History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scaliest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
374 | 2024-04-28 07:02:42 | scaliest | 1 | 82945 | 3 | 1.530 | 54212.4 |
373 | 2024-04-28 03:01:15 | scaliest | 2 | 121059 | 42 | 8.970 | 13496.0 |
372 | 2024-03-29 19:08:50 | scaliest | 1 | 82945 | 3 | 1.466 | 56579.1 |
371 | 2024-03-01 21:48:02 | scaliest | 2 | 121059 | 42 | 12.640 | 9577.5 |
370 | 2024-03-01 07:11:44 | scaliest | 2 | 121059 | 42 | 4.890 | 24756.4 |
369 | 2024-03-01 07:09:09 | scaliest | 3 | 146162 | 371 | 7.470 | 19566.5 |
368 | 2024-02-28 12:15:16 | scaliest | 1 | 82945 | 3 | 2.673 | 31030.7 |
367 | 2024-02-28 04:29:56 | scaliest | 2 | 121059 | 42 | 6.360 | 19034.4 |
366 | 2024-02-28 04:28:36 | scaliest | 3 | 146162 | 371 | 8.466 | 17264.6 |
365 | 2024-02-28 03:42:25 | scaliest | 3 | 146162 | 371 | 13.046 | 11203.6 |
364 | 2024-02-28 03:42:28 | scaliest | 2 | 121059 | 42 | 4.390 | 27576.1 |
363 | 2024-02-28 03:42:21 | scaliest | 1 | 82945 | 3 | 1.546 | 53651.4 |
362 | 2024-02-20 14:43:22 | scaliest | 1 | 82945 | 3 | 2.156 | 38471.7 |
361 | 2024-02-18 17:47:12 | scaliest | 1 | 82945 | 3 | 1.280 | 64800.8 |
360 | 2023-12-21 03:20:56 | scaliest | 2 | 121059 | 42 | 3.186 | 37997.2 |
359 | 2023-12-06 20:17:40 | scaliest | 1 | 82945 | 3 | 1.440 | 57600.7 |
358 | 2023-12-06 15:25:30 | scaliest | 1 | 82945 | 3 | 1.513 | 54821.5 |
357 | 2023-11-25 02:40:37 | scaliest | 1 | 82945 | 3 | 1.343 | 61761.0 |
356 | 2023-11-10 00:33:49 | scaliest | 1 | 82945 | 3 | 1.356 | 61168.9 |
355 | 2023-11-06 03:19:05 | scaliest | 1 | 82945 | 3 | 1.420 | 58412.0 |
354 | 2023-10-30 16:17:37 | scaliest | 1 | 82945 | 3 | 1.500 | 55296.7 |
353 | 2023-09-29 15:33:44 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
352 | 2023-09-22 19:38:18 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
351 | 2023-09-21 21:51:03 | scaliest | 2 | 121059 | 42 | 3.250 | 37248.9 |
350 | 2023-09-14 12:35:41 | scaliest | 1 | 82945 | 3 | 1.423 | 58288.8 |
349 | 2023-07-20 09:20:24 | scaliest | 1 | 82945 | 3 | 1.516 | 54713.1 |
348 | 2023-07-15 04:47:01 | scaliest | 1 | 82945 | 3 | 1.326 | 62552.8 |
347 | 2023-06-25 21:17:05 | scaliest | 2 | 121059 | 42 | 3.203 | 37795.5 |
346 | 2023-05-28 08:48:50 | scaliest | 1 | 82945 | 3 | 1.266 | 65517.4 |
345 | 2023-04-21 00:32:27 | scaliest | 1 | 82945 | 3 | 1.266 | 65517.4 |
344 | 2023-03-20 13:34:29 | scaliest | 1 | 82945 | 3 | 1.420 | 58412.0 |
343 | 2023-03-19 12:54:02 | scaliest | 2 | 121059 | 42 | 3.220 | 37596.0 |
342 | 2023-02-12 01:50:37 | scaliest | 1 | 82945 | 3 | 1.296 | 64000.8 |
341 | 2022-12-20 17:18:54 | scaliest | 2 | 121059 | 42 | 6.936 | 17453.7 |
340 | 2022-12-08 07:38:51 | scaliest | 1 | 82945 | 3 | 1.266 | 65517.4 |
339 | 2022-11-22 10:12:10 | scaliest | 1 | 82945 | 3 | 1.550 | 53512.9 |
338 | 2022-08-18 11:13:18 | scaliest | 2 | 121059 | 42 | 3.250 | 37248.9 |
337 | 2022-08-08 23:52:28 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
336 | 2022-07-29 15:04:03 | scaliest | 1 | 82945 | 3 | 1.296 | 64000.8 |
335 | 2022-07-26 04:53:23 | scaliest | 1 | 82945 | 3 | 1.280 | 64800.8 |
334 | 2022-05-16 11:09:02 | scaliest | 1 | 82945 | 3 | 1.593 | 52068.4 |
333 | 2022-04-02 16:45:30 | scaliest | 1 | 82945 | 3 | 1.420 | 58412.0 |
332 | 2022-03-31 17:12:10 | scaliest | 1 | 82945 | 3 | 1.843 | 45005.4 |
331 | 2022-03-16 11:36:47 | scaliest | 2 | 121059 | 42 | 4.016 | 30144.2 |
330 | 2022-01-04 08:00:48 | scaliest | 1 | 82945 | 3 | 1.423 | 58288.8 |
329 | 2022-01-02 05:00:24 | scaliest | 1 | 82945 | 3 | 1.486 | 55817.6 |
328 | 2021-12-13 23:30:27 | scaliest | 1 | 82945 | 3 | 1.440 | 57600.7 |
327 | 2021-08-31 03:04:08 | scaliest | 1 | 82945 | 3 | 1.296 | 64000.8 |
326 | 2021-05-27 01:40:27 | scaliest | 1 | 82945 | 3 | 1.546 | 53651.4 |
325 | 2021-05-08 12:06:04 | scaliest | 3 | 146162 | 371 | 7.533 | 19402.9 |
324 | 2021-04-04 02:32:33 | scaliest | 2 | 121059 | 42 | 3.920 | 30882.4 |
323 | 2021-04-01 20:08:03 | scaliest | 3 | 146162 | 371 | 7.593 | 19249.6 |
322 | 2021-03-08 12:24:04 | scaliest | 2 | 121059 | 42 | 3.423 | 35366.3 |
321 | 2021-02-21 17:49:46 | scaliest | 1 | 82945 | 3 | 1.326 | 62552.8 |
320 | 2021-01-19 09:58:57 | scaliest | 2 | 121059 | 42 | 3.233 | 37444.8 |
319 | 2021-01-16 20:28:29 | scaliest | 3 | 146162 | 371 | 7.453 | 19611.2 |
318 | 2021-01-08 23:15:48 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
317 | 2020-11-18 14:28:29 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
316 | 2020-11-03 04:29:24 | scaliest | 2 | 121059 | 42 | 3.390 | 35710.6 |
315 | 2020-11-02 04:03:15 | scaliest | 3 | 146162 | 371 | 6.800 | 21494.4 |
314 | 2020-10-30 20:40:18 | scaliest | 3 | 146162 | 371 | 7.576 | 19292.8 |
313 | 2020-10-28 05:22:18 | scaliest | 3 | 146162 | 371 | 7.736 | 18893.7 |
312 | 2020-10-17 17:47:35 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
311 | 2020-10-15 12:50:18 | scaliest | 1 | 82945 | 3 | 1.373 | 60411.5 |
310 | 2020-10-04 19:19:55 | scaliest | 2 | 121059 | 42 | 3.283 | 36874.5 |
309 | 2020-09-27 09:37:11 | scaliest | 1 | 82945 | 3 | 1.326 | 62552.8 |
308 | 2020-08-24 06:53:54 | scaliest | 1 | 82945 | 3 | 1.500 | 55296.7 |
307 | 2020-08-18 17:20:54 | scaliest | 1 | 82945 | 3 | 1.483 | 55930.5 |
306 | 2020-08-15 13:11:02 | scaliest | 1 | 82945 | 3 | 1.593 | 52068.4 |
305 | 2020-08-03 06:24:30 | scaliest | 2 | 121059 | 42 | 3.296 | 36729.1 |
304 | 2020-08-02 05:45:28 | scaliest | 1 | 82945 | 3 | 1.453 | 57085.3 |
303 | 2020-07-25 11:03:00 | scaliest | 1 | 82945 | 3 | 1.343 | 61761.0 |
302 | 2020-05-14 07:57:41 | scaliest | 1 | 82945 | 3 | 1.313 | 63172.1 |
301 | 2020-03-29 12:26:58 | scaliest | 1 | 82945 | 3 | 1.563 | 53067.8 |
300 | 2020-03-21 03:32:03 | scaliest | 1 | 82945 | 3 | 1.343 | 61761.0 |
299 | 2020-02-27 23:15:45 | scaliest | 1 | 82945 | 3 | 1.606 | 51646.9 |
298 | 2020-02-27 22:03:48 | scaliest | 1 | 82945 | 3 | 1.563 | 53067.8 |
297 | 2020-02-25 16:37:41 | scaliest | 1 | 82945 | 3 | 3.123 | 26559.4 |
296 | 2020-02-24 19:19:38 | scaliest | 1 | 82945 | 3 | 1.563 | 53067.8 |
295 | 2020-02-12 18:49:07 | scaliest | 1 | 82945 | 3 | 1.640 | 50576.2 |
294 | 2020-02-11 17:29:56 | scaliest | 1 | 82945 | 3 | 4.203 | 19734.7 |
293 | 2020-02-11 09:07:11 | scaliest | 1 | 82945 | 3 | 2.296 | 36125.9 |
292 | 2020-02-05 05:27:06 | scaliest | 1 | 82945 | 3 | 3.250 | 25521.5 |
291 | 2020-01-31 12:00:10 | scaliest | 1 | 82945 | 3 | 1.563 | 53067.8 |
290 | 2020-01-30 13:49:50 | scaliest | 1 | 82945 | 3 | 3.330 | 24908.4 |
289 | 2020-01-27 21:44:38 | scaliest | 1 | 82945 | 3 | 1.266 | 65517.4 |
288 | 2020-01-21 19:04:47 | scaliest | 1 | 82945 | 3 | 3.393 | 24445.9 |
287 | 2020-01-19 08:52:35 | scaliest | 1 | 82945 | 3 | 2.983 | 27805.9 |
286 | 2020-01-14 08:10:52 | scaliest | 1 | 82945 | 3 | 1.750 | 47397.1 |
285 | 2020-01-06 20:05:36 | scaliest | 1 | 82945 | 3 | 2.390 | 34705.0 |
284 | 2019-12-30 19:58:23 | scaliest | 1 | 82945 | 3 | 1.470 | 56425.2 |
283 | 2019-12-29 04:48:02 | scaliest | 1 | 82945 | 3 | 1.516 | 54713.1 |
282 | 2019-12-28 18:55:57 | scaliest | 1 | 82945 | 3 | 1.453 | 57085.3 |
281 | 2019-12-06 03:04:27 | scaliest | 1 | 82945 | 3 | 1.453 | 57085.3 |
280 | 2019-11-11 13:28:34 | scaliest | 1 | 82945 | 3 | 1.516 | 54713.1 |
279 | 2019-08-10 06:03:43 | scaliest | 1 | 82945 | 3 | 1.246 | 66569.0 |
278 | 2019-05-10 10:13:12 | scaliest | 1 | 82945 | 3 | 1.520 | 54569.1 |
277 | 2019-02-18 15:45:44 | scaliest | 1 | 82945 | 3 | 1.286 | 64498.4 |
276 | 2019-01-28 21:17:28 | scaliest | 1 | 82945 | 3 | 1.396 | 59416.2 |
275 | 2019-01-28 20:48:03 | scaliest | 1 | 82945 | 3 | 1.500 | 55296.7 |