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Q: generate hight frequency data by existing index data in postgresql I have an indexed table containing few thousands records I want to generate millions of rows of high frequency (msec) data Can I do it using Postgresql? A: To generate random data, simply use the rand function: select rand(); To generate all positive integers that are lower than 1,000,000, use this: select * from ( select (((coalesce(val, 0) + (10 ^ i)) / 10) as val from generate_series(1, 1000000) as i ) ); To generate millions of rows in any format you like, use this: select format('%Lf', (rand() * 100000000) + 20000000) To get this to run as fast as possible, you should keep the number of rows to insert as small as possible: insert into table ( val ) from generate_series(1, 1000000) as i; Saving results of an RK4 model How to save the results of an RK4 model in MATLAB? I've tried to use (in a loop) clear all; % Run model [y, y_dot, y_dot2, y_dot3, y_dot4, y_dot5] = mymod(my_run); and it returns ??? Subscript indices must either be real positive integers or logicals. y_dot2 = y_dot I have tried to change the code to % Write results to file

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