Add V3 read support

pyiceberg/partitioning.py

@@ -37,6 +37,7 @@
     Field,
     PlainSerializer,
     WithJsonSchema,
+    model_validator,
 )
 from typing_extensions import Annotated
 
@@ -111,6 +112,19 @@ def __init__(
 
         super().__init__(**data)
 
+    @model_validator(mode="before")
+    @classmethod
+    def map_source_ids_onto_source_id(cls, data: Any) -> Any:
+        if isinstance(data, dict):
+            if "source-id" not in data and (source_ids := data["source-ids"]):
+                if isinstance(source_ids, list):
+                    if len(source_ids) == 0:
+                        raise ValueError("Empty source-ids is not allowed")
+                    if len(source_ids) > 1:
+                        raise ValueError("Multi argument transforms are not yet supported")
+                    data["source-id"] = source_ids[0]
+        return data
+
     def __str__(self) -> str:
         """Return the string representation of the PartitionField class."""
         return f"{self.field_id}: {self.name}: {self.transform}({self.source_id})"

pyiceberg/table/metadata.py

@@ -459,9 +459,8 @@ def to_v2(self) -> TableMetadataV2:
         return TableMetadataV2.model_validate(metadata)
 
     format_version: Literal[1] = Field(alias="format-version", default=1)
-    """An integer version number for the format. Currently, this can be 1 or 2
-    based on the spec. Implementations must throw an exception if a table’s
-    version is higher than the supported version."""
+    """An integer version number for the format. Implementations must throw
+    an exception if a table’s version is higher than the supported version."""
 
     schema_: Schema = Field(alias="schema")
     """The table’s current schema. (Deprecated: use schemas and
@@ -507,16 +506,75 @@ def construct_refs(cls, table_metadata: TableMetadata) -> TableMetadata:
         return construct_refs(table_metadata)
 
     format_version: Literal[2] = Field(alias="format-version", default=2)
-    """An integer version number for the format. Currently, this can be 1 or 2
-    based on the spec. Implementations must throw an exception if a table’s
-    version is higher than the supported version."""
+    """An integer version number for the format. Implementations must throw
+    an exception if a table’s version is higher than the supported version."""
 
     last_sequence_number: int = Field(alias="last-sequence-number", default=INITIAL_SEQUENCE_NUMBER)
     """The table’s highest assigned sequence number, a monotonically
     increasing long that tracks the order of snapshots in a table."""
 
 
-TableMetadata = Annotated[Union[TableMetadataV1, TableMetadataV2], Field(discriminator="format_version")]
+class TableMetadataV3(TableMetadataCommonFields, IcebergBaseModel):
+    """Represents version 3 of the Table Metadata.
+
+    Version 3 of the Iceberg spec extends data types and existing metadata structures to add new capabilities:
+
+        - New data types: nanosecond timestamp(tz), unknown
+        - Default value support for columns
+        - Multi-argument transforms for partitioning and sorting
+        - Row Lineage tracking
+        - Binary deletion vectors
+
+    For more information:
+    https://iceberg.apache.org/spec/?column-projection#version-3-extended-types-and-capabilities
+    """
+
+    @model_validator(mode="before")
+    def cleanup_snapshot_id(cls, data: Dict[str, Any]) -> Dict[str, Any]:
+        return cleanup_snapshot_id(data)
+
+    @model_validator(mode="after")
+    def check_schemas(cls, table_metadata: TableMetadata) -> TableMetadata:
+        return check_schemas(table_metadata)
+
+    @model_validator(mode="after")
+    def check_partition_specs(cls, table_metadata: TableMetadata) -> TableMetadata:
+        return check_partition_specs(table_metadata)
+
+    @model_validator(mode="after")
+    def check_sort_orders(cls, table_metadata: TableMetadata) -> TableMetadata:
+        return check_sort_orders(table_metadata)
+
+    @model_validator(mode="after")
+    def construct_refs(cls, table_metadata: TableMetadata) -> TableMetadata:
+        return construct_refs(table_metadata)
+
+    format_version: Literal[3] = Field(alias="format-version", default=3)
+    """An integer version number for the format. Implementations must throw
+    an exception if a table’s version is higher than the supported version."""
+
+    last_sequence_number: int = Field(alias="last-sequence-number", default=INITIAL_SEQUENCE_NUMBER)
+    """The table’s highest assigned sequence number, a monotonically
+    increasing long that tracks the order of snapshots in a table."""
+
+
+    row_lineage: bool = Field(alias="row-lineage", default=False)
+    """Indicates that row-lineage is enabled on the table
+
+    For more information:
+    https://iceberg.apache.org/spec/?column-projection#row-lineage
+    """
+
+    next_row_id: Optional[int] = Field(alias="next-row-id", default=None)
+    """A long higher than all assigned row IDs; the next snapshot's `first-row-id`."""
+
+    def model_dump_json(
+        self, exclude_none: bool = True, exclude: Optional[Any] = None, by_alias: bool = True, **kwargs: Any
+    ) -> str:
+        raise NotImplementedError("Writing V3 is not yet supported, see: https://github.com/apache/iceberg-python/issues/1551")
+
+
+TableMetadata = Annotated[Union[TableMetadataV1, TableMetadataV2, TableMetadataV3], Field(discriminator="format_version")]
 
 
 def new_table_metadata(
@@ -553,20 +611,36 @@ def new_table_metadata(
             last_partition_id=fresh_partition_spec.last_assigned_field_id,
             table_uuid=table_uuid,
         )
-
-    return TableMetadataV2(
-        location=location,
-        schemas=[fresh_schema],
-        last_column_id=fresh_schema.highest_field_id,
-        current_schema_id=fresh_schema.schema_id,
-        partition_specs=[fresh_partition_spec],
-        default_spec_id=fresh_partition_spec.spec_id,
-        sort_orders=[fresh_sort_order],
-        default_sort_order_id=fresh_sort_order.order_id,
-        properties=properties,
-        last_partition_id=fresh_partition_spec.last_assigned_field_id,
-        table_uuid=table_uuid,
-    )
+    elif format_version == 2:
+        return TableMetadataV2(
+            location=location,
+            schemas=[fresh_schema],
+            last_column_id=fresh_schema.highest_field_id,
+            current_schema_id=fresh_schema.schema_id,
+            partition_specs=[fresh_partition_spec],
+            default_spec_id=fresh_partition_spec.spec_id,
+            sort_orders=[fresh_sort_order],
+            default_sort_order_id=fresh_sort_order.order_id,
+            properties=properties,
+            last_partition_id=fresh_partition_spec.last_assigned_field_id,
+            table_uuid=table_uuid,
+        )
+    elif format_version == 3:
+        return TableMetadataV3(
+            location=location,
+            schemas=[fresh_schema],
+            last_column_id=fresh_schema.highest_field_id,
+            current_schema_id=fresh_schema.schema_id,
+            partition_specs=[fresh_partition_spec],
+            default_spec_id=fresh_partition_spec.spec_id,
+            sort_orders=[fresh_sort_order],
+            default_sort_order_id=fresh_sort_order.order_id,
+            properties=properties,
+            last_partition_id=fresh_partition_spec.last_assigned_field_id,
+            table_uuid=table_uuid,
+        )
+    else:
+        raise ValidationError(f"Unknown format version: {format_version}")
 
 
 class TableMetadataWrapper(IcebergRootModel[TableMetadata]):
@@ -593,6 +667,8 @@ def parse_obj(data: Dict[str, Any]) -> TableMetadata:
             return TableMetadataV1(**data)
         elif format_version == 2:
             return TableMetadataV2(**data)
+        elif format_version == 3:
+            return TableMetadataV3(**data)
         else:
             raise ValidationError(f"Unknown format version: {format_version}")
 
@@ -609,6 +685,8 @@ def _construct_without_validation(table_metadata: TableMetadata) -> TableMetadat
             return TableMetadataV1.model_construct(**dict(table_metadata))
         elif table_metadata.format_version == 2:
             return TableMetadataV2.model_construct(**dict(table_metadata))
+        elif table_metadata.format_version == 3:
+            return TableMetadataV3.model_construct(**dict(table_metadata))
         else:
             raise ValidationError(f"Unknown format version: {table_metadata.format_version}")
 

pyiceberg/table/sorting.py

@@ -102,6 +102,19 @@ def set_null_order(cls, values: Dict[str, Any]) -> Dict[str, Any]:
             values["null-order"] = NullOrder.NULLS_FIRST if values["direction"] == SortDirection.ASC else NullOrder.NULLS_LAST
         return values
 
+    @model_validator(mode="before")
+    @classmethod
+    def map_source_ids_onto_source_id(cls, data: Any) -> Any:
+        if isinstance(data, dict):
+            if "source-id" not in data and (source_ids := data["source-ids"]):
+                if isinstance(source_ids, list):
+                    if len(source_ids) == 0:
+                        raise ValueError("Empty source-ids is not allowed")
+                    if len(source_ids) > 1:
+                        raise ValueError("Multi argument transforms are not yet supported")
+                    data["source-id"] = source_ids[0]
+        return data
+
     source_id: int = Field(alias="source-id")
     transform: Annotated[  # type: ignore
         Transform,

tests/conftest.py

@@ -902,6 +902,72 @@ def generate_snapshot(
     "refs": {"test": {"snapshot-id": 3051729675574597004, "type": "tag", "max-ref-age-ms": 10000000}},
 }
 
+EXAMPLE_TABLE_METADATA_V3 = {
+    "format-version": 3,
+    "table-uuid": "9c12d441-03fe-4693-9a96-a0705ddf69c1",
+    "location": "s3://bucket/test/location",
+    "last-sequence-number": 34,
+    "last-updated-ms": 1602638573590,
+    "last-column-id": 3,
+    "current-schema-id": 1,
+    "schemas": [
+        {"type": "struct", "schema-id": 0, "fields": [{"id": 1, "name": "x", "required": True, "type": "long"}]},
+        {
+            "type": "struct",
+            "schema-id": 1,
+            "identifier-field-ids": [1, 2],
+            "fields": [
+                {"id": 1, "name": "x", "required": True, "type": "long"},
+                {"id": 2, "name": "y", "required": True, "type": "long", "doc": "comment"},
+                {"id": 3, "name": "z", "required": True, "type": "long"},
+                # TODO: Add unknown, timestamp(tz)_ns
+                # {"id": 4, "name": "u", "required": True, "type": "unknown"},
+                # {"id": 5, "name": "ns", "required": True, "type": "timestamp_ns"},
+                # {"id": 6, "name": "nstz", "required": True, "type": "timestamptz_ns"},
+            ],
+        },
+    ],
+    "default-spec-id": 0,
+    "partition-specs": [{"spec-id": 0, "fields": [{"name": "x", "transform": "identity", "source-ids": [1], "field-id": 1000}]}],
+    "last-partition-id": 1000,
+    "default-sort-order-id": 3,
+    "sort-orders": [
+        {
+            "order-id": 3,
+            "fields": [
+                {"transform": "identity", "source-ids": [2], "direction": "asc", "null-order": "nulls-first"},
+                {"transform": "bucket[4]", "source-ids": [3], "direction": "desc", "null-order": "nulls-last"},
+            ],
+        }
+    ],
+    "properties": {"read.split.target.size": "134217728"},
+    "current-snapshot-id": 3055729675574597004,
+    "snapshots": [
+        {
+            "snapshot-id": 3051729675574597004,
+            "timestamp-ms": 1515100955770,
+            "sequence-number": 0,
+            "summary": {"operation": "append"},
+            "manifest-list": "s3://a/b/1.avro",
+        },
+        {
+            "snapshot-id": 3055729675574597004,
+            "parent-snapshot-id": 3051729675574597004,
+            "timestamp-ms": 1555100955770,
+            "sequence-number": 1,
+            "summary": {"operation": "append"},
+            "manifest-list": "s3://a/b/2.avro",
+            "schema-id": 1,
+        },
+    ],
+    "snapshot-log": [
+        {"snapshot-id": 3051729675574597004, "timestamp-ms": 1515100955770},
+        {"snapshot-id": 3055729675574597004, "timestamp-ms": 1555100955770},
+    ],
+    "metadata-log": [{"metadata-file": "s3://bucket/.../v1.json", "timestamp-ms": 1515100}],
+    "refs": {"test": {"snapshot-id": 3051729675574597004, "type": "tag", "max-ref-age-ms": 10000000}},
+}
+
 TABLE_METADATA_V2_WITH_FIXED_AND_DECIMAL_TYPES = {
     "format-version": 2,
     "table-uuid": "9c12d441-03fe-4693-9a96-a0705ddf69c1",
@@ -1052,6 +1118,10 @@ def table_metadata_v2_with_statistics() -> Dict[str, Any]:
     return TABLE_METADATA_V2_WITH_STATISTICS
 
 
+@pytest.fixture
+def example_table_metadata_v3() -> Dict[str, Any]:
+    return EXAMPLE_TABLE_METADATA_V3
+
 @pytest.fixture(scope="session")
 def metadata_location(tmp_path_factory: pytest.TempPathFactory) -> str:
     from pyiceberg.io.pyarrow import PyArrowFileIO

tests/table/test_metadata.py

@@ -33,6 +33,7 @@
     TableMetadataUtil,
     TableMetadataV1,
     TableMetadataV2,
+    TableMetadataV3,
     new_table_metadata,
 )
 from pyiceberg.table.refs import SnapshotRef, SnapshotRefType
@@ -178,6 +179,15 @@ def test_serialize_v2(example_table_metadata_v2: Dict[str, Any]) -> None:
     assert table_metadata == expected
 
 
+def test_serialize_v3(example_table_metadata_v3: Dict[str, Any]) -> None:
+    # Writing will be part of https://github.com/apache/iceberg-python/issues/1551
+
+    with pytest.raises(NotImplementedError) as exc_info:
+        _ = TableMetadataV3(**example_table_metadata_v3).model_dump_json()
+
+    assert "Writing V3 is not yet supported, see: https://github.com/apache/iceberg-python/issues/1551" in str(exc_info.value)
+
+
 def test_migrate_v1_schemas(example_table_metadata_v1: Dict[str, Any]) -> None:
     table_metadata = TableMetadataV1(**example_table_metadata_v1)
 

tests/table/test_partitioning.py

@@ -151,3 +151,17 @@ def test_partition_type(table_schema_simple: Schema) -> None:
         NestedField(field_id=1000, name="str_truncate", field_type=StringType(), required=False),
         NestedField(field_id=1001, name="int_bucket", field_type=IntegerType(), required=True),
     )
+
+
+def test_deserialize_partition_field_v2() -> None:
+    json_partition_spec = """{"source-id": 1, "field-id": 1000, "transform": "truncate[19]", "name": "str_truncate"}"""
+
+    field = PartitionField.model_validate_json(json_partition_spec)
+    assert field == PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate")
+
+
+def test_deserialize_partition_field_v3() -> None:
+    json_partition_spec = """{"source-ids": [1], "field-id": 1000, "transform": "truncate[19]", "name": "str_truncate"}"""
+
+    field = PartitionField.model_validate_json(json_partition_spec)
+    assert field == PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate")

tests/table/test_sorting.py

@@ -102,3 +102,15 @@ def test_unsorting_to_repr() -> None:
 def test_sorting_repr(sort_order: SortOrder) -> None:
     """To make sure that the repr converts back to the original object"""
     assert sort_order == eval(repr(sort_order))
+
+
+def test_serialize_sort_field_v2() -> None:
+    expected = SortField(source_id=19, transform=IdentityTransform(), null_order=NullOrder.NULLS_FIRST)
+    payload = '{"source-id":19,"transform":"identity","direction":"asc","null-order":"nulls-first"}'
+    assert SortField.model_validate_json(payload) == expected
+
+
+def test_serialize_sort_field_v3() -> None:
+    expected = SortField(source_id=19, transform=IdentityTransform(), null_order=NullOrder.NULLS_FIRST)
+    payload = '{"source-ids":[19],"transform":"identity","direction":"asc","null-order":"nulls-first"}'
+    assert SortField.model_validate_json(payload) == expected