History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"graininess"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
307 | 2024-05-08 00:48:01 | graininess | 1 | 67641 | 3 | 1.156 | 58513.0 |
306 | 2024-05-07 13:21:31 | graininess | 1 | 67641 | 3 | 1.330 | 50857.9 |
305 | 2024-05-05 16:23:45 | graininess | 1 | 67641 | 3 | 2.453 | 27574.8 |
304 | 2024-05-05 16:02:36 | graininess | 1 | 67641 | 3 | 1.110 | 60937.8 |
303 | 2024-05-04 16:24:29 | graininess | 2 | 108824 | 11 | 3.280 | 33178.0 |
302 | 2024-04-25 04:34:28 | graininess | 3 | 140603 | 92 | 26.016 | 5404.5 |
301 | 2024-04-25 04:34:25 | graininess | 2 | 108824 | 11 | 5.390 | 20190.0 |
300 | 2024-04-25 04:06:14 | graininess | 1 | 67641 | 3 | 2.656 | 25467.2 |
299 | 2024-04-11 19:39:54 | graininess | 4 | 161450 | 538 | 41.813 | 3861.2 |
298 | 2024-04-11 03:00:09 | graininess | 1 | 67641 | 3 | 1.156 | 58513.0 |
297 | 2024-04-11 02:07:12 | graininess | 3 | 140603 | 92 | 6.796 | 20689.1 |
296 | 2024-04-06 00:26:08 | graininess | 2 | 108824 | 11 | 10.436 | 10427.8 |
295 | 2024-04-05 16:15:52 | graininess | 4 | 161450 | 538 | 16.860 | 9575.9 |
294 | 2024-04-05 11:30:32 | graininess | 4 | 161450 | 538 | 55.240 | 2922.7 |
293 | 2024-04-05 11:30:30 | graininess | 3 | 140603 | 92 | 16.423 | 8561.3 |
292 | 2024-04-05 11:30:30 | graininess | 2 | 108824 | 11 | 4.406 | 24699.0 |
291 | 2024-04-05 11:14:30 | graininess | 1 | 67641 | 3 | 4.030 | 16784.4 |
290 | 2024-03-26 03:30:01 | graininess | 1 | 67641 | 3 | 1.126 | 60071.9 |
289 | 2024-03-19 23:40:06 | graininess | 1 | 67641 | 3 | 1.296 | 52192.1 |
288 | 2024-03-11 08:50:50 | graininess | 4 | 161450 | 538 | 29.236 | 5522.3 |
287 | 2024-03-03 15:38:21 | graininess | 2 | 108824 | 11 | 7.563 | 14389.0 |
286 | 2024-03-03 15:30:45 | graininess | 1 | 67641 | 3 | 3.736 | 18105.2 |
285 | 2024-03-01 20:35:56 | graininess | 4 | 161450 | 538 | 34.830 | 4635.4 |
284 | 2024-02-23 02:14:19 | graininess | 4 | 161450 | 538 | 13.656 | 11822.6 |
283 | 2024-02-23 02:14:19 | graininess | 3 | 140603 | 92 | 12.550 | 11203.4 |
282 | 2024-02-23 02:14:18 | graininess | 2 | 108824 | 11 | 3.516 | 30951.1 |
281 | 2024-02-22 16:14:39 | graininess | 1 | 67641 | 3 | 1.220 | 55443.4 |
280 | 2024-02-16 19:13:19 | graininess | 1 | 67641 | 3 | 1.126 | 60071.9 |
279 | 2024-02-07 20:28:12 | graininess | 3 | 140603 | 92 | 9.250 | 15200.3 |
278 | 2024-02-07 20:28:08 | graininess | 2 | 108824 | 11 | 3.623 | 30037.0 |
277 | 2024-02-07 20:19:46 | graininess | 1 | 67641 | 3 | 1.110 | 60937.8 |
276 | 2024-01-29 09:43:35 | graininess | 1 | 67641 | 3 | 2.203 | 30704.0 |
275 | 2024-01-22 12:10:48 | graininess | 1 | 67641 | 3 | 1.280 | 52844.5 |
274 | 2024-01-06 17:08:57 | graininess | 4 | 161450 | 538 | 11.236 | 14369.0 |
273 | 2023-12-29 07:54:41 | graininess | 2 | 108824 | 11 | 2.626 | 41441.0 |
272 | 2023-12-18 21:04:05 | graininess | 1 | 67641 | 3 | 1.123 | 60232.4 |
271 | 2023-12-15 03:49:47 | graininess | 1 | 67641 | 3 | 1.110 | 60937.8 |
270 | 2023-12-13 04:27:35 | graininess | 4 | 161450 | 538 | 26.580 | 6074.1 |
269 | 2023-12-12 20:10:43 | graininess | 4 | 161450 | 538 | 10.483 | 15401.1 |
268 | 2023-12-09 00:19:44 | graininess | 3 | 140603 | 92 | 5.906 | 23806.8 |
267 | 2023-12-07 18:31:36 | graininess | 4 | 161450 | 538 | 9.986 | 16167.6 |
266 | 2023-12-05 02:53:24 | graininess | 1 | 67641 | 3 | 0.966 | 70021.7 |
265 | 2023-12-03 11:27:34 | graininess | 1 | 67641 | 3 | 1.076 | 62863.4 |
264 | 2023-11-11 05:22:17 | graininess | 1 | 67641 | 3 | 1.093 | 61885.6 |
263 | 2023-10-31 01:11:48 | graininess | 4 | 161450 | 538 | 13.986 | 11543.7 |
262 | 2023-10-24 21:52:34 | graininess | 1 | 67641 | 3 | 1.093 | 61885.6 |
261 | 2023-10-02 12:31:51 | graininess | 2 | 108824 | 11 | 2.623 | 41488.4 |
260 | 2023-09-19 20:39:15 | graininess | 1 | 67641 | 3 | 1.080 | 62630.6 |
259 | 2023-09-14 18:06:01 | graininess | 4 | 161450 | 538 | 28.566 | 5651.8 |
258 | 2023-09-07 06:18:27 | graininess | 4 | 161450 | 538 | 9.656 | 16720.2 |
257 | 2023-09-06 13:23:40 | graininess | 3 | 140603 | 92 | 5.500 | 25564.2 |
256 | 2023-08-12 17:37:13 | graininess | 1 | 67641 | 3 | 1.000 | 67641.0 |
255 | 2023-07-14 14:53:36 | graininess | 1 | 67641 | 3 | 1.000 | 67641.0 |
254 | 2023-07-14 03:34:58 | graininess | 2 | 108824 | 11 | 2.610 | 41695.0 |
253 | 2023-06-02 05:21:47 | graininess | 4 | 161450 | 538 | 11.483 | 14059.9 |
252 | 2023-05-28 17:39:42 | graininess | 4 | 161450 | 538 | 9.673 | 16690.8 |
251 | 2023-05-22 05:50:49 | graininess | 3 | 140603 | 92 | 5.453 | 25784.5 |
250 | 2023-04-20 11:59:56 | graininess | 1 | 67641 | 3 | 1.000 | 67641.0 |
249 | 2023-04-20 01:23:49 | graininess | 1 | 67641 | 3 | 0.970 | 69733.0 |
248 | 2023-03-29 01:49:04 | graininess | 2 | 108824 | 11 | 2.626 | 41441.0 |
247 | 2023-03-09 00:43:39 | graininess | 4 | 161450 | 538 | 9.610 | 16800.2 |
246 | 2023-02-28 18:36:10 | graininess | 3 | 140603 | 92 | 5.326 | 26399.4 |
245 | 2023-02-05 16:26:57 | graininess | 1 | 67641 | 3 | 0.983 | 68810.8 |
244 | 2022-12-31 14:56:52 | graininess | 1 | 67641 | 3 | 1.076 | 62863.4 |
243 | 2022-12-26 07:29:33 | graininess | 2 | 108824 | 11 | 2.610 | 41695.0 |
242 | 2022-12-12 10:49:24 | graininess | 4 | 161450 | 538 | 9.516 | 16966.2 |
241 | 2022-12-10 09:04:20 | graininess | 3 | 140603 | 92 | 5.346 | 26300.6 |
240 | 2022-12-04 14:06:49 | graininess | 1 | 67641 | 3 | 0.970 | 69733.0 |
239 | 2022-09-17 17:28:26 | graininess | 4 | 161450 | 538 | 9.733 | 16587.9 |
238 | 2022-08-26 17:44:38 | graininess | 2 | 108824 | 11 | 2.923 | 37230.2 |
237 | 2022-08-24 00:33:50 | graininess | 1 | 67641 | 3 | 0.970 | 69733.0 |
236 | 2022-08-03 22:40:47 | graininess | 1 | 67641 | 3 | 1.093 | 61885.6 |
235 | 2022-07-29 14:02:21 | graininess | 4 | 161450 | 538 | 11.110 | 14532.0 |
234 | 2022-07-25 02:28:23 | graininess | 3 | 140603 | 92 | 5.406 | 26008.7 |
233 | 2022-06-18 16:41:36 | graininess | 2 | 108824 | 11 | 2.593 | 41968.4 |
232 | 2022-06-10 09:00:02 | graininess | 4 | 161450 | 538 | 10.500 | 15376.2 |
231 | 2022-05-18 16:46:36 | graininess | 1 | 67641 | 3 | 1.033 | 65480.2 |
230 | 2022-05-02 04:00:26 | graininess | 4 | 161450 | 538 | 9.610 | 16800.2 |
229 | 2022-04-16 11:06:13 | graininess | 1 | 67641 | 3 | 1.016 | 66575.8 |
228 | 2022-03-22 14:53:20 | graininess | 1 | 67641 | 3 | 1.453 | 46552.6 |
227 | 2022-03-20 12:20:18 | graininess | 1 | 67641 | 3 | 1.000 | 67641.0 |
226 | 2022-03-20 09:20:57 | graininess | 4 | 161450 | 538 | 11.253 | 14347.3 |
225 | 2022-03-16 22:45:38 | graininess | 4 | 161450 | 538 | 12.313 | 13112.2 |
224 | 2022-03-04 18:14:39 | graininess | 4 | 161450 | 538 | 10.220 | 15797.5 |
223 | 2022-01-31 04:30:00 | graininess | 2 | 108824 | 11 | 2.720 | 40008.8 |
222 | 2022-01-29 00:27:29 | graininess | 2 | 108824 | 11 | 2.643 | 41174.4 |
221 | 2021-12-31 15:32:23 | graininess | 1 | 67641 | 3 | 1.296 | 52192.1 |
220 | 2021-12-24 08:12:06 | graininess | 1 | 67641 | 3 | 1.046 | 64666.3 |
219 | 2021-12-22 04:50:27 | graininess | 1 | 67641 | 3 | 1.016 | 66575.8 |
218 | 2021-11-13 21:49:50 | graininess | 2 | 108824 | 11 | 5.406 | 20130.2 |
217 | 2021-11-08 10:51:53 | graininess | 1 | 67641 | 3 | 1.140 | 59334.2 |
216 | 2021-11-06 10:38:28 | graininess | 1 | 67641 | 3 | 1.156 | 58513.0 |
215 | 2021-09-14 22:14:11 | graininess | 1 | 67641 | 3 | 1.093 | 61885.6 |
214 | 2021-07-05 12:10:11 | graininess | 4 | 161450 | 538 | 11.953 | 13507.1 |
213 | 2021-07-02 00:40:02 | graininess | 4 | 161450 | 538 | 11.033 | 14633.4 |
212 | 2021-06-14 21:18:32 | graininess | 1 | 67641 | 3 | 1.140 | 59334.2 |
211 | 2021-05-29 16:15:56 | graininess | 1 | 67641 | 3 | 1.153 | 58665.2 |
210 | 2021-04-02 06:56:48 | graininess | 1 | 67641 | 3 | 1.000 | 67641.0 |
209 | 2021-03-15 11:52:09 | graininess | 1 | 67641 | 3 | 1.046 | 64666.3 |
208 | 2021-01-17 08:02:32 | graininess | 1 | 67641 | 3 | 1.030 | 65670.9 |