History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mean"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1278 | 2025-04-15 02:50:53 | mean | 1 | 13983 | 17 | 1.266 | 11045.0 |
1277 | 2025-04-09 01:08:10 | mean | 1 | 13983 | 17 | 1.873 | 7465.6 |
1276 | 2025-04-06 16:32:02 | mean | 1 | 13983 | 17 | 1.156 | 12096.0 |
1275 | 2025-04-05 06:04:27 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1274 | 2025-04-01 19:30:30 | mean | 1 | 13983 | 17 | 1.816 | 7699.9 |
1273 | 2025-03-29 23:24:41 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
1272 | 2025-03-29 11:31:38 | mean | 1 | 13983 | 17 | 1.326 | 10545.2 |
1271 | 2025-03-24 12:03:04 | mean | 1 | 13983 | 17 | 1.013 | 13803.6 |
1270 | 2025-03-23 20:32:57 | mean | 1 | 13983 | 17 | 0.813 | 17199.3 |
1269 | 2025-03-14 21:04:46 | mean | 1 | 13983 | 17 | 0.846 | 16528.4 |
1268 | 2025-03-07 02:29:32 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 |
1267 | 2025-02-26 02:57:22 | mean | 2 | 29872 | 289 | 3.970 | 7524.4 |
1266 | 2025-02-25 23:47:59 | mean | 2 | 29872 | 289 | 3.920 | 7620.4 |
1265 | 2025-02-25 23:22:04 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1264 | 2025-02-24 12:39:43 | mean | 1 | 13983 | 17 | 1.016 | 13762.8 |
1263 | 2025-02-23 18:30:58 | mean | 1 | 13983 | 17 | 1.560 | 8963.5 |
1262 | 2025-02-05 22:41:55 | mean | 2 | 29872 | 289 | 3.220 | 9277.0 |
1261 | 2025-02-05 02:11:48 | mean | 1 | 13983 | 17 | 0.920 | 15198.9 |
1260 | 2025-01-26 13:00:02 | mean | 2 | 29872 | 289 | 2.873 | 10397.5 |
1259 | 2025-01-26 12:23:50 | mean | 2 | 29872 | 289 | 3.313 | 9016.6 |
1258 | 2025-01-26 11:32:07 | mean | 1 | 13983 | 17 | 0.360 | 38841.7 |
1257 | 2025-01-25 08:46:05 | mean | 1 | 13983 | 17 | 0.983 | 14224.8 |
1256 | 2025-01-06 14:44:19 | mean | 2 | 29872 | 289 | 4.690 | 6369.3 |
1255 | 2025-01-05 19:20:30 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1254 | 2024-12-28 00:51:15 | mean | 2 | 29872 | 289 | 4.940 | 6047.0 |
1253 | 2024-12-27 10:04:20 | mean | 2 | 29872 | 289 | 2.250 | 13276.4 |
1252 | 2024-12-27 07:33:46 | mean | 2 | 29872 | 289 | 3.760 | 7944.7 |
1251 | 2024-12-27 07:24:20 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1250 | 2024-12-26 07:26:03 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1249 | 2024-12-25 16:19:45 | mean | 1 | 13983 | 17 | 1.110 | 12597.3 |
1248 | 2024-12-21 20:07:45 | mean | 1 | 13983 | 17 | 2.000 | 6991.5 |
1247 | 2024-12-06 17:14:39 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1246 | 2024-11-27 06:16:20 | mean | 2 | 29872 | 289 | 3.936 | 7589.4 |
1245 | 2024-11-27 04:07:00 | mean | 2 | 29872 | 289 | 4.860 | 6146.5 |
1244 | 2024-11-27 03:08:22 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1243 | 2024-11-26 07:12:54 | mean | 1 | 13983 | 17 | 0.783 | 17858.2 |
1242 | 2024-11-25 15:44:50 | mean | 1 | 13983 | 17 | 0.640 | 21848.4 |
1241 | 2024-11-16 21:29:06 | mean | 1 | 13983 | 17 | 1.283 | 10898.7 |
1240 | 2024-11-07 08:28:46 | mean | 2 | 29872 | 289 | 8.453 | 3533.9 |
1239 | 2024-11-06 10:49:16 | mean | 1 | 13983 | 17 | 1.483 | 9428.9 |
1238 | 2024-10-27 22:51:16 | mean | 2 | 29872 | 289 | 6.673 | 4476.5 |
1237 | 2024-10-27 20:34:23 | mean | 2 | 29872 | 289 | 6.576 | 4542.6 |
1236 | 2024-10-27 20:04:10 | mean | 1 | 13983 | 17 | 1.360 | 10281.6 |
1235 | 2024-10-27 07:53:25 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1234 | 2024-10-26 11:47:18 | mean | 1 | 13983 | 17 | 1.343 | 10411.8 |
1233 | 2024-10-25 22:40:22 | mean | 1 | 13983 | 17 | 0.953 | 14672.6 |
1232 | 2024-10-23 08:40:31 | mean | 1 | 13983 | 17 | 0.783 | 17858.2 |
1231 | 2024-10-07 20:58:57 | mean | 2 | 29872 | 289 | 9.983 | 2992.3 |
1230 | 2024-10-07 11:19:11 | mean | 1 | 13983 | 17 | 1.813 | 7712.6 |
