kaxil commented on a change in pull request #16084:
URL: https://github.com/apache/airflow/pull/16084#discussion_r641481316
##########
File path: docs/apache-airflow/tutorial.rst
##########
@@ -376,3 +376,133 @@ Here's a few things you might want to do next:
- Review the :ref:`List of operators <pythonapi:operators>`
- Review the :ref:`Macros reference<macros>`
- Write your first pipeline!
+
+
+Lets look at another example; we need to get some data from a file which is
hosted online and need to insert into our local database. We also need to look
at removing duplicate rows while inserting.
+
+Initial setup
+'''''''''''''
+We need to have docker and postgres installed.
+We will be using this `docker file
<https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#docker-compose-yaml>`_
+Follow the instructions properly to set up Airflow.
+
+Create a Employee table in postgres using this
+
+.. code-block:: sql
+
+ create table "Employees"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+ create table "Employees_temp"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+I have broken this down into 3 steps get data, insert data, merge data.Lets
look at the code:
Review comment:
```suggestion
Let's break this down into 3 steps: get data, insert data, merge data:
```
##########
File path: docs/apache-airflow/tutorial.rst
##########
@@ -376,3 +376,133 @@ Here's a few things you might want to do next:
- Review the :ref:`List of operators <pythonapi:operators>`
- Review the :ref:`Macros reference<macros>`
- Write your first pipeline!
+
+
+Lets look at another example; we need to get some data from a file which is
hosted online and need to insert into our local database. We also need to look
at removing duplicate rows while inserting.
+
+Initial setup
+'''''''''''''
+We need to have docker and postgres installed.
+We will be using this `docker file
<https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#docker-compose-yaml>`_
+Follow the instructions properly to set up Airflow.
+
+Create a Employee table in postgres using this
+
+.. code-block:: sql
+
+ create table "Employees"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+ create table "Employees_temp"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+I have broken this down into 3 steps get data, insert data, merge data.Lets
look at the code:
+
+.. code-block:: python
+
+ def get_data():
+ url =
"https://docs.google.com/uc?export=download&id=1a0RGUW2oYxyhIQYuezG_u8cxgUaAQtZw";
+
+ payload = {}
+ headers = {}
+
+ response = requests.request("GET", url, headers=headers, data=payload)
+
+ with open('/usr/local/airflow/dags/files/employees.csv', 'w') as file:
+ for row in response.text.split('\n'):
+ file.write(row)
+
+Here we are passing a get request to get the data from the url and save it
employees.csv file on our airflow instance
Review comment:
```suggestion
Here we are passing a`GET` request to get the data from the URL and save it
in `employees.csv` file on our Airflow instance.
```
##########
File path: docs/apache-airflow/tutorial.rst
##########
@@ -376,3 +376,133 @@ Here's a few things you might want to do next:
- Review the :ref:`List of operators <pythonapi:operators>`
- Review the :ref:`Macros reference<macros>`
- Write your first pipeline!
+
+
+Lets look at another example; we need to get some data from a file which is
hosted online and need to insert into our local database. We also need to look
at removing duplicate rows while inserting.
+
+Initial setup
+'''''''''''''
+We need to have docker and postgres installed.
+We will be using this `docker file
<https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#docker-compose-yaml>`_
+Follow the instructions properly to set up Airflow.
