History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"means"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1117 | 2026-04-14 22:29:00 | means | 1 | 28756 | 16 | 0.843 | 34111.5 |
| 1116 | 2026-04-14 00:26:28 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
| 1115 | 2026-04-13 10:07:10 | means | 2 | 53800 | 264 | 3.953 | 13609.9 |
| 1114 | 2026-04-13 01:52:32 | means | 2 | 53800 | 264 | 6.736 | 7986.9 |
| 1113 | 2026-04-12 10:48:45 | means | 1 | 28756 | 16 | 3.436 | 8369.0 |
| 1112 | 2026-04-10 22:04:07 | means | 2 | 53800 | 264 | 4.123 | 13048.8 |
| 1111 | 2026-04-10 21:33:16 | means | 1 | 28756 | 16 | 2.513 | 11442.9 |
| 1110 | 2026-04-08 02:45:51 | means | 2 | 53800 | 264 | 8.156 | 6596.4 |
| 1109 | 2026-04-02 00:36:50 | means | 1 | 28756 | 16 | 2.173 | 13233.3 |
| 1108 | 2026-03-27 13:54:21 | means | 2 | 53800 | 264 | 7.013 | 7671.5 |
| 1107 | 2026-03-25 01:03:14 | means | 1 | 28756 | 16 | 1.453 | 19790.8 |
| 1106 | 2026-03-24 23:31:25 | means | 1 | 28756 | 16 | 2.890 | 9950.2 |
| 1105 | 2026-03-24 21:22:59 | means | 1 | 28756 | 16 | 1.440 | 19969.4 |
| 1104 | 2026-03-24 08:15:42 | means | 2 | 53800 | 264 | 8.126 | 6620.7 |
| 1103 | 2026-03-19 20:12:49 | means | 1 | 28756 | 16 | 2.156 | 13337.7 |
| 1102 | 2026-03-19 01:13:43 | means | 1 | 28756 | 16 | 1.846 | 15577.5 |
| 1101 | 2026-03-17 22:34:39 | means | 1 | 28756 | 16 | 1.626 | 17685.1 |
| 1100 | 2026-03-16 15:16:27 | means | 1 | 28756 | 16 | 1.373 | 20943.9 |
| 1099 | 2026-03-15 15:33:28 | means | 1 | 28756 | 16 | 1.186 | 24246.2 |
| 1098 | 2026-03-15 15:10:21 | means | 1 | 28756 | 16 | 3.563 | 8070.7 |
| 1097 | 2026-03-13 12:58:43 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1096 | 2026-03-12 07:03:32 | means | 1 | 28756 | 16 | 2.220 | 12953.2 |
| 1095 | 2026-03-11 04:12:29 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1094 | 2026-03-11 00:55:30 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
| 1093 | 2026-03-10 03:12:12 | means | 1 | 28756 | 16 | 0.720 | 39938.9 |
| 1092 | 2026-03-09 17:20:10 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
| 1091 | 2026-03-09 02:39:01 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
| 1090 | 2026-03-07 14:17:22 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
| 1089 | 2026-03-06 15:15:51 | means | 2 | 53800 | 264 | 5.656 | 9512.0 |
| 1088 | 2026-03-05 00:20:51 | means | 1 | 28756 | 16 | 0.450 | 63902.2 |
| 1087 | 2026-03-02 01:41:26 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 1086 | 2026-03-01 22:36:28 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
| 1085 | 2026-03-01 10:03:17 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1084 | 2026-02-27 12:50:01 | means | 1 | 28756 | 16 | 3.516 | 8178.6 |
| 1083 | 2026-02-26 01:43:24 | means | 1 | 28756 | 16 | 1.016 | 28303.1 |
| 1082 | 2026-02-23 19:14:40 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
| 1081 | 2026-02-22 20:29:38 | means | 2 | 53800 | 264 | 1.610 | 33416.1 |
| 1080 | 2026-02-22 19:49:58 | means | 1 | 28756 | 16 | 0.610 | 47141.0 |
| 1079 | 2026-02-22 01:49:01 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
| 1078 | 2026-02-13 06:53:16 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
| 1077 | 2026-02-11 00:24:25 | means | 1 | 28756 | 16 | 2.296 | 12524.4 |
| 1076 | 2026-02-09 05:20:08 | means | 1 | 28756 | 16 | 0.580 | 49579.3 |
| 1075 | 2026-02-05 11:25:32 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1074 | 2026-02-03 18:58:11 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1073 | 2026-02-01 04:02:52 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
| 1072 | 2026-01-29 19:57:33 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
| 1071 | 2026-01-28 10:21:26 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
| 1070 | 2026-01-27 10:47:01 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1069 | 2026-01-26 23:59:01 | means | 1 | 28756 | 16 | 1.783 | 16127.9 |
| 1068 | 2026-01-25 05:14:13 | means | 1 | 28756 | 16 | 1.000 | 28756.0 |
| 1067 | 2026-01-23 16:22:50 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1066 | 2026-01-18 03:45:51 | means | 1 | 28756 | 16 | 0.610 | 47141.0 |
| 1065 | 2026-01-08 02:52:28 | means | 1 | 28756 | 16 | 0.873 | 32939.3 |
| 1064 | 2025-12-28 21:27:04 | means | 1 | 28756 | 16 | 1.766 | 16283.1 |
| 1063 | 2025-12-28 17:56:57 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
| 1062 | 2025-12-19 14:54:35 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
| 1061 | 2025-12-18 08:43:58 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1060 | 2025-12-12 23:21:53 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1059 | 2025-12-09 03:09:52 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
| 1058 | 2025-12-01 01:03:37 | means | 2 | 53800 | 264 | 3.983 | 13507.4 |
| 1057 | 2025-11-24 12:41:48 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 1056 | 2025-11-20 20:25:58 | means | 1 | 28756 | 16 | 0.720 | 39938.9 |
| 1055 | 2025-11-20 03:29:29 | means | 1 | 28756 | 16 | 1.016 | 28303.1 |
| 1054 | 2025-11-16 20:51:41 | means | 1 | 28756 | 16 | 2.500 | 11502.4 |
| 1053 | 2025-11-16 00:24:18 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
| 1052 | 2025-10-24 13:50:32 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 1051 | 2025-10-19 13:46:29 | means | 2 | 53800 | 264 | 1.720 | 31279.1 |
| 1050 | 2025-10-19 12:53:23 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1049 | 2025-10-04 05:16:07 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1048 | 2025-09-27 22:53:36 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
| 1047 | 2025-09-27 22:43:06 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1046 | 2025-09-19 11:13:02 | means | 1 | 28756 | 16 | 1.016 | 28303.1 |
| 1045 | 2025-09-16 03:20:45 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1044 | 2025-09-12 19:43:03 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
| 1043 | 2025-09-10 22:12:47 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
| 1042 | 2025-09-09 12:08:17 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
| 1041 | 2025-09-07 00:58:41 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1040 | 2025-09-07 00:46:51 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1039 | 2025-09-06 05:03:39 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1038 | 2025-09-02 22:06:39 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
| 1037 | 2025-09-01 18:06:34 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 1036 | 2025-08-30 22:14:08 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1035 | 2025-08-30 14:34:06 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
| 1034 | 2025-08-27 09:10:41 | means | 1 | 28756 | 16 | 2.376 | 12102.7 |
| 1033 | 2025-08-27 07:16:02 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1032 | 2025-08-24 23:13:40 | means | 1 | 28756 | 16 | 1.296 | 22188.3 |
| 1031 | 2025-08-23 15:48:35 | means | 1 | 28756 | 16 | 1.376 | 20898.3 |
| 1030 | 2025-08-23 09:21:59 | means | 1 | 28756 | 16 | 2.046 | 14054.7 |
| 1029 | 2025-08-20 14:56:25 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
| 1028 | 2025-08-13 21:36:17 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1027 | 2025-08-11 07:57:03 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
| 1026 | 2025-08-09 00:55:28 | means | 1 | 28756 | 16 | 1.250 | 23004.8 |
| 1025 | 2025-08-03 06:04:33 | means | 2 | 53800 | 264 | 3.956 | 13599.6 |
| 1024 | 2025-07-31 11:06:45 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
| 1023 | 2025-07-31 03:20:44 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 1022 | 2025-07-25 23:42:05 | means | 2 | 53800 | 264 | 1.610 | 33416.1 |
| 1021 | 2025-07-23 23:35:07 | means | 1 | 28756 | 16 | 0.903 | 31845.0 |
| 1020 | 2025-07-23 17:33:14 | means | 1 | 28756 | 16 | 3.280 | 8767.1 |
| 1019 | 2025-07-23 11:19:08 | means | 1 | 28756 | 16 | 0.906 | 31739.5 |
| 1018 | 2025-07-23 06:52:24 | means | 1 | 28756 | 16 | 2.236 | 12860.5 |