def create_last_updated_job():
# loader saves data to these folders and publisher reads it from here
tmp_folder = '/var/tmp/amundsen/last_updated_data'
node_files_folder = '{tmp_folder}/nodes'.format(tmp_folder=tmp_folder)
relationship_files_folder = '{tmp_folder}/relationships'.format(
tmp_folder=tmp_folder)
task = DefaultTask(extractor=Neo4jEsLastUpdatedExtractor(),
loader=FsNeo4jCSVLoader())
job_config = ConfigFactory.from_dict({
'extractor.neo4j_es_last_updated.model_class':
'databuilder.models.neo4j_es_last_updated.Neo4jESLastUpdated',
'loader.filesystem_csv_neo4j.node_dir_path':
node_files_folder,
'loader.filesystem_csv_neo4j.relationship_dir_path':
relationship_files_folder,
'publisher.neo4j.node_files_directory':
node_files_folder,
'publisher.neo4j.relation_files_directory':
relationship_files_folder,
'publisher.neo4j.neo4j_endpoint':
neo4j_endpoint,
'publisher.neo4j.neo4j_user':
neo4j_user,
'publisher.neo4j.neo4j_password':
neo4j_password,
'publisher.neo4j.neo4j_encrypted':
False,
'publisher.neo4j.job_publish_tag':
'unique_lastupdated_tag', # should use unique tag here like {ds}
})
return DefaultJob(conf=job_config,
task=task,
publisher=Neo4jCsvPublisher())
def create_bq_job(metadata_type, gcloud_project):
tmp_folder = f'/var/tmp/amundsen/{metadata_type}'
node_files_folder = f'{tmp_folder}/nodes'
relationship_files_folder = f'{tmp_folder}/relationships'
bq_meta_extractor = BigQueryMetadataExtractor()
csv_loader = FsNeo4jCSVLoader()
task = DefaultTask(extractor=bq_meta_extractor,
loader=csv_loader,
transformer=NoopTransformer())
job_config = ConfigFactory.from_dict({
f'extractor.bigquery_table_metadata.{BigQueryMetadataExtractor.PROJECT_ID_KEY}':
gcloud_project,
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'loader.filesystem_csv_neo4j.{FsNeo4jCSVLoader.SHOULD_DELETE_CREATED_DIR}':
True,
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=task, publisher=Neo4jCsvPublisher())
return job
def create_glue_extractor_job():
tmp_folder = '/var/tmp/amundsen/table_metadata'
node_files_folder = Path(tmp_folder, 'nodes')
relationship_files_folder = Path(tmp_folder, 'relationships')
job_config = ConfigFactory.from_dict({
f'extractor.glue.{GlueExtractor.CLUSTER_KEY}': GLUE_CLUSTER_KEY,
f'extractor.glue.{GlueExtractor.FILTER_KEY}': [],
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_USERNAME,
f'publisher.neo4j.{neo4j_csv_publisher.NEO4J_PASSWORD}': NEO4j_PASSWORD,
f'publisher.neo4j.{neo4j_csv_publisher.JOB_PUBLISH_TAG}': str(int(datetime.utcnow().timestamp()))
})
return DefaultJob(conf=job_config,
task=DefaultTask(
extractor=GlueExtractor(),
loader=FsNeo4jCSVLoader(),
transformer=NoopTransformer()),
publisher=Neo4jCsvPublisher())
def run_table_column_job(table_path, column_path):
tmp_folder = '/var/tmp/amundsen/table_column'
node_files_folder = '{tmp_folder}/nodes'.format(tmp_folder=tmp_folder)
relationship_files_folder = '{tmp_folder}/relationships'.format(
tmp_folder=tmp_folder)
extractor = CsvTableColumnExtractor()
csv_loader = FsNeo4jCSVLoader()
task = DefaultTask(extractor,
loader=csv_loader,
transformer=NoopTransformer())
job_config = ConfigFactory.from_dict({
'extractor.csvtablecolumn.table_file_location':
table_path,
'extractor.csvtablecolumn.column_file_location':
column_path,
'loader.filesystem_csv_neo4j.node_dir_path':
node_files_folder,
'loader.filesystem_csv_neo4j.relationship_dir_path':
relationship_files_folder,
'loader.filesystem_csv_neo4j.delete_created_directories':
True,
'publisher.neo4j.node_files_directory':
node_files_folder,
'publisher.neo4j.relation_files_directory':
relationship_files_folder,
'publisher.neo4j.neo4j_endpoint':
neo4j_endpoint,
'publisher.neo4j.neo4j_user':
neo4j_user,
'publisher.neo4j.neo4j_password':
neo4j_password,
'publisher.neo4j.job_publish_tag':
'unique_tag', # should use unique tag here like {ds}
})
job = DefaultJob(conf=job_config, task=task, publisher=Neo4jCsvPublisher())
job.launch()
def run_table_column_job(table_path, column_path):
tmp_folder = '/var/tmp/amundsen/table_column'
node_files_folder = '{tmp_folder}/nodes'.format(tmp_folder=tmp_folder)
relationship_files_folder = '{tmp_folder}/relationships'.format(
tmp_folder=tmp_folder)
extractor = CsvTableColumnExtractor()
csv_loader = FsNeo4jCSVLoader()
task = DefaultTask(extractor,
loader=csv_loader,
transformer=NoopTransformer())
job_config = ConfigFactory.from_dict({
'extractor.csvtablecolumn.{}'.format(CsvTableColumnExtractor.TABLE_FILE_LOCATION):
table_path,
'extractor.csvtablecolumn.{}'.format(CsvTableColumnExtractor.COLUMN_FILE_LOCATION):
column_path,
'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.NODE_DIR_PATH):
node_files_folder,
'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.RELATION_DIR_PATH):
relationship_files_folder,
'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.SHOULD_DELETE_CREATED_DIR):
True,
'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=task, publisher=Neo4jCsvPublisher())
job.launch()
def create_table_extract_job():
where_clause_suffix = f'st.schemaname 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.postgres_metadata.{PostgresMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY}':
where_clause_suffix,
f'extractor.postgres_metadata.{PostgresMetadataExtractor.USE_CATALOG_AS_CLUSTER_NAME}':
True,
f'extractor.postgres_metadata.extractor.sqlalchemy.{SQLAlchemyExtractor.CONN_STRING}':
connection_string(),
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=PostgresMetadataExtractor(),
loader=FsNeo4jCSVLoader()),
publisher=Neo4jCsvPublisher())
job.launch()
def run_tableau_external_table_job():
task = DefaultTask(extractor=TableauDashboardExternalTableExtractor(), loader=FsNeo4jCSVLoader())
tmp_folder = '/var/tmp/amundsen/tableau_dashboard_external_table'
node_files_folder = f'{tmp_folder}/nodes'
relationship_files_folder = f'{tmp_folder}/relationships'
dict_config = common_tableau_config
dict_config.update({
'extractor.tableau_external_table.api_base_url': tableau_api_base_url,
'extractor.tableau_external_table.api_version': tableau_api_version,
'extractor.tableau_external_table.site_name': tableau_site_name,
'extractor.tableau_external_table.tableau_personal_access_token_name': tableau_personal_access_token_name,
'extractor.tableau_external_table.tableau_personal_access_token_secret': tableau_personal_access_token_secret,
'extractor.tableau_external_table.excluded_projects': tableau_excluded_projects,
'extractor.tableau_external_table.cluster': tableau_dashboard_cluster,
'extractor.tableau_external_table.database': tableau_dashboard_database,
'extractor.tableau_external_table.external_cluster_name': tableau_external_table_cluster,
'extractor.tableau_external_table.external_schema_name': tableau_external_table_schema,
'extractor.tableau_external_table.external_table_types': tableau_external_table_types,
'extractor.tableau_external_table.verify_request': tableau_verify_request,
'loader.filesystem_csv_neo4j.node_dir_path': node_files_folder,
'loader.filesystem_csv_neo4j.relationship_dir_path': relationship_files_folder,
'loader.filesystem_csv_neo4j.delete_created_directories': True,
'task.progress_report_frequency': 100,
'publisher.neo4j.node_files_directory': node_files_folder,
'publisher.neo4j.relation_files_directory': relationship_files_folder,
})
job_config = ConfigFactory.from_dict(dict_config)
