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 |
1250 | 2024-05-05 15:48:58 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1249 | 2024-04-30 07:09:19 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1248 | 2024-04-27 04:55:28 | prod | 2 | 29872 | 203 | 3.030 | 9858.7 |
1247 | 2024-04-26 22:39:41 | prod | 1 | 13983 | 16 | 0.780 | 17926.9 |
1246 | 2024-04-20 17:41:11 | prod | 1 | 13983 | 16 | 0.673 | 20777.1 |
1245 | 2024-04-11 13:19:26 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1244 | 2024-04-01 18:10:53 | prod | 2 | 29872 | 203 | 2.500 | 11948.8 |
1243 | 2024-04-01 15:57:30 | prod | 1 | 13983 | 16 | 0.813 | 17199.3 |
1242 | 2024-03-30 23:31:39 | prod | 2 | 29872 | 203 | 1.000 | 29872.0 |
1241 | 2024-03-30 23:21:13 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
1240 | 2024-03-28 17:40:43 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1239 | 2024-03-27 22:20:03 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1238 | 2024-03-27 22:19:55 | prod | 2 | 29872 | 203 | 0.876 | 34100.5 |
1237 | 2024-03-27 22:19:50 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1236 | 2024-03-07 21:56:00 | prod | 1 | 13983 | 16 | 0.516 | 27098.8 |
1235 | 2024-03-02 14:27:29 | prod | 2 | 29872 | 203 | 0.986 | 30296.1 |
1234 | 2024-03-02 13:49:53 | prod | 1 | 13983 | 16 | 0.253 | 55268.8 |
1233 | 2024-02-26 22:44:15 | prod | 2 | 29872 | 203 | 0.936 | 31914.5 |
1232 | 2024-02-26 19:36:14 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1231 | 2024-02-22 11:07:32 | prod | 2 | 29872 | 203 | 2.000 | 14936.0 |
1230 | 2024-02-21 16:21:29 | prod | 1 | 13983 | 16 | 0.546 | 25609.9 |
1229 | 2024-01-27 19:01:17 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1228 | 2024-01-03 18:04:27 | prod | 2 | 29872 | 203 | 0.830 | 35990.4 |
1227 | 2024-01-03 05:04:07 | prod | 2 | 29872 | 203 | 0.873 | 34217.6 |
1226 | 2023-12-29 14:19:44 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1225 | 2023-12-17 11:52:32 | prod | 2 | 29872 | 203 | 0.733 | 40753.1 |
1224 | 2023-12-14 07:25:07 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1223 | 2023-12-07 20:51:10 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
1222 | 2023-12-07 20:51:09 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1221 | 2023-12-01 12:55:14 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1220 | 2023-11-18 04:40:11 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1219 | 2023-11-14 11:24:23 | prod | 2 | 29872 | 203 | 0.733 | 40753.1 |
1218 | 2023-11-11 21:48:30 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1217 | 2023-11-10 15:58:57 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1216 | 2023-11-07 08:18:33 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1215 | 2023-11-03 12:54:43 | prod | 1 | 13983 | 16 | 0.423 | 33056.7 |
1214 | 2023-10-21 09:52:28 | prod | 1 | 13983 | 16 | 0.780 | 17926.9 |
1213 | 2023-10-20 04:35:05 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1212 | 2023-10-18 07:29:02 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1211 | 2023-10-18 07:08:39 | prod | 1 | 13983 | 16 | 0.326 | 42892.6 |
1210 | 2023-10-14 13:28:29 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1209 | 2023-10-13 00:41:45 | prod | 2 | 29872 | 203 | 0.750 | 39829.3 |
1208 | 2023-10-09 16:09:06 | prod | 2 | 29872 | 203 | 0.843 | 35435.3 |
1207 | 2023-10-07 15:50:12 | prod | 2 | 29872 | 203 | 0.750 | 39829.3 |
1206 | 2023-10-03 23:15:17 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1205 | 2023-09-28 22:53:46 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1204 | 2023-09-25 14:24:32 | prod | 2 | 29872 | 203 | 0.733 | 40753.1 |
1203 | 2023-09-17 17:58:04 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1202 | 2023-09-11 06:29:23 | prod | 1 | 13983 | 16 | 0.500 | 27966.0 |
1201 | 2023-08-15 17:37:54 | prod | 1 | 13983 | 16 | 0.200 | 69915.0 |
1200 | 2023-08-13 18:19:33 | prod | 2 | 29872 | 203 | 0.733 | 40753.1 |
1199 | 2023-08-01 09:42:34 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
1198 | 2023-07-18 04:03:49 | prod | 2 | 29872 | 203 | 0.796 | 37527.6 |
1197 | 2023-05-17 17:13:42 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1196 | 2023-04-09 09:37:01 | prod | 1 | 13983 | 16 | 0.486 | 28771.6 |
1195 | 2023-04-04 14:08:11 | prod | 2 | 29872 | 203 | 0.716 | 41720.7 |
1194 | 2023-03-25 00:31:23 | prod | 2 | 29872 | 203 | 0.813 | 36742.9 |
1193 | 2023-03-10 19:04:37 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1192 | 2023-02-05 17:18:27 | prod | 2 | 29872 | 203 | 0.720 | 41488.9 |
1191 | 2023-01-22 07:00:54 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1190 | 2023-01-04 22:46:54 | prod | 2 | 29872 | 203 | 0.860 | 34734.9 |
1189 | 2023-01-03 12:50:13 | prod | 2 | 29872 | 203 | 0.716 | 41720.7 |
1188 | 2022-12-31 18:14:00 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1187 | 2022-12-20 09:04:55 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1186 | 2022-12-08 03:45:34 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1185 | 2022-11-28 00:21:56 | prod | 2 | 29872 | 203 | 0.736 | 40587.0 |
1184 | 2022-11-21 11:19:28 | prod | 2 | 29872 | 203 | 0.906 | 32971.3 |
1183 | 2022-11-21 09:48:43 | prod | 2 | 29872 | 203 | 0.796 | 37527.6 |
1182 | 2022-11-08 02:46:20 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1181 | 2022-10-13 15:28:07 | prod | 2 | 29872 | 203 | 0.860 | 34734.9 |
1180 | 2022-10-09 14:11:40 | prod | 2 | 29872 | 203 | 0.733 | 40753.1 |
1179 | 2022-09-22 05:30:24 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1178 | 2022-09-11 23:38:19 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1177 | 2022-09-10 01:29:01 | prod | 2 | 29872 | 203 | 0.736 | 40587.0 |
1176 | 2022-09-03 15:24:42 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1175 | 2022-08-26 00:49:15 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
1174 | 2022-08-20 06:05:43 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1173 | 2022-08-17 13:01:31 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1172 | 2022-08-09 06:20:16 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
1171 | 2022-08-06 17:32:02 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1170 | 2022-07-29 22:35:34 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1169 | 2022-07-29 13:53:42 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1168 | 2022-07-03 05:45:30 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1167 | 2022-06-25 16:16:10 | prod | 1 | 13983 | 16 | 0.206 | 67878.6 |
1166 | 2022-06-16 05:51:01 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1165 | 2022-06-08 21:43:25 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1164 | 2022-06-08 17:41:20 | prod | 1 | 13983 | 16 | 0.203 | 68881.8 |
1163 | 2022-06-01 20:03:52 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1162 | 2022-05-05 02:22:43 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
1161 | 2022-04-16 06:48:00 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
1160 | 2022-03-31 22:41:40 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
1159 | 2022-03-31 09:51:26 | prod | 2 | 29872 | 203 | 1.190 | 25102.5 |
1158 | 2022-03-01 11:50:32 | prod | 1 | 13983 | 16 | 0.296 | 47239.9 |
1157 | 2022-02-28 18:36:03 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
1156 | 2022-02-27 23:55:47 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
1155 | 2022-02-27 10:39:41 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
1154 | 2022-02-26 14:25:58 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
1153 | 2022-02-25 22:29:14 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
1152 | 2022-02-10 22:32:20 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
1151 | 2022-02-10 05:10:13 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |