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Write PySpark code to save a DataFrame in Parquet format to an S3 bucket.

Spark/Big Datamedium0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Carelon
Key Concepts Tested
partitionpythonspark
Expert AnswerPremium
51 wordsIncludes code examplesInterview-ready
**Code**: ```python df.write.mode("overwrite").parquet("s3://bucket-name/path/") # With options: .option("compression", "snappy").parquet(...) ``` **Production**: Dynamic partition overwrite. IAM roles (no keys). Partitioning. Compression (snappy/zstd). **Why IAM**: No credentials in code. Instance profile or assume role. **Scalability Trade-offs**: Partition by date/region. coalesce for file count. **Cost Implications**: S3 cost. Compression reduces storage....
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