History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"schmalziest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1128 | 2025-08-22 08:47:38 | schmalziest | 1 | 49908 | 2 | 0.890 | 56076.4 |
1127 | 2025-08-20 18:57:12 | schmalziest | 1 | 49908 | 2 | 0.783 | 63739.5 |
1126 | 2025-08-18 22:41:43 | schmalziest | 2 | 86808 | 6 | 6.516 | 13322.3 |
1125 | 2025-08-15 13:49:33 | schmalziest | 5 | 164607 | 431 | 38.440 | 4282.2 |
1124 | 2025-08-12 09:53:29 | schmalziest | 5 | 164607 | 431 | 74.113 | 2221.0 |
1123 | 2025-08-10 09:31:11 | schmalziest | 2 | 86808 | 6 | 9.470 | 9166.6 |
1122 | 2025-08-10 00:41:34 | schmalziest | 3 | 121633 | 15 | 24.050 | 5057.5 |
1121 | 2025-08-09 01:12:55 | schmalziest | 1 | 49908 | 2 | 5.373 | 9288.7 |
1120 | 2025-08-07 01:36:22 | schmalziest | 5 | 164607 | 431 | 88.486 | 1860.3 |
1119 | 2025-08-02 16:26:43 | schmalziest | 5 | 164607 | 431 | 60.220 | 2733.4 |
1118 | 2025-08-01 20:38:48 | schmalziest | 1 | 49908 | 2 | 4.250 | 11743.1 |
1117 | 2025-07-31 20:19:30 | schmalziest | 5 | 164607 | 431 | 96.333 | 1708.7 |
1116 | 2025-07-31 06:19:14 | schmalziest | 5 | 164607 | 431 | 39.796 | 4136.3 |
1115 | 2025-07-29 12:48:44 | schmalziest | 5 | 164607 | 431 | 40.626 | 4051.8 |
1114 | 2025-07-24 09:32:57 | schmalziest | 1 | 49908 | 2 | 2.000 | 24954.0 |
1113 | 2025-07-23 16:02:21 | schmalziest | 1 | 49908 | 2 | 1.686 | 29601.4 |
1112 | 2025-07-21 13:51:33 | schmalziest | 5 | 164607 | 431 | 23.390 | 7037.5 |
1111 | 2025-07-20 11:01:52 | schmalziest | 5 | 164607 | 431 | 29.406 | 5597.7 |
1110 | 2025-07-08 01:43:27 | schmalziest | 1 | 49908 | 2 | 3.610 | 13824.9 |
1109 | 2025-07-02 00:14:36 | schmalziest | 1 | 49908 | 2 | 4.716 | 10582.7 |
1108 | 2025-07-01 22:08:32 | schmalziest | 5 | 164607 | 431 | 89.130 | 1846.8 |
1107 | 2025-06-30 03:15:36 | schmalziest | 5 | 164607 | 431 | 92.283 | 1783.7 |
1106 | 2025-06-28 22:10:19 | schmalziest | 5 | 164607 | 431 | 81.550 | 2018.5 |
1105 | 2025-06-26 16:04:38 | schmalziest | 5 | 164607 | 431 | 84.220 | 1954.5 |
1104 | 2025-06-26 05:51:52 | schmalziest | 5 | 164607 | 431 | 80.566 | 2043.1 |
1103 | 2025-06-25 14:06:34 | schmalziest | 5 | 164607 | 431 | 40.020 | 4113.1 |
1102 | 2025-06-25 05:44:41 | schmalziest | 5 | 164607 | 431 | 79.003 | 2083.6 |
1101 | 2025-06-24 09:51:43 | schmalziest | 5 | 164607 | 431 | 70.800 | 2325.0 |
1100 | 2025-06-22 08:15:04 | schmalziest | 1 | 49908 | 2 | 4.126 | 12096.0 |
1099 | 2025-06-17 14:27:56 | schmalziest | 1 | 49908 | 2 | 0.830 | 60130.1 |
1098 | 2025-05-31 04:36:28 | schmalziest | 1 | 49908 | 2 | 4.546 | 10978.4 |
1097 | 2025-05-29 01:33:06 | schmalziest | 4 | 148819 | 69 | 27.876 | 5338.6 |
1096 | 2025-05-25 05:18:02 | schmalziest | 4 | 148819 | 69 | 25.030 | 5945.6 |
1095 | 2025-05-25 01:05:57 | schmalziest | 3 | 121633 | 15 | 5.330 | 22820.5 |
1094 | 2025-05-24 18:09:27 | schmalziest | 2 | 86808 | 6 | 5.873 | 14780.9 |
1093 | 2025-05-24 02:08:12 | schmalziest | 3 | 121633 | 15 | 32.783 | 3710.2 |
1092 | 2025-05-22 01:09:21 | schmalziest | 1 | 49908 | 2 | 3.563 | 14007.3 |
1091 | 2025-05-10 01:48:59 | schmalziest | 1 | 49908 | 2 | 3.110 | 16047.6 |
1090 | 2025-04-21 09:23:35 | schmalziest | 3 | 121633 | 15 | 15.346 | 7926.0 |
1089 | 2025-04-20 14:55:04 | schmalziest | 1 | 49908 | 2 | 2.560 | 19495.3 |
1088 | 2025-04-09 14:37:29 | schmalziest | 4 | 148819 | 69 | 35.360 | 4208.7 |
1087 | 2025-04-03 16:03:43 | schmalziest | 4 | 148819 | 69 | 48.753 | 3052.5 |
1086 | 2025-04-02 15:08:19 | schmalziest | 5 | 164607 | 431 | 77.706 | 2118.3 |
1085 | 2025-04-02 08:36:07 | schmalziest | 5 | 164607 | 431 | 44.690 | 3683.3 |
1084 | 2025-04-02 07:25:37 | schmalziest | 5 | 164607 | 431 | 78.533 | 2096.0 |
1083 | 2025-04-02 05:11:29 | schmalziest | 5 | 164607 | 431 | 68.130 | 2416.1 |
1082 | 2025-03-31 22:28:52 | schmalziest | 5 | 164607 | 431 | 73.090 | 2252.1 |
1081 | 2025-03-30 18:02:07 | schmalziest | 5 | 164607 | 431 | 15.313 | 10749.5 |
1080 | 2025-03-28 17:36:53 | schmalziest | 4 | 148819 | 69 | 8.953 | 16622.2 |
1079 | 2025-03-25 19:53:18 | schmalziest | 2 | 86808 | 6 | 2.376 | 36535.4 |
1078 | 2025-03-25 19:14:16 | schmalziest | 3 | 121633 | 15 | 13.703 | 8876.4 |
1077 | 2025-03-21 23:32:21 | schmalziest | 1 | 49908 | 2 | 1.580 | 31587.3 |
1076 | 2025-03-20 02:56:04 | schmalziest | 1 | 49908 | 2 | 5.516 | 9047.9 |
1075 | 2025-03-12 06:29:34 | schmalziest | 1 | 49908 | 2 | 4.126 | 12096.0 |
1074 | 2025-03-10 07:52:29 | schmalziest | 1 | 49908 | 2 | 6.016 | 8295.9 |
1073 | 2025-03-04 22:57:55 | schmalziest | 2 | 86808 | 6 | 17.546 | 4947.5 |
1072 | 2025-02-28 16:14:01 | schmalziest | 3 | 121633 | 15 | 32.126 | 3786.1 |
1071 | 2025-02-25 17:43:38 | schmalziest | 3 | 121633 | 15 | 5.330 | 22820.5 |
1070 | 2025-02-19 10:46:38 | schmalziest | 3 | 121633 | 15 | 26.143 | 4652.6 |
1069 | 2025-02-19 10:46:38 | schmalziest | 2 | 86808 | 6 | 14.000 | 6200.6 |
1068 | 2025-02-19 10:34:18 | schmalziest | 1 | 49908 | 2 | 0.906 | 55086.1 |
1067 | 2025-02-14 07:06:11 | schmalziest | 2 | 86808 | 6 | 11.860 | 7319.4 |
1066 | 2025-02-11 11:12:10 | schmalziest | 3 | 121633 | 15 | 23.516 | 5172.4 |
1065 | 2025-02-11 10:10:22 | schmalziest | 1 | 49908 | 2 | 0.860 | 58032.6 |
1064 | 2025-02-09 09:33:01 | schmalziest | 1 | 49908 | 2 | 4.923 | 10137.7 |
1063 | 2025-02-04 17:22:00 | schmalziest | 3 | 121633 | 15 | 24.140 | 5038.6 |
1062 | 2025-02-04 17:21:59 | schmalziest | 2 | 86808 | 6 | 11.876 | 7309.5 |
1061 | 2025-02-03 04:19:04 | schmalziest | 3 | 121633 | 15 | 34.273 | 3548.9 |
1060 | 2025-02-03 04:13:01 | schmalziest | 1 | 49908 | 2 | 3.936 | 12679.9 |
1059 | 2025-01-31 14:52:59 | schmalziest | 2 | 86808 | 6 | 7.830 | 11086.6 |
1058 | 2025-01-23 11:28:36 | schmalziest | 4 | 148819 | 69 | 64.940 | 2291.6 |
1057 | 2025-01-22 17:04:41 | schmalziest | 4 | 148819 | 69 | 52.393 | 2840.4 |
1056 | 2025-01-14 20:39:23 | schmalziest | 2 | 86808 | 6 | 10.440 | 8314.9 |
1055 | 2025-01-14 17:34:03 | schmalziest | 1 | 49908 | 2 | 5.843 | 8541.5 |
1054 | 2025-01-07 17:44:54 | schmalziest | 1 | 49908 | 2 | 5.860 | 8516.7 |
1053 | 2024-12-31 06:23:37 | schmalziest | 1 | 49908 | 2 | 3.926 | 12712.2 |
1052 | 2024-12-30 05:46:31 | schmalziest | 4 | 148819 | 69 | 49.723 | 2993.0 |
1051 | 2024-12-30 05:46:31 | schmalziest | 3 | 121633 | 15 | 28.796 | 4224.0 |
1050 | 2024-12-29 04:26:18 | schmalziest | 1 | 49908 | 2 | 1.563 | 31930.9 |
1049 | 2024-12-24 13:00:02 | schmalziest | 4 | 148819 | 69 | 53.313 | 2791.4 |
1048 | 2024-12-23 01:19:12 | schmalziest | 3 | 121633 | 15 | 14.703 | 8272.7 |
1047 | 2024-12-23 01:18:32 | schmalziest | 2 | 86808 | 6 | 11.093 | 7825.5 |
1046 | 2024-12-22 14:53:40 | schmalziest | 3 | 121633 | 15 | 20.203 | 6020.5 |
1045 | 2024-12-22 14:53:43 | schmalziest | 2 | 86808 | 6 | 11.000 | 7891.6 |
1044 | 2024-12-22 04:10:30 | schmalziest | 4 | 148819 | 69 | 47.673 | 3121.7 |
1043 | 2024-12-20 03:31:17 | schmalziest | 4 | 148819 | 69 | 45.503 | 3270.5 |
1042 | 2024-12-19 04:33:52 | schmalziest | 4 | 148819 | 69 | 44.940 | 3311.5 |
1041 | 2024-12-14 19:45:25 | schmalziest | 2 | 86808 | 6 | 10.530 | 8243.9 |
1040 | 2024-11-29 19:51:58 | schmalziest | 1 | 49908 | 2 | 4.233 | 11790.2 |
1039 | 2024-11-26 04:52:22 | schmalziest | 1 | 49908 | 2 | 3.766 | 13252.3 |
1038 | 2024-11-25 07:56:02 | schmalziest | 3 | 121633 | 15 | 27.413 | 4437.1 |
1037 | 2024-11-21 19:17:02 | schmalziest | 4 | 148819 | 69 | 49.503 | 3006.3 |
1036 | 2024-11-21 19:16:53 | schmalziest | 2 | 86808 | 6 | 11.826 | 7340.4 |
1035 | 2024-11-20 16:59:00 | schmalziest | 1 | 49908 | 2 | 2.986 | 16714.0 |
1034 | 2024-11-20 16:46:54 | schmalziest | 4 | 148819 | 69 | 9.300 | 16002.0 |
1033 | 2024-11-19 14:07:21 | schmalziest | 4 | 148819 | 69 | 36.580 | 4068.3 |
1032 | 2024-11-18 12:41:03 | schmalziest | 3 | 121633 | 15 | 20.063 | 6062.6 |
1031 | 2024-11-18 12:40:39 | schmalziest | 4 | 148819 | 69 | 40.020 | 3718.6 |
1030 | 2024-11-18 12:41:03 | schmalziest | 2 | 86808 | 6 | 14.640 | 5929.5 |
1029 | 2024-11-14 05:30:03 | schmalziest | 1 | 49908 | 2 | 4.000 | 12477.0 |