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 |
| 1097 | 2025-10-31 10:47:56 | batches | 1 | 69583 | 16 | 1.156 | 60192.9 |
| 1096 | 2025-10-28 05:25:33 | batches | 1 | 69583 | 16 | 1.313 | 52995.4 |
| 1095 | 2025-10-25 21:40:22 | batches | 1 | 69583 | 16 | 1.296 | 53690.6 |
| 1094 | 2025-10-25 18:56:36 | batches | 1 | 69583 | 16 | 1.250 | 55666.4 |
| 1093 | 2025-10-25 08:58:34 | batches | 1 | 69583 | 16 | 1.283 | 54234.6 |
| 1092 | 2025-10-25 06:18:44 | batches | 1 | 69583 | 16 | 1.373 | 50679.5 |
| 1091 | 2025-10-19 14:37:39 | batches | 1 | 69583 | 16 | 1.186 | 58670.3 |
| 1090 | 2025-10-15 00:56:05 | batches | 1 | 69583 | 16 | 1.236 | 56296.9 |
| 1089 | 2025-10-14 15:42:14 | batches | 1 | 69583 | 16 | 1.283 | 54234.6 |
| 1088 | 2025-10-13 16:09:31 | batches | 1 | 69583 | 16 | 1.143 | 60877.5 |
| 1087 | 2025-10-07 02:28:18 | batches | 1 | 69583 | 16 | 1.156 | 60192.9 |
| 1086 | 2025-10-06 19:06:05 | batches | 1 | 69583 | 16 | 1.170 | 59472.6 |
| 1085 | 2025-10-05 10:00:58 | batches | 1 | 69583 | 16 | 1.313 | 52995.4 |
| 1084 | 2025-10-05 03:26:32 | batches | 1 | 69583 | 16 | 1.263 | 55093.4 |
| 1083 | 2025-09-30 00:28:24 | batches | 1 | 69583 | 16 | 1.266 | 54962.9 |
| 1082 | 2025-09-24 19:06:22 | batches | 1 | 69583 | 16 | 1.546 | 45008.4 |
| 1081 | 2025-09-24 08:36:08 | batches | 1 | 69583 | 16 | 1.216 | 57222.9 |
| 1080 | 2025-09-24 06:17:21 | batches | 1 | 69583 | 16 | 1.250 | 55666.4 |
| 1079 | 2025-09-21 08:24:58 | batches | 1 | 69583 | 16 | 1.110 | 62687.4 |
| 1078 | 2025-09-19 02:10:40 | batches | 1 | 69583 | 16 | 1.236 | 56296.9 |
| 1077 | 2025-09-18 14:48:22 | batches | 1 | 69583 | 16 | 1.250 | 55666.4 |
| 1076 | 2025-09-10 11:43:03 | batches | 2 | 107671 | 114 | 3.330 | 32333.6 |
| 1075 | 2025-09-09 14:12:50 | batches | 1 | 69583 | 16 | 1.110 | 62687.4 |
| 1074 | 2025-09-06 14:10:44 | batches | 1 | 69583 | 16 | 1.093 | 63662.4 |
| 1073 | 2025-09-06 02:01:31 | batches | 1 | 69583 | 16 | 1.156 | 60192.9 |
| 1072 | 2025-09-04 20:30:52 | batches | 1 | 69583 | 16 | 1.283 | 54234.6 |
| 1071 | 2025-09-04 06:31:14 | batches | 1 | 69583 | 16 | 1.250 | 55666.4 |
| 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 |