Installing Apache Airflow On Ubuntu, CentOS Cloud Server

Abhishek Ghosh

By Abhishek Ghosh August 7, 2017 6:39 pm Updated on August 7, 2017

Installing Apache Airflow On Ubuntu, CentOS Cloud Server

Apache Airflow possibly needs a small introduction. It is basically a usable part for managing servers running Big Data tools. Airflow scheduler executes tasks on an array of workers while following the specified dependencies. There is command line utilities. Similar technology is behind Luigi, Azkaban, Oozie etc. Luigi is simpler in scope than Apache Airflow. Here are the steps for installing Apache Airflow on Ubuntu, CentOS running on cloud server. One may use Apache Airflow to author workflows as directed acyclic graphs of tasks.

Installing Apache Airflow On Ubuntu, CentOS Cloud Server

You can install Apache Airflow anywhere – including your Mac. Because it is just a Python package with submodules. On your Mac if you run :

pip search airflow

1	pip search airflow

Then you’ll get this kind of result :

abel-airflow (1.7.1.3.post3)     - Programmatically author, schedule and
                                   monitor data pipelines
airflow-alt-ldap (0.0.1)         - Alternative LDAP auth backend for airflow
                                   to support openLDAP installation without
                                   memberOf overlay
airflow-declarative (1.0)        - Airflow DAGs done declaratively
apache-airflow (1.8.2rc1)        - Programmatically author, schedule and
                                   monitor data pipelines
airflow (1.8.0)                  - Programmatically author, schedule and
                                   monitor data pipelines
airflow-imaging-plugins (2.4.1)  - Airflow plugins to support Neuroimaging
                                   tasks.
airflow_plugin_honeypot (1.0.0)  - Airflow plugin that captures, parses, and
                                   visualizes Hive log files
airflow_utils (0.3)              - collection of helpers to create airflow
                                   dags
AirflowOnTheDumpTruck (0.1.0)    - AirflowOnTheDumptruck bunch of airflow
                                   operators and hooks
fairflow (0.1.2)                 - Functional airflow.
hovertools (0.1.6)               - Tools for airflow-hovercraft
ussd_airflow (0.0.4.7)           - Ussd Airflow Library

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abel-airflow (1.7.1.3.post3) - Programmatically author, schedule and

monitor data pipelines

airflow-alt-ldap (0.0.1) - Alternative LDAP auth backend for airflow

to support openLDAP installation without

memberOf overlay

airflow-declarative (1.0) - Airflow DAGs done declaratively

apache-airflow (1.8.2rc1) - Programmatically author, schedule and

monitor data pipelines

airflow (1.8.0) - Programmatically author, schedule and

monitor data pipelines

airflow-imaging-plugins (2.4.1) - Airflow plugins to support Neuroimaging

tasks.

airflow_plugin_honeypot (1.0.0) - Airflow plugin that captures, parses, and

visualizes Hive log files

airflow_utils (0.3) - collection of helpers to create airflow

dags

AirflowOnTheDumpTruck (0.1.0) - AirflowOnTheDumptruck bunch of airflow

operators and hooks

fairflow (0.1.2) - Functional airflow.

hovertools (0.1.6) - Tools for airflow-hovercraft

ussd_airflow (0.0.4.7) - Ussd Airflow Library

Those things are written here :

https://airflow.incubator.apache.org/installation.html

1	https://airflow.incubator.apache.org/installation.html

As we are starting with a possible blank server running a server OS like Ubuntu, we need to install these things :

---

apt update
apt upgrade
apt install unzip build-essential python-dev libsasl2-dev python-pandas
apt install binutils gcc pandas

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apt update

apt upgrade

apt install unzip build-essential python-dev libsasl2-dev python-pandas

apt install binutils gcc pandas

For CentOS commands will be like this :

yum update
yum groupinstall "Development tools"
yum install zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel python-devel wget cyrus-sasl-devel.x86_64

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yum update

yum groupinstall "Development tools"

yum install zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel python-devel wget cyrus-sasl-devel.x86_64

If want a message broker then you will need to install RabbitMQ. We are not showing that steps as it is optional.
If you want to use MySQL as database repo you will need to install some MySQL dependencies :

apt install python-dev libmysqlclient-dev mariadb-devel
# or
yum install -y mysql-devel python-devel python-setuptools
pip install MySQL-python

