Java访问Hadoop分布式文件系统HDFS的配置说明
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2024-03-12 13:53:20
配置文件
m103替换为hdfs服务地址。
要利用java客户端来存取hdfs上的文件，不得不说的是配置文件hadoop-0.20.2/conf/core-site.x...
配置文件
m103替换为hdfs服务地址。
要利用java客户端来存取hdfs上的文件，不得不说的是配置文件hadoop-0.20.2/conf/core-site.xml了，最初我就是在这里吃了大亏，所以我死活连不上hdfs，文件无法创建、读取。
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <!--- global properties --> <property> <name>hadoop.tmp.dir</name> <value>/home/zhangzk/hadoop</value> <description>a base for other temporary directories.</description> </property> <!-- file system properties --> <property> <name>fs.default.name</name> <value>hdfs://linux-zzk-113:9000</value> </property> </configuration>
配置项：hadoop.tmp.dir表示命名节点上存放元数据的目录位置，对于数据节点则为该节点上存放文件数据的目录。
配置项：fs.default.name表示命名的ip地址和端口号,缺省值是file:///，对于javaapi来讲，连接hdfs必须使用这里的配置的url地址，对于数据节点来讲，数据节点通过该url来访问命名节点。
hdfs-site.xml
<?xml version="1.0" encoding="utf-8"?> <!--autogenerated by cloudera manager--> <configuration> <property> <name>dfs.namenode.name.dir</name> <value>file:///mnt/sdc1/dfs/nn</value> </property> <property> <name>dfs.namenode.servicerpc-address</name> <value>m103:8022</value> </property> <property> <name>dfs.https.address</name> <value>m103:50470</value> </property> <property> <name>dfs.https.port</name> <value>50470</value> </property> <property> <name>dfs.namenode.http-address</name> <value>m103:50070</value> </property> <property> <name>dfs.replication</name> <value>3</value> </property> <property> <name>dfs.blocksize</name> <value>134217728</value> </property> <property> <name>dfs.client.use.datanode.hostname</name> <value>false</value> </property> <property> <name>fs.permissions.umask-mode</name> <value>022</value> </property> <property> <name>dfs.namenode.acls.enabled</name> <value>false</value> </property> <property> <name>dfs.block.local-path-access.user</name> <value>cloudera-scm</value> </property> <property> <name>dfs.client.read.shortcircuit</name> <value>false</value> </property> <property> <name>dfs.domain.socket.path</name> <value>/var/run/hdfs-sockets/dn</value> </property> <property> <name>dfs.client.read.shortcircuit.skip.checksum</name> <value>false</value> </property> <property> <name>dfs.client.domain.socket.data.traffic</name> <value>false</value> </property> <property> <name>dfs.datanode.hdfs-blocks-metadata.enabled</name> <value>true</value> </property> <property> <name>fs.http.impl</name> <value>com.scistor.datavision.fs.httpfilesystem</value> </property> </configuration>
mapred-site.xml
<?xml version="1.0" encoding="utf-8"?> <!--autogenerated by cloudera manager--> <configuration> <property> <name>mapreduce.job.split.metainfo.maxsize</name> <value>10000000</value> </property> <property> <name>mapreduce.job.counters.max</name> <value>120</value> </property> <property> <name>mapreduce.output.fileoutputformat.compress</name> <value>true</value> </property> <property> <name>mapreduce.output.fileoutputformat.compress.type</name> <value>block</value> </property> <property> <name>mapreduce.output.fileoutputformat.compress.codec</name> <value>org.apache.hadoop.io.compress.snappycodec</value> </property> <property> <name>mapreduce.map.output.compress.codec</name> <value>org.apache.hadoop.io.compress.snappycodec</value> </property> <property> <name>mapreduce.map.output.compress</name> <value>true</value> </property> <property> <name>zlib.compress.level</name> <value>default_compression</value> </property> <property> <name>mapreduce.task.io.sort.factor</name> <value>64</value> </property> <property> <name>mapreduce.map.sort.spill.percent</name> <value>0.8</value> </property> <property> <name>mapreduce.reduce.shuffle.parallelcopies</name> <value>10</value> </property> <property> <name>mapreduce.task.timeout</name> <value>600000</value> </property> <property> <name>mapreduce.client.submit.file.replication</name> <value>1</value> </property> <property> <name>mapreduce.job.reduces</name> <value>24</value> </property> <property> <name>mapreduce.task.io.sort.mb</name> <value>256</value> </property> <property> <name>mapreduce.map.speculative</name> <value>false</value> </property> <property> <name>mapreduce.reduce.speculative</name> <value>false</value> </property> <property> <name>mapreduce.job.reduce.slowstart.completedmaps</name> <value>0.8</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>m103:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>m103:19888</value> </property> <property> <name>mapreduce.jobhistory.webapp.https.address</name> <value>m103:19890</value> </property> <property> <name>mapreduce.jobhistory.admin.address</name> <value>m103:10033</value> </property> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>yarn.app.mapreduce.am.staging-dir</name> <value>/user</value> </property> <property> <name>mapreduce.am.max-attempts</name> <value>2</value> </property> <property> <name>yarn.app.mapreduce.am.resource.mb</name> <value>2048</value> </property> <property> <name>yarn.app.mapreduce.am.resource.cpu-vcores</name> <value>1</value> </property> <property> <name>mapreduce.job.ubertask.enable</name> <value>false</value> </property> <property> <name>yarn.app.mapreduce.am.command-opts</name> <value>-djava.net.preferipv4stack=true -xmx1717986918</value> </property> <property> <name>mapreduce.map.java.opts</name> <value>-djava.net.preferipv4stack=true -xmx1717986918</value> </property> <property> <name>mapreduce.reduce.java.opts</name> <value>-djava.net.preferipv4stack=true -xmx2576980378</value> </property> <property> <name>yarn.app.mapreduce.am.admin.user.env</name> <value>ld_library_path=$hadoop_common_home/lib/native:$java_library_path</value> </property> <property> <name>mapreduce.map.memory.mb</name> <value>2048</value> </property> <property> <name>mapreduce.map.cpu.vcores</name> <value>1</value> </property> <property> <name>mapreduce.reduce.memory.mb</name> <value>3072</value> </property> <property> <name>mapreduce.reduce.cpu.vcores</name> <value>1</value> </property> <property> <name>mapreduce.application.classpath</name> <value>$hadoop_mapred_home/*,$hadoop_mapred_home/lib/*,$mr2_classpath,$cdh_hcat_home/share/hcatalog/*,$cdh_hive_home/lib/*,/etc/hive/conf,/opt/cloudera/parcels/cdh/lib/udps/*</value> </property> <property> <name>mapreduce.admin.user.env</name> <value>ld_library_path=$hadoop_common_home/lib/native:$java_library_path</value> </property> <property> <name>mapreduce.shuffle.max.connections</name> <value>80</value> </property> </configuration>
利用javaapi来访问hdfs的文件与目录
package com.demo.hdfs;
import java.io.bufferedinputstream;
import java.io.fileinputstream;
import java.io.filenotfoundexception;
import java.io.fileoutputstream;
import java.io.ioexception;
import java.io.inputstream;
import java.io.outputstream;
import java.net.uri;
import org.apache.hadoop.conf.configuration;
import org.apache.hadoop.fs.fsdatainputstream;
import org.apache.hadoop.fs.fsdataoutputstream;
import org.apache.hadoop.fs.filestatus;
import org.apache.hadoop.fs.filesystem;
import org.apache.hadoop.fs.path;
import org.apache.hadoop.io.ioutils;
import org.apache.hadoop.util.progressable;
/**
* @author zhangzk
*
*/
public class filecopytohdfs {
public static void main(string[] args) throws exception {
try {
//uploadtohdfs();
//deletefromhdfs();
//getdirectoryfromhdfs();
appendtohdfs();
readfromhdfs();
} catch (exception e) {
// todo auto-generated catch block
e.printstacktrace();
}
finally
{
system.out.println("success");
}
}
/**上传文件到hdfs上去*/
private static void uploadtohdfs() throws filenotfoundexception,ioexception {
string localsrc = "d://qq.txt";
string dst = "hdfs://192.168.0.113:9000/user/zhangzk/qq.txt";
inputstream in = new bufferedinputstream(new fileinputstream(localsrc));
configuration conf = new configuration();
filesystem fs = filesystem.get(uri.create(dst), conf);
outputstream out = fs.create(new path(dst), new progressable() {
public void progress() {
system.out.print(".");
}
});
ioutils.copybytes(in, out, 4096, true);
}
/**从hdfs上读取文件*/
private static void readfromhdfs() throws filenotfoundexception,ioexception {
string dst = "hdfs://192.168.0.113:9000/user/zhangzk/qq.txt";
configuration conf = new configuration();
filesystem fs = filesystem.get(uri.create(dst), conf);
fsdatainputstream hdfsinstream = fs.open(new path(dst));
outputstream out = new fileoutputstream("d:/qq-hdfs.txt");
byte[] iobuffer = new byte[1024];
int readlen = hdfsinstream.read(iobuffer);
while(-1 != readlen){
out.write(iobuffer, 0, readlen);
readlen = hdfsinstream.read(iobuffer);
}
out.close();
hdfsinstream.close();
fs.close();
}
/**以append方式将内容添加到hdfs上文件的末尾;注意：文件更新，需要在hdfs-site.xml中添<property><name>dfs.append.support</name><value>true</value></property>*/
private static void appendtohdfs() throws filenotfoundexception,ioexception {
string dst = "hdfs://192.168.0.113:9000/user/zhangzk/qq.txt";
configuration conf = new configuration();
filesystem fs = filesystem.get(uri.create(dst), conf);
fsdataoutputstream out = fs.append(new path(dst));
int readlen = "zhangzk add by hdfs java api".getbytes().length;
while(-1 != readlen){
out.write("zhangzk add by hdfs java api".getbytes(), 0, readlen);
}
out.close();
fs.close();
}
/**从hdfs上删除文件*/
private static void deletefromhdfs() throws filenotfoundexception,ioexception {
string dst = "hdfs://192.168.0.113:9000/user/zhangzk/qq-bak.txt";
configuration conf = new configuration();
filesystem fs = filesystem.get(uri.create(dst), conf);
fs.deleteonexit(new path(dst));
fs.close();
}
/**遍历hdfs上的文件和目录*/
private static void getdirectoryfromhdfs() throws filenotfoundexception,ioexception {
string dst = "hdfs://192.168.0.113:9000/user/zhangzk";
configuration conf = new configuration();
filesystem fs = filesystem.get(uri.create(dst), conf);
filestatus filelist[] = fs.liststatus(new path(dst));
int size = filelist.length;
for(int i = 0; i < size; i++){
system.out.println("name:" + filelist[i].getpath().getname() + "/t/tsize:" + filelist[i].getlen());
}
fs.close();
}
}
注意：对于append操作，从hadoop-0.21版本开始就不支持了，关于append的操作可以参考javaeye上的一篇文档。