History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swanherds"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
276 | 2025-08-25 01:34:04 | swanherds | 1 | 81242 | 2 | 12.953 | 6272.1 |
275 | 2025-08-24 08:43:31 | swanherds | 4 | 165329 | 573 | 55.130 | 2998.9 |
274 | 2025-08-21 19:05:14 | swanherds | 4 | 165329 | 573 | 15.343 | 10775.5 |
273 | 2025-08-17 07:16:57 | swanherds | 2 | 121436 | 5 | 9.173 | 13238.4 |
272 | 2025-08-16 14:11:25 | swanherds | 3 | 148641 | 56 | 13.970 | 10640.0 |
271 | 2025-08-15 21:45:53 | swanherds | 2 | 121436 | 5 | 3.610 | 33638.8 |
270 | 2025-08-14 17:15:42 | swanherds | 1 | 81242 | 2 | 1.390 | 58447.5 |
269 | 2025-08-12 23:21:06 | swanherds | 4 | 165329 | 573 | 56.673 | 2917.2 |
268 | 2025-08-11 01:03:55 | swanherds | 4 | 165329 | 573 | 59.160 | 2794.6 |
267 | 2025-08-08 14:14:09 | swanherds | 4 | 165329 | 573 | 11.126 | 14859.7 |
266 | 2025-08-07 22:59:14 | swanherds | 2 | 121436 | 5 | 3.186 | 38115.5 |
265 | 2025-08-07 22:17:14 | swanherds | 3 | 148641 | 56 | 7.190 | 20673.3 |
264 | 2025-07-26 16:36:50 | swanherds | 1 | 81242 | 2 | 11.406 | 7122.7 |
263 | 2025-07-25 01:32:17 | swanherds | 1 | 81242 | 2 | 3.440 | 23616.9 |
262 | 2025-07-24 14:26:05 | swanherds | 1 | 81242 | 2 | 4.030 | 20159.3 |
261 | 2025-07-08 15:59:57 | swanherds | 1 | 81242 | 2 | 10.250 | 7926.0 |
260 | 2025-07-03 15:28:05 | swanherds | 1 | 81242 | 2 | 3.060 | 26549.7 |
259 | 2025-05-31 13:43:33 | swanherds | 1 | 81242 | 2 | 6.703 | 12120.2 |
258 | 2025-05-18 17:01:18 | swanherds | 1 | 81242 | 2 | 6.640 | 12235.2 |
257 | 2025-05-12 12:39:56 | swanherds | 1 | 81242 | 2 | 6.860 | 11842.9 |
256 | 2025-05-10 21:02:57 | swanherds | 1 | 81242 | 2 | 4.516 | 17989.8 |
255 | 2025-04-28 14:41:46 | swanherds | 1 | 81242 | 2 | 7.453 | 10900.6 |
254 | 2025-04-16 06:09:04 | swanherds | 1 | 81242 | 2 | 7.330 | 11083.5 |
253 | 2025-04-06 15:59:05 | swanherds | 1 | 81242 | 2 | 5.356 | 15168.4 |
252 | 2025-03-31 22:12:37 | swanherds | 1 | 81242 | 2 | 3.686 | 22040.7 |
251 | 2025-03-15 19:26:35 | swanherds | 1 | 81242 | 2 | 8.906 | 9122.2 |
250 | 2025-03-09 01:15:51 | swanherds | 1 | 81242 | 2 | 6.656 | 12205.8 |
249 | 2025-02-11 09:31:09 | swanherds | 3 | 148641 | 56 | 39.643 | 3749.5 |
248 | 2025-02-11 09:31:09 | swanherds | 3 | 148641 | 56 | 32.613 | 4557.7 |
247 | 2025-02-11 09:31:08 | swanherds | 2 | 121436 | 5 | 18.140 | 6694.4 |
246 | 2025-02-10 19:46:43 | swanherds | 3 | 148641 | 56 | 36.156 | 4111.1 |
245 | 2025-02-08 04:47:41 | swanherds | 3 | 148641 | 56 | 64.283 | 2312.3 |
