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