Apache ORC Data Serialization
Apache ORC is a high-performance columnar storage format for Hadoop workloads. It supports complex data types, including nested data structures and column-level statistics.
- Since:2013
- Docs:orc.apache.org
- Github Topic:apache-orc
- Official:orc.apache.org
- Reddit:r/ApacheORC
- Repository:github.com
- Twitter:@ApacheORC
- Wikipedia:Apache_ORC
#What is Apache ORC?
Apache ORC (Optimized Row Columnar) Data Serialization is an open-source columnar storage format designed for efficient data processing in Hadoop-based big data systems. It provides a highly efficient way of storing and processing large-scale data sets while reducing I/O and CPU overhead. ORC is an evolution of the RCFile format that was designed for use in Hive, a data warehouse infrastructure built on top of Hadoop.
#Apache ORC Key Features
Most recognizable Apache ORC features include:
- ORC uses a columnar storage layout, which provides better compression and improved performance by storing data of the same type together.
- ORC supports advanced compression techniques such as Zlib, Snappy, and LZO, which can reduce data storage requirements and improve query performance.
- ORC supports predicate pushdown, which can reduce the amount of data that needs to be read during query execution, resulting in faster query processing times.
- ORC supports schema evolution, which allows for the addition or modification of columns in a table without the need to rewrite the entire table.
- ORC provides a range of APIs and tools for working with ORC data in various programming languages, including Java, C++, and Python.
- ORC provides support for ACID transactions, which ensures that data modifications are atomic, consistent, isolated, and durable.
#Apache ORC Use-Cases
Apache ORC Data Serialization is used in various industries and applications, including:
- Big data processing and analytics
- Data warehousing and ETL (Extract, Transform, Load) processes
- Machine learning and AI applications
- Log and event processing
- Cloud-native applications and distributed systems
- Financial services and healthcare industries
#Apache ORC Summary
Apache ORC Data Serialization is an open-source columnar storage format optimized for Hadoop-based big data systems, designed to provide high compression rates, efficient query processing, schema evolution, and ACID transactions.
