ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but wi...
Dernière publication sur nullBenchmarks for comparing ORC, Parquet, and Avro performance.
Dernière publication sur mai 08, 2017The core reader and writer for ORC files. Uses the vectorized column batch for the in memory representation.
Dernière publication sur nullORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, ...
Dernière publication sur nullAn implementation of Hadoop's mapred and mapreduce input and output formats for ORC files. They use the core reader and writer, but present the...
Dernière publication sur nullA shim layer for supporting various versions of Hadoop dynamically. This module uses a higher version of Hadoop so that we can create shims ...
Dernière publication sur null