Broadcast joins for small tables in Apache Spark - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to broadcast the small DataFrame before joining.

Apache Spark

from pyspark.sql.functions import broadcast
result = large_df.join([1](small_df), 'id')

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

Abroadcast

Bcache

Cpersist

Dcollect

Attempts:

3 left

💡 Hint

Common Mistakes

Using cache() or persist() instead of broadcast()

Trying to collect() the DataFrame before join

The broadcast() function tells Spark to send the small DataFrame to all worker nodes for efficient joining.

2fill in blank

medium

Complete the code to perform a broadcast join with a condition on 'id'.

Apache Spark

joined_df = large_df.join([1](small_df), large_df.id == small_df.id)

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

Abroadcast

Bcache

Cpersist

Dcollect

Attempts:

3 left

💡 Hint

Common Mistakes

Using cache() or persist() instead of broadcast()

Not wrapping the small DataFrame at all

broadcast() wraps the small DataFrame to optimize the join by sending it to all nodes.

3fill in blank

hard

Fix the error in the code to correctly broadcast the small DataFrame before join.

Apache Spark

from pyspark.sql.functions import broadcast
joined = large_df.join([1](small_df), 'id')

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

Apersist

Bcache

Cbroadcast

Dcollect

Attempts:

3 left

💡 Hint

Common Mistakes

Calling broadcast() after join() instead of before

Using cache() or persist() instead

broadcast() must wrap the small DataFrame before the join, not be called after join().

4fill in blank

hard

Fill both blanks to create a broadcast join and select columns from both DataFrames.

Apache Spark

from pyspark.sql.functions import [1]
result = large_df.join([2](small_df), 'id').select('large_col', 'small_col')

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

Abroadcast

Bcache

Cpersist

Dcollect

Attempts:

3 left

💡 Hint

Common Mistakes

Importing broadcast but not using it

Using different functions for import and usage

broadcast() is imported and used to wrap the small DataFrame for efficient join.

5fill in blank

hard

Fill all three blanks to broadcast the small DataFrame, join on 'id', and filter results.

Apache Spark

from pyspark.sql.functions import [1]
joined = large_df.join([2](small_df), 'id')
filtered = joined.filter(joined.[3] > 100)

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

Abroadcast

Bcache

Cvalue

Dpersist

Attempts:

3 left

💡 Hint

Common Mistakes

Using cache or persist instead of broadcast

Filtering on a non-existent column

broadcast() is imported and used to wrap small_df; 'value' is the column filtered on.