Reduce function if concatenated intermediate results doesn't fit in memory
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
I'm trying to decode a huge dataset of rougly 500k*10k size. What I'm doing is actually load the file into a datastore, replace the tall table variable names with a meaningful name, and decode the content of all columns with a meaningful sentences in my dictionary.
I have some wiered issues that didn't let my program go through using a tall table. So I'm now trying to use mapreduce.
I find an example here
function subsettingReducer(~, intermValList, outKVStore)
% get all intermediate results from the list
outVal = {};
while hasnext(intermValList)
outVal = [outVal; getnext(intermValList)];
end
% Note that this approach assumes the concatenated intermediate values (the
% subset of the whole data) fit in memory.
add(outKVStore, 'Null', outVal);
end
My question is, in this example, if the contanenated intermediate results doesn't fit in memory, is there a better workaround for this?
Thanks!
2 comentarios
Respuestas (0)
Ver también
Categorías
Más información sobre MapReduce en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!