History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trisectors"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
189 | 2024-05-02 19:06:05 | trisectors | 2 | 108824 | 6 | 2.970 | 36641.1 |
188 | 2024-04-27 23:19:21 | trisectors | 3 | 140603 | 33 | 9.956 | 14122.4 |
187 | 2024-04-27 23:19:16 | trisectors | 2 | 108824 | 6 | 5.423 | 20067.1 |
186 | 2024-04-27 23:18:48 | trisectors | 1 | 67641 | 2 | 1.890 | 35788.9 |
185 | 2024-04-24 14:59:47 | trisectors | 1 | 67641 | 2 | 3.736 | 18105.2 |
184 | 2024-04-20 07:10:04 | trisectors | 4 | 161450 | 176 | 36.253 | 4453.4 |
183 | 2024-04-20 02:45:06 | trisectors | 4 | 161450 | 176 | 28.656 | 5634.1 |
182 | 2024-04-20 02:45:06 | trisectors | 3 | 140603 | 33 | 23.096 | 6087.8 |
181 | 2024-04-20 02:45:06 | trisectors | 2 | 108824 | 6 | 8.550 | 12728.0 |
180 | 2024-04-20 02:43:48 | trisectors | 1 | 67641 | 2 | 1.280 | 52844.5 |
179 | 2024-04-19 14:49:41 | trisectors | 1 | 67641 | 2 | 1.063 | 63632.2 |
178 | 2024-04-13 15:13:13 | trisectors | 1 | 67641 | 2 | 1.126 | 60071.9 |
177 | 2024-04-05 22:47:57 | trisectors | 1 | 67641 | 2 | 2.470 | 27385.0 |
176 | 2024-03-14 18:48:07 | trisectors | 3 | 140603 | 33 | 24.160 | 5819.7 |
175 | 2024-03-14 05:07:01 | trisectors | 3 | 140603 | 33 | 22.423 | 6270.5 |
174 | 2024-03-14 05:06:52 | trisectors | 4 | 161450 | 176 | 24.953 | 6470.2 |
173 | 2024-03-14 05:06:47 | trisectors | 2 | 108824 | 6 | 3.673 | 29628.1 |
172 | 2024-03-14 05:01:46 | trisectors | 1 | 67641 | 2 | 1.406 | 48108.8 |
171 | 2024-03-10 07:03:25 | trisectors | 1 | 67641 | 2 | 3.876 | 17451.2 |
170 | 2024-03-07 17:41:07 | trisectors | 1 | 67641 | 2 | 2.000 | 33820.5 |
169 | 2024-03-06 10:22:22 | trisectors | 1 | 67641 | 2 | 1.310 | 51634.4 |
168 | 2024-03-06 10:22:17 | trisectors | 1 | 67641 | 2 | 1.250 | 54112.8 |
167 | 2024-02-18 00:54:22 | trisectors | 3 | 140603 | 33 | 7.923 | 17746.2 |
166 | 2024-02-15 12:02:07 | trisectors | 3 | 140603 | 33 | 5.626 | 24991.6 |
165 | 2024-02-04 03:13:50 | trisectors | 1 | 67641 | 2 | 1.140 | 59334.2 |
164 | 2024-02-04 03:13:45 | trisectors | 1 | 67641 | 2 | 1.156 | 58513.0 |
163 | 2024-01-30 18:07:26 | trisectors | 1 | 67641 | 2 | 1.140 | 59334.2 |
162 | 2024-01-28 23:13:14 | trisectors | 4 | 161450 | 176 | 11.140 | 14492.8 |
161 | 2024-01-07 12:24:37 | trisectors | 1 | 67641 | 2 | 1.126 | 60071.9 |
160 | 2024-01-03 18:13:37 | trisectors | 1 | 67641 | 2 | 1.016 | 66575.8 |
159 | 2023-12-31 08:53:02 | trisectors | 1 | 67641 | 2 | 1.046 | 64666.3 |
158 | 2023-12-29 08:40:27 | trisectors | 1 | 67641 | 2 | 1.046 | 64666.3 |
157 | 2023-12-25 04:36:19 | trisectors | 2 | 108824 | 6 | 2.783 | 39103.1 |
156 | 2023-11-23 16:07:20 | trisectors | 4 | 161450 | 176 | 10.500 | 15376.2 |
155 | 2023-11-17 09:05:05 | trisectors | 3 | 140603 | 33 | 5.686 | 24727.9 |
154 | 2023-11-14 12:50:26 | trisectors | 4 | 161450 | 176 | 12.080 | 13365.1 |
153 | 2023-11-07 13:05:55 | trisectors | 4 | 161450 | 176 | 11.533 | 13999.0 |
152 | 2023-10-23 08:37:57 | trisectors | 1 | 67641 | 2 | 1.173 | 57665.0 |
151 | 2023-10-17 22:49:11 | trisectors | 1 | 67641 | 2 | 1.953 | 34634.4 |
150 | 2023-10-17 10:57:20 | trisectors | 1 | 67641 | 2 | 1.623 | 41676.5 |
149 | 2023-09-25 17:55:10 | trisectors | 2 | 108824 | 6 | 3.126 | 34812.5 |
148 | 2023-08-18 10:22:55 | trisectors | 3 | 140603 | 33 | 5.533 | 25411.7 |
147 | 2023-08-15 22:05:12 | trisectors | 4 | 161450 | 176 | 10.140 | 15922.1 |
146 | 2023-08-13 17:39:49 | trisectors | 1 | 67641 | 2 | 1.030 | 65670.9 |
145 | 2023-08-04 20:46:13 | trisectors | 1 | 67641 | 2 | 1.110 | 60937.8 |
144 | 2023-07-06 06:20:42 | trisectors | 2 | 108824 | 6 | 2.626 | 41441.0 |
143 | 2023-06-13 21:05:21 | trisectors | 4 | 161450 | 176 | 9.796 | 16481.2 |
142 | 2023-05-12 15:44:52 | trisectors | 1 | 67641 | 2 | 0.983 | 68810.8 |
141 | 2023-05-11 17:39:46 | trisectors | 4 | 161450 | 176 | 10.516 | 15352.8 |
140 | 2023-05-03 16:35:29 | trisectors | 3 | 140603 | 33 | 5.393 | 26071.4 |
139 | 2023-04-22 18:41:18 | trisectors | 4 | 161450 | 176 | 9.780 | 16508.2 |
138 | 2023-03-27 10:00:40 | trisectors | 2 | 108824 | 6 | 3.143 | 34624.2 |
137 | 2023-03-15 07:05:51 | trisectors | 1 | 67641 | 2 | 1.093 | 61885.6 |
136 | 2023-03-08 22:17:02 | trisectors | 1 | 67641 | 2 | 0.966 | 70021.7 |
135 | 2023-02-10 08:27:42 | trisectors | 3 | 140603 | 33 | 11.563 | 12159.7 |
134 | 2023-01-27 22:59:35 | trisectors | 4 | 161450 | 176 | 9.873 | 16352.7 |
133 | 2023-01-11 12:25:33 | trisectors | 4 | 161450 | 176 | 11.470 | 14075.9 |
132 | 2022-12-30 15:44:34 | trisectors | 1 | 67641 | 2 | 0.970 | 69733.0 |
131 | 2022-12-24 08:03:58 | trisectors | 2 | 108824 | 6 | 2.750 | 39572.4 |
130 | 2022-12-12 01:22:53 | trisectors | 4 | 161450 | 176 | 10.970 | 14717.4 |
129 | 2022-11-21 13:11:15 | trisectors | 3 | 140603 | 33 | 6.156 | 22840.0 |
128 | 2022-11-08 19:37:40 | trisectors | 4 | 161450 | 176 | 10.516 | 15352.8 |
127 | 2022-10-15 14:19:18 | trisectors | 1 | 67641 | 2 | 1.000 | 67641.0 |
126 | 2022-09-16 14:36:24 | trisectors | 1 | 67641 | 2 | 1.093 | 61885.6 |
125 | 2022-08-23 23:37:46 | trisectors | 2 | 108824 | 6 | 2.640 | 41221.2 |
124 | 2022-06-25 01:58:46 | trisectors | 3 | 140603 | 33 | 5.423 | 25927.2 |
123 | 2022-05-14 08:42:01 | trisectors | 1 | 67641 | 2 | 1.033 | 65480.2 |
122 | 2022-05-10 22:46:38 | trisectors | 1 | 67641 | 2 | 1.013 | 66773.0 |
121 | 2022-05-09 19:27:47 | trisectors | 4 | 161450 | 176 | 10.140 | 15922.1 |
120 | 2022-04-24 09:39:41 | trisectors | 1 | 67641 | 2 | 1.030 | 65670.9 |
119 | 2022-01-28 17:41:50 | trisectors | 1 | 67641 | 2 | 1.046 | 64666.3 |
118 | 2022-01-22 21:42:12 | trisectors | 1 | 67641 | 2 | 1.156 | 58513.0 |
117 | 2021-12-24 20:11:35 | trisectors | 1 | 67641 | 2 | 1.033 | 65480.2 |
116 | 2021-12-21 15:38:07 | trisectors | 1 | 67641 | 2 | 1.190 | 56841.2 |
115 | 2021-08-12 11:19:15 | trisectors | 1 | 67641 | 2 | 1.186 | 57032.9 |
114 | 2021-04-20 09:41:39 | trisectors | 1 | 67641 | 2 | 1.080 | 62630.6 |
113 | 2021-03-28 17:54:29 | trisectors | 1 | 67641 | 2 | 1.063 | 63632.2 |
112 | 2021-01-11 22:02:27 | trisectors | 1 | 67641 | 2 | 1.063 | 63632.2 |
111 | 2020-12-30 05:02:37 | trisectors | 1 | 67641 | 2 | 1.160 | 58311.2 |
110 | 2020-11-13 01:26:21 | trisectors | 1 | 67641 | 2 | 1.406 | 48108.8 |
109 | 2020-10-25 02:14:27 | trisectors | 1 | 67641 | 2 | 1.000 | 67641.0 |
108 | 2020-09-26 21:47:42 | trisectors | 1 | 67641 | 2 | 1.123 | 60232.4 |
107 | 2020-09-04 17:47:33 | trisectors | 1 | 67641 | 2 | 1.110 | 60937.8 |
106 | 2020-05-21 21:14:30 | trisectors | 1 | 67641 | 2 | 1.046 | 64666.3 |
105 | 2020-05-18 17:48:08 | trisectors | 1 | 67641 | 2 | 1.000 | 67641.0 |
104 | 2020-03-24 21:29:45 | trisectors | 1 | 67641 | 2 | 1.156 | 58513.0 |
103 | 2020-03-05 23:03:18 | trisectors | 1 | 67641 | 2 | 2.326 | 29080.4 |
102 | 2020-02-17 17:42:59 | trisectors | 1 | 67641 | 2 | 1.250 | 54112.8 |
101 | 2020-02-12 18:46:50 | trisectors | 3 | 140603 | 33 | 8.420 | 16698.7 |
100 | 2020-02-08 16:48:37 | trisectors | 4 | 161450 | 176 | 22.406 | 7205.7 |
99 | 2020-02-08 15:29:23 | trisectors | 4 | 161450 | 176 | 12.906 | 12509.7 |
98 | 2020-02-05 20:20:13 | trisectors | 4 | 161450 | 176 | 15.796 | 10220.9 |
97 | 2020-02-05 12:50:23 | trisectors | 4 | 161450 | 176 | 15.093 | 10697.0 |
96 | 2020-02-05 12:48:59 | trisectors | 3 | 140603 | 33 | 7.690 | 18283.9 |
95 | 2020-02-05 12:47:49 | trisectors | 2 | 108824 | 6 | 7.156 | 15207.4 |
94 | 2020-02-05 06:54:16 | trisectors | 1 | 67641 | 2 | 3.780 | 17894.4 |
93 | 2020-01-31 14:33:04 | trisectors | 1 | 67641 | 2 | 1.156 | 58513.0 |
92 | 2020-01-31 07:59:08 | trisectors | 1 | 67641 | 2 | 2.593 | 26086.0 |
91 | 2020-01-29 08:31:22 | trisectors | 1 | 67641 | 2 | 1.330 | 50857.9 |
90 | 2020-01-26 04:31:25 | trisectors | 1 | 67641 | 2 | 1.096 | 61716.2 |