Project liborc-2.0.6-1.el10_0
| Name | liborc |
|---|---|
| Epoch | 0 |
| Version | 2.0.6 |
| Release | 1.el10_0 |
| Website/URL | http://orc.apache.org/ |
| License | Apache-2.0 |
| Build Time | 2025-09-09 09:07:20 |
| Build Host | builder-x86-05.inferitos.ru |
| Summary | Library for producing small, fast columnar storage for Hadoop workloads |
| Repositories | Extras |
| Description | 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. |
| Errata | — |
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Found 1 old version
| Package | Summary | SHA-256 checksum |
|---|---|---|
| x86_64 | ||
| liborc-devel-2.0.6-1.el10_0.x86_64 | Header files, libraries and development documentation for liborc | 93d7875dd9292585651a52d56f2dcdb9cb56d46278e560675cdaddd4df283a57 |
| liborc2-2.0.6-1.el10_0.x86_64 | Library for producing small, fast columnar storage for Hadoop workloads | b0e276e99fd61f644da4b2bb5d9696f03eede73ea13eed3ddab3a7cc75c94d8b |
| aarch64 | ||
| liborc-devel-2.0.6-1.el10_0.aarch64 | Header files, libraries and development documentation for liborc | 861be2e1e24c6d1ef9fd4b20e0c620906436da8090b63604b4a79f73706a6325 |
| liborc2-2.0.6-1.el10_0.aarch64 | Library for producing small, fast columnar storage for Hadoop workloads | d59de1ae30bccb425f7842d6b707950abfa3bc5f28162cde775fc18728743566 |
| src | ||
| liborc-2.0.6-1.el10_0.src | Library for producing small, fast columnar storage for Hadoop workloads | e99998bbca2d53cec3ce6d0fe685e143bc7c737c0ce3cda85717200a7596f760 |