History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scalar"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1106 | 2026-01-18 04:56:38 | scalar | 2 | 82551 | 45 | 5.673 | 14551.6 |
| 1105 | 2026-01-17 16:50:25 | scalar | 3 | 112716 | 573 | 27.550 | 4091.3 |
| 1104 | 2026-01-16 23:35:31 | scalar | 1 | 48755 | 4 | 1.610 | 30282.6 |
| 1103 | 2026-01-16 23:18:36 | scalar | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1102 | 2026-01-16 22:46:45 | scalar | 1 | 48755 | 4 | 1.483 | 32875.9 |
| 1101 | 2026-01-16 20:43:00 | scalar | 3 | 112716 | 573 | 5.656 | 19928.6 |
| 1100 | 2026-01-13 02:16:02 | scalar | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1099 | 2026-01-04 23:13:01 | scalar | 1 | 48755 | 4 | 0.783 | 62266.9 |
| 1098 | 2026-01-04 06:24:31 | scalar | 3 | 112716 | 573 | 5.873 | 19192.2 |
| 1097 | 2025-12-29 07:41:23 | scalar | 1 | 48755 | 4 | 0.796 | 61250.0 |
| 1096 | 2025-12-26 07:36:21 | scalar | 3 | 112716 | 573 | 6.156 | 18309.9 |
| 1095 | 2025-12-23 21:30:28 | scalar | 1 | 48755 | 4 | 1.813 | 26891.9 |
| 1094 | 2025-12-22 08:09:31 | scalar | 3 | 112716 | 573 | 9.640 | 11692.5 |
| 1093 | 2025-12-21 18:52:29 | scalar | 3 | 112716 | 573 | 24.113 | 4674.5 |
| 1092 | 2025-12-21 18:52:39 | scalar | 3 | 112716 | 573 | 11.736 | 9604.3 |
| 1091 | 2025-12-21 07:29:40 | scalar | 3 | 112716 | 573 | 5.576 | 20214.5 |
| 1090 | 2025-12-21 03:06:36 | scalar | 3 | 112716 | 573 | 5.296 | 21283.2 |
| 1089 | 2025-12-15 17:10:22 | scalar | 1 | 48755 | 4 | 1.876 | 25988.8 |
| 1088 | 2025-12-12 23:46:19 | scalar | 3 | 112716 | 573 | 17.690 | 6371.7 |
| 1087 | 2025-12-02 08:11:45 | scalar | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1086 | 2025-11-24 00:25:12 | scalar | 1 | 48755 | 4 | 0.813 | 59969.2 |
| 1085 | 2025-11-22 05:36:19 | scalar | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1084 | 2025-11-21 06:05:25 | scalar | 3 | 112716 | 573 | 10.720 | 10514.6 |
| 1083 | 2025-11-06 18:48:43 | scalar | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1082 | 2025-10-24 16:27:50 | scalar | 1 | 48755 | 4 | 0.813 | 59969.2 |
| 1081 | 2025-10-24 05:15:31 | scalar | 3 | 112716 | 573 | 6.143 | 18348.7 |
| 1080 | 2025-10-21 09:48:41 | scalar | 1 | 48755 | 4 | 2.200 | 22161.4 |
| 1079 | 2025-10-19 21:45:38 | scalar | 3 | 112716 | 573 | 22.873 | 4927.9 |
| 1078 | 2025-10-19 21:45:17 | scalar | 3 | 112716 | 573 | 24.393 | 4620.8 |
| 1077 | 2025-10-19 21:44:58 | scalar | 3 | 112716 | 573 | 26.896 | 4190.8 |
| 1076 | 2025-10-19 21:44:48 | scalar | 3 | 112716 | 573 | 30.896 | 3648.2 |
| 1075 | 2025-10-19 13:34:10 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1074 | 2025-10-17 11:20:30 | scalar | 3 | 112716 | 573 | 5.266 | 21404.5 |
| 1073 | 2025-10-17 02:18:31 | scalar | 3 | 112716 | 573 | 5.596 | 20142.2 |
| 1072 | 2025-10-13 17:22:37 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1071 | 2025-10-08 00:35:41 | scalar | 2 | 82551 | 45 | 2.533 | 32590.2 |
| 1070 | 2025-10-07 18:50:05 | scalar | 3 | 112716 | 573 | 5.970 | 18880.4 |
| 1069 | 2025-09-26 06:05:22 | scalar | 3 | 112716 | 573 | 5.513 | 20445.5 |
| 1068 | 2025-09-20 09:01:08 | scalar | 3 | 112716 | 573 | 4.953 | 22757.1 |
| 1067 | 2025-09-19 16:47:03 | scalar | 3 | 112716 | 573 | 4.923 | 22895.8 |
| 1066 | 2025-09-18 12:47:56 | scalar | 1 | 48755 | 4 | 0.953 | 51159.5 |
| 1065 | 2025-09-18 08:07:54 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1064 | 2025-09-09 12:46:11 | scalar | 3 | 112716 | 573 | 5.750 | 19602.8 |
| 1063 | 2025-09-05 00:22:53 | scalar | 1 | 48755 | 4 | 0.876 | 55656.4 |
| 1062 | 2025-09-02 17:05:14 | scalar | 3 | 112716 | 573 | 5.453 | 20670.5 |
| 1061 | 2025-09-01 05:37:13 | scalar | 3 | 112716 | 573 | 5.783 | 19490.9 |
| 1060 | 2025-08-29 11:52:21 | scalar | 3 | 112716 | 573 | 5.720 | 19705.6 |
| 1059 | 2025-08-29 03:20:06 | scalar | 3 | 112716 | 573 | 5.796 | 19447.2 |
| 1058 | 2025-08-26 15:42:20 | scalar | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1057 | 2025-08-25 07:14:13 | scalar | 1 | 48755 | 4 | 6.030 | 8085.4 |
| 1056 | 2025-08-23 09:53:02 | scalar | 1 | 48755 | 4 | 2.080 | 23439.9 |
| 1055 | 2025-08-17 03:36:15 | scalar | 3 | 112716 | 573 | 25.716 | 4383.1 |
| 1054 | 2025-08-15 07:21:59 | scalar | 3 | 112716 | 573 | 30.110 | 3743.5 |
| 1053 | 2025-08-12 15:18:48 | scalar | 3 | 112716 | 573 | 25.843 | 4361.6 |
| 1052 | 2025-08-11 02:45:50 | scalar | 1 | 48755 | 4 | 0.873 | 55847.7 |
| 1051 | 2025-08-11 00:23:05 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1050 | 2025-08-10 11:41:24 | scalar | 1 | 48755 | 4 | 3.966 | 12293.2 |
| 1049 | 2025-08-05 15:29:51 | scalar | 2 | 82551 | 45 | 8.216 | 10047.6 |
| 1048 | 2025-08-05 00:24:02 | scalar | 3 | 112716 | 573 | 15.703 | 7178.0 |
| 1047 | 2025-08-04 09:28:17 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1046 | 2025-08-02 01:32:06 | scalar | 3 | 112716 | 573 | 11.923 | 9453.7 |
| 1045 | 2025-08-01 16:11:13 | scalar | 1 | 48755 | 4 | 2.190 | 22262.6 |
| 1044 | 2025-08-01 00:20:16 | scalar | 2 | 82551 | 45 | 8.656 | 9536.9 |
| 1043 | 2025-07-31 10:56:37 | scalar | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1042 | 2025-07-24 18:59:21 | scalar | 1 | 48755 | 4 | 5.923 | 8231.5 |
| 1041 | 2025-07-23 11:44:44 | scalar | 1 | 48755 | 4 | 3.813 | 12786.5 |
| 1040 | 2025-07-22 16:16:18 | scalar | 1 | 48755 | 4 | 2.283 | 21355.7 |
| 1039 | 2025-07-12 22:06:18 | scalar | 1 | 48755 | 4 | 2.080 | 23439.9 |
| 1038 | 2025-07-10 03:05:14 | scalar | 1 | 48755 | 4 | 4.000 | 12188.8 |
| 1037 | 2025-07-08 10:45:50 | scalar | 1 | 48755 | 4 | 6.013 | 8108.3 |
| 1036 | 2025-07-02 14:49:36 | scalar | 1 | 48755 | 4 | 2.266 | 21515.9 |
| 1035 | 2025-07-01 08:39:28 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1034 | 2025-06-20 11:29:44 | scalar | 3 | 112716 | 573 | 27.393 | 4114.8 |
| 1033 | 2025-06-20 04:59:20 | scalar | 3 | 112716 | 573 | 18.643 | 6046.0 |
| 1032 | 2025-06-18 23:41:23 | scalar | 3 | 112716 | 573 | 19.936 | 5653.9 |
| 1031 | 2025-06-18 21:57:59 | scalar | 3 | 112716 | 573 | 28.266 | 3987.7 |
| 1030 | 2025-06-18 05:07:24 | scalar | 3 | 112716 | 573 | 13.360 | 8436.8 |
| 1029 | 2025-06-16 07:28:16 | scalar | 3 | 112716 | 573 | 22.063 | 5108.8 |
| 1028 | 2025-06-15 07:42:47 | scalar | 1 | 48755 | 4 | 0.970 | 50262.9 |
| 1027 | 2025-06-09 23:32:18 | scalar | 1 | 48755 | 4 | 5.653 | 8624.6 |
| 1026 | 2025-06-06 10:27:15 | scalar | 1 | 48755 | 4 | 2.470 | 19738.9 |
| 1025 | 2025-06-06 09:52:13 | scalar | 1 | 48755 | 4 | 4.453 | 10948.8 |
| 1024 | 2025-06-02 13:39:07 | scalar | 1 | 48755 | 4 | 2.580 | 18897.3 |
| 1023 | 2025-05-31 02:23:01 | scalar | 1 | 48755 | 4 | 5.830 | 8362.8 |
| 1022 | 2025-05-26 04:48:29 | scalar | 1 | 48755 | 4 | 4.143 | 11768.0 |
| 1021 | 2025-05-20 15:21:54 | scalar | 1 | 48755 | 4 | 4.263 | 11436.8 |
| 1020 | 2025-05-12 02:05:51 | scalar | 2 | 82551 | 45 | 7.296 | 11314.6 |
| 1019 | 2025-05-10 18:12:15 | scalar | 2 | 82551 | 45 | 15.283 | 5401.5 |
| 1018 | 2025-05-09 23:15:33 | scalar | 1 | 48755 | 4 | 6.266 | 7780.9 |
| 1017 | 2025-05-06 10:04:40 | scalar | 1 | 48755 | 4 | 6.860 | 7107.1 |
| 1016 | 2025-05-05 04:34:52 | scalar | 3 | 112716 | 573 | 28.280 | 3985.7 |
| 1015 | 2025-05-04 07:29:03 | scalar | 3 | 112716 | 573 | 22.503 | 5008.9 |
| 1014 | 2025-05-03 22:06:51 | scalar | 3 | 112716 | 573 | 29.220 | 3857.5 |
| 1013 | 2025-05-03 10:38:28 | scalar | 3 | 112716 | 573 | 15.173 | 7428.7 |
| 1012 | 2025-05-02 14:28:49 | scalar | 1 | 48755 | 4 | 4.890 | 9970.3 |
| 1011 | 2025-04-27 13:56:12 | scalar | 3 | 112716 | 573 | 5.580 | 20200.0 |
| 1010 | 2025-04-20 22:44:32 | scalar | 2 | 82551 | 45 | 7.720 | 10693.1 |
| 1009 | 2025-04-20 08:58:40 | scalar | 2 | 82551 | 45 | 10.376 | 7956.0 |
| 1008 | 2025-04-19 23:02:59 | scalar | 3 | 112716 | 573 | 29.063 | 3878.3 |
| 1007 | 2025-04-19 14:36:25 | scalar | 1 | 48755 | 4 | 0.923 | 52822.3 |