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Answer: Apply file concatenation or bucketing strategies to reduce the number of small files, thereby decreasing I/O operations and enhancing query performance.
The BEST solution to optimize the performance of a Spark Structured Streaming job affected by 'smalls' is to use file concatenation or bucketing. File concatenation merges multiple small files into larger ones, reducing the overhead of I/O operations. Bucketing organizes data into a predefined number of buckets, which can significantly decrease the number of small files and improve query performance. This approach is cost-efficient, complies with data governance by maintaining data organization, and scales well with increasing data volumes. Option A, while improving parallelism, does not directly address the small files issue. Option B may reduce the impact but does not solve the root cause and could delay data processing. Option D is unrelated to the small files problem and focuses on task execution speed.
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You are tasked with optimizing the performance of a Spark Structured Streaming job that processes a large dataset. The job is experiencing performance degradation due to the presence of numerous small files ('smalls'). Considering the constraints of cost efficiency, compliance with data governance policies, and the need for scalability, which of the following solutions is the BEST to address this issue? Choose one option.
A
Implement dynamic partition discovery to automatically adjust the number of partitions based on the dataset size, aiming to improve parallelism and query performance.
B
Configure the streaming job to use a larger batch interval, reducing the frequency of file processing to minimize the impact of small files on performance.
C
Apply file concatenation or bucketing strategies to reduce the number of small files, thereby decreasing I/O operations and enhancing query performance.
D
Enable speculative execution to automatically detect and mitigate the performance issues caused by small files by running additional tasks for slow-running partitions.
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