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Handling large values


There is a discussion happening on a PR 7127[1] where Robert is working on providing the first implementation for supporting large iterables resulting from a GroupByKey. This is inline with the original proposal for remote references over the Fn Data & State API[2].

I had thought about this issue more since the original write up was done over a year ago and believe that we can simplify the implementation by migrating the length prefix coder to be able to embed a remote reference token at the end of the stream if the data is too large. This allows any coder which supports lazy decoding to return a view over a seekable stream instead of decoding all the data (regardless whether all the data was sent or there is a state token representing the remote reference).

Allowing any arbitrary coder to support lazy decoding helps solve the large iterable use case but also opens up the ability for types which don't need to be fully decoded to provide lazy views. Imagine our Beam rows using a format where only rows that are read are decoded while everything else is left in its encoded form.

I also originally thought that this could also help solve an issue where large values[3] need to be chunked across multiple protobuf messages over the Data API which complicates the reading side decoding implementation since each SDK needs to provide an implementation that blocks and waits for the next chunk to come across for the same logical stream[4]. But there are issues with this because the runner may make a bad coder choice such as iterable<length_prefix<blob>> (instead of length_prefix<iterable<blob>>) which can lead to > 2gb of state keys if there are many many values.

Robert, would implementing the length prefix coder being backed by state + adding a lazy decoding method to the iterable coder be significantly more complicated then what you are proposing right now?

What do others think about coders supporting a "lazy" decode mode in coders?