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103 lines
2.8 KiB
Python
103 lines
2.8 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Query parser utils tests
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"""
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import csv
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import json
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from datetime import datetime
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from unittest import TestCase
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from metadata.ingestion.api.workflow import Workflow
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from metadata.ingestion.models.table_queries import TableQuery
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from metadata.ingestion.processor.query_parser import QueryParserProcessor
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config = """
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{
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"source": {
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"type": "sample-usage",
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"config": {
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"database": "warehouse",
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"service_name": "bigquery_gcp",
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"sample_data_folder": "ingestion/tests/unit/resources"
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}
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},
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"processor": {
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"type": "query-parser",
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"config": {
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"filter": ""
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}
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},
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"stage": {
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"type": "table-usage",
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"config": {
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"filename": "/tmp/sample_usage"
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}
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},
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"bulk_sink": {
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"type": "metadata-usage",
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"config": {
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"filename": "/tmp/sample_usage"
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}
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},
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"metadata_server": {
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"type": "metadata-server",
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"config": {
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"api_endpoint": "http://localhost:8585/api",
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"auth_provider_type": "no-auth"
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}
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}
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}
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"""
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class QueryParserTest(TestCase):
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def test_join_count(self):
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"""
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Check the join count
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"""
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expected_result = {
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"dim_address": 100,
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"dim_shop": 196,
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"dim_customer": 140,
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"dim_location": 75,
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"dim_location.shop_id": 25,
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"dim_shop.shop_id": 105,
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"dim_product": 130,
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"dim_product.shop_id": 80,
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"dim_product_variant": 35,
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"dim_staff": 75,
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"fact_line_item": 100,
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"fact_order": 185,
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"dim_api_client": 85,
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"fact_sale": 400,
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"customer": 4,
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"orders": 2,
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"products": 2,
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"orderdetails": 2,
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"country": 1,
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"city": 1,
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"call": 1,
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"countries": 1,
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}
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workflow = Workflow.create(json.loads(config))
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workflow.execute()
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for table_name, expected_count in expected_result.items():
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try:
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self.assertEqual(
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workflow.stage.table_usage[table_name].count, expected_count
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)
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except KeyError as err:
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self.assertTrue(False)
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workflow.stop()
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