ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but wi...
Pēdējās Atbrīvošanu no nullBenchmarks for comparing ORC, Parquet, and Avro performance.
Pēdējās Atbrīvošanu no maijs 08, 2017The core reader and writer for ORC files. Uses the vectorized column batch for the in memory representation.
Pēdējās Atbrīvošanu no nullORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, ...
Pēdējās Atbrīvošanu no 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...
Pēdējās Atbrīvošanu no nullA shim layer for supporting various versions of Hadoop dynamically. This module uses a higher version of Hadoop so that we can create shims ...
Pēdējās Atbrīvošanu no null