History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"macroscales"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
358 | 2025-09-18 14:26:42 | macroscales | 3 | 121633 | 9 | 5.453 | 22305.7 |
357 | 2025-09-17 05:24:55 | macroscales | 4 | 148819 | 50 | 26.970 | 5517.9 |
356 | 2025-08-29 14:57:51 | macroscales | 2 | 86808 | 4 | 2.266 | 38308.9 |
355 | 2025-08-29 14:17:43 | macroscales | 3 | 121633 | 9 | 5.203 | 23377.5 |
354 | 2025-08-27 17:44:59 | macroscales | 5 | 164607 | 399 | 15.063 | 10927.9 |
353 | 2025-08-27 17:44:27 | macroscales | 4 | 148819 | 50 | 9.533 | 15610.9 |
352 | 2025-08-25 03:09:08 | macroscales | 1 | 49908 | 3 | 3.846 | 12976.6 |
351 | 2025-08-19 14:53:22 | macroscales | 1 | 49908 | 3 | 2.170 | 22999.1 |
350 | 2025-08-16 18:47:55 | macroscales | 5 | 164607 | 399 | 86.256 | 1908.4 |
349 | 2025-08-15 20:09:36 | macroscales | 2 | 86808 | 4 | 2.423 | 35826.7 |
348 | 2025-08-15 12:40:53 | macroscales | 5 | 164607 | 399 | 69.690 | 2362.0 |
347 | 2025-08-15 06:46:24 | macroscales | 3 | 121633 | 9 | 23.803 | 5110.0 |
346 | 2025-08-14 08:44:56 | macroscales | 1 | 49908 | 3 | 0.843 | 59202.8 |
345 | 2025-08-10 11:17:32 | macroscales | 4 | 148819 | 50 | 23.250 | 6400.8 |
344 | 2025-08-10 03:31:11 | macroscales | 2 | 86808 | 4 | 5.593 | 15520.8 |
343 | 2025-08-08 21:29:01 | macroscales | 1 | 49908 | 3 | 0.843 | 59202.8 |
342 | 2025-07-25 09:36:28 | macroscales | 1 | 49908 | 3 | 2.093 | 23845.2 |
341 | 2025-07-25 09:20:52 | macroscales | 1 | 49908 | 3 | 2.106 | 23698.0 |
340 | 2025-07-17 13:47:36 | macroscales | 1 | 49908 | 3 | 2.373 | 21031.6 |
339 | 2025-06-29 20:52:28 | macroscales | 1 | 49908 | 3 | 4.093 | 12193.5 |
338 | 2025-06-17 06:36:39 | macroscales | 1 | 49908 | 3 | 0.876 | 56972.6 |
337 | 2025-06-04 10:31:11 | macroscales | 1 | 49908 | 3 | 5.800 | 8604.8 |
336 | 2025-06-04 10:29:06 | macroscales | 1 | 49908 | 3 | 2.266 | 22024.7 |
335 | 2025-06-03 20:25:39 | macroscales | 1 | 49908 | 3 | 4.703 | 10611.9 |
334 | 2025-05-31 20:05:56 | macroscales | 1 | 49908 | 3 | 3.453 | 14453.5 |
333 | 2025-05-23 17:57:38 | macroscales | 1 | 49908 | 3 | 4.050 | 12323.0 |
332 | 2025-05-15 00:14:35 | macroscales | 3 | 121633 | 9 | 5.503 | 22103.0 |
331 | 2025-05-12 15:27:45 | macroscales | 3 | 121633 | 9 | 30.186 | 4029.5 |
330 | 2025-05-11 02:30:35 | macroscales | 2 | 86808 | 4 | 18.580 | 4672.1 |
329 | 2025-04-28 09:17:17 | macroscales | 4 | 148819 | 50 | 30.953 | 4807.9 |
328 | 2025-04-25 23:22:18 | macroscales | 4 | 148819 | 50 | 30.830 | 4827.1 |
327 | 2025-04-21 02:51:45 | macroscales | 2 | 86808 | 4 | 13.033 | 6660.6 |
326 | 2025-04-20 12:27:22 | macroscales | 1 | 49908 | 3 | 0.953 | 52369.4 |
325 | 2025-04-12 21:26:25 | macroscales | 4 | 148819 | 50 | 10.016 | 14858.1 |
324 | 2025-04-06 11:27:57 | macroscales | 1 | 49908 | 3 | 5.750 | 8679.7 |
323 | 2025-04-04 06:58:30 | macroscales | 4 | 148819 | 50 | 50.846 | 2926.9 |
322 | 2025-03-26 10:40:16 | macroscales | 4 | 148819 | 50 | 45.676 | 3258.1 |
321 | 2025-03-26 08:43:47 | macroscales | 4 | 148819 | 50 | 36.533 | 4073.5 |
320 | 2025-03-25 21:12:44 | macroscales | 1 | 49908 | 3 | 3.923 | 12721.9 |
319 | 2025-03-25 08:00:04 | macroscales | 3 | 121633 | 9 | 27.253 | 4463.1 |
318 | 2025-03-25 05:17:38 | macroscales | 1 | 49908 | 3 | 2.123 | 23508.2 |
317 | 2025-03-25 03:47:49 | macroscales | 2 | 86808 | 4 | 12.516 | 6935.8 |
316 | 2025-03-25 00:37:02 | macroscales | 4 | 148819 | 50 | 47.380 | 3141.0 |
315 | 2025-03-24 13:17:10 | macroscales | 1 | 49908 | 3 | 0.830 | 60130.1 |
314 | 2025-03-15 18:11:27 | macroscales | 4 | 148819 | 50 | 37.733 | 3944.0 |
313 | 2025-03-07 05:03:35 | macroscales | 1 | 49908 | 3 | 1.920 | 25993.8 |
312 | 2025-02-26 04:46:26 | macroscales | 4 | 148819 | 50 | 61.520 | 2419.0 |
311 | 2025-02-26 04:46:16 | macroscales | 3 | 121633 | 9 | 19.173 | 6344.0 |
310 | 2025-02-26 04:46:13 | macroscales | 2 | 86808 | 4 | 5.940 | 14614.1 |
309 | 2025-02-26 04:45:54 | macroscales | 1 | 49908 | 3 | 1.343 | 37161.6 |
308 | 2025-02-19 10:25:27 | macroscales | 4 | 148819 | 50 | 38.706 | 3844.9 |
307 | 2025-02-19 10:25:25 | macroscales | 3 | 121633 | 9 | 20.063 | 6062.6 |
306 | 2025-02-19 10:25:25 | macroscales | 2 | 86808 | 4 | 13.156 | 6598.4 |
305 | 2025-02-19 10:21:41 | macroscales | 1 | 49908 | 3 | 3.173 | 15729.0 |
304 | 2025-02-15 18:24:37 | macroscales | 4 | 148819 | 50 | 48.240 | 3085.0 |
303 | 2025-02-15 15:15:55 | macroscales | 4 | 148819 | 50 | 43.876 | 3391.8 |
302 | 2025-02-15 01:39:03 | macroscales | 4 | 148819 | 50 | 61.583 | 2416.6 |
301 | 2025-02-13 15:41:17 | macroscales | 4 | 148819 | 50 | 55.290 | 2691.6 |
300 | 2025-02-11 17:18:23 | macroscales | 1 | 49908 | 3 | 2.966 | 16826.7 |
299 | 2025-01-29 20:44:30 | macroscales | 2 | 86808 | 4 | 8.423 | 10306.1 |
298 | 2025-01-29 20:42:40 | macroscales | 1 | 49908 | 3 | 5.076 | 9832.2 |
297 | 2025-01-21 22:41:04 | macroscales | 3 | 121633 | 9 | 25.580 | 4755.0 |
296 | 2025-01-21 22:41:04 | macroscales | 2 | 86808 | 4 | 12.000 | 7234.0 |
295 | 2025-01-21 22:38:07 | macroscales | 1 | 49908 | 3 | 3.873 | 12886.1 |
294 | 2025-01-17 14:54:31 | macroscales | 3 | 121633 | 9 | 26.733 | 4549.9 |
293 | 2025-01-17 14:54:25 | macroscales | 2 | 86808 | 4 | 10.750 | 8075.2 |
292 | 2025-01-17 14:53:23 | macroscales | 4 | 148819 | 50 | 42.313 | 3517.1 |
291 | 2025-01-17 14:51:45 | macroscales | 1 | 49908 | 3 | 3.656 | 13651.0 |
290 | 2025-01-14 13:49:12 | macroscales | 3 | 121633 | 9 | 23.486 | 5179.0 |
289 | 2025-01-12 11:11:36 | macroscales | 3 | 121633 | 9 | 29.830 | 4077.5 |
288 | 2025-01-12 11:11:38 | macroscales | 2 | 86808 | 4 | 17.346 | 5004.5 |
287 | 2025-01-12 11:08:09 | macroscales | 1 | 49908 | 3 | 3.923 | 12721.9 |
286 | 2025-01-10 14:44:23 | macroscales | 4 | 148819 | 50 | 62.346 | 2387.0 |
285 | 2025-01-07 07:51:52 | macroscales | 4 | 148819 | 50 | 43.973 | 3384.3 |
284 | 2025-01-07 06:44:44 | macroscales | 4 | 148819 | 50 | 38.703 | 3845.2 |
283 | 2025-01-07 02:42:14 | macroscales | 4 | 148819 | 50 | 53.050 | 2805.3 |
282 | 2024-12-22 21:18:31 | macroscales | 1 | 49908 | 3 | 3.360 | 14853.6 |
281 | 2024-12-11 22:15:40 | macroscales | 4 | 148819 | 50 | 71.723 | 2074.9 |
280 | 2024-12-11 22:15:46 | macroscales | 2 | 86808 | 4 | 23.283 | 3728.4 |
279 | 2024-12-11 22:14:49 | macroscales | 1 | 49908 | 3 | 3.233 | 15437.1 |
278 | 2024-12-11 21:48:38 | macroscales | 3 | 121633 | 9 | 23.720 | 5127.9 |
277 | 2024-12-11 21:48:49 | macroscales | 2 | 86808 | 4 | 12.063 | 7196.2 |
276 | 2024-12-11 21:46:38 | macroscales | 4 | 148819 | 50 | 47.333 | 3144.1 |
275 | 2024-12-11 21:45:12 | macroscales | 1 | 49908 | 3 | 4.140 | 12055.1 |
274 | 2024-12-03 11:07:38 | macroscales | 4 | 148819 | 50 | 56.146 | 2650.6 |
273 | 2024-11-30 20:11:04 | macroscales | 2 | 86808 | 4 | 9.123 | 9515.3 |
272 | 2024-11-30 20:10:10 | macroscales | 4 | 148819 | 50 | 38.626 | 3852.8 |
271 | 2024-11-30 20:10:11 | macroscales | 3 | 121633 | 9 | 26.343 | 4617.3 |
270 | 2024-11-30 20:10:05 | macroscales | 1 | 49908 | 3 | 1.830 | 27272.1 |
269 | 2024-11-29 08:25:52 | macroscales | 4 | 148819 | 50 | 38.613 | 3854.1 |
268 | 2024-11-22 06:45:28 | macroscales | 2 | 86808 | 4 | 6.266 | 13853.8 |
267 | 2024-11-22 06:43:24 | macroscales | 4 | 148819 | 50 | 43.690 | 3406.2 |
266 | 2024-11-22 06:38:31 | macroscales | 1 | 49908 | 3 | 3.233 | 15437.1 |
265 | 2024-11-13 13:03:19 | macroscales | 3 | 121633 | 9 | 27.436 | 4433.3 |
264 | 2024-11-09 17:21:51 | macroscales | 1 | 49908 | 3 | 5.873 | 8497.9 |
263 | 2024-11-04 13:41:45 | macroscales | 3 | 121633 | 9 | 26.143 | 4652.6 |
262 | 2024-11-04 13:40:42 | macroscales | 4 | 148819 | 50 | 45.363 | 3280.6 |
261 | 2024-11-04 13:40:48 | macroscales | 2 | 86808 | 4 | 9.263 | 9371.5 |
260 | 2024-11-04 08:21:06 | macroscales | 4 | 148819 | 50 | 45.656 | 3259.6 |
259 | 2024-11-01 08:30:09 | macroscales | 4 | 148819 | 50 | 51.296 | 2901.2 |