History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tableau"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1085 | 2025-12-24 02:48:34 | tableau | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 1084 | 2025-12-23 18:00:06 | tableau | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 1083 | 2025-12-21 19:43:36 | tableau | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 1082 | 2025-12-20 20:24:43 | tableau | 1 | 69583 | 3 | 2.860 | 24329.7 |
| 1081 | 2025-12-20 20:22:27 | tableau | 1 | 69583 | 3 | 6.313 | 11022.2 |
| 1080 | 2025-12-20 20:18:59 | tableau | 4 | 151207 | 1438 | 13.906 | 10873.5 |
| 1079 | 2025-12-20 20:18:50 | tableau | 4 | 151207 | 1438 | 11.716 | 12906.0 |
| 1078 | 2025-12-19 07:59:48 | tableau | 3 | 134027 | 100 | 9.173 | 14611.0 |
| 1077 | 2025-12-18 12:10:32 | tableau | 2 | 107671 | 12 | 3.393 | 31733.3 |
| 1076 | 2025-12-18 12:00:47 | tableau | 1 | 69583 | 3 | 9.953 | 6991.2 |
| 1075 | 2025-12-16 02:04:43 | tableau | 1 | 69583 | 3 | 3.453 | 20151.5 |
| 1074 | 2025-12-14 20:59:40 | tableau | 2 | 107671 | 12 | 3.983 | 27032.6 |
| 1073 | 2025-12-13 22:45:33 | tableau | 4 | 151207 | 1438 | 20.686 | 7309.6 |
| 1072 | 2025-12-13 20:38:50 | tableau | 4 | 151207 | 1438 | 30.220 | 5003.5 |
| 1071 | 2025-12-11 16:10:23 | tableau | 1 | 69583 | 3 | 2.610 | 26660.2 |
| 1070 | 2025-12-11 00:29:52 | tableau | 1 | 69583 | 3 | 1.343 | 51811.6 |
| 1069 | 2025-12-10 11:02:28 | tableau | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 1068 | 2025-12-07 07:43:02 | tableau | 1 | 69583 | 3 | 1.313 | 52995.4 |
| 1067 | 2025-12-05 14:19:10 | tableau | 4 | 151207 | 1438 | 11.983 | 12618.5 |
| 1066 | 2025-12-05 06:22:31 | tableau | 1 | 69583 | 3 | 1.283 | 54234.6 |
| 1065 | 2025-12-04 17:26:38 | tableau | 4 | 151207 | 1438 | 11.923 | 12682.0 |
| 1064 | 2025-12-03 21:40:17 | tableau | 4 | 151207 | 1438 | 12.140 | 12455.3 |
| 1063 | 2025-12-02 00:06:55 | tableau | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 1062 | 2025-12-01 17:53:55 | tableau | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 1061 | 2025-12-01 12:46:16 | tableau | 4 | 151207 | 1438 | 10.220 | 14795.2 |
| 1060 | 2025-11-30 07:05:28 | tableau | 1 | 69583 | 3 | 2.470 | 28171.3 |
| 1059 | 2025-11-30 00:16:57 | tableau | 4 | 151207 | 1438 | 36.316 | 4163.6 |
| 1058 | 2025-11-28 19:03:35 | tableau | 4 | 151207 | 1438 | 11.140 | 13573.3 |
| 1057 | 2025-11-27 19:14:19 | tableau | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 1056 | 2025-11-27 19:04:40 | tableau | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 1055 | 2025-11-26 22:04:12 | tableau | 1 | 69583 | 3 | 1.453 | 47889.2 |
| 1054 | 2025-11-26 20:50:12 | tableau | 1 | 69583 | 3 | 1.343 | 51811.6 |
| 1053 | 2025-11-26 00:40:12 | tableau | 3 | 134027 | 100 | 23.720 | 5650.4 |
| 1052 | 2025-11-25 16:45:17 | tableau | 4 | 151207 | 1438 | 11.436 | 13222.0 |
| 1051 | 2025-11-24 09:32:22 | tableau | 4 | 151207 | 1438 | 38.800 | 3897.1 |
| 1050 | 2025-11-24 00:25:37 | tableau | 4 | 151207 | 1438 | 18.970 | 7970.8 |
| 1049 | 2025-11-23 08:57:52 | tableau | 1 | 69583 | 3 | 3.296 | 21111.3 |
| 1048 | 2025-11-21 00:16:05 | tableau | 4 | 151207 | 1438 | 13.003 | 11628.6 |
| 1047 | 2025-11-20 17:05:03 | tableau | 4 | 151207 | 1438 | 12.093 | 12503.7 |
| 1046 | 2025-11-20 00:16:58 | tableau | 3 | 134027 | 100 | 13.813 | 9703.0 |
| 1045 | 2025-11-18 06:31:37 | tableau | 4 | 151207 | 1438 | 14.516 | 10416.6 |
| 1044 | 2025-11-16 22:01:22 | tableau | 2 | 107671 | 12 | 4.076 | 26415.8 |
| 1043 | 2025-11-16 00:17:51 | tableau | 4 | 151207 | 1438 | 51.783 | 2920.0 |
| 1042 | 2025-11-15 18:02:59 | tableau | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 1041 | 2025-11-15 15:27:13 | tableau | 4 | 151207 | 1438 | 12.420 | 12174.5 |
| 1040 | 2025-11-15 01:23:45 | tableau | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 1039 | 2025-11-13 21:17:32 | tableau | 3 | 134027 | 100 | 8.030 | 16690.8 |
| 1038 | 2025-11-10 10:17:03 | tableau | 1 | 69583 | 3 | 1.373 | 50679.5 |
| 1037 | 2025-11-09 00:12:05 | tableau | 4 | 151207 | 1438 | 12.670 | 11934.3 |
| 1036 | 2025-11-08 01:42:27 | tableau | 1 | 69583 | 3 | 1.330 | 52318.0 |
| 1035 | 2025-11-06 07:26:10 | tableau | 1 | 69583 | 3 | 1.126 | 61796.6 |
| 1034 | 2025-11-05 22:49:59 | tableau | 1 | 69583 | 3 | 1.330 | 52318.0 |
| 1033 | 2025-11-04 02:47:37 | tableau | 3 | 134027 | 100 | 8.953 | 14970.1 |
| 1032 | 2025-11-03 11:36:36 | tableau | 4 | 151207 | 1438 | 11.953 | 12650.1 |
| 1031 | 2025-11-02 10:08:47 | tableau | 1 | 69583 | 3 | 1.310 | 53116.8 |
| 1030 | 2025-11-01 00:09:24 | tableau | 4 | 151207 | 1438 | 12.830 | 11785.4 |
| 1029 | 2025-10-30 20:50:00 | tableau | 3 | 134027 | 100 | 6.156 | 21771.8 |
| 1028 | 2025-10-30 08:09:11 | tableau | 1 | 69583 | 3 | 4.140 | 16807.5 |
| 1027 | 2025-10-29 12:06:22 | tableau | 4 | 151207 | 1438 | 11.580 | 13057.6 |
| 1026 | 2025-10-29 10:52:45 | tableau | 2 | 107671 | 12 | 2.953 | 36461.6 |
| 1025 | 2025-10-27 20:27:16 | tableau | 1 | 69583 | 3 | 1.263 | 55093.4 |
| 1024 | 2025-10-27 08:14:17 | tableau | 2 | 107671 | 12 | 3.356 | 32083.1 |
| 1023 | 2025-10-26 23:53:56 | tableau | 1 | 69583 | 3 | 1.326 | 52475.9 |
| 1022 | 2025-10-26 21:57:04 | tableau | 1 | 69583 | 3 | 2.466 | 28217.0 |
| 1021 | 2025-10-25 00:02:54 | tableau | 4 | 151207 | 1438 | 12.906 | 11716.0 |
