History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"batches"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1070 | 2025-08-30 04:29:20 | batches | 1 | 69583 | 16 | 1.233 | 56433.9 |
1069 | 2025-08-28 03:22:33 | batches | 2 | 107671 | 114 | 3.423 | 31455.2 |
1068 | 2025-08-25 19:08:46 | batches | 1 | 69583 | 16 | 1.266 | 54962.9 |
1067 | 2025-08-24 18:57:27 | batches | 1 | 69583 | 16 | 4.080 | 17054.7 |
1066 | 2025-08-24 06:13:08 | batches | 1 | 69583 | 16 | 3.953 | 17602.6 |
1065 | 2025-08-23 09:56:00 | batches | 1 | 69583 | 16 | 8.546 | 8142.2 |
1064 | 2025-08-16 11:07:53 | batches | 1 | 69583 | 16 | 2.470 | 28171.3 |
1063 | 2025-08-11 03:10:25 | batches | 1 | 69583 | 16 | 1.093 | 63662.4 |
1062 | 2025-08-05 20:01:52 | batches | 2 | 107671 | 114 | 11.093 | 9706.2 |
1061 | 2025-08-02 17:49:45 | batches | 2 | 107671 | 114 | 16.093 | 6690.5 |
1060 | 2025-08-01 06:15:09 | batches | 1 | 69583 | 16 | 2.953 | 23563.5 |
1059 | 2025-08-01 02:20:15 | batches | 1 | 69583 | 16 | 2.970 | 23428.6 |
1058 | 2025-07-31 04:38:35 | batches | 1 | 69583 | 16 | 1.283 | 54234.6 |
1057 | 2025-07-25 04:31:19 | batches | 1 | 69583 | 16 | 5.500 | 12651.5 |
1056 | 2025-07-23 23:16:36 | batches | 1 | 69583 | 16 | 5.093 | 13662.5 |
1055 | 2025-07-23 17:31:23 | batches | 1 | 69583 | 16 | 5.846 | 11902.7 |
1054 | 2025-07-23 09:59:17 | batches | 1 | 69583 | 16 | 3.500 | 19880.9 |
1053 | 2025-07-22 19:34:56 | batches | 1 | 69583 | 16 | 3.173 | 21929.7 |
1052 | 2025-07-22 16:52:48 | batches | 1 | 69583 | 16 | 2.826 | 24622.4 |
1051 | 2025-07-22 16:07:00 | batches | 1 | 69583 | 16 | 7.813 | 8906.1 |
1050 | 2025-07-21 00:41:08 | batches | 2 | 107671 | 114 | 3.546 | 30364.1 |
1049 | 2025-07-17 18:09:30 | batches | 1 | 69583 | 16 | 6.000 | 11597.2 |
1048 | 2025-07-15 14:08:43 | batches | 1 | 69583 | 16 | 2.233 | 31161.2 |
1047 | 2025-07-15 13:01:50 | batches | 1 | 69583 | 16 | 2.843 | 24475.2 |
1046 | 2025-07-12 22:15:36 | batches | 1 | 69583 | 16 | 1.283 | 54234.6 |
1045 | 2025-07-11 20:06:41 | batches | 1 | 69583 | 16 | 8.736 | 7965.1 |
1044 | 2025-07-08 04:05:32 | batches | 2 | 107671 | 114 | 15.826 | 6803.4 |
1043 | 2025-07-08 00:44:04 | batches | 2 | 107671 | 114 | 24.033 | 4480.1 |
1042 | 2025-07-07 20:40:32 | batches | 1 | 69583 | 16 | 1.236 | 56296.9 |
1041 | 2025-07-05 03:18:06 | batches | 2 | 107671 | 114 | 16.203 | 6645.1 |
1040 | 2025-07-02 14:38:52 | batches | 1 | 69583 | 16 | 7.890 | 8819.1 |
1039 | 2025-07-02 05:05:53 | batches | 1 | 69583 | 16 | 3.953 | 17602.6 |
