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chore: import upstream snapshot with attribution
2026-07-13 13:35:45 +08:00

125 行
4.3 KiB
Python

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# 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.
"""
Sampler-level integration tests for Trino dynamic sampling.
Tests _get_asset_row_count via SHOW STATS and dynamic sampling resolution.
Requires Trino multi-container stack (Trino + Hive MetaStore + MinIO + MySQL).
"""
from copy import deepcopy
from metadata.generated.schema.type.basic import ProfileSampleType
from metadata.ingestion.lineage.sql_lineage import search_cache
from metadata.workflow.metadata import MetadataWorkflow
from metadata.workflow.profiler import ProfilerWorkflow
def test_profiler_static_sampling(
patch_passwords_for_db_services,
run_workflow,
ingestion_config,
profiler_config,
create_test_data,
db_service,
metadata,
):
"""Static 50% sampling via TABLESAMPLE should produce a valid profile."""
search_cache.clear()
run_workflow(MetadataWorkflow, ingestion_config)
config = deepcopy(profiler_config)
config["source"]["sourceConfig"]["config"]["profileSampleConfig"] = {
"sampleConfigType": "STATIC",
"config": {
"profileSample": 50,
"profileSampleType": "PERCENTAGE",
},
}
run_workflow(ProfilerWorkflow, config)
# titanic table has 891 rows
fqn = f"{db_service.fullyQualifiedName.root}.minio.my_schema.titanic"
table = metadata.get_latest_table_profile(fqn)
assert table.profile is not None
assert table.profile.rowCount is not None
assert table.profile.profileSample == 50.0
assert table.profile.profileSampleType.root == ProfileSampleType.PERCENTAGE
def test_profiler_dynamic_smart_sampling(
patch_passwords_for_db_services,
run_workflow,
ingestion_config,
profiler_config,
create_test_data,
db_service,
metadata,
):
"""Dynamic smart sampling: titanic has 891 rows → <=100K tier → 100%."""
search_cache.clear()
run_workflow(MetadataWorkflow, ingestion_config)
config = deepcopy(profiler_config)
config["source"]["sourceConfig"]["config"]["profileSampleConfig"] = {
"sampleConfigType": "DYNAMIC",
"config": {
"smartSampling": True,
},
}
run_workflow(ProfilerWorkflow, config)
fqn = f"{db_service.fullyQualifiedName.root}.minio.my_schema.titanic"
table = metadata.get_latest_table_profile(fqn)
assert table.profile is not None
assert table.profile.rowCount is not None
# 891 rows → <=100K tier → 100% (no sampling)
assert table.profile.profileSample == 100.0
assert table.profile.profileSampleType.root == ProfileSampleType.PERCENTAGE
def test_profiler_dynamic_threshold_sampling(
patch_passwords_for_db_services,
run_workflow,
ingestion_config,
profiler_config,
create_test_data,
db_service,
metadata,
):
"""Dynamic threshold: threshold at 100 rows → 25%. Titanic has 891 rows, should match."""
search_cache.clear()
run_workflow(MetadataWorkflow, ingestion_config)
config = deepcopy(profiler_config)
config["source"]["sourceConfig"]["config"]["profileSampleConfig"] = {
"sampleConfigType": "DYNAMIC",
"config": {
"smartSampling": False,
"thresholds": [
{
"rowCountThreshold": 100,
"profileSample": 25,
"profileSampleType": "PERCENTAGE",
},
],
},
}
run_workflow(ProfilerWorkflow, config)
fqn = f"{db_service.fullyQualifiedName.root}.minio.my_schema.titanic"
table = metadata.get_latest_table_profile(fqn)
assert table.profile is not None
assert table.profile.rowCount is not None
# 891 rows >= threshold 100 → 25%
assert table.profile.profileSample == 25.0
assert table.profile.profileSampleType.root == ProfileSampleType.PERCENTAGE