peridotml opened a new pull request, #23030:
URL: https://github.com/apache/beam/pull/23030
This is related to #22813. @TheNeuralBit I put up a draft. Let me know if
this still would be worth adding to the sdk or if there is way to do this
already.
This is an example of the pipeline:
```python
with TestPipeline() as p:
_ = p \
| RunInference(...) \
| BatchToArrowTable() \ # turns a dict of vectors into a pa.Table,
# e.g. {'id': [1, 2, 3], 'score': [0.9, 0.1,
0.8]} -> pa.Table
| WriteToParquetBatched(
path, self.SCHEMA, num_shards=1, shard_name_template='')
```
### Motivation
* Don't need to un-batch into a series of python dicts, which hurts
performance.
* Models naturally return batches, so it works
* I didn't add it in yet, but you can infer the schema from the first batch
(possibly will break something, but worked with dataflow)
### Open Questions
1. Controlling `row_group_size` would need to be handled upstream
2. A lot of duplicate code. Possibly some smart ways to refactor a bit (let
me know)
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