+
+Create a Employee table in postgres using this
+
+.. code-block:: sql
+
+ create table "Employees"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+ create table "Employees_temp"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+I have broken this down into 3 steps get data, insert data, merge data.Lets
look at the code:
+
+.. code-block:: python
+
+ def get_data():
+ url =
"https://docs.google.com/uc?export=download&id=1a0RGUW2oYxyhIQYuezG_u8cxgUaAQtZw";
+
+ payload = {}
+ headers = {}
+
+ response = requests.request("GET", url, headers=headers, data=payload)
+
+ with open('/usr/local/airflow/dags/files/employees.csv', 'w') as file:
+ for row in response.text.split('\n'):
+ file.write(row)
+
+Here we are passing a get request to get the data from the url and save it
employees.csv file on our airflow instance
+
+.. code-block:: python
+
+ def insert_data():
+ engine =
create_engine("postgresql+psycopg2://postgres:password@localhost:5432/postgres")
+ df = pd.read_csv('/usr/local/airflow/dags/files/employees.csv')
+ df.to_sql('Employees_temp', con=engine, if_exists='replace')
+
+Here we are dumping the file into a temporary table before merging the data to
the final employees table
+
+.. code-block:: python
+
+ def merge_data():
+ query = """
+ delete
+ from "Employees" e using "Employees_temp" et
+ where e."Serial Number" = et."Serial Number";
+
+ insert into "Employees"
+ select *
+ from "Employees_temp";
+ """
+ try:
+ engine =
create_engine("postgresql+psycopg2://postgres:password@localhost:5432/postgres")
+ session = sessionmaker(bind=engine)()
+ session.execute(query)
+ session.commit()
+ return 0
+ except Exception as e:
+ return 1
+
+Here we are first looking for duplicate values and removing them before we
insert new values in our final table
+
+
+Lets look at our DAG:
+
+.. code-block:: python
+
+ with DAG(
+ dag_id='AirflowExample',
+ schedule_interval='0 0 * * *',
+ start_date=datetime.today() - timedelta(days=2),
+ dagrun_timeout=timedelta(minutes=60)
+ ) as dag:
+ t1 = PythonOperator(
+ task_id='get_data',
+ python_callable=get_data,
+ )
+
+ t2 = PythonOperator(
+ task_id='insert_data',
+ python_callable=get_data,
+ )
+
+ t3 = PythonOperator(
+ task_id='merge_data',
+ python_callable=get_data,
+ )
+
+ t1 >> t2 >> t3
+
+This dag runs daily at 00:00.
+Add this python file to airflow/dags folder and go back to the main folder and
run
+
+.. code-block:: bash
+
+ docker-compose -f docker-compose-LocalExecutor.yml up -d
+
+Go to your browser and go to the site http://localhost:8080/admin/ and trigger
your DAG Airflow Example
+
+.. image::
https://user-images.githubusercontent.com/35194828/119649317-1d148300-be40-11eb-9525-33ecf7eb6181.png
+
+
+.. image::
https://user-images.githubusercontent.com/35194828/119649304-1b4abf80-be40-11eb-8632-64f0d2c7dbb2.png
+
Review comment:
Let's include these images in the PR and Airflow repo:
https://github.com/apache/airflow/tree/master/docs/apache-airflow/img
Otherwise when those images are deleted for whatever reason, this will be
broken
##########
File path: docs/apache-airflow/tutorial.rst
##########
@@ -376,3 +376,133 @@ Here's a few things you might want to do next:
- Review the :ref:`List of operators <pythonapi:operators>`
- Review the :ref:`Macros reference<macros>`
- Write your first pipeline!
+
+
+Lets look at another example; we need to get some data from a file which is
hosted online and need to insert into our local database. We also need to look
at removing duplicate rows while inserting.
+
+Initial setup
+'''''''''''''
+We need to have docker and postgres installed.
+We will be using this `docker file
<https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#docker-compose-yaml>`_
+Follow the instructions properly to set up Airflow.
+
+Create a Employee table in postgres using this
+
+.. code-block:: sql
+
+ create table "Employees"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+ create table "Employees_temp"
+ (
+ "Serial Number" numeric not null
+ constraint employees\_pk
+ primary key,
+ "Company Name" text,
+ "Employee Markme" text,
+ "Description" text,
+ "Leave" integer
+ );
+
+I have broken this down into 3 steps get data, insert data, merge data.Lets
look at the code:
+
+.. code-block:: python
+
+ def get_data():
+ url =
"https://docs.google.com/uc?export=download&id=1a0RGUW2oYxyhIQYuezG_u8cxgUaAQtZw";
+
+ payload = {}
+ headers = {}
+
+ response = requests.request("GET", url, headers=headers, data=payload)
+
+ with open('/usr/local/airflow/dags/files/employees.csv', 'w') as file:
+ for row in response.text.split('\n'):
+ file.write(row)
Review comment:
```suggestion
response = requests.request("GET", url)
with open('/usr/local/airflow/dags/files/employees.csv', 'w') as file:
for row in response.text.split('\n'):
file.write(row)
```
Since we are not passing them
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