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.

#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.

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