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apache / orc / b0dc08bb19842188e5245d1d30b64a32ca955ec3
commitb0dc08bb19842188e5245d1d30b64a32ca955ec3[log] [tgz]
authorOwen O'Malley <omalley@apache.org>Wed May 25 16:38:15 2016 -0700
committerOwen O'Malley <omalley@apache.org>Wed May 25 16:48:16 2016 -0700
tree6cd565f86856902a396848a7bd64faa11fc988d5
parentf949799c9a57ab6d712b45536c44ab417d6ed829 [diff]
ORC-59. Change the version of the storage-api to 2.1.0-pre-orc. (omalley
reviewed by gates)

Fixes #28

Signed-off-by: Owen O'Malley <omalley@apache.org>
5 files changed
tree: 6cd565f86856902a396848a7bd64faa11fc988d5
  1. c++/
  2. docker/
  3. examples/
  4. java/
  5. proto/
  6. site/
  7. tools/
  8. .gitignore
  9. .travis.yml
  10. appveyor.yml
  11. CMakeLists.txt
  12. LICENSE
  13. NOTICE
  14. README.md
README.md

Apache ORC

ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query. Because ORC files are type-aware, the writer chooses the most appropriate encoding for the type and builds an internal index as the file is written. Predicate pushdown uses those indexes to determine which stripes in a file need to be read for a particular query and the row indexes can narrow the search to a particular set of 10,000 rows. ORC supports the complete set of types in Hive, including the complex types: structs, lists, maps, and unions.

ORC File C++ Library

This library allows C++ programs to read and write the Optimized Row Columnar (ORC) file format.

Build Status Build status

Building

-To compile:
% mkdir build
% cd build
% cmake ..
% make package
% make test-out