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