History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sharpest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
387 | 2025-08-17 16:31:40 | sharpest | 1 | 82945 | 1 | 3.703 | 22399.4 |
386 | 2025-08-12 21:22:18 | sharpest | 2 | 121059 | 26 | 12.736 | 9505.3 |
385 | 2025-08-06 15:07:24 | sharpest | 2 | 121059 | 26 | 9.003 | 13446.5 |
384 | 2025-08-06 13:14:48 | sharpest | 3 | 146162 | 215 | 19.686 | 7424.7 |
383 | 2025-08-02 11:02:53 | sharpest | 2 | 121059 | 26 | 9.483 | 12765.9 |
382 | 2025-08-02 10:37:22 | sharpest | 3 | 146162 | 215 | 16.530 | 8842.2 |
381 | 2025-08-02 02:14:50 | sharpest | 1 | 82945 | 1 | 3.470 | 23903.5 |
380 | 2025-08-01 14:29:48 | sharpest | 1 | 82945 | 1 | 6.076 | 13651.3 |
379 | 2025-07-31 16:15:22 | sharpest | 1 | 82945 | 1 | 1.450 | 57203.4 |
378 | 2025-07-31 00:11:39 | sharpest | 1 | 82945 | 1 | 1.513 | 54821.5 |
377 | 2025-07-29 15:05:58 | sharpest | 2 | 121059 | 26 | 9.030 | 13406.3 |
376 | 2025-07-29 14:25:31 | sharpest | 2 | 121059 | 26 | 8.873 | 13643.5 |
375 | 2025-07-29 13:08:24 | sharpest | 3 | 146162 | 215 | 21.533 | 6787.8 |
374 | 2025-07-29 00:53:21 | sharpest | 3 | 146162 | 215 | 41.643 | 3509.9 |
373 | 2025-07-27 02:50:32 | sharpest | 1 | 82945 | 1 | 3.236 | 25632.0 |
372 | 2025-07-26 13:25:07 | sharpest | 1 | 82945 | 1 | 1.533 | 54106.3 |
371 | 2025-07-25 09:58:22 | sharpest | 1 | 82945 | 1 | 3.420 | 24252.9 |
370 | 2025-07-25 06:53:28 | sharpest | 3 | 146162 | 215 | 25.393 | 5756.0 |
369 | 2025-07-25 00:37:03 | sharpest | 2 | 121059 | 26 | 13.670 | 8855.8 |
368 | 2025-07-23 09:31:34 | sharpest | 1 | 82945 | 1 | 4.000 | 20736.3 |
367 | 2025-07-21 16:20:09 | sharpest | 2 | 121059 | 26 | 8.896 | 13608.3 |
366 | 2025-07-21 08:44:12 | sharpest | 2 | 121059 | 26 | 3.703 | 32692.1 |
365 | 2025-07-18 18:39:23 | sharpest | 2 | 121059 | 26 | 8.423 | 14372.4 |
364 | 2025-07-16 02:05:20 | sharpest | 3 | 146162 | 215 | 40.986 | 3566.1 |
363 | 2025-07-15 11:12:06 | sharpest | 2 | 121059 | 26 | 18.520 | 6536.7 |
362 | 2025-07-15 08:51:44 | sharpest | 3 | 146162 | 215 | 23.970 | 6097.7 |
361 | 2025-07-13 17:23:01 | sharpest | 1 | 82945 | 1 | 1.326 | 62552.8 |
360 | 2025-07-12 06:10:07 | sharpest | 1 | 82945 | 1 | 1.530 | 54212.4 |
359 | 2025-07-11 09:37:55 | sharpest | 1 | 82945 | 1 | 10.423 | 7957.9 |
358 | 2025-06-24 12:55:44 | sharpest | 1 | 82945 | 1 | 7.813 | 10616.3 |
357 | 2025-06-21 06:41:00 | sharpest | 1 | 82945 | 1 | 4.860 | 17066.9 |
356 | 2025-06-16 10:04:58 | sharpest | 1 | 82945 | 1 | 5.483 | 15127.7 |
355 | 2025-06-15 07:05:11 | sharpest | 1 | 82945 | 1 | 1.470 | 56425.2 |
354 | 2025-06-10 17:12:19 | sharpest | 1 | 82945 | 1 | 10.656 | 7783.9 |
353 | 2025-05-31 12:22:58 | sharpest | 3 | 146162 | 215 | 42.906 | 3406.6 |
352 | 2025-05-29 18:50:18 | sharpest | 3 | 146162 | 215 | 6.970 | 20970.2 |
351 | 2025-05-29 18:48:45 | sharpest | 2 | 121059 | 26 | 6.033 | 20066.1 |
350 | 2025-05-28 12:31:45 | sharpest | 1 | 82945 | 1 | 1.343 | 61761.0 |
349 | 2025-05-27 14:05:35 | sharpest | 1 | 82945 | 1 | 3.440 | 24111.9 |
348 | 2025-05-22 12:57:17 | sharpest | 1 | 82945 | 1 | 7.733 | 10726.1 |
347 | 2025-05-10 18:33:36 | sharpest | 1 | 82945 | 1 | 8.766 | 9462.1 |
346 | 2025-05-03 09:46:26 | sharpest | 3 | 146162 | 215 | 19.486 | 7500.9 |
345 | 2025-05-01 13:53:14 | sharpest | 3 | 146162 | 215 | 28.706 | 5091.7 |
344 | 2025-05-01 12:22:27 | sharpest | 3 | 146162 | 215 | 41.113 | 3555.1 |
343 | 2025-04-29 06:37:30 | sharpest | 3 | 146162 | 215 | 22.596 | 6468.5 |
342 | 2025-04-29 01:07:51 | sharpest | 3 | 146162 | 215 | 34.440 | 4244.0 |
341 | 2025-04-27 16:17:37 | sharpest | 3 | 146162 | 215 | 17.626 | 8292.4 |
340 | 2025-04-24 03:54:42 | sharpest | 2 | 121059 | 26 | 16.453 | 7357.9 |
339 | 2025-04-23 13:50:10 | sharpest | 1 | 82945 | 1 | 1.453 | 57085.3 |
338 | 2025-04-22 13:01:42 | sharpest | 2 | 121059 | 26 | 5.530 | 21891.3 |
337 | 2025-04-21 22:17:12 | sharpest | 2 | 121059 | 26 | 3.733 | 32429.4 |
336 | 2025-04-21 17:07:43 | sharpest | 1 | 82945 | 1 | 7.716 | 10749.7 |
335 | 2025-04-20 06:06:12 | sharpest | 1 | 82945 | 1 | 7.903 | 10495.4 |
334 | 2025-04-04 16:17:26 | sharpest | 1 | 82945 | 1 | 3.906 | 21235.3 |
333 | 2025-04-02 10:07:11 | sharpest | 1 | 82945 | 1 | 5.000 | 16589.0 |
332 | 2025-03-29 12:21:24 | sharpest | 3 | 146162 | 215 | 44.376 | 3293.7 |
331 | 2025-03-28 14:57:07 | sharpest | 3 | 146162 | 215 | 32.456 | 4503.4 |
330 | 2025-03-25 10:53:26 | sharpest | 3 | 146162 | 215 | 20.376 | 7173.2 |
329 | 2025-03-09 20:03:06 | sharpest | 1 | 82945 | 1 | 5.703 | 14544.1 |
328 | 2025-03-02 02:22:12 | sharpest | 1 | 82945 | 1 | 13.250 | 6260.0 |
327 | 2025-02-25 18:07:08 | sharpest | 1 | 82945 | 1 | 6.533 | 12696.3 |
326 | 2025-02-24 13:21:07 | sharpest | 3 | 146162 | 215 | 20.843 | 7012.5 |
325 | 2025-02-22 07:38:13 | sharpest | 3 | 146162 | 215 | 32.566 | 4488.2 |
324 | 2025-02-15 01:07:44 | sharpest | 2 | 121059 | 26 | 18.906 | 6403.2 |
323 | 2025-02-14 10:41:42 | sharpest | 1 | 82945 | 1 | 4.080 | 20329.7 |
322 | 2025-01-30 16:23:31 | sharpest | 1 | 82945 | 1 | 3.873 | 21416.2 |
321 | 2025-01-29 19:44:33 | sharpest | 2 | 121059 | 26 | 25.376 | 4770.6 |
320 | 2025-01-28 15:23:33 | sharpest | 1 | 82945 | 1 | 6.326 | 13111.8 |
319 | 2025-01-27 21:39:16 | sharpest | 3 | 146162 | 215 | 27.953 | 5228.8 |
318 | 2025-01-26 15:49:54 | sharpest | 3 | 146162 | 215 | 26.110 | 5597.9 |
317 | 2025-01-26 15:49:25 | sharpest | 2 | 121059 | 26 | 13.063 | 9267.3 |
316 | 2025-01-26 15:48:44 | sharpest | 1 | 82945 | 1 | 3.530 | 23497.2 |
315 | 2025-01-24 17:27:40 | sharpest | 3 | 146162 | 215 | 15.610 | 9363.4 |
314 | 2025-01-23 08:21:05 | sharpest | 3 | 146162 | 215 | 33.673 | 4340.6 |
313 | 2025-01-22 13:26:01 | sharpest | 3 | 146162 | 215 | 39.050 | 3742.9 |
312 | 2025-01-06 10:55:31 | sharpest | 1 | 82945 | 1 | 3.860 | 21488.3 |
311 | 2024-12-29 17:42:15 | sharpest | 1 | 82945 | 1 | 7.080 | 11715.4 |
310 | 2024-12-29 00:07:37 | sharpest | 1 | 82945 | 1 | 6.203 | 13371.8 |
309 | 2024-12-27 20:39:50 | sharpest | 3 | 146162 | 215 | 7.800 | 18738.7 |
308 | 2024-12-27 20:39:36 | sharpest | 2 | 121059 | 26 | 3.780 | 32026.2 |
307 | 2024-12-26 20:06:11 | sharpest | 2 | 121059 | 26 | 3.623 | 33414.0 |
306 | 2024-12-21 10:16:19 | sharpest | 2 | 121059 | 26 | 11.843 | 10222.0 |
305 | 2024-12-21 10:07:07 | sharpest | 3 | 146162 | 215 | 7.503 | 19480.5 |
304 | 2024-12-16 19:40:05 | sharpest | 3 | 146162 | 215 | 37.640 | 3883.2 |
303 | 2024-12-15 18:41:38 | sharpest | 3 | 146162 | 215 | 42.330 | 3452.9 |
302 | 2024-12-15 18:01:21 | sharpest | 3 | 146162 | 215 | 24.410 | 5987.8 |
301 | 2024-11-30 04:12:25 | sharpest | 2 | 121059 | 26 | 28.176 | 4296.5 |
300 | 2024-11-29 15:01:40 | sharpest | 1 | 82945 | 1 | 3.780 | 21943.1 |
299 | 2024-11-11 04:59:00 | sharpest | 1 | 82945 | 1 | 5.563 | 14910.1 |
298 | 2024-11-08 07:21:56 | sharpest | 2 | 121059 | 26 | 15.250 | 7938.3 |
297 | 2024-11-08 02:27:22 | sharpest | 3 | 146162 | 215 | 29.046 | 5032.1 |
296 | 2024-11-07 20:03:35 | sharpest | 2 | 121059 | 26 | 3.750 | 32282.4 |
295 | 2024-11-06 03:21:13 | sharpest | 3 | 146162 | 215 | 7.406 | 19735.6 |
294 | 2024-11-06 03:21:12 | sharpest | 2 | 121059 | 26 | 3.766 | 32145.2 |
293 | 2024-11-04 05:06:29 | sharpest | 3 | 146162 | 215 | 31.453 | 4647.0 |
292 | 2024-11-03 23:27:19 | sharpest | 3 | 146162 | 215 | 7.673 | 19048.9 |
291 | 2024-11-03 23:27:18 | sharpest | 2 | 121059 | 26 | 3.593 | 33693.0 |
290 | 2024-11-03 23:27:15 | sharpest | 1 | 82945 | 1 | 1.436 | 57761.1 |
289 | 2024-10-29 04:15:25 | sharpest | 1 | 82945 | 1 | 3.546 | 23391.1 |
288 | 2024-10-28 09:58:09 | sharpest | 1 | 82945 | 1 | 7.203 | 11515.3 |