History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"factored"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
314 | 2025-07-10 02:06:01 | factored | 1 | 82945 | 1 | 6.640 | 12491.7 |
313 | 2025-06-25 22:49:55 | factored | 2 | 121059 | 17 | 11.906 | 10167.9 |
312 | 2025-06-25 22:09:27 | factored | 3 | 146162 | 140 | 35.986 | 4061.6 |
311 | 2025-06-25 08:35:05 | factored | 1 | 82945 | 1 | 3.110 | 26670.4 |
310 | 2025-06-25 06:35:02 | factored | 3 | 146162 | 140 | 38.796 | 3767.5 |
309 | 2025-06-24 21:35:48 | factored | 3 | 146162 | 140 | 7.546 | 19369.5 |
308 | 2025-06-23 14:05:51 | factored | 3 | 146162 | 140 | 7.076 | 20656.0 |
307 | 2025-06-22 11:51:16 | factored | 1 | 82945 | 1 | 9.126 | 9088.9 |
306 | 2025-06-21 22:00:05 | factored | 1 | 82945 | 1 | 6.953 | 11929.4 |
305 | 2025-06-20 05:25:48 | factored | 1 | 82945 | 1 | 4.440 | 18681.3 |
304 | 2025-06-19 21:26:34 | factored | 1 | 82945 | 1 | 3.970 | 20892.9 |
303 | 2025-06-18 08:59:22 | factored | 1 | 82945 | 1 | 7.953 | 10429.4 |
302 | 2025-06-10 13:12:21 | factored | 3 | 146162 | 140 | 47.140 | 3100.6 |
301 | 2025-06-09 23:45:12 | factored | 1 | 82945 | 1 | 7.470 | 11103.7 |
300 | 2025-06-06 14:45:52 | factored | 1 | 82945 | 1 | 5.250 | 15799.0 |
299 | 2025-06-03 19:18:16 | factored | 3 | 146162 | 140 | 19.580 | 7464.9 |
298 | 2025-05-27 05:46:35 | factored | 1 | 82945 | 1 | 5.736 | 14460.4 |
297 | 2025-05-23 23:57:53 | factored | 1 | 82945 | 1 | 6.940 | 11951.7 |
296 | 2025-05-20 17:31:56 | factored | 1 | 82945 | 1 | 9.953 | 8333.7 |
295 | 2025-05-20 04:08:00 | factored | 2 | 121059 | 17 | 9.923 | 12199.8 |
294 | 2025-05-19 22:53:06 | factored | 2 | 121059 | 17 | 11.406 | 10613.6 |
293 | 2025-05-19 08:24:31 | factored | 1 | 82945 | 1 | 5.080 | 16327.8 |
292 | 2025-05-17 08:07:48 | factored | 1 | 82945 | 1 | 6.280 | 13207.8 |
291 | 2025-05-05 23:33:59 | factored | 2 | 121059 | 17 | 29.050 | 4167.3 |
290 | 2025-05-05 14:31:11 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
289 | 2025-05-02 23:18:13 | factored | 3 | 146162 | 140 | 60.613 | 2411.4 |
288 | 2025-04-27 14:14:49 | factored | 3 | 146162 | 140 | 7.156 | 20425.1 |
287 | 2025-04-22 22:19:47 | factored | 1 | 82945 | 1 | 7.593 | 10923.9 |
286 | 2025-04-19 05:30:22 | factored | 1 | 82945 | 1 | 1.453 | 57085.3 |
285 | 2025-04-18 16:09:50 | factored | 1 | 82945 | 1 | 2.860 | 29001.7 |
284 | 2025-04-18 08:00:32 | factored | 1 | 82945 | 1 | 6.690 | 12398.4 |
283 | 2025-04-14 21:41:33 | factored | 3 | 146162 | 140 | 22.486 | 6500.1 |
282 | 2025-04-13 21:58:34 | factored | 3 | 146162 | 140 | 30.986 | 4717.0 |
281 | 2025-04-11 15:16:41 | factored | 3 | 146162 | 140 | 35.143 | 4159.1 |
280 | 2025-04-07 23:50:23 | factored | 1 | 82945 | 1 | 6.766 | 12259.1 |
279 | 2025-04-06 22:51:07 | factored | 3 | 146162 | 140 | 33.253 | 4395.5 |
278 | 2025-04-03 06:20:55 | factored | 3 | 146162 | 140 | 7.250 | 20160.3 |
277 | 2025-03-31 17:12:20 | factored | 1 | 82945 | 1 | 12.610 | 6577.7 |
276 | 2025-03-26 11:44:39 | factored | 2 | 121059 | 17 | 9.483 | 12765.9 |
275 | 2025-03-26 11:14:40 | factored | 3 | 146162 | 140 | 48.596 | 3007.7 |
274 | 2025-03-20 22:25:04 | factored | 1 | 82945 | 1 | 6.766 | 12259.1 |
273 | 2025-03-12 20:14:20 | factored | 1 | 82945 | 1 | 5.906 | 14044.2 |
272 | 2025-03-10 17:08:14 | factored | 3 | 146162 | 140 | 22.986 | 6358.7 |
271 | 2025-03-10 11:55:31 | factored | 3 | 146162 | 140 | 34.846 | 4194.5 |
270 | 2025-03-10 11:01:28 | factored | 1 | 82945 | 1 | 6.110 | 13575.3 |
269 | 2025-02-24 11:12:20 | factored | 1 | 82945 | 1 | 5.890 | 14082.3 |
268 | 2025-02-09 16:52:48 | factored | 1 | 82945 | 1 | 7.296 | 11368.6 |
267 | 2025-01-31 07:03:22 | factored | 1 | 82945 | 1 | 3.110 | 26670.4 |
266 | 2025-01-05 09:28:34 | factored | 1 | 82945 | 1 | 7.110 | 11666.0 |
265 | 2025-01-05 09:01:14 | factored | 2 | 121059 | 17 | 15.660 | 7730.5 |
264 | 2025-01-03 14:33:56 | factored | 2 | 121059 | 17 | 3.890 | 31120.6 |
263 | 2025-01-01 19:08:49 | factored | 1 | 82945 | 1 | 3.593 | 23085.2 |
262 | 2024-12-30 18:32:39 | factored | 2 | 121059 | 17 | 20.423 | 5927.6 |
261 | 2024-12-29 11:30:53 | factored | 3 | 146162 | 140 | 43.330 | 3373.2 |
260 | 2024-12-28 10:47:59 | factored | 3 | 146162 | 140 | 37.953 | 3851.1 |
259 | 2024-12-28 10:46:23 | factored | 3 | 146162 | 140 | 28.586 | 5113.1 |
258 | 2024-12-28 09:41:19 | factored | 2 | 121059 | 17 | 14.483 | 8358.7 |
257 | 2024-12-28 09:40:53 | factored | 3 | 146162 | 140 | 10.623 | 13759.0 |
256 | 2024-12-28 09:40:49 | factored | 1 | 82945 | 1 | 2.876 | 28840.4 |
255 | 2024-12-17 10:12:13 | factored | 1 | 82945 | 1 | 7.250 | 11440.7 |
254 | 2024-11-30 22:33:05 | factored | 1 | 82945 | 1 | 5.093 | 16286.1 |
253 | 2024-11-27 16:58:06 | factored | 1 | 82945 | 1 | 1.500 | 55296.7 |
252 | 2024-11-11 16:31:05 | factored | 2 | 121059 | 17 | 12.843 | 9426.1 |
251 | 2024-11-11 05:43:04 | factored | 1 | 82945 | 1 | 1.266 | 65517.4 |
250 | 2024-11-05 22:15:30 | factored | 3 | 146162 | 140 | 37.610 | 3886.3 |
249 | 2024-11-05 22:15:31 | factored | 2 | 121059 | 17 | 17.156 | 7056.4 |