job = DefaultJob(conf=job_config,
task=task,
publisher=Neo4jCsvPublisher())
job.launch()
def test_publisher(self) -> None:
with patch.object(GraphDatabase, 'driver') as mock_driver:
mock_session = MagicMock()
mock_driver.return_value.session.return_value = mock_session
mock_transaction = MagicMock()
mock_session.begin_transaction.return_value = mock_transaction
mock_run = MagicMock()
mock_transaction.run = mock_run
mock_commit = MagicMock()
mock_transaction.commit = mock_commit
publisher = Neo4jCsvPublisher()
conf = ConfigFactory.from_dict({
neo4j_csv_publisher.NEO4J_END_POINT_KEY:
'dummy://999.999.999.999:7687/',
neo4j_csv_publisher.NODE_FILES_DIR:
'{}/nodes'.format(self._resource_path),
neo4j_csv_publisher.RELATION_FILES_DIR:
'{}/relations'.format(self._resource_path),
neo4j_csv_publisher.NEO4J_USER:
'******',
neo4j_csv_publisher.NEO4J_PASSWORD:
'******',
neo4j_csv_publisher.JOB_PUBLISH_TAG:
'{}'.format(uuid.uuid4())
})
publisher.init(conf)
publisher.publish()
self.assertEqual(mock_run.call_count, 6)
# 2 node files, 1 relation file
self.assertEqual(mock_commit.call_count, 1)
def create_table_wm_job(**kwargs):
sql = textwrap.dedent("""
SELECT From_unixtime(min(A0.create_time)) as create_time,
'hive' as `database`,
C0.NAME as `schema`,
B0.tbl_name as table_name,
{func}(A0.part_name) as part_name,
{watermark} as part_type
FROM PARTITIONS A0
LEFT OUTER JOIN TBLS B0
ON A0.tbl_id = B0.tbl_id
LEFT OUTER JOIN DBS C0
ON B0.db_id = C0.db_id
WHERE C0.NAME IN {schemas}
AND B0.tbl_type IN ( 'EXTERNAL_TABLE', 'MANAGED_TABLE' )
AND A0.PART_NAME NOT LIKE '%%__HIVE_DEFAULT_PARTITION__%%'
GROUP BY C0.NAME, B0.tbl_name
ORDER by create_time desc
""").format(func=kwargs['templates_dict'].get('agg_func'),
watermark=kwargs['templates_dict'].get('watermark_type'),
schemas=SUPPORTED_HIVE_SCHEMA_SQL_IN_CLAUSE)
logging.info('SQL query: {}'.format(sql))
tmp_folder = '/var/tmp/amundsen/table_{hwm}'.format(
hwm=kwargs['templates_dict'].get('watermark_type').strip("\""))
node_files_folder = '{tmp_folder}/nodes'.format(tmp_folder=tmp_folder)
relationship_files_folder = '{tmp_folder}/relationships'.format(
tmp_folder=tmp_folder)
hwm_extractor = SQLAlchemyExtractor()
csv_loader = FsNeo4jCSVLoader()
task = DefaultTask(extractor=hwm_extractor,
loader=csv_loader,
transformer=NoopTransformer())
job_config = ConfigFactory.from_dict({
'extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.CONN_STRING):
connection_string(),
'extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.EXTRACT_SQL):
sql,
'extractor.sqlalchemy.model_class':
'databuilder.models.watermark.Watermark',
'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', # TO-DO unique tag must be added
})
job = DefaultJob(conf=job_config, task=task, publisher=Neo4jCsvPublisher())
job.launch()
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.NEO4J_CREATE_ONLY_NODES}':
[DESCRIPTION_NODE_LABEL],
'publisher.neo4j.job_publish_tag':
'some_unique_tag' # TO-DO unique tag must be added
})
return job_config
if __name__ == "__main__":
# This assumes you are running on a spark cluster (for example databricks cluster)
# that is configured with a hive metastore that
# has pointers to all of your delta tables
# Because of this, this code CANNOT run as a normal python operator on airflow.
spark = SparkSession.builder.appName(
"Amundsen Delta Lake Metadata Extraction").getOrCreate()
job_config = create_delta_lake_job_config()
dExtractor = DeltaLakeMetadataExtractor()
dExtractor.set_spark(spark)
job = DefaultJob(conf=job_config,
task=DefaultTask(extractor=dExtractor,
loader=FsNeo4jCSVLoader()),
publisher=Neo4jCsvPublisher())
job.launch()
