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