From bae82efcb379c79a984df92d40680ccf3bdaaf1d Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Wed, 28 May 2025 14:51:57 -0700 Subject: [PATCH 1/8] Added BigQuery Metastore Catalog --- mkdocs/docs/index.md | 1 + pyiceberg/catalog/__init__.py | 11 + pyiceberg/catalog/bigquery_metastore.py | 409 ++++++++++++++++++ pyproject.toml | 2 + .../integration_test_bigquery_metastore.py | 133 ++++++ tests/catalog/test_bigquery_metastore.py | 171 ++++++++ tests/conftest.py | 28 ++ 7 files changed, 755 insertions(+) create mode 100644 pyiceberg/catalog/bigquery_metastore.py create mode 100644 tests/catalog/integration_test_bigquery_metastore.py create mode 100644 tests/catalog/test_bigquery_metastore.py diff --git a/mkdocs/docs/index.md b/mkdocs/docs/index.md index 5f4ed6cc31..0f74c0f825 100644 --- a/mkdocs/docs/index.md +++ b/mkdocs/docs/index.md @@ -46,6 +46,7 @@ You can mix and match optional dependencies depending on your needs: | hive-kerberos | Support for Hive metastore in Kerberos environment | | glue | Support for AWS Glue | | dynamodb | Support for AWS DynamoDB | +| bigquery | Support for Google Cloud BigQuery | | sql-postgres | Support for SQL Catalog backed by Postgresql | | sql-sqlite | Support for SQL Catalog backed by SQLite | | pyarrow | PyArrow as a FileIO implementation to interact with the object store | diff --git a/pyiceberg/catalog/__init__.py b/pyiceberg/catalog/__init__.py index 1607541d0b..53d916b2f9 100644 --- a/pyiceberg/catalog/__init__.py +++ b/pyiceberg/catalog/__init__.py @@ -118,6 +118,7 @@ class CatalogType(Enum): DYNAMODB = "dynamodb" SQL = "sql" IN_MEMORY = "in-memory" + BIGQUERY = "bigquery" def load_rest(name: str, conf: Properties) -> Catalog: @@ -172,6 +173,15 @@ def load_in_memory(name: str, conf: Properties) -> Catalog: except ImportError as exc: raise NotInstalledError("SQLAlchemy support not installed: pip install 'pyiceberg[sql-sqlite]'") from exc +def load_bigquery(name: str, conf: Properties) -> Catalog: + try: + from pyiceberg.catalog.bigquery_metastore import BigQueryMetastoreCatalog + + return BigQueryMetastoreCatalog(name, **conf) + except ImportError as exc: + raise NotInstalledError("BigQuery support not installed: pip install 'pyiceberg[bigquery]'") from exc + + AVAILABLE_CATALOGS: dict[CatalogType, Callable[[str, Properties], Catalog]] = { CatalogType.REST: load_rest, @@ -180,6 +190,7 @@ def load_in_memory(name: str, conf: Properties) -> Catalog: CatalogType.DYNAMODB: load_dynamodb, CatalogType.SQL: load_sql, CatalogType.IN_MEMORY: load_in_memory, + CatalogType.BIGQUERY: load_bigquery, } diff --git a/pyiceberg/catalog/bigquery_metastore.py b/pyiceberg/catalog/bigquery_metastore.py new file mode 100644 index 0000000000..63f152b212 --- /dev/null +++ b/pyiceberg/catalog/bigquery_metastore.py @@ -0,0 +1,409 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +import json +from typing import Any, List, Optional, Set, Tuple, Union + +from google.api_core.exceptions import NotFound +from google.cloud.bigquery import Client, Dataset, DatasetReference, TableReference +from google.cloud.bigquery import Table as BQTable +from google.cloud.bigquery.external_config import ExternalCatalogDatasetOptions, ExternalCatalogTableOptions +from google.cloud.bigquery.schema import SerDeInfo, StorageDescriptor +from google.cloud.exceptions import Conflict +from google.oauth2 import service_account + +from pyiceberg.catalog import WAREHOUSE_LOCATION, MetastoreCatalog, PropertiesUpdateSummary +from pyiceberg.exceptions import NamespaceAlreadyExistsError, NoSuchNamespaceError, NoSuchTableError, TableAlreadyExistsError +from pyiceberg.io import load_file_io +from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec +from pyiceberg.schema import Schema +from pyiceberg.serializers import FromInputFile +from pyiceberg.table import CommitTableResponse, Table +from pyiceberg.table.locations import load_location_provider +from pyiceberg.table.metadata import TableMetadata, new_table_metadata +from pyiceberg.table.snapshots import TOTAL_DATA_FILES, TOTAL_FILE_SIZE, TOTAL_RECORDS +from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder +from pyiceberg.table.update import TableRequirement, TableUpdate +from pyiceberg.typedef import EMPTY_DICT, Identifier, Properties +from pyiceberg.utils.config import Config + +GCP_PROJECT_ID = "gcp.project-id" +GCP_LOCATION = "gcp.location" +GCP_CREDENTIALS_LOCATION = "gcp.credentials-location" +GCP_CREDENTIALS_INFO = "gcp.credentials-info" + +METADATA_LOCATION_PROP = "metadata_location" +PREVIOUS_METADATA_LOCATION_PROP = "previous_metadata_location" +TABLE_TYPE_PROP = "table_type" +ICEBERG_TABLE_TYPE_VALUE = "ICEBERG" + +HIVE_SERIALIZATION_LIBRARY = "org.apache.iceberg.mr.hive.HiveIcebergSerDe" +HIVE_FILE_INPUT_FORMAT = "org.apache.iceberg.mr.hive.HiveIcebergInputFormat" +HIVE_FILE_OUTPUT_FORMAT = "org.apache.iceberg.mr.hive.HiveIcebergOutputFormat" + +class BigQueryMetastoreCatalog(MetastoreCatalog): + def __init__(self, name: str, **properties: str): + super().__init__(name, **properties) + + project_id: Optional[str] = self.properties.get(GCP_PROJECT_ID) + location: Optional[str] = self.properties.get(GCP_LOCATION) + credentials_location: Optional[str] = self.properties.get(GCP_CREDENTIALS_LOCATION) + credentials_info_str: Optional[str] = self.properties.get(GCP_CREDENTIALS_INFO) + + if not project_id: + raise ValueError(f"Missing property: {GCP_PROJECT_ID}") + + # BigQuery requires current-snapshot-id to be present for tables to be created. + if not Config().get_bool("legacy-current-snapshot-id"): + raise ValueError("legacy-current-snapshot-id must be enabled to work with BigQuery.") + + gcp_credentials = None + if credentials_location: + gcp_credentials = service_account.Credentials.from_service_account_file(credentials_location) + elif credentials_info_str: + try: + credentials_info_dict = json.loads(credentials_info_str) + gcp_credentials = service_account.Credentials.from_service_account_info(credentials_info_dict) + except json.JSONDecodeError as e: + raise ValueError(f"Invalid JSON string for {GCP_CREDENTIALS_INFO}: {e}") from e + except TypeError as e: # from_service_account_info can raise TypeError for bad structure + raise ValueError(f"Invalid credentials structure for {GCP_CREDENTIALS_INFO}: {e}") from e + + self.client: Client = Client( + project=project_id, + credentials=gcp_credentials, + location=location, + ) + + self.location = location + self.project_id = project_id + + def create_table( + self, + identifier: Union[str, Identifier], + schema: Union[Schema, "pa.Schema"], + location: Optional[str] = None, + partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC, + sort_order: SortOrder = UNSORTED_SORT_ORDER, + properties: Properties = EMPTY_DICT, + ) -> Table: + """ + Create an Iceberg table. + + Args: + identifier: Table identifier. + schema: Table's schema. + location: Location for the table. Optional Argument. + partition_spec: PartitionSpec for the table. + sort_order: SortOrder for the table. + properties: Table properties that can be a string based dictionary. + + Returns: + Table: the created table instance. + + Raises: + AlreadyExistsError: If a table with the name already exists. + ValueError: If the identifier is invalid, or no path is given to store metadata. + + """ + schema: Schema = self._convert_schema_if_needed(schema) # type: ignore + + dataset_name, table_name = self.identifier_to_database_and_table(identifier) + + dataset_ref = DatasetReference(project=self.project_id, dataset_id=dataset_name) + location = self._resolve_table_location(location, dataset_name, table_name) + provider = load_location_provider(table_location=location, table_properties=properties) + metadata_location = provider.new_table_metadata_file_location() + + metadata = new_table_metadata( + location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties + ) + + io = load_file_io(properties=self.properties, location=metadata_location) + self._write_metadata(metadata, io, metadata_location) + + dataset_ref = DatasetReference(project=self.project_id, dataset_id=dataset_name) + + try: + table = self._make_new_table(metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name)) + self.client.create_table(table) + except Conflict as e: + raise TableAlreadyExistsError(f"Table {table_name} already exists") from e + + return self.load_table(identifier=identifier) + + def create_namespace(self, namespace: Union[str, Identifier], properties: Properties = EMPTY_DICT) -> None: + """Create a namespace in the catalog. + + Args: + namespace: Namespace identifier. + properties: A string dictionary of properties for the given namespace. + + Raises: + ValueError: If the identifier is invalid. + AlreadyExistsError: If a namespace with the given name already exists. + """ + database_name = self.identifier_to_database(namespace) + + try: + dataset_ref = DatasetReference(project=self.project_id, dataset_id=database_name) + dataset = Dataset(dataset_ref=dataset_ref) + dataset.external_catalog_dataset_options = self._create_external_catalog_dataset_options(self._get_default_warehouse_location_for_dataset(database_name), properties, dataset_ref) + self.client.create_dataset(dataset) + except Conflict as e: + raise NamespaceAlreadyExistsError("Namespace {database_name} already exists") from e + + + def load_table(self, identifier: Union[str, Identifier]) -> Table: + """ + Load the table's metadata and returns the table instance. + + You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'. + Note: This method doesn't scan data stored in the table. + + Args: + identifier: Table identifier. + + Returns: + Table: the table instance with its metadata. + + Raises: + NoSuchTableError: If a table with the name does not exist, or the identifier is invalid. + """ + database_name, table_name = self.identifier_to_database_and_table(identifier, NoSuchTableError) + dataset_name, table_name = self.identifier_to_database_and_table(identifier, NoSuchTableError) + + try: + table_ref = TableReference( + dataset_ref=DatasetReference(project=self.project_id, dataset_id=dataset_name), + table_id=table_name, + ) + table = self.client.get_table(table_ref) + return self._convert_bigquery_table_to_iceberg_table(identifier, table) + except NotFound as e: + raise NoSuchTableError(f"Table does not exist: {dataset_name}.{table_name}") from e + + + def drop_table(self, identifier: Union[str, Identifier]) -> None: + """Drop a table. + + Args: + identifier: Table identifier. + + Raises: + NoSuchTableError: If a table with the name does not exist, or the identifier is invalid. + """ + dataset_name, table_name = self.identifier_to_database_and_table(identifier, NoSuchTableError) + + try: + table_ref = TableReference( + dataset_ref=DatasetReference(project=self.project_id, dataset_id=dataset_name), + table_id=table_name, + ) + self.client.delete_table(table_ref) + except NoSuchTableError as e: + raise NoSuchTableError(f"Table does not exist: {dataset_name}.{table_name}") from e + + def commit_table( + self, table: Table, requirements: Tuple[TableRequirement, ...], updates: Tuple[TableUpdate, ...] + ) -> CommitTableResponse: + raise NotImplementedError + + + def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table: + raise NotImplementedError + + + def drop_namespace(self, namespace: Union[str, Identifier]) -> None: + database_name = self.identifier_to_database(namespace) + + try: + dataset_ref = DatasetReference(project=self.project_id, dataset_id=database_name) + dataset = Dataset(dataset_ref=dataset_ref) + self.client.delete_dataset(dataset) + except NotFound as e: + raise NoSuchNamespaceError(f"Namespace {namespace} does not exist.") from e + + def list_tables(self, namespace: Union[str, Identifier]) -> List[Identifier]: + database_name = self.identifier_to_database(namespace) + iceberg_tables: List[Identifier] = [] + try: + dataset_ref = DatasetReference(project=self.project_id, dataset_id=database_name) + # The list_tables method returns an iterator of TableListItem + bq_tables_iterator = self.client.list_tables(dataset=dataset_ref) + + for bq_table_list_item in bq_tables_iterator: + iceberg_tables.append((database_name, bq_table_list_item.table_id)) + except NotFound: + raise NoSuchNamespaceError(f"Namespace (dataset) '{database_name}' not found.") from None + return iceberg_tables + + def list_namespaces(self, namespace: Union[str, Identifier] = ()) -> List[Identifier]: + # Since this catalog only supports one-level namespaces, it always returns an empty list unless + # passed an empty namespace to list all namespaces within the catalog. + if namespace: + raise NoSuchNamespaceError(f"Namespace (dataset) '{namespace}' not found.") from None + + # List top-level datasets + datasets_iterator = self.client.list_datasets() + return [(dataset.dataset_id,) for dataset in datasets_iterator] + + def register_table(self, identifier: Union[str, Identifier], metadata_location: str) -> Table: + """Register a new table using existing metadata. + + Args: + identifier Union[str, Identifier]: Table identifier for the table + metadata_location str: The location to the metadata + + Returns: + Table: The newly registered table + + Raises: + TableAlreadyExistsError: If the table already exists + """ + dataset_name, table_name = self.identifier_to_database_and_table(identifier) + + dataset_ref = DatasetReference(project=self.project_id, dataset_id=dataset_name) + + io = self._load_file_io(location=metadata_location) + file = io.new_input(metadata_location) + metadata = FromInputFile.table_metadata(file) + + try: + table = self._make_new_table(metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name)) + self.client.create_table(table) + except Conflict as e: + raise TableAlreadyExistsError(f"Table {table_name} already exists") from e + + return self.load_table(identifier=identifier) + + def list_views(self, namespace: Union[str, Identifier]) -> List[Identifier]: + raise NotImplementedError + + def drop_view(self, identifier: Union[str, Identifier]) -> None: + raise NotImplementedError + + def view_exists(self, identifier: Union[str, Identifier]) -> bool: + raise NotImplementedError + + def load_namespace_properties(self, namespace: Union[str, Identifier]) -> Properties: + dataset_name = self.identifier_to_database(namespace) + + try: + dataset = self.client.get_dataset(DatasetReference(project=self.project_id, dataset_id=dataset_name)) + + if dataset and dataset.external_catalog_dataset_options: + return dataset.external_catalog_dataset_options.to_api_repr() + except NotFound as e: + raise NoSuchNamespaceError(f"Namespace {namespace} not found") from e + return {} + + def update_namespace_properties( + self, namespace: Union[str, Identifier], removals: Optional[Set[str]] = None, updates: Properties = EMPTY_DICT + ) -> PropertiesUpdateSummary: + raise NotImplementedError + + + def _make_new_table(self, metadata: TableMetadata, metadata_file_location: str, table_ref: TableReference) -> BQTable: + """ + To make the table queryable from Hive, the user would likely be setting the HIVE_ENGINE_ENABLED + parameter. + + """ + table = BQTable(table_ref) + + # In Python, you typically set the external data configuration directly. + # BigQueryMetastoreUtils.create_external_catalog_table_options is mapped to + # constructing the external_data_configuration for the Table object. + external_config_options = self._create_external_catalog_table_options( + metadata.location, + self._create_table_parameters(metadata_file_location=metadata_file_location, table_metadata=metadata) + ) + + # Apply the external configuration to the Table object. + # This will depend on the exact structure returned by create_external_catalog_table_options. + # A common way to set up an external table in BigQuery Python client is: + table.external_catalog_table_options = external_config_options + + return table + + def _create_external_catalog_table_options(self, location: str, parameters: dict) -> ExternalCatalogTableOptions: + # This structure directly maps to what BigQuery's ExternalConfig expects for Hive. + return ExternalCatalogTableOptions( + storage_descriptor=StorageDescriptor( + location_uri=location, + input_format=HIVE_FILE_INPUT_FORMAT, + output_format=HIVE_FILE_OUTPUT_FORMAT, + serde_info=SerDeInfo(serialization_library=HIVE_SERIALIZATION_LIBRARY) + ), + parameters=parameters + ) + + def _create_external_catalog_dataset_options(self, default_storage_location: str, metadataParameters: dict, dataset_ref: DatasetReference) -> ExternalCatalogDatasetOptions: + return ExternalCatalogDatasetOptions(default_storage_location_uri=self._get_default_warehouse_location_for_dataset(dataset_ref.dataset_id), parameters=metadataParameters) + + def _convert_bigquery_table_to_iceberg_table(self, identifier: str, table: BQTable) -> Table: + dataset_name, table_name = self.identifier_to_database_and_table(identifier, NoSuchTableError) + metadata_location = "" + if table.external_catalog_table_options and table.external_catalog_table_options.parameters: + metadata_location = table.external_catalog_table_options.parameters[METADATA_LOCATION_PROP] + io = load_file_io(properties=self.properties, location=metadata_location) + file = io.new_input(metadata_location) + metadata = FromInputFile.table_metadata(file) + + return Table( + identifier=(dataset_name, table_name), + metadata=metadata, + metadata_location=metadata_location, + io=self._load_file_io(metadata.properties, metadata_location), + catalog=self, + ) + + def _create_table_parameters(self, metadata_file_location: str, table_metadata: TableMetadata) -> dict[str, Any]: + parameters: dict[str, Any] = table_metadata.properties + if table_metadata.table_uuid: + parameters["uuid"] = str(table_metadata.table_uuid) + parameters[METADATA_LOCATION_PROP] = metadata_file_location + parameters[TABLE_TYPE_PROP] = ICEBERG_TABLE_TYPE_VALUE + parameters["EXTERNAL"] = True + + # Add Hive-style basic statistics from snapshot metadata if it exists. + if table_metadata.current_snapshot(): + + if table_metadata.current_snapshot().summary.get(TOTAL_DATA_FILES): + parameters["numFiles"] = table_metadata.current_snapshot.summary.get(TOTAL_DATA_FILES) + + if table_metadata.current_snapshot().summary.get(TOTAL_RECORDS): + parameters["numRows"] = table_metadata.current_snapshot.summary.get(TOTAL_RECORDS) + + if table_metadata.current_snapshot().summary.get(TOTAL_FILE_SIZE): + parameters["totalSize"] = table_metadata.current_snapshot.summary.get(TOTAL_FILE_SIZE) + + return parameters + + def _default_storage_location(self, location: Optional[str], dataset_ref: DatasetReference) -> str | None: + if location: + return location + dataset = self.client.get_dataset(dataset_ref) + if dataset and dataset.external_catalog_dataset_options: + return dataset.external_catalog_dataset_options.default_storage_location_uri + + def _get_default_warehouse_location_for_dataset(self, database_name: str) -> str: + if warehouse_path := self.properties.get(WAREHOUSE_LOCATION): + warehouse_path = warehouse_path.rstrip("/") + return f"{warehouse_path}/{database_name}.db" + + raise ValueError("No default path is set, please specify a location when creating a table") \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 06644dd87e..aa4a75f464 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -73,6 +73,7 @@ ray = [ python-snappy = { version = ">=0.6.0,<1.0.0", optional = true } thrift = { version = ">=0.13.0,<1.0.0", optional = true } boto3 = { version = ">=1.24.59", optional = true } +google-cloud-bigquery = { version = "^3.33.0", optional = true } s3fs = { version = ">=2023.1.0", optional = true } adlfs = { version = ">=2024.7.0", optional = true } gcsfs = { version = ">=2023.1.0", optional = true } @@ -314,6 +315,7 @@ s3fs = ["s3fs"] glue = ["boto3"] adlfs = ["adlfs"] dynamodb = ["boto3"] +bigquery = ["google-cloud-bigquery"] zstandard = ["zstandard"] sql-postgres = ["sqlalchemy", "psycopg2-binary"] sql-sqlite = ["sqlalchemy"] diff --git a/tests/catalog/integration_test_bigquery_metastore.py b/tests/catalog/integration_test_bigquery_metastore.py new file mode 100644 index 0000000000..0764b2e279 --- /dev/null +++ b/tests/catalog/integration_test_bigquery_metastore.py @@ -0,0 +1,133 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +import os +import pytest +from pytest_mock import MockFixture + +from pyiceberg.catalog.bigquery_metastore import BigQueryMetastoreCatalog +from pyiceberg.exceptions import NamespaceAlreadyExistsError, NoSuchNamespaceError, NoSuchTableError +from pyiceberg.io import load_file_io +from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC +from pyiceberg.schema import Schema +from pyiceberg.serializers import ToOutputFile +from pyiceberg.table.metadata import new_table_metadata +from pyiceberg.table.sorting import UNSORTED_SORT_ORDER +from tests.conftest import BQ_TABLE_METADATA_LOCATION_REGEX, BUCKET_NAME, TABLE_METADATA_LOCATION_REGEX + +def test_create_table_with_database_location( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_ddb_catalog" + identifier = (gcp_dataset_name, table_name) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog.create_namespace(namespace=gcp_dataset_name) + table = test_catalog.create_table(identifier, table_schema_nested) + assert table.name() == identifier + assert BQ_TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location) + + tables_in_namespace = test_catalog.list_tables(namespace=gcp_dataset_name) + assert identifier in tables_in_namespace + +def test_drop_table_with_database_location( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_ddb_catalog" + identifier = (gcp_dataset_name, table_name) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog.create_namespace(namespace=gcp_dataset_name) + table = test_catalog.create_table(identifier, table_schema_nested) + test_catalog.drop_table(identifier) + + tables_in_namespace_after_drop = test_catalog.list_tables(namespace=gcp_dataset_name) + assert identifier not in tables_in_namespace_after_drop + + # Expect that the table no longer exists. + try: + test_catalog.load_table(identifier) + raise AssertionError() + except NoSuchTableError as e: + assert True + +def test_create_and_drop_namespace( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + # Create namespace. + catalog_name = "test_ddb_catalog" + identifier = (gcp_dataset_name, table_name) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog.create_namespace(namespace=gcp_dataset_name) + + # Ensure that the namespace exists. + namespaces = test_catalog.list_namespaces() + assert (gcp_dataset_name,) in namespaces + + # Drop the namespace and ensure it does not exist. + test_catalog.drop_namespace(namespace=gcp_dataset_name) + namespaces_after_drop = test_catalog.list_namespaces() + assert (gcp_dataset_name,) not in namespaces_after_drop + + # Verify with load_namespace_properties as well + with pytest.raises(NoSuchNamespaceError): + test_catalog.load_namespace_properties(gcp_dataset_name) + +def test_register_table( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_bq_register_catalog" + identifier = (gcp_dataset_name, table_name) + warehouse_path = "gs://alexstephen-test-bq-bucket/" # Matches conftest BUCKET_NAME for GCS interaction + gcp_project_id = "alexstephen-test-1" + + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": gcp_project_id, "warehouse": warehouse_path}) + + test_catalog.create_namespace(namespace=gcp_dataset_name) + + # Manually create a metadata file in GCS + table_gcs_location = f"{warehouse_path.rstrip('/')}/{gcp_dataset_name}.db/{table_name}" + # Construct a unique metadata file name similar to how pyiceberg would + metadata_file_name = "00000-aaaaaaaa-aaaa-4aaa-aaaa-aaaaaaaaaaaa.metadata.json" + metadata_gcs_path = f"{table_gcs_location}/metadata/{metadata_file_name}" + + metadata = new_table_metadata(location=table_gcs_location, schema=table_schema_nested, properties={}, partition_spec=UNPARTITIONED_PARTITION_SPEC, sort_order=UNSORTED_SORT_ORDER) + io = load_file_io(properties=test_catalog.properties, location=metadata_gcs_path) + test_catalog._write_metadata(metadata, io, metadata_gcs_path) + ToOutputFile.table_metadata(metadata, io.new_output(metadata_gcs_path), overwrite=True) + + # Register the table + registered_table = test_catalog.register_table(identifier, metadata_gcs_path) + + assert registered_table.name() == identifier + assert registered_table.metadata_location == metadata_gcs_path + assert registered_table.metadata.location == table_gcs_location + assert BQ_TABLE_METADATA_LOCATION_REGEX.match(registered_table.metadata_location) + + # Verify table exists and is loadable + loaded_table = test_catalog.load_table(identifier) + assert loaded_table.name() == registered_table.name() + assert loaded_table.metadata_location == metadata_gcs_path + + # Clean up + test_catalog.drop_table(identifier) + test_catalog.drop_namespace(gcp_dataset_name) diff --git a/tests/catalog/test_bigquery_metastore.py b/tests/catalog/test_bigquery_metastore.py new file mode 100644 index 0000000000..045c3ea8a9 --- /dev/null +++ b/tests/catalog/test_bigquery_metastore.py @@ -0,0 +1,171 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +import os +from unittest.mock import MagicMock + +from google.api_core.exceptions import NotFound +from google.cloud.bigquery import Dataset, DatasetReference, Table, TableReference +from google.cloud.bigquery.external_config import ExternalCatalogDatasetOptions, ExternalCatalogTableOptions +from pytest_mock import MockFixture + +from pyiceberg.catalog.bigquery_metastore import ICEBERG_TABLE_TYPE_VALUE, TABLE_TYPE_PROP, BigQueryMetastoreCatalog +from pyiceberg.exceptions import NoSuchTableError +from pyiceberg.schema import Schema + + +def dataset_mock() -> Dataset: + d = Dataset(DatasetReference(dataset_id="my-dataset", project="my-project")) + d.external_catalog_dataset_options = ExternalCatalogDatasetOptions( + default_storage_location_uri="gs://test-bucket/iceberg-dataset" + ) + return d + + +def table_mock() -> Table: + t = Table(TableReference(dataset_ref=DatasetReference(dataset_id="my-dataset", project="my-project"), table_id="my-table")) + t.external_catalog_table_options = ExternalCatalogTableOptions( + parameters={ + "metadata_location": "gs://alexstephen-test-bq-bucket/my_iceberg_database_aaaaaaaaaaaaaaaaaaaa.db/my_iceberg_table-bbbbbbbbbbbbbbbbbbbb/metadata/12343-aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa.metadata", + TABLE_TYPE_PROP: ICEBERG_TABLE_TYPE_VALUE, + } + ) + return t + +def test_create_table_with_database_location( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + # Setup mocks for GCP. + client_mock = MagicMock() + client_mock.get_dataset.return_value = dataset_mock() + client_mock.get_table.return_value = table_mock() + + # Setup mocks for GCS. + file_mock = MagicMock() + + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch('pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata', return_value=file_mock) + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_ddb_catalog" + identifier = (gcp_dataset_name, table_name) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog.create_namespace(namespace=gcp_dataset_name) + table = test_catalog.create_table(identifier, table_schema_nested) + assert table.name() == identifier + +def test_drop_table_with_database_location( + mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str +) -> None: + # Setup mocks for GCP. + client_mock = MagicMock() + client_mock.get_dataset.return_value = dataset_mock() + client_mock.get_table.return_value = table_mock() + + # Setup mocks for GCS. + file_mock = MagicMock() + + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch('pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata', return_value=file_mock) + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_ddb_catalog" + identifier = (gcp_dataset_name, table_name) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog.create_namespace(namespace=gcp_dataset_name) + table = test_catalog.create_table(identifier, table_schema_nested) + test_catalog.drop_table(identifier) + + client_mock.get_table.side_effect = NotFound("Table Not Found") + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + + # Expect that the table no longer exists. + try: + test_catalog.load_table(identifier) + raise AssertionError() + except NoSuchTableError as e: + assert True + + +def test_drop_namespace(mocker: MockFixture, gcp_dataset_name: str) -> None: + client_mock = MagicMock() + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_catalog" + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1"}) + + test_catalog.drop_namespace(gcp_dataset_name) + client_mock.delete_dataset.assert_called_once() + args, _ = client_mock.delete_dataset.call_args + assert isinstance(args[0], Dataset) + assert args[0].dataset_id == gcp_dataset_name + + +def test_list_tables(mocker: MockFixture, gcp_dataset_name: str) -> None: + client_mock = MagicMock() + + # Mock list_tables to return an iterator of TableListItem + table_list_item_1 = MagicMock() + table_list_item_1.table_id = "iceberg_table_A" + table_list_item_1.reference = TableReference( + dataset_ref=DatasetReference(project="my-project", dataset_id=gcp_dataset_name), table_id="iceberg_table_A" + ) + + table_list_item_2 = MagicMock() + table_list_item_2.table_id = "iceberg_table_B" + table_list_item_2.reference = TableReference( + dataset_ref=DatasetReference(project="my-project", dataset_id=gcp_dataset_name), table_id="iceberg_table_B" + ) + + client_mock.list_tables.return_value = iter([table_list_item_1, table_list_item_2]) + + # Mock get_table to always return a table that is considered an Iceberg table. + # The table_mock() function already creates a table with the necessary Iceberg properties. + client_mock.get_table.return_value = table_mock() + + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_catalog" + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "my-project"}) + + tables = test_catalog.list_tables(gcp_dataset_name) + + # Assert that all tables returned by client.list_tables are listed + assert len(tables) == 2 + assert (gcp_dataset_name, "iceberg_table_A") in tables + assert (gcp_dataset_name, "iceberg_table_B") in tables + + client_mock.list_tables.assert_called_once_with(dataset=DatasetReference(project="my-project", dataset_id=gcp_dataset_name)) + +def test_list_namespaces(mocker: MockFixture) -> None: + client_mock = MagicMock() + dataset_item_1 = Dataset(DatasetReference(project="my-project", dataset_id="dataset1")) + dataset_item_2 = Dataset(DatasetReference(project="my-project", dataset_id="dataset2")) + client_mock.list_datasets.return_value = iter([dataset_item_1, dataset_item_2]) + + mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + + catalog_name = "test_catalog" + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "my-project"}) + + namespaces = test_catalog.list_namespaces() + assert len(namespaces) == 2 + assert ("dataset1",) in namespaces + assert ("dataset2",) in namespaces + client_mock.list_datasets.assert_called_once() diff --git a/tests/conftest.py b/tests/conftest.py index 16c9e06dac..21870aef7a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2277,6 +2277,12 @@ def database_name() -> str: random_tag = "".join(choice(string.ascii_letters) for _ in range(RANDOM_LENGTH)) return (prefix + random_tag).lower() +@pytest.fixture() +def gcp_dataset_name() -> str: + prefix = "my_iceberg_database_" + random_tag = "".join(choice(string.ascii_letters) for _ in range(RANDOM_LENGTH)) + return (prefix + random_tag).lower() + @pytest.fixture() def database_list(database_name: str) -> List[str]: @@ -2304,6 +2310,13 @@ def hierarchical_namespace_list(hierarchical_namespace_name: str) -> List[str]: re.X, ) +BQ_TABLE_METADATA_LOCATION_REGEX = re.compile( + r"""gs://alexstephen-test-bq-bucket/my_iceberg_database_[a-z]{20}.db/ + my_iceberg_table-[a-z]{20}/metadata/ + [0-9]{5}-[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}.metadata.json""", + re.X, +) + UNIFIED_AWS_SESSION_PROPERTIES = { "client.access-key-id": "client.access-key-id", "client.secret-access-key": "client.secret-access-key", @@ -2324,6 +2337,12 @@ def get_bucket_name() -> str: raise ValueError("Please specify a bucket to run the test by setting environment variable AWS_TEST_BUCKET") return bucket_name +def get_gcs_bucket_name() -> str: + bucket_name = os.getenv("GCS_TEST_BUCKET") + if bucket_name is None: + raise ValueError("Please specify a bucket to run the test by setting environment variable GCS_TEST_BUCKET") + return bucket_name + def get_glue_endpoint() -> Optional[str]: """Set the optional environment variable AWS_TEST_GLUE_ENDPOINT for a glue endpoint to test.""" @@ -2339,6 +2358,15 @@ def get_s3_path(bucket_name: str, database_name: Optional[str] = None, table_nam result_path += f"/{table_name}" return result_path +def get_gcs_path(bucket_name: str, database_name: Optional[str] = None, table_name: Optional[str] = None) -> str: + result_path = f"gcs://{bucket_name}" + if database_name is not None: + result_path += f"/{database_name}.db" + + if table_name is not None: + result_path += f"/{table_name}" + return result_path + @pytest.fixture(name="s3", scope="module") def fixture_s3_client() -> boto3.client: From 9098af149f00aa19bb3377078261b9c10d9c433d Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Sat, 14 Jun 2025 21:50:09 -0400 Subject: [PATCH 2/8] linter --- pyiceberg/catalog/__init__.py | 2 +- pyiceberg/catalog/bigquery_metastore.py | 72 +++++++++++-------- pyproject.toml | 4 ++ .../integration_test_bigquery_metastore.py | 36 +++++++--- tests/catalog/test_bigquery_metastore.py | 31 ++++---- tests/conftest.py | 3 + 6 files changed, 94 insertions(+), 54 deletions(-) diff --git a/pyiceberg/catalog/__init__.py b/pyiceberg/catalog/__init__.py index 53d916b2f9..a143ad09e5 100644 --- a/pyiceberg/catalog/__init__.py +++ b/pyiceberg/catalog/__init__.py @@ -173,6 +173,7 @@ def load_in_memory(name: str, conf: Properties) -> Catalog: except ImportError as exc: raise NotInstalledError("SQLAlchemy support not installed: pip install 'pyiceberg[sql-sqlite]'") from exc + def load_bigquery(name: str, conf: Properties) -> Catalog: try: from pyiceberg.catalog.bigquery_metastore import BigQueryMetastoreCatalog @@ -182,7 +183,6 @@ def load_bigquery(name: str, conf: Properties) -> Catalog: raise NotInstalledError("BigQuery support not installed: pip install 'pyiceberg[bigquery]'") from exc - AVAILABLE_CATALOGS: dict[CatalogType, Callable[[str, Properties], Catalog]] = { CatalogType.REST: load_rest, CatalogType.HIVE: load_hive, diff --git a/pyiceberg/catalog/bigquery_metastore.py b/pyiceberg/catalog/bigquery_metastore.py index 63f152b212..546d16fae7 100644 --- a/pyiceberg/catalog/bigquery_metastore.py +++ b/pyiceberg/catalog/bigquery_metastore.py @@ -15,7 +15,7 @@ # specific language governing permissions and limitations # under the License. import json -from typing import Any, List, Optional, Set, Tuple, Union +from typing import TYPE_CHECKING, Any, List, Optional, Set, Tuple, Union from google.api_core.exceptions import NotFound from google.cloud.bigquery import Client, Dataset, DatasetReference, TableReference @@ -40,6 +40,9 @@ from pyiceberg.typedef import EMPTY_DICT, Identifier, Properties from pyiceberg.utils.config import Config +if TYPE_CHECKING: + import pyarrow as pa + GCP_PROJECT_ID = "gcp.project-id" GCP_LOCATION = "gcp.location" GCP_CREDENTIALS_LOCATION = "gcp.credentials-location" @@ -54,6 +57,7 @@ HIVE_FILE_INPUT_FORMAT = "org.apache.iceberg.mr.hive.HiveIcebergInputFormat" HIVE_FILE_OUTPUT_FORMAT = "org.apache.iceberg.mr.hive.HiveIcebergOutputFormat" + class BigQueryMetastoreCatalog(MetastoreCatalog): def __init__(self, name: str, **properties: str): super().__init__(name, **properties) @@ -138,7 +142,9 @@ def create_table( dataset_ref = DatasetReference(project=self.project_id, dataset_id=dataset_name) try: - table = self._make_new_table(metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name)) + table = self._make_new_table( + metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name) + ) self.client.create_table(table) except Conflict as e: raise TableAlreadyExistsError(f"Table {table_name} already exists") from e @@ -161,12 +167,13 @@ def create_namespace(self, namespace: Union[str, Identifier], properties: Proper try: dataset_ref = DatasetReference(project=self.project_id, dataset_id=database_name) dataset = Dataset(dataset_ref=dataset_ref) - dataset.external_catalog_dataset_options = self._create_external_catalog_dataset_options(self._get_default_warehouse_location_for_dataset(database_name), properties, dataset_ref) + dataset.external_catalog_dataset_options = self._create_external_catalog_dataset_options( + self._get_default_warehouse_location_for_dataset(database_name), properties, dataset_ref + ) self.client.create_dataset(dataset) except Conflict as e: raise NamespaceAlreadyExistsError("Namespace {database_name} already exists") from e - def load_table(self, identifier: Union[str, Identifier]) -> Table: """ Load the table's metadata and returns the table instance. @@ -196,7 +203,6 @@ def load_table(self, identifier: Union[str, Identifier]) -> Table: except NotFound as e: raise NoSuchTableError(f"Table does not exist: {dataset_name}.{table_name}") from e - def drop_table(self, identifier: Union[str, Identifier]) -> None: """Drop a table. @@ -222,11 +228,9 @@ def commit_table( ) -> CommitTableResponse: raise NotImplementedError - def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table: raise NotImplementedError - def drop_namespace(self, namespace: Union[str, Identifier]) -> None: database_name = self.identifier_to_database(namespace) @@ -283,7 +287,9 @@ def register_table(self, identifier: Union[str, Identifier], metadata_location: metadata = FromInputFile.table_metadata(file) try: - table = self._make_new_table(metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name)) + table = self._make_new_table( + metadata, metadata_location, TableReference(dataset_ref=dataset_ref, table_id=table_name) + ) self.client.create_table(table) except Conflict as e: raise TableAlreadyExistsError(f"Table {table_name} already exists") from e @@ -316,13 +322,8 @@ def update_namespace_properties( ) -> PropertiesUpdateSummary: raise NotImplementedError - def _make_new_table(self, metadata: TableMetadata, metadata_file_location: str, table_ref: TableReference) -> BQTable: - """ - To make the table queryable from Hive, the user would likely be setting the HIVE_ENGINE_ENABLED - parameter. - - """ + """To make the table queryable from Hive, the user would likely be setting the HIVE_ENGINE_ENABLED parameter.""" table = BQTable(table_ref) # In Python, you typically set the external data configuration directly. @@ -330,7 +331,7 @@ def _make_new_table(self, metadata: TableMetadata, metadata_file_location: str, # constructing the external_data_configuration for the Table object. external_config_options = self._create_external_catalog_table_options( metadata.location, - self._create_table_parameters(metadata_file_location=metadata_file_location, table_metadata=metadata) + self._create_table_parameters(metadata_file_location=metadata_file_location, table_metadata=metadata), ) # Apply the external configuration to the Table object. @@ -340,22 +341,27 @@ def _make_new_table(self, metadata: TableMetadata, metadata_file_location: str, return table - def _create_external_catalog_table_options(self, location: str, parameters: dict) -> ExternalCatalogTableOptions: + def _create_external_catalog_table_options(self, location: str, parameters: dict[str, Any]) -> ExternalCatalogTableOptions: # This structure directly maps to what BigQuery's ExternalConfig expects for Hive. return ExternalCatalogTableOptions( storage_descriptor=StorageDescriptor( location_uri=location, input_format=HIVE_FILE_INPUT_FORMAT, output_format=HIVE_FILE_OUTPUT_FORMAT, - serde_info=SerDeInfo(serialization_library=HIVE_SERIALIZATION_LIBRARY) + serde_info=SerDeInfo(serialization_library=HIVE_SERIALIZATION_LIBRARY), ), - parameters=parameters + parameters=parameters, ) - def _create_external_catalog_dataset_options(self, default_storage_location: str, metadataParameters: dict, dataset_ref: DatasetReference) -> ExternalCatalogDatasetOptions: - return ExternalCatalogDatasetOptions(default_storage_location_uri=self._get_default_warehouse_location_for_dataset(dataset_ref.dataset_id), parameters=metadataParameters) + def _create_external_catalog_dataset_options( + self, default_storage_location: str, metadataParameters: dict[str, Any], dataset_ref: DatasetReference + ) -> ExternalCatalogDatasetOptions: + return ExternalCatalogDatasetOptions( + default_storage_location_uri=self._get_default_warehouse_location_for_dataset(dataset_ref.dataset_id), + parameters=metadataParameters, + ) - def _convert_bigquery_table_to_iceberg_table(self, identifier: str, table: BQTable) -> Table: + def _convert_bigquery_table_to_iceberg_table(self, identifier: Union[str, Identifier], table: BQTable) -> Table: dataset_name, table_name = self.identifier_to_database_and_table(identifier, NoSuchTableError) metadata_location = "" if table.external_catalog_table_options and table.external_catalog_table_options.parameters: @@ -381,29 +387,33 @@ def _create_table_parameters(self, metadata_file_location: str, table_metadata: parameters["EXTERNAL"] = True # Add Hive-style basic statistics from snapshot metadata if it exists. - if table_metadata.current_snapshot(): - - if table_metadata.current_snapshot().summary.get(TOTAL_DATA_FILES): - parameters["numFiles"] = table_metadata.current_snapshot.summary.get(TOTAL_DATA_FILES) + snapshot = table_metadata.current_snapshot() + if snapshot: + summary = snapshot.summary + if summary: + if summary.get(TOTAL_DATA_FILES): + parameters["numFiles"] = summary.get(TOTAL_DATA_FILES) - if table_metadata.current_snapshot().summary.get(TOTAL_RECORDS): - parameters["numRows"] = table_metadata.current_snapshot.summary.get(TOTAL_RECORDS) + if summary.get(TOTAL_RECORDS): + parameters["numRows"] = summary.get(TOTAL_RECORDS) - if table_metadata.current_snapshot().summary.get(TOTAL_FILE_SIZE): - parameters["totalSize"] = table_metadata.current_snapshot.summary.get(TOTAL_FILE_SIZE) + if summary.get(TOTAL_FILE_SIZE): + parameters["totalSize"] = summary.get(TOTAL_FILE_SIZE) return parameters - def _default_storage_location(self, location: Optional[str], dataset_ref: DatasetReference) -> str | None: + def _default_storage_location(self, location: Optional[str], dataset_ref: DatasetReference) -> Union[str, None]: if location: return location dataset = self.client.get_dataset(dataset_ref) if dataset and dataset.external_catalog_dataset_options: return dataset.external_catalog_dataset_options.default_storage_location_uri + raise ValueError("Could not find default storage location") + def _get_default_warehouse_location_for_dataset(self, database_name: str) -> str: if warehouse_path := self.properties.get(WAREHOUSE_LOCATION): warehouse_path = warehouse_path.rstrip("/") return f"{warehouse_path}/{database_name}.db" - raise ValueError("No default path is set, please specify a location when creating a table") \ No newline at end of file + raise ValueError("No default path is set, please specify a location when creating a table") diff --git a/pyproject.toml b/pyproject.toml index aa4a75f464..fcb02eb4bc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -289,6 +289,10 @@ ignore_missing_imports = true module = "pyiceberg_core.*" ignore_missing_imports = true +[[tool.mypy.overrides]] +module = "google.*" +ignore_missing_imports = true + [tool.poetry.scripts] pyiceberg = "pyiceberg.cli.console:run" diff --git a/tests/catalog/integration_test_bigquery_metastore.py b/tests/catalog/integration_test_bigquery_metastore.py index 0764b2e279..6f5f93be35 100644 --- a/tests/catalog/integration_test_bigquery_metastore.py +++ b/tests/catalog/integration_test_bigquery_metastore.py @@ -15,18 +15,20 @@ # specific language governing permissions and limitations # under the License. import os + import pytest from pytest_mock import MockFixture from pyiceberg.catalog.bigquery_metastore import BigQueryMetastoreCatalog -from pyiceberg.exceptions import NamespaceAlreadyExistsError, NoSuchNamespaceError, NoSuchTableError +from pyiceberg.exceptions import NoSuchNamespaceError, NoSuchTableError from pyiceberg.io import load_file_io from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC from pyiceberg.schema import Schema from pyiceberg.serializers import ToOutputFile from pyiceberg.table.metadata import new_table_metadata from pyiceberg.table.sorting import UNSORTED_SORT_ORDER -from tests.conftest import BQ_TABLE_METADATA_LOCATION_REGEX, BUCKET_NAME, TABLE_METADATA_LOCATION_REGEX +from tests.conftest import BQ_TABLE_METADATA_LOCATION_REGEX + def test_create_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str @@ -35,7 +37,9 @@ def test_create_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + ) test_catalog.create_namespace(namespace=gcp_dataset_name) table = test_catalog.create_table(identifier, table_schema_nested) assert table.name() == identifier @@ -44,6 +48,7 @@ def test_create_table_with_database_location( tables_in_namespace = test_catalog.list_tables(namespace=gcp_dataset_name) assert identifier in tables_in_namespace + def test_drop_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -51,9 +56,11 @@ def test_drop_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + ) test_catalog.create_namespace(namespace=gcp_dataset_name) - table = test_catalog.create_table(identifier, table_schema_nested) + test_catalog.create_table(identifier, table_schema_nested) test_catalog.drop_table(identifier) tables_in_namespace_after_drop = test_catalog.list_tables(namespace=gcp_dataset_name) @@ -63,9 +70,10 @@ def test_drop_table_with_database_location( try: test_catalog.load_table(identifier) raise AssertionError() - except NoSuchTableError as e: + except NoSuchTableError: assert True + def test_create_and_drop_namespace( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -73,8 +81,9 @@ def test_create_and_drop_namespace( # Create namespace. catalog_name = "test_ddb_catalog" - identifier = (gcp_dataset_name, table_name) - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + ) test_catalog.create_namespace(namespace=gcp_dataset_name) # Ensure that the namespace exists. @@ -90,6 +99,7 @@ def test_create_and_drop_namespace( with pytest.raises(NoSuchNamespaceError): test_catalog.load_namespace_properties(gcp_dataset_name) + def test_register_table( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -97,7 +107,7 @@ def test_register_table( catalog_name = "test_bq_register_catalog" identifier = (gcp_dataset_name, table_name) - warehouse_path = "gs://alexstephen-test-bq-bucket/" # Matches conftest BUCKET_NAME for GCS interaction + warehouse_path = "gs://alexstephen-test-bq-bucket/" # Matches conftest BUCKET_NAME for GCS interaction gcp_project_id = "alexstephen-test-1" test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": gcp_project_id, "warehouse": warehouse_path}) @@ -110,7 +120,13 @@ def test_register_table( metadata_file_name = "00000-aaaaaaaa-aaaa-4aaa-aaaa-aaaaaaaaaaaa.metadata.json" metadata_gcs_path = f"{table_gcs_location}/metadata/{metadata_file_name}" - metadata = new_table_metadata(location=table_gcs_location, schema=table_schema_nested, properties={}, partition_spec=UNPARTITIONED_PARTITION_SPEC, sort_order=UNSORTED_SORT_ORDER) + metadata = new_table_metadata( + location=table_gcs_location, + schema=table_schema_nested, + properties={}, + partition_spec=UNPARTITIONED_PARTITION_SPEC, + sort_order=UNSORTED_SORT_ORDER, + ) io = load_file_io(properties=test_catalog.properties, location=metadata_gcs_path) test_catalog._write_metadata(metadata, io, metadata_gcs_path) ToOutputFile.table_metadata(metadata, io.new_output(metadata_gcs_path), overwrite=True) diff --git a/tests/catalog/test_bigquery_metastore.py b/tests/catalog/test_bigquery_metastore.py index 045c3ea8a9..5260ffa145 100644 --- a/tests/catalog/test_bigquery_metastore.py +++ b/tests/catalog/test_bigquery_metastore.py @@ -45,6 +45,7 @@ def table_mock() -> Table: ) return t + def test_create_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -56,17 +57,20 @@ def test_create_table_with_database_location( # Setup mocks for GCS. file_mock = MagicMock() - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) - mocker.patch('pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata', return_value=file_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata", return_value=file_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + ) test_catalog.create_namespace(namespace=gcp_dataset_name) table = test_catalog.create_table(identifier, table_schema_nested) assert table.name() == identifier + def test_drop_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -78,31 +82,33 @@ def test_drop_table_with_database_location( # Setup mocks for GCS. file_mock = MagicMock() - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) - mocker.patch('pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata', return_value=file_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata", return_value=file_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + ) test_catalog.create_namespace(namespace=gcp_dataset_name) - table = test_catalog.create_table(identifier, table_schema_nested) + test_catalog.create_table(identifier, table_schema_nested) test_catalog.drop_table(identifier) client_mock.get_table.side_effect = NotFound("Table Not Found") - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) # Expect that the table no longer exists. try: test_catalog.load_table(identifier) raise AssertionError() - except NoSuchTableError as e: + except NoSuchTableError: assert True def test_drop_namespace(mocker: MockFixture, gcp_dataset_name: str) -> None: client_mock = MagicMock() - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" @@ -137,7 +143,7 @@ def test_list_tables(mocker: MockFixture, gcp_dataset_name: str) -> None: # The table_mock() function already creates a table with the necessary Iceberg properties. client_mock.get_table.return_value = table_mock() - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" @@ -152,13 +158,14 @@ def test_list_tables(mocker: MockFixture, gcp_dataset_name: str) -> None: client_mock.list_tables.assert_called_once_with(dataset=DatasetReference(project="my-project", dataset_id=gcp_dataset_name)) + def test_list_namespaces(mocker: MockFixture) -> None: client_mock = MagicMock() dataset_item_1 = Dataset(DatasetReference(project="my-project", dataset_id="dataset1")) dataset_item_2 = Dataset(DatasetReference(project="my-project", dataset_id="dataset2")) client_mock.list_datasets.return_value = iter([dataset_item_1, dataset_item_2]) - mocker.patch('pyiceberg.catalog.bigquery_metastore.Client', return_value=client_mock) + mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" diff --git a/tests/conftest.py b/tests/conftest.py index 21870aef7a..5aff45c1ed 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2277,6 +2277,7 @@ def database_name() -> str: random_tag = "".join(choice(string.ascii_letters) for _ in range(RANDOM_LENGTH)) return (prefix + random_tag).lower() + @pytest.fixture() def gcp_dataset_name() -> str: prefix = "my_iceberg_database_" @@ -2337,6 +2338,7 @@ def get_bucket_name() -> str: raise ValueError("Please specify a bucket to run the test by setting environment variable AWS_TEST_BUCKET") return bucket_name + def get_gcs_bucket_name() -> str: bucket_name = os.getenv("GCS_TEST_BUCKET") if bucket_name is None: @@ -2358,6 +2360,7 @@ def get_s3_path(bucket_name: str, database_name: Optional[str] = None, table_nam result_path += f"/{table_name}" return result_path + def get_gcs_path(bucket_name: str, database_name: Optional[str] = None, table_name: Optional[str] = None) -> str: result_path = f"gcs://{bucket_name}" if database_name is not None: From 7f6b1e22f24d6924574c3c17a13a51524b416738 Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Sat, 14 Jun 2025 21:52:48 -0400 Subject: [PATCH 3/8] lockfile update --- poetry.lock | 3368 +++++++++++++++++++++++++-------------------------- 1 file changed, 1672 insertions(+), 1696 deletions(-) diff --git a/poetry.lock b/poetry.lock index 2644e4fa08..24b3669fc0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. [[package]] name = "adlfs" @@ -27,30 +27,29 @@ tests = ["arrow", "dask[dataframe]", "docker", "pytest", "pytest-mock"] [[package]] name = "aiobotocore" -version = "2.24.0" +version = "2.22.0" description = "Async client for aws services using botocore and aiohttp" optional = true -python-versions = ">=3.9" +python-versions = ">=3.8" groups = ["main"] markers = "extra == \"s3fs\"" files = [ - {file = "aiobotocore-2.24.0-py3-none-any.whl", hash = "sha256:72bb1f8eb1b962779a95e1bcc9cf35bc33196ad763b622a40ae7fa9d2e95c87c"}, - {file = "aiobotocore-2.24.0.tar.gz", hash = "sha256:b32c0c45d38c22a18ce395a0b5448606c5260603296a152895b5bdb40ab3139d"}, + {file = "aiobotocore-2.22.0-py3-none-any.whl", hash = "sha256:b4e6306f79df9d81daff1f9d63189a2dbee4b77ce3ab937304834e35eaaeeccf"}, + {file = "aiobotocore-2.22.0.tar.gz", hash = "sha256:11091477266b75c2b5d28421c1f2bc9a87d175d0b8619cb830805e7a113a170b"}, ] [package.dependencies] aiohttp = ">=3.9.2,<4.0.0" aioitertools = ">=0.5.1,<1.0.0" -botocore = 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[package.extras] check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] @@ -6409,7 +6576,9 @@ cffi = ["cffi (>=1.11)"] [extras] adlfs = ["adlfs"] bigquery = ["google-cloud-bigquery"] -daft = ["getdaft"] +bodo = ["bodo"] +daft = ["daft"] +datafusion = ["datafusion"] duckdb = ["duckdb", "pyarrow"] dynamodb = ["boto3"] gcsfs = ["gcsfs"] @@ -6432,4 +6601,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "48ee72159d6ec314b7ddb528fc8cd33991118aabede8739dbd1cfb5614b0a23f" +content-hash = "dc354cf087d4f0d0aa2a91ca3e13e89f5970281a2c4d2e5dd2a8d8703a7390f2" From 1aebb50c73d126f20f069f2fef4eebb379e1792f Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Mon, 4 Aug 2025 15:15:41 -0700 Subject: [PATCH 5/8] PR comments --- pyiceberg/catalog/bigquery_metastore.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/pyiceberg/catalog/bigquery_metastore.py b/pyiceberg/catalog/bigquery_metastore.py index 546d16fae7..62b8fff638 100644 --- a/pyiceberg/catalog/bigquery_metastore.py +++ b/pyiceberg/catalog/bigquery_metastore.py @@ -43,10 +43,10 @@ if TYPE_CHECKING: import pyarrow as pa -GCP_PROJECT_ID = "gcp.project-id" -GCP_LOCATION = "gcp.location" -GCP_CREDENTIALS_LOCATION = "gcp.credentials-location" -GCP_CREDENTIALS_INFO = "gcp.credentials-info" +GCP_PROJECT_ID = "gcp.bigquery.project-id" +GCP_LOCATION = "gcp.bigquery.location" +GCP_CREDENTIALS_FILE = "gcp.bigquery.credential-file" +GCP_CREDENTIALS_INFO = "gcp.bigquery.credentials-info" METADATA_LOCATION_PROP = "metadata_location" PREVIOUS_METADATA_LOCATION_PROP = "previous_metadata_location" @@ -64,7 +64,7 @@ def __init__(self, name: str, **properties: str): project_id: Optional[str] = self.properties.get(GCP_PROJECT_ID) location: Optional[str] = self.properties.get(GCP_LOCATION) - credentials_location: Optional[str] = self.properties.get(GCP_CREDENTIALS_LOCATION) + credentials_file: Optional[str] = self.properties.get(GCP_CREDENTIALS_FILE) credentials_info_str: Optional[str] = self.properties.get(GCP_CREDENTIALS_INFO) if not project_id: @@ -74,9 +74,12 @@ def __init__(self, name: str, **properties: str): if not Config().get_bool("legacy-current-snapshot-id"): raise ValueError("legacy-current-snapshot-id must be enabled to work with BigQuery.") + if credentials_file and credentials_info_str: + raise ValueError("Cannot specify both `gcp.bigquery.credentials-file` and `gcp.bigquery.credentials-info`") + gcp_credentials = None - if credentials_location: - gcp_credentials = service_account.Credentials.from_service_account_file(credentials_location) + if credentials_file: + gcp_credentials = service_account.Credentials.from_service_account_file(credentials_file) elif credentials_info_str: try: credentials_info_dict = json.loads(credentials_info_str) From 262bb7c82cb7d3506b2258a857171bddde2d19c2 Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Tue, 5 Aug 2025 12:22:16 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{file = "pre_commit-4.2.0-py2.py3-none-any.whl", hash = "sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd"}, - {file = "pre_commit-4.2.0.tar.gz", hash = "sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146"}, + {file = "pre_commit-4.3.0-py2.py3-none-any.whl", hash = "sha256:2b0747ad7e6e967169136edffee14c16e148a778a54e4f967921aa1ebf2308d8"}, + {file = "pre_commit-4.3.0.tar.gz", hash = "sha256:499fe450cc9d42e9d58e606262795ecb64dd05438943c62b66f6a8673da30b16"}, ] [package.dependencies] @@ -4415,7 +4424,7 @@ description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"bigquery\" or extra == \"gcsfs\"" +markers = "extra == \"gcp-auth\" or extra == \"bigquery\" or extra == \"gcsfs\"" files = [ {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, @@ -4428,7 +4437,7 @@ description = "A collection of ASN.1-based protocols modules" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"bigquery\" or extra == \"gcsfs\"" +markers = "extra == \"gcp-auth\" or extra == \"bigquery\" or extra == \"gcsfs\"" files = [ {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"}, {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"}, @@ -5490,7 +5499,7 @@ description = "Pure-Python RSA implementation" optional = true python-versions = "<4,>=3.6" groups = ["main"] -markers = "extra == \"bigquery\" or extra == \"gcsfs\"" +markers = "extra == \"gcp-auth\" or extra == \"bigquery\" or extra == \"gcsfs\"" files = [ {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"}, {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"}, @@ -6581,6 +6590,7 @@ daft = ["daft"] datafusion = ["datafusion"] duckdb = ["duckdb", "pyarrow"] dynamodb = ["boto3"] +gcp-auth = ["google-auth"] gcsfs = ["gcsfs"] glue = ["boto3"] hf = ["huggingface-hub"] @@ -6601,4 +6611,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "dc354cf087d4f0d0aa2a91ca3e13e89f5970281a2c4d2e5dd2a8d8703a7390f2" +content-hash = "1e5c218c7b7fb1bbefaa1f838ffb6ad98e45cb00e4873f8829eaf396feeb6ac5" From 61eeedc0acd4f20a27105971cbdc14aab1a5f7cc Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Thu, 21 Aug 2025 12:53:43 -0700 Subject: [PATCH 7/8] test fix --- .../integration_test_bigquery_metastore.py | 35 ++++++++++++++++--- tests/catalog/test_bigquery_metastore.py | 10 +++--- 2 files changed, 35 insertions(+), 10 deletions(-) diff --git a/tests/catalog/integration_test_bigquery_metastore.py b/tests/catalog/integration_test_bigquery_metastore.py index 6f5f93be35..50e2429cb1 100644 --- a/tests/catalog/integration_test_bigquery_metastore.py +++ b/tests/catalog/integration_test_bigquery_metastore.py @@ -30,6 +30,7 @@ from tests.conftest import BQ_TABLE_METADATA_LOCATION_REGEX +@pytest.mark.skipif(os.environ.get("GCP_CREDENTIALS") is None) def test_create_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -38,7 +39,12 @@ def test_create_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) test_catalog = BigQueryMetastoreCatalog( - catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + catalog_name, + **{ + "gcp.bigquery.project-id": "alexstephen-test-1", + "warehouse": "gs://alexstephen-test-bq-bucket/", + "gcp.bigquery.credentials-info": os.environ["GCP_CREDENTIALS"], + }, ) test_catalog.create_namespace(namespace=gcp_dataset_name) table = test_catalog.create_table(identifier, table_schema_nested) @@ -49,6 +55,7 @@ def test_create_table_with_database_location( assert identifier in tables_in_namespace +@pytest.mark.skipif(os.environ.get("GCP_CREDENTIALS") is None) def test_drop_table_with_database_location( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -57,7 +64,12 @@ def test_drop_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) test_catalog = BigQueryMetastoreCatalog( - catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + catalog_name, + **{ + "gcp.bigquery.project-id": "alexstephen-test-1", + "warehouse": "gs://alexstephen-test-bq-bucket/", + "gcp.bigquery.credentials-info": os.environ["GCP_CREDENTIALS"], + }, ) test_catalog.create_namespace(namespace=gcp_dataset_name) test_catalog.create_table(identifier, table_schema_nested) @@ -74,6 +86,7 @@ def test_drop_table_with_database_location( assert True +@pytest.mark.skipif(os.environ.get("GCP_CREDENTIALS") is None) def test_create_and_drop_namespace( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -82,7 +95,12 @@ def test_create_and_drop_namespace( # Create namespace. catalog_name = "test_ddb_catalog" test_catalog = BigQueryMetastoreCatalog( - catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + catalog_name, + **{ + "gcp.bigquery.project-id": "alexstephen-test-1", + "warehouse": "gs://alexstephen-test-bq-bucket/", + "gcp.bigquery.credentials-info": os.environ["GCP_CREDENTIALS"], + }, ) test_catalog.create_namespace(namespace=gcp_dataset_name) @@ -100,6 +118,7 @@ def test_create_and_drop_namespace( test_catalog.load_namespace_properties(gcp_dataset_name) +@pytest.mark.skipif(os.environ.get("GCP_CREDENTIALS") is None) def test_register_table( mocker: MockFixture, _bucket_initialize: None, table_schema_nested: Schema, gcp_dataset_name: str, table_name: str ) -> None: @@ -108,9 +127,15 @@ def test_register_table( catalog_name = "test_bq_register_catalog" identifier = (gcp_dataset_name, table_name) warehouse_path = "gs://alexstephen-test-bq-bucket/" # Matches conftest BUCKET_NAME for GCS interaction - gcp_project_id = "alexstephen-test-1" - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": gcp_project_id, "warehouse": warehouse_path}) + test_catalog = BigQueryMetastoreCatalog( + catalog_name, + **{ + "gcp.bigquery.project-id": "alexstephen-test-1", + "warehouse": "gs://alexstephen-test-bq-bucket/", + "gcp.bigquery.credentials-info": os.environ["GCP_CREDENTIALS"], + }, + ) test_catalog.create_namespace(namespace=gcp_dataset_name) diff --git a/tests/catalog/test_bigquery_metastore.py b/tests/catalog/test_bigquery_metastore.py index 5260ffa145..70947660f4 100644 --- a/tests/catalog/test_bigquery_metastore.py +++ b/tests/catalog/test_bigquery_metastore.py @@ -64,7 +64,7 @@ def test_create_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) test_catalog = BigQueryMetastoreCatalog( - catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + catalog_name, **{"gcp.bigquery.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} ) test_catalog.create_namespace(namespace=gcp_dataset_name) table = test_catalog.create_table(identifier, table_schema_nested) @@ -89,7 +89,7 @@ def test_drop_table_with_database_location( catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) test_catalog = BigQueryMetastoreCatalog( - catalog_name, **{"gcp.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} + catalog_name, **{"gcp.bigquery.project-id": "alexstephen-test-1", "warehouse": "gs://alexstephen-test-bq-bucket/"} ) test_catalog.create_namespace(namespace=gcp_dataset_name) test_catalog.create_table(identifier, table_schema_nested) @@ -112,7 +112,7 @@ def test_drop_namespace(mocker: MockFixture, gcp_dataset_name: str) -> None: mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "alexstephen-test-1"}) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.bigquery.project-id": "alexstephen-test-1"}) test_catalog.drop_namespace(gcp_dataset_name) client_mock.delete_dataset.assert_called_once() @@ -147,7 +147,7 @@ def test_list_tables(mocker: MockFixture, gcp_dataset_name: str) -> None: mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "my-project"}) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.bigquery.project-id": "my-project"}) tables = test_catalog.list_tables(gcp_dataset_name) @@ -169,7 +169,7 @@ def test_list_namespaces(mocker: MockFixture) -> None: mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) catalog_name = "test_catalog" - test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.project-id": "my-project"}) + test_catalog = BigQueryMetastoreCatalog(catalog_name, **{"gcp.bigquery.project-id": "my-project"}) namespaces = test_catalog.list_namespaces() assert len(namespaces) == 2 From e01510bf657c59e919b35060e838301bf2341c17 Mon Sep 17 00:00:00 2001 From: Alex Stephen Date: Fri, 22 Aug 2025 12:43:09 -0700 Subject: [PATCH 8/8] test fixes --- tests/catalog/test_bigquery_metastore.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/catalog/test_bigquery_metastore.py b/tests/catalog/test_bigquery_metastore.py index 70947660f4..c8c7584262 100644 --- a/tests/catalog/test_bigquery_metastore.py +++ b/tests/catalog/test_bigquery_metastore.py @@ -60,6 +60,7 @@ def test_create_table_with_database_location( mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) mocker.patch("pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata", return_value=file_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + mocker.patch("pyiceberg.catalog.ToOutputFile.table_metadata", return_value=None) catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name) @@ -85,6 +86,7 @@ def test_drop_table_with_database_location( mocker.patch("pyiceberg.catalog.bigquery_metastore.Client", return_value=client_mock) mocker.patch("pyiceberg.catalog.bigquery_metastore.FromInputFile.table_metadata", return_value=file_mock) mocker.patch.dict(os.environ, values={"PYICEBERG_LEGACY_CURRENT_SNAPSHOT_ID": "True"}) + mocker.patch("pyiceberg.catalog.ToOutputFile.table_metadata", return_value=None) catalog_name = "test_ddb_catalog" identifier = (gcp_dataset_name, table_name)