History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"metric"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
361 | 2024-02-27 02:26:52 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
360 | 2024-02-26 05:36:40 | metric | 1 | 48755 | 2 | 1.186 | 41108.8 |
359 | 2024-02-07 05:07:26 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
358 | 2024-02-04 14:47:06 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
357 | 2024-02-03 09:52:54 | metric | 1 | 48755 | 2 | 0.813 | 59969.2 |
356 | 2023-12-25 05:37:23 | metric | 3 | 112716 | 392 | 6.143 | 18348.7 |
355 | 2023-12-11 04:15:20 | metric | 2 | 82551 | 41 | 2.190 | 37694.5 |
354 | 2023-12-10 17:24:33 | metric | 3 | 112716 | 392 | 10.250 | 10996.7 |
353 | 2023-12-10 05:17:03 | metric | 2 | 82551 | 41 | 2.720 | 30349.6 |
352 | 2023-12-08 08:41:15 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
351 | 2023-12-07 20:25:22 | metric | 3 | 112716 | 392 | 6.063 | 18590.8 |
350 | 2023-12-01 02:14:52 | metric | 3 | 112716 | 392 | 4.873 | 23130.7 |
349 | 2023-12-01 02:14:46 | metric | 2 | 82551 | 41 | 2.173 | 37989.4 |
348 | 2023-11-13 13:37:34 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
347 | 2023-11-11 03:06:07 | metric | 2 | 82551 | 41 | 2.123 | 38884.1 |
346 | 2023-11-11 03:06:01 | metric | 3 | 112716 | 392 | 5.250 | 21469.7 |
345 | 2023-11-10 23:32:40 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
344 | 2023-11-04 07:32:21 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
343 | 2023-11-02 01:28:36 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
342 | 2023-11-01 17:01:54 | metric | 3 | 112716 | 392 | 4.860 | 23192.6 |
341 | 2023-11-01 17:01:50 | metric | 2 | 82551 | 41 | 2.546 | 32423.8 |
340 | 2023-10-27 17:50:35 | metric | 1 | 48755 | 2 | 0.763 | 63899.1 |
339 | 2023-10-21 07:51:19 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
338 | 2023-10-18 00:45:09 | metric | 1 | 48755 | 2 | 0.876 | 55656.4 |
337 | 2023-10-12 23:23:02 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
336 | 2023-10-12 00:38:12 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
335 | 2023-10-04 19:04:14 | metric | 1 | 48755 | 2 | 0.813 | 59969.2 |
334 | 2023-09-23 09:26:56 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
333 | 2023-09-11 08:11:18 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
332 | 2023-09-11 03:51:34 | metric | 1 | 48755 | 2 | 0.796 | 61250.0 |
331 | 2023-06-24 22:28:05 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
330 | 2023-06-18 09:49:48 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
329 | 2023-04-04 08:30:58 | metric | 1 | 48755 | 2 | 0.810 | 60191.4 |
328 | 2023-03-06 01:57:40 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
327 | 2022-11-28 10:47:48 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
326 | 2022-11-10 05:53:54 | metric | 1 | 48755 | 2 | 0.810 | 60191.4 |
325 | 2022-09-12 11:04:36 | metric | 1 | 48755 | 2 | 0.796 | 61250.0 |
324 | 2022-08-07 02:14:14 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
323 | 2022-07-30 03:18:30 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
322 | 2022-07-28 14:24:42 | metric | 1 | 48755 | 2 | 0.846 | 57630.0 |
321 | 2022-07-21 01:16:49 | metric | 1 | 48755 | 2 | 0.736 | 66243.2 |
320 | 2022-07-17 07:58:30 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
319 | 2022-07-17 05:05:45 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
318 | 2022-07-14 19:28:24 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
317 | 2022-03-20 00:38:52 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
316 | 2022-03-16 14:12:51 | metric | 1 | 48755 | 2 | 1.140 | 42767.5 |
315 | 2022-03-12 14:18:19 | metric | 1 | 48755 | 2 | 0.780 | 62506.4 |
314 | 2021-12-22 22:30:12 | metric | 1 | 48755 | 2 | 0.766 | 63648.8 |
313 | 2021-11-29 09:57:21 | metric | 1 | 48755 | 2 | 0.873 | 55847.7 |
312 | 2021-11-11 05:25:43 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
311 | 2021-09-27 12:13:59 | metric | 1 | 48755 | 2 | 0.810 | 60191.4 |
310 | 2021-09-26 15:59:25 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
309 | 2021-09-21 22:32:18 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
308 | 2021-08-23 04:58:02 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
307 | 2021-06-19 20:10:47 | metric | 1 | 48755 | 2 | 0.843 | 57835.1 |
306 | 2021-05-22 10:10:19 | metric | 1 | 48755 | 2 | 0.906 | 53813.5 |
305 | 2021-05-01 18:47:47 | metric | 1 | 48755 | 2 | 0.906 | 53813.5 |
304 | 2021-03-31 01:46:25 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
303 | 2021-02-16 00:42:29 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
302 | 2021-01-14 14:32:00 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
301 | 2020-12-15 21:40:36 | metric | 1 | 48755 | 2 | 0.766 | 63648.8 |
300 | 2020-11-17 05:43:01 | metric | 1 | 48755 | 2 | 0.810 | 60191.4 |
299 | 2020-11-11 18:21:19 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
298 | 2020-11-10 09:25:59 | metric | 1 | 48755 | 2 | 0.813 | 59969.2 |
297 | 2020-10-30 09:37:38 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
296 | 2020-10-01 14:00:29 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
295 | 2020-08-08 11:21:05 | metric | 1 | 48755 | 2 | 0.766 | 63648.8 |
294 | 2020-08-05 10:00:00 | metric | 1 | 48755 | 2 | 0.796 | 61250.0 |
293 | 2020-05-03 22:12:25 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
292 | 2020-03-27 00:24:04 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
291 | 2020-03-26 22:24:01 | metric | 1 | 48755 | 2 | 0.830 | 58741.0 |
290 | 2020-03-23 06:24:26 | metric | 1 | 48755 | 2 | 0.923 | 52822.3 |
289 | 2020-03-23 04:34:06 | metric | 1 | 48755 | 2 | 0.936 | 52088.7 |
288 | 2020-03-21 21:56:19 | metric | 1 | 48755 | 2 | 0.893 | 54596.9 |
287 | 2020-03-18 15:55:46 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
286 | 2020-02-25 00:41:47 | metric | 1 | 48755 | 2 | 1.890 | 25796.3 |
285 | 2020-02-21 10:29:07 | metric | 1 | 48755 | 2 | 1.313 | 37132.5 |
284 | 2020-02-14 21:20:48 | metric | 1 | 48755 | 2 | 1.826 | 26700.4 |
283 | 2020-02-03 15:36:47 | metric | 1 | 48755 | 2 | 0.983 | 49598.2 |
282 | 2020-02-02 02:35:12 | metric | 1 | 48755 | 2 | 0.906 | 53813.5 |
281 | 2020-02-01 17:36:06 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
280 | 2020-01-31 12:14:47 | metric | 1 | 48755 | 2 | 1.953 | 24964.2 |
279 | 2020-01-27 02:49:20 | metric | 1 | 48755 | 2 | 1.890 | 25796.3 |
278 | 2020-01-27 00:09:16 | metric | 1 | 48755 | 2 | 2.060 | 23667.5 |
277 | 2020-01-24 22:34:13 | metric | 1 | 48755 | 2 | 0.936 | 52088.7 |
276 | 2020-01-21 22:01:17 | metric | 1 | 48755 | 2 | 2.923 | 16679.8 |
275 | 2020-01-13 06:38:54 | metric | 1 | 48755 | 2 | 1.703 | 28628.9 |
274 | 2020-01-13 00:45:24 | metric | 1 | 48755 | 2 | 0.826 | 59025.4 |
273 | 2020-01-10 20:09:22 | metric | 1 | 48755 | 2 | 0.966 | 50471.0 |
272 | 2020-01-10 14:56:03 | metric | 1 | 48755 | 2 | 0.953 | 51159.5 |
271 | 2020-01-04 09:18:53 | metric | 1 | 48755 | 2 | 0.860 | 56691.9 |
270 | 2019-12-26 09:01:11 | metric | 1 | 48755 | 2 | 0.983 | 49598.2 |
269 | 2019-12-26 08:15:47 | metric | 1 | 48755 | 2 | 0.920 | 52994.6 |
268 | 2019-12-26 05:38:03 | metric | 1 | 48755 | 2 | 0.750 | 65006.7 |
267 | 2019-12-25 06:53:09 | metric | 1 | 48755 | 2 | 0.890 | 54780.9 |
266 | 2019-10-31 17:56:58 | metric | 1 | 48755 | 2 | 0.733 | 66514.3 |
265 | 2019-07-30 15:09:25 | metric | 1 | 48755 | 2 | 0.850 | 57358.8 |
264 | 2019-05-12 06:34:05 | metric | 1 | 48755 | 2 | 0.756 | 64490.7 |
263 | 2019-04-29 16:27:05 | metric | 1 | 48755 | 2 | 1.670 | 29194.6 |
262 | 2019-03-09 17:46:57 | metric | 3 | 112716 | 392 | 4.753 | 23714.7 |