Understanding partitions in Apache Spark - Interactive Quiz & Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to get the number of partitions in the DataFrame.

Apache Spark

num_partitions = df.rdd.[1]

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Acount

BgetNumPartitions

Cpartitions

DnumPartitions

Attempts:

3 left

💡 Hint

Common Mistakes

Using a method name instead of the property.

Trying to call a method that doesn't exist.

The numPartitions property gives the number of partitions in the RDD underlying the DataFrame.

2fill in blank

medium

Complete the code to repartition the DataFrame into 4 partitions.

Apache Spark

df_repart = df.[1](4)

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ApartitionBy

Bcoalesce

Crepartition

Dsplit

Attempts:

3 left

💡 Hint

Common Mistakes

Using coalesce which only reduces partitions without shuffle.

Using partitionBy which is for writing files.

The repartition() method reshuffles the data into the specified number of partitions.

3fill in blank

hard

Fix the error in the code to reduce partitions without full shuffle.

Apache Spark

df_less = df.[1](2)

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Acoalesce

BpartitionBy

Crepartition

Dsplit

Attempts:

3 left

💡 Hint

Common Mistakes

Using repartition which causes a full shuffle.

Using partitionBy which is not for repartitioning in memory.

The coalesce() method reduces the number of partitions without a full shuffle, making it efficient.

4fill in blank

hard

Fill both blanks to create a dictionary with word lengths for words longer than 3 characters.

Apache Spark

lengths = {word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using the wrong comparison operator.

The dictionary comprehension maps each word to its length if the word length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values for words longer than 4.

Apache Spark

result = { [1]: [2] for w in words if len(w) [3] 4 }

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Aw.upper()

Blen(w)

C>

Dw.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase instead of uppercase for keys.

Using the wrong comparison operator.

Swapping keys and values.

This dictionary comprehension creates keys as uppercase words and values as their lengths, filtering words longer than 4 characters.