Optimized Parquet Compression Codecs

How can we configure columnar Parquet output with Snappy or ZSTD compression codecs for optimal storage and query speed?

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🤔 THE QUESTION

How can we configure columnar Parquet output with Snappy or ZSTD compression codecs for optimal storage and query speed?

💡 WHAT IS IT?

Setting spark.sql.parquet.compression.codec configures the compression algorithm balancing write speed and storage efficiency.

🎯 WHAT IS IT USED FOR?

Reducing enterprise cloud storage costs on multi-terabyte data lakes while maximizing read decompression performance.

💻 EXAMPLE

spark.conf.set("spark.sql.parquet.compression.codec", "snappy")
df.write.mode("overwrite").parquet("s3://lakehouse/gold/customers/")

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