OpenMetadata/ingestion/tests/cli_e2e/test_cli_hive.py
Teddy 9a4a9df836
Fix #14895 - Get Metadata from Parquet Schema (#14956)
* linting: fix python linting

* fix: get column types from parquet schema for parquet files

* style: python linting

* fix: remove displayType check in test as variation depending on OS
2024-02-01 09:02:52 +01:00

208 lines
6.3 KiB
Python

# Copyright 2022 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.
"""
Hive E2E tests
"""
from typing import List
from .common.test_cli_db import CliCommonDB
from .common_e2e_sqa_mixins import SQACommonMethods
class HiveCliTest(CliCommonDB.TestSuite, SQACommonMethods):
prepare_e2e: List[str] = [
"DROP DATABASE IF EXISTS e2e_cli_tests CASCADE",
"CREATE DATABASE e2e_cli_tests",
"""
CREATE TABLE IF NOT EXISTS e2e_cli_tests.persons_profile (
person_id int,
full_name varchar(255),
birthdate date
)
""",
"""
INSERT INTO e2e_cli_tests.persons_profile (person_id, full_name, birthdate) VALUES
(1,'Peter Parker', '2004-08-10'),
(2,'Bruce Banner', '1988-12-18'),
(3,'Steve Rogers', '1988-07-04'),
(4,'Natasha Romanoff', '1997-12-03'),
(5,'Wanda Maximoff', '1998-02-10'),
(6,'Diana Prince', '1976-03-17')
""",
]
create_table_query: str = """
CREATE TABLE IF NOT EXISTS e2e_cli_tests.persons (
person_id int,
full_name varchar(255),
birthdate date
)
"""
create_view_query: str = """
CREATE OR REPLACE VIEW e2e_cli_tests.view_persons AS
SELECT *
FROM e2e_cli_tests.persons
"""
insert_data_queries: List[str] = [
"""
INSERT INTO e2e_cli_tests.persons (person_id, full_name, birthdate) VALUES
(1,'Peter Parker', '2004-08-10'),
(2,'Bruce Banner', '1988-12-18'),
(3,'Steve Rogers', '1988-07-04'),
(4,'Natasha Romanoff', '1997-12-03'),
(5,'Wanda Maximoff', '1998-02-10'),
(6,'Diana Prince', '1976-03-17')
"""
]
drop_table_query: str = """
DROP TABLE IF EXISTS e2e_cli_tests.persons
"""
drop_view_query: str = """
DROP VIEW IF EXISTS e2e_cli_tests.view_persons
"""
def setUp(self) -> None:
with self.engine.connect() as connection:
for sql_statements in self.prepare_e2e:
connection.execute(sql_statements)
self.create_table_and_view()
def tearDown(self) -> None:
self.delete_table_and_view()
def create_table_and_view(self) -> None:
SQACommonMethods.create_table_and_view(self)
def delete_table_and_view(self) -> None:
SQACommonMethods.delete_table_and_view(self)
@staticmethod
def get_connector_name() -> str:
return "hive"
@staticmethod
def expected_tables() -> int:
return 3
def inserted_rows_count(self) -> int:
# For the persons table
return 6
def view_column_lineage_count(self) -> int:
"""view was created from `CREATE VIEW xyz AS (SELECT * FROM abc)`
which does not propagate column lineage
"""
return None
@staticmethod
def fqn_created_table() -> str:
return "e2e_hive.default.e2e_cli_tests.persons_profile"
@staticmethod
def _fqn_deleted_table() -> str:
return "e2e_hive.default.e2e_cli_tests.view_persons"
@staticmethod
def get_profiler_time_partition() -> dict:
return {
"fullyQualifiedName": "e2e_hive.default.e2e_cli_tests.persons_profile",
"partitionConfig": {
"enablePartitioning": True,
"partitionColumnName": "birthdate",
"partitionIntervalType": "TIME-UNIT",
"partitionInterval": 50,
"partitionIntervalUnit": "YEAR",
},
}
@staticmethod
def get_includes_schemas() -> List[str]:
return ["e2e_cli_tests"]
@staticmethod
def get_includes_tables() -> List[str]:
return ["persons"]
@staticmethod
def get_excludes_tables() -> List[str]:
return ["my_table"]
@staticmethod
def expected_filtered_schema_includes() -> int:
return 1
@staticmethod
def expected_filtered_schema_excludes() -> int:
return 1
@staticmethod
def expected_filtered_table_includes() -> int:
return 1
@staticmethod
def expected_filtered_table_excludes() -> int:
return 2
@staticmethod
def expected_filtered_mix() -> int:
return 2
@staticmethod
def get_profiler_time_partition_results() -> dict:
return {
"table_profile": {
"columnCount": 3.0,
"rowCount": 6.0,
},
"column_profile": [
{
"person_id": {
"valuesCount": 6,
"valuesPercentage": None,
"validCount": None,
"duplicateCount": None,
"nullCount": 0,
"nullProportion": 0,
"missingPercentage": None,
"missingCount": None,
"uniqueCount": 6,
"uniqueProportion": 1,
"distinctCount": 6,
"distinctProportion": 1,
"min": 1,
"max": 6,
"minLength": None,
"maxLength": None,
"mean": 3.5,
"sum": 21,
"stddev": 1.707825127659933,
"variance": None,
"median": 3.5,
"firstQuartile": 2.25,
"thirdQuartile": 4.75,
"interQuartileRange": 2.5,
"nonParametricSkew": 0,
"histogram": {
"boundaries": ["1.00 to 3.75", "3.75 and up"],
"frequencies": [3, 3],
},
}
}
],
}