Idempotent task design in Apache Airflow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a task that runs only if it hasn't run before.

Apache Airflow

def task_function(**kwargs):
    ti = kwargs['ti']
    if ti.xcom_pull(task_ids='task_id') is [1]:
        print('Running task')

Drag options to blanks, or click blank then click option'

ANone

BFalse

CTrue

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using False or 0 instead of None causes wrong checks.

The task checks if the previous run result is None, meaning it hasn't run yet.

2fill in blank

medium

Complete the code to push a result to XCom after task completion.

Apache Airflow

def task_function(**kwargs):
    ti = kwargs['ti']
    result = 'done'
    ti.xcom_push(key='status', value=[1])

Drag options to blanks, or click blank then click option'

A'result'

Bresult

C'done'

D'status'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a string literal instead of the variable causes wrong data to be pushed.

The variable result holds the value to push, so it should be passed directly.

3fill in blank

hard

Fix the error in the task decorator to ensure idempotency with retries.

Apache Airflow

@task(retries=[1])
def my_task():
    pass

Drag options to blanks, or click blank then click option'

A3

B-1

CNone

D'3'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string instead of an integer causes type errors.

The retries parameter must be an integer, not a string, to work correctly.

4fill in blank

hard

Fill both blanks to create an idempotent task that skips if output exists.

Apache Airflow

def task_function(**kwargs):
    ti = kwargs['ti']
    output = ti.xcom_pull(task_ids=[1], key=[2])
    if output is not None:
        print('Skipping task')

Drag options to blanks, or click blank then click option'

A'previous_task'

B'result'

C'current_task'

D'status'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong task IDs or keys causes the check to fail.

The task pulls the 'result' key from the 'previous_task' to check if it ran before.

5fill in blank

hard

Fill all three blanks to define an idempotent task that updates a database only once.

Apache Airflow

def update_db_task(**kwargs):
    ti = kwargs['ti']
    already_done = ti.xcom_pull(task_ids=[1], key=[2])
    if not already_done:
        # perform update
        ti.xcom_push(key=[3], value=True)

Drag options to blanks, or click blank then click option'

A'check_update'

B'update_status'

C'done'

D'update_db_task'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up keys or task IDs breaks the idempotency check.

The task checks 'done' key from 'check_update' task and pushes 'update_status' after updating.

Practice

1. What does it mean for a task in Airflow to be idempotent?

easy

A. It can run multiple times without changing the result beyond the first run

B. It runs only once and then stops permanently

C. It requires manual approval before each run

D. It always produces a different output every time it runs

Solution

1. Step 1: Understand idempotency in task context

   Idempotent means running the task multiple times does not change the final outcome after the first successful run.

2. Step 2: Compare options with definition

   Only It can run multiple times without changing the result beyond the first run matches this meaning; others describe different behaviors.

3. Final Answer:

   It can run multiple times without changing the result beyond the first run -> Option A

4. Quick Check:

   Idempotent = safe repeated runs [OK]

Hint: Idempotent means safe to run many times without side effects [OK]

Common Mistakes:

• Thinking idempotent means runs only once
• Confusing idempotent with manual approval
• Assuming output changes every run

2. Which Airflow feature helps store task state to support idempotent task design?

easy

A. XCom for passing messages between tasks

B. DAG scheduling interval

C. Task retries count

D. Airflow webserver UI

Solution

1. Step 1: Identify Airflow features related to task state

   XCom is used to share small pieces of data between tasks, useful to track if work is done.

2. Step 2: Match feature to idempotency support

   XCom helps tasks check previous results to avoid repeating work, supporting idempotency.

3. Final Answer:

   XCom for passing messages between tasks -> Option A

4. Quick Check:

   XCom stores task state for idempotency [OK]

Hint: XCom stores task info between runs to check completion [OK]

Common Mistakes:

• Confusing scheduling interval with task state
• Thinking retries control idempotency
• Assuming web UI manages task data

3. Given this Airflow PythonOperator task code snippet, what will be the output if the task runs twice?

def task_function(**kwargs):
    ti = kwargs['ti']
    if ti.xcom_pull(task_ids='task_function', key='status') == 'done':
        return 'Already done'
    # Simulate work
    ti.xcom_push(key='status', value='done')
    return 'Work done'

medium

A. Both runs return 'Work done'

B. First run: 'Work done', second run: 'Already done'

C. First run returns None, second run errors

D. Both runs return 'Already done'

Solution

1. Step 1: Analyze first run behavior

   On first run, no XCom value 'done' exists, so task pushes 'done' and returns 'Work done'.

2. Step 2: Analyze second run behavior

   On second run, XCom pull returns 'done', so task returns 'Already done' without repeating work.

3. Final Answer:

   First run: 'Work done', second run: 'Already done' -> Option B

4. Quick Check:

   Check XCom before work = different outputs [OK]

Hint: Check XCom pull result to decide task output [OK]

Common Mistakes:

• Ignoring XCom pull result and always doing work
• Assuming XCom push overwrites before pull
• Confusing return values with XCom data

4. You wrote an Airflow task to be idempotent by checking XCom before running. But the task always repeats work on every run. What is the most likely cause?

medium

A. The Airflow webserver is down

B. The DAG schedule interval is too frequent

C. The task retries are set to zero

D. The task uses different keys or task_ids when pushing and pulling XCom

Solution

1. Step 1: Understand XCom push and pull matching

   XCom pull must use the exact same key and task_id as the push to retrieve stored data.

2. Step 2: Identify cause of repeated work

   If keys or task_ids differ, pull returns None, so task thinks work is not done and repeats it.

3. Final Answer:

   The task uses different keys or task_ids when pushing and pulling XCom -> Option D

4. Quick Check:

   XCom key/task_id mismatch causes repeated work [OK]

Hint: Match XCom keys and task_ids exactly to avoid repeats [OK]

Common Mistakes:

• Blaming schedule interval for idempotency failure
• Thinking retries affect XCom data
• Assuming webserver status impacts task logic

5. You want to design an Airflow task that downloads a file only if it does not exist locally, ensuring idempotency. Which approach is best?

hard

A. Always download the file to overwrite local copy

B. Download the file only if the DAG run is the first of the day

C. Check if the file exists before downloading; if yes, skip download and mark task done

D. Use task retries to handle download failures

Solution

1. Step 1: Identify idempotent design for file download

   Idempotency means avoiding repeated work if already done, so check file existence first.

2. Step 2: Evaluate options for idempotency

   Check if the file exists before downloading; if yes, skip download and mark task done checks file presence and skips download if found, ensuring safe repeated runs.

3. Final Answer:

   Check if the file exists before downloading; if yes, skip download and mark task done -> Option C

4. Quick Check:

   Check before action ensures idempotency [OK]

Hint: Check existing output before work to ensure idempotency [OK]

Common Mistakes:

• Always downloading ignores idempotency
• Using DAG run time instead of file check
• Relying on retries for idempotency