History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tier"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1066 | 2025-08-30 17:40:05 | tier | 1 | 13983 | 18 | 0.280 | 49939.3 |
1065 | 2025-08-28 10:22:25 | tier | 1 | 13983 | 18 | 0.220 | 63559.1 |
1064 | 2025-08-27 06:02:57 | tier | 1 | 13983 | 18 | 0.233 | 60012.9 |
1063 | 2025-08-25 08:16:36 | tier | 1 | 13983 | 18 | 1.110 | 12597.3 |
1062 | 2025-08-17 10:54:25 | tier | 1 | 13983 | 18 | 0.673 | 20777.1 |
1061 | 2025-08-11 15:15:52 | tier | 1 | 13983 | 18 | 0.406 | 34440.9 |
1060 | 2025-08-09 12:36:16 | tier | 1 | 13983 | 18 | 0.670 | 20870.1 |
1059 | 2025-08-05 13:50:28 | tier | 2 | 29872 | 354 | 2.250 | 13276.4 |
1058 | 2025-08-02 22:12:05 | tier | 2 | 29872 | 354 | 4.406 | 6779.8 |
1056 | 2025-08-02 22:12:05 | tier | 2 | 29872 | 354 | 4.580 | 6522.3 |
1055 | 2025-07-31 12:20:09 | tier | 1 | 13983 | 18 | 0.453 | 30867.5 |
1054 | 2025-07-29 20:50:55 | tier | 1 | 13983 | 18 | 0.296 | 47239.9 |
1053 | 2025-07-28 11:55:03 | tier | 1 | 13983 | 18 | 0.596 | 23461.4 |
1052 | 2025-07-27 06:32:42 | tier | 1 | 13983 | 18 | 0.280 | 49939.3 |
1051 | 2025-07-23 17:44:28 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
1050 | 2025-07-23 16:41:54 | tier | 1 | 13983 | 18 | 0.483 | 28950.3 |
1049 | 2025-07-23 03:11:31 | tier | 1 | 13983 | 18 | 0.923 | 15149.5 |
1048 | 2025-07-19 21:53:26 | tier | 2 | 29872 | 354 | 2.186 | 13665.1 |
1047 | 2025-07-19 15:19:48 | tier | 2 | 29872 | 354 | 0.893 | 33451.3 |
1046 | 2025-07-17 16:18:12 | tier | 1 | 13983 | 18 | 0.813 | 17199.3 |
1045 | 2025-07-16 15:56:02 | tier | 2 | 29872 | 354 | 0.846 | 35309.7 |
1044 | 2025-07-16 00:08:19 | tier | 1 | 13983 | 18 | 0.263 | 53167.3 |
1043 | 2025-07-14 12:51:35 | tier | 1 | 13983 | 18 | 1.186 | 11790.1 |
1042 | 2025-07-11 06:47:15 | tier | 1 | 13983 | 18 | 1.750 | 7990.3 |
1041 | 2025-07-10 03:19:56 | tier | 2 | 29872 | 354 | 5.343 | 5590.9 |
1040 | 2025-07-08 12:18:53 | tier | 1 | 13983 | 18 | 0.686 | 20383.4 |
1039 | 2025-07-03 18:51:39 | tier | 1 | 13983 | 18 | 0.236 | 59250.0 |
1038 | 2025-07-02 13:32:51 | tier | 2 | 29872 | 354 | 2.233 | 13377.5 |
1037 | 2025-07-02 10:33:14 | tier | 2 | 29872 | 354 | 2.483 | 12030.6 |
1036 | 2025-07-02 04:39:32 | tier | 2 | 29872 | 354 | 4.656 | 6415.8 |
1035 | 2025-07-01 20:17:30 | tier | 1 | 13983 | 18 | 1.093 | 12793.2 |
1034 | 2025-07-01 03:33:35 | tier | 2 | 29872 | 354 | 1.580 | 18906.3 |
1033 | 2025-06-26 06:44:24 | tier | 1 | 13983 | 18 | 1.283 | 10898.7 |
1032 | 2025-06-14 12:11:57 | tier | 1 | 13983 | 18 | 1.046 | 13368.1 |
1031 | 2025-06-13 23:06:22 | tier | 2 | 29872 | 354 | 4.233 | 7056.9 |
1030 | 2025-06-12 08:51:23 | tier | 1 | 13983 | 18 | 0.280 | 49939.3 |
1029 | 2025-06-09 10:16:13 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
1028 | 2025-06-01 14:56:05 | tier | 1 | 13983 | 18 | 0.936 | 14939.1 |
1027 | 2025-06-01 09:26:23 | tier | 1 | 13983 | 18 | 0.700 | 19975.7 |
1026 | 2025-05-30 19:59:12 | tier | 1 | 13983 | 18 | 0.690 | 20265.2 |
1025 | 2025-05-26 06:40:00 | tier | 1 | 13983 | 18 | 0.670 | 20870.1 |
1024 | 2025-05-25 09:15:28 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
1023 | 2025-05-23 10:37:59 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
1022 | 2025-05-20 15:10:47 | tier | 1 | 13983 | 18 | 1.673 | 8358.0 |
1021 | 2025-05-18 10:48:54 | tier | 1 | 13983 | 18 | 1.500 | 9322.0 |
1020 | 2025-05-17 15:58:25 | tier | 1 | 13983 | 18 | 0.703 | 19890.5 |
1019 | 2025-05-16 07:28:54 | tier | 1 | 13983 | 18 | 1.266 | 11045.0 |
1018 | 2025-05-14 13:10:53 | tier | 1 | 13983 | 18 | 0.690 | 20265.2 |
1017 | 2025-05-12 12:40:05 | tier | 1 | 13983 | 18 | 0.890 | 15711.2 |
