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I have a use-case where I don't want to save the resulting HDF5 data to local disk. Rather, I want to handle the produced data with a stream pattern.
In my specific case, this is so I can save the HDF5 data directly to an AWS S3 bucket in a resource-efficient way, but I imaging there are other situations where people may want to have control of the file handle. It would be good to have an extended API which supports this.
The text was updated successfully, but these errors were encountered:
aijoe-mcarthyfinch
changed the title
Need an API to be able to control the PyTables file, in case you don't want to save to disk
Need an API to be able to control the PyTables file object, in case you don't want to save to disk
Feb 5, 2018
I have a use-case where I don't want to save the resulting HDF5 data to local disk. Rather, I want to handle the produced data with a stream pattern.
In my specific case, this is so I can save the HDF5 data directly to an AWS S3 bucket in a resource-efficient way, but I imaging there are other situations where people may want to have control of the file handle. It would be good to have an extended API which supports this.
The text was updated successfully, but these errors were encountered: