Parquet is an open source file format built to handle flat columnar storage data formats. Parquet operates well with complex data in large volumes.It is known for its both performant data compression and its ability to handle a wide variety of encoding types.
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Apache Parquet
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Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing... Wikipedia
Initial release date: March 13, 2013
Stable release: 2.9.0 / 6 October 2021; 2 years ago
Written in: Java (reference implementation)
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and ...
Apr 20, 2023 · Columnar: Unlike row-based formats such as CSV or Avro, Apache Parquet is column-oriented – meaning the values of each table column are stored ...
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides high performance compression ...
Parquet file format is a columnar storage format, which means that data for each column is stored together. The storage mechanism enables better compression ...
Parquet is a columnar format that stores the data in row groups! · Row store – the engine needs to scan all 5 columns and all 6 rows · Column store – the engine ...