1038 | 2025-06-27 07:13:54 | batches | 1 | 69583 | 16 | 4.953 | 14048.7 |
1037 | 2025-06-24 16:47:47 | batches | 1 | 69583 | 16 | 4.093 | 17000.5 |
1036 | 2025-06-20 21:33:07 | batches | 1 | 69583 | 16 | 5.953 | 11688.7 |
1035 | 2025-06-20 02:04:54 | batches | 2 | 107671 | 114 | 18.266 | 5894.6 |
1034 | 2025-06-18 07:57:23 | batches | 1 | 69583 | 16 | 5.953 | 11688.7 |
1033 | 2025-06-18 00:25:18 | batches | 1 | 69583 | 16 | 5.033 | 13825.4 |
1032 | 2025-06-16 09:01:39 | batches | 1 | 69583 | 16 | 8.450 | 8234.7 |
1031 | 2025-06-11 12:23:30 | batches | 1 | 69583 | 16 | 6.186 | 11248.5 |
1030 | 2025-06-09 11:19:29 | batches | 1 | 69583 | 16 | 1.313 | 52995.4 |
1029 | 2025-06-05 06:28:38 | batches | 1 | 69583 | 16 | 2.890 | 24077.2 |
1028 | 2025-06-04 14:43:29 | batches | 1 | 69583 | 16 | 9.156 | 7599.7 |
1027 | 2025-06-03 19:38:42 | batches | 2 | 107671 | 114 | 3.500 | 30763.1 |
1026 | 2025-06-02 04:02:56 | batches | 1 | 69583 | 16 | 3.186 | 21840.2 |
1025 | 2025-06-01 13:45:41 | batches | 1 | 69583 | 16 | 4.813 | 14457.3 |
1024 | 2025-05-31 11:31:27 | batches | 1 | 69583 | 16 | 3.080 | 22591.9 |
1023 | 2025-05-22 03:28:39 | batches | 2 | 107671 | 114 | 12.970 | 8301.5 |
1022 | 2025-05-20 19:49:41 | batches | 1 | 69583 | 16 | 1.203 | 57841.2 |
1021 | 2025-05-20 00:20:29 | batches | 2 | 107671 | 114 | 11.783 | 9137.8 |
1020 | 2025-05-18 01:29:22 | batches | 2 | 107671 | 114 | 19.126 | 5629.6 |
1019 | 2025-05-17 04:28:01 | batches | 1 | 69583 | 16 | 5.813 | 11970.2 |
1018 | 2025-05-16 09:21:23 | batches | 1 | 69583 | 16 | 5.796 | 12005.3 |
1017 | 2025-05-05 04:09:58 | batches | 2 | 107671 | 114 | 3.296 | 32667.2 |
1016 | 2025-05-01 04:17:49 | batches | 1 | 69583 | 16 | 8.626 | 8066.7 |
1015 | 2025-04-29 13:45:25 | batches | 1 | 69583 | 16 | 4.906 | 14183.2 |
1014 | 2025-04-26 22:04:31 | batches | 1 | 69583 | 16 | 1.220 | 57035.2 |
1013 | 2025-04-24 20:51:47 | batches | 1 | 69583 | 16 | 1.250 | 55666.4 |
1012 | 2025-04-23 10:49:42 | batches | 1 | 69583 | 16 | 8.906 | 7813.0 |
1011 | 2025-04-19 19:25:11 | batches | 1 | 69583 | 16 | 2.750 | 25302.9 |
1010 | 2025-04-17 07:48:04 | batches | 1 | 69583 | 16 | 1.296 | 53690.6 |
1009 | 2025-04-16 00:56:08 | batches | 2 | 107671 | 114 | 8.860 | 12152.5 |
1008 | 2025-04-14 23:57:12 | batches | 2 | 107671 | 114 | 8.843 | 12175.8 |
1007 | 2025-04-14 14:22:34 | batches | 1 | 69583 | 16 | 3.783 | 18393.6 |
1006 | 2025-04-14 09:19:08 | batches | 1 | 69583 | 16 | 2.920 | 23829.8 |
1005 | 2025-04-14 02:43:59 | batches | 2 | 107671 | 114 | 8.843 | 12175.8 |
1004 | 2025-03-25 10:57:57 | batches | 1 | 69583 | 16 | 9.140 | 7613.0 |
1003 | 2025-03-19 20:38:26 | batches | 1 | 69583 | 16 | 5.063 | 13743.4 |
1002 | 2025-03-15 10:04:47 | batches | 1 | 69583 | 16 | 2.716 | 25619.7 |
1001 | 2025-03-15 09:59:14 | batches | 2 | 107671 | 114 | 17.033 | 6321.3 |
1000 | 2025-03-15 04:42:06 | batches | 1 | 69583 | 16 | 8.110 | 8579.9 |
999 | 2025-03-13 11:36:40 | batches | 1 | 69583 | 16 | 4.690 | 14836.5 |
998 | 2025-03-03 04:25:44 | batches | 1 | 69583 | 16 | 4.593 | 15149.8 |
997 | 2025-02-27 22:27:58 | batches | 1 | 69583 | 16 | 18.220 | 3819.0 |
996 | 2025-02-07 12:46:49 | batches | 1 | 69583 | 16 | 8.233 | 8451.7 |
995 | 2025-01-25 08:14:51 | batches | 1 | 69583 | 16 | 4.410 | 15778.5 |
994 | 2025-01-25 03:56:18 | batches | 1 | 69583 | 16 | 5.766 | 12067.8 |
993 | 2025-01-15 11:41:56 | batches | 1 | 69583 | 16 | 5.533 | 12576.0 |
992 | 2024-12-16 14:06:27 | batches | 1 | 69583 | 16 | 6.000 | 11597.2 |
991 | 2024-12-15 05:27:44 | batches | 1 | 69583 | 16 | 8.970 | 7757.3 |
990 | 2024-11-30 21:54:33 | batches | 1 | 69583 | 16 | 6.173 | 11272.2 |
989 | 2024-11-29 16:52:46 | batches | 1 | 69583 | 16 | 2.940 | 23667.7 |
988 | 2024-11-18 22:51:23 | batches | 1 | 69583 | 16 | 3.190 | 21812.9 |
987 | 2024-11-16 02:37:30 | batches | 2 | 107671 | 114 | 11.513 | 9352.1 |
986 | 2024-11-15 10:29:01 | batches | 2 | 107671 | 114 | 18.236 | 5904.3 |
985 | 2024-11-15 10:19:15 | batches | 1 | 69583 | 16 | 1.203 | 57841.2 |
984 | 2024-11-13 14:17:24 | batches | 1 | 69583 | 16 | 6.093 | 11420.2 |
983 | 2024-11-09 09:18:25 | batches | 1 | 69583 | 16 | 2.686 | 25905.8 |
982 | 2024-10-14 16:36:48 | batches | 1 | 69583 | 16 | 6.330 | 10992.6 |
981 | 2024-10-14 09:08:47 | batches | 1 | 69583 | 16 | 5.920 | 11753.9 |
980 | 2024-10-01 17:28:06 | batches | 2 | 107671 | 114 | 35.866 | 3002.0 |
979 | 2024-09-30 12:04:44 | batches | 2 | 107671 | 114 | 36.323 | 2964.3 |
978 | 2024-09-29 09:30:04 | batches | 2 | 107671 | 114 | 26.563 | 4053.4 |
977 | 2024-09-29 03:35:16 | batches | 2 | 107671 | 114 | 37.720 | 2854.5 |
976 | 2024-09-29 03:34:56 | batches | 1 | 69583 | 16 | 4.626 | 15041.7 |
975 | 2024-09-17 22:06:22 | batches | 1 | 69583 | 16 | 7.236 | 9616.2 |
974 | 2024-09-13 13:50:15 | batches | 1 | 69583 | 16 | 9.203 | 7560.9 |
973 | 2024-09-09 04:53:54 | batches | 1 | 69583 | 16 | 10.533 | 6606.2 |
972 | 2024-09-08 14:21:52 | batches | 1 | 69583 | 16 | 9.720 | 7158.7 |
971 | 2024-08-29 22:41:01 | batches | 1 | 69583 | 16 | 12.533 | 5552.0 |