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* MINOR - Update sampler tablenames * MINOR - Update sampler tablenames * MINOR - Update sampler tablenames
179 lines
6.3 KiB
Python
179 lines
6.3 KiB
Python
from unittest import TestCase
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from unittest.mock import patch
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from uuid import uuid4
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from sqlalchemy import Column, Integer
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from sqlalchemy.orm import declarative_base
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from sqlalchemy.sql.selectable import CTE
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from metadata.generated.schema.entity.data.table import Column as EntityColumn
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from metadata.generated.schema.entity.data.table import (
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ColumnName,
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DataType,
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PartitionIntervalTypes,
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PartitionProfilerConfig,
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ProfileSampleType,
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SamplingMethodType,
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Table,
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)
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from metadata.generated.schema.entity.services.connections.database.snowflakeConnection import (
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SnowflakeConnection,
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)
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from metadata.profiler.interface.sqlalchemy.profiler_interface import (
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SQAProfilerInterface,
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)
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from metadata.sampler.models import SampleConfig
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from metadata.sampler.sqlalchemy.sampler import SQASampler
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from metadata.sampler.sqlalchemy.snowflake.sampler import SnowflakeSampler
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Base = declarative_base()
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class User(Base):
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__tablename__ = "users"
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id = Column(Integer, primary_key=True)
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@patch.object(SQASampler, "build_table_orm", return_value=User)
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class SampleTest(TestCase):
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@classmethod
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@patch.object(SQASampler, "build_table_orm", return_value=User)
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def setUpClass(cls, sampler_mock):
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cls.table_entity = Table(
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id=uuid4(),
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name="user",
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columns=[
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EntityColumn(
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name=ColumnName("id"),
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dataType=DataType.INT,
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),
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],
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)
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cls.snowflake_conn = SnowflakeConnection(
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username="myuser", account="myaccount", warehouse="mywarehouse"
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)
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sampler = SQASampler(
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service_connection_config=cls.snowflake_conn,
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ometa_client=None,
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entity=None,
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)
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cls.sqa_profiler_interface = SQAProfilerInterface(
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cls.snowflake_conn,
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None,
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cls.table_entity,
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None,
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sampler,
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5,
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43200,
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)
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cls.session = cls.sqa_profiler_interface.session
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def test_omit_sampling_method_type(self, sampler_mock):
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"""
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use BERNOULLI if sampling method type is not specified.
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"""
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sampler = SnowflakeSampler(
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service_connection_config=self.snowflake_conn,
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ometa_client=None,
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entity=self.table_entity,
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sample_config=SampleConfig(
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profileSampleType=ProfileSampleType.PERCENTAGE, profileSample=50.0
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),
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)
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query: CTE = sampler.get_sample_query()
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expected_query = (
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'WITH "9bc65c2abec141778ffaa729489f3e87_rnd" AS \n(SELECT users_1.id AS id \n'
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"FROM users AS users_1 TABLESAMPLE bernoulli(50.0))\n "
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'SELECT "9bc65c2abec141778ffaa729489f3e87_rnd".id \nFROM "9bc65c2abec141778ffaa729489f3e87_rnd"'
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)
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assert (
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expected_query.casefold()
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== str(query.compile(compile_kwargs={"literal_binds": True})).casefold()
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)
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def test_specify_sampling_method_type(self, sampler_mock):
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"""
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use specified sampling method type.
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"""
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for sampling_method_type in [
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SamplingMethodType.SYSTEM,
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SamplingMethodType.BERNOULLI,
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]:
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sampler = SnowflakeSampler(
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service_connection_config=self.snowflake_conn,
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ometa_client=None,
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entity=self.table_entity,
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sample_config=SampleConfig(
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profileSampleType=ProfileSampleType.PERCENTAGE,
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profileSample=50.0,
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samplingMethodType=sampling_method_type,
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),
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)
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query: CTE = sampler.get_sample_query()
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expected_query = (
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'WITH "9bc65c2abec141778ffaa729489f3e87_rnd" AS \n(SELECT users_1.id AS id \n'
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f"FROM users AS users_1 TABLESAMPLE {sampling_method_type.value}(50.0))\n "
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'SELECT "9bc65c2abec141778ffaa729489f3e87_rnd".id \nFROM "9bc65c2abec141778ffaa729489f3e87_rnd"'
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)
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assert (
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expected_query.casefold()
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== str(query.compile(compile_kwargs={"literal_binds": True})).casefold()
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)
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def test_row_sampling(self, sampler_mock):
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"""
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use ROW sampling if profile sample type is ROW.
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"""
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sampler = SnowflakeSampler(
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service_connection_config=self.snowflake_conn,
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ometa_client=None,
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entity=self.table_entity,
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sample_config=SampleConfig(
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profileSampleType=ProfileSampleType.ROWS, profileSample=50
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),
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)
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query: CTE = sampler.get_sample_query()
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expected_query = (
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'WITH "9bc65c2abec141778ffaa729489f3e87_rnd" AS \n(SELECT users_1.id AS id '
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"\nFROM users AS users_1 TABLESAMPLE ROW(50 ROWS))\n "
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'SELECT "9bc65c2abec141778ffaa729489f3e87_rnd".id \nFROM "9bc65c2abec141778ffaa729489f3e87_rnd"'
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)
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assert (
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expected_query.casefold()
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== str(query.compile(compile_kwargs={"literal_binds": True})).casefold()
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)
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def test_sampling_with_partition(self, sampler_mock):
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"""
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use specified partition columns.
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"""
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sampler = SnowflakeSampler(
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service_connection_config=self.snowflake_conn,
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ometa_client=None,
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entity=self.table_entity,
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sample_config=SampleConfig(
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profileSampleType=ProfileSampleType.PERCENTAGE,
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profileSample=50.0,
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),
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partition_details=PartitionProfilerConfig(
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enablePartitioning=True,
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partitionColumnName="id",
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partitionIntervalType=PartitionIntervalTypes.COLUMN_VALUE,
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partitionValues=["1", "2"],
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),
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)
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query: CTE = sampler.get_sample_query()
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expected_query = (
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'WITH "9bc65c2abec141778ffaa729489f3e87_rnd" AS \n(SELECT users_1.id AS id \n'
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"FROM users AS users_1 TABLESAMPLE bernoulli(50.0) "
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"\nWHERE id IN ('1', '2'))\n SELECT \"9bc65c2abec141778ffaa729489f3e87_rnd\".id "
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'\nFROM "9bc65c2abec141778ffaa729489f3e87_rnd"'
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)
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assert (
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expected_query.casefold()
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== str(query.compile(compile_kwargs={"literal_binds": True})).casefold()
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)
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