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athena_data_loader.py
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athena_data_loader.py
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# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
"""
This is a example script which demo how to load data
into Neo4j and Elasticsearch without using an Airflow DAG.
"""
import sys
import textwrap
import uuid
from elasticsearch import Elasticsearch
from pyhocon import ConfigFactory
from sqlalchemy.ext.declarative import declarative_base
from databuilder.extractor.neo4j_extractor import Neo4jExtractor
from databuilder.extractor.neo4j_search_data_extractor import Neo4jSearchDataExtractor
from databuilder.extractor.postgres_metadata_extractor import PostgresMetadataExtractor
from databuilder.extractor.sql_alchemy_extractor import SQLAlchemyExtractor
from databuilder.job.job import DefaultJob
from databuilder.loader.file_system_elasticsearch_json_loader import FSElasticsearchJSONLoader
from databuilder.loader.file_system_neo4j_csv_loader import FsNeo4jCSVLoader
from databuilder.publisher import neo4j_csv_publisher
from databuilder.publisher.elasticsearch_publisher import ElasticsearchPublisher
from databuilder.publisher.neo4j_csv_publisher import Neo4jCsvPublisher
from databuilder.task.task import DefaultTask
from databuilder.transformer.base_transformer import NoopTransformer
import uuid
from datetime import datetime, timedelta
from databuilder.extractor.athena_metadata_extractor import AthenaMetadataExtractor
es_host = None
neo_host = None
if len(sys.argv) > 1:
es_host = sys.argv[1]
if len(sys.argv) > 2:
neo_host = sys.argv[2]
es = Elasticsearch([
{'host': es_host if es_host else 'localhost'},
])
NEO4J_ENDPOINT = f'bolt://{neo_host or "localhost"}:7687'
neo4j_endpoint = NEO4J_ENDPOINT
neo4j_user = 'neo4j'
neo4j_password = 'test'
# todo: connection string needs to change
SUPPORTED_SCHEMAS = ['iris']
# String format - ('schema1', schema2', .... 'schemaN')
SUPPORTED_SCHEMA_SQL_IN_CLAUSE = "('{schemas}')".format(schemas="', '".join(SUPPORTED_SCHEMAS))
OPTIONAL_TABLE_NAMES = ''
AWS_ACCESS = '<yourAWSAccessKeyID>'
AWS_SECRET = '<yourAWSSecretAccessKey>'
def connection_string():
access_key = AWS_ACCESS
secret = AWS_SECRET
host = 'athena.us-east-1.amazonaws.com'
extras = 's3_staging_dir=s3://<yourS3Bucker>/'
return "awsathena+rest://%s:%s@%s:443/?%s" % (access_key, secret, host, extras)
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_es_publisher_sample_job(elasticsearch_index_alias='table_search_index',
elasticsearch_doc_type_key='table',
model_name='databuilder.models.table_elasticsearch_document.TableESDocument',
cypher_query=None,
elasticsearch_mapping=None):
"""
:param elasticsearch_index_alias: alias for Elasticsearch used in
amundsensearchlibrary/search_service/config.py as an index
:param elasticsearch_doc_type_key: name the ElasticSearch index is prepended with. Defaults to `table` resulting in
`table_search_index`
:param model_name: the Databuilder model class used in transporting between Extractor and Loader
:param cypher_query: Query handed to the `Neo4jSearchDataExtractor` class, if None is given (default)
it uses the `Table` query baked into the Extractor
:param elasticsearch_mapping: Elasticsearch field mapping "DDL" handed to the `ElasticsearchPublisher` class,
if None is given (default) it uses the `Table` query baked into the Publisher
"""
# loader saves data to this location and publisher reads it from here
extracted_search_data_path = '/var/tmp/amundsen/search_data.json'
task = DefaultTask(loader=FSElasticsearchJSONLoader(),
extractor=Neo4jSearchDataExtractor(),
transformer=NoopTransformer())
# elastic search client instance
elasticsearch_client = es
# unique name of new index in Elasticsearch
elasticsearch_new_index_key = 'tables' + str(uuid.uuid4())
job_config = ConfigFactory.from_dict({
f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.GRAPH_URL_CONFIG_KEY}': neo4j_endpoint,
f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.MODEL_CLASS_CONFIG_KEY}': model_name,
f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.NEO4J_AUTH_USER}': neo4j_user,
f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.NEO4J_AUTH_PW}': neo4j_password,
f'loader.filesystem.elasticsearch.{FSElasticsearchJSONLoader.FILE_PATH_CONFIG_KEY}': extracted_search_data_path,
f'loader.filesystem.elasticsearch.{FSElasticsearchJSONLoader.FILE_MODE_CONFIG_KEY}': 'w',
f'publisher.elasticsearch.{ElasticsearchPublisher.FILE_PATH_CONFIG_KEY}': extracted_search_data_path,
f'publisher.elasticsearch.{ElasticsearchPublisher.FILE_MODE_CONFIG_KEY}': 'r',
f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_CLIENT_CONFIG_KEY}':
elasticsearch_client,
f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_NEW_INDEX_CONFIG_KEY}':
elasticsearch_new_index_key,
f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_DOC_TYPE_CONFIG_KEY}':
elasticsearch_doc_type_key,
f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_ALIAS_CONFIG_KEY}':
elasticsearch_index_alias,
})
# only optionally add these keys, so need to dynamically `put` them
if cypher_query:
job_config.put(f'extractor.search_data.{Neo4jSearchDataExtractor.CYPHER_QUERY_CONFIG_KEY}',
cypher_query)
if elasticsearch_mapping:
job_config.put(f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_MAPPING_CONFIG_KEY}',
elasticsearch_mapping)
job = DefaultJob(conf=job_config,
task=task,
publisher=ElasticsearchPublisher())
return job
if __name__ == "__main__":
# Uncomment next line to get INFO level logging
# logging.basicConfig(level=logging.INFO)
loading_job = create_table_extract_job()
loading_job.launch()
job_es_table = create_es_publisher_sample_job(
elasticsearch_index_alias='table_search_index',
elasticsearch_doc_type_key='table',
model_name='databuilder.models.table_elasticsearch_document.TableESDocument')
job_es_table.launch()