timsaucer commented on code in PR #1435:
URL:
https://github.com/apache/datafusion-python/pull/1435#discussion_r3001326632
##########
python/datafusion/functions.py:
##########
@@ -490,6 +502,13 @@ def alias(expr: Expr, name: str, metadata: dict[str, str]
| None = None) -> Expr
... dfn.functions.alias(dfn.col("a"), "b")
... ).collect_column("b")[0].as_py()
1
+
+ >>> df.select(
+ ... dfn.functions.alias(
+ ... dfn.col("a"), "b", metadata={"info": "test"}
+ ... )
+ ... ).collect_column("b")[0].as_py()
+ 1
Review Comment:
```
df.select(
dfn.functions.alias(
dfn.col("a"), "b", metadata={"info": "test"}
)
).schema()
```
This does show the metadata. Converting to pyarrow scalar appears to drop
it. Converting to a pyarrow table does keep the metadata on the table, but then
selecting the appropriate array still you can't see the metadata. :|
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