58:30 | aver | 1 | 13983 | 17 | 0.826 | 16928.6 |
| 1298 | 2025-07-17 12:51:21 | aver | 1 | 13983 | 17 | 0.483 | 28950.3 |
| 1297 | 2025-07-08 12:16:17 | aver | 2 | 29872 | 330 | 4.330 | 6898.8 |
| 1296 | 2025-07-06 23:30:06 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1295 | 2025-06-30 01:11:27 | aver | 1 | 13983 | 17 | 1.123 | 12451.5 |
| 1294 | 2025-06-29 00:44:07 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1293 | 2025-06-28 12:46:59 | aver | 1 | 13983 | 17 | 1.670 | 8373.1 |
| 1292 | 2025-06-26 10:52:35 | aver | 1 | 13983 | 17 | 1.390 | 10059.7 |
| 1291 | 2025-06-22 14:07:49 | aver | 2 | 29872 | 330 | 6.233 | 4792.6 |
| 1290 | 2025-06-21 10:47:34 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1289 | 2025-06-21 03:14:23 | aver | 2 | 29872 | 330 | 3.953 | 7556.8 |
| 1288 | 2025-06-20 23:31:31 | aver | 2 | 29872 | 330 | 5.596 | 5338.1 |
| 1287 | 2025-06-20 03:59:16 | aver | 2 | 29872 | 330 | 4.063 | 7352.2 |
| 1286 | 2025-06-16 07:09:22 | aver | 1 | 13983 | 17 | 1.450 | 9643.4 |
| 1285 | 2025-06-15 08:51:39 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1284 | 2025-06-13 10:02:17 | aver | 1 | 13983 | 17 | 0.720 | 19420.8 |
| 1283 | 2025-06-12 14:25:55 | aver | 1 | 13983 | 17 | 1.266 | 11045.0 |
| 1282 | 2025-06-10 14:00:15 | aver | 1 | 13983 | 17 | 1.843 | 7587.1 |
| 1281 | 2025-06-08 11:12:08 | aver | 2 | 29872 | 330 | 5.066 | 5896.6 |
| 1280 | 2025-06-07 05:16:56 | aver | 1 | 13983 | 17 | 1.060 | 13191.5 |
| 1279 | 2025-06-06 22:54:03 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1278 | 2025-06-06 17:27:59 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1277 | 2025-06-04 05:08:38 | aver | 2 | 29872 | 330 | 3.080 | 9698.7 |
| 1276 | 2025-06-03 13:37:10 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1275 | 2025-06-01 14:11:11 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1274 | 2025-05-30 22:45:50 | aver | 1 | 13983 | 17 | 0.920 | 15198.9 |
| 1273 | 2025-05-29 12:10:02 | aver | 1 | 13983 | 17 | 1.393 | 10038.0 |
| 1272 | 2025-05-29 05:58:58 | aver | 1 | 13983 | 17 | 1.890 | 7398.4 |
| 1271 | 2025-05-28 09:38:53 | aver | 2 | 29872 | 330 | 0.920 | 32469.6 |
| 1270 | 2025-05-28 02:51:13 | aver | 1 | 13983 | 17 | 1.390 | 10059.7 |
| 1269 | 2025-05-28 00:42:54 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1268 | 2025-05-26 00:02:07 | aver | 1 | 13983 | 17 | 0.983 | 14224.8 |
| 1267 | 2025-05-20 09:34:26 | aver | 2 | 29872 | 330 | 5.830 | 5123.8 |
| 1266 | 2025-05-20 02:38:01 | aver | 1 | 13983 | 17 | 0.686 | 20383.4 |
| 1265 | 2025-05-19 23:16:28 | aver | 2 | 29872 | 330 | 2.126 | 14050.8 |
| 1264 | 2025-05-19 00:22:06 | aver | 1 | 13983 | 17 | 1.046 | 13368.1 |
| 1263 | 2025-05-18 17:19:56 | aver | 2 | 29872 | 330 | 3.140 | 9513.4 |
| 1262 | 2025-05-18 01:29:53 | aver | 1 | 13983 | 17 | 1.283 | 10898.7 |
| 1261 | 2025-05-17 03:38:45 | aver | 1 | 13983 | 17 | 1.233 | 11340.6 |
| 1260 | 2025-05-13 05:43:49 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1259 | 2025-05-12 14:25:40 | aver | 2 | 29872 | 330 | 7.233 | 4130.0 |
| 1258 | 2025-05-11 09:04:13 | aver | 2 | 29872 | 330 | 1.920 | 15558.3 |
| 1257 | 2025-05-10 17:19:50 | aver | 1 | 13983 | 17 | 0.296 | 47239.9 |
| 1256 | 2025-05-09 09:55:07 | aver | 1 | 13983 | 17 | 1.576 | 8872.5 |
| 1255 | 2025-05-08 10:59:18 | aver | 2 | 29872 | 330 | 3.860 | 7738.9 |
| 1254 | 2025-05-07 00:19:02 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1253 | 2025-05-05 08:36:24 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1252 | 2025-05-05 02:06:03 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1251 | 2025-05-01 12:37:54 | aver | 1 | 13983 | 17 | 0.690 | 20265.2 |
| 1250 | 2025-04-30 00:28:43 | aver | 1 | 13983 | 17 | 0.610 | 22923.0 |
| 1249 | 2025-04-29 21:30:58 | aver | 1 | 13983 | 17 | 1.783 | 7842.4 |
| 1248 | 2025-04-29 17:27:53 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1247 | 2025-04-27 19:07:50 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1246 | 2025-04-27 19:06:39 | aver | 1 | 13983 | 17 | 0.516 | 27098.8 |
| 1245 | 2025-04-27 18:53:21 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1244 | 2025-04-27 11:50:55 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1243 | 2025-04-20 03:43:15 | aver | 2 | 29872 | 330 | 2.716 | 10998.5 |
| 1242 | 2025-04-19 22:17:42 | aver | 2 | 29872 | 330 | 3.296 | 9063.1 |
| 1241 | 2025-04-19 18:48:57 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1240 | 2025-04-19 12:07:27 | aver | 2 | 29872 | 330 | 0.890 | 33564.0 |