History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"macroscale"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
391 | 2025-07-20 08:08:17 | macroscale | 1 | 67641 | 3 | 6.843 | 9884.7 |
390 | 2025-07-19 19:36:28 | macroscale | 1 | 67641 | 3 | 1.170 | 57812.8 |
389 | 2025-07-17 06:41:06 | macroscale | 2 | 108824 | 4 | 7.903 | 13770.0 |
388 | 2025-07-16 21:12:31 | macroscale | 3 | 140603 | 11 | 30.000 | 4686.8 |
387 | 2025-07-16 02:24:31 | macroscale | 1 | 67641 | 3 | 1.250 | 54112.8 |
386 | 2025-07-15 10:16:46 | macroscale | 4 | 161450 | 69 | 69.876 | 2310.5 |
385 | 2025-07-13 05:06:58 | macroscale | 1 | 67641 | 3 | 1.140 | 59334.2 |
384 | 2025-07-12 01:57:01 | macroscale | 4 | 161450 | 69 | 12.013 | 13439.6 |
383 | 2025-07-07 02:15:46 | macroscale | 2 | 108824 | 4 | 8.423 | 12919.9 |
382 | 2025-07-04 04:56:22 | macroscale | 1 | 67641 | 3 | 3.046 | 22206.5 |
381 | 2025-07-03 09:45:17 | macroscale | 1 | 67641 | 3 | 1.093 | 61885.6 |
380 | 2025-07-03 04:43:26 | macroscale | 4 | 161450 | 69 | 14.936 | 10809.5 |
379 | 2025-06-30 14:29:24 | macroscale | 2 | 108824 | 4 | 11.576 | 9400.8 |
378 | 2025-06-30 10:53:58 | macroscale | 4 | 161450 | 69 | 48.236 | 3347.1 |
377 | 2025-06-29 02:08:45 | macroscale | 1 | 67641 | 3 | 1.233 | 54858.9 |
376 | 2025-06-10 01:01:50 | macroscale | 4 | 161450 | 69 | 65.850 | 2451.8 |
375 | 2025-06-08 18:31:19 | macroscale | 4 | 161450 | 69 | 30.830 | 5236.8 |
374 | 2025-06-06 01:03:41 | macroscale | 2 | 108824 | 4 | 11.406 | 9540.9 |
373 | 2025-05-30 12:35:13 | macroscale | 1 | 67641 | 3 | 5.310 | 12738.4 |
372 | 2025-05-28 06:16:49 | macroscale | 1 | 67641 | 3 | 1.220 | 55443.4 |
371 | 2025-05-26 10:46:14 | macroscale | 3 | 140603 | 11 | 25.830 | 5443.4 |
370 | 2025-05-26 00:53:52 | macroscale | 1 | 67641 | 3 | 5.016 | 13485.0 |
369 | 2025-05-16 16:58:22 | macroscale | 4 | 161450 | 69 | 77.973 | 2070.6 |
368 | 2025-05-11 15:28:49 | macroscale | 2 | 108824 | 4 | 3.860 | 28192.7 |
367 | 2025-05-09 14:32:59 | macroscale | 1 | 67641 | 3 | 1.186 | 57032.9 |
366 | 2025-05-08 16:00:57 | macroscale | 3 | 140603 | 11 | 26.563 | 5293.2 |
365 | 2025-05-06 08:53:47 | macroscale | 4 | 161450 | 69 | 52.113 | 3098.1 |
364 | 2025-05-05 09:40:11 | macroscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
363 | 2025-04-30 14:30:25 | macroscale | 4 | 161450 | 69 | 64.130 | 2517.5 |
362 | 2025-04-08 00:26:58 | macroscale | 4 | 161450 | 69 | 43.986 | 3670.5 |
361 | 2025-04-06 04:15:08 | macroscale | 4 | 161450 | 69 | 61.003 | 2646.6 |
360 | 2025-04-05 12:48:23 | macroscale | 4 | 161450 | 69 | 12.360 | 13062.3 |
359 | 2025-04-04 00:05:58 | macroscale | 4 | 161450 | 69 | 80.816 | 1997.7 |
358 | 2025-03-27 10:40:00 | macroscale | 1 | 67641 | 3 | 4.533 | 14921.9 |
357 | 2025-03-26 09:59:30 | macroscale | 4 | 161450 | 69 | 42.660 | 3784.6 |
356 | 2025-03-26 08:50:15 | macroscale | 3 | 140603 | 11 | 27.423 | 5127.2 |
355 | 2025-03-25 04:53:54 | macroscale | 1 | 67641 | 3 | 6.033 | 11211.8 |
354 | 2025-03-23 00:23:26 | macroscale | 1 | 67641 | 3 | 3.000 | 22547.0 |
353 | 2025-03-15 18:11:19 | macroscale | 4 | 161450 | 69 | 73.223 | 2204.9 |
352 | 2025-03-15 18:11:17 | macroscale | 3 | 140603 | 11 | 40.440 | 3476.8 |
351 | 2025-03-08 00:18:31 | macroscale | 1 | 67641 | 3 | 3.080 | 21961.4 |
350 | 2025-02-26 04:46:33 | macroscale | 2 | 108824 | 4 | 14.250 | 7636.8 |
349 | 2025-02-23 11:31:09 | macroscale | 1 | 67641 | 3 | 5.873 | 11517.3 |
348 | 2025-02-21 16:50:04 | macroscale | 3 | 140603 | 11 | 29.553 | 4757.7 |
347 | 2025-02-19 10:26:36 | macroscale | 2 | 108824 | 4 | 15.093 | 7210.2 |
346 | 2025-02-19 10:23:01 | macroscale | 1 | 67641 | 3 | 8.593 | 7871.6 |
345 | 2025-02-17 07:26:18 | macroscale | 3 | 140603 | 11 | 48.173 | 2918.7 |
344 | 2025-02-15 01:38:36 | macroscale | 2 | 108824 | 4 | 17.140 | 6349.1 |
343 | 2025-02-11 17:19:50 | macroscale | 4 | 161450 | 69 | 84.800 | 1903.9 |
342 | 2025-02-11 17:19:51 | macroscale | 3 | 140603 | 11 | 57.000 | 2466.7 |
341 | 2025-02-11 17:19:50 | macroscale | 2 | 108824 | 4 | 30.406 | 3579.0 |
340 | 2025-02-11 17:16:53 | macroscale | 1 | 67641 | 3 | 8.220 | 8228.8 |
339 | 2025-01-29 22:14:41 | macroscale | 3 | 140603 | 11 | 21.813 | 6445.8 |
338 | 2025-01-29 20:44:07 | macroscale | 4 | 161450 | 69 | 76.443 | 2112.0 |
337 | 2025-01-29 20:44:37 | macroscale | 3 | 140603 | 11 | 30.143 | 4664.5 |
336 | 2025-01-29 20:44:28 | macroscale | 2 | 108824 | 4 | 20.313 | 5357.4 |
335 | 2025-01-29 20:42:37 | macroscale | 1 | 67641 | 3 | 3.656 | 18501.4 |
334 | 2025-01-22 15:45:15 | macroscale | 3 | 140603 | 11 | 28.593 | 4917.4 |
333 | 2025-01-21 22:40:55 | macroscale | 2 | 108824 | 4 | 7.906 | 13764.7 |
332 | 2025-01-21 22:38:15 | macroscale | 1 | 67641 | 3 | 7.720 | 8761.8 |
331 | 2025-01-17 14:54:15 | macroscale | 2 | 108824 | 4 | 15.560 | 6993.8 |
330 | 2025-01-17 14:52:26 | macroscale | 3 | 140603 | 11 | 32.616 | 4310.9 |
329 | 2025-01-17 14:52:25 | macroscale | 3 | 140603 | 11 | 32.723 | 4296.8 |
328 | 2025-01-17 14:51:46 | macroscale | 1 | 67641 | 3 | 8.016 | 8438.2 |
327 | 2025-01-12 11:10:42 | macroscale | 3 | 140603 | 11 | 46.143 | 3047.1 |
326 | 2025-01-12 11:10:30 | macroscale | 3 | 140603 | 11 | 29.956 | 4693.7 |
325 | 2025-01-12 11:10:45 | macroscale | 2 | 108824 | 4 | 12.796 | 8504.5 |
324 | 2025-01-12 11:08:29 | macroscale | 1 | 67641 | 3 | 5.593 | 12093.9 |
323 | 2025-01-07 07:54:36 | macroscale | 3 | 140603 | 11 | 30.360 | 4631.2 |
322 | 2025-01-03 18:59:33 | macroscale | 3 | 140603 | 11 | 35.986 | 3907.2 |
321 | 2024-12-22 21:19:28 | macroscale | 3 | 140603 | 11 | 39.686 | 3542.9 |
320 | 2024-12-22 21:19:33 | macroscale | 2 | 108824 | 4 | 15.750 | 6909.5 |
319 | 2024-12-22 21:17:39 | macroscale | 1 | 67641 | 3 | 1.736 | 38963.7 |
318 | 2024-12-19 01:12:01 | macroscale | 3 | 140603 | 11 | 38.720 | 3631.3 |
317 | 2024-12-13 03:36:39 | macroscale | 1 | 67641 | 3 | 2.876 | 23519.1 |
316 | 2024-12-11 22:15:31 | macroscale | 2 | 108824 | 4 | 15.570 | 6989.3 |
315 | 2024-12-11 22:15:12 | macroscale | 1 | 67641 | 3 | 8.436 | 8018.1 |
314 | 2024-12-11 21:46:42 | macroscale | 3 | 140603 | 11 | 37.990 | 3701.1 |
313 | 2024-12-11 21:46:51 | macroscale | 2 | 108824 | 4 | 9.266 | 11744.4 |
312 | 2024-12-11 21:45:27 | macroscale | 1 | 67641 | 3 | 4.953 | 13656.6 |
311 | 2024-12-04 23:58:37 | macroscale | 3 | 140603 | 11 | 29.893 | 4703.5 |
310 | 2024-11-30 20:10:46 | macroscale | 3 | 140603 | 11 | 33.486 | 4198.9 |
309 | 2024-11-30 20:11:00 | macroscale | 2 | 108824 | 4 | 15.626 | 6964.3 |
308 | 2024-11-22 06:43:40 | macroscale | 4 | 161450 | 69 | 57.986 | 2784.3 |
307 | 2024-11-22 06:43:57 | macroscale | 3 | 140603 | 11 | 37.393 | 3760.1 |
306 | 2024-11-22 06:43:42 | macroscale | 2 | 108824 | 4 | 14.283 | 7619.1 |
305 | 2024-11-19 08:36:14 | macroscale | 1 | 67641 | 3 | 8.266 | 8183.0 |
304 | 2024-11-16 04:22:35 | macroscale | 3 | 140603 | 11 | 16.453 | 8545.7 |
303 | 2024-11-10 04:07:57 | macroscale | 1 | 67641 | 3 | 2.703 | 25024.4 |
302 | 2024-11-08 15:47:51 | macroscale | 1 | 67641 | 3 | 5.436 | 12443.2 |
301 | 2024-11-08 10:29:57 | macroscale | 3 | 140603 | 11 | 21.670 | 6488.4 |
300 | 2024-11-04 22:45:48 | macroscale | 3 | 140603 | 11 | 34.126 | 4120.1 |
299 | 2024-11-04 13:41:18 | macroscale | 3 | 140603 | 11 | 32.640 | 4307.7 |
298 | 2024-11-04 13:40:56 | macroscale | 4 | 161450 | 69 | 50.783 | 3179.2 |
297 | 2024-11-04 13:40:53 | macroscale | 4 | 161450 | 69 | 51.926 | 3109.2 |
296 | 2024-11-04 13:40:58 | macroscale | 2 | 108824 | 4 | 15.173 | 7172.2 |
295 | 2024-11-04 13:40:05 | macroscale | 1 | 67641 | 3 | 4.186 | 16158.9 |
294 | 2024-10-23 09:45:24 | macroscale | 3 | 140603 | 11 | 22.143 | 6349.8 |
293 | 2024-10-18 18:15:43 | macroscale | 3 | 140603 | 11 | 38.813 | 3622.6 |
292 | 2024-10-18 18:15:47 | macroscale | 2 | 108824 | 4 | 18.533 | 5871.9 |