airflow elasticsearch 源码
airflow elasticsearch 代码
文件路径:/airflow/providers/elasticsearch/hooks/elasticsearch.py
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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from __future__ import annotations
import warnings
from typing import Any
from elasticsearch import Elasticsearch
from es.elastic.api import Connection as ESConnection, connect
from airflow.compat.functools import cached_property
from airflow.hooks.base import BaseHook
from airflow.models.connection import Connection as AirflowConnection
from airflow.providers.common.sql.hooks.sql import DbApiHook
class ElasticsearchSQLHook(DbApiHook):
"""
Interact with Elasticsearch through the elasticsearch-dbapi.
This hook uses the Elasticsearch conn_id.
:param elasticsearch_conn_id: The :ref:`ElasticSearch connection id <howto/connection:elasticsearch>`
used for Elasticsearch credentials.
"""
conn_name_attr = 'elasticsearch_conn_id'
default_conn_name = 'elasticsearch_default'
conn_type = 'elasticsearch'
hook_name = 'Elasticsearch'
def __init__(self, schema: str = "http", connection: AirflowConnection | None = None, *args, **kwargs):
super().__init__(*args, **kwargs)
self.schema = schema
self.connection = connection
def get_conn(self) -> ESConnection:
"""Returns a elasticsearch connection object"""
conn_id = getattr(self, self.conn_name_attr)
conn = self.connection or self.get_connection(conn_id)
conn_args = dict(
host=conn.host,
port=conn.port,
user=conn.login or None,
password=conn.password or None,
scheme=conn.schema or "http",
)
if conn.extra_dejson.get('http_compress', False):
conn_args["http_compress"] = bool(["http_compress"])
if conn.extra_dejson.get('timeout', False):
conn_args["timeout"] = conn.extra_dejson["timeout"]
conn = connect(**conn_args)
return conn
def get_uri(self) -> str:
conn_id = getattr(self, self.conn_name_attr)
conn = self.connection or self.get_connection(conn_id)
login = ''
if conn.login:
login = '{conn.login}:{conn.password}@'.format(conn=conn)
host = conn.host
if conn.port is not None:
host += f':{conn.port}'
uri = '{conn.conn_type}+{conn.schema}://{login}{host}/'.format(conn=conn, login=login, host=host)
extras_length = len(conn.extra_dejson)
if not extras_length:
return uri
uri += '?'
for arg_key, arg_value in conn.extra_dejson.items():
extras_length -= 1
uri += f"{arg_key}={arg_value}"
if extras_length:
uri += '&'
return uri
class ElasticsearchHook(ElasticsearchSQLHook):
"""
This class is deprecated and was renamed to ElasticsearchSQLHook.
Please use `airflow.providers.elasticsearch.hooks.elasticsearch.ElasticsearchSQLHook`.
"""
def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.elasticsearch.hooks.elasticsearch.ElasticsearchSQLHook`.""",
DeprecationWarning,
stacklevel=3,
)
super().__init__(*args, **kwargs)
class ElasticsearchPythonHook(BaseHook):
"""
Interacts with Elasticsearch. This hook uses the official Elasticsearch Python Client.
:param hosts: list: A list of a single or many Elasticsearch instances. Example: ["http://localhost:9200"]
:param es_conn_args: dict: Additional arguments you might need to enter to connect to Elasticsearch.
Example: {"ca_cert":"/path/to/cert", "basic_auth": "(user, pass)"}
"""
def __init__(self, hosts: list[Any], es_conn_args: dict | None = None):
super().__init__()
self.hosts = hosts
self.es_conn_args = es_conn_args if es_conn_args else {}
def _get_elastic_connection(self):
"""Returns the Elasticsearch client"""
client = Elasticsearch(self.hosts, **self.es_conn_args)
return client
@cached_property
def get_conn(self):
"""Returns the Elasticsearch client (cached)"""
return self._get_elastic_connection()
def search(self, query: dict[Any, Any], index: str = "_all") -> dict:
"""
Returns results matching a query using Elasticsearch DSL
:param index: str: The index you want to query
:param query: dict: The query you want to run
:returns: dict: The response 'hits' object from Elasticsearch
"""
es_client = self.get_conn
result = es_client.search(index=index, body=query)
return result['hits']
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