def test_sql_statement(self) -> None:
"""
Test Extraction with empty result from query
"""
with patch.object(SQLAlchemyExtractor, '_get_connection'):
extractor = AthenaMetadataExtractor()
extractor.init(self.conf)
self.assertTrue(self.where_clause_suffix in extractor.sql_stmt)
def test_extraction_with_empty_query_result(self) -> None:
"""
Test Extraction with empty result from query
"""
with patch.object(SQLAlchemyExtractor, '_get_connection'):
extractor = AthenaMetadataExtractor()
extractor.init(self.conf)
results = extractor.extract()
self.assertEqual(results, None)
def _create_athena_extractor(
source: CatSource, ) -> Tuple[AthenaMetadataExtractor, Any]:
extractor = AthenaMetadataExtractor()
scope = extractor.get_scope()
conn_string_key = f"{scope}.{SQLAlchemyExtractor().get_scope()}.{SQLAlchemyExtractor.CONN_STRING}"
conf = ConfigFactory.from_dict({
conn_string_key:
source.conn_string,
f"{scope}.{AthenaMetadataExtractor.CATALOG_KEY}":
"'{}'".format(source.name),
})
return extractor, conf
def create_table_extract_job():
where_clause_suffix = f"where table_schema in {SUPPORTED_SCHEMA_SQL_IN_CLAUSE}"
tmp_folder = '/var/tmp/amundsen/table_metadata'
node_files_folder = f'{tmp_folder}/nodes/'
relationship_files_folder = f'{tmp_folder}/relationships/'
job_config = ConfigFactory.from_dict({
f'extractor.athena_metadata.{AthenaMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY}': where_clause_suffix,
f'extractor.athena_metadata.extractor.sqlalchemy.{SQLAlchemyExtractor.CONN_STRING}': connection_string(),
f'extractor.athena_metadata.{AthenaMetadataExtractor.CATALOG_KEY}': "'AwsDataCatalog'",
f'loader.filesystem_csv_neo4j.{FsNeo4jCSVLoader.NODE_DIR_PATH}': node_files_folder,
f'loader.filesystem_csv_neo4j.{FsNeo4jCSVLoader.RELATION_DIR_PATH}': relationship_files_folder,
f'publisher.neo4j.{neo4j_csv_publisher.NODE_FILES_DIR}': node_files_folder,
f'publisher.neo4j.{neo4j_csv_publisher.RELATION_FILES_DIR}': relationship_files_folder,
f'publisher.neo4j.{neo4j_csv_publisher.NEO4J_END_POINT_KEY}': neo4j_endpoint,
f'publisher.neo4j.{neo4j_csv_publisher.NEO4J_USER}': neo4j_user,
f'publisher.neo4j.{neo4j_csv_publisher.NEO4J_PASSWORD}': neo4j_password,
f'publisher.neo4j.{neo4j_csv_publisher.JOB_PUBLISH_TAG}': 'unique_tag', # should use unique tag here like {ds}
})
job = DefaultJob(conf=job_config,
task=DefaultTask(extractor=AthenaMetadataExtractor(), loader=FsNeo4jCSVLoader(),
transformer=NoopTransformer()),
publisher=Neo4jCsvPublisher())
return job
def create_table_extract_job():
where_clause_suffix = textwrap.dedent("""
where table_schema in {schemas}
""").format(schemas=SUPPORTED_SCHEMA_SQL_IN_CLAUSE)
tmp_folder = '/var/tmp/amundsen/table_metadata'
node_files_folder = '{tmp_folder}/nodes/'.format(tmp_folder=tmp_folder)
relationship_files_folder = '{tmp_folder}/relationships/'.format(
tmp_folder=tmp_folder)
job_config = ConfigFactory.from_dict({
'extractor.athena_metadata.{}'.format(AthenaMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY):
where_clause_suffix,
'extractor.athena_metadata.extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.CONN_STRING):
connection_string(),
'extractor.athena_metadata.{}'.format(AthenaMetadataExtractor.CATALOG_KEY):
"'AwsDataCatalog'",
'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.NODE_DIR_PATH):
node_files_folder,
'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.RELATION_DIR_PATH):
relationship_files_folder,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.NODE_FILES_DIR):
node_files_folder,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.RELATION_FILES_DIR):
relationship_files_folder,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_END_POINT_KEY):
neo4j_endpoint,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_USER):
neo4j_user,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_PASSWORD):
neo4j_password,
'publisher.neo4j.{}'.format(neo4j_csv_publisher.JOB_PUBLISH_TAG):
'unique_tag', # should use unique tag here like {ds}
})
job = DefaultJob(conf=job_config,
task=DefaultTask(extractor=AthenaMetadataExtractor(),
loader=FsNeo4jCSVLoader(),
transformer=NoopTransformer()),
publisher=Neo4jCsvPublisher())
job.launch()
def test_extraction_with_single_result(self):
# type: () -> None
with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection:
connection = MagicMock()
mock_connection.return_value = connection
sql_execute = MagicMock()
connection.execute = sql_execute
table = {'schema_name': 'test_schema',
'name': 'test_table',
'description': '',
'cluster': self.conf['extractor.athena_metadata.{}'.format(AthenaMetadataExtractor.CATALOG_KEY)],
}
sql_execute.return_value = [
self._union(
{'col_name': 'col_id1',
'col_type': 'bigint',
'col_description': 'description of id1',
'col_sort_order': 0,
'extras': None}, table),
self._union(
{'col_name': 'col_id2',
'col_type': 'bigint',
'col_description': 'description of id2',
'col_sort_order': 1,
'extras': None}, table),
self._union(
{'col_name': 'is_active',
'col_type': 'boolean',
'col_description': None,
'col_sort_order': 2,
'extras': None}, table),
self._union(
{'col_name': 'source',
'col_type': 'varchar',
'col_description': 'description of source',
'col_sort_order': 3,
'extras': None}, table),
self._union(
{'col_name': 'etl_created_at',
'col_type': 'timestamp',
'col_description': None,
'col_sort_order': 4,
'extras': 'partition key'}, table),
self._union(
{'col_name': 'ds',
'col_type': 'varchar',
'col_description': None,
'col_sort_order': 5,
'extras': None}, table)
]
extractor = AthenaMetadataExtractor()
extractor.init(self.conf)
actual = extractor.extract()
expected = TableMetadata('athena', self.conf['extractor.athena_metadata.{}'.
format(AthenaMetadataExtractor.CATALOG_KEY)], 'test_schema', 'test_table', '',
[ColumnMetadata('col_id1', 'description of id1', 'bigint', 0),
ColumnMetadata('col_id2', 'description of id2', 'bigint', 1),
ColumnMetadata('is_active', None, 'boolean', 2),
ColumnMetadata('source', 'description of source', 'varchar', 3),
ColumnMetadata('etl_created_at', 'partition key', 'timestamp', 4),
ColumnMetadata('ds', None, 'varchar', 5)])
self.assertEqual(expected.__repr__(), actual.__repr__())
self.assertIsNone(extractor.extract())