History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"skewness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
174 | 2024-04-04 03:37:52 | skewness | 3 | 146162 | 121 | 14.093 | 10371.2 |
173 | 2024-04-04 03:37:51 | skewness | 2 | 121059 | 9 | 3.890 | 31120.6 |
172 | 2024-04-02 22:47:52 | skewness | 3 | 146162 | 121 | 19.453 | 7513.6 |
171 | 2024-04-01 18:28:37 | skewness | 3 | 146162 | 121 | 8.623 | 16950.2 |
170 | 2024-04-01 11:50:26 | skewness | 1 | 82945 | 2 | 3.233 | 25655.7 |
169 | 2024-04-01 11:27:19 | skewness | 3 | 146162 | 121 | 15.030 | 9724.7 |
168 | 2024-04-01 11:26:37 | skewness | 2 | 121059 | 9 | 3.703 | 32692.1 |
167 | 2024-03-31 12:21:59 | skewness | 1 | 82945 | 2 | 1.513 | 54821.5 |
166 | 2024-03-31 12:21:17 | skewness | 2 | 121059 | 9 | 4.063 | 29795.5 |
165 | 2024-03-30 06:21:24 | skewness | 2 | 121059 | 9 | 13.000 | 9312.2 |
164 | 2024-03-30 05:12:40 | skewness | 1 | 82945 | 2 | 1.313 | 63172.1 |
163 | 2024-03-29 07:15:01 | skewness | 1 | 82945 | 2 | 2.280 | 36379.4 |
162 | 2024-03-03 06:39:40 | skewness | 3 | 146162 | 121 | 15.330 | 9534.4 |
161 | 2024-03-02 14:29:46 | skewness | 3 | 146162 | 121 | 27.016 | 5410.2 |
160 | 2024-03-02 07:16:51 | skewness | 3 | 146162 | 121 | 18.280 | 7995.7 |
159 | 2024-03-02 06:30:41 | skewness | 3 | 146162 | 121 | 14.236 | 10267.1 |
158 | 2024-03-02 06:30:42 | skewness | 2 | 121059 | 9 | 12.343 | 9807.9 |
157 | 2024-03-02 06:30:40 | skewness | 1 | 82945 | 2 | 3.156 | 26281.7 |
156 | 2024-02-05 23:41:21 | skewness | 2 | 121059 | 9 | 3.843 | 31501.2 |
155 | 2024-02-05 22:33:00 | skewness | 1 | 82945 | 2 | 1.423 | 58288.8 |
154 | 2024-02-02 02:49:05 | skewness | 1 | 82945 | 2 | 1.360 | 60989.0 |
153 | 2024-01-30 05:23:29 | skewness | 3 | 146162 | 121 | 12.623 | 11579.0 |
152 | 2024-01-29 04:41:48 | skewness | 2 | 121059 | 9 | 3.736 | 32403.4 |
151 | 2024-01-29 04:41:03 | skewness | 3 | 146162 | 121 | 6.216 | 23513.8 |
150 | 2024-01-28 19:41:39 | skewness | 3 | 146162 | 121 | 9.906 | 14754.9 |
149 | 2024-01-26 00:41:56 | skewness | 2 | 121059 | 9 | 3.080 | 39304.9 |
148 | 2024-01-21 05:23:20 | skewness | 2 | 121059 | 9 | 3.203 | 37795.5 |
147 | 2023-12-19 23:24:39 | skewness | 1 | 82945 | 2 | 1.280 | 64800.8 |
146 | 2023-12-13 22:39:32 | skewness | 1 | 82945 | 2 | 1.313 | 63172.1 |
145 | 2023-12-03 22:12:07 | skewness | 3 | 146162 | 121 | 9.236 | 15825.2 |
144 | 2023-11-22 05:07:43 | skewness | 1 | 82945 | 2 | 1.390 | 59672.7 |
143 | 2023-11-19 14:06:30 | skewness | 1 | 82945 | 2 | 1.280 | 64800.8 |
142 | 2023-11-18 03:57:15 | skewness | 1 | 82945 | 2 | 1.360 | 60989.0 |
141 | 2023-11-06 09:36:21 | skewness | 3 | 146162 | 121 | 6.000 | 24360.3 |
140 | 2023-11-05 22:00:18 | skewness | 2 | 121059 | 9 | 3.403 | 35574.2 |
139 | 2023-10-17 15:54:03 | skewness | 1 | 82945 | 2 | 3.563 | 23279.5 |
138 | 2023-10-10 19:15:07 | skewness | 1 | 82945 | 2 | 1.346 | 61623.3 |
137 | 2023-10-06 09:46:18 | skewness | 1 | 82945 | 2 | 4.796 | 17294.6 |
136 | 2023-08-15 03:04:13 | skewness | 3 | 146162 | 121 | 6.046 | 24175.0 |
135 | 2023-08-10 14:55:21 | skewness | 2 | 121059 | 9 | 3.373 | 35890.6 |
134 | 2023-08-03 10:37:21 | skewness | 1 | 82945 | 2 | 1.346 | 61623.3 |
133 | 2023-06-04 03:26:36 | skewness | 1 | 82945 | 2 | 1.376 | 60279.8 |
132 | 2023-05-05 12:15:44 | skewness | 1 | 82945 | 2 | 1.343 | 61761.0 |
131 | 2023-04-27 09:12:01 | skewness | 1 | 82945 | 2 | 1.346 | 61623.3 |
130 | 2023-04-24 04:59:43 | skewness | 3 | 146162 | 121 | 5.903 | 24760.6 |
129 | 2023-04-21 23:57:27 | skewness | 2 | 121059 | 9 | 3.063 | 39523.0 |
128 | 2023-03-28 05:21:36 | skewness | 1 | 82945 | 2 | 1.393 | 59544.1 |
127 | 2023-02-25 22:11:03 | skewness | 1 | 82945 | 2 | 1.250 | 66356.0 |
126 | 2023-02-17 22:25:34 | skewness | 1 | 82945 | 2 | 1.250 | 66356.0 |
125 | 2023-01-27 02:56:30 | skewness | 3 | 146162 | 121 | 7.000 | 20880.3 |
124 | 2023-01-25 17:03:23 | skewness | 2 | 121059 | 9 | 3.080 | 39304.9 |
123 | 2022-12-16 04:07:59 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
122 | 2022-11-09 07:40:17 | skewness | 3 | 146162 | 121 | 6.080 | 24039.8 |
121 | 2022-11-05 22:10:26 | skewness | 2 | 121059 | 9 | 3.250 | 37248.9 |
120 | 2022-10-18 19:10:15 | skewness | 1 | 82945 | 2 | 1.266 | 65517.4 |
119 | 2022-08-22 13:56:36 | skewness | 1 | 82945 | 2 | 1.263 | 65673.0 |
118 | 2022-06-06 08:10:45 | skewness | 1 | 82945 | 2 | 1.266 | 65517.4 |
117 | 2022-05-25 18:35:30 | skewness | 3 | 146162 | 121 | 6.046 | 24175.0 |
116 | 2022-05-16 16:49:39 | skewness | 2 | 121059 | 9 | 3.220 | 37596.0 |
115 | 2022-03-11 13:05:09 | skewness | 1 | 82945 | 2 | 1.300 | 63803.8 |
114 | 2022-03-09 10:17:44 | skewness | 1 | 82945 | 2 | 1.423 | 58288.8 |
113 | 2022-01-26 04:27:21 | skewness | 1 | 82945 | 2 | 1.263 | 65673.0 |
112 | 2022-01-16 09:45:46 | skewness | 3 | 146162 | 121 | 7.423 | 19690.4 |
111 | 2021-12-24 00:28:21 | skewness | 1 | 82945 | 2 | 1.483 | 55930.5 |
110 | 2021-12-21 21:24:50 | skewness | 1 | 82945 | 2 | 1.516 | 54713.1 |
109 | 2021-09-26 18:33:06 | skewness | 1 | 82945 | 2 | 2.876 | 28840.4 |
108 | 2021-06-20 13:54:10 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
107 | 2021-05-12 22:32:52 | skewness | 1 | 82945 | 2 | 1.500 | 55296.7 |
106 | 2021-04-11 18:10:58 | skewness | 1 | 82945 | 2 | 1.420 | 58412.0 |
105 | 2021-03-18 00:32:55 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
104 | 2021-02-18 17:52:45 | skewness | 1 | 82945 | 2 | 1.436 | 57761.1 |
103 | 2020-12-15 01:33:00 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
102 | 2020-11-07 01:26:34 | skewness | 1 | 82945 | 2 | 1.326 | 62552.8 |
101 | 2020-10-25 00:25:06 | skewness | 1 | 82945 | 2 | 1.280 | 64800.8 |
100 | 2020-10-18 23:08:09 | skewness | 1 | 82945 | 2 | 1.283 | 64649.3 |
99 | 2020-09-04 18:30:50 | skewness | 1 | 82945 | 2 | 1.440 | 57600.7 |
98 | 2020-05-27 10:40:19 | skewness | 1 | 82945 | 2 | 1.373 | 60411.5 |
97 | 2020-03-24 06:15:49 | skewness | 1 | 82945 | 2 | 1.500 | 55296.7 |
96 | 2020-03-04 14:26:52 | skewness | 1 | 82945 | 2 | 1.720 | 48223.8 |
95 | 2020-03-01 05:53:36 | skewness | 1 | 82945 | 2 | 3.060 | 27106.2 |
94 | 2020-02-25 07:34:48 | skewness | 1 | 82945 | 2 | 3.190 | 26001.6 |
93 | 2020-02-24 18:47:43 | skewness | 1 | 82945 | 2 | 4.470 | 18555.9 |
92 | 2020-02-19 19:01:47 | skewness | 1 | 82945 | 2 | 1.593 | 52068.4 |
91 | 2020-02-15 10:46:14 | skewness | 1 | 82945 | 2 | 1.310 | 63316.8 |
90 | 2020-02-01 07:14:39 | skewness | 1 | 82945 | 2 | 3.030 | 27374.6 |
89 | 2020-01-29 01:39:47 | skewness | 1 | 82945 | 2 | 1.516 | 54713.1 |
88 | 2020-01-28 11:49:03 | skewness | 1 | 82945 | 2 | 1.280 | 64800.8 |
87 | 2020-01-27 20:04:46 | skewness | 1 | 82945 | 2 | 2.516 | 32967.0 |
86 | 2020-01-27 08:10:25 | skewness | 1 | 82945 | 2 | 1.623 | 51106.0 |
85 | 2020-01-24 17:57:53 | skewness | 1 | 82945 | 2 | 2.890 | 28700.7 |
84 | 2020-01-17 19:49:15 | skewness | 1 | 82945 | 2 | 1.703 | 48705.2 |
83 | 2020-01-17 17:11:11 | skewness | 1 | 82945 | 2 | 3.186 | 26034.2 |
82 | 2020-01-12 06:53:14 | skewness | 1 | 82945 | 2 | 1.670 | 49667.7 |
81 | 2020-01-01 19:20:12 | skewness | 1 | 82945 | 2 | 1.563 | 53067.8 |
80 | 2019-12-30 17:06:30 | skewness | 1 | 82945 | 2 | 1.406 | 58993.6 |
79 | 2019-11-15 13:45:13 | skewness | 1 | 82945 | 2 | 1.310 | 63316.8 |
78 | 2019-08-14 04:33:58 | skewness | 1 | 82945 | 2 | 1.196 | 69352.0 |
77 | 2019-05-01 18:39:01 | skewness | 1 | 82945 | 2 | 1.333 | 62224.3 |
76 | 2019-01-05 18:06:20 | skewness | 1 | 82945 | 2 | 1.380 | 60105.1 |
75 | 2018-09-05 15:54:37 | skewness | 1 | 82945 | 2 | 1.413 | 58701.3 |