You want to optimize storage by compressing Parquet files with Snappy codec and also ensure schema evolution compatibility. Which approach is best?

hard📝 Application Q9 of 15

Hadoop - Performance Tuning

AWrite Parquet files with snappy compression and use Avro schema for evolution

BWrite Parquet files with gzip compression and no schema

CWrite ORC files with snappy compression and no schema

DWrite Avro files with snappy compression and no schema

Step-by-Step Solution

Solution:

Step 1: Understand compression and schema evolution
Snappy compression is fast and commonly used with Parquet. Avro schemas help with schema evolution.
Step 2: Evaluate options
Write Parquet files with snappy compression and use Avro schema for evolution combines Parquet with snappy and Avro schema for evolution. Others either lack schema or use wrong formats.
Final Answer:
Write Parquet files with snappy compression and use Avro schema for evolution -> Option A
Quick Check:
Snappy + Avro schema = best for Parquet evolution [OK]

Quick Trick: Use snappy compression and Avro schema for Parquet evolution [OK]

Common Mistakes:

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