微信搜索bigdata029 | 邀请体验：数阅–数据管理、OLAP分析与可视化平台 | 订阅本站 | 赞助作者：赞助作者
Java API 读取Hive Orc文件
Hadoop [email protected] 2年前 (2015-08-18) 4508℃ 0评论
关键字：Hive Orc、Java API 读取Hive OrcFile
Orc是Hive特有的一种列式存储的文件格式，它有着非常高的压缩比和读取效率，因此很快取代了之前的RCFile，成为Hive中非常常用的一种文件格式。
在实际业务场景中，可能需要使用Java API，或者MapReduce读写Orc文件。
本文先介绍使用Java API读取Hive Orc文件。
在Hive中已有一张Orc格式存储的表lxw1234:
Hive Orc
该表有四个字段：url、word、freq、weight，类型均为string；
数据只有5条：
Hive Orc
下面的代码，从表lxw1234对应的HDFS路径中使用API直接读取Orc文件：
package com.lxw1234.test;
import java.util.List;
import java.util.Properties;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat;
import org.apache.hadoop.hive.ql.io.orc.OrcSerde;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.InputFormat;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RecordReader;
import org.apache.hadoop.mapred.Reporter;
/**
* lxw的大数据田地 – http://lxw1234.com
* @author lxw.com
*
*/
public class TestOrcReader {
public static void main(String[] args) throws Exception { JobConf conf = new JobConf(); Path testFilePath = new Path(args[0]); Properties p = new Properties(); OrcSerde serde = new OrcSerde(); p.setProperty("columns", "url,word,freq,weight"); p.setProperty("columns.types", "string:string:string:string"); serde.initialize(conf, p); StructObjectInspector inspector = (StructObjectInspector) serde.getObjectInspector(); InputFormat in = new OrcInputFormat(); FileInputFormat.setInputPaths(conf, testFilePath.toString()); InputSplit[] splits = in.getSplits(conf, 1); System.out.println("splits.length==" + splits.length); conf.set("hive.io.file.readcolumn.ids", "1"); RecordReader reader = in.getRecordReader(splits[0], conf, Reporter.NULL); Object key = reader.createKey(); Object value = reader.createValue(); List<? extends StructField> fields = inspector.getAllStructFieldRefs(); long offset = reader.getPos(); while(reader.next(key, value)) { Object url = inspector.getStructFieldData(value, fields.get(0)); Object word = inspector.getStructFieldData(value, fields.get(1)); Object freq = inspector.getStructFieldData(value, fields.get(2)); Object weight = inspector.getStructFieldData(value, fields.get(3)); offset = reader.getPos(); System.out.println(url + "|" + word + "|" + freq + "|" + weight); } reader.close();}}
将上面的代码打包成orc.jar；
在Hadoop客户端机器上运行命令：
export HADOOP_CLASSPATH=/usr/local/apache-hive-0.13.1-bin/lib/hive-exec-0.13.1.jar:$HADOOP_CLASSPATH
hadoop jar orc.jar com.lxw1234.test.TestOrcReader /hivedata/warehouse/liuxiaowen.db/lxw1234/
运行结果如下：
[liuxiaowen@dev tmp]$ hadoop jar orc.jar com.lxw1234.test.TestOrcReader /hivedata/warehouse/liuxiaowen.db/lxw1234/
15/08/18 17:03:37 INFO log.PerfLogger:
15/08/18 17:03:38 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
15/08/18 17:03:38 INFO orc.OrcInputFormat: FooterCacheHitRatio: 0/1
15/08/18 17:03:38 INFO log.PerfLogger:
splits.length==1
15/08/18 17:03:38 INFO orc.ReaderImpl: Reading ORC rows from hdfs://cdh5/hivedata/warehouse/liuxiaowen.db/lxw1234/000000_0 with {include: null, offset: 0, length: 712}