| commit | eaadb0c6ef7da37bbec7ec33a2690bb7b1c8b8c0 | [log] [tgz] |
|---|---|---|
| author | Owen O'Malley <omalley@apache.org> | Wed Jan 20 12:19:44 2016 -0800 |
| committer | Owen O'Malley <omalley@apache.org> | Wed Jan 20 13:59:34 2016 -0800 |
| tree | d28af4cabfed2ed4c6e15e36ca3d18b9097b56d4 | |
| parent | aad3581bc9f66d8f16eacaf87949f743e548f20d [diff] |
ORC-38. Fix compilation issues on RHEL 5. Signed-off-by: Owen O'Malley <omalley@apache.org> Fixes apache/orc#16
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.
This library allows C++ programs to read and write the Optimized Row Columnar (ORC) file format.
-To compile: % export TZ=America/Los_Angeles % mkdir build % cd build % cmake .. % make % make test-out