History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"metrical"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
332 | 2024-04-29 01:40:32 | metrical | 1 | 82945 | 2 | 1.500 | 55296.7 |
331 | 2024-04-29 00:22:23 | metrical | 1 | 82945 | 2 | 1.733 | 47862.1 |
330 | 2024-04-16 05:49:57 | metrical | 3 | 146162 | 125 | 19.563 | 7471.3 |
329 | 2024-04-13 16:14:21 | metrical | 3 | 146162 | 125 | 7.516 | 19446.8 |
328 | 2024-04-13 04:58:36 | metrical | 3 | 146162 | 125 | 8.860 | 16496.8 |
327 | 2024-04-12 22:36:17 | metrical | 2 | 121059 | 16 | 4.063 | 29795.5 |
326 | 2024-04-12 22:34:01 | metrical | 3 | 146162 | 125 | 8.330 | 17546.5 |
325 | 2024-04-11 08:40:42 | metrical | 2 | 121059 | 16 | 3.703 | 32692.1 |
324 | 2024-04-11 08:40:16 | metrical | 3 | 146162 | 125 | 7.143 | 20462.3 |
323 | 2024-04-06 17:21:05 | metrical | 3 | 146162 | 125 | 8.046 | 18165.8 |
322 | 2024-04-06 17:21:06 | metrical | 2 | 121059 | 16 | 4.140 | 29241.3 |
321 | 2024-04-06 17:21:03 | metrical | 1 | 82945 | 2 | 1.576 | 52630.1 |
320 | 2024-04-01 03:07:23 | metrical | 1 | 82945 | 2 | 5.016 | 16536.1 |
319 | 2024-04-01 03:05:03 | metrical | 2 | 121059 | 16 | 4.656 | 26000.6 |
318 | 2024-03-30 12:21:19 | metrical | 2 | 121059 | 16 | 3.936 | 30756.9 |
317 | 2024-03-29 22:45:41 | metrical | 2 | 121059 | 16 | 9.110 | 13288.6 |
316 | 2024-03-29 22:07:05 | metrical | 1 | 82945 | 2 | 4.233 | 19594.8 |
315 | 2024-03-14 18:17:51 | metrical | 3 | 146162 | 125 | 17.576 | 8316.0 |
314 | 2024-03-14 16:14:16 | metrical | 3 | 146162 | 125 | 16.393 | 8916.1 |
313 | 2024-03-14 03:07:11 | metrical | 3 | 146162 | 125 | 15.563 | 9391.6 |
312 | 2024-03-11 23:31:31 | metrical | 3 | 146162 | 125 | 16.516 | 8849.7 |
311 | 2024-03-11 23:31:33 | metrical | 3 | 146162 | 125 | 9.373 | 15593.9 |
310 | 2024-03-11 23:31:34 | metrical | 2 | 121059 | 16 | 4.733 | 25577.6 |
309 | 2024-03-11 23:31:28 | metrical | 1 | 82945 | 2 | 3.046 | 27230.8 |
308 | 2024-03-11 23:31:18 | metrical | 2 | 121059 | 16 | 5.000 | 24211.8 |
307 | 2024-03-10 12:55:32 | metrical | 2 | 121059 | 16 | 7.876 | 15370.6 |
306 | 2024-02-29 16:47:13 | metrical | 1 | 82945 | 2 | 1.563 | 53067.8 |
305 | 2024-02-28 06:43:29 | metrical | 1 | 82945 | 2 | 1.436 | 57761.1 |
304 | 2024-02-24 08:40:27 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
303 | 2024-02-08 17:59:21 | metrical | 2 | 121059 | 16 | 3.720 | 32542.7 |
302 | 2024-02-06 03:30:50 | metrical | 2 | 121059 | 16 | 3.906 | 30993.1 |
301 | 2024-02-06 03:29:49 | metrical | 2 | 121059 | 16 | 3.640 | 33258.0 |
300 | 2024-02-06 03:29:30 | metrical | 3 | 146162 | 125 | 7.500 | 19488.3 |
299 | 2024-02-06 03:29:09 | metrical | 3 | 146162 | 125 | 8.466 | 17264.6 |
298 | 2024-02-05 10:49:26 | metrical | 3 | 146162 | 125 | 13.093 | 11163.4 |
297 | 2024-02-05 04:11:36 | metrical | 3 | 146162 | 125 | 10.093 | 14481.5 |
296 | 2024-02-04 14:46:58 | metrical | 3 | 146162 | 125 | 7.813 | 18707.5 |
295 | 2024-02-04 14:46:54 | metrical | 2 | 121059 | 16 | 3.920 | 30882.4 |
294 | 2024-02-04 14:46:50 | metrical | 1 | 82945 | 2 | 1.486 | 55817.6 |
293 | 2024-02-04 07:26:00 | metrical | 1 | 82945 | 2 | 4.953 | 16746.4 |
292 | 2023-12-30 16:44:46 | metrical | 3 | 146162 | 125 | 6.546 | 22328.4 |
291 | 2023-12-18 04:20:19 | metrical | 2 | 121059 | 16 | 3.953 | 30624.6 |
290 | 2023-12-16 18:03:36 | metrical | 3 | 146162 | 125 | 10.530 | 13880.5 |
289 | 2023-12-16 18:03:35 | metrical | 2 | 121059 | 16 | 4.330 | 27958.2 |
288 | 2023-12-07 06:11:33 | metrical | 1 | 82945 | 2 | 1.283 | 64649.3 |
287 | 2023-11-30 16:42:58 | metrical | 2 | 121059 | 16 | 3.846 | 31476.6 |
286 | 2023-11-28 18:50:41 | metrical | 3 | 146162 | 125 | 8.453 | 17291.1 |
285 | 2023-11-27 21:34:18 | metrical | 2 | 121059 | 16 | 7.466 | 16214.7 |
284 | 2023-11-24 15:10:44 | metrical | 1 | 82945 | 2 | 1.360 | 60989.0 |
283 | 2023-11-21 08:53:27 | metrical | 1 | 82945 | 2 | 1.500 | 55296.7 |
282 | 2023-11-12 10:34:18 | metrical | 1 | 82945 | 2 | 1.423 | 58288.8 |
281 | 2023-11-10 03:30:49 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
280 | 2023-11-09 12:26:21 | metrical | 3 | 146162 | 125 | 6.593 | 22169.3 |
279 | 2023-11-09 12:26:16 | metrical | 2 | 121059 | 16 | 3.140 | 38553.8 |
278 | 2023-10-26 14:46:47 | metrical | 1 | 82945 | 2 | 1.486 | 55817.6 |
277 | 2023-10-17 09:43:25 | metrical | 1 | 82945 | 2 | 1.266 | 65517.4 |
276 | 2023-10-11 15:48:52 | metrical | 1 | 82945 | 2 | 1.453 | 57085.3 |
275 | 2023-10-04 02:02:02 | metrical | 1 | 82945 | 2 | 1.360 | 60989.0 |
274 | 2023-10-03 14:00:24 | metrical | 3 | 146162 | 125 | 7.280 | 20077.2 |
273 | 2023-09-23 06:17:12 | metrical | 1 | 82945 | 2 | 1.483 | 55930.5 |
272 | 2023-09-21 09:22:30 | metrical | 1 | 82945 | 2 | 1.266 | 65517.4 |
271 | 2023-09-10 20:16:05 | metrical | 1 | 82945 | 2 | 1.530 | 54212.4 |
270 | 2023-08-27 12:05:35 | metrical | 2 | 121059 | 16 | 3.406 | 35542.9 |
269 | 2023-07-28 05:04:06 | metrical | 1 | 82945 | 2 | 1.453 | 57085.3 |
268 | 2023-07-19 13:49:57 | metrical | 1 | 82945 | 2 | 1.283 | 64649.3 |
267 | 2023-07-15 05:30:35 | metrical | 3 | 146162 | 125 | 6.453 | 22650.2 |
266 | 2023-05-12 21:49:01 | metrical | 2 | 121059 | 16 | 3.220 | 37596.0 |
265 | 2023-04-20 04:58:28 | metrical | 1 | 82945 | 2 | 1.263 | 65673.0 |
264 | 2023-04-12 13:54:06 | metrical | 1 | 82945 | 2 | 1.406 | 58993.6 |
263 | 2023-04-03 18:26:44 | metrical | 3 | 146162 | 125 | 6.360 | 22981.4 |
262 | 2023-02-21 08:18:48 | metrical | 2 | 121059 | 16 | 3.140 | 38553.8 |
261 | 2023-02-07 13:21:44 | metrical | 1 | 82945 | 2 | 1.390 | 59672.7 |
260 | 2022-12-30 06:39:32 | metrical | 3 | 146162 | 125 | 13.250 | 11031.1 |
259 | 2022-12-23 14:49:02 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
258 | 2022-12-06 04:27:57 | metrical | 1 | 82945 | 2 | 1.250 | 66356.0 |
257 | 2022-12-01 19:14:41 | metrical | 2 | 121059 | 16 | 3.126 | 38726.5 |
256 | 2022-09-18 06:37:42 | metrical | 1 | 82945 | 2 | 1.280 | 64800.8 |
255 | 2022-09-01 00:59:31 | metrical | 3 | 146162 | 125 | 6.390 | 22873.6 |
254 | 2022-08-23 10:30:25 | metrical | 1 | 82945 | 2 | 1.500 | 55296.7 |
253 | 2022-08-23 10:29:47 | metrical | 1 | 82945 | 2 | 1.406 | 58993.6 |
252 | 2022-08-07 14:30:32 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
251 | 2022-08-07 00:43:46 | metrical | 1 | 82945 | 2 | 1.263 | 65673.0 |
250 | 2022-07-07 22:10:49 | metrical | 2 | 121059 | 16 | 3.250 | 37248.9 |
249 | 2022-05-19 23:34:40 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
248 | 2022-04-19 08:11:19 | metrical | 1 | 82945 | 2 | 1.593 | 52068.4 |
247 | 2022-03-29 18:23:17 | metrical | 1 | 82945 | 2 | 1.470 | 56425.2 |
246 | 2022-03-04 01:40:25 | metrical | 2 | 121059 | 16 | 3.330 | 36354.1 |
245 | 2022-02-08 06:43:11 | metrical | 1 | 82945 | 2 | 1.263 | 65673.0 |
244 | 2022-01-09 19:32:38 | metrical | 1 | 82945 | 2 | 1.326 | 62552.8 |
243 | 2022-01-02 13:17:46 | metrical | 1 | 82945 | 2 | 1.330 | 62364.7 |
242 | 2021-11-05 00:31:29 | metrical | 1 | 82945 | 2 | 1.296 | 64000.8 |
241 | 2021-11-02 22:38:25 | metrical | 1 | 82945 | 2 | 1.593 | 52068.4 |
240 | 2021-10-05 04:42:17 | metrical | 1 | 82945 | 2 | 1.263 | 65673.0 |
239 | 2021-09-30 09:43:10 | metrical | 1 | 82945 | 2 | 1.406 | 58993.6 |
238 | 2021-07-15 01:11:22 | metrical | 2 | 121059 | 16 | 3.186 | 37997.2 |
237 | 2021-07-01 00:11:11 | metrical | 1 | 82945 | 2 | 1.393 | 59544.1 |
236 | 2021-05-31 08:08:24 | metrical | 1 | 82945 | 2 | 1.310 | 63316.8 |
235 | 2021-05-04 05:15:17 | metrical | 2 | 121059 | 16 | 3.580 | 33815.4 |
234 | 2021-04-04 05:56:51 | metrical | 1 | 82945 | 2 | 1.300 | 63803.8 |
233 | 2021-04-02 07:56:00 | metrical | 2 | 121059 | 16 | 3.516 | 34430.9 |