History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sharpening"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
355 | 2025-08-19 14:16:22 | sharpening | 1 | 67641 | 1 | 3.110 | 21749.5 |
354 | 2025-08-19 04:19:24 | sharpening | 1 | 67641 | 1 | 8.013 | 8441.4 |
353 | 2025-08-14 22:13:00 | sharpening | 1 | 67641 | 1 | 1.813 | 37308.9 |
352 | 2025-08-12 15:25:27 | sharpening | 1 | 67641 | 1 | 2.420 | 27950.8 |
351 | 2025-08-11 05:00:43 | sharpening | 1 | 67641 | 1 | 7.920 | 8540.5 |
350 | 2025-08-09 10:56:10 | sharpening | 1 | 67641 | 1 | 6.203 | 10904.6 |
349 | 2025-08-05 03:12:10 | sharpening | 1 | 67641 | 1 | 2.953 | 22905.9 |
348 | 2025-08-04 09:59:14 | sharpening | 1 | 67641 | 1 | 5.123 | 13203.4 |
347 | 2025-08-01 15:30:07 | sharpening | 1 | 67641 | 1 | 2.513 | 26916.4 |
346 | 2025-07-23 00:08:11 | sharpening | 1 | 67641 | 1 | 5.026 | 13458.2 |
345 | 2025-07-17 09:37:40 | sharpening | 1 | 67641 | 1 | 3.486 | 19403.6 |
344 | 2025-07-14 08:56:08 | sharpening | 3 | 140603 | 57 | 31.550 | 4456.5 |
343 | 2025-07-11 08:15:35 | sharpening | 3 | 140603 | 57 | 36.250 | 3878.7 |
342 | 2025-07-08 05:08:27 | sharpening | 3 | 140603 | 57 | 39.973 | 3517.4 |
341 | 2025-07-07 00:23:04 | sharpening | 3 | 140603 | 57 | 29.016 | 4845.7 |
340 | 2025-07-04 17:08:02 | sharpening | 3 | 140603 | 57 | 18.923 | 7430.3 |
339 | 2025-06-30 15:09:46 | sharpening | 1 | 67641 | 1 | 5.500 | 12298.4 |
338 | 2025-06-29 23:36:41 | sharpening | 4 | 161450 | 403 | 83.283 | 1938.6 |
337 | 2025-06-28 23:38:16 | sharpening | 4 | 161450 | 403 | 74.600 | 2164.2 |
336 | 2025-06-28 09:32:53 | sharpening | 4 | 161450 | 403 | 48.633 | 3319.8 |
335 | 2025-06-26 05:29:21 | sharpening | 1 | 67641 | 1 | 8.660 | 7810.7 |
334 | 2025-06-25 21:01:36 | sharpening | 4 | 161450 | 403 | 11.956 | 13503.7 |
333 | 2025-06-23 08:01:11 | sharpening | 4 | 161450 | 403 | 33.800 | 4776.6 |
332 | 2025-06-22 14:19:10 | sharpening | 1 | 67641 | 1 | 6.313 | 10714.6 |
331 | 2025-06-21 21:52:31 | sharpening | 4 | 161450 | 403 | 59.366 | 2719.6 |
330 | 2025-06-20 14:43:52 | sharpening | 4 | 161450 | 403 | 70.300 | 2296.6 |
329 | 2025-06-19 13:55:41 | sharpening | 4 | 161450 | 403 | 9.970 | 16193.6 |
328 | 2025-06-12 06:59:24 | sharpening | 1 | 67641 | 1 | 4.733 | 14291.4 |
327 | 2025-05-31 23:57:26 | sharpening | 1 | 67641 | 1 | 5.830 | 11602.2 |
326 | 2025-05-30 09:56:10 | sharpening | 1 | 67641 | 1 | 4.046 | 16718.0 |
325 | 2025-05-25 23:41:35 | sharpening | 4 | 161450 | 403 | 52.173 | 3094.5 |
324 | 2025-05-25 21:04:33 | sharpening | 4 | 161450 | 403 | 12.813 | 12600.5 |
323 | 2025-05-24 23:09:27 | sharpening | 4 | 161450 | 403 | 42.193 | 3826.5 |
322 | 2025-05-23 08:11:50 | sharpening | 1 | 67641 | 1 | 4.876 | 13872.2 |
321 | 2025-05-21 12:18:55 | sharpening | 4 | 161450 | 403 | 20.406 | 7911.9 |
320 | 2025-05-17 08:00:23 | sharpening | 1 | 67641 | 1 | 4.406 | 15352.0 |
319 | 2025-05-14 13:58:36 | sharpening | 1 | 67641 | 1 | 3.296 | 20522.1 |
318 | 2025-05-06 14:10:48 | sharpening | 4 | 161450 | 403 | 68.256 | 2365.4 |
317 | 2025-05-02 06:33:44 | sharpening | 1 | 67641 | 1 | 6.500 | 10406.3 |
316 | 2025-04-28 08:39:14 | sharpening | 1 | 67641 | 1 | 3.923 | 17242.2 |
315 | 2025-04-27 09:19:32 | sharpening | 4 | 161450 | 403 | 37.143 | 4346.7 |
314 | 2025-04-24 04:36:45 | sharpening | 4 | 161450 | 403 | 36.736 | 4394.9 |
313 | 2025-04-23 00:24:40 | sharpening | 2 | 108824 | 9 | 17.060 | 6378.9 |
312 | 2025-04-22 20:17:50 | sharpening | 4 | 161450 | 403 | 55.316 | 2918.7 |
311 | 2025-04-22 07:52:14 | sharpening | 4 | 161450 | 403 | 25.970 | 6216.8 |
310 | 2025-04-22 07:14:18 | sharpening | 3 | 140603 | 57 | 11.656 | 12062.7 |
309 | 2025-04-21 22:37:59 | sharpening | 2 | 108824 | 9 | 3.186 | 34156.9 |
308 | 2025-04-21 17:58:57 | sharpening | 3 | 140603 | 57 | 35.580 | 3951.7 |
307 | 2025-04-16 13:42:45 | sharpening | 1 | 67641 | 1 | 5.060 | 13367.8 |
306 | 2025-04-14 13:16:15 | sharpening | 1 | 67641 | 1 | 7.156 | 9452.3 |
305 | 2025-04-11 03:22:39 | sharpening | 3 | 140603 | 57 | 46.190 | 3044.0 |
304 | 2025-04-01 23:12:37 | sharpening | 3 | 140603 | 57 | 42.333 | 3321.4 |
303 | 2025-03-30 23:13:46 | sharpening | 3 | 140603 | 57 | 32.860 | 4278.8 |
302 | 2025-03-29 08:27:01 | sharpening | 1 | 67641 | 1 | 4.486 | 15078.2 |
301 | 2025-03-28 04:36:54 | sharpening | 3 | 140603 | 57 | 8.376 | 16786.4 |
300 | 2025-03-27 09:45:07 | sharpening | 3 | 140603 | 57 | 33.206 | 4234.3 |
299 | 2025-03-27 06:10:30 | sharpening | 2 | 108824 | 9 | 22.156 | 4911.7 |
298 | 2025-03-26 14:52:44 | sharpening | 4 | 161450 | 403 | 11.110 | 14532.0 |
297 | 2025-03-26 06:17:27 | sharpening | 1 | 67641 | 1 | 2.863 | 23625.9 |
296 | 2025-03-23 09:45:18 | sharpening | 1 | 67641 | 1 | 5.076 | 13325.7 |
295 | 2025-03-15 11:28:19 | sharpening | 1 | 67641 | 1 | 5.563 | 12159.1 |
294 | 2025-03-07 20:20:31 | sharpening | 4 | 161450 | 403 | 63.906 | 2526.4 |
293 | 2025-03-06 19:11:56 | sharpening | 3 | 140603 | 57 | 16.486 | 8528.6 |
292 | 2025-03-06 11:18:26 | sharpening | 3 | 140603 | 57 | 50.360 | 2792.0 |
291 | 2025-03-06 01:05:41 | sharpening | 3 | 140603 | 57 | 61.223 | 2296.6 |
290 | 2025-03-06 01:05:45 | sharpening | 4 | 161450 | 403 | 56.286 | 2868.4 |
289 | 2025-03-06 01:05:39 | sharpening | 2 | 108824 | 9 | 19.283 | 5643.5 |
288 | 2025-03-06 01:00:51 | sharpening | 1 | 67641 | 1 | 5.843 | 11576.4 |
287 | 2025-02-08 05:21:54 | sharpening | 2 | 108824 | 9 | 23.563 | 4618.4 |
286 | 2025-02-07 20:56:47 | sharpening | 1 | 67641 | 1 | 5.080 | 13315.2 |
285 | 2025-02-06 21:23:05 | sharpening | 1 | 67641 | 1 | 2.486 | 27208.8 |
284 | 2025-02-03 21:43:34 | sharpening | 2 | 108824 | 9 | 14.080 | 7729.0 |
283 | 2025-02-03 21:43:25 | sharpening | 1 | 67641 | 1 | 2.843 | 23792.1 |
282 | 2025-01-30 02:55:54 | sharpening | 2 | 108824 | 9 | 11.643 | 9346.7 |
281 | 2025-01-30 02:55:40 | sharpening | 1 | 67641 | 1 | 4.000 | 16910.3 |
280 | 2025-01-26 08:43:04 | sharpening | 3 | 140603 | 57 | 28.736 | 4892.9 |
279 | 2025-01-25 08:41:47 | sharpening | 4 | 161450 | 403 | 60.506 | 2668.3 |
278 | 2025-01-24 09:45:43 | sharpening | 3 | 140603 | 57 | 23.313 | 6031.1 |
277 | 2025-01-24 08:27:04 | sharpening | 4 | 161450 | 403 | 73.430 | 2198.7 |
276 | 2025-01-24 08:27:33 | sharpening | 3 | 140603 | 57 | 35.236 | 3990.3 |
275 | 2025-01-24 08:27:20 | sharpening | 2 | 108824 | 9 | 18.036 | 6033.7 |
274 | 2025-01-24 08:20:51 | sharpening | 1 | 67641 | 1 | 7.970 | 8487.0 |
273 | 2025-01-13 07:33:23 | sharpening | 3 | 140603 | 57 | 19.096 | 7363.0 |
272 | 2024-12-22 15:53:57 | sharpening | 3 | 140603 | 57 | 19.343 | 7268.9 |
271 | 2024-12-22 13:54:12 | sharpening | 3 | 140603 | 57 | 37.156 | 3784.1 |
270 | 2024-12-21 04:44:35 | sharpening | 3 | 140603 | 57 | 26.436 | 5318.6 |
269 | 2024-12-21 04:44:27 | sharpening | 3 | 140603 | 57 | 32.140 | 4374.7 |
268 | 2024-12-21 04:44:33 | sharpening | 2 | 108824 | 9 | 15.283 | 7120.6 |
267 | 2024-12-21 04:43:39 | sharpening | 1 | 67641 | 1 | 7.906 | 8555.7 |
266 | 2024-12-13 03:52:54 | sharpening | 1 | 67641 | 1 | 7.673 | 8815.5 |
265 | 2024-11-15 03:26:31 | sharpening | 1 | 67641 | 1 | 4.376 | 15457.3 |
264 | 2024-11-09 02:15:48 | sharpening | 1 | 67641 | 1 | 1.110 | 60937.8 |
263 | 2024-11-08 21:41:50 | sharpening | 1 | 67641 | 1 | 1.110 | 60937.8 |
262 | 2024-11-05 08:17:22 | sharpening | 1 | 67641 | 1 | 8.016 | 8438.2 |
261 | 2024-10-08 07:48:01 | sharpening | 1 | 67641 | 1 | 5.670 | 11929.6 |
260 | 2024-09-28 06:02:37 | sharpening | 1 | 67641 | 1 | 11.000 | 6149.2 |
259 | 2024-09-27 17:55:13 | sharpening | 1 | 67641 | 1 | 12.986 | 5208.8 |
258 | 2024-09-03 20:17:00 | sharpening | 1 | 67641 | 1 | 10.013 | 6755.3 |
257 | 2024-09-03 07:28:54 | sharpening | 1 | 67641 | 1 | 4.266 | 15855.8 |
256 | 2024-08-21 02:19:47 | sharpening | 1 | 67641 | 1 | 3.670 | 18430.8 |