mirror of
https://github.com/open-metadata/OpenMetadata.git
synced 2025-10-31 10:39:30 +00:00
f0049853ec
* Initial deltalake implementation for s3 * Fix styles * Fix test_amundsen * Fix UnitTests * Fix Checkstyle * Fix integration tests due to datalake client refactor * Fix unit tests * Fix tests * Fix Integration DeltaLake Storage test * Skip delta storage integration test for python 3.8 * DeltaLake JSONSchema changes migrations * Update import name * Add some comments based on sonarcloud suggestions * Update DeltaLake documentation * Resolve some comments
229 lines
8.6 KiB
Python
229 lines
8.6 KiB
Python
# Copyright 2021 Collate
|
|
# Licensed 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.
|
|
"""
|
|
Test Deltalake using the topology
|
|
|
|
Here we don't need to patch, as we can just create our own metastore
|
|
"""
|
|
import shutil
|
|
import sys
|
|
import unittest
|
|
from datetime import date, datetime
|
|
from unittest import TestCase
|
|
|
|
from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest
|
|
from metadata.generated.schema.api.data.createDatabaseSchema import (
|
|
CreateDatabaseSchemaRequest,
|
|
)
|
|
from metadata.generated.schema.api.data.createTable import CreateTableRequest
|
|
from metadata.generated.schema.entity.data.database import Database
|
|
from metadata.generated.schema.entity.data.databaseSchema import DatabaseSchema
|
|
from metadata.generated.schema.entity.data.table import Column, DataType, TableType
|
|
from metadata.generated.schema.entity.services.databaseService import (
|
|
DatabaseConnection,
|
|
DatabaseService,
|
|
DatabaseServiceType,
|
|
)
|
|
from metadata.generated.schema.metadataIngestion.workflow import (
|
|
OpenMetadataWorkflowConfig,
|
|
)
|
|
from metadata.generated.schema.type.basic import FullyQualifiedEntityName
|
|
from metadata.generated.schema.type.entityReference import EntityReference
|
|
from metadata.ingestion.ometa.ometa_api import OpenMetadata
|
|
from metadata.ingestion.source.database.deltalake.metadata import DeltalakeSource
|
|
|
|
METASTORE_PATH = "/tmp/spark/unit/metastore"
|
|
SPARK_SQL_WAREHOUSE = "/tmp/spark/unit/warehouse"
|
|
|
|
MOCK_DELTA_CONFIG = {
|
|
"source": {
|
|
"type": "deltalake",
|
|
"serviceName": "delta",
|
|
"serviceConnection": {
|
|
"config": {
|
|
"type": "DeltaLake",
|
|
"configSource": {
|
|
"connection": {
|
|
"metastoreFilePath": METASTORE_PATH,
|
|
}
|
|
},
|
|
"connectionArguments": {
|
|
"spark.sql.warehouse.dir": SPARK_SQL_WAREHOUSE,
|
|
},
|
|
}
|
|
},
|
|
"sourceConfig": {"config": {"type": "DatabaseMetadata"}},
|
|
},
|
|
"sink": {"type": "metadata-rest", "config": {}},
|
|
"workflowConfig": {
|
|
"openMetadataServerConfig": {
|
|
"hostPort": "http://localhost:8585/api",
|
|
"authProvider": "openmetadata",
|
|
"securityConfig": {
|
|
"jwtToken": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
|
|
},
|
|
}
|
|
},
|
|
}
|
|
|
|
MOCK_DATABASE_SERVICE = DatabaseService(
|
|
id="85811038-099a-11ed-861d-0242ac120002",
|
|
name="delta",
|
|
fullyQualifiedName="delta",
|
|
connection=DatabaseConnection(),
|
|
serviceType=DatabaseServiceType.DeltaLake,
|
|
)
|
|
|
|
MOCK_DATABASE = Database(
|
|
id="2004514B-A800-4D92-8442-14B2796F712E",
|
|
name="default",
|
|
fullyQualifiedName="delta.default",
|
|
service=EntityReference(
|
|
id="85811038-099a-11ed-861d-0242ac120002", type="databaseService"
|
|
),
|
|
)
|
|
|
|
MOCK_DATABASE_SCHEMA = DatabaseSchema(
|
|
id="92D36A9B-B1A9-4D0A-A00B-1B2ED137ABA5",
|
|
name="default",
|
|
fullyQualifiedName="delta.default.default",
|
|
database=EntityReference(
|
|
id="2004514B-A800-4D92-8442-14B2796F712E", type="database"
|
|
),
|
|
service=EntityReference(
|
|
id="85811038-099a-11ed-861d-0242ac120002", type="databaseService"
|
|
),
|
|
)
|
|
|
|
|
|
@unittest.skipUnless(
|
|
sys.version_info < (3, 11),
|
|
reason="https://github.com/open-metadata/OpenMetadata/issues/14408",
|
|
)
|
|
class DeltaLakeUnitTest(TestCase):
|
|
"""
|
|
Add method validations from Deltalake ingestion
|
|
"""
|
|
|
|
config: OpenMetadataWorkflowConfig = OpenMetadataWorkflowConfig.model_validate(
|
|
MOCK_DELTA_CONFIG
|
|
)
|
|
delta: DeltalakeSource = DeltalakeSource.create(
|
|
MOCK_DELTA_CONFIG["source"],
|
|
OpenMetadata(config.workflowConfig.openMetadataServerConfig),
|
|
)
|
|
spark = delta.client._spark
|
|
|
|
@classmethod
|
|
def setUpClass(cls) -> None:
|
|
"""
|
|
Prepare the SparkSession and metastore
|
|
"""
|
|
df = cls.spark.createDataFrame(
|
|
[
|
|
(1, 2.0, "string1", date(2000, 1, 1), datetime(2000, 1, 1, 12, 0)),
|
|
(2, 3.0, "string2", date(2000, 2, 1), datetime(2000, 1, 2, 12, 0)),
|
|
(3, 4.0, "string3", date(2000, 3, 1), datetime(2000, 1, 3, 12, 0)),
|
|
],
|
|
schema="a long, b double, c string, d date, e timestamp",
|
|
)
|
|
|
|
# Create the DF as a tmp view to be able to run Spark SQL statements on top
|
|
df.createOrReplaceTempView("tmp_df")
|
|
# If no db is specified, the table will be created under `default`
|
|
cls.spark.sql(
|
|
"CREATE TABLE IF NOT EXISTS my_df COMMENT 'testing around' AS SELECT * FROM tmp_df"
|
|
)
|
|
|
|
# Create a database. We will be ingesting that as a schema
|
|
cls.spark.sql(
|
|
f"CREATE DATABASE sample_db LOCATION '{SPARK_SQL_WAREHOUSE}/sample_db'"
|
|
)
|
|
|
|
# Set context
|
|
cls.delta.context.get().__dict__[
|
|
"database_service"
|
|
] = MOCK_DATABASE_SERVICE.name.root
|
|
cls.delta.context.get().__dict__["database"] = MOCK_DATABASE.name.root
|
|
cls.delta.context.get().__dict__[
|
|
"database_schema"
|
|
] = MOCK_DATABASE_SCHEMA.name.root
|
|
# We pick up the table comments when getting their name and type, so we
|
|
# store the description in the context
|
|
cls.delta.context.get().__dict__["table_description"] = "testing around"
|
|
|
|
@classmethod
|
|
def tearDownClass(cls) -> None:
|
|
"""
|
|
Clean up
|
|
"""
|
|
shutil.rmtree(METASTORE_PATH)
|
|
shutil.rmtree(SPARK_SQL_WAREHOUSE)
|
|
|
|
def test_get_database_names(self):
|
|
database_names = list(self.delta.get_database_names())
|
|
self.assertEqual(database_names, ["default"])
|
|
|
|
def test_yield_database(self):
|
|
database_request = next(
|
|
self.delta.yield_database(database_name="default")
|
|
).right
|
|
expected_database_request = CreateDatabaseRequest(
|
|
name="default",
|
|
service=FullyQualifiedEntityName("delta"),
|
|
)
|
|
|
|
self.assertEqual(database_request, expected_database_request)
|
|
|
|
def test_get_database_schema_names(self):
|
|
schema_names = set(self.delta.get_database_schema_names())
|
|
self.assertEqual(schema_names, {"default", "sample_db"})
|
|
|
|
def test_yield_database_schema(self):
|
|
schema_request = next(
|
|
self.delta.yield_database_schema(schema_name="default")
|
|
).right
|
|
expected_schema_request = CreateDatabaseSchemaRequest(
|
|
name="default", database="delta.default"
|
|
)
|
|
|
|
self.assertEqual(schema_request, expected_schema_request)
|
|
|
|
def test_get_tables_name_and_type(self):
|
|
table_names = list(self.delta.get_tables_name_and_type())
|
|
# We won't ingest TMP tables
|
|
self.assertEqual(table_names, [("my_df", TableType.Regular)])
|
|
|
|
def test_yield_table(self):
|
|
table_request = next(
|
|
self.delta.yield_table(table_name_and_type=("my_df", TableType.Regular))
|
|
).right
|
|
|
|
expected_columns = [
|
|
Column(name="a", dataType=DataType.BIGINT, dataTypeDisplay="bigint"),
|
|
Column(name="b", dataType=DataType.DOUBLE, dataTypeDisplay="double"),
|
|
Column(name="c", dataType=DataType.STRING, dataTypeDisplay="string"),
|
|
Column(name="d", dataType=DataType.DATE, dataTypeDisplay="date"),
|
|
Column(name="e", dataType=DataType.TIMESTAMP, dataTypeDisplay="timestamp"),
|
|
]
|
|
|
|
expected_table_request = CreateTableRequest(
|
|
name="my_df",
|
|
tableType=TableType.Regular,
|
|
description="testing around",
|
|
columns=expected_columns,
|
|
tableConstraints=None,
|
|
databaseSchema=MOCK_DATABASE_SCHEMA.fullyQualifiedName,
|
|
schemaDefinition=None,
|
|
)
|
|
|
|
self.assertEqual(table_request, expected_table_request)
|