History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"multilayer"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
198 | 2024-05-21 22:55:12 | multilayer | 1 | 67641 | 2 | 4.033 | 16771.9 |
197 | 2024-05-17 14:02:01 | multilayer | 4 | 161450 | 128 | 32.486 | 4969.8 |
196 | 2024-05-15 19:50:12 | multilayer | 4 | 161450 | 128 | 28.580 | 5649.1 |
195 | 2024-05-15 08:25:41 | multilayer | 1 | 67641 | 2 | 1.173 | 57665.0 |
194 | 2024-05-14 20:51:05 | multilayer | 1 | 67641 | 2 | 1.216 | 55625.8 |
193 | 2024-05-14 04:24:22 | multilayer | 1 | 67641 | 2 | 1.060 | 63812.3 |
192 | 2024-05-13 19:56:40 | multilayer | 3 | 140603 | 26 | 20.720 | 6785.9 |
191 | 2024-05-13 19:56:39 | multilayer | 4 | 161450 | 128 | 18.390 | 8779.2 |
190 | 2024-05-13 19:56:40 | multilayer | 2 | 108824 | 5 | 7.406 | 14694.0 |
189 | 2024-05-13 19:53:33 | multilayer | 1 | 67641 | 2 | 2.626 | 25758.2 |
188 | 2024-05-05 15:38:52 | multilayer | 1 | 67641 | 2 | 1.140 | 59334.2 |
187 | 2024-05-05 15:38:37 | multilayer | 1 | 67641 | 2 | 1.140 | 59334.2 |
186 | 2024-04-30 22:57:25 | multilayer | 1 | 67641 | 2 | 2.233 | 30291.5 |
185 | 2024-04-12 03:22:30 | multilayer | 4 | 161450 | 128 | 33.630 | 4800.8 |
184 | 2024-04-10 18:09:06 | multilayer | 4 | 161450 | 128 | 35.063 | 4604.6 |
183 | 2024-04-07 10:26:11 | multilayer | 3 | 140603 | 26 | 16.516 | 8513.1 |
182 | 2024-04-06 14:10:06 | multilayer | 1 | 67641 | 2 | 2.593 | 26086.0 |
181 | 2024-04-06 14:08:01 | multilayer | 3 | 140603 | 26 | 16.550 | 8495.6 |
180 | 2024-04-06 14:07:56 | multilayer | 2 | 108824 | 5 | 7.233 | 15045.5 |
179 | 2024-04-05 10:05:07 | multilayer | 1 | 67641 | 2 | 2.563 | 26391.3 |
178 | 2024-04-04 17:13:10 | multilayer | 4 | 161450 | 128 | 26.363 | 6124.1 |
177 | 2024-04-04 10:16:41 | multilayer | 4 | 161450 | 128 | 26.906 | 6000.5 |
176 | 2024-04-04 10:16:39 | multilayer | 3 | 140603 | 26 | 15.483 | 9081.1 |
175 | 2024-04-04 10:16:41 | multilayer | 2 | 108824 | 5 | 6.720 | 16194.0 |
174 | 2024-04-04 09:44:51 | multilayer | 1 | 67641 | 2 | 2.393 | 28266.2 |
173 | 2024-03-24 16:08:41 | multilayer | 1 | 67641 | 2 | 3.736 | 18105.2 |
172 | 2024-03-19 04:01:28 | multilayer | 2 | 108824 | 5 | 7.830 | 13898.3 |
171 | 2024-03-06 17:07:11 | multilayer | 1 | 67641 | 2 | 1.280 | 52844.5 |
170 | 2024-03-05 11:27:33 | multilayer | 1 | 67641 | 2 | 1.153 | 58665.2 |
169 | 2024-03-04 10:56:56 | multilayer | 1 | 67641 | 2 | 2.123 | 31861.0 |
168 | 2024-03-03 09:13:25 | multilayer | 1 | 67641 | 2 | 2.326 | 29080.4 |
167 | 2024-02-20 02:12:16 | multilayer | 1 | 67641 | 2 | 2.546 | 26567.6 |
166 | 2024-02-02 21:05:37 | multilayer | 1 | 67641 | 2 | 1.093 | 61885.6 |
165 | 2024-01-31 06:55:43 | multilayer | 1 | 67641 | 2 | 1.110 | 60937.8 |
164 | 2024-01-31 06:55:43 | multilayer | 1 | 67641 | 2 | 1.110 | 60937.8 |
163 | 2024-01-27 20:59:24 | multilayer | 1 | 67641 | 2 | 0.983 | 68810.8 |
162 | 2023-12-24 15:15:16 | multilayer | 4 | 161450 | 128 | 11.296 | 14292.7 |
161 | 2023-12-24 15:15:14 | multilayer | 3 | 140603 | 26 | 6.610 | 21271.3 |
160 | 2023-12-24 15:15:13 | multilayer | 2 | 108824 | 5 | 3.283 | 33147.7 |
159 | 2023-12-20 04:17:39 | multilayer | 1 | 67641 | 2 | 1.173 | 57665.0 |
158 | 2023-11-30 22:20:53 | multilayer | 1 | 67641 | 2 | 1.016 | 66575.8 |
157 | 2023-11-30 18:52:49 | multilayer | 2 | 108824 | 5 | 2.796 | 38921.3 |
156 | 2023-11-22 08:17:14 | multilayer | 1 | 67641 | 2 | 1.080 | 62630.6 |
155 | 2023-11-12 19:24:01 | multilayer | 1 | 67641 | 2 | 1.140 | 59334.2 |
154 | 2023-11-02 03:21:36 | multilayer | 1 | 67641 | 2 | 1.090 | 62056.0 |
153 | 2023-09-27 08:28:39 | multilayer | 1 | 67641 | 2 | 1.063 | 63632.2 |
152 | 2023-09-08 18:34:41 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
151 | 2023-08-29 13:22:35 | multilayer | 2 | 108824 | 5 | 2.533 | 42962.5 |
150 | 2023-06-14 22:07:24 | multilayer | 1 | 67641 | 2 | 1.030 | 65670.9 |
149 | 2023-05-17 16:01:21 | multilayer | 2 | 108824 | 5 | 2.576 | 42245.3 |
148 | 2023-05-14 20:08:21 | multilayer | 1 | 67641 | 2 | 1.046 | 64666.3 |
147 | 2023-04-01 01:23:16 | multilayer | 1 | 67641 | 2 | 0.970 | 69733.0 |
146 | 2023-02-25 07:15:19 | multilayer | 2 | 108824 | 5 | 2.546 | 42743.1 |
145 | 2023-01-14 03:27:17 | multilayer | 1 | 67641 | 2 | 0.970 | 69733.0 |
144 | 2022-12-30 05:49:21 | multilayer | 1 | 67641 | 2 | 0.986 | 68601.4 |
143 | 2022-12-06 13:43:54 | multilayer | 2 | 108824 | 5 | 2.780 | 39145.3 |
142 | 2022-10-29 16:46:10 | multilayer | 1 | 67641 | 2 | 0.970 | 69733.0 |
141 | 2022-08-06 02:50:54 | multilayer | 1 | 67641 | 2 | 1.093 | 61885.6 |
140 | 2022-07-14 10:55:37 | multilayer | 2 | 108824 | 5 | 2.563 | 42459.6 |
139 | 2022-06-18 06:38:20 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
138 | 2022-03-15 03:08:09 | multilayer | 1 | 67641 | 2 | 1.466 | 46139.8 |
137 | 2022-03-10 04:17:00 | multilayer | 2 | 108824 | 5 | 3.110 | 34991.6 |
136 | 2022-02-23 12:41:39 | multilayer | 1 | 67641 | 2 | 1.356 | 49882.7 |
135 | 2021-12-25 06:01:20 | multilayer | 1 | 67641 | 2 | 1.143 | 59178.5 |
134 | 2021-11-07 22:21:15 | multilayer | 1 | 67641 | 2 | 1.266 | 53428.9 |
133 | 2021-09-13 21:53:57 | multilayer | 1 | 67641 | 2 | 1.046 | 64666.3 |
132 | 2021-07-11 09:43:49 | multilayer | 1 | 67641 | 2 | 1.106 | 61158.2 |
131 | 2021-04-07 11:18:30 | multilayer | 1 | 67641 | 2 | 1.080 | 62630.6 |
130 | 2021-04-03 07:36:52 | multilayer | 1 | 67641 | 2 | 1.190 | 56841.2 |
129 | 2021-03-28 14:50:08 | multilayer | 1 | 67641 | 2 | 1.046 | 64666.3 |
128 | 2021-01-11 20:01:27 | multilayer | 1 | 67641 | 2 | 1.033 | 65480.2 |
127 | 2020-12-07 07:45:33 | multilayer | 1 | 67641 | 2 | 0.983 | 68810.8 |
126 | 2020-10-17 03:09:45 | multilayer | 1 | 67641 | 2 | 1.030 | 65670.9 |
125 | 2020-09-29 21:52:00 | multilayer | 1 | 67641 | 2 | 1.076 | 62863.4 |
124 | 2020-08-10 02:45:21 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
123 | 2020-07-16 18:19:27 | multilayer | 1 | 67641 | 2 | 1.173 | 57665.0 |
122 | 2020-05-02 13:42:28 | multilayer | 1 | 67641 | 2 | 1.046 | 64666.3 |
121 | 2020-03-22 01:02:08 | multilayer | 1 | 67641 | 2 | 0.983 | 68810.8 |
120 | 2020-02-21 04:28:20 | multilayer | 1 | 67641 | 2 | 1.173 | 57665.0 |
119 | 2020-02-11 15:24:50 | multilayer | 1 | 67641 | 2 | 2.640 | 25621.6 |
118 | 2020-02-04 14:23:17 | multilayer | 1 | 67641 | 2 | 1.170 | 57812.8 |
117 | 2020-02-04 00:17:45 | multilayer | 1 | 67641 | 2 | 2.110 | 32057.3 |
116 | 2020-01-24 23:45:44 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
115 | 2020-01-24 13:01:04 | multilayer | 1 | 67641 | 2 | 1.373 | 49265.1 |
114 | 2020-01-19 15:00:43 | multilayer | 1 | 67641 | 2 | 1.300 | 52031.5 |
113 | 2020-01-16 20:28:43 | multilayer | 1 | 67641 | 2 | 1.123 | 60232.4 |
112 | 2020-01-05 00:20:45 | multilayer | 1 | 67641 | 2 | 1.263 | 53555.8 |
111 | 2020-01-01 12:32:01 | multilayer | 1 | 67641 | 2 | 1.220 | 55443.4 |
110 | 2019-10-20 08:00:01 | multilayer | 1 | 67641 | 2 | 1.123 | 60232.4 |
109 | 2019-07-03 15:14:29 | multilayer | 1 | 67641 | 2 | 1.190 | 56841.2 |
108 | 2019-03-04 23:27:59 | multilayer | 1 | 67641 | 2 | 1.136 | 59543.1 |
107 | 2019-03-01 20:56:07 | multilayer | 1 | 67641 | 2 | 1.176 | 57517.9 |
106 | 2018-11-03 20:23:01 | multilayer | 1 | 67641 | 2 | 1.156 | 58513.0 |
105 | 2018-07-30 22:33:09 | multilayer | 1 | 67641 | 2 | 2.200 | 30745.9 |
104 | 2018-01-12 06:19:53 | multilayer | 1 | 67641 | 2 | 1.346 | 50253.3 |
103 | 2018-01-12 06:14:35 | multilayer | 1 | 67641 | 2 | 1.386 | 48803.0 |
102 | 2017-10-22 04:03:44 | multilayer | 1 | 67641 | 2 | 1.503 | 45004.0 |
101 | 2017-10-19 16:39:24 | multilayer | 1 | 67641 | 2 | 1.526 | 44325.7 |
100 | 2017-10-06 02:56:49 | multilayer | 1 | 67641 | 2 | 1.320 | 51243.2 |
99 | 2017-09-08 09:26:06 | multilayer | 2 | 108824 | 5 | 3.793 | 28690.7 |