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rflow's Issues

Prevent redundant hashing

If we store cache objects together with its hash we would not need to recompute the hash again when restoring objects from the cache.

Support for knitr and RMarkdown

Support for RMarkdown documents may be implemented in several ways.

One way is to create a rmarkdown class (subclass of file_node probably). This would take a RMarkdown document and inject code loading its dependencies at the beginning of the script.

Another way is to use current file_node and implement API to access values of dependencies from RMarkdown documents easily (without loading the whole Rflow etc...).

Wrap references to environments in a dedicated S3 classes

Currently, when disconnecting a DBI connector, all nodes representing targets from the associated DB has to be re-initiated. It would be convenient to have dedicated environment classes for wrapping DBI (and other) connectors. Reconnecting to a DB would happen through these objects.

Lazy cache loading

Cache for large R objects may be loaded when needed instead of when the object is initialized. This would speed up the initial setup at the cost of slower first builds. We would save the time of loading cache for nodes that are not touched during the session.

Remove .last_changed

Perhaps .last_changed private property may be removed. It is only used in R nodes where it is just an alias for timestamp of last hash anyway.

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