History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"examples"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
305 | 2024-05-06 15:27:40 | examples | 2 | 121059 | 9 | 12.046 | 10049.7 |
304 | 2024-05-06 15:27:41 | examples | 1 | 82945 | 3 | 3.063 | 27079.7 |
303 | 2024-05-06 15:27:21 | examples | 3 | 146162 | 89 | 13.780 | 10606.8 |
302 | 2024-05-06 15:27:28 | examples | 1 | 82945 | 3 | 2.360 | 35146.2 |
301 | 2024-05-06 15:27:17 | examples | 2 | 121059 | 9 | 5.876 | 20602.3 |
300 | 2024-05-05 08:32:35 | examples | 1 | 82945 | 3 | 2.640 | 31418.6 |
299 | 2024-04-29 19:47:59 | examples | 4 | 161609 | 910 | 13.063 | 12371.5 |
298 | 2024-04-16 08:17:23 | examples | 3 | 146162 | 89 | 10.283 | 14213.9 |
297 | 2024-04-14 09:50:19 | examples | 4 | 161609 | 910 | 14.123 | 11443.0 |
296 | 2024-04-14 09:39:02 | examples | 4 | 161609 | 910 | 46.550 | 3471.7 |
295 | 2024-04-13 20:07:04 | examples | 2 | 121059 | 9 | 8.220 | 14727.4 |
294 | 2024-04-13 20:06:52 | examples | 3 | 146162 | 89 | 9.283 | 15745.1 |
293 | 2024-04-13 12:25:17 | examples | 2 | 121059 | 9 | 3.530 | 34294.3 |
292 | 2024-04-13 12:19:53 | examples | 3 | 146162 | 89 | 6.123 | 23871.0 |
291 | 2024-04-12 21:44:52 | examples | 4 | 161609 | 910 | 13.750 | 11753.4 |
290 | 2024-04-12 21:43:09 | examples | 4 | 161609 | 910 | 14.250 | 11341.0 |
289 | 2024-04-12 21:43:13 | examples | 3 | 146162 | 89 | 8.000 | 18270.3 |
288 | 2024-04-12 21:43:05 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
287 | 2024-04-08 08:58:26 | examples | 1 | 82945 | 3 | 6.376 | 13008.9 |
286 | 2024-04-03 19:37:59 | examples | 1 | 82945 | 3 | 4.966 | 16702.6 |
285 | 2024-04-01 02:26:23 | examples | 1 | 82945 | 3 | 1.513 | 54821.5 |
284 | 2024-03-25 18:48:13 | examples | 1 | 82945 | 3 | 1.436 | 57761.1 |
283 | 2024-03-25 18:48:06 | examples | 2 | 121059 | 9 | 3.906 | 30993.1 |
282 | 2024-03-13 04:38:44 | examples | 1 | 82945 | 3 | 1.533 | 54106.3 |
281 | 2024-03-08 11:57:22 | examples | 4 | 161609 | 910 | 45.953 | 3516.8 |
280 | 2024-03-08 03:47:13 | examples | 4 | 161609 | 910 | 13.110 | 12327.2 |
279 | 2024-03-07 04:39:56 | examples | 1 | 82945 | 3 | 5.046 | 16437.8 |
278 | 2024-03-06 05:19:35 | examples | 2 | 121059 | 9 | 13.190 | 9178.1 |
277 | 2024-03-06 05:19:08 | examples | 1 | 82945 | 3 | 3.220 | 25759.3 |
276 | 2024-03-02 05:07:57 | examples | 3 | 146162 | 89 | 22.186 | 6588.0 |
275 | 2024-03-01 14:51:05 | examples | 4 | 161609 | 910 | 18.016 | 8970.3 |
274 | 2024-02-27 11:22:27 | examples | 3 | 146162 | 89 | 7.596 | 19242.0 |