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apt install python-dev libmysqlclient-dev mariadb-devel

# or

yum install -y mysql-devel python-devel python-setuptools

pip install MySQL-python

Now steps are common for any operating system. Run :

python -V

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python -V

We need Python 2.7.X, thats it. Then install pip :

wget https://bootstrap.pypa.io/ez_setup.py
python ez_setup.py
unzip setuptools-*.zip
cd setuptools-*
easy_install pip
# AirFlow needs it
pip install -U boto

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wget https://bootstrap.pypa.io/ez_setup.py

python ez_setup.py

unzip setuptools-*.zip

cd setuptools-*

easy_install pip

# AirFlow needs it

pip install -U boto

Installing AirFlow or components is easy :

pip install airflow==1.8.0
pip install airflow[hive]==1.8.0
pip install airflow[celery]==1.8.0
...

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pip install airflow==1.8.0

pip install airflow[hive]==1.8.0

pip install airflow[celery]==1.8.0

...

Commonly you’ll need this set :

pip install airflow[async,celery,crypto,druid,jdbc,hdfs,hive,kerberos,ldap,mysql,password,rabbitmq,vertica]

1	pip install airflow[async,celery,crypto,druid,jdbc,hdfs,hive,kerberos,ldap,mysql,password,rabbitmq,vertica]

Possibly you’ll set $HOME of Airflow from some sort of dot file :

export AIRFLOW_HOME=~/airflow

1	export AIRFLOW_HOME=~/airflow

Initiate Airflow :

airflow initdb

1	airflow initdb

Setup MySQL, create an airflow database, grant all on airflow database. We are not showing the steps.

In that $HOME of Airflow, you need to have dags, logs directories :

mkdir dags
mkdir logs

1 2	mkdir dags mkdir logs

At $HOME of Airflow, there is a airflow.cfg file. That like starts like :

[core]
# The home folder for airflow, default is ~/airflow
airflow_home = /usr/local/airflow
...

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[core]

# The home folder for airflow, default is ~/airflow

airflow_home = /usr/local/airflow

...

That will need to have settings like this :

executor = CeleryExecutor
sql_alchemy_conn = mysql://{USERNAME}:{PASSWORD}@{MYSQL_HOST}:3306/airflow
dags_are_paused_at_creation = True
load_examples = False
celery_result_backend = db+mysql://{USERNAME}:{PASSWORD}@{MYSQL_HOST}:3306/airflow
# optional
default_queue = {YOUR_QUEUE_NAME_HERE}
# for RabbitMQ
broker_url = amqp://guest:guest@{RABBITMQ_HOST}:5672/
# for AWS SQS:
broker_url = sqs://{ACCESS_KEY_ID}:{SECRET_KEY}@

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executor = CeleryExecutor

sql_alchemy_conn = mysql://{USERNAME}:{PASSWORD}@{MYSQL_HOST}:3306/airflow

dags_are_paused_at_creation = True

load_examples = False

celery_result_backend = db+mysql://{USERNAME}:{PASSWORD}@{MYSQL_HOST}:3306/airflow

# optional

default_queue = {YOUR_QUEUE_NAME_HERE}

# for RabbitMQ

broker_url = amqp://guest:guest@{RABBITMQ_HOST}:5672/

# for AWS SQS:

broker_url = sqs://{ACCESS_KEY_ID}:{SECRET_KEY}@

Again run :

airflow initdb

1	airflow initdb

Now the last steps :

# start server
nohup airflow webserver $* >> ~/airflow/logs/webserver.logs &
# start Celery workers
nohup airflow worker $* >> ~/airflow/logs/worker.logs &
# start Scheduler
nohup airflow scheduler >> ~/airflow/logs/scheduler.logs &
# start Flower 
nohup airflow flower >> ~/airflow/logs/flower.logs &

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# start server

nohup airflow webserver $* >> ~/airflow/logs/webserver.logs &

# start Celery workers

nohup airflow worker $* >> ~/airflow/logs/worker.logs &

# start Scheduler

nohup airflow scheduler >> ~/airflow/logs/scheduler.logs &

# start Flower

nohup airflow flower >> ~/airflow/logs/flower.logs &

You can now navigate to the Airflow UI on Browser :

http://IP.Address:8080/admin/

1	http://IP.Address:8080/admin/

And Flower web UI :

http://IP.Address:5555/

1	http://IP.Address:5555/

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