History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"epsilons"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
217 | 2024-04-27 15:32:26 | epsilons | 3 | 146162 | 63 | 8.873 | 16472.7 |
216 | 2024-04-27 07:09:12 | epsilons | 1 | 82945 | 3 | 3.750 | 22118.7 |
215 | 2024-04-19 03:50:55 | epsilons | 1 | 82945 | 3 | 4.033 | 20566.6 |
214 | 2024-04-06 16:11:20 | epsilons | 1 | 82945 | 3 | 3.860 | 21488.3 |
213 | 2024-04-01 12:20:51 | epsilons | 1 | 82945 | 3 | 3.486 | 23793.7 |
212 | 2024-03-31 04:50:45 | epsilons | 1 | 82945 | 3 | 1.716 | 48336.2 |
211 | 2024-03-27 07:52:33 | epsilons | 2 | 121059 | 7 | 3.470 | 34887.3 |
210 | 2024-03-27 07:48:49 | epsilons | 3 | 146162 | 63 | 7.686 | 19016.7 |
209 | 2024-03-26 19:04:16 | epsilons | 4 | 161609 | 685 | 20.816 | 7763.7 |
208 | 2024-03-26 08:37:09 | epsilons | 4 | 161609 | 685 | 17.690 | 9135.6 |
207 | 2024-03-26 07:16:18 | epsilons | 4 | 161609 | 685 | 12.393 | 13040.3 |
206 | 2024-03-25 03:46:23 | epsilons | 4 | 161609 | 685 | 16.516 | 9785.0 |
205 | 2024-03-23 12:04:30 | epsilons | 2 | 121059 | 7 | 8.313 | 14562.6 |
204 | 2024-03-23 12:04:17 | epsilons | 3 | 146162 | 63 | 7.830 | 18666.9 |
203 | 2024-03-23 07:34:15 | epsilons | 4 | 161609 | 685 | 13.360 | 12096.5 |
202 | 2024-03-22 11:03:23 | epsilons | 4 | 161609 | 685 | 14.846 | 10885.7 |
201 | 2024-03-22 11:03:29 | epsilons | 2 | 121059 | 7 | 7.186 | 16846.5 |
200 | 2024-03-22 11:03:27 | epsilons | 3 | 146162 | 63 | 8.656 | 16885.6 |
199 | 2024-03-22 11:03:14 | epsilons | 1 | 82945 | 3 | 1.483 | 55930.5 |
198 | 2024-03-04 16:45:02 | epsilons | 1 | 82945 | 3 | 3.330 | 24908.4 |
197 | 2024-02-20 07:53:57 | epsilons | 1 | 82945 | 3 | 3.326 | 24938.4 |
196 | 2024-02-04 05:43:43 | epsilons | 1 | 82945 | 3 | 1.486 | 55817.6 |
195 | 2024-01-24 18:11:44 | epsilons | 1 | 82945 | 3 | 1.300 | 63803.8 |
194 | 2024-01-18 12:43:06 | epsilons | 1 | 82945 | 3 | 1.406 | 58993.6 |
193 | 2024-01-10 03:16:14 | epsilons | 1 | 82945 | 3 | 1.296 | 64000.8 |
192 | 2023-12-02 08:32:05 | epsilons | 1 | 82945 | 3 | 1.310 | 63316.8 |
191 | 2023-11-20 09:44:42 | epsilons | 1 | 82945 | 3 | 1.296 | 64000.8 |
190 | 2023-11-04 10:48:01 | epsilons | 1 | 82945 | 3 | 1.373 | 60411.5 |
189 | 2023-10-14 15:24:50 | epsilons | 1 | 82945 | 3 | 1.343 | 61761.0 |
188 | 2023-09-29 09:06:20 | epsilons | 1 | 82945 | 3 | 1.420 | 58412.0 |
187 | 2023-09-26 20:41:51 | epsilons | 1 | 82945 | 3 | 1.406 | 58993.6 |
186 | 2023-08-25 04:48:49 | epsilons | 1 | 82945 | 3 | 1.250 | 66356.0 |
185 | 2023-05-31 00:20:16 | epsilons | 1 | 82945 | 3 | 1.236 | 67107.6 |
184 | 2023-05-27 18:31:24 | epsilons | 1 | 82945 | 3 | 1.376 | 60279.8 |
183 | 2023-05-26 11:30:10 | epsilons | 1 | 82945 | 3 | 1.266 | 65517.4 |
182 | 2023-05-03 03:51:18 | epsilons | 1 | 82945 | 3 | 1.263 | 65673.0 |
181 | 2023-03-23 11:04:18 | epsilons | 1 | 82945 | 3 | 1.390 | 59672.7 |
180 | 2023-03-20 03:26:47 | epsilons | 1 | 82945 | 3 | 1.233 | 67270.9 |
179 | 2023-01-31 22:11:54 | epsilons | 1 | 82945 | 3 | 1.233 | 67270.9 |
178 | 2023-01-08 03:44:31 | epsilons | 1 | 82945 | 3 | 1.376 | 60279.8 |
177 | 2022-10-15 04:24:44 | epsilons | 1 | 82945 | 3 | 1.263 | 65673.0 |
176 | 2022-09-29 16:08:13 | epsilons | 1 | 82945 | 3 | 1.376 | 60279.8 |
175 | 2022-06-14 16:38:47 | epsilons | 1 | 82945 | 3 | 1.390 | 59672.7 |
174 | 2022-06-05 10:29:05 | epsilons | 1 | 82945 | 3 | 1.283 | 64649.3 |
173 | 2022-06-04 15:35:47 | epsilons | 1 | 82945 | 3 | 1.250 | 66356.0 |
172 | 2022-06-02 03:49:13 | epsilons | 1 | 82945 | 3 | 1.280 | 64800.8 |
171 | 2022-02-14 10:35:26 | epsilons | 1 | 82945 | 3 | 1.453 | 57085.3 |
170 | 2022-01-28 18:59:43 | epsilons | 1 | 82945 | 3 | 1.440 | 57600.7 |
169 | 2021-12-24 20:25:19 | epsilons | 1 | 82945 | 3 | 2.800 | 29623.2 |
168 | 2021-12-16 11:29:08 | epsilons | 1 | 82945 | 3 | 1.466 | 56579.1 |
167 | 2021-10-08 20:29:03 | epsilons | 1 | 82945 | 3 | 1.263 | 65673.0 |
166 | 2021-07-10 17:06:33 | epsilons | 1 | 82945 | 3 | 1.266 | 65517.4 |
165 | 2021-06-06 05:13:26 | epsilons | 1 | 82945 | 3 | 1.376 | 60279.8 |
164 | 2021-04-11 00:52:19 | epsilons | 1 | 82945 | 3 | 1.440 | 57600.7 |
163 | 2021-04-06 20:58:08 | epsilons | 1 | 82945 | 3 | 1.296 | 64000.8 |
162 | 2021-04-02 17:01:43 | epsilons | 1 | 82945 | 3 | 1.406 | 58993.6 |
161 | 2021-01-25 08:36:32 | epsilons | 1 | 82945 | 3 | 1.280 | 64800.8 |
160 | 2020-12-21 16:41:24 | epsilons | 1 | 82945 | 3 | 1.360 | 60989.0 |
159 | 2020-10-07 20:49:45 | epsilons | 1 | 82945 | 3 | 1.330 | 62364.7 |
158 | 2020-10-04 16:46:17 | epsilons | 1 | 82945 | 3 | 1.470 | 56425.2 |
157 | 2020-09-21 12:39:07 | epsilons | 1 | 82945 | 3 | 1.233 | 67270.9 |
156 | 2020-08-06 10:17:56 | epsilons | 1 | 82945 | 3 | 1.456 | 56967.7 |
155 | 2020-06-07 20:51:43 | epsilons | 1 | 82945 | 3 | 1.406 | 58993.6 |
154 | 2020-03-28 12:28:55 | epsilons | 1 | 82945 | 3 | 1.513 | 54821.5 |
153 | 2020-03-22 13:45:02 | epsilons | 1 | 82945 | 3 | 3.080 | 26930.2 |
152 | 2020-03-05 10:16:38 | epsilons | 1 | 82945 | 3 | 1.360 | 60989.0 |
151 | 2020-03-03 11:12:48 | epsilons | 1 | 82945 | 3 | 1.640 | 50576.2 |
150 | 2020-02-25 19:03:48 | epsilons | 1 | 82945 | 3 | 2.800 | 29623.2 |
149 | 2020-02-25 17:58:29 | epsilons | 1 | 82945 | 3 | 1.326 | 62552.8 |
148 | 2020-02-25 09:25:07 | epsilons | 1 | 82945 | 3 | 1.470 | 56425.2 |
147 | 2020-02-23 06:23:52 | epsilons | 1 | 82945 | 3 | 3.046 | 27230.8 |
146 | 2020-02-17 17:29:25 | epsilons | 1 | 82945 | 3 | 1.640 | 50576.2 |
145 | 2020-02-07 22:09:09 | epsilons | 1 | 82945 | 3 | 1.486 | 55817.6 |
144 | 2020-02-07 16:25:48 | epsilons | 1 | 82945 | 3 | 3.313 | 25036.2 |
143 | 2020-01-27 05:37:04 | epsilons | 1 | 82945 | 3 | 1.453 | 57085.3 |
142 | 2020-01-25 00:32:40 | epsilons | 1 | 82945 | 3 | 3.030 | 27374.6 |
141 | 2020-01-23 23:58:39 | epsilons | 1 | 82945 | 3 | 4.376 | 18954.5 |
140 | 2020-01-23 05:26:37 | epsilons | 1 | 82945 | 3 | 3.423 | 24231.7 |
139 | 2020-01-17 16:46:16 | epsilons | 1 | 82945 | 3 | 1.970 | 42104.1 |
138 | 2020-01-17 15:01:45 | epsilons | 1 | 82945 | 3 | 3.250 | 25521.5 |
137 | 2020-01-12 07:03:47 | epsilons | 1 | 82945 | 3 | 3.436 | 24140.0 |
136 | 2020-01-01 19:59:38 | epsilons | 1 | 82945 | 3 | 1.483 | 55930.5 |
135 | 2019-12-31 07:29:07 | epsilons | 1 | 82945 | 3 | 4.733 | 17524.8 |
134 | 2019-11-30 11:49:19 | epsilons | 1 | 82945 | 3 | 1.360 | 60989.0 |
133 | 2019-09-01 02:04:59 | epsilons | 1 | 82945 | 3 | 1.486 | 55817.6 |
132 | 2019-06-01 10:11:12 | epsilons | 1 | 82945 | 3 | 1.390 | 59672.7 |
131 | 2019-04-04 13:14:21 | epsilons | 1 | 82945 | 3 | 1.373 | 60411.5 |
130 | 2019-03-30 22:27:59 | epsilons | 1 | 82945 | 3 | 1.260 | 65829.4 |
129 | 2019-03-15 12:28:42 | epsilons | 1 | 82945 | 3 | 1.230 | 67435.0 |
128 | 2019-02-20 01:50:04 | epsilons | 1 | 82945 | 3 | 1.373 | 60411.5 |
127 | 2019-02-10 08:32:27 | epsilons | 1 | 82945 | 3 | 1.230 | 67435.0 |
126 | 2018-12-20 04:56:08 | epsilons | 1 | 82945 | 3 | 1.220 | 67987.7 |
125 | 2018-12-18 07:04:41 | epsilons | 1 | 82945 | 3 | 1.230 | 67435.0 |
124 | 2018-11-29 10:51:53 | epsilons | 1 | 82945 | 3 | 1.230 | 67435.0 |
123 | 2018-11-26 00:59:21 | epsilons | 1 | 82945 | 3 | 1.376 | 60279.8 |
122 | 2018-11-22 01:04:53 | epsilons | 1 | 82945 | 3 | 1.183 | 70114.1 |
121 | 2018-11-09 09:07:49 | epsilons | 1 | 82945 | 3 | 2.706 | 30652.3 |
120 | 2018-08-20 11:45:35 | epsilons | 1 | 82945 | 3 | 1.493 | 55555.9 |
119 | 2018-08-11 15:36:19 | epsilons | 1 | 82945 | 3 | 1.440 | 57600.7 |
118 | 2018-08-09 21:53:42 | epsilons | 1 | 82945 | 3 | 1.253 | 66197.1 |