SLA misses and notifications in Apache Airflow - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is an SLA in Apache Airflow?

SLA stands for Service Level Agreement. In Airflow, it is a time limit set on tasks to finish by a certain deadline.

beginner

What happens when a task misses its SLA in Airflow?

Airflow records the SLA miss and can trigger notifications to alert users about the delay.

intermediate

How do you enable SLA notifications in Airflow?

You set the 'sla_miss_callback' function in your DAG to define what happens when an SLA is missed, like sending an email.

beginner

What is the role of 'sla' parameter in Airflow tasks?

The 'sla' parameter sets a deadline (a datetime.timedelta) for the task to complete. If the task runs longer, it triggers an SLA miss.

intermediate

Can SLA misses trigger automatic retries in Airflow?

No, SLA misses only notify about delays. Retries are controlled separately by the 'retries' and 'retry_delay' parameters.

What does SLA stand for in Airflow?

A Scheduled Log Action

B System Log Alert

C Service Level Agreement

D Service Load Average

SLA means Service Level Agreement, a deadline for task completion.

Which Airflow parameter sets the deadline for a task?

A execution_timeout

B retry_delay

C start_date

D sla

The 'sla' parameter defines the time limit for task completion.

What happens when a task misses its SLA?

A Airflow triggers an SLA miss notification

B The task automatically retries

C The DAG stops running

D Nothing happens

Airflow records the SLA miss and can notify users.

How do you customize SLA miss notifications?

A By setting 'sla_miss_callback' in the DAG

B By changing 'retry_delay'

C By modifying 'start_date'

D By setting 'max_active_runs'

The 'sla_miss_callback' function defines actions on SLA misses.

Do SLA misses cause task retries automatically?

A Yes, always

B No, retries are separate from SLA misses

C Only if 'sla_retry' is true

D Only for PythonOperator tasks

Retries depend on 'retries' and 'retry_delay', not SLA misses.

Explain how SLA misses work in Airflow and how you can notify users when they happen.

Think about deadlines on tasks and what happens if they are late.

Describe the difference between SLA misses and task retries in Airflow.

Consider what each feature is meant to do.

Practice

1. What does setting an sla parameter on an Airflow task do?

easy

A. It defines a time limit; if the task runs longer, it triggers an SLA miss.

B. It sets the maximum retries for the task.

C. It schedules the task to run at a specific time.

D. It disables the task from running automatically.

Solution

1. Step 1: Understand the purpose of sla in Airflow tasks

   The sla parameter sets a time limit for task execution.

2. Step 2: Identify what happens when the limit is exceeded

   If the task runs longer than the sla time, Airflow marks it as an SLA miss.

3. Final Answer:

   It defines a time limit; if the task runs longer, it triggers an SLA miss. -> Option A

4. Quick Check:

   sla sets time limit = C [OK]

Hint: Remember SLA means max allowed time for task [OK]

Common Mistakes:

• Confusing SLA with retry count
• Thinking SLA schedules task start time
• Assuming SLA disables tasks

2. Which of the following is the correct way to define an SLA of 30 minutes on a task in Airflow?

easy

A. sla='30 minutes'

B. sla=30

C. sla=timedelta(minutes=30)

D. sla='00:30:00'

Solution

1. Step 1: Recall the correct data type for sla

   The sla parameter expects a datetime.timedelta object.

2. Step 2: Identify the correct syntax for 30 minutes timedelta

   timedelta(minutes=30) correctly creates a 30-minute duration.

3. Final Answer:

   sla=timedelta(minutes=30) -> Option C

4. Quick Check:

   sla uses timedelta object = B [OK]

Hint: Use timedelta for time durations in Airflow [OK]

Common Mistakes:

• Using string instead of timedelta
• Passing integer without timedelta
• Using incorrect string format

3. Given this DAG snippet, what will happen if task1 runs longer than 10 minutes?

from datetime import timedelta
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.utils.dates import days_ago

def sla_miss_callback(dag, task_list, blocking_task_list, slas, session=None):
    print('SLA missed!')

dag = DAG('sla_example', start_date=days_ago(1))

task1 = DummyOperator(
    task_id='task1',
    dag=dag,
    sla=timedelta(minutes=10)
)

dag.sla_miss_callback = sla_miss_callback

medium

A. The sla_miss_callback function will print 'SLA missed!' when the SLA is missed.

B. Nothing happens because DummyOperator ignores SLA.

C. The task will automatically retry until it finishes within 10 minutes.

D. Airflow will fail the DAG immediately.

Solution

1. Step 1: Understand SLA miss callback usage

   The DAG-level sla_miss_callback is called when any task misses its SLA.

2. Step 2: Identify what the callback does

   The callback prints 'SLA missed!' when triggered by a task exceeding its SLA.

3. Final Answer:

   The sla_miss_callback function will print 'SLA missed!' when the SLA is missed. -> Option A

4. Quick Check:

   SLA miss triggers callback print = A [OK]

Hint: SLA miss triggers callback, not retries or failure [OK]

Common Mistakes:

• Thinking SLA causes retries automatically
• Assuming DummyOperator ignores SLA
• Believing DAG fails immediately on SLA miss

4. You wrote this code to notify on SLA misses but no notification happens:

def notify_sla_miss(dag, task_list, blocking_task_list, slas, session=None):
    send_email('[e-mail]', 'SLA Missed')

dag = DAG('sla_notify', start_date=days_ago(1), sla_miss_callback=notify_sla_miss)

task = DummyOperator(task_id='task', dag=dag, sla=timedelta(minutes=5))

What is the likely reason notifications are not sent?

medium

A. DummyOperator does not support SLA misses.

B. SLA miss callback must be set on the task, not the DAG.

C. The SLA time must be set in seconds, not minutes.

D. The send_email function is not defined or imported.

Solution

1. Step 1: Check the callback function implementation

   The callback calls send_email but no import or definition is shown.

2. Step 2: Understand Airflow's email sending

   Airflow requires proper email function or operator; undefined send_email causes failure silently.

3. Final Answer:

   The send_email function is not defined or imported. -> Option D

4. Quick Check:

   Undefined email function blocks notification = D [OK]

Hint: Ensure email functions are imported or use Airflow email operators [OK]

Common Mistakes:

• Setting callback on DAG instead of task (both valid but DAG preferred)
• Wrong SLA time units
• Assuming DummyOperator ignores SLA

5. You want to send a custom Slack message when any task misses its SLA in your DAG. Which approach correctly implements this?

hard

A. Set sla on tasks and add a SlackOperator as a downstream task to notify SLA misses.

B. Define a sla_miss_callback function that uses Slack API and assign it to the DAG's sla_miss_callback parameter.

C. Use on_failure_callback on tasks to send Slack messages when SLA is missed.

D. Configure Airflow to send Slack notifications by setting sla to the Slack channel name.

Solution

1. Step 1: Understand how SLA miss notifications work

   SLA misses trigger the sla_miss_callback function assigned to the DAG or task.

2. Step 2: Identify correct way to send Slack message on SLA miss

   Implement a callback function that calls Slack API and assign it to DAG's sla_miss_callback.

3. Final Answer:

   Define a sla_miss_callback function that uses Slack API and assign it to the DAG's sla_miss_callback parameter. -> Option B

4. Quick Check:

   SLA miss callback with Slack API = A [OK]

Hint: Use sla_miss_callback with Slack API for notifications [OK]

Common Mistakes:

• Using on_failure_callback instead of sla_miss_callback
• Trying to notify via downstream tasks
• Misconfiguring sla parameter as Slack channel