History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"binary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1110 | 2025-10-31 03:41:02 | binary | 2 | 82551 | 33 | 2.736 | 30172.1 |
| 1109 | 2025-10-30 05:30:15 | binary | 3 | 112716 | 486 | 4.940 | 22817.0 |
| 1108 | 2025-10-30 04:52:08 | binary | 2 | 82551 | 33 | 2.466 | 33475.7 |
| 1107 | 2025-10-29 20:15:01 | binary | 2 | 82551 | 33 | 4.063 | 20317.7 |
| 1106 | 2025-10-29 05:00:57 | binary | 3 | 112716 | 486 | 5.530 | 20382.6 |
| 1105 | 2025-10-28 16:10:28 | binary | 2 | 82551 | 33 | 2.406 | 34310.5 |
| 1104 | 2025-10-28 15:42:06 | binary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 1103 | 2025-10-27 23:29:48 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1102 | 2025-10-27 22:19:22 | binary | 3 | 112716 | 486 | 10.250 | 10996.7 |
| 1101 | 2025-10-27 09:38:14 | binary | 2 | 82551 | 33 | 2.500 | 33020.4 |
| 1100 | 2025-10-26 22:37:40 | binary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 1099 | 2025-10-26 17:43:25 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1098 | 2025-10-25 22:24:34 | binary | 1 | 48755 | 1 | 0.763 | 63899.1 |
| 1097 | 2025-10-25 14:59:02 | binary | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 1096 | 2025-10-24 15:13:19 | binary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 1095 | 2025-10-24 13:09:12 | binary | 1 | 48755 | 1 | 0.920 | 52994.6 |
| 1094 | 2025-10-24 12:52:18 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1093 | 2025-10-24 12:51:39 | binary | 1 | 48755 | 1 | 0.796 | 61250.0 |
| 1092 | 2025-10-23 04:48:28 | binary | 1 | 48755 | 1 | 3.780 | 12898.1 |
| 1091 | 2025-10-07 10:14:43 | binary | 3 | 112716 | 486 | 5.403 | 20861.7 |
| 1090 | 2025-10-06 00:31:17 | binary | 2 | 82551 | 33 | 2.393 | 34496.9 |
| 1089 | 2025-10-05 21:35:11 | binary | 2 | 82551 | 33 | 2.610 | 31628.7 |
| 1088 | 2025-10-03 19:39:43 | binary | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 1087 | 2025-10-03 16:41:52 | binary | 3 | 112716 | 486 | 5.640 | 19985.1 |
| 1086 | 2025-10-01 09:09:46 | binary | 2 | 82551 | 33 | 2.330 | 35429.6 |
| 1085 | 2025-10-01 08:49:51 | binary | 3 | 112716 | 486 | 5.236 | 21527.1 |
| 1084 | 2025-10-01 03:34:10 | binary | 3 | 112716 | 486 | 4.830 | 23336.6 |
| 1083 | 2025-09-29 22:50:12 | binary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 1082 | 2025-09-29 16:26:03 | binary | 3 | 112716 | 486 | 7.610 | 14811.6 |
| 1081 | 2025-09-29 15:55:13 | binary | 2 | 82551 | 33 | 2.470 | 33421.5 |
| 1080 | 2025-09-29 15:36:45 | binary | 3 | 112716 | 486 | 5.920 | 19039.9 |
| 1079 | 2025-09-29 13:12:28 | binary | 2 | 82551 | 33 | 2.393 | 34496.9 |
