History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suburbanize"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
312 | 2025-07-15 13:08:22 | suburbanize | 4 | 148819 | 25 | 9.626 | 15460.1 |
311 | 2025-07-08 16:09:48 | suburbanize | 4 | 148819 | 25 | 45.110 | 3299.0 |
310 | 2025-07-06 07:54:53 | suburbanize | 5 | 164607 | 137 | 15.500 | 10619.8 |
309 | 2025-07-05 03:03:03 | suburbanize | 5 | 164607 | 137 | 66.160 | 2488.0 |
308 | 2025-07-03 18:22:59 | suburbanize | 5 | 164607 | 137 | 14.360 | 11462.9 |
307 | 2025-07-03 17:17:58 | suburbanize | 4 | 148819 | 25 | 8.296 | 17938.6 |
306 | 2025-06-30 21:39:43 | suburbanize | 2 | 86808 | 8 | 2.236 | 38822.9 |
305 | 2025-06-29 20:20:16 | suburbanize | 3 | 121633 | 12 | 15.346 | 7926.0 |
304 | 2025-06-29 16:59:36 | suburbanize | 1 | 49908 | 5 | 0.893 | 55888.0 |
303 | 2025-06-24 18:24:49 | suburbanize | 1 | 49908 | 5 | 2.686 | 18580.8 |
302 | 2025-06-21 01:29:49 | suburbanize | 1 | 49908 | 5 | 2.000 | 24954.0 |
301 | 2025-06-20 03:49:40 | suburbanize | 1 | 49908 | 5 | 5.796 | 8610.8 |
300 | 2025-05-29 15:41:33 | suburbanize | 1 | 49908 | 5 | 4.080 | 12232.4 |
299 | 2025-05-14 02:12:09 | suburbanize | 1 | 49908 | 5 | 1.750 | 28518.9 |
298 | 2025-04-28 17:23:32 | suburbanize | 1 | 49908 | 5 | 4.656 | 10719.1 |
297 | 2025-04-28 15:57:49 | suburbanize | 1 | 49908 | 5 | 4.190 | 11911.2 |
296 | 2025-04-09 23:47:51 | suburbanize | 4 | 148819 | 25 | 9.453 | 15743.0 |
295 | 2025-04-06 01:54:12 | suburbanize | 2 | 86808 | 8 | 12.316 | 7048.4 |
294 | 2025-04-05 05:06:15 | suburbanize | 3 | 121633 | 12 | 5.076 | 23962.4 |
293 | 2025-04-02 02:01:38 | suburbanize | 1 | 49908 | 5 | 3.733 | 13369.4 |
292 | 2025-03-19 17:50:12 | suburbanize | 1 | 49908 | 5 | 0.830 | 60130.1 |
291 | 2025-03-02 19:33:37 | suburbanize | 3 | 121633 | 12 | 25.830 | 4709.0 |
290 | 2025-03-02 10:10:57 | suburbanize | 1 | 49908 | 5 | 6.406 | 7790.8 |
289 | 2025-02-20 03:27:52 | suburbanize | 3 | 121633 | 12 | 25.533 | 4763.8 |
288 | 2025-02-20 03:27:38 | suburbanize | 3 | 121633 | 12 | 26.533 | 4584.2 |
287 | 2025-02-20 03:27:27 | suburbanize | 3 | 121633 | 12 | 28.686 | 4240.2 |
286 | 2025-02-20 03:27:24 | suburbanize | 2 | 86808 | 8 | 7.720 | 11244.6 |
285 | 2025-02-11 07:29:17 | suburbanize | 1 | 49908 | 5 | 2.296 | 21736.9 |
284 | 2025-02-10 23:27:59 | suburbanize | 1 | 49908 | 5 | 2.186 | 22830.7 |
283 | 2025-02-08 22:48:45 | suburbanize | 1 | 49908 | 5 | 4.500 | 11090.7 |
282 | 2025-01-30 13:35:41 | suburbanize | 3 | 121633 | 12 | 35.266 | 3449.0 |
281 | 2025-01-30 13:35:25 | suburbanize | 2 | 86808 | 8 | 6.236 | 13920.5 |
280 | 2025-01-30 13:33:28 | suburbanize | 1 | 49908 | 5 | 2.906 | 17174.1 |
279 | 2025-01-19 00:38:14 | suburbanize | 3 | 121633 | 12 | 25.000 | 4865.3 |
278 | 2025-01-19 00:38:05 | suburbanize | 2 | 86808 | 8 | 9.720 | 8930.9 |
277 | 2025-01-11 17:19:27 | suburbanize | 4 | 148819 | 25 | 46.973 | 3168.2 |
276 | 2025-01-11 17:19:38 | suburbanize | 3 | 121633 | 12 | 25.456 | 4778.2 |
275 | 2025-01-11 17:19:32 | suburbanize | 2 | 86808 | 8 | 11.796 | 7359.1 |
274 | 2025-01-11 17:18:12 | suburbanize | 1 | 49908 | 5 | 5.483 | 9102.3 |
273 | 2025-01-08 09:09:44 | suburbanize | 3 | 121633 | 12 | 27.643 | 4400.1 |
272 | 2025-01-08 09:09:44 | suburbanize | 2 | 86808 | 8 | 10.360 | 8379.2 |
271 | 2025-01-08 09:08:56 | suburbanize | 1 | 49908 | 5 | 4.063 | 12283.5 |
270 | 2024-12-31 11:11:46 | suburbanize | 1 | 49908 | 5 | 3.110 | 16047.6 |
269 | 2024-12-24 14:17:47 | suburbanize | 4 | 148819 | 25 | 39.173 | 3799.0 |
268 | 2024-12-22 07:10:02 | suburbanize | 4 | 148819 | 25 | 47.876 | 3108.4 |
267 | 2024-12-22 07:09:48 | suburbanize | 3 | 121633 | 12 | 26.033 | 4672.3 |
266 | 2024-12-22 07:09:40 | suburbanize | 2 | 86808 | 8 | 10.610 | 8181.7 |
265 | 2024-12-22 07:07:10 | suburbanize | 1 | 49908 | 5 | 3.626 | 13763.9 |
264 | 2024-12-20 12:51:08 | suburbanize | 4 | 148819 | 25 | 43.753 | 3401.3 |
263 | 2024-12-17 11:54:37 | suburbanize | 3 | 121633 | 12 | 24.296 | 5006.3 |
262 | 2024-12-17 11:54:28 | suburbanize | 2 | 86808 | 8 | 8.690 | 9989.4 |
261 | 2024-12-09 08:06:00 | suburbanize | 3 | 121633 | 12 | 25.376 | 4793.2 |
260 | 2024-12-09 08:05:58 | suburbanize | 2 | 86808 | 8 | 16.173 | 5367.5 |
259 | 2024-12-09 08:05:56 | suburbanize | 1 | 49908 | 5 | 4.360 | 11446.8 |
258 | 2024-12-02 03:43:02 | suburbanize | 1 | 49908 | 5 | 3.923 | 12721.9 |
257 | 2024-11-29 09:38:04 | suburbanize | 1 | 49908 | 5 | 5.843 | 8541.5 |
256 | 2024-11-21 16:34:44 | suburbanize | 1 | 49908 | 5 | 0.903 | 55269.1 |
255 | 2024-11-19 11:20:55 | suburbanize | 3 | 121633 | 12 | 27.156 | 4479.0 |
254 | 2024-11-19 11:20:38 | suburbanize | 3 | 121633 | 12 | 27.596 | 4407.6 |
253 | 2024-11-19 11:20:36 | suburbanize | 2 | 86808 | 8 | 18.673 | 4648.9 |
252 | 2024-11-17 02:37:11 | suburbanize | 4 | 148819 | 25 | 46.356 | 3210.4 |
251 | 2024-11-17 02:36:54 | suburbanize | 4 | 148819 | 25 | 58.293 | 2552.9 |
250 | 2024-11-17 02:36:58 | suburbanize | 3 | 121633 | 12 | 37.886 | 3210.5 |
249 | 2024-11-17 02:36:57 | suburbanize | 2 | 86808 | 8 | 11.513 | 7540.0 |
248 | 2024-11-12 15:18:03 | suburbanize | 4 | 148819 | 25 | 69.223 | 2149.8 |
247 | 2024-11-12 15:18:01 | suburbanize | 3 | 121633 | 12 | 24.843 | 4896.1 |
246 | 2024-11-12 15:18:00 | suburbanize | 2 | 86808 | 8 | 11.893 | 7299.1 |
245 | 2024-11-08 07:07:19 | suburbanize | 1 | 49908 | 5 | 2.826 | 17660.3 |
244 | 2024-10-27 10:30:49 | suburbanize | 1 | 49908 | 5 | 0.796 | 62698.5 |
243 | 2024-10-22 13:44:57 | suburbanize | 1 | 49908 | 5 | 3.813 | 13088.9 |
242 | 2024-10-12 04:13:41 | suburbanize | 4 | 148819 | 25 | 61.550 | 2417.9 |
241 | 2024-10-12 04:13:49 | suburbanize | 3 | 121633 | 12 | 25.126 | 4840.9 |
240 | 2024-10-12 04:13:32 | suburbanize | 2 | 86808 | 8 | 17.483 | 4965.3 |
239 | 2024-10-10 17:26:39 | suburbanize | 3 | 121633 | 12 | 23.406 | 5196.7 |
238 | 2024-10-04 22:19:38 | suburbanize | 4 | 148819 | 25 | 67.580 | 2202.1 |
237 | 2024-10-04 22:19:34 | suburbanize | 3 | 121633 | 12 | 43.783 | 2778.1 |
236 | 2024-10-04 22:19:34 | suburbanize | 2 | 86808 | 8 | 15.906 | 5457.6 |
235 | 2024-10-04 22:17:57 | suburbanize | 1 | 49908 | 5 | 6.406 | 7790.8 |
234 | 2024-10-03 12:02:20 | suburbanize | 4 | 148819 | 25 | 51.610 | 2883.5 |
233 | 2024-10-03 12:02:25 | suburbanize | 3 | 121633 | 12 | 28.516 | 4265.4 |
232 | 2024-10-03 12:02:23 | suburbanize | 2 | 86808 | 8 | 19.516 | 4448.0 |
231 | 2024-09-30 10:09:51 | suburbanize | 4 | 148819 | 25 | 64.430 | 2309.8 |
230 | 2024-09-23 23:25:12 | suburbanize | 1 | 49908 | 5 | 9.140 | 5460.4 |
229 | 2024-09-22 07:08:48 | suburbanize | 1 | 49908 | 5 | 5.953 | 8383.7 |
228 | 2024-09-04 10:45:17 | suburbanize | 1 | 49908 | 5 | 7.096 | 7033.3 |
227 | 2024-09-04 02:15:59 | suburbanize | 1 | 49908 | 5 | 8.686 | 5745.8 |
226 | 2024-08-31 00:25:28 | suburbanize | 4 | 148819 | 25 | 70.376 | 2114.6 |
225 | 2024-08-14 01:54:40 | suburbanize | 4 | 148819 | 25 | 67.210 | 2214.2 |
224 | 2024-08-12 02:52:34 | suburbanize | 1 | 49908 | 5 | 5.750 | 8679.7 |
223 | 2024-08-04 23:27:38 | suburbanize | 4 | 148819 | 25 | 37.330 | 3986.6 |
222 | 2024-08-04 17:12:46 | suburbanize | 4 | 148819 | 25 | 47.613 | 3125.6 |
221 | 2024-08-03 06:04:44 | suburbanize | 4 | 148819 | 25 | 36.846 | 4038.9 |
220 | 2024-07-29 13:30:26 | suburbanize | 1 | 49908 | 5 | 3.326 | 15005.4 |
219 | 2024-07-29 12:12:11 | suburbanize | 4 | 148819 | 25 | 22.906 | 6496.9 |
218 | 2024-07-29 12:10:18 | suburbanize | 4 | 148819 | 25 | 47.173 | 3154.7 |
217 | 2024-07-18 23:23:34 | suburbanize | 1 | 49908 | 5 | 3.670 | 13598.9 |
216 | 2024-07-18 03:07:29 | suburbanize | 1 | 49908 | 5 | 1.330 | 37524.8 |
215 | 2024-07-17 02:51:01 | suburbanize | 1 | 49908 | 5 | 3.463 | 14411.8 |
214 | 2024-07-13 10:18:10 | suburbanize | 1 | 49908 | 5 | 4.690 | 10641.4 |
213 | 2024-07-05 19:51:00 | suburbanize | 1 | 49908 | 5 | 3.330 | 14987.4 |