248 | 2024-11-03 23:13:42 | factored | 2 | 121059 | 17 | 4.626 | 26169.3 |
247 | 2024-10-31 07:56:01 | factored | 3 | 146162 | 140 | 33.016 | 4427.0 |
246 | 2024-10-31 06:09:07 | factored | 3 | 146162 | 140 | 11.546 | 12659.1 |
245 | 2024-10-30 20:15:34 | factored | 1 | 82945 | 1 | 6.720 | 12343.0 |
244 | 2024-10-30 20:08:43 | factored | 3 | 146162 | 140 | 8.876 | 16467.1 |
243 | 2024-10-30 20:08:44 | factored | 2 | 121059 | 17 | 3.936 | 30756.9 |
242 | 2024-10-28 13:55:06 | factored | 1 | 82945 | 1 | 6.690 | 12398.4 |
241 | 2024-10-26 08:46:11 | factored | 1 | 82945 | 1 | 3.876 | 21399.6 |
240 | 2024-10-11 17:54:04 | factored | 1 | 82945 | 1 | 4.126 | 20103.0 |
239 | 2024-09-21 16:13:16 | factored | 1 | 82945 | 1 | 6.606 | 12556.0 |
238 | 2024-09-18 19:08:01 | factored | 1 | 82945 | 1 | 12.796 | 6482.1 |
237 | 2024-09-18 17:56:47 | factored | 1 | 82945 | 1 | 9.796 | 8467.2 |
236 | 2024-09-03 09:15:02 | factored | 1 | 82945 | 1 | 9.906 | 8373.2 |
235 | 2024-08-25 02:40:20 | factored | 1 | 82945 | 1 | 9.750 | 8507.2 |
234 | 2024-08-10 08:26:41 | factored | 1 | 82945 | 1 | 5.673 | 14621.0 |
233 | 2024-07-31 04:08:02 | factored | 1 | 82945 | 1 | 3.013 | 27529.0 |
232 | 2024-07-31 00:12:23 | factored | 2 | 121059 | 17 | 18.470 | 6554.4 |
231 | 2024-07-30 12:52:50 | factored | 1 | 82945 | 1 | 1.516 | 54713.1 |
230 | 2024-07-30 08:49:22 | factored | 2 | 121059 | 17 | 11.470 | 10554.4 |
229 | 2024-07-30 03:24:10 | factored | 2 | 121059 | 17 | 13.156 | 9201.8 |
228 | 2024-07-30 03:23:53 | factored | 1 | 82945 | 1 | 4.220 | 19655.2 |
227 | 2024-07-19 18:02:16 | factored | 3 | 146162 | 140 | 37.406 | 3907.4 |
226 | 2024-07-18 12:21:44 | factored | 3 | 146162 | 140 | 32.673 | 4473.5 |
225 | 2024-07-18 09:47:43 | factored | 1 | 82945 | 1 | 4.800 | 17280.2 |
224 | 2024-07-18 09:20:02 | factored | 3 | 146162 | 140 | 20.830 | 7016.9 |
223 | 2024-07-18 09:20:15 | factored | 2 | 121059 | 17 | 6.986 | 17328.8 |
222 | 2024-07-17 10:00:46 | factored | 3 | 146162 | 140 | 24.470 | 5973.1 |
221 | 2024-07-16 07:23:54 | factored | 3 | 146162 | 140 | 25.360 | 5763.5 |
220 | 2024-07-16 07:23:54 | factored | 2 | 121059 | 17 | 13.736 | 8813.3 |
219 | 2024-07-12 13:26:07 | factored | 1 | 82945 | 1 | 7.296 | 11368.6 |
218 | 2024-07-10 20:38:04 | factored | 1 | 82945 | 1 | 5.720 | 14500.9 |
217 | 2024-06-29 01:00:35 | factored | 1 | 82945 | 1 | 3.406 | 24352.6 |
216 | 2024-06-28 14:51:34 | factored | 1 | 82945 | 1 | 7.893 | 10508.7 |
215 | 2024-06-23 07:57:44 | factored | 2 | 121059 | 17 | 12.126 | 9983.4 |