History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"actuary"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1277 | 2024-05-06 02:48:33 | actuary | 2 | 107671 | 7 | 10.080 | 10681.6 |
1276 | 2024-05-06 02:45:09 | actuary | 3 | 134027 | 86 | 8.736 | 15341.9 |
1275 | 2024-05-03 16:30:53 | actuary | 4 | 151207 | 967 | 12.470 | 12125.7 |
1274 | 2024-05-03 13:00:55 | actuary | 2 | 107671 | 7 | 3.626 | 29694.2 |
1273 | 2024-05-03 06:15:51 | actuary | 4 | 151207 | 967 | 19.016 | 7951.6 |
1272 | 2024-05-03 06:15:48 | actuary | 3 | 134027 | 86 | 8.500 | 15767.9 |
1271 | 2024-05-03 06:09:44 | actuary | 3 | 134027 | 86 | 7.436 | 18024.1 |
1270 | 2024-05-03 05:13:40 | actuary | 3 | 134027 | 86 | 21.313 | 6288.5 |
1269 | 2024-05-03 05:13:44 | actuary | 2 | 107671 | 7 | 9.516 | 11314.7 |
1268 | 2024-05-03 01:39:48 | actuary | 1 | 69583 | 1 | 1.560 | 44604.5 |
1267 | 2024-05-02 22:55:43 | actuary | 3 | 134027 | 86 | 24.266 | 5523.2 |
1266 | 2024-05-02 22:55:31 | actuary | 2 | 107671 | 7 | 7.356 | 14637.2 |
1265 | 2024-05-02 21:06:51 | actuary | 1 | 69583 | 1 | 1.060 | 65644.3 |
1264 | 2024-04-30 13:35:06 | actuary | 1 | 69583 | 1 | 3.110 | 22374.0 |
1263 | 2024-04-27 15:45:18 | actuary | 4 | 151207 | 967 | 16.860 | 8968.4 |
1262 | 2024-04-18 22:50:12 | actuary | 4 | 151207 | 967 | 11.266 | 13421.5 |
1261 | 2024-04-13 08:50:06 | actuary | 1 | 69583 | 1 | 1.060 | 65644.3 |
1260 | 2024-04-12 04:59:16 | actuary | 4 | 151207 | 967 | 26.923 | 5616.3 |
1259 | 2024-04-11 13:39:43 | actuary | 4 | 151207 | 967 | 20.550 | 7358.0 |
1258 | 2024-04-10 21:11:24 | actuary | 4 | 151207 | 967 | 26.093 | 5794.9 |
1257 | 2024-04-08 23:54:40 | actuary | 4 | 151207 | 967 | 20.126 | 7513.0 |
1256 | 2024-04-05 13:37:34 | actuary | 1 | 69583 | 1 | 1.810 | 38443.6 |
1255 | 2024-04-01 18:52:30 | actuary | 1 | 69583 | 1 | 2.830 | 24587.6 |
1254 | 2024-03-31 08:35:32 | actuary | 1 | 69583 | 1 | 3.393 | 20507.8 |
1253 | 2024-03-30 19:39:06 | actuary | 4 | 151207 | 967 | 26.080 | 5797.8 |
1252 | 2024-03-30 05:53:04 | actuary | 4 | 151207 | 967 | 34.580 | 4372.7 |
1251 | 2024-03-26 04:34:31 | actuary | 4 | 151207 | 967 | 42.910 | 3523.8 |
1250 | 2024-03-21 15:58:37 | actuary | 4 | 151207 | 967 | 21.800 | 6936.1 |
1249 | 2024-03-14 19:06:38 | actuary | 3 | 134027 | 86 | 8.313 | 16122.6 |
1248 | 2024-03-14 18:27:02 | actuary | 3 | 134027 | 86 | 10.110 | 13256.9 |
1247 | 2024-03-14 09:50:55 | actuary | 2 | 107671 | 7 | 3.860 | 27894.0 |
1246 | 2024-03-14 09:50:17 | actuary | 3 | 134027 | 86 | 6.780 | 19768.0 |
1245 | 2024-03-13 18:02:42 | actuary | 3 | 134027 | 86 | 18.970 | 7065.2 |
