History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"squishiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
290 | 2025-09-03 22:48:08 | squishiest | 1 | 67641 | 2 | 1.140 | 59334.2 |
289 | 2025-08-27 21:58:37 | squishiest | 1 | 67641 | 2 | 1.216 | 55625.8 |
288 | 2025-08-23 08:51:38 | squishiest | 1 | 67641 | 2 | 2.826 | 23935.2 |
287 | 2025-08-22 20:36:45 | squishiest | 1 | 67641 | 2 | 2.903 | 23300.4 |
286 | 2025-08-17 01:10:01 | squishiest | 1 | 67641 | 2 | 2.500 | 27056.4 |
285 | 2025-08-15 12:46:50 | squishiest | 1 | 67641 | 2 | 4.950 | 13664.8 |
284 | 2025-08-10 22:02:53 | squishiest | 3 | 140603 | 43 | 16.390 | 8578.6 |
283 | 2025-08-08 06:09:30 | squishiest | 3 | 140603 | 43 | 11.393 | 12341.2 |
282 | 2025-08-08 06:09:13 | squishiest | 3 | 140603 | 43 | 6.923 | 20309.5 |
281 | 2025-08-05 17:02:16 | squishiest | 3 | 140603 | 43 | 12.920 | 10882.6 |
280 | 2025-08-04 13:38:19 | squishiest | 1 | 67641 | 2 | 1.153 | 58665.2 |
279 | 2025-08-03 22:00:37 | squishiest | 1 | 67641 | 2 | 5.546 | 12196.4 |
278 | 2025-08-03 16:39:15 | squishiest | 3 | 140603 | 43 | 21.973 | 6398.9 |
277 | 2025-08-03 16:39:05 | squishiest | 3 | 140603 | 43 | 29.893 | 4703.5 |
276 | 2025-08-03 02:01:44 | squishiest | 3 | 140603 | 43 | 31.676 | 4438.8 |
275 | 2025-08-01 01:40:41 | squishiest | 4 | 161450 | 253 | 52.063 | 3101.1 |
274 | 2025-07-31 11:12:48 | squishiest | 4 | 161450 | 253 | 45.940 | 3514.4 |
273 | 2025-07-30 17:13:37 | squishiest | 4 | 161450 | 253 | 54.346 | 2970.8 |
272 | 2025-07-30 12:05:32 | squishiest | 4 | 161450 | 253 | 31.610 | 5107.6 |
271 | 2025-07-30 01:05:28 | squishiest | 3 | 140603 | 43 | 13.453 | 10451.4 |
270 | 2025-07-23 22:10:37 | squishiest | 1 | 67641 | 2 | 5.373 | 12589.1 |
269 | 2025-07-22 11:25:41 | squishiest | 1 | 67641 | 2 | 2.986 | 22652.7 |
268 | 2025-07-20 23:02:25 | squishiest | 1 | 67641 | 2 | 1.016 | 66575.8 |
267 | 2025-07-20 00:51:09 | squishiest | 4 | 161450 | 253 | 11.296 | 14292.7 |
266 | 2025-07-17 12:23:45 | squishiest | 2 | 108824 | 12 | 10.280 | 10586.0 |
265 | 2025-07-16 08:47:20 | squishiest | 1 | 67641 | 2 | 1.186 | 57032.9 |
264 | 2025-07-16 05:30:48 | squishiest | 3 | 140603 | 43 | 29.673 | 4738.4 |
263 | 2025-07-14 15:38:39 | squishiest | 1 | 67641 | 2 | 5.516 | 12262.7 |
262 | 2025-07-13 15:42:19 | squishiest | 1 | 67641 | 2 | 1.220 | 55443.4 |
261 | 2025-07-13 02:42:37 | squishiest | 1 | 67641 | 2 | 1.373 | 49265.1 |
260 | 2025-07-10 07:18:25 | squishiest | 3 | 140603 | 43 | 32.236 | 4361.7 |
259 | 2025-07-07 23:19:56 | squishiest | 1 | 67641 | 2 | 8.373 | 8078.5 |
258 | 2025-07-06 00:56:35 | squishiest | 3 | 140603 | 43 | 5.956 | 23607.0 |
257 | 2025-07-05 06:52:49 | squishiest | 2 | 108824 | 12 | 15.326 | 7100.6 |
256 | 2025-07-04 21:07:02 | squishiest | 3 | 140603 | 43 | 32.080 | 4382.9 |
255 | 2025-07-04 17:45:45 | squishiest | 3 | 140603 | 43 | 6.546 | 21479.2 |
254 | 2025-07-04 10:26:49 | squishiest | 1 | 67641 | 2 | 1.126 | 60071.9 |
253 | 2025-07-01 08:10:49 | squishiest | 1 | 67641 | 2 | 1.110 | 60937.8 |
252 | 2025-06-25 13:33:57 | squishiest | 1 | 67641 | 2 | 2.750 | 24596.7 |
251 | 2025-06-19 19:36:21 | squishiest | 1 | 67641 | 2 | 5.266 | 12844.9 |
250 | 2025-06-15 07:02:04 | squishiest | 1 | 67641 | 2 | 1.110 | 60937.8 |
249 | 2025-06-13 07:42:58 | squishiest | 4 | 161450 | 253 | 39.893 | 4047.1 |
248 | 2025-06-12 17:15:16 | squishiest | 3 | 140603 | 43 | 11.846 | 11869.2 |
247 | 2025-06-10 08:41:54 | squishiest | 1 | 67641 | 2 | 6.936 | 9752.2 |
246 | 2025-06-10 00:44:36 | squishiest | 4 | 161450 | 253 | 53.973 | 2991.3 |
245 | 2025-06-05 09:28:35 | squishiest | 3 | 140603 | 43 | 26.093 | 5388.5 |
244 | 2025-06-03 21:40:14 | squishiest | 3 | 140603 | 43 | 36.850 | 3815.5 |
243 | 2025-05-31 21:41:58 | squishiest | 3 | 140603 | 43 | 26.326 | 5340.8 |
242 | 2025-05-31 15:54:58 | squishiest | 3 | 140603 | 43 | 33.766 | 4164.0 |
241 | 2025-05-31 02:31:20 | squishiest | 2 | 108824 | 12 | 15.936 | 6828.8 |
240 | 2025-05-22 10:37:43 | squishiest | 1 | 67641 | 2 | 4.530 | 14931.8 |
239 | 2025-05-21 01:55:47 | squishiest | 1 | 67641 | 2 | 3.016 | 22427.4 |
238 | 2025-05-15 04:36:35 | squishiest | 1 | 67641 | 2 | 1.233 | 54858.9 |
237 | 2025-05-07 18:08:07 | squishiest | 3 | 140603 | 43 | 5.296 | 26548.9 |
236 | 2025-05-06 19:25:11 | squishiest | 2 | 108824 | 12 | 3.170 | 34329.3 |
235 | 2025-05-03 20:50:08 | squishiest | 3 | 140603 | 43 | 35.673 | 3941.4 |
234 | 2025-05-01 08:13:18 | squishiest | 1 | 67641 | 2 | 2.453 | 27574.8 |
233 | 2025-04-28 19:35:44 | squishiest | 3 | 140603 | 43 | 6.593 | 21326.1 |
232 | 2025-04-27 09:43:51 | squishiest | 2 | 108824 | 12 | 6.563 | 16581.4 |
231 | 2025-04-25 22:45:03 | squishiest | 1 | 67641 | 2 | 5.170 | 13083.4 |
230 | 2025-04-25 07:37:09 | squishiest | 4 | 161450 | 253 | 28.783 | 5609.2 |
229 | 2025-04-24 09:56:12 | squishiest | 4 | 161450 | 253 | 80.256 | 2011.7 |
228 | 2025-04-19 03:49:33 | squishiest | 4 | 161450 | 253 | 10.000 | 16145.0 |
227 | 2025-04-18 23:45:36 | squishiest | 2 | 108824 | 12 | 3.046 | 35726.9 |
226 | 2025-04-17 11:19:48 | squishiest | 3 | 140603 | 43 | 6.160 | 22825.2 |
225 | 2025-04-15 06:40:01 | squishiest | 2 | 108824 | 12 | 3.126 | 34812.5 |
224 | 2025-04-14 03:18:46 | squishiest | 1 | 67641 | 2 | 4.830 | 14004.3 |
223 | 2025-04-13 19:52:28 | squishiest | 3 | 140603 | 43 | 20.626 | 6816.8 |
222 | 2025-04-02 13:18:27 | squishiest | 1 | 67641 | 2 | 2.906 | 23276.3 |
221 | 2025-03-24 23:26:56 | squishiest | 1 | 67641 | 2 | 3.716 | 18202.6 |
220 | 2025-03-24 10:32:19 | squishiest | 1 | 67641 | 2 | 3.936 | 17185.2 |
219 | 2025-03-10 20:16:07 | squishiest | 3 | 140603 | 43 | 31.876 | 4410.9 |
218 | 2025-03-10 12:18:16 | squishiest | 3 | 140603 | 43 | 19.206 | 7320.8 |
217 | 2025-03-09 20:29:24 | squishiest | 3 | 140603 | 43 | 30.173 | 4659.9 |
216 | 2025-03-09 20:28:09 | squishiest | 1 | 67641 | 2 | 8.000 | 8455.1 |
215 | 2025-03-07 21:01:53 | squishiest | 1 | 67641 | 2 | 5.923 | 11420.1 |
214 | 2025-03-01 06:35:40 | squishiest | 3 | 140603 | 43 | 31.360 | 4483.5 |
213 | 2025-02-28 16:10:50 | squishiest | 3 | 140603 | 43 | 48.440 | 2902.6 |
212 | 2025-02-28 16:08:00 | squishiest | 1 | 67641 | 2 | 5.640 | 11993.1 |
211 | 2025-02-22 13:59:13 | squishiest | 2 | 108824 | 12 | 14.876 | 7315.4 |
210 | 2025-02-22 13:58:38 | squishiest | 3 | 140603 | 43 | 31.770 | 4425.7 |
209 | 2025-02-22 13:55:49 | squishiest | 1 | 67641 | 2 | 4.546 | 14879.2 |
208 | 2025-02-21 04:19:30 | squishiest | 3 | 140603 | 43 | 30.546 | 4603.0 |
207 | 2025-02-18 20:52:01 | squishiest | 2 | 108824 | 12 | 14.783 | 7361.4 |
206 | 2025-02-18 20:51:46 | squishiest | 1 | 67641 | 2 | 3.653 | 18516.6 |
205 | 2025-02-02 23:59:15 | squishiest | 3 | 140603 | 43 | 42.050 | 3343.7 |
204 | 2025-01-25 15:23:50 | squishiest | 1 | 67641 | 2 | 1.000 | 67641.0 |
203 | 2025-01-24 23:25:32 | squishiest | 3 | 140603 | 43 | 6.013 | 23383.2 |
202 | 2025-01-21 18:07:35 | squishiest | 3 | 140603 | 43 | 31.656 | 4441.6 |
201 | 2025-01-11 06:54:25 | squishiest | 1 | 67641 | 2 | 5.936 | 11395.0 |
200 | 2025-01-03 01:39:35 | squishiest | 1 | 67641 | 2 | 5.296 | 12772.1 |
199 | 2024-12-28 02:40:18 | squishiest | 3 | 140603 | 43 | 21.316 | 6596.1 |
198 | 2024-12-26 07:23:11 | squishiest | 1 | 67641 | 2 | 1.170 | 57812.8 |
197 | 2024-12-20 10:43:56 | squishiest | 3 | 140603 | 43 | 25.046 | 5613.8 |
196 | 2024-12-18 02:54:50 | squishiest | 3 | 140603 | 43 | 30.206 | 4654.8 |
195 | 2024-12-14 04:17:44 | squishiest | 3 | 140603 | 43 | 31.203 | 4506.1 |
194 | 2024-12-12 09:10:53 | squishiest | 3 | 140603 | 43 | 16.940 | 8300.1 |
193 | 2024-12-08 22:52:08 | squishiest | 1 | 67641 | 2 | 7.640 | 8853.5 |
192 | 2024-12-07 14:39:21 | squishiest | 1 | 67641 | 2 | 1.080 | 62630.6 |
191 | 2024-11-19 11:15:13 | squishiest | 3 | 140603 | 43 | 18.403 | 7640.2 |