Skip to content

Need an API to be able to control the PyTables file object, in case you don't want to save to disk #30

Open
@aijoe-mcarthyfinch

Description

@aijoe-mcarthyfinch

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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions