What types of data storage formats are supported in Hive?
Supported data storage formats in Hive include:
- Text file format: save data as a text file format, with each line representing a record and fields separated by delimiters.
- Sequence file format: a binary file format that allows for more efficient storage and retrieval of data.
- RCFile format: a columnar storage format that enables more efficient processing of queries.
- ORC file format (Optimized Row Columnar): An efficient columnar storage format that supports compression and indexing.
- Parquet file format: a compressed and column-oriented storage format, suitable for big data processing.
- Avro file format: a binary data serialization format that supports dynamic data schema and compression.
- JSON file format: a commonly used text data format that can be used to store semi-structured data.
- CSV file format: a commonly used text data format, with fields separated by commas, suitable for storing structured data.
These data storage formats can be selected based on actual needs to store data and perform query and analysis operations in Hive.