1229 | 2024-09-27 18:58:07 | mean | 2 | 29872 | 289 | 3.236 | 9231.1 |
1228 | 2024-09-27 16:54:27 | mean | 2 | 29872 | 289 | 8.220 | 3634.1 |
1227 | 2024-09-27 16:08:47 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
1226 | 2024-09-27 03:47:34 | mean | 1 | 13983 | 17 | 1.890 | 7398.4 |
1225 | 2024-09-26 05:57:33 | mean | 1 | 13983 | 17 | 2.436 | 5740.1 |
1224 | 2024-09-07 12:48:16 | mean | 2 | 29872 | 289 | 9.500 | 3144.4 |
1223 | 2024-09-07 00:34:29 | mean | 1 | 13983 | 17 | 2.593 | 5392.6 |
1222 | 2024-09-06 15:56:51 | mean | 1 | 13983 | 17 | 0.530 | 26383.0 |
1221 | 2024-08-31 19:17:39 | mean | 1 | 13983 | 17 | 1.216 | 11499.2 |
1220 | 2024-08-30 02:42:30 | mean | 1 | 13983 | 17 | 2.266 | 6170.8 |
1219 | 2024-08-28 11:59:15 | mean | 2 | 29872 | 289 | 6.750 | 4425.5 |
1218 | 2024-08-28 10:39:01 | mean | 2 | 29872 | 289 | 3.233 | 9239.7 |
1217 | 2024-08-28 08:36:47 | mean | 2 | 29872 | 289 | 7.686 | 3886.5 |
1216 | 2024-08-28 08:28:51 | mean | 1 | 13983 | 17 | 1.326 | 10545.2 |
1215 | 2024-08-28 08:03:49 | mean | 1 | 13983 | 17 | 1.873 | 7465.6 |
1214 | 2024-08-28 03:33:51 | mean | 1 | 13983 | 17 | 2.796 | 5001.1 |
1213 | 2024-08-26 17:22:38 | mean | 1 | 13983 | 17 | 0.860 | 16259.3 |
1212 | 2024-08-14 03:35:40 | mean | 1 | 13983 | 17 | 0.796 | 17566.6 |
1211 | 2024-08-07 21:13:33 | mean | 1 | 13983 | 17 | 1.250 | 11186.4 |
1210 | 2024-08-02 06:03:53 | mean | 2 | 29872 | 289 | 5.093 | 5865.3 |
1209 | 2024-08-02 05:28:29 | mean | 1 | 13983 | 17 | 1.110 | 12597.3 |
1208 | 2024-07-29 10:44:28 | mean | 2 | 29872 | 289 | 2.453 | 12177.7 |
1207 | 2024-07-29 06:39:37 | mean | 2 | 29872 | 289 | 4.046 | 7383.1 |
1206 | 2024-07-29 06:16:19 | mean | 1 | 13983 | 17 | 0.500 | 27966.0 |
1205 | 2024-07-28 22:53:41 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1204 | 2024-07-27 14:37:01 | mean | 1 | 13983 | 17 | 1.376 | 10162.1 |
1203 | 2024-07-06 20:20:16 | mean | 1 | 13983 | 17 | 0.296 | 47239.9 |
1202 | 2024-07-05 13:13:00 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 |
1201 | 2024-07-05 13:01:40 | mean | 1 | 13983 | 17 | 0.950 | 14718.9 |
1200 | 2024-07-03 04:57:02 | mean | 1 | 13983 | 17 | 1.203 | 11623.4 |
1199 | 2024-06-29 14:31:33 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 |
1198 | 2024-06-29 06:24:09 | mean | 1 | 13983 | 17 | 1.596 | 8761.3 |
1197 | 2024-06-28 23:24:58 | mean | 1 | 13983 | 17 | 1.376 | 10162.1 |
1196 | 2024-06-28 21:54:28 | mean | 1 | 13983 | 17 | 0.310 | 45106.5 |
1195 | 2024-06-27 08:23:29 | mean | 1 | 13983 | 17 | 1.296 | 10789.4 |
1194 | 2024-06-10 02:26:33 | mean | 1 | 13983 | 17 | 0.983 | 14224.8 |
1193 | 2024-06-04 02:14:07 | mean | 2 | 29872 | 289 | 3.373 | 8856.2 |
1192 | 2024-06-04 00:36:39 | mean | 2 | 29872 | 289 | 3.970 | 7524.4 |
1191 | 2024-06-03 21:55:08 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1190 | 2024-05-30 17:03:04 | mean | 1 | 13983 | 17 | 0.500 | 27966.0 |
1189 | 2024-05-29 19:35:53 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1188 | 2024-05-29 03:10:51 | mean | 1 | 13983 | 17 | 1.560 | 8963.5 |
1187 | 2024-05-24 12:41:05 | mean | 1 | 13983 | 17 | 0.546 | 25609.9 |
1186 | 2024-05-22 12:47:08 | mean | 1 | 13983 | 17 | 0.546 | 25609.9 |
1185 | 2024-05-22 12:46:35 | mean | 2 | 29872 | 289 | 1.063 | 28101.6 |
1184 | 2024-05-21 05:54:13 | mean | 2 | 29872 | 289 | 1.156 | 25840.8 |
1183 | 2024-05-14 16:46:11 | mean | 1 | 13983 | 17 | 0.533 | 26234.5 |
1182 | 2024-05-11 17:04:18 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1181 | 2024-05-06 21:21:09 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1180 | 2024-05-04 21:13:20 | mean | 2 | 29872 | 289 | 1.063 | 28101.6 |
1179 | 2024-05-04 20:52:38 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |