History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"narrowness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
233 | 2025-08-09 15:10:37 | narrowness | 1 | 67641 | 1 | 6.000 | 11273.5 |
232 | 2025-08-09 14:57:35 | narrowness | 1 | 67641 | 1 | 2.936 | 23038.5 |
231 | 2025-08-09 04:32:53 | narrowness | 1 | 67641 | 1 | 6.986 | 9682.4 |
230 | 2025-08-04 13:21:12 | narrowness | 1 | 67641 | 1 | 4.796 | 14103.6 |
229 | 2025-07-23 16:53:33 | narrowness | 1 | 67641 | 1 | 4.436 | 15248.2 |
228 | 2025-07-19 20:20:00 | narrowness | 1 | 67641 | 1 | 1.266 | 53428.9 |
227 | 2025-07-19 06:24:14 | narrowness | 1 | 67641 | 1 | 1.033 | 65480.2 |
226 | 2025-07-15 07:35:46 | narrowness | 3 | 140603 | 17 | 42.173 | 3334.0 |
225 | 2025-07-15 01:59:20 | narrowness | 2 | 108824 | 4 | 10.470 | 10393.9 |
224 | 2025-07-12 22:05:05 | narrowness | 1 | 67641 | 1 | 1.343 | 50365.6 |
223 | 2025-07-05 15:42:26 | narrowness | 2 | 108824 | 4 | 15.780 | 6896.3 |
222 | 2025-07-05 07:24:16 | narrowness | 3 | 140603 | 17 | 31.580 | 4452.3 |
221 | 2025-07-04 13:04:47 | narrowness | 1 | 67641 | 1 | 5.033 | 13439.5 |
220 | 2025-07-04 05:47:33 | narrowness | 1 | 67641 | 1 | 5.000 | 13528.2 |
219 | 2025-06-27 03:36:25 | narrowness | 1 | 67641 | 1 | 5.876 | 11511.4 |
218 | 2025-06-12 09:56:10 | narrowness | 2 | 108824 | 4 | 17.043 | 6385.3 |
217 | 2025-06-12 02:12:02 | narrowness | 3 | 140603 | 17 | 18.953 | 7418.5 |
216 | 2025-06-09 21:52:13 | narrowness | 1 | 67641 | 1 | 6.953 | 9728.3 |
215 | 2025-06-08 17:02:36 | narrowness | 4 | 161450 | 151 | 56.786 | 2843.1 |
214 | 2025-06-06 10:58:45 | narrowness | 4 | 161450 | 151 | 74.600 | 2164.2 |
213 | 2025-06-02 04:27:30 | narrowness | 4 | 161450 | 151 | 37.346 | 4323.1 |
212 | 2025-05-31 04:07:51 | narrowness | 4 | 161450 | 151 | 44.410 | 3635.4 |
211 | 2025-05-28 02:10:26 | narrowness | 1 | 67641 | 1 | 1.186 | 57032.9 |
210 | 2025-05-26 20:10:01 | narrowness | 1 | 67641 | 1 | 2.893 | 23380.9 |
209 | 2025-05-23 04:59:12 | narrowness | 1 | 67641 | 1 | 2.766 | 24454.4 |
208 | 2025-05-14 04:06:27 | narrowness | 1 | 67641 | 1 | 2.610 | 25916.1 |
207 | 2025-05-06 13:00:35 | narrowness | 1 | 67641 | 1 | 5.860 | 11542.8 |
206 | 2025-04-23 11:10:07 | narrowness | 3 | 140603 | 17 | 27.443 | 5123.5 |
205 | 2025-04-23 09:23:06 | narrowness | 2 | 108824 | 4 | 11.876 | 9163.4 |
204 | 2025-04-21 21:23:31 | narrowness | 1 | 67641 | 1 | 2.516 | 26884.3 |
203 | 2025-04-18 01:40:27 | narrowness | 3 | 140603 | 17 | 39.453 | 3563.8 |
202 | 2025-04-08 04:22:34 | narrowness | 1 | 67641 | 1 | 7.873 | 8591.5 |
201 | 2025-04-06 02:31:53 | narrowness | 1 | 67641 | 1 | 5.030 | 13447.5 |
200 | 2025-04-02 06:33:27 | narrowness | 3 | 140603 | 17 | 23.266 | 6043.3 |
199 | 2025-04-01 16:49:17 | narrowness | 3 | 140603 | 17 | 30.290 | 4641.9 |
198 | 2025-03-29 21:20:10 | narrowness | 2 | 108824 | 4 | 16.376 | 6645.3 |
197 | 2025-03-29 20:53:03 | narrowness | 3 | 140603 | 17 | 49.550 | 2837.6 |
196 | 2025-03-27 10:37:56 | narrowness | 3 | 140603 | 17 | 27.830 | 5052.2 |
195 | 2025-03-25 16:36:28 | narrowness | 3 | 140603 | 17 | 32.500 | 4326.2 |
194 | 2025-03-25 13:18:13 | narrowness | 4 | 161450 | 151 | 59.520 | 2712.5 |
193 | 2025-03-25 10:46:58 | narrowness | 2 | 108824 | 4 | 21.923 | 4963.9 |
192 | 2025-03-24 14:54:52 | narrowness | 1 | 67641 | 1 | 1.296 | 52192.1 |
191 | 2025-03-20 15:46:11 | narrowness | 4 | 161450 | 151 | 63.763 | 2532.0 |
190 | 2025-03-12 14:39:16 | narrowness | 1 | 67641 | 1 | 4.140 | 16338.4 |
189 | 2025-02-24 08:19:44 | narrowness | 2 | 108824 | 4 | 15.623 | 6965.6 |
188 | 2025-02-19 01:02:18 | narrowness | 4 | 161450 | 151 | 69.533 | 2321.9 |
187 | 2025-02-19 01:01:59 | narrowness | 2 | 108824 | 4 | 16.173 | 6728.7 |
186 | 2025-02-19 01:01:42 | narrowness | 1 | 67641 | 1 | 4.533 | 14921.9 |
185 | 2025-02-16 10:49:10 | narrowness | 4 | 161450 | 151 | 39.456 | 4091.9 |
184 | 2025-02-14 17:38:14 | narrowness | 3 | 140603 | 17 | 16.046 | 8762.5 |
183 | 2025-02-14 17:38:07 | narrowness | 2 | 108824 | 4 | 15.613 | 6970.1 |
182 | 2025-02-14 17:36:24 | narrowness | 1 | 67641 | 1 | 3.420 | 19778.1 |
181 | 2025-02-14 12:54:45 | narrowness | 3 | 140603 | 17 | 39.580 | 3552.4 |
180 | 2025-02-12 02:08:19 | narrowness | 3 | 140603 | 17 | 39.440 | 3565.0 |
179 | 2025-02-08 08:22:50 | narrowness | 1 | 67641 | 1 | 2.233 | 30291.5 |
178 | 2025-02-02 01:13:48 | narrowness | 3 | 140603 | 17 | 11.890 | 11825.3 |
177 | 2025-02-02 01:13:49 | narrowness | 2 | 108824 | 4 | 3.983 | 27322.1 |
176 | 2025-02-02 01:13:41 | narrowness | 1 | 67641 | 1 | 1.076 | 62863.4 |
175 | 2025-01-12 06:57:37 | narrowness | 4 | 161450 | 151 | 39.300 | 4108.1 |
174 | 2025-01-11 18:01:59 | narrowness | 4 | 161450 | 151 | 47.206 | 3420.1 |
173 | 2025-01-11 18:02:00 | narrowness | 2 | 108824 | 4 | 7.826 | 13905.4 |
172 | 2025-01-11 17:59:52 | narrowness | 1 | 67641 | 1 | 3.750 | 18037.6 |
171 | 2025-01-05 19:42:27 | narrowness | 1 | 67641 | 1 | 1.110 | 60937.8 |
170 | 2024-12-30 05:11:23 | narrowness | 3 | 140603 | 17 | 28.423 | 4946.8 |
169 | 2024-12-30 03:43:53 | narrowness | 1 | 67641 | 1 | 5.626 | 12022.9 |
168 | 2024-12-29 23:46:26 | narrowness | 3 | 140603 | 17 | 49.766 | 2825.3 |
167 | 2024-12-25 14:53:16 | narrowness | 3 | 140603 | 17 | 18.580 | 7567.4 |
166 | 2024-12-25 14:53:09 | narrowness | 3 | 140603 | 17 | 21.956 | 6403.9 |
165 | 2024-12-25 14:49:28 | narrowness | 1 | 67641 | 1 | 3.220 | 21006.5 |
164 | 2024-12-02 10:42:20 | narrowness | 2 | 108824 | 4 | 10.750 | 10123.2 |
163 | 2024-11-27 17:45:51 | narrowness | 2 | 108824 | 4 | 18.140 | 5999.1 |
162 | 2024-11-23 05:59:08 | narrowness | 1 | 67641 | 1 | 6.173 | 10957.6 |
161 | 2024-11-15 19:13:37 | narrowness | 1 | 67641 | 1 | 9.953 | 6796.0 |
160 | 2024-11-13 21:30:27 | narrowness | 3 | 140603 | 17 | 33.423 | 4206.8 |
159 | 2024-11-13 18:32:50 | narrowness | 3 | 140603 | 17 | 15.906 | 8839.6 |
158 | 2024-11-11 02:44:13 | narrowness | 3 | 140603 | 17 | 29.923 | 4698.8 |
156 | 2024-11-11 02:44:10 | narrowness | 3 | 140603 | 17 | 32.770 | 4290.6 |
155 | 2024-11-11 02:44:12 | narrowness | 2 | 108824 | 4 | 15.766 | 6902.4 |
154 | 2024-10-30 22:40:06 | narrowness | 1 | 67641 | 1 | 1.140 | 59334.2 |
153 | 2024-10-22 12:34:40 | narrowness | 1 | 67641 | 1 | 6.970 | 9704.6 |
152 | 2024-10-15 11:28:38 | narrowness | 1 | 67641 | 1 | 3.343 | 20233.6 |
151 | 2024-10-06 20:31:56 | narrowness | 1 | 67641 | 1 | 8.640 | 7828.8 |
150 | 2024-09-24 21:07:06 | narrowness | 1 | 67641 | 1 | 16.066 | 4210.2 |
149 | 2024-08-30 06:26:27 | narrowness | 1 | 67641 | 1 | 7.423 | 9112.4 |
148 | 2024-07-28 02:36:28 | narrowness | 3 | 140603 | 17 | 36.863 | 3814.2 |
147 | 2024-07-27 13:17:50 | narrowness | 3 | 140603 | 17 | 32.456 | 4332.1 |
146 | 2024-07-27 13:17:53 | narrowness | 2 | 108824 | 4 | 5.610 | 19398.2 |
145 | 2024-07-27 13:13:58 | narrowness | 1 | 67641 | 1 | 3.330 | 20312.6 |
144 | 2024-07-16 03:18:26 | narrowness | 3 | 140603 | 17 | 35.283 | 3985.0 |
143 | 2024-07-15 18:12:02 | narrowness | 1 | 67641 | 1 | 1.906 | 35488.5 |
142 | 2024-06-22 03:36:41 | narrowness | 3 | 140603 | 17 | 23.110 | 6084.1 |
141 | 2024-06-16 07:01:55 | narrowness | 3 | 140603 | 17 | 32.813 | 4285.0 |
140 | 2024-06-16 07:01:46 | narrowness | 2 | 108824 | 4 | 11.220 | 9699.1 |
139 | 2024-06-10 04:30:40 | narrowness | 3 | 140603 | 17 | 35.550 | 3955.1 |
138 | 2024-06-10 04:30:39 | narrowness | 2 | 108824 | 4 | 12.030 | 9046.1 |
137 | 2024-06-09 13:26:39 | narrowness | 1 | 67641 | 1 | 5.000 | 13528.2 |
136 | 2024-06-06 23:32:25 | narrowness | 1 | 67641 | 1 | 1.470 | 46014.3 |
135 | 2024-06-02 23:53:58 | narrowness | 4 | 161450 | 151 | 39.736 | 4063.1 |
134 | 2024-05-29 23:14:33 | narrowness | 4 | 161450 | 151 | 63.693 | 2534.8 |