Fokko commented on code in PR #7148:
URL: https://github.com/apache/iceberg/pull/7148#discussion_r1145279476
##########
python/pyiceberg/table/__init__.py:
##########
@@ -415,3 +416,8 @@ def to_duckdb(self, table_name: str, connection:
Optional[DuckDBPyConnection] =
con.register(table_name, self.to_arrow())
return con
+
+ def to_ray(self) -> ray.data.dataset.Dataset:
+ import ray
+
+ return ray.data.from_arrow(self.to_arrow())
Review Comment:
Arrow also allows `to_batches` which will consume the source in batches, but
not sure if Ray can leverage this. In the end, we want to leverage the PyArrow
dataset, but this requires much deeper integration with Arrow. I'm digging into
this, but no design yet. Maybe we can send a substrait plan? Open for discussion
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