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feat(remote): support add_columns with schema in remote client (#4244)
Support adding column with pyarrow schema in remote client. Previously this raised an error. This achieves parity with local client. Server-side implementation is already complete. `RemoteTable::add_columns` matched only `SqlExpressions` and refused everything else, so `add_columns(pa.Field | List[pa.Field] | pa.Schema)` reached a remote table as `NotSupported`. Every layer above was already in place: the Python and Node surfaces accept a schema, both bindings build `NewColumnTransform::AllNulls` from it, and the Function-binding guard already reads that variant's column names. Only the arm that turns it into a request was missing. Send the schema as an Arrow IPC schema message under `application/vnd.apache.arrow.stream`, which is what the server takes. It is also the only encoding that round-trips a field whole: the JSON type representations either hide decimal precision in a length field or drop a timestamp's unit and timezone. With no JSON envelope the branch rides the query string, as it does for the other binary-bodied endpoints. The response handling is now shared by both arms rather than living inside the SQL one, so the new path gets the same schema-cache invalidation, write-version tracking, and old-server empty-body fallback. Also widen the sync `RemoteTable.add_columns` annotation to match `Table.add_columns`. It delegates to the async table, so a schema already worked at runtime; only the signature and its docs disagreed. Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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co-authored by
Claude Opus 5
parent
a8aa19f513
commit
bd94fc3572
@@ -982,6 +982,9 @@ class RemoteTable(Table):
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self,
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transforms: Dict[str, str | FunctionApplication]
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| FunctionApplication
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| pa.Field
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| List[pa.Field]
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| pa.Schema
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| None = None,
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*,
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computed: Dict[str, str] | None = None,
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