| 1020 | 2025-10-24 21:48:56 | tableau | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 1019 | 2025-10-24 19:08:30 | tableau | 4 | 151207 | 1438 | 12.673 | 11931.4 |
| 1018 | 2025-10-24 08:46:00 | tableau | 3 | 134027 | 100 | 7.033 | 19056.9 |
| 1017 | 2025-10-23 12:38:13 | tableau | 3 | 134027 | 100 | 30.173 | 4442.0 |
| 1016 | 2025-10-23 03:57:32 | tableau | 2 | 107671 | 12 | 14.063 | 7656.3 |
| 1015 | 2025-10-21 17:29:19 | tableau | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 1014 | 2025-10-21 03:26:18 | tableau | 1 | 69583 | 3 | 5.846 | 11902.7 |
| 1013 | 2025-10-19 09:04:01 | tableau | 4 | 151207 | 1438 | 11.093 | 13630.8 |
| 1012 | 2025-10-19 05:03:57 | tableau | 3 | 134027 | 100 | 5.826 | 23005.0 |
| 1011 | 2025-10-18 02:35:14 | tableau | 4 | 151207 | 1438 | 12.170 | 12424.6 |
| 1010 | 2025-10-17 12:28:49 | tableau | 4 | 151207 | 1438 | 19.266 | 7848.4 |
| 1009 | 2025-10-17 00:08:18 | tableau | 4 | 151207 | 1438 | 10.250 | 14751.9 |
| 1008 | 2025-10-16 18:14:17 | tableau | 1 | 69583 | 3 | 1.093 | 63662.4 |
| 1007 | 2025-10-15 11:54:44 | tableau | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 1006 | 2025-10-13 00:05:35 | tableau | 4 | 151207 | 1438 | 17.316 | 8732.2 |
| 1005 | 2025-10-12 06:52:23 | tableau | 4 | 151207 | 1438 | 13.800 | 10957.0 |
| 1004 | 2025-10-11 05:13:33 | tableau | 1 | 69583 | 3 | 1.360 | 51164.0 |
| 1003 | 2025-10-10 11:13:00 | tableau | 1 | 69583 | 3 | 1.360 | 51164.0 |
| 1002 | 2025-10-10 11:11:15 | tableau | 1 | 69583 | 3 | 2.250 | 30925.8 |
| 1001 | 2025-10-09 18:08:01 | tableau | 4 | 151207 | 1438 | 12.450 | 12145.1 |
| 1000 | 2025-10-06 09:02:10 | tableau | 4 | 151207 | 1438 | 12.263 | 12330.3 |
| 999 | 2025-10-06 08:24:52 | tableau | 1 | 69583 | 3 | 1.313 | 52995.4 |
| 998 | 2025-10-05 01:31:56 | tableau | 3 | 134027 | 100 | 6.763 | 19817.7 |
| 997 | 2025-10-02 14:49:33 | tableau | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 996 | 2025-10-01 19:31:26 | tableau | 1 | 69583 | 3 | 1.326 | 52475.9 |
| 995 | 2025-10-01 17:27:27 | tableau | 4 | 151207 | 1438 | 42.126 | 3589.4 |
| 994 | 2025-10-01 17:26:02 | tableau | 4 | 151207 | 1438 | 29.300 | 5160.6 |
| 993 | 2025-10-01 17:25:11 | tableau | 4 | 151207 | 1438 | 75.133 | 2012.5 |
| 992 | 2025-10-01 13:58:10 | tableau | 4 | 151207 | 1438 | 11.830 | 12781.7 |
| 991 | 2025-10-01 00:11:18 | tableau | 4 | 151207 | 1438 | 12.080 | 12517.1 |
| 990 | 2025-09-30 10:27:40 | tableau | 4 | 151207 | 1438 | 10.296 | 14686.0 |
| 989 | 2025-09-29 18:19:07 | tableau | 4 | 151207 | 1438 | 17.660 | 8562.1 |
| 988 | 2025-09-29 07:53:02 | tableau | 1 | 69583 | 3 | 1.283 | 54234.6 |
| 987 | 2025-09-28 17:24:44 | tableau | 4 | 151207 | 1438 | 10.750 | 14065.8 |
| 986 | 2025-09-28 00:09:10 | tableau | 4 | 151207 | 1438 | 15.140 | 9987.3 |