IceS2 e7c9d6aa7f
FIXES 15215: Implement initial Multithreading approach for the Metadata Ingestion on Databases (#15130)
* Implement Initial MultiThread suggestion

* Update all the ingestion sources to use the new ContextManager

* Fix missing wraps on decorator

* Fix Unittests

* Fix linters

* Fix linters

* Fix BigQuery UnitTests

* Add UnitTests to the newly created code

* Fix unittest

* change the threads from table to schemas

* Update README.md

* Small change suggested by Sonar

* Slight change to test a different way to multithread over tables

* Debug changes

* More multithread tests

* Remove uneeded wait time

* Testing

* refactor code based on removal of time.sleep

* Fix wrong paste

* Improve ExecutionTimeContextManager

* Fix missing .get() and unit tests

* Fix conflicting changes

* Update Multithread logic with the incremental extraction

* Fix linters

* Fix unittest

* Remove commented code

* Fix Unittests

* Fix checkstyle

* Change default to threads = 1
2024-03-25 18:20:40 +01:00

330 lines
11 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 Postgres using the topology
"""
import types
from unittest import TestCase
from unittest.mock import patch
from sqlalchemy.types import VARCHAR
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, Constraint, DataType
from metadata.generated.schema.entity.services.databaseService import (
DatabaseConnection,
DatabaseService,
DatabaseServiceType,
)
from metadata.generated.schema.metadataIngestion.workflow import (
OpenMetadataWorkflowConfig,
)
from metadata.generated.schema.type.entityReference import EntityReference
from metadata.ingestion.source.database.postgres.metadata import (
GEOMETRY,
POINT,
POLYGON,
PostgresSource,
)
from metadata.ingestion.source.database.postgres.usage import PostgresUsageSource
from metadata.ingestion.source.database.postgres.utils import get_postgres_version
mock_postgres_config = {
"source": {
"type": "postgres",
"serviceName": "local_postgres1",
"serviceConnection": {
"config": {
"type": "Postgres",
"username": "username",
"authType": {
"password": "password",
},
"hostPort": "localhost:5432",
"database": "postgres",
}
},
"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_postgres_usage_config = {
"source": {
"type": "postgres-usage",
"serviceName": "local_postgres1",
"serviceConnection": {
"config": {
"type": "Postgres",
"username": "username",
"authType": {
"password": "password",
},
"hostPort": "localhost:5432",
"database": "postgres",
}
},
"sourceConfig": {
"config": {
"type": "DatabaseUsage",
"queryLogDuration": 1,
}
},
},
"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="postgres_source",
connection=DatabaseConnection(),
serviceType=DatabaseServiceType.Postgres,
)
MOCK_DATABASE = Database(
id="2aaa012e-099a-11ed-861d-0242ac120002",
name="118146679784",
fullyQualifiedName="postgres_source.default",
displayName="118146679784",
description="",
service=EntityReference(
id="85811038-099a-11ed-861d-0242ac120002",
type="databaseService",
),
)
MOCK_DATABASE_SCHEMA = DatabaseSchema(
id="2aaa012e-099a-11ed-861d-0242ac120056",
name="default",
fullyQualifiedName="postgres_source.118146679784.default",
displayName="default",
description="",
database=EntityReference(
id="2aaa012e-099a-11ed-861d-0242ac120002",
type="database",
),
service=EntityReference(
id="2aaa012e-099a-11ed-861d-0242ac120002",
type="database",
),
)
MOCK_COLUMN_VALUE = [
{
"name": "username",
"type": VARCHAR(),
"nullable": True,
"default": None,
"autoincrement": False,
"system_data_type": "varchar(50)",
"comment": None,
},
{
"name": "geom_c",
"type": GEOMETRY(),
"nullable": True,
"default": None,
"autoincrement": False,
"system_data_type": "geometry",
"comment": None,
},
{
"name": "point_c",
"type": POINT(),
"nullable": True,
"default": None,
"autoincrement": False,
"system_data_type": "point",
"comment": None,
},
{
"name": "polygon_c",
"type": POLYGON(),
"nullable": True,
"default": None,
"autoincrement": False,
"comment": None,
"system_data_type": "polygon",
},
]
EXPECTED_COLUMN_VALUE = [
Column(
name="username",
displayName=None,
dataType=DataType.VARCHAR,
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="varchar(50)",
description=None,
fullyQualifiedName=None,
tags=None,
constraint=Constraint.NULL,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="geom_c",
displayName=None,
dataType=DataType.GEOMETRY,
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="geometry",
description=None,
fullyQualifiedName=None,
tags=None,
constraint=Constraint.NULL,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="point_c",
displayName=None,
dataType=DataType.GEOMETRY,
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="point",
description=None,
fullyQualifiedName=None,
tags=None,
constraint=Constraint.NULL,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="polygon_c",
displayName=None,
dataType=DataType.GEOMETRY,
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="polygon",
description=None,
fullyQualifiedName=None,
tags=None,
constraint=Constraint.NULL,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
]
class PostgresUnitTest(TestCase):
@patch(
"metadata.ingestion.source.database.common_db_source.CommonDbSourceService.test_connection"
)
def __init__(self, methodName, test_connection) -> None:
super().__init__(methodName)
test_connection.return_value = False
self.config = OpenMetadataWorkflowConfig.parse_obj(mock_postgres_config)
self.postgres_source = PostgresSource.create(
mock_postgres_config["source"],
self.config.workflowConfig.openMetadataServerConfig,
)
self.postgres_source.context.get().__dict__[
"database_service"
] = MOCK_DATABASE_SERVICE.name.__root__
self.postgres_source.context.get().__dict__[
"database"
] = MOCK_DATABASE.name.__root__
self.postgres_source.context.get().__dict__[
"database_schema"
] = MOCK_DATABASE_SCHEMA.name.__root__
self.usage_config = OpenMetadataWorkflowConfig.parse_obj(
mock_postgres_usage_config
)
self.postgres_usage_source = PostgresUsageSource.create(
mock_postgres_usage_config["source"],
self.usage_config.workflowConfig.openMetadataServerConfig,
)
def test_datatype(self):
inspector = types.SimpleNamespace()
inspector.get_columns = (
lambda table_name, schema_name, db_name: MOCK_COLUMN_VALUE
)
inspector.get_pk_constraint = lambda table_name, schema_name: []
inspector.get_unique_constraints = lambda table_name, schema_name: []
inspector.get_foreign_keys = lambda table_name, schema_name: []
result, _, _ = self.postgres_source.get_columns_and_constraints(
"public", "user", "postgres", inspector
)
for i, _ in enumerate(EXPECTED_COLUMN_VALUE):
self.assertEqual(result[i], EXPECTED_COLUMN_VALUE[i])
@patch("sqlalchemy.engine.base.Engine")
def test_get_version_info(self, engine):
engine.execute.return_value = [["15.3 (Debian 15.3-1.pgdg110+1)"]]
self.assertEqual("15.3", get_postgres_version(engine))
engine.execute.return_value = [["11.16"]]
self.assertEqual("11.16", get_postgres_version(engine))
engine.execute.return_value = [["9.6.24"]]
self.assertEqual("9.6.24", get_postgres_version(engine))
engine.execute.return_value = [[]]
self.assertIsNone(get_postgres_version(engine))