6

我们使用的是 Apache 1.9.0。我写了一个雪花钩子插件。我已将钩子放在 $AIRFLOW_HOME/plugins 目录中。

$AIRFLOW_HOME
  +--plugins
    +--snowflake_hook2.py

雪花钩子2.py

# This is the base class for a plugin
from airflow.plugins_manager import AirflowPlugin

# This is necessary to expose the plugin in the Web interface
from flask import Blueprint
from flask_admin import BaseView, expose
from flask_admin.base import MenuLink

# This is the base hook for connecting to a database
from airflow.hooks.dbapi_hook import DbApiHook

# This is the snowflake provided Connector
import snowflake.connector

# This is the default python logging package
import logging

class SnowflakeHook2(DbApiHook):
    """
    Airflow Hook to communicate with Snowflake
    This is implemented as a Plugin
    """
    def __init__(self, connname_in='snowflake_default', db_in='default', wh_in='default', schema_in='default'):
        logging.info('# Connecting to {0}'.format(connname_in))
        self.conn_name_attr = 'snowflake_conn_id'
        self.connname = connname_in
        self.superconn = super().get_connection(self.connname) #gets the values from Airflow

        {SNIP - Connection stuff that works}
        self.cur = self.conn.cursor()

    def query(self,q,params=None):
        """From jmoney's db_wrapper allows return of a full list of rows(tuples)"""
        if params == None: #no Params, so no insertion
            self.cur.execute(q)
        else: #make the parameter substitution
            self.cur.execute(q,params)
        self.results = self.cur.fetchall()
        self.rowcount = self.cur.rowcount
        self.columnnames = [colspec[0] for colspec in self.cur.description]
        return self.results
    {SNIP - Other class functions}

class SnowflakePluginClass(AirflowPlugin):
    name = "SnowflakePluginModule"
    hooks = [SnowflakeHook2]
    operators = []

因此,我继续在 Airflows plugin_manager 中添加了一些打印语句,以尝试更好地处理正在发生的事情。重新启动网络服务器并运行气流 list_dags 后,这些行显示“新模块名称”(并且没有错误

SnowflakePluginModule [<class '__home__ubuntu__airflow__plugins_snowflake_hook2.SnowflakeHook2'>]
hook_module -  airflow.hooks.snowflakepluginmodule
INTEGRATING airflow.hooks.snowflakepluginmodule
snowflakepluginmodule <module 'airflow.hooks.snowflakepluginmodule'>

由于这与文档所说的一致,我应该可以在我的 DAG 中使用它:

from airflow import DAG
from airflow.hooks.snowflakepluginmodule import SnowflakeHook2 
from airflow.operators.python_operator import PythonOperator

但是网络抛出了这个错误

Broken DAG: [/home/ubuntu/airflow/dags/test_sf2.py] No module named 'airflow.hooks.snowflakepluginmodule'

所以问题是,我做错了什么?还是我发现了一个错误?

4

2 回答 2

4

您需要导入如下:

from airflow import DAG
from airflow.hooks import SnowflakeHook2 
from airflow.operators.python_operator import PythonOperator

或者

from airflow import DAG
from airflow.hooks.SnowflakePluginModule import SnowflakeHook2 
from airflow.operators.python_operator import PythonOperator
于 2018-06-23T00:09:40.243 回答
0

我不认为气流会自动通过插件目录中的文件夹并运行它下面的所有内容。我成功设置它的方法是__init__.py在包含每个插件类的插件目录下有一个。看看 Github 中的 Astronomer 插件,它为如何设置插件提供了一些非常好的示例。

特别是看看他们是如何设置 mysql 插件的

https://github.com/airflow-plugins/mysql_plugin

也有人在更高版本的气流中加入了雪花钩,您可能想利用它:

https://github.com/apache/incubator-airflow/blob/master/airflow/contrib/hooks/snowflake_hook.py

于 2018-04-20T12:49:49.127 回答