commit | 509c4c04fbee043a59dfbe64fa65c31e328490b6 | [log] [tgz] |
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author | cxzl25 <3898450+cxzl25@users.noreply.github.com> | Fri Feb 02 01:48:01 2024 +0800 |
committer | GitHub <noreply@github.com> | Thu Feb 01 09:48:01 2024 -0800 |
tree | 056b02e46700404632884bff57597bcaab80c554 | |
parent | 3bca1a0081e6d27f53aeef4010c8d7f915ad8ce1 [diff] |
Add markdown images (#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 project includes ORC specifications and the protobuf definition. Apache ORC Format 1.0.0
is designed to be used for Apache ORC 2.0+
.
Releases:
The current build status:
Bug tracking: Apache ORC Format Issues
./mvnw install