bnlearn and very large datasets (> 1 million observations)

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Hi

Anyone have experience with very large datasets and the Bayesian Network
package, bnlearn?  In my experience R doesn't react well to very large
datasets.
Maybe, but a million is not 'very large': R handles billions of 
observations without problems on machines with commensurate resources.

Package bnlearn is not 'R'.  Your questions are not about R itself and 
should be addressed to the package maintainer.
Is there a way to divide up the dataset into pieces and incrementally learn
the network with the pieces?  This would also be helpful incase R crashes,
because I could save the network after learning each piece.

Thank you.

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