| 1078 | 2025-09-29 08:42:59 | binary | 3 | 112716 | 486 | 5.936 | 18988.5 |
| 1077 | 2025-09-27 12:25:33 | binary | 1 | 48755 | 1 | 0.783 | 62266.9 |
| 1076 | 2025-09-25 00:33:14 | binary | 1 | 48755 | 1 | 4.346 | 11218.4 |
| 1075 | 2025-09-24 21:20:28 | binary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 1074 | 2025-09-07 05:22:01 | binary | 2 | 82551 | 33 | 2.126 | 38829.3 |
| 1073 | 2025-09-05 19:17:55 | binary | 3 | 112716 | 486 | 5.560 | 20272.7 |
| 1072 | 2025-09-03 12:34:47 | binary | 1 | 48755 | 1 | 1.703 | 28628.9 |
| 1071 | 2025-09-03 09:48:29 | binary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 1070 | 2025-08-25 21:54:39 | binary | 1 | 48755 | 1 | 1.750 | 27860.0 |
| 1069 | 2025-08-14 09:36:56 | binary | 3 | 112716 | 486 | 5.393 | 20900.4 |
| 1068 | 2025-08-14 06:51:06 | binary | 3 | 112716 | 486 | 5.346 | 21084.2 |
| 1067 | 2025-08-12 07:57:24 | binary | 1 | 48755 | 1 | 2.030 | 24017.2 |
| 1066 | 2025-08-09 09:35:39 | binary | 1 | 48755 | 1 | 3.453 | 14119.6 |
| 1065 | 2025-08-05 11:38:22 | binary | 3 | 112716 | 486 | 13.766 | 8188.0 |
| 1064 | 2025-08-03 19:55:43 | binary | 3 | 112716 | 486 | 12.780 | 8819.7 |
| 1063 | 2025-08-03 07:05:53 | binary | 3 | 112716 | 486 | 21.050 | 5354.7 |
| 1062 | 2025-08-03 06:37:22 | binary | 2 | 82551 | 33 | 5.123 | 16113.8 |
| 1061 | 2025-08-01 21:17:00 | binary | 3 | 112716 | 486 | 27.393 | 4114.8 |
| 1060 | 2025-08-01 12:58:31 | binary | 1 | 48755 | 1 | 1.986 | 24549.3 |
| 1059 | 2025-07-31 18:04:59 | binary | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 1058 | 2025-07-31 10:25:24 | binary | 1 | 48755 | 1 | 2.000 | 24377.5 |
| 1057 | 2025-07-24 17:17:23 | binary | 1 | 48755 | 1 | 5.476 | 8903.4 |
| 1056 | 2025-07-23 19:30:29 | binary | 1 | 48755 | 1 | 2.516 | 19378.0 |
| 1055 | 2025-07-22 22:51:15 | binary | 1 | 48755 | 1 | 2.030 | 24017.2 |
| 1054 | 2025-07-14 00:43:10 | binary | 2 | 82551 | 33 | 6.376 | 12947.1 |
| 1053 | 2025-07-12 11:22:37 | binary | 2 | 82551 | 33 | 2.250 | 36689.3 |
| 1052 | 2025-07-12 06:58:58 | binary | 1 | 48755 | 1 | 0.893 | 54596.9 |
| 1051 | 2025-07-11 05:43:28 | binary | 2 | 82551 | 33 | 14.673 | 5626.0 |
| 1050 | 2025-07-09 09:09:51 | binary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 1049 | 2025-07-07 09:24:43 | binary | 1 | 48755 | 1 | 5.063 | 9629.7 |
| 1048 | 2025-07-02 16:36:53 | binary | 1 | 48755 | 1 | 4.093 | 11911.8 |
| 1047 | 2025-07-02 08:47:58 | binary | 1 | 48755 | 1 | 3.720 | 13106.2 |
| 1046 | 2025-06-24 10:45:58 | binary | 1 | 48755 | 1 | 6.890 | 7076.2 |
| 1045 | 2025-06-22 12:25:55 | binary | 3 | 112716 | 486 | 26.176 | 4306.1 |
