大数据存储格式parquet是怎样的

Parquet is a column-oriented file format that is widely used in the Hadoop ecosystem. It is similar to the ORC file format, but is more efficient in terms of storage and performance.

Parquet uses a columnar storage format, which means that data is stored in columns instead of rows. This allows for better compression and performance when querying data. Parquet also supports schema evolution, which means that the schema of a Parquet file can be changed over time.

Parquet is a popular file format for storing data in the Hadoop ecosystem. It is used by many big data applications, such as Apache Spark, Apache Hive, and Apache Impala.

If you have any questions about Parquet, please feel free to ask in the comments section below.