What strategy does Parquet use to enhance query performance on columnar data in Hadoop?
- Compression
- Data Encoding
- Indexing
- Predicate Pushdown
Parquet enhances query performance through Predicate Pushdown. This strategy involves pushing parts of the query execution directly to the storage layer, reducing the amount of data that needs to be processed by the query engine. This is particularly effective for columnar data storage, like Parquet, where only relevant columns are read during query execution.
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