| 1044 | 2025-06-22 09:17:46 | binary | 3 | 112716 | 486 | 31.203 | 3612.3 |
| 1043 | 2025-06-22 02:23:08 | binary | 2 | 82551 | 33 | 15.436 | 5348.0 |
| 1042 | 2025-06-21 13:18:55 | binary | 1 | 48755 | 1 | 1.813 | 26891.9 |
| 1041 | 2025-06-20 12:08:38 | binary | 2 | 82551 | 33 | 10.436 | 7910.2 |
| 1040 | 2025-06-20 11:56:10 | binary | 3 | 112716 | 486 | 20.376 | 5531.8 |
| 1039 | 2025-06-19 13:32:05 | binary | 3 | 112716 | 486 | 17.703 | 6367.1 |
| 1038 | 2025-06-18 19:15:05 | binary | 3 | 112716 | 486 | 5.843 | 19290.8 |
| 1037 | 2025-06-09 23:23:15 | binary | 3 | 112716 | 486 | 44.343 | 2541.9 |
| 1036 | 2025-06-08 09:22:03 | binary | 1 | 48755 | 1 | 5.170 | 9430.4 |
| 1035 | 2025-06-08 08:07:25 | binary | 3 | 112716 | 486 | 36.813 | 3061.9 |
| 1034 | 2025-06-07 08:21:55 | binary | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 1033 | 2025-06-01 03:12:28 | binary | 3 | 112716 | 486 | 35.303 | 3192.8 |
| 1032 | 2025-05-31 23:29:31 | binary | 2 | 82551 | 33 | 17.516 | 4712.9 |
| 1031 | 2025-05-31 07:45:16 | binary | 1 | 48755 | 1 | 2.390 | 20399.6 |
| 1030 | 2025-05-31 06:52:12 | binary | 1 | 48755 | 1 | 4.220 | 11553.3 |
| 1029 | 2025-05-28 03:18:29 | binary | 1 | 48755 | 1 | 0.840 | 58041.7 |
| 1028 | 2025-05-25 15:11:10 | binary | 1 | 48755 | 1 | 3.310 | 14729.6 |
| 1027 | 2025-05-23 00:17:38 | binary | 3 | 112716 | 486 | 26.800 | 4205.8 |
| 1026 | 2025-05-19 16:14:34 | binary | 3 | 112716 | 486 | 5.860 | 19234.8 |
| 1025 | 2025-05-19 06:03:59 | binary | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 1024 | 2025-05-17 12:30:01 | binary | 3 | 112716 | 486 | 27.986 | 4027.6 |
| 1023 | 2025-05-17 03:16:09 | binary | 1 | 48755 | 1 | 1.986 | 24549.3 |
| 1022 | 2025-05-16 08:08:52 | binary | 3 | 112716 | 486 | 34.833 | 3235.9 |
| 1021 | 2025-05-15 19:11:00 | binary | 3 | 112716 | 486 | 29.343 | 3841.3 |
| 1020 | 2025-05-15 08:58:12 | binary | 3 | 112716 | 486 | 5.560 | 20272.7 |
| 1019 | 2025-05-15 08:32:36 | binary | 3 | 112716 | 486 | 5.516 | 20434.4 |
| 1018 | 2025-05-13 18:29:28 | binary | 3 | 112716 | 486 | 5.563 | 20261.7 |
| 1017 | 2025-05-12 00:44:10 | binary | 1 | 48755 | 1 | 2.420 | 20146.7 |
| 1016 | 2025-05-11 20:05:25 | binary | 1 | 48755 | 1 | 2.233 | 21833.9 |
| 1015 | 2025-05-11 07:39:25 | binary | 1 | 48755 | 1 | 3.783 | 12887.9 |
| 1014 | 2025-05-10 05:57:06 | binary | 1 | 48755 | 1 | 1.843 | 26454.2 |
| 1013 | 2025-05-08 00:23:58 | binary | 2 | 82551 | 33 | 13.720 | 6016.8 |
| 1012 | 2025-05-07 00:02:51 | binary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 1011 | 2025-05-05 02:10:31 | binary | 1 | 48755 | 1 | 6.093 | 8001.8 |