1244 | 2024-03-13 13:43:42 | actuary | 3 | 134027 | 86 | 23.453 | 5714.7 |
1243 | 2024-03-13 02:17:40 | actuary | 4 | 151207 | 967 | 17.690 | 8547.6 |
1242 | 2024-03-12 04:11:01 | actuary | 3 | 134027 | 86 | 7.313 | 18327.2 |
1241 | 2024-03-12 04:10:56 | actuary | 3 | 134027 | 86 | 12.143 | 11037.4 |
1240 | 2024-03-12 04:10:55 | actuary | 4 | 151207 | 967 | 12.080 | 12517.1 |
1239 | 2024-03-12 04:11:03 | actuary | 2 | 107671 | 7 | 3.610 | 29825.8 |
1238 | 2024-03-12 04:10:56 | actuary | 1 | 69583 | 1 | 1.376 | 50569.0 |
1237 | 2024-03-12 04:10:47 | actuary | 2 | 107671 | 7 | 3.330 | 32333.6 |
1236 | 2024-03-11 04:49:54 | actuary | 2 | 107671 | 7 | 3.563 | 30219.2 |
1235 | 2024-02-29 14:44:05 | actuary | 4 | 151207 | 967 | 12.516 | 12081.1 |
1234 | 2024-02-29 11:25:13 | actuary | 1 | 69583 | 1 | 1.296 | 53690.6 |
1233 | 2024-02-28 08:19:57 | actuary | 4 | 151207 | 967 | 30.783 | 4912.0 |
1232 | 2024-02-28 08:10:59 | actuary | 4 | 151207 | 967 | 23.813 | 6349.8 |
1231 | 2024-02-27 21:39:41 | actuary | 4 | 151207 | 967 | 17.280 | 8750.4 |
1230 | 2024-02-26 09:58:15 | actuary | 4 | 151207 | 967 | 18.343 | 8243.3 |
1229 | 2024-02-25 14:09:36 | actuary | 4 | 151207 | 967 | 11.593 | 13043.0 |
1228 | 2024-02-24 19:17:54 | actuary | 4 | 151207 | 967 | 12.500 | 12096.6 |
1227 | 2024-02-24 18:14:03 | actuary | 4 | 151207 | 967 | 9.920 | 15242.6 |
1226 | 2024-02-23 15:22:36 | actuary | 4 | 151207 | 967 | 27.203 | 5558.5 |
1225 | 2024-02-07 22:58:35 | actuary | 4 | 151207 | 967 | 26.736 | 5655.6 |
1224 | 2024-02-05 03:36:06 | actuary | 4 | 151207 | 967 | 12.843 | 11773.5 |
1223 | 2024-01-25 17:22:23 | actuary | 4 | 151207 | 967 | 10.876 | 13902.8 |
1222 | 2024-01-25 04:01:56 | actuary | 4 | 151207 | 967 | 11.486 | 13164.5 |
1221 | 2023-12-31 14:33:00 | actuary | 1 | 69583 | 1 | 1.110 | 62687.4 |
1220 | 2023-12-21 03:01:22 | actuary | 3 | 134027 | 86 | 6.233 | 21502.8 |
1219 | 2023-12-21 03:01:21 | actuary | 2 | 107671 | 7 | 3.173 | 33933.5 |
1218 | 2023-12-10 17:36:49 | actuary | 4 | 151207 | 967 | 10.233 | 14776.4 |
1217 | 2023-12-09 13:32:09 | actuary | 4 | 151207 | 967 | 11.563 | 13076.8 |
1216 | 2023-12-08 17:35:35 | actuary | 4 | 151207 | 967 | 11.236 | 13457.4 |
1215 | 2023-12-07 22:11:15 | actuary | 4 | 151207 | 967 | 11.206 | 13493.4 |
1214 | 2023-11-27 00:55:19 | actuary | 4 | 151207 | 967 | 11.080 | 13646.8 |
1213 | 2023-11-26 08:36:00 | actuary | 2 | 107671 | 7 | 2.813 | 38276.2 |
1212 | 2023-11-25 11:49:59 | actuary | 3 | 134027 | 86 | 5.813 | 23056.4 |
1211 | 2023-11-25 00:12:57 | actuary | 4 | 151207 | 967 | 11.390 | 13275.4 |
1210 | 2023-11-23 08:06:29 | actuary | 1 | 69583 | 1 | 1.076 | 64668.2 |
1209 | 2023-11-15 12:05:24 | actuary | 4 | 151207 | 967 | 11.420 | 13240.5 |
1208 | 2023-11-12 04:03:46 | actuary | 1 | 69583 | 1 | 1.343 | 51811.6 |
1207 | 2023-11-09 18:09:30 | actuary | 4 | 151207 | 967 | 11.203 | 13497.0 |
1206 | 2023-11-07 13:38:14 | actuary | 4 | 151207 | 967 | 12.190 | 12404.2 |
1205 | 2023-11-07 06:03:27 | actuary | 4 | 151207 | 967 | 13.156 | 11493.4 |
1204 | 2023-11-07 06:03:16 | actuary | 4 | 151207 | 967 | 12.483 | 12113.0 |
1203 | 2023-11-07 03:35:57 | actuary | 4 | 151207 | 967 | 11.110 | 13610.0 |
1202 | 2023-11-06 22:18:36 | actuary | 4 | 151207 | 967 | 12.783 | 11828.8 |
1201 | 2023-11-05 23:02:17 | actuary | 4 | 151207 | 967 | 9.940 | 15212.0 |
1200 | 2023-11-05 03:51:55 | actuary | 4 | 151207 | 967 | 14.640 | 10328.3 |
1199 | 2023-11-04 22:27:10 | actuary | 4 | 151207 | 967 | 10.016 | 15096.5 |
1198 | 2023-11-03 22:01:40 | actuary | 4 | 151207 | 967 | 9.673 | 15631.9 |
1197 | 2023-11-02 22:45:45 | actuary | 4 | 151207 | 967 | 12.170 | 12424.6 |
1196 | 2023-11-02 07:46:12 | actuary | 1 | 69583 | 1 | 1.313 | 52995.4 |
1195 | 2023-11-02 05:22:38 | actuary | 4 | 151207 | 967 | 15.876 | 9524.3 |
1194 | 2023-11-01 19:05:43 | actuary | 4 | 151207 | 967 | 12.500 | 12096.6 |
1193 | 2023-11-01 05:33:00 | actuary | 4 | 151207 | 967 | 10.440 | 14483.4 |
1192 | 2023-10-31 22:07:04 | actuary | 1 | 69583 | 1 | 1.143 | 60877.5 |
1191 | 2023-10-31 19:15:03 | actuary | 4 | 151207 | 967 | 13.923 | 10860.2 |
1190 | 2023-10-31 05:43:21 | actuary | 4 | 151207 | 967 | 16.140 | 9368.5 |
1189 | 2023-10-30 19:01:19 | actuary | 4 | 151207 | 967 | 21.046 | 7184.6 |
1188 | 2023-10-30 05:12:30 | actuary | 4 | 151207 | 967 | 10.080 | 15000.7 |
1187 | 2023-10-29 05:15:48 | actuary | 4 | 151207 | 967 | 12.596 | 12004.4 |
1186 | 2023-10-28 05:18:01 | actuary | 4 | 151207 | 967 | 12.063 | 12534.8 |
1185 | 2023-10-27 04:58:39 | actuary | 4 | 151207 | 967 | 12.313 | 12280.3 |
1184 | 2023-10-27 01:05:44 | actuary | 4 | 151207 | 967 | 10.720 | 14105.1 |
1183 | 2023-10-26 18:38:47 | actuary | 4 | 151207 | 967 | 19.420 | 7786.1 |
1182 | 2023-10-26 09:44:40 | actuary | 4 | 151207 | 967 | 10.326 | 14643.3 |
1181 | 2023-10-26 09:44:30 | actuary | 4 | 151207 | 967 | 10.080 | 15000.7 |
1180 | 2023-10-26 05:47:35 | actuary | 4 | 151207 | 967 | 11.096 | 13627.2 |
1179 | 2023-10-25 19:24:57 | actuary | 4 | 151207 | 967 | 11.876 | 12732.1 |
1178 | 2023-10-25 10:33:35 | actuary | 4 | 151207 | 967 | 10.843 | 13945.1 |