1016 | 2025-05-12 09:41:28 | tier | 1 | 13983 | 18 | 0.670 | 20870.1 |
1015 | 2025-05-12 00:25:07 | tier | 1 | 13983 | 18 | 2.266 | 6170.8 |
1014 | 2025-05-11 01:39:17 | tier | 1 | 13983 | 18 | 0.953 | 14672.6 |
1013 | 2025-05-08 09:18:42 | tier | 1 | 13983 | 18 | 1.093 | 12793.2 |
1012 | 2025-05-05 08:07:50 | tier | 1 | 13983 | 18 | 1.390 | 10059.7 |
1011 | 2025-05-01 05:58:22 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
1010 | 2025-04-30 16:57:08 | tier | 1 | 13983 | 18 | 1.220 | 11461.5 |
1009 | 2025-04-29 20:00:48 | tier | 1 | 13983 | 18 | 0.280 | 49939.3 |
1008 | 2025-04-28 17:58:30 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
1007 | 2025-04-25 06:24:05 | tier | 1 | 13983 | 18 | 0.283 | 49409.9 |
1006 | 2025-04-24 11:50:05 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
1005 | 2025-04-14 12:04:25 | tier | 1 | 13983 | 18 | 0.983 | 14224.8 |
1004 | 2025-04-08 14:51:08 | tier | 1 | 13983 | 18 | 1.670 | 8373.1 |
1003 | 2025-04-06 11:29:40 | tier | 1 | 13983 | 18 | 1.263 | 11071.3 |
1002 | 2025-03-29 18:35:48 | tier | 1 | 13983 | 18 | 0.670 | 20870.1 |
1001 | 2025-03-28 21:07:54 | tier | 1 | 13983 | 18 | 0.686 | 20383.4 |
1000 | 2025-03-28 13:19:50 | tier | 1 | 13983 | 18 | 0.233 | 60012.9 |
999 | 2025-03-25 08:21:24 | tier | 1 | 13983 | 18 | 1.750 | 7990.3 |
998 | 2025-03-24 00:12:35 | tier | 1 | 13983 | 18 | 1.076 | 12995.4 |
997 | 2025-03-14 20:19:01 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
996 | 2025-03-12 08:56:43 | tier | 1 | 13983 | 18 | 0.343 | 40766.8 |
995 | 2025-03-10 09:14:21 | tier | 2 | 29872 | 354 | 3.920 | 7620.4 |
994 | 2025-03-10 08:23:35 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
993 | 2025-03-07 03:06:35 | tier | 2 | 29872 | 354 | 4.750 | 6288.8 |
992 | 2025-03-07 02:27:21 | tier | 1 | 13983 | 18 | 1.453 | 9623.5 |
991 | 2025-03-03 14:29:54 | tier | 1 | 13983 | 18 | 1.343 | 10411.8 |
990 | 2025-02-26 01:03:04 | tier | 1 | 13983 | 18 | 0.673 | 20777.1 |
989 | 2025-02-25 03:09:48 | tier | 2 | 29872 | 354 | 3.796 | 7869.3 |
988 | 2025-02-25 02:58:53 | tier | 2 | 29872 | 354 | 4.203 | 7107.3 |
987 | 2025-02-25 01:43:39 | tier | 2 | 29872 | 354 | 2.140 | 13958.9 |
986 | 2025-02-25 00:20:16 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
985 | 2025-02-23 02:52:46 | tier | 1 | 13983 | 18 | 0.563 | 24836.6 |
984 | 2025-02-15 09:51:35 | tier | 2 | 29872 | 354 | 2.580 | 11578.3 |
983 | 2025-02-04 22:58:06 | tier | 2 | 29872 | 354 | 6.330 | 4719.1 |
982 | 2025-02-04 22:11:55 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
981 | 2025-01-26 20:56:27 | tier | 1 | 13983 | 18 | 0.266 | 52567.7 |
980 | 2025-01-25 21:51:39 | tier | 2 | 29872 | 354 | 2.046 | 14600.2 |
979 | 2025-01-25 18:10:35 | tier | 2 | 29872 | 354 | 2.000 | 14936.0 |
978 | 2025-01-25 17:10:47 | tier | 2 | 29872 | 354 | 2.123 | 14070.7 |
977 | 2025-01-25 16:58:10 | tier | 1 | 13983 | 18 | 0.203 | 68881.8 |
976 | 2025-01-23 19:43:52 | tier | 1 | 13983 | 18 | 2.033 | 6878.0 |
975 | 2025-01-06 16:03:55 | tier | 1 | 13983 | 18 | 1.250 | 11186.4 |
974 | 2025-01-05 18:50:18 | tier | 1 | 13983 | 18 | 0.706 | 19805.9 |
973 | 2024-12-27 15:03:21 | tier | 1 | 13983 | 18 | 0.293 | 47723.5 |
972 | 2024-12-26 14:46:00 | tier | 1 | 13983 | 18 | 0.250 | 55932.0 |
971 | 2024-12-24 18:09:04 | tier | 1 | 13983 | 18 | 0.736 | 18998.6 |
970 | 2024-12-06 15:03:26 | tier | 2 | 29872 | 354 | 3.313 | 9016.6 |
969 | 2024-12-06 13:19:47 | tier | 2 | 29872 | 354 | 4.313 | 6926.0 |
968 | 2024-12-06 12:33:57 | tier | 1 | 13983 | 18 | 1.360 | 10281.6 |
967 | 2024-11-27 08:40:12 | tier | 1 | 13983 | 18 | 0.720 | 19420.8 |