feat: Add support for converting dy.List, dy.Array to postgres array

dataframely/columns/array.py

@@ -1,4 +1,4 @@
-# Copyright (c) QuantCo 2025-2025
+# Copyright (c) QuantCo 2025-2026
 # SPDX-License-Identifier: BSD-3-Clause
 
 from __future__ import annotations
@@ -97,8 +97,17 @@ def validation_rules(self, expr: pl.Expr) -> dict[str, pl.Expr]:
         }
 
     def sqlalchemy_dtype(self, dialect: sa.Dialect) -> sa_TypeEngine:
-        # NOTE: We might want to add support for PostgreSQL's ARRAY type or use JSON in the future.
-        raise NotImplementedError("SQL column cannot have 'Array' type.")
+        match dialect.name:
+            case "postgresql":
+                # Note that the length of the array in each dimension is not supported in SQLAlchemy
+                # That is because PostgreSQL does not enforce the length anyway
+                return sa.ARRAY(
+                    self.inner.sqlalchemy_dtype(dialect), dimensions=len(self.shape)
+                )
+            case _:
+                raise NotImplementedError(
+                    f"SQL column cannot have 'Array' type for dialect '{dialect}'."
+                )
 
     def _pyarrow_field_of_shape(self, shape: Sequence[int]) -> pa.Field:
         if shape:

dataframely/columns/binary.py

@@ -1,4 +1,4 @@
-# Copyright (c) QuantCo 2025-2025
+# Copyright (c) QuantCo 2025-2026
 # SPDX-License-Identifier: BSD-3-Clause
 
 from __future__ import annotations
@@ -21,9 +21,11 @@ def dtype(self) -> pl.DataType:
         return pl.Binary()
 
     def sqlalchemy_dtype(self, dialect: sa.Dialect) -> sa_TypeEngine:
-        if dialect.name == "mssql":
-            return sa.VARBINARY()
-        return sa.LargeBinary()
+        match dialect.name:
+            case "mssql":
+                return sa.VARBINARY()
+            case _:
+                return sa.LargeBinary()
 
     @property
     def pyarrow_dtype(self) -> pa.DataType:

dataframely/columns/list.py

@@ -1,4 +1,4 @@
-# Copyright (c) QuantCo 2025-2025
+# Copyright (c) QuantCo 2025-2026
 # SPDX-License-Identifier: BSD-3-Clause
 
 from __future__ import annotations
@@ -120,8 +120,13 @@ def validation_rules(self, expr: pl.Expr) -> dict[str, pl.Expr]:
         }
 
     def sqlalchemy_dtype(self, dialect: sa.Dialect) -> sa_TypeEngine:
-        # NOTE: We might want to add support for PostgreSQL's ARRAY type or use JSON in the future.
-        raise NotImplementedError("SQL column cannot have 'List' type.")
+        match dialect.name:
+            case "postgresql":
+                return sa.ARRAY(self.inner.sqlalchemy_dtype(dialect))
+            case _:
+                raise NotImplementedError(
+                    f"SQL column cannot have 'List' type for dialect '{dialect}'."
+                )
 
     @property
     def pyarrow_dtype(self) -> pa.DataType:

tests/columns/test_sqlalchemy_columns.py

@@ -95,6 +95,10 @@ def test_mssql_datatype(column: Column, datatype: str) -> None:
         (dy.String(regex="^[abc]{1,3}d$"), "VARCHAR(4)"),
         (dy.Enum(["foo", "bar"]), "CHAR(3)"),
         (dy.Enum(["a", "abc"]), "VARCHAR(3)"),
+        (dy.List(dy.Integer()), "INTEGER[]"),
+        (dy.List(dy.String(max_length=5)), "VARCHAR(5)[]"),
+        (dy.Array(dy.Integer(), shape=5), "INTEGER[]"),
+        (dy.Array(dy.String(max_length=5), shape=(2, 1)), "VARCHAR(5)[][]"),
         (dy.Struct({"a": dy.String(nullable=True)}), "JSONB"),
     ],
 )
@@ -137,15 +141,15 @@ def test_sql_multiple_columns(dialect: Dialect) -> None:
     assert len(schema.to_sqlalchemy_columns(dialect)) == 2
 
 
-@pytest.mark.parametrize("dialect", [MSDialect_pyodbc(), PGDialect_psycopg2()])
+@pytest.mark.parametrize("dialect", [MSDialect_pyodbc()])
 def test_raise_for_list_column(dialect: Dialect) -> None:
     with pytest.raises(
         NotImplementedError, match="SQL column cannot have 'List' type."
     ):
         dy.List(dy.String()).sqlalchemy_dtype(dialect)
 
 
-@pytest.mark.parametrize("dialect", [MSDialect_pyodbc(), PGDialect_psycopg2()])
+@pytest.mark.parametrize("dialect", [MSDialect_pyodbc()])
 def test_raise_for_array_column(dialect: Dialect) -> None:
     with pytest.raises(
         NotImplementedError, match="SQL column cannot have 'Array' type."