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Parquet is a column storage file format designed for efficient processing of large-scale data, particularly suitable for analytical workloads. It optimizes storage efficiency through compression and encoding, and supports complex data structures. Widely used in big data frameworks such as Hadoop, Spark, Hive, etc., it has become a commonly used format in the field of big data due to its efficient read performance and storage savings.
Description
Parquet is a column storage file format designed for efficient processing of large-scale data, particularly suitable for analytical workloads. It optimizes storage efficiency through compression and encoding, and supports complex data structures. Widely used in big data frameworks such as Hadoop, Spark, Hive, etc., it has become a commonly used format in the field of big data due to its efficient read performance and storage savings.
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