History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"loss"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1263 | 2025-09-13 17:37:18 | loss | 1 | 13983 | 24 | 0.263 | 53167.3 |
1262 | 2025-09-11 19:07:59 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1261 | 2025-09-08 11:59:23 | loss | 1 | 13983 | 24 | 0.233 | 60012.9 |
1260 | 2025-09-07 06:21:49 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1259 | 2025-09-06 10:25:47 | loss | 1 | 13983 | 24 | 0.216 | 64736.1 |
1258 | 2025-09-05 04:46:29 | loss | 1 | 13983 | 24 | 0.220 | 63559.1 |
1257 | 2025-09-01 21:47:10 | loss | 1 | 13983 | 24 | 0.280 | 49939.3 |
1256 | 2025-08-31 07:35:19 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1255 | 2025-08-31 02:07:34 | loss | 2 | 29872 | 458 | 0.780 | 38297.4 |
1254 | 2025-08-30 14:05:08 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1253 | 2025-08-29 13:54:01 | loss | 1 | 13983 | 24 | 0.220 | 63559.1 |
1252 | 2025-08-27 10:41:47 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1251 | 2025-08-27 08:03:09 | loss | 2 | 29872 | 458 | 0.763 | 39150.7 |
1250 | 2025-08-26 18:12:51 | loss | 1 | 13983 | 24 | 0.220 | 63559.1 |
1249 | 2025-08-26 16:09:25 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1248 | 2025-08-26 07:17:38 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1247 | 2025-08-25 13:34:12 | loss | 1 | 13983 | 24 | 0.516 | 27098.8 |
1246 | 2025-08-24 03:15:53 | loss | 1 | 13983 | 24 | 1.216 | 11499.2 |
1245 | 2025-08-17 09:02:40 | loss | 1 | 13983 | 24 | 0.953 | 14672.6 |
1244 | 2025-08-16 05:32:45 | loss | 1 | 13983 | 24 | 0.233 | 60012.9 |
1243 | 2025-08-11 19:12:03 | loss | 2 | 29872 | 458 | 2.140 | 13958.9 |
1242 | 2025-08-09 18:29:48 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1241 | 2025-08-03 16:44:02 | loss | 2 | 29872 | 458 | 1.813 | 16476.6 |
1240 | 2025-08-01 09:56:43 | loss | 1 | 13983 | 24 | 0.670 | 20870.1 |
1239 | 2025-07-28 15:34:40 | loss | 2 | 29872 | 458 | 3.486 | 8569.1 |
1238 | 2025-07-28 15:34:42 | loss | 2 | 29872 | 458 | 2.170 | 13765.9 |
1237 | 2025-07-28 07:13:50 | loss | 2 | 29872 | 458 | 1.966 | 15194.3 |
1236 | 2025-07-27 16:40:54 | loss | 2 | 29872 | 458 | 3.250 | 9191.4 |
1235 | 2025-07-27 16:40:55 | loss | 2 | 29872 | 458 | 2.000 | 14936.0 |
1234 | 2025-07-27 13:48:58 | loss | 1 | 13983 | 24 | 0.686 | 20383.4 |
1233 | 2025-07-27 13:28:38 | loss | 1 | 13983 | 24 | 0.953 | 14672.6 |
1232 | 2025-07-26 19:58:51 | loss | 1 | 13983 | 24 | 0.780 | 17926.9 |
1231 | 2025-07-25 12:25:59 | loss | 2 | 29872 | 458 | 2.190 | 13640.2 |
1230 | 2025-07-24 18:22:33 | loss | 1 | 13983 | 24 | 0.280 | 49939.3 |
1229 | 2025-07-22 16:37:25 | loss | 1 | 13983 | 24 | 1.093 | 12793.2 |
1228 | 2025-07-22 11:10:36 | loss | 1 | 13983 | 24 | 1.140 | 12265.8 |
1227 | 2025-07-20 09:54:20 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1226 | 2025-07-17 14:47:10 | loss | 1 | 13983 | 24 | 1.190 | 11750.4 |
1225 | 2025-07-13 18:04:28 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1224 | 2025-07-07 16:59:05 | loss | 1 | 13983 | 24 | 1.360 | 10281.6 |
1223 | 2025-07-03 17:52:48 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1222 | 2025-06-27 13:04:38 | loss | 1 | 13983 | 24 | 0.673 | 20777.1 |
1221 | 2025-06-20 11:08:54 | loss | 2 | 29872 | 458 | 4.500 | 6638.2 |
1220 | 2025-06-18 08:23:15 | loss | 2 | 29872 | 458 | 7.706 | 3876.5 |
1219 | 2025-06-18 06:29:31 | loss | 1 | 13983 | 24 | 0.486 | 28771.6 |
1218 | 2025-06-17 05:16:03 | loss | 2 | 29872 | 458 | 2.250 | 13276.4 |
1217 | 2025-06-15 19:24:01 | loss | 2 | 29872 | 458 | 0.953 | 31345.2 |
1216 | 2025-06-15 12:57:39 | loss | 1 | 13983 | 24 | 0.280 | 49939.3 |
1215 | 2025-06-14 10:25:18 | loss | 1 | 13983 | 24 | 0.673 | 20777.1 |
1214 | 2025-06-13 15:00:55 | loss | 1 | 13983 | 24 | 0.953 | 14672.6 |
1213 | 2025-06-06 16:12:04 | loss | 1 | 13983 | 24 | 0.703 | 19890.5 |
1212 | 2025-05-31 07:14:20 | loss | 1 | 13983 | 24 | 1.126 | 12418.3 |
1211 | 2025-05-29 18:37:17 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1210 | 2025-05-28 11:09:14 | loss | 1 | 13983 | 24 | 0.233 | 60012.9 |
1209 | 2025-05-27 17:15:22 | loss | 1 | 13983 | 24 | 2.123 | 6586.4 |
1208 | 2025-05-27 13:39:22 | loss | 1 | 13983 | 24 | 0.733 | 19076.4 |
1207 | 2025-05-27 00:07:25 | loss | 2 | 29872 | 458 | 2.280 | 13101.8 |
1206 | 2025-05-26 20:21:11 | loss | 1 | 13983 | 24 | 0.280 | 49939.3 |
1205 | 2025-05-20 18:29:03 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1204 | 2025-05-15 12:48:59 | loss | 1 | 13983 | 24 | 0.283 | 49409.9 |
1203 | 2025-05-13 19:32:48 | loss | 2 | 29872 | 458 | 4.440 | 6727.9 |
1202 | 2025-05-13 11:48:36 | loss | 2 | 29872 | 458 | 6.876 | 4344.4 |
1201 | 2025-05-08 06:25:57 | loss | 1 | 13983 | 24 | 1.280 | 10924.2 |
1200 | 2025-05-05 16:53:00 | loss | 1 | 13983 | 24 | 0.263 | 53167.3 |
1199 | 2025-05-05 07:41:04 | loss | 1 | 13983 | 24 | 1.186 | 11790.1 |
1198 | 2025-05-01 12:56:43 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1197 | 2025-04-30 07:12:09 | loss | 1 | 13983 | 24 | 1.830 | 7641.0 |
1196 | 2025-04-28 11:36:16 | loss | 1 | 13983 | 24 | 1.343 | 10411.8 |
1195 | 2025-04-27 06:45:32 | loss | 1 | 13983 | 24 | 0.266 | 52567.7 |
1194 | 2025-04-19 08:12:11 | loss | 1 | 13983 | 24 | 0.220 | 63559.1 |
1193 | 2025-04-18 08:22:38 | loss | 2 | 29872 | 458 | 4.190 | 7129.4 |
1192 | 2025-04-17 06:02:02 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1191 | 2025-04-14 13:03:14 | loss | 1 | 13983 | 24 | 0.970 | 14415.5 |
1190 | 2025-04-14 09:55:10 | loss | 1 | 13983 | 24 | 0.530 | 26383.0 |
1189 | 2025-04-12 09:36:03 | loss | 1 | 13983 | 24 | 2.063 | 6778.0 |
1188 | 2025-04-11 21:33:45 | loss | 1 | 13983 | 24 | 1.736 | 8054.7 |
1187 | 2025-04-06 15:24:08 | loss | 1 | 13983 | 24 | 1.313 | 10649.7 |
1186 | 2025-03-30 17:26:25 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1185 | 2025-03-30 16:40:33 | loss | 1 | 13983 | 24 | 0.903 | 15485.0 |
1184 | 2025-03-29 08:22:34 | loss | 1 | 13983 | 24 | 1.266 | 11045.0 |
1183 | 2025-03-28 12:09:56 | loss | 1 | 13983 | 24 | 0.483 | 28950.3 |
1182 | 2025-03-25 16:01:02 | loss | 1 | 13983 | 24 | 1.220 | 11461.5 |
1181 | 2025-03-21 10:00:08 | loss | 2 | 29872 | 458 | 6.440 | 4638.5 |
1180 | 2025-03-19 20:33:33 | loss | 2 | 29872 | 458 | 1.843 | 16208.4 |
1179 | 2025-03-18 00:00:25 | loss | 2 | 29872 | 458 | 3.046 | 9807.0 |
1178 | 2025-03-17 23:58:58 | loss | 1 | 13983 | 24 | 0.626 | 22337.1 |
1177 | 2025-03-14 22:29:46 | loss | 1 | 13983 | 24 | 0.936 | 14939.1 |
1176 | 2025-03-14 09:36:44 | loss | 1 | 13983 | 24 | 1.013 | 13803.6 |
1175 | 2025-03-12 21:22:27 | loss | 1 | 13983 | 24 | 1.186 | 11790.1 |
1174 | 2025-03-07 08:47:47 | loss | 2 | 29872 | 458 | 5.093 | 5865.3 |
1173 | 2025-03-07 08:44:57 | loss | 1 | 13983 | 24 | 1.360 | 10281.6 |
1172 | 2025-03-06 18:51:54 | loss | 1 | 13983 | 24 | 0.953 | 14672.6 |
1171 | 2025-03-05 07:38:36 | loss | 2 | 29872 | 458 | 4.326 | 6905.2 |
1170 | 2025-02-25 05:47:21 | loss | 2 | 29872 | 458 | 2.080 | 14361.5 |
1169 | 2025-02-25 05:26:35 | loss | 1 | 13983 | 24 | 0.250 | 55932.0 |
1168 | 2025-02-23 03:43:03 | loss | 1 | 13983 | 24 | 0.690 | 20265.2 |
1167 | 2025-02-22 19:47:20 | loss | 2 | 29872 | 458 | 6.390 | 4674.8 |
1166 | 2025-02-18 09:05:49 | loss | 1 | 13983 | 24 | 1.360 | 10281.6 |
1165 | 2025-02-16 04:03:32 | loss | 1 | 13983 | 24 | 1.986 | 7040.8 |
1164 | 2025-02-15 22:12:13 | loss | 1 | 13983 | 24 | 1.343 | 10411.8 |