History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suburb"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
206 | 2024-04-06 02:00:37 | suburb | 1 | 48755 | 2 | 1.123 | 43415.0 |
205 | 2024-03-30 01:06:57 | suburb | 1 | 48755 | 2 | 2.783 | 17518.9 |
204 | 2024-03-06 23:30:46 | suburb | 1 | 48755 | 2 | 2.030 | 24017.2 |
203 | 2024-03-05 19:52:22 | suburb | 2 | 82551 | 15 | 2.313 | 35690.0 |
202 | 2024-03-05 19:52:03 | suburb | 3 | 112716 | 191 | 4.940 | 22817.0 |
201 | 2024-03-02 04:33:34 | suburb | 2 | 82551 | 15 | 2.720 | 30349.6 |
200 | 2024-03-01 18:05:42 | suburb | 1 | 48755 | 2 | 1.970 | 24748.7 |
199 | 2024-02-29 21:26:53 | suburb | 2 | 82551 | 15 | 2.623 | 31472.0 |
198 | 2024-02-29 21:26:39 | suburb | 3 | 112716 | 191 | 5.936 | 18988.5 |
197 | 2024-02-29 07:35:30 | suburb | 2 | 82551 | 15 | 4.440 | 18592.6 |
196 | 2024-02-29 07:35:17 | suburb | 3 | 112716 | 191 | 6.516 | 17298.3 |
195 | 2024-02-29 02:53:04 | suburb | 1 | 48755 | 2 | 0.813 | 59969.2 |
194 | 2024-02-29 02:52:57 | suburb | 3 | 112716 | 191 | 5.656 | 19928.6 |
193 | 2024-02-29 02:52:59 | suburb | 2 | 82551 | 15 | 2.593 | 31836.1 |
192 | 2024-02-28 00:53:39 | suburb | 1 | 48755 | 2 | 0.846 | 57630.0 |
191 | 2024-02-21 19:23:10 | suburb | 1 | 48755 | 2 | 1.093 | 44606.6 |
190 | 2024-01-30 16:24:35 | suburb | 2 | 82551 | 15 | 2.670 | 30918.0 |
189 | 2024-01-30 16:24:23 | suburb | 3 | 112716 | 191 | 7.483 | 15062.9 |
188 | 2024-01-30 05:29:30 | suburb | 2 | 82551 | 15 | 2.610 | 31628.7 |
187 | 2024-01-30 05:29:26 | suburb | 3 | 112716 | 191 | 5.360 | 21029.1 |
186 | 2024-01-29 09:24:52 | suburb | 3 | 112716 | 191 | 5.563 | 20261.7 |
185 | 2024-01-29 08:58:53 | suburb | 3 | 112716 | 191 | 10.450 | 10786.2 |
184 | 2024-01-29 08:58:45 | suburb | 2 | 82551 | 15 | 4.233 | 19501.8 |
183 | 2024-01-29 07:58:25 | suburb | 2 | 82551 | 15 | 2.343 | 35233.0 |
182 | 2023-12-05 20:47:19 | suburb | 1 | 48755 | 2 | 0.906 | 53813.5 |
181 | 2023-11-21 07:53:17 | suburb | 3 | 112716 | 191 | 5.736 | 19650.6 |
180 | 2023-11-20 20:54:38 | suburb | 1 | 48755 | 2 | 0.856 | 56956.8 |
179 | 2023-11-20 12:50:27 | suburb | 2 | 82551 | 15 | 4.783 | 17259.3 |
178 | 2023-11-16 09:21:48 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
177 | 2023-11-07 17:19:05 | suburb | 2 | 82551 | 15 | 2.376 | 34743.7 |
176 | 2023-11-05 22:32:43 | suburb | 1 | 48755 | 2 | 0.813 | 59969.2 |
175 | 2023-11-05 16:17:26 | suburb | 3 | 112716 | 191 | 5.326 | 21163.3 |
174 | 2023-11-05 16:17:25 | suburb | 2 | 82551 | 15 | 2.360 | 34979.2 |
173 | 2023-10-21 04:05:39 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
172 | 2023-10-16 13:43:16 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
171 | 2023-09-19 23:05:03 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
170 | 2023-09-17 04:00:10 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
169 | 2023-08-11 22:10:53 | suburb | 2 | 82551 | 15 | 2.376 | 34743.7 |
168 | 2023-07-09 05:04:07 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
167 | 2023-04-26 01:24:21 | suburb | 2 | 82551 | 15 | 2.170 | 38041.9 |
166 | 2023-04-16 03:39:42 | suburb | 1 | 48755 | 2 | 0.750 | 65006.7 |
165 | 2023-02-08 16:38:22 | suburb | 1 | 48755 | 2 | 0.750 | 65006.7 |
164 | 2023-02-02 15:38:32 | suburb | 2 | 82551 | 15 | 2.110 | 39123.7 |
163 | 2022-12-06 21:35:37 | suburb | 1 | 48755 | 2 | 0.750 | 65006.7 |
162 | 2022-11-15 16:28:11 | suburb | 2 | 82551 | 15 | 2.280 | 36206.6 |
161 | 2022-08-08 01:34:48 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
160 | 2022-06-17 18:59:11 | suburb | 2 | 82551 | 15 | 2.376 | 34743.7 |
159 | 2022-04-16 06:26:20 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
158 | 2021-11-01 21:14:28 | suburb | 3 | 112716 | 191 | 5.500 | 20493.8 |
157 | 2021-09-21 14:56:29 | suburb | 1 | 48755 | 2 | 0.860 | 56691.9 |
156 | 2021-09-20 09:04:02 | suburb | 1 | 48755 | 2 | 0.843 | 57835.1 |
155 | 2021-09-13 23:23:27 | suburb | 1 | 48755 | 2 | 0.750 | 65006.7 |
154 | 2021-06-01 15:25:11 | suburb | 1 | 48755 | 2 | 0.783 | 62266.9 |
153 | 2021-05-07 10:14:46 | suburb | 1 | 48755 | 2 | 0.796 | 61250.0 |
152 | 2021-02-13 20:04:04 | suburb | 1 | 48755 | 2 | 0.750 | 65006.7 |
151 | 2021-02-09 11:48:18 | suburb | 2 | 82551 | 15 | 2.186 | 37763.5 |
150 | 2020-10-31 23:45:12 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
149 | 2020-10-27 11:22:53 | suburb | 2 | 82551 | 15 | 2.266 | 36430.3 |
148 | 2020-10-06 06:14:09 | suburb | 1 | 48755 | 2 | 0.843 | 57835.1 |
147 | 2020-08-13 14:18:16 | suburb | 1 | 48755 | 2 | 0.860 | 56691.9 |
146 | 2020-04-02 09:57:54 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
145 | 2020-03-29 13:08:18 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
144 | 2020-03-29 05:50:37 | suburb | 1 | 48755 | 2 | 0.953 | 51159.5 |
143 | 2020-03-25 04:43:19 | suburb | 1 | 48755 | 2 | 0.970 | 50262.9 |
142 | 2020-03-24 15:10:02 | suburb | 1 | 48755 | 2 | 1.250 | 39004.0 |
141 | 2020-03-20 18:09:24 | suburb | 1 | 48755 | 2 | 0.970 | 50262.9 |
140 | 2020-02-25 23:42:38 | suburb | 1 | 48755 | 2 | 0.953 | 51159.5 |
139 | 2020-02-25 21:11:12 | suburb | 1 | 48755 | 2 | 0.923 | 52822.3 |
138 | 2020-02-23 04:57:35 | suburb | 1 | 48755 | 2 | 2.466 | 19770.9 |
137 | 2020-02-15 13:39:12 | suburb | 1 | 48755 | 2 | 0.970 | 50262.9 |
136 | 2020-02-11 12:33:36 | suburb | 1 | 48755 | 2 | 1.343 | 36303.1 |
135 | 2020-02-07 02:53:24 | suburb | 1 | 48755 | 2 | 1.126 | 43299.3 |
134 | 2020-02-06 19:47:04 | suburb | 1 | 48755 | 2 | 0.983 | 49598.2 |
133 | 2020-02-06 17:19:54 | suburb | 1 | 48755 | 2 | 0.936 | 52088.7 |
132 | 2020-01-28 04:20:24 | suburb | 1 | 48755 | 2 | 0.843 | 57835.1 |
131 | 2020-01-25 12:45:50 | suburb | 1 | 48755 | 2 | 1.966 | 24799.1 |
130 | 2020-01-19 09:20:34 | suburb | 1 | 48755 | 2 | 1.653 | 29494.9 |
129 | 2020-01-15 08:13:39 | suburb | 1 | 48755 | 2 | 1.860 | 26212.4 |
128 | 2020-01-15 06:52:21 | suburb | 1 | 48755 | 2 | 0.970 | 50262.9 |
127 | 2020-01-08 21:33:55 | suburb | 1 | 48755 | 2 | 0.983 | 49598.2 |
126 | 2020-01-08 20:34:06 | suburb | 1 | 48755 | 2 | 0.920 | 52994.6 |
125 | 2020-01-08 09:43:58 | suburb | 1 | 48755 | 2 | 1.873 | 26030.4 |
124 | 2019-12-29 11:28:54 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
123 | 2019-12-28 05:08:46 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
122 | 2019-12-13 18:03:38 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
121 | 2019-09-12 02:57:08 | suburb | 1 | 48755 | 2 | 0.703 | 69352.8 |
120 | 2019-06-03 04:35:31 | suburb | 1 | 48755 | 2 | 0.776 | 62828.6 |
119 | 2019-05-31 02:25:33 | suburb | 1 | 48755 | 2 | 0.760 | 64151.3 |
118 | 2019-03-12 23:43:49 | suburb | 1 | 48755 | 2 | 0.736 | 66243.2 |
117 | 2019-02-23 15:26:45 | suburb | 1 | 48755 | 2 | 0.790 | 61715.2 |
116 | 2019-02-13 14:20:24 | suburb | 1 | 48755 | 2 | 0.753 | 64747.7 |
115 | 2019-02-11 22:08:31 | suburb | 1 | 48755 | 2 | 0.740 | 65885.1 |
114 | 2019-02-08 09:07:45 | suburb | 1 | 48755 | 2 | 0.773 | 63072.4 |
113 | 2019-02-06 02:14:03 | suburb | 1 | 48755 | 2 | 0.856 | 56956.8 |
112 | 2019-01-30 15:15:18 | suburb | 1 | 48755 | 2 | 0.740 | 65885.1 |
111 | 2019-01-09 04:05:23 | suburb | 1 | 48755 | 2 | 0.766 | 63648.8 |
110 | 2018-12-13 11:14:09 | suburb | 1 | 48755 | 2 | 0.756 | 64490.7 |
109 | 2018-12-05 20:08:14 | suburb | 1 | 48755 | 2 | 0.776 | 62828.6 |
108 | 2018-12-03 21:49:26 | suburb | 1 | 48755 | 2 | 0.743 | 65619.1 |
107 | 2018-11-18 18:53:54 | suburb | 1 | 48755 | 2 | 0.810 | 60191.4 |