ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but wi...
La última Versión de nullBenchmarks for comparing ORC, Parquet, and Avro performance.
La última Versión de may. 08, 2017The core reader and writer for ORC files. Uses the vectorized column batch for the in memory representation.
La última Versión de nullORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, ...
La última Versión de 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...
La última Versión de nullA shim layer for supporting various versions of Hadoop dynamically. This module uses a higher version of Hadoop so that we can create shims ...
La última Versión de null