History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swats"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1114 | 2026-02-13 04:44:14 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1113 | 2026-02-12 12:15:27 | swats | 1 | 28756 | 19 | 2.810 | 10233.5 |
| 1112 | 2026-02-12 12:10:15 | swats | 1 | 28756 | 19 | 2.106 | 13654.3 |
| 1111 | 2026-02-09 09:22:48 | swats | 2 | 53800 | 263 | 4.373 | 12302.8 |
| 1110 | 2026-02-04 06:54:33 | swats | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 1109 | 2026-02-02 10:04:23 | swats | 1 | 28756 | 19 | 1.453 | 19790.8 |
| 1108 | 2026-01-30 09:45:57 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1107 | 2026-01-22 13:44:39 | swats | 2 | 53800 | 263 | 2.410 | 22323.7 |
| 1106 | 2026-01-19 04:42:43 | swats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1105 | 2026-01-07 02:09:15 | swats | 1 | 28756 | 19 | 0.563 | 51076.4 |
| 1104 | 2026-01-06 14:23:20 | swats | 1 | 28756 | 19 | 0.920 | 31256.5 |
| 1103 | 2026-01-06 09:40:53 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1102 | 2026-01-06 07:06:16 | swats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1101 | 2026-01-03 13:13:38 | swats | 1 | 28756 | 19 | 0.483 | 59536.2 |
| 1100 | 2026-01-03 10:18:15 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1099 | 2026-01-03 08:39:02 | swats | 1 | 28756 | 19 | 0.543 | 52957.6 |
| 1098 | 2026-01-03 02:56:14 | swats | 2 | 53800 | 263 | 4.656 | 11555.0 |
| 1097 | 2026-01-02 12:55:15 | swats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1096 | 2025-12-23 21:06:09 | swats | 1 | 28756 | 19 | 1.033 | 27837.4 |
| 1095 | 2025-12-22 00:41:46 | swats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1094 | 2025-12-18 17:51:33 | swats | 1 | 28756 | 19 | 0.576 | 49923.6 |
| 1093 | 2025-12-16 06:39:25 | swats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 1092 | 2025-12-15 00:55:54 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1091 | 2025-12-14 07:28:31 | swats | 2 | 53800 | 263 | 6.500 | 8276.9 |
| 1090 | 2025-12-05 00:20:54 | swats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 1089 | 2025-12-05 00:19:26 | swats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1088 | 2025-12-02 10:55:20 | swats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 1087 | 2025-11-24 09:35:12 | swats | 1 | 28756 | 19 | 0.576 | 49923.6 |
| 1086 | 2025-11-23 22:30:10 | swats | 2 | 53800 | 263 | 1.640 | 32804.9 |
| 1085 | 2025-11-18 14:26:31 | swats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1084 | 2025-11-15 18:52:24 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1083 | 2025-11-15 04:39:40 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1082 | 2025-11-14 19:24:39 | swats | 1 | 28756 | 19 | 0.716 | 40162.0 |
| 1081 | 2025-11-14 01:24:37 | swats | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1080 | 2025-11-11 17:53:20 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1079 | 2025-11-11 05:40:00 | swats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1078 | 2025-11-03 00:36:27 | swats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1077 | 2025-10-19 10:33:21 | swats | 1 | 28756 | 19 | 1.076 | 26724.9 |
| 1076 | 2025-10-15 14:22:03 | swats | 2 | 53800 | 263 | 1.440 | 37361.1 |
| 1075 | 2025-10-05 19:52:50 | swats | 1 | 28756 | 19 | 0.576 | 49923.6 |
| 1074 | 2025-09-29 00:42:27 | swats | 2 | 53800 | 263 | 1.436 | 37465.2 |
| 1073 | 2025-09-28 23:26:23 | swats | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1072 | 2025-09-28 22:51:32 | swats | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1071 | 2025-09-28 21:25:48 | swats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1070 | 2025-09-26 05:28:54 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1069 | 2025-09-13 04:16:38 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1068 | 2025-09-07 10:28:09 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1067 | 2025-08-21 16:32:06 | swats | 1 | 28756 | 19 | 1.453 | 19790.8 |
| 1066 | 2025-08-11 03:34:24 | swats | 1 | 28756 | 19 | 2.153 | 13356.2 |
| 1065 | 2025-08-10 05:53:28 | swats | 1 | 28756 | 19 | 2.360 | 12184.7 |
| 1064 | 2025-08-02 12:33:45 | swats | 1 | 28756 | 19 | 0.966 | 29768.1 |
| 1063 | 2025-08-01 14:39:29 | swats | 1 | 28756 | 19 | 2.873 | 10009.0 |
| 1062 | 2025-07-27 10:00:05 | swats | 1 | 28756 | 19 | 2.436 | 11804.6 |
| 1061 | 2025-07-27 06:22:17 | swats | 1 | 28756 | 19 | 2.700 | 10650.4 |
| 1060 | 2025-07-26 12:19:39 | swats | 2 | 53800 | 263 | 1.640 | 32804.9 |
| 1059 | 2025-07-24 00:31:19 | swats | 1 | 28756 | 19 | 2.373 | 12118.0 |
| 1058 | 2025-07-22 21:55:12 | swats | 1 | 28756 | 19 | 0.970 | 29645.4 |
| 1057 | 2025-07-22 07:30:15 | swats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1056 | 2025-07-18 21:07:10 | swats | 1 | 28756 | 19 | 1.690 | 17015.4 |
| 1055 | 2025-07-10 20:12:06 | swats | 1 | 28756 | 19 | 2.203 | 13053.1 |
| 1054 | 2025-07-04 14:14:02 | swats | 2 | 53800 | 263 | 12.360 | 4352.8 |
| 1053 | 2025-07-02 18:15:42 | swats | 2 | 53800 | 263 | 4.673 | 11512.9 |
| 1052 | 2025-07-02 13:25:53 | swats | 1 | 28756 | 19 | 2.590 | 11102.7 |
| 1051 | 2025-07-02 04:16:32 | swats | 1 | 28756 | 19 | 3.186 | 9025.7 |
| 1050 | 2025-07-01 01:45:57 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1049 | 2025-06-20 01:55:11 | swats | 2 | 53800 | 263 | 8.690 | 6191.0 |
| 1048 | 2025-06-18 18:22:39 | swats | 2 | 53800 | 263 | 7.813 | 6886.0 |
| 1047 | 2025-06-12 22:36:17 | swats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1046 | 2025-06-11 08:24:50 | swats | 1 | 28756 | 19 | 2.716 | 10587.6 |
| 1045 | 2025-06-10 03:50:24 | swats | 1 | 28756 | 19 | 1.970 | 14597.0 |
| 1044 | 2025-06-05 12:14:03 | swats | 1 | 28756 | 19 | 1.046 | 27491.4 |
| 1043 | 2025-06-03 00:52:06 | swats | 1 | 28756 | 19 | 2.936 | 9794.3 |
| 1042 | 2025-06-02 03:48:29 | swats | 2 | 53800 | 263 | 7.890 | 6818.8 |
| 1041 | 2025-06-01 12:07:01 | swats | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 1040 | 2025-05-31 04:01:44 | swats | 1 | 28756 | 19 | 1.843 | 15602.8 |
| 1039 | 2025-05-30 22:31:50 | swats | 1 | 28756 | 19 | 1.860 | 15460.2 |
| 1038 | 2025-05-30 10:42:52 | swats | 1 | 28756 | 19 | 2.580 | 11145.7 |
| 1037 | 2025-05-29 17:34:29 | swats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1036 | 2025-05-27 12:15:19 | swats | 1 | 28756 | 19 | 2.610 | 11017.6 |
| 1035 | 2025-05-26 15:24:50 | swats | 2 | 53800 | 263 | 12.470 | 4314.4 |
| 1034 | 2025-05-16 16:27:15 | swats | 2 | 53800 | 263 | 11.203 | 4802.3 |
| 1033 | 2025-05-16 01:34:34 | swats | 2 | 53800 | 263 | 7.263 | 7407.4 |
| 1032 | 2025-05-14 19:55:33 | swats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1031 | 2025-05-14 19:54:54 | swats | 2 | 53800 | 263 | 1.640 | 32804.9 |
| 1030 | 2025-05-14 02:24:32 | swats | 2 | 53800 | 263 | 11.676 | 4607.7 |
| 1029 | 2025-05-12 11:55:52 | swats | 1 | 28756 | 19 | 2.046 | 14054.7 |
| 1028 | 2025-05-11 23:03:21 | swats | 1 | 28756 | 19 | 3.830 | 7508.1 |
| 1027 | 2025-05-10 04:17:07 | swats | 1 | 28756 | 19 | 2.296 | 12524.4 |
| 1026 | 2025-05-08 04:56:47 | swats | 2 | 53800 | 263 | 8.610 | 6248.5 |
| 1025 | 2025-05-03 12:31:51 | swats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1024 | 2025-05-03 07:27:57 | swats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1023 | 2025-05-01 04:21:44 | swats | 2 | 53800 | 263 | 8.420 | 6389.5 |
| 1022 | 2025-05-01 01:38:25 | swats | 1 | 28756 | 19 | 3.846 | 7476.9 |
| 1021 | 2025-04-30 12:55:48 | swats | 1 | 28756 | 19 | 3.453 | 8327.8 |
| 1020 | 2025-04-30 09:35:30 | swats | 2 | 53800 | 263 | 9.173 | 5865.0 |
| 1019 | 2025-04-30 02:54:24 | swats | 1 | 28756 | 19 | 2.703 | 10638.5 |
| 1018 | 2025-04-29 13:10:17 | swats | 2 | 53800 | 263 | 5.640 | 9539.0 |
| 1017 | 2025-04-27 03:52:04 | swats | 2 | 53800 | 263 | 1.560 | 34487.2 |
| 1016 | 2025-04-27 02:43:50 | swats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1015 | 2025-04-27 02:28:47 | swats | 1 | 28756 | 19 | 0.513 | 56054.6 |