History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"martingals"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
200 | 2024-05-09 05:52:42 | martingals | 1 | 67641 | 4 | 1.373 | 49265.1 |
199 | 2024-05-08 15:25:47 | martingals | 4 | 161450 | 236 | 38.796 | 4161.5 |
198 | 2024-05-08 15:24:44 | martingals | 4 | 161450 | 236 | 25.846 | 6246.6 |
197 | 2024-05-01 02:30:00 | martingals | 1 | 67641 | 4 | 1.920 | 35229.7 |
196 | 2024-05-01 02:29:57 | martingals | 1 | 67641 | 4 | 1.283 | 52721.0 |
195 | 2024-04-19 12:16:36 | martingals | 1 | 67641 | 4 | 1.076 | 62863.4 |
194 | 2024-04-14 23:34:48 | martingals | 3 | 140603 | 29 | 22.250 | 6319.2 |
193 | 2024-04-14 23:34:43 | martingals | 2 | 108824 | 5 | 11.266 | 9659.5 |
192 | 2024-04-12 00:57:27 | martingals | 4 | 161450 | 236 | 30.050 | 5372.7 |
191 | 2024-04-12 00:57:27 | martingals | 3 | 140603 | 29 | 19.093 | 7364.1 |
190 | 2024-04-12 00:57:31 | martingals | 2 | 108824 | 5 | 11.826 | 9202.1 |
189 | 2024-04-11 23:40:03 | martingals | 1 | 67641 | 4 | 1.186 | 57032.9 |
188 | 2024-04-11 09:06:42 | martingals | 1 | 67641 | 4 | 1.110 | 60937.8 |
187 | 2024-03-31 12:23:13 | martingals | 1 | 67641 | 4 | 1.186 | 57032.9 |
186 | 2024-03-28 15:04:38 | martingals | 1 | 67641 | 4 | 1.030 | 65670.9 |
185 | 2024-03-10 17:15:35 | martingals | 4 | 161450 | 236 | 15.753 | 10248.8 |
184 | 2024-03-10 07:31:31 | martingals | 4 | 161450 | 236 | 25.860 | 6243.2 |
183 | 2024-03-10 07:31:30 | martingals | 2 | 108824 | 5 | 8.953 | 12155.0 |
182 | 2024-03-10 07:31:28 | martingals | 3 | 140603 | 29 | 8.736 | 16094.7 |
181 | 2024-03-10 07:08:24 | martingals | 1 | 67641 | 4 | 2.800 | 24157.5 |
180 | 2024-02-27 13:33:00 | martingals | 1 | 67641 | 4 | 1.220 | 55443.4 |
179 | 2024-02-04 11:39:23 | martingals | 1 | 67641 | 4 | 2.483 | 27241.6 |
178 | 2024-02-04 07:33:26 | martingals | 1 | 67641 | 4 | 1.296 | 52192.1 |
177 | 2024-01-29 05:15:06 | martingals | 1 | 67641 | 4 | 1.000 | 67641.0 |
176 | 2024-01-28 13:15:59 | martingals | 1 | 67641 | 4 | 1.093 | 61885.6 |
175 | 2024-01-23 09:25:50 | martingals | 4 | 161450 | 236 | 14.030 | 11507.5 |
174 | 2024-01-18 16:37:39 | martingals | 2 | 108824 | 5 | 2.670 | 40758.1 |
173 | 2024-01-01 16:55:36 | martingals | 1 | 67641 | 4 | 1.283 | 52721.0 |
172 | 2023-12-31 11:59:31 | martingals | 4 | 161450 | 236 | 9.906 | 16298.2 |
171 | 2023-12-02 18:17:12 | martingals | 1 | 67641 | 4 | 1.170 | 57812.8 |
170 | 2023-12-01 02:27:56 | martingals | 1 | 67641 | 4 | 1.030 | 65670.9 |
169 | 2023-11-09 09:26:42 | martingals | 1 | 67641 | 4 | 1.033 | 65480.2 |
168 | 2023-10-29 08:49:21 | martingals | 2 | 108824 | 5 | 3.096 | 35149.9 |
167 | 2023-10-26 14:41:56 | martingals | 4 | 161450 | 236 | 15.330 | 10531.6 |
166 | 2023-10-25 05:19:02 | martingals | 1 | 67641 | 4 | 1.110 | 60937.8 |
165 | 2023-10-24 17:54:03 | martingals | 1 | 67641 | 4 | 1.156 | 58513.0 |
164 | 2023-10-22 08:32:48 | martingals | 1 | 67641 | 4 | 1.033 | 65480.2 |
163 | 2023-10-20 13:29:42 | martingals | 4 | 161450 | 236 | 30.486 | 5295.9 |
162 | 2023-10-17 09:38:38 | martingals | 4 | 161450 | 236 | 14.753 | 10943.5 |
161 | 2023-10-16 05:23:58 | martingals | 1 | 67641 | 4 | 1.140 | 59334.2 |
160 | 2023-10-11 12:29:17 | martingals | 4 | 161450 | 236 | 33.440 | 4828.1 |
159 | 2023-10-09 18:19:01 | martingals | 1 | 67641 | 4 | 1.063 | 63632.2 |
158 | 2023-10-04 01:57:28 | martingals | 4 | 161450 | 236 | 14.530 | 11111.5 |
157 | 2023-10-03 00:23:53 | martingals | 1 | 67641 | 4 | 1.060 | 63812.3 |
156 | 2023-10-02 18:51:41 | martingals | 4 | 161450 | 236 | 10.436 | 15470.5 |
155 | 2023-08-18 14:36:08 | martingals | 1 | 67641 | 4 | 1.030 | 65670.9 |
154 | 2023-08-06 10:08:35 | martingals | 2 | 108824 | 5 | 2.843 | 38277.9 |
153 | 2023-07-14 12:29:29 | martingals | 4 | 161450 | 236 | 11.953 | 13507.1 |
152 | 2023-05-27 09:37:55 | martingals | 1 | 67641 | 4 | 1.126 | 60071.9 |
151 | 2023-05-18 22:43:11 | martingals | 1 | 67641 | 4 | 1.000 | 67641.0 |
150 | 2023-04-19 19:47:32 | martingals | 2 | 108824 | 5 | 3.033 | 35880.0 |
149 | 2023-03-31 10:50:06 | martingals | 4 | 161450 | 236 | 16.796 | 9612.4 |
148 | 2023-03-12 03:54:59 | martingals | 1 | 67641 | 4 | 1.123 | 60232.4 |
147 | 2023-01-22 13:21:16 | martingals | 2 | 108824 | 5 | 2.626 | 41441.0 |
146 | 2023-01-20 16:57:11 | martingals | 1 | 67641 | 4 | 1.000 | 67641.0 |
145 | 2023-01-03 05:53:13 | martingals | 1 | 67641 | 4 | 1.000 | 67641.0 |
144 | 2022-12-28 06:55:05 | martingals | 4 | 161450 | 236 | 9.890 | 16324.6 |
143 | 2022-11-02 09:35:15 | martingals | 2 | 108824 | 5 | 3.030 | 35915.5 |
142 | 2022-09-24 01:01:40 | martingals | 1 | 67641 | 4 | 1.000 | 67641.0 |
141 | 2022-09-11 06:42:29 | martingals | 1 | 67641 | 4 | 1.030 | 65670.9 |
140 | 2022-08-28 16:53:40 | martingals | 4 | 161450 | 236 | 9.890 | 16324.6 |
139 | 2022-07-15 01:41:21 | martingals | 3 | 140603 | 29 | 5.483 | 25643.4 |
138 | 2022-05-12 05:56:45 | martingals | 2 | 108824 | 5 | 2.703 | 40260.5 |
137 | 2022-05-06 11:51:15 | martingals | 1 | 67641 | 4 | 1.140 | 59334.2 |
136 | 2022-04-24 15:07:07 | martingals | 1 | 67641 | 4 | 1.033 | 65480.2 |
135 | 2022-01-21 04:09:12 | martingals | 1 | 67641 | 4 | 1.190 | 56841.2 |
134 | 2021-12-26 11:46:36 | martingals | 1 | 67641 | 4 | 1.280 | 52844.5 |
133 | 2021-11-18 20:52:24 | martingals | 1 | 67641 | 4 | 1.330 | 50857.9 |
132 | 2021-10-21 01:53:25 | martingals | 1 | 67641 | 4 | 1.016 | 66575.8 |
131 | 2021-09-22 04:47:46 | martingals | 1 | 67641 | 4 | 1.170 | 57812.8 |
130 | 2021-09-15 03:49:36 | martingals | 1 | 67641 | 4 | 1.076 | 62863.4 |
129 | 2021-09-03 02:55:39 | martingals | 1 | 67641 | 4 | 1.156 | 58513.0 |
128 | 2021-06-10 21:27:03 | martingals | 1 | 67641 | 4 | 1.110 | 60937.8 |
127 | 2021-05-20 04:40:07 | martingals | 1 | 67641 | 4 | 1.046 | 64666.3 |
126 | 2021-04-16 02:05:53 | martingals | 1 | 67641 | 4 | 2.283 | 29628.1 |
125 | 2021-04-06 06:52:09 | martingals | 1 | 67641 | 4 | 1.156 | 58513.0 |
124 | 2021-01-31 07:09:16 | martingals | 1 | 67641 | 4 | 1.063 | 63632.2 |
123 | 2021-01-29 00:42:46 | martingals | 1 | 67641 | 4 | 1.186 | 57032.9 |
122 | 2020-12-31 09:57:50 | martingals | 1 | 67641 | 4 | 1.186 | 57032.9 |
121 | 2020-11-12 19:43:35 | martingals | 1 | 67641 | 4 | 1.156 | 58513.0 |
120 | 2020-10-31 12:42:24 | martingals | 1 | 67641 | 4 | 1.080 | 62630.6 |
119 | 2020-10-27 20:50:05 | martingals | 1 | 67641 | 4 | 1.126 | 60071.9 |
118 | 2020-10-18 14:52:07 | martingals | 1 | 67641 | 4 | 1.453 | 46552.6 |
117 | 2020-10-16 23:11:26 | martingals | 1 | 67641 | 4 | 1.033 | 65480.2 |
116 | 2020-06-16 10:20:36 | martingals | 1 | 67641 | 4 | 1.123 | 60232.4 |
115 | 2020-03-29 18:54:55 | martingals | 1 | 67641 | 4 | 1.173 | 57665.0 |
114 | 2020-03-24 16:05:57 | martingals | 1 | 67641 | 4 | 1.186 | 57032.9 |
113 | 2020-03-08 22:29:36 | martingals | 1 | 67641 | 4 | 1.013 | 66773.0 |
112 | 2020-02-29 16:04:36 | martingals | 1 | 67641 | 4 | 1.266 | 53428.9 |
111 | 2020-02-27 19:09:13 | martingals | 1 | 67641 | 4 | 1.033 | 65480.2 |
110 | 2020-02-21 01:33:44 | martingals | 1 | 67641 | 4 | 5.436 | 12443.2 |
109 | 2020-02-05 22:24:02 | martingals | 1 | 67641 | 4 | 2.703 | 25024.4 |
108 | 2020-01-30 01:07:26 | martingals | 1 | 67641 | 4 | 1.203 | 56226.9 |
107 | 2020-01-27 23:00:52 | martingals | 1 | 67641 | 4 | 1.233 | 54858.9 |
106 | 2020-01-27 19:36:46 | martingals | 1 | 67641 | 4 | 1.296 | 52192.1 |
105 | 2020-01-23 17:27:11 | martingals | 1 | 67641 | 4 | 2.140 | 31607.9 |
104 | 2020-01-16 17:26:39 | martingals | 1 | 67641 | 4 | 2.940 | 23007.1 |
103 | 2020-01-03 13:58:27 | martingals | 1 | 67641 | 4 | 1.046 | 64666.3 |
102 | 2020-01-02 23:22:12 | martingals | 1 | 67641 | 4 | 1.280 | 52844.5 |
101 | 2019-11-27 06:15:51 | martingals | 1 | 67641 | 4 | 1.110 | 60937.8 |