==> 什么是parquet Parquet 是列式存储的一种文件类型 ==> 官网描述: Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language 无
When Vectorization is turned on in Hive:set hive.vectorized.execution.enabled=true;If the involved table is in parquet rather than orc format, you may see below error.This error appears in both "tez" and "mr" engine.Solution: Disable v
import org.apache.spark.SparkConfimport org.apache.spark.SparkContextimport org.apache.spark.sql.SQLContext object startScala { def main(args: Array[String]): Unit ={ val conf = new SparkConf() .setAppName("QJZK") .setMaster("local") v
http://parquet.apache.org 层次结构: file -> row groups -> column chunks -> pages(data/index/dictionary) Motivation We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop