When creating many tables and then closing them JMP seems to keep the tables or some remnants in memory. The memory is sometimes released after a while. I ran into this when simulating a measurement situation with noise sources. JMP din't crash but after RAM ran out windows started swapping to HDD.
Below is the simplest example where I was able to repeat the problem.
Question: is this expected behaviour and/or did I do something funny?
Note to anyone encountering the same: uncommenting the Wait(0); removes the problem, but seems to have a small (~10 %) performance penalty at least in the case where this was a problem.
For (i = 1, i <= 100000, i++, dt = New Table("Name of the table", New Column("Name of the column", Set Values(1::20000)), ); // Do stuff Close(dt, "No Save"); //Wait(0); );
JMP 14.0.0 64-bit, Win 10
Try to include an "invisible" or a "private" flag when you open so many data tables. Making Data Tables "invisible" will help you see some improvement and making it "private" will help you see significant improvements.
Why create a new table in each iteration? You could create a data table before iterating and the update the contents in each iteration.
Mostly because I used parts from scripts I had already written before and didn't want to change them. In many cases I prefer slow scripts over working on the script to make it faster.
In some cases the data tables get their data from matrices:
dt = As Table(matrixWithData, private);
Is there a way to easily put the data into an existing data table? That would make the changes relatively simple.
Regarding the last question, you could use data table subscripting:
NamesDefaultToHere(1); // Make a starting table to update later mat = J(10, 5, RandomNormal()); dt = AsTable(mat); dt << setName("My Table"); // Update the last four columns of dt (using data table subscripting) with new values Wait(3); mat = J(10, 4, RandomNormal()); dt[1::10, 2::5] = mat;
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