244 | 2025-02-07 14:10:39 | swanherds | 4 | 165329 | 573 | 63.236 | 2614.5 |
243 | 2025-02-07 14:10:35 | swanherds | 3 | 148641 | 56 | 34.876 | 4262.0 |
242 | 2025-02-07 14:10:35 | swanherds | 2 | 121436 | 5 | 25.796 | 4707.6 |
241 | 2025-02-07 14:08:13 | swanherds | 1 | 81242 | 2 | 4.376 | 18565.4 |
240 | 2025-01-29 19:24:42 | swanherds | 1 | 81242 | 2 | 6.766 | 12007.4 |
239 | 2025-01-28 02:36:23 | swanherds | 1 | 81242 | 2 | 1.360 | 59736.8 |
238 | 2025-01-26 13:01:00 | swanherds | 3 | 148641 | 56 | 19.390 | 7665.9 |
237 | 2025-01-26 13:00:59 | swanherds | 2 | 121436 | 5 | 16.173 | 7508.6 |
236 | 2025-01-23 15:12:49 | swanherds | 1 | 81242 | 2 | 8.813 | 9218.4 |
235 | 2025-01-23 15:12:52 | swanherds | 1 | 81242 | 2 | 5.673 | 14320.8 |
234 | 2025-01-15 05:32:06 | swanherds | 1 | 81242 | 2 | 3.890 | 20884.8 |
233 | 2025-01-04 15:13:51 | swanherds | 3 | 148641 | 56 | 49.850 | 2981.8 |
232 | 2025-01-04 15:13:52 | swanherds | 3 | 148641 | 56 | 45.620 | 3258.2 |
231 | 2025-01-04 15:13:54 | swanherds | 2 | 121436 | 5 | 25.600 | 4743.6 |
230 | 2025-01-04 15:13:39 | swanherds | 1 | 81242 | 2 | 1.423 | 57092.1 |
229 | 2024-12-30 11:34:12 | swanherds | 1 | 81242 | 2 | 3.356 | 24208.0 |
228 | 2024-12-14 20:31:13 | swanherds | 2 | 121436 | 5 | 18.640 | 6514.8 |
227 | 2024-12-14 12:50:39 | swanherds | 1 | 81242 | 2 | 3.766 | 21572.5 |
226 | 2024-12-07 05:09:40 | swanherds | 2 | 121436 | 5 | 15.906 | 7634.6 |
225 | 2024-12-07 05:09:40 | swanherds | 2 | 121436 | 5 | 16.203 | 7494.7 |
224 | 2024-12-07 05:09:35 | swanherds | 2 | 121436 | 5 | 8.890 | 13659.8 |
223 | 2024-11-29 15:07:40 | swanherds | 1 | 81242 | 2 | 7.766 | 10461.2 |
222 | 2024-11-29 01:49:32 | swanherds | 1 | 81242 | 2 | 6.783 | 11977.3 |
221 | 2024-11-10 16:08:01 | swanherds | 1 | 81242 | 2 | 1.513 | 53696.0 |
220 | 2024-11-04 00:56:27 | swanherds | 1 | 81242 | 2 | 9.110 | 8917.9 |
219 | 2024-10-30 00:01:20 | swanherds | 1 | 81242 | 2 | 1.376 | 59042.2 |
218 | 2024-10-28 07:48:02 | swanherds | 1 | 81242 | 2 | 7.780 | 10442.4 |
217 | 2024-10-11 05:51:00 | swanherds | 1 | 81242 | 2 | 10.030 | 8099.9 |
216 | 2024-09-26 18:47:55 | swanherds | 1 | 81242 | 2 | 14.720 | 5519.2 |
215 | 2024-09-17 19:56:08 | swanherds | 2 | 121436 | 5 | 37.783 | 3214.0 |
214 | 2024-09-17 02:56:30 | swanherds | 3 | 148641 | 56 | 55.473 | 2679.5 |
213 | 2024-09-17 02:56:31 | swanherds | 2 | 121436 | 5 | 29.643 | 4096.6 |
212 | 2024-09-17 02:55:30 | swanherds | 1 | 81242 | 2 | 5.080 | 15992.5 |
211 | 2024-09-13 19:18:32 | swanherds | 2 | 121436 | 5 | 19.843 | 6119.8 |
210 | 2024-08-28 10:01:22 | swanherds | 1 | 81242 | 2 | 9.440 | 8606.1 |
209 | 2024-08-24 16:08:44 | swanherds | 1 | 81242 | 2 | 1.280 | 63470.3 |
208 | 2024-08-19 02:17:54 | swanherds | 2 | 121436 | 5 | 26.640 | 4558.4 |
207 | 2024-08-13 14:56:27 | swanherds | 2 | 121436 | 5 | 36.986 | 3283.3 |
206 | 2024-08-13 09:04:53 | swanherds | 3 | 148641 | 56 | 51.066 | 2910.8 |
205 | 2024-08-09 05:45:00 | swanherds | 1 | 81242 | 2 | 4.156 | 19548.1 |
204 | 2024-08-08 12:12:37 | swanherds | 3 | 148641 | 56 | 53.923 | 2756.5 |
203 | 2024-08-06 19:51:58 | swanherds | 4 | 165329 | 573 | 44.973 | 3676.2 |
202 | 2024-08-05 15:59:46 | swanherds | 4 | 165329 | 573 | 51.940 | 3183.1 |
201 | 2024-08-05 13:14:23 | swanherds | 4 | 165329 | 573 | 53.863 | 3069.4 |
200 | 2024-08-05 13:14:32 | swanherds | 2 | 121436 | 5 | 10.860 | 11182.0 |
199 | 2024-08-05 13:11:12 | swanherds | 1 | 81242 | 2 | 4.720 | 17212.3 |
198 | 2024-08-05 13:09:38 | swanherds | 3 | 148641 | 56 | 27.250 | 5454.7 |
197 | 2024-08-03 14:36:45 | swanherds | 3 | 148641 | 56 | 21.623 | 6874.2 |
195 | 2024-08-03 14:36:41 | swanherds | 3 | 148641 | 56 | 25.033 | 5937.8 |
194 | 2024-08-03 14:36:38 | swanherds | 2 | 121436 | 5 | 16.736 | 7256.0 |
193 | 2024-08-03 14:35:03 | swanherds | 1 | 81242 | 2 | 6.580 | 12346.8 |
192 | 2024-07-30 15:19:10 | swanherds | 1 | 81242 | 2 | 2.580 | 31489.1 |
191 | 2024-07-06 02:37:33 | swanherds | 1 | 81242 | 2 | 8.156 | 9961.0 |
190 | 2024-07-04 14:04:35 | swanherds | 3 | 148641 | 56 | 40.580 | 3662.9 |
189 | 2024-07-02 18:47:13 | swanherds | 4 | 165329 | 573 | 34.043 | 4856.5 |
188 | 2024-07-02 18:47:12 | swanherds | 3 | 148641 | 56 | 27.936 | 5320.8 |
187 | 2024-07-02 18:43:19 | swanherds | 1 | 81242 | 2 | 7.316 | 11104.7 |
186 | 2024-07-01 04:51:06 | swanherds | 1 | 81242 | 2 | 6.106 | 13305.3 |
185 | 2024-06-30 23:54:34 | swanherds | 1 | 81242 | 2 | 5.236 | 15516.0 |
184 | 2024-06-21 20:58:50 | swanherds | 2 | 121436 | 5 | 15.940 | 7618.3 |
183 | 2024-06-10 02:36:56 | swanherds | 1 | 81242 | 2 | 4.156 | 19548.1 |
182 | 2024-06-03 17:52:24 | swanherds | 2 | 121436 | 5 | 12.486 | 9725.8 |
181 | 2024-05-31 03:08:07 | swanherds | 1 | 81242 | 2 | 1.453 | 55913.3 |
180 | 2024-05-30 12:07:24 | swanherds | 4 | 165329 | 573 | 55.380 | 2985.4 |
179 | 2024-05-30 06:07:56 | swanherds | 4 | 165329 | 573 | 62.943 | 2626.6 |
178 | 2024-05-30 04:29:15 | swanherds | 4 | 165329 | 573 | 65.630 | 2519.1 |
177 | 2024-05-30 04:27:20 | swanherds | 3 | 148641 | 56 | 28.376 | 5238.3 |