273 | 2024-02-27 04:49:19 | examples | 4 | 161609 | 910 | 24.470 | 6604.4 |
272 | 2024-02-26 09:39:30 | examples | 4 | 161609 | 910 | 18.173 | 8892.8 |
271 | 2024-02-26 09:39:32 | examples | 3 | 146162 | 89 | 7.720 | 18932.9 |
270 | 2024-02-26 09:39:32 | examples | 2 | 121059 | 9 | 4.030 | 30039.5 |
269 | 2024-02-26 09:39:26 | examples | 1 | 82945 | 3 | 1.406 | 58993.6 |
268 | 2024-02-22 14:17:06 | examples | 2 | 121059 | 9 | 18.156 | 6667.7 |
267 | 2024-02-09 20:21:35 | examples | 2 | 121059 | 9 | 3.143 | 38517.0 |
266 | 2024-02-09 20:21:17 | examples | 3 | 146162 | 89 | 7.376 | 19815.9 |
265 | 2024-02-08 12:18:17 | examples | 2 | 121059 | 9 | 4.263 | 28397.6 |
264 | 2024-02-06 04:21:14 | examples | 3 | 146162 | 89 | 7.296 | 20033.2 |
263 | 2024-02-04 18:38:46 | examples | 4 | 161609 | 910 | 12.640 | 12785.5 |
262 | 2024-02-04 12:20:35 | examples | 4 | 161609 | 910 | 21.796 | 7414.6 |
261 | 2024-01-27 06:59:09 | examples | 2 | 121059 | 9 | 3.453 | 35059.1 |
260 | 2024-01-24 16:51:43 | examples | 4 | 161609 | 910 | 22.673 | 7127.8 |
259 | 2024-01-24 16:51:42 | examples | 3 | 146162 | 89 | 7.486 | 19524.7 |
258 | 2024-01-23 16:56:03 | examples | 4 | 161609 | 910 | 41.970 | 3850.6 |
257 | 2024-01-23 16:56:08 | examples | 3 | 146162 | 89 | 8.783 | 16641.5 |
256 | 2024-01-23 16:56:08 | examples | 2 | 121059 | 9 | 7.076 | 17108.4 |
255 | 2024-01-15 07:20:14 | examples | 2 | 121059 | 9 | 8.030 | 15075.8 |
254 | 2024-01-08 19:59:55 | examples | 1 | 82945 | 3 | 1.470 | 56425.2 |
253 | 2023-12-03 08:33:15 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
252 | 2023-11-29 00:19:36 | examples | 1 | 82945 | 3 | 1.343 | 61761.0 |
251 | 2023-11-06 14:15:18 | examples | 2 | 121059 | 9 | 3.563 | 33976.7 |
250 | 2023-11-05 03:25:12 | examples | 1 | 82945 | 3 | 1.250 | 66356.0 |
249 | 2023-10-21 05:33:04 | examples | 3 | 146162 | 89 | 9.656 | 15136.9 |
248 | 2023-10-20 23:29:31 | examples | 4 | 161609 | 910 | 13.140 | 12299.0 |
247 | 2023-10-19 10:59:46 | examples | 4 | 161609 | 910 | 12.970 | 12460.2 |
246 | 2023-10-19 10:59:45 | examples | 3 | 146162 | 89 | 6.966 | 20982.2 |
245 | 2023-10-19 10:59:48 | examples | 2 | 121059 | 9 | 3.703 | 32692.1 |
244 | 2023-10-17 17:40:12 | examples | 1 | 82945 | 3 | 1.373 | 60411.5 |
243 | 2023-10-16 20:32:38 | examples | 1 | 82945 | 3 | 1.376 | 60279.8 |
242 | 2023-08-03 09:17:07 | examples | 1 | 82945 | 3 | 1.233 | 67270.9 |
241 | 2023-04-20 12:49:43 | examples | 1 | 82945 | 3 | 1.220 | 67987.7 |
240 | 2023-04-03 21:08:41 | examples | 1 | 82945 | 3 | 1.343 | 61761.0 |
239 | 2023-03-21 17:18:21 | examples | 1 | 82945 | 3 | 1.203 | 68948.5 |
238 | 2023-02-01 01:14:04 | examples | 1 | 82945 | 3 | 1.220 | 67987.7 |
237 | 2022-12-16 09:11:41 | examples | 1 | 82945 | 3 | 1.216 | 68211.3 |
236 | 2022-12-05 18:26:36 | examples | 1 | 82945 | 3 | 1.216 | 68211.3 |
235 | 2022-11-16 02:46:02 | examples | 1 | 82945 | 3 | 1.233 | 67270.9 |
234 | 2022-11-15 07:23:01 | examples | 1 | 82945 | 3 | 1.406 | 58993.6 |
233 | 2022-10-25 08:07:52 | examples | 1 | 82945 | 3 | 1.220 | 67987.7 |
232 | 2022-08-25 18:17:45 | examples | 1 | 82945 | 3 | 1.250 | 66356.0 |
231 | 2022-08-10 17:05:29 | examples | 1 | 82945 | 3 | 1.250 | 66356.0 |
230 | 2022-08-03 00:51:46 | examples | 1 | 82945 | 3 | 1.376 | 60279.8 |
229 | 2022-08-02 06:16:30 | examples | 1 | 82945 | 3 | 1.233 | 67270.9 |
228 | 2022-07-25 06:54:53 | examples | 1 | 82945 | 3 | 1.266 | 65517.4 |
227 | 2022-07-15 23:25:53 | examples | 1 | 82945 | 3 | 1.436 | 57761.1 |
226 | 2022-06-17 05:01:55 | examples | 1 | 82945 | 3 | 1.736 | 47779.4 |
225 | 2022-06-04 04:31:06 | examples | 1 | 82945 | 3 | 1.266 | 65517.4 |
224 | 2022-05-05 22:19:08 | examples | 1 | 82945 | 3 | 1.393 | 59544.1 |
223 | 2022-04-04 04:55:09 | examples | 1 | 82945 | 3 | 1.250 | 66356.0 |
222 | 2022-02-06 23:12:58 | examples | 1 | 82945 | 3 | 1.563 | 53067.8 |
221 | 2021-12-14 00:15:27 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
220 | 2021-08-24 13:24:05 | examples | 1 | 82945 | 3 | 1.373 | 60411.5 |
219 | 2021-06-18 18:47:06 | examples | 1 | 82945 | 3 | 1.310 | 63316.8 |
218 | 2021-05-21 15:25:15 | examples | 1 | 82945 | 3 | 1.403 | 59119.7 |
217 | 2021-05-13 20:19:37 | examples | 1 | 82945 | 3 | 1.436 | 57761.1 |
216 | 2021-04-30 12:19:46 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
215 | 2021-04-22 07:21:23 | examples | 1 | 82945 | 3 | 1.440 | 57600.7 |
214 | 2021-03-29 20:59:57 | examples | 1 | 82945 | 3 | 1.313 | 63172.1 |
213 | 2021-03-22 01:57:46 | examples | 1 | 82945 | 3 | 2.780 | 29836.3 |
212 | 2021-02-10 06:46:46 | examples | 1 | 82945 | 3 | 1.406 | 58993.6 |
211 | 2021-02-07 16:34:46 | examples | 1 | 82945 | 3 | 1.376 | 60279.8 |
210 | 2021-02-05 14:52:23 | examples | 1 | 82945 | 3 | 1.263 | 65673.0 |
209 | 2021-01-13 12:38:25 | examples | 1 | 82945 | 3 | 1.313 | 63172.1 |
208 | 2020-11-14 13:50:56 | examples | 1 | 82945 | 3 | 1.266 | 65517.4 |
207 | 2020-11-03 12:12:28 | examples | 1 | 82945 | 3 | 1.560 | 53169.9 |
206 | 2020-10-13 10:20:22 | examples | 1 | 82945 | 3 | 1.390 | 59672.7 |