History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cuneal"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
356 | 2024-04-30 17:27:03 | cuneal | 3 | 112716 | 463 | 8.593 | 13117.2 |
355 | 2024-04-30 17:13:40 | cuneal | 1 | 48755 | 1 | 0.923 | 52822.3 |
354 | 2024-04-29 00:52:03 | cuneal | 2 | 82551 | 27 | 2.500 | 33020.4 |
353 | 2024-04-29 00:48:19 | cuneal | 2 | 82551 | 27 | 2.763 | 29877.3 |
352 | 2024-04-29 00:48:15 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
351 | 2024-04-29 00:47:56 | cuneal | 3 | 112716 | 463 | 6.160 | 18298.1 |
350 | 2024-04-28 15:03:20 | cuneal | 3 | 112716 | 463 | 11.830 | 9528.0 |
349 | 2024-04-28 10:24:08 | cuneal | 3 | 112716 | 463 | 6.220 | 18121.5 |
348 | 2024-04-17 15:26:24 | cuneal | 1 | 48755 | 1 | 2.783 | 17518.9 |
347 | 2024-04-07 19:22:26 | cuneal | 1 | 48755 | 1 | 0.906 | 53813.5 |
346 | 2024-04-05 21:21:22 | cuneal | 1 | 48755 | 1 | 3.313 | 14716.3 |
345 | 2024-04-02 20:12:01 | cuneal | 3 | 112716 | 463 | 4.950 | 22770.9 |
344 | 2024-03-31 13:53:42 | cuneal | 3 | 112716 | 463 | 20.720 | 5440.0 |
343 | 2024-03-31 06:50:06 | cuneal | 3 | 112716 | 463 | 11.860 | 9503.9 |
342 | 2024-03-31 06:40:56 | cuneal | 3 | 112716 | 463 | 10.986 | 10260.0 |
341 | 2024-03-28 18:18:25 | cuneal | 1 | 48755 | 1 | 1.610 | 30282.6 |
340 | 2024-03-28 18:18:18 | cuneal | 3 | 112716 | 463 | 8.330 | 13531.3 |
339 | 2024-03-28 18:18:18 | cuneal | 2 | 82551 | 27 | 2.736 | 30172.1 |
338 | 2024-03-28 18:18:17 | cuneal | 1 | 48755 | 1 | 1.033 | 47197.5 |
337 | 2024-03-07 07:20:26 | cuneal | 1 | 48755 | 1 | 0.860 | 56691.9 |
336 | 2024-03-07 03:27:20 | cuneal | 3 | 112716 | 463 | 13.800 | 8167.8 |
335 | 2024-03-06 19:37:24 | cuneal | 1 | 48755 | 1 | 1.013 | 48129.3 |
334 | 2024-03-05 22:18:41 | cuneal | 1 | 48755 | 1 | 1.063 | 45865.5 |
333 | 2024-03-01 02:07:30 | cuneal | 2 | 82551 | 27 | 3.296 | 25045.8 |
332 | 2024-03-01 02:06:59 | cuneal | 3 | 112716 | 463 | 6.826 | 16512.7 |
331 | 2024-02-29 21:25:44 | cuneal | 3 | 112716 | 463 | 5.703 | 19764.3 |
330 | 2024-02-28 16:50:17 | cuneal | 1 | 48755 | 1 | 1.750 | 27860.0 |
329 | 2024-02-28 10:16:13 | cuneal | 1 | 48755 | 1 | 2.390 | 20399.6 |
328 | 2024-02-27 14:10:50 | cuneal | 3 | 112716 | 463 | 6.563 | 17174.5 |
327 | 2024-02-27 14:10:51 | cuneal | 2 | 82551 | 27 | 2.626 | 31436.0 |
326 | 2024-02-27 14:10:48 | cuneal | 1 | 48755 | 1 | 1.766 | 27607.6 |
325 | 2024-01-30 22:02:12 | cuneal | 2 | 82551 | 27 | 5.360 | 15401.3 |
324 | 2024-01-30 22:01:36 | cuneal | 3 | 112716 | 463 | 6.343 | 17770.1 |
323 | 2024-01-30 21:07:36 | cuneal | 3 | 112716 | 463 | 5.610 | 20092.0 |
322 | 2024-01-30 20:44:50 | cuneal | 2 | 82551 | 27 | 2.500 | 33020.4 |
321 | 2024-01-30 20:44:11 | cuneal | 3 | 112716 | 463 | 5.936 | 18988.5 |
320 | 2024-01-30 19:23:47 | cuneal | 3 | 112716 | 463 | 5.266 | 21404.5 |
319 | 2024-01-15 12:17:08 | cuneal | 2 | 82551 | 27 | 2.533 | 32590.2 |
318 | 2024-01-12 17:13:22 | cuneal | 3 | 112716 | 463 | 4.860 | 23192.6 |
317 | 2024-01-07 20:35:58 | cuneal | 3 | 112716 | 463 | 6.160 | 18298.1 |
316 | 2024-01-07 11:51:18 | cuneal | 3 | 112716 | 463 | 5.953 | 18934.3 |
315 | 2023-12-27 17:47:18 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
314 | 2023-12-19 02:35:05 | cuneal | 1 | 48755 | 1 | 0.826 | 59025.4 |
313 | 2023-11-23 21:01:43 | cuneal | 3 | 112716 | 463 | 4.716 | 23900.8 |
312 | 2023-11-17 19:56:10 | cuneal | 1 | 48755 | 1 | 0.763 | 63899.1 |
311 | 2023-11-15 20:06:48 | cuneal | 1 | 48755 | 1 | 1.873 | 26030.4 |
310 | 2023-11-15 04:45:33 | cuneal | 3 | 112716 | 463 | 4.860 | 23192.6 |
309 | 2023-11-07 16:47:38 | cuneal | 1 | 48755 | 1 | 0.813 | 59969.2 |
308 | 2023-11-06 23:55:01 | cuneal | 1 | 48755 | 1 | 0.826 | 59025.4 |
307 | 2023-11-01 17:52:05 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
306 | 2023-10-21 21:29:28 | cuneal | 3 | 112716 | 463 | 5.453 | 20670.5 |
305 | 2023-10-16 13:10:51 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
304 | 2023-10-15 12:24:59 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
303 | 2023-09-26 10:05:17 | cuneal | 1 | 48755 | 1 | 0.890 | 54780.9 |
302 | 2023-09-13 14:17:30 | cuneal | 1 | 48755 | 1 | 0.876 | 55656.4 |
301 | 2023-08-13 10:06:30 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
300 | 2023-07-31 14:17:20 | cuneal | 3 | 112716 | 463 | 5.656 | 19928.6 |
299 | 2023-07-24 03:10:05 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
298 | 2023-07-16 20:46:27 | cuneal | 3 | 112716 | 463 | 4.640 | 24292.2 |
297 | 2023-06-04 01:09:46 | cuneal | 3 | 112716 | 463 | 4.766 | 23650.0 |
296 | 2023-05-13 15:00:17 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
295 | 2023-04-12 09:02:24 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
294 | 2023-04-12 05:55:37 | cuneal | 3 | 112716 | 463 | 4.780 | 23580.8 |
293 | 2023-03-09 09:11:15 | cuneal | 1 | 48755 | 1 | 0.813 | 59969.2 |
292 | 2023-01-18 20:01:39 | cuneal | 3 | 112716 | 463 | 4.610 | 24450.3 |
291 | 2023-01-07 07:08:28 | cuneal | 1 | 48755 | 1 | 0.733 | 66514.3 |
290 | 2022-12-30 12:13:11 | cuneal | 1 | 48755 | 1 | 0.826 | 59025.4 |
289 | 2022-10-29 00:26:57 | cuneal | 3 | 112716 | 463 | 4.983 | 22620.1 |
288 | 2022-09-23 12:36:12 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
287 | 2022-09-19 06:38:32 | cuneal | 1 | 48755 | 1 | 0.733 | 66514.3 |
286 | 2022-08-28 11:44:37 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
285 | 2022-07-14 15:30:52 | cuneal | 2 | 82551 | 27 | 2.106 | 39198.0 |
284 | 2022-06-06 13:03:59 | cuneal | 1 | 48755 | 1 | 0.733 | 66514.3 |
283 | 2022-05-30 12:47:56 | cuneal | 3 | 112716 | 463 | 4.843 | 23274.0 |
282 | 2022-04-29 15:34:59 | cuneal | 1 | 48755 | 1 | 0.906 | 53813.5 |
281 | 2022-02-23 04:07:09 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
280 | 2022-02-19 17:39:49 | cuneal | 1 | 48755 | 1 | 0.876 | 55656.4 |
279 | 2022-02-05 01:09:17 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
278 | 2021-12-12 11:59:15 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
277 | 2021-11-15 01:40:03 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
276 | 2021-11-07 14:45:59 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
275 | 2021-08-15 12:53:27 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
274 | 2021-06-26 15:48:22 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
273 | 2021-05-14 21:22:57 | cuneal | 1 | 48755 | 1 | 1.720 | 28345.9 |
272 | 2021-02-12 00:19:37 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
271 | 2021-01-23 01:01:13 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
270 | 2020-11-27 20:05:47 | cuneal | 1 | 48755 | 1 | 0.750 | 65006.7 |
269 | 2020-11-10 07:21:26 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
268 | 2020-11-04 04:26:02 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
267 | 2020-10-28 10:38:10 | cuneal | 1 | 48755 | 1 | 0.860 | 56691.9 |
266 | 2020-10-12 19:27:39 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
265 | 2020-10-10 09:48:46 | cuneal | 1 | 48755 | 1 | 0.800 | 60943.8 |
264 | 2020-10-08 13:38:44 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
263 | 2020-08-08 05:34:37 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
262 | 2020-08-07 14:48:00 | cuneal | 1 | 48755 | 1 | 0.876 | 55656.4 |
261 | 2020-05-06 05:38:53 | cuneal | 1 | 48755 | 1 | 0.906 | 53813.5 |
260 | 2020-03-28 09:40:56 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
259 | 2020-03-27 07:43:43 | cuneal | 1 | 48755 | 1 | 0.876 | 55656.4 |
258 | 2020-03-26 16:47:28 | cuneal | 1 | 48755 | 1 | 0.920 | 52994.6 |
257 | 2020-03-25 06:39:40 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |