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 |
| 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 |
| 985 | 2025-09-26 23:19:14 | tableau | 1 | 69583 | 3 | 1.283 | 54234.6 |
| 984 | 2025-09-26 20:01:24 | tableau | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 983 | 2025-09-26 00:28:05 | tableau | 1 | 69583 | 3 | 7.936 | 8768.0 |
| 982 | 2025-09-24 18:42:20 | tableau | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 981 | 2025-09-23 00:08:07 | tableau | 4 | 151207 | 1438 | 11.563 | 13076.8 |
| 980 | 2025-09-22 21:46:02 | tableau | 1 | 69583 | 3 | 1.300 | 53525.4 |
| 979 | 2025-09-22 16:54:26 | tableau | 4 | 151207 | 1438 | 10.343 | 14619.3 |
| 978 | 2025-09-22 07:21:44 | tableau | 4 | 151207 | 1438 | 11.126 | 13590.4 |
| 977 | 2025-09-22 00:23:10 | tableau | 4 | 151207 | 1438 | 10.393 | 14548.9 |
| 976 | 2025-09-18 00:24:06 | tableau | 4 | 151207 | 1438 | 10.500 | 14400.7 |
| 975 | 2025-09-17 02:38:35 | tableau | 2 | 107671 | 12 | 2.936 | 36672.7 |
| 974 | 2025-09-16 00:18:05 | tableau | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 973 | 2025-09-14 16:03:19 | tableau | 3 | 134027 | 100 | 7.206 | 18599.4 |
| 972 | 2025-09-10 22:13:26 | tableau | 4 | 151207 | 1438 | 20.080 | 7530.2 |
| 971 | 2025-09-10 13:14:49 | tableau | 4 | 151207 | 1438 | 20.233 | 7473.3 |
| 970 | 2025-09-10 13:14:32 | tableau | 2 | 107671 | 12 | 12.596 | 8548.0 |
| 969 | 2025-09-09 11:13:07 | tableau | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 968 | 2025-09-09 00:07:21 | tableau | 4 | 151207 | 1438 | 14.656 | 10317.1 |
| 967 | 2025-09-08 23:32:30 | tableau | 1 | 69583 | 3 | 2.063 | 33729.0 |
| 966 | 2025-09-07 21:05:33 | tableau | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 965 | 2025-09-05 08:36:01 | tableau | 1 | 69583 | 3 | 1.263 | 55093.4 |
| 964 | 2025-09-01 20:00:45 | tableau | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 963 | 2025-08-29 07:39:35 | tableau | 1 | 69583 | 3 | 1.236 | 56296.9 |
| 962 | 2025-08-28 16:21:26 | tableau | 4 | 151207 | 1438 | 12.766 | 11844.5 |
| 961 | 2025-08-28 12:08:21 | tableau | 4 | 151207 | 1438 | 35.516 | 4257.4 |
| 960 | 2025-08-28 02:17:33 | tableau | 4 | 151207 | 1438 | 11.343 | 13330.4 |
| 959 | 2025-08-27 12:53:50 | tableau | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 958 | 2025-08-26 23:11:07 | tableau | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 957 | 2025-08-26 20:12:27 | tableau | 1 | 69583 | 3 | 1.283 | 54234.6 |
| 956 | 2025-08-26 19:48:09 | tableau | 4 | 151207 | 1438 | 11.580 | 13057.6 |
| 955 | 2025-08-26 15:38:15 | tableau | 4 | 151207 | 1438 | 27.410 | 5516.5 |
| 954 | 2025-08-26 12:10:53 | tableau | 4 | 151207 | 1438 | 10.970 | 13783.7 |
| 953 | 2025-08-26 11:54:22 | tableau | 4 | 151207 | 1438 | 14.766 | 10240.2 |
| 952 | 2025-08-26 10:32:31 | tableau | 4 | 151207 | 1438 | 36.753 | 4114.1 |
| 951 | 2025-08-24 17:20:39 | tableau | 4 | 151207 | 1438 | 10.110 | 14956.2 |
| 950 | 2025-08-21 04:38:01 | tableau | 1 | 69583 | 3 | 2.856 | 24363.8 |
| 949 | 2025-08-18 11:16:22 | tableau | 1 | 69583 | 3 | 1.123 | 61961.7 |
| 948 | 2025-08-17 10:59:58 | tableau | 3 | 134027 | 100 | 16.190 | 8278.4 |
| 947 | 2025-08-14 01:00:01 | tableau | 1 | 69583 | 3 | 1.263 | 55093.4 |
| 946 | 2025-08-13 04:43:30 | tableau | 1 | 69583 | 3 | 2.763 | 25183.9 |
| 945 | 2025-08-09 11:30:06 | tableau | 1 | 69583 | 3 | 2.986 | 23303.1 |
| 944 | 2025-08-04 14:07:28 | tableau | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 943 | 2025-08-02 10:30:41 | tableau | 1 | 69583 | 3 | 2.610 | 26660.2 |
| 942 | 2025-07-26 20:40:35 | tableau | 1 | 69583 | 3 | 2.920 | 23829.8 |
| 941 | 2025-07-23 19:07:26 | tableau | 1 | 69583 | 3 | 5.280 | 13178.6 |
| 940 | 2025-07-23 16:24:56 | tableau | 1 | 69583 | 3 | 2.643 | 26327.3 |
| 939 | 2025-07-23 00:36:08 | tableau | 1 | 69583 | 3 | 4.970 | 14000.6 |
| 938 | 2025-07-16 09:00:44 | tableau | 1 | 69583 | 3 | 3.733 | 18640.0 |
| 937 | 2025-07-04 10:34:44 | tableau | 1 | 69583 | 3 | 3.846 | 18092.3 |
| 936 | 2025-07-04 09:28:00 | tableau | 1 | 69583 | 3 | 6.610 | 10526.9 |
| 935 | 2025-06-26 12:42:55 | tableau | 3 | 134027 | 100 | 30.360 | 4414.6 |
| 934 | 2025-06-25 04:48:12 | tableau | 3 | 134027 | 100 | 33.340 | 4020.0 |
| 933 | 2025-06-25 03:37:56 | tableau | 2 | 107671 | 12 | 9.080 | 11858.0 |
| 932 | 2025-06-25 02:34:40 | tableau | 3 | 134027 | 100 | 38.030 | 3524.2 |
| 931 | 2025-06-23 20:34:01 | tableau | 1 | 69583 | 3 | 3.936 | 17678.6 |
| 930 | 2025-06-19 21:54:04 | tableau | 1 | 69583 | 3 | 6.250 | 11133.3 |
| 929 | 2025-06-18 21:34:48 | tableau | 3 | 134027 | 100 | 42.470 | 3155.8 |
| 928 | 2025-06-17 22:52:05 | tableau | 1 | 69583 | 3 | 6.013 | 11572.1 |
| 927 | 2025-06-16 05:44:52 | tableau | 4 | 151207 | 1438 | 66.896 | 2260.3 |
| 926 | 2025-06-15 18:03:39 | tableau | 3 | 134027 | 100 | 7.050 | 19010.9 |
| 925 | 2025-06-15 18:02:11 | tableau | 2 | 107671 | 12 | 6.766 | 15913.5 |
| 924 | 2025-06-15 11:40:41 | tableau | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 923 | 2025-06-12 18:30:46 | tableau | 4 | 151207 | 1438 | 14.643 | 10326.2 |
| 922 | 2025-06-11 19:24:02 | tableau | 1 | 69583 | 3 | 1.220 | 57035.2 |