History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tear"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1108 | 2026-01-26 22:50:30 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
| 1107 | 2026-01-26 18:46:17 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1106 | 2026-01-25 14:26:02 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1105 | 2026-01-23 20:37:13 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1104 | 2026-01-23 18:28:53 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1103 | 2026-01-23 08:31:41 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
| 1102 | 2026-01-06 21:27:58 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1101 | 2026-01-05 16:40:01 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1100 | 2025-12-30 08:22:40 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1099 | 2025-12-29 00:54:25 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
| 1098 | 2025-12-28 23:13:36 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
| 1097 | 2025-12-23 03:18:52 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1096 | 2025-12-23 00:28:59 | tear | 1 | 13983 | 25 | 0.453 | 30867.5 |
| 1095 | 2025-12-18 15:23:56 | tear | 2 | 29872 | 309 | 0.876 | 34100.5 |
| 1094 | 2025-12-18 14:21:55 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
| 1093 | 2025-12-18 14:21:18 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1092 | 2025-12-18 13:40:30 | tear | 2 | 29872 | 309 | 0.890 | 33564.0 |
| 1091 | 2025-12-17 16:31:56 | tear | 1 | 13983 | 25 | 0.456 | 30664.5 |
| 1090 | 2025-12-15 21:35:35 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
| 1089 | 2025-12-11 00:02:10 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1088 | 2025-12-08 01:41:48 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
| 1087 | 2025-12-02 06:20:06 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1086 | 2025-12-01 19:26:53 | tear | 2 | 29872 | 309 | 1.826 | 16359.3 |
| 1085 | 2025-11-23 08:47:10 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1084 | 2025-11-22 12:09:34 | tear | 2 | 29872 | 309 | 0.860 | 34734.9 |
| 1083 | 2025-11-17 23:03:08 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1082 | 2025-11-17 13:24:57 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
| 1081 | 2025-11-15 03:18:53 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1080 | 2025-11-14 12:52:42 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
| 1079 | 2025-11-13 17:43:59 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1078 | 2025-11-10 21:41:50 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
| 1077 | 2025-11-10 06:56:48 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
| 1076 | 2025-10-31 17:26:53 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1075 | 2025-10-27 00:57:41 | tear | 2 | 29872 | 309 | 1.766 | 16915.1 |
| 1074 | 2025-10-25 05:50:08 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1073 | 2025-10-24 15:52:16 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1072 | 2025-10-17 17:22:35 | tear | 1 | 13983 | 25 | 1.596 | 8761.3 |
| 1071 | 2025-10-12 05:46:10 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
| 1070 | 2025-09-27 11:36:03 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1069 | 2025-09-25 23:24:44 | tear | 2 | 29872 | 309 | 0.906 | 32971.3 |
| 1068 | 2025-09-25 21:52:32 | tear | 1 | 13983 | 25 | 0.406 | 34440.9 |
| 1067 | 2025-09-25 17:23:10 | tear | 1 | 13983 | 25 | 0.686 | 20383.4 |
| 1066 | 2025-09-23 15:22:43 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1065 | 2025-09-15 08:41:40 | tear | 2 | 29872 | 309 | 0.766 | 38997.4 |
| 1064 | 2025-09-08 21:36:31 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1063 | 2025-09-04 09:00:22 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1062 | 2025-09-03 07:36:36 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
| 1061 | 2025-08-27 00:22:45 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1060 | 2025-08-26 23:22:07 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1059 | 2025-08-21 16:58:40 | tear | 1 | 13983 | 25 | 0.406 | 34440.9 |
| 1058 | 2025-08-19 02:05:32 | tear | 1 | 13983 | 25 | 1.186 | 11790.1 |
| 1057 | 2025-08-18 00:51:29 | tear | 2 | 29872 | 309 | 0.783 | 38150.7 |
| 1056 | 2025-08-17 23:17:24 | tear | 1 | 13983 | 25 | 0.500 | 27966.0 |
| 1055 | 2025-08-09 13:29:09 | tear | 1 | 13983 | 25 | 1.280 | 10924.2 |
| 1054 | 2025-08-03 04:37:07 | tear | 1 | 13983 | 25 | 1.093 | 12793.2 |
| 1053 | 2025-08-01 10:27:08 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
| 1052 | 2025-07-27 02:13:53 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
| 1051 | 2025-07-26 23:59:46 | tear | 1 | 13983 | 25 | 0.656 | 21315.5 |
| 1050 | 2025-07-26 10:36:35 | tear | 1 | 13983 | 25 | 0.533 | 26234.5 |
| 1049 | 2025-07-24 03:39:26 | tear | 1 | 13983 | 25 | 1.636 | 8547.1 |
| 1048 | 2025-07-22 08:30:19 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
| 1047 | 2025-07-21 16:34:07 | tear | 1 | 13983 | 25 | 1.110 | 12597.3 |
| 1046 | 2025-07-19 14:27:40 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
| 1045 | 2025-07-18 22:10:41 | tear | 1 | 13983 | 25 | 1.156 | 12096.0 |
| 1044 | 2025-07-12 21:45:19 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1043 | 2025-07-08 12:49:44 | tear | 1 | 13983 | 25 | 0.906 | 15433.8 |
| 1042 | 2025-07-07 02:38:15 | tear | 1 | 13983 | 25 | 0.716 | 19529.3 |
| 1041 | 2025-07-02 09:38:59 | tear | 1 | 13983 | 25 | 1.313 | 10649.7 |
| 1040 | 2025-07-02 04:25:31 | tear | 1 | 13983 | 25 | 0.750 | 18644.0 |
| 1039 | 2025-07-01 15:16:39 | tear | 1 | 13983 | 25 | 0.516 | 27098.8 |
| 1038 | 2025-06-29 09:37:12 | tear | 1 | 13983 | 25 | 0.296 | 47239.9 |
| 1037 | 2025-06-27 05:56:20 | tear | 2 | 29872 | 309 | 4.736 | 6307.4 |
| 1036 | 2025-06-21 10:53:17 | tear | 2 | 29872 | 309 | 6.296 | 4744.6 |
| 1035 | 2025-06-18 17:38:21 | tear | 1 | 13983 | 25 | 0.673 | 20777.1 |
| 1034 | 2025-06-18 02:45:17 | tear | 1 | 13983 | 25 | 1.080 | 12947.2 |
| 1033 | 2025-06-13 01:39:00 | tear | 2 | 29872 | 309 | 0.766 | 38997.4 |
| 1032 | 2025-06-12 21:37:42 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
| 1031 | 2025-06-07 07:17:29 | tear | 1 | 13983 | 25 | 0.596 | 23461.4 |
| 1030 | 2025-06-03 01:58:49 | tear | 2 | 29872 | 309 | 0.750 | 39829.3 |
| 1029 | 2025-06-02 22:02:56 | tear | 2 | 29872 | 309 | 4.280 | 6979.4 |
| 1028 | 2025-06-02 08:56:25 | tear | 1 | 13983 | 25 | 0.716 | 19529.3 |
| 1027 | 2025-06-02 04:58:49 | tear | 2 | 29872 | 309 | 4.486 | 6658.9 |
| 1026 | 2025-06-02 03:44:44 | tear | 1 | 13983 | 25 | 0.906 | 15433.8 |
| 1025 | 2025-06-01 12:56:18 | tear | 2 | 29872 | 309 | 0.813 | 36742.9 |
| 1024 | 2025-06-01 00:27:44 | tear | 2 | 29872 | 309 | 3.736 | 7995.7 |
| 1023 | 2025-05-30 21:31:57 | tear | 2 | 29872 | 309 | 6.390 | 4674.8 |
| 1022 | 2025-05-30 12:53:16 | tear | 1 | 13983 | 25 | 0.326 | 42892.6 |
| 1021 | 2025-05-29 09:49:10 | tear | 1 | 13983 | 25 | 1.266 | 11045.0 |
| 1020 | 2025-05-27 19:35:15 | tear | 1 | 13983 | 25 | 0.686 | 20383.4 |
| 1019 | 2025-05-26 13:43:35 | tear | 2 | 29872 | 309 | 3.813 | 7834.3 |
| 1018 | 2025-05-23 22:03:42 | tear | 1 | 13983 | 25 | 0.686 | 20383.4 |
| 1017 | 2025-05-20 10:21:08 | tear | 2 | 29872 | 309 | 5.936 | 5032.3 |
| 1016 | 2025-05-18 18:34:18 | tear | 1 | 13983 | 25 | 0.546 | 25609.9 |
| 1015 | 2025-05-18 15:54:32 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
| 1014 | 2025-05-18 01:09:25 | tear | 2 | 29872 | 309 | 4.423 | 6753.8 |
| 1013 | 2025-05-16 23:19:59 | tear | 2 | 29872 | 309 | 0.936 | 31914.5 |
| 1012 | 2025-05-15 16:06:59 | tear | 2 | 29872 | 309 | 2.280 | 13101.8 |
| 1011 | 2025-05-12 01:44:06 | tear | 2 | 29872 | 309 | 6.516 | 4584.4 |
| 1010 | 2025-05-09 10:42:49 | tear | 1 | 13983 | 25 | 0.516 | 27098.8 |
| 1009 | 2025-05-08 05:13:37 | tear | 1 | 13983 | 25 | 2.046 | 6834.3 |