hadoop2.2编程:DFS API 操作
1. Reading data from a hadoop URL
说明:想要让java从hadoop的dfs里读取数据,则java 必须能够识别hadoop hdfs URL schema, 因此我们应该将hdfs的FsUrlStreamHandlerFactory作为一个实例提供给java, java的setURLStreamHandlerFactory方法可以实现此功能;
注意:此方法有缺陷,由于在java里,setURLStreamHandlerFactorymethod在每一个JVM里只能调用一次,加入第三方component已经set a URLStreamHandlerFactory,则hadoop用户就不能使用setURLStreamHandlerFactory方法来reading data from hadoop。
简要提示:
1.[java.net.URL] methods: InputStream openStream() static void setURLStreamHandlerFactory(URLStreamHandlerFactory fac) 2.[org.apache2.hadoop.fs.FsUrlStreamHandlerFactory] method: public class FsUrlStreamHandlerFactory extends Object implements URLStreamHandlerFactory 3.[org.apache.hadoop.io.IOUtils] method: static void copyBytes(InputStream in, OutputStream out, long length, int bufferSize, boolean close)
代码:
import java.io.InputStream; import java.net.URL; import org.apache.hadoop.fs.FsUrlStreamHandlerFactory; import org.apache.hadoop.io.IOUtils; public class URLCat { static { URL.setURLStreamHandlerFactory(new FsUrlStreamHandlerFactory()); } public static void main(String[] args) throws Exception { InputStream in = null; try { in = new URL(args[0]).openStream(); IOUtils.copyBytes(in, System.out, 4096, false); } finally { IOUtils.closeStream(in); } } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $mkdir myclass $javac -cp $CLASSPATH URLCat.java -d myclass $jar -cvf urlcat.jar -C myclass ./ # assume we have a file bar.txt in hdfs: /user/grid/bar.txt # then we need run yarn with this command $yarn jar -cp urlcat.jar URLCat hdfs:///user/grid/bar.txt
2. Reading data using HDFS API
说明:使用hadoop的FileSystem API可以避免上面所述的JVM只能调用一次setURLStreamHandlerFactory的缺陷;
简要提示:
(1)org.apache.hadoop.conf.Configured |__ org.apache.hadoop.fs.FileSystem public abstract class FileSystem extends Configured implements Closeable [method]: static FileSystem get(URI uri, Configuration conf) FSDataInputStream open(Path f) (2)java.io.InputStream |__ java.io.FilterInputStream |__ java.io.DataInputStream |__ org.apache.hadoop.fs.FSDataInputStream public class FSDataInputStream extends DataInputStream implements Seekable, PositionedReadable, Closeable [methods]: void seek(long desired) long getPos() (3)org.apache.hadoop.fs public class Path extends Object implements Comparable [methods]: Path(String pathString) (4)java.net.URI public final class URI extends Object implements Comparable<URI>, Serializable [methods]: static URI create(String str)
代码:
import java.net.URI; import java.io.InputStream; import org.apache.hadoop.io.IOUtils; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.conf.Configuration; public class URICat { public static void main(String[] args) throws Exception { String uri = args[0]; Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(URI.create(uri), conf); InputStream in = null; try { in = fs.open(new Path(uri)); IOUtils.copyBytes(in, System.out, 4096, false); } finally { IOUtils.closeStream(in); } } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $mkdir myclass $javac -cp $CLASSPATH URICat.java -d myclass $jar -cvf uricat.jar -C myclass ./ $yarn jar -cp uricat.jar URICat /user/grid/bar.txt
备注1:因为我们调用了FileSystem的API,故输入的filepath也可以省略HDFS的URI全名hdfs://,如上面执行步骤里所写。
备注2:FileSystem是抽象类,故不能new FileSystem()来得到instance, 而需要调用其的静态方法get()来得到;
备注3:注意java里的向上转型,体现在简要提示里各种Stream的继承关系上;
备注4:Configuration conf = new Configuration();
Configurations需要xml文件里的键值对<name>x</name>来配置,规则为:
if x is named by a String, 则在classpath里检查同名文件;
if x is named by a Path, 则直接本地查找,不检查classpath;
若用户不指定,则默认调用两个resources: core-site.xml和core-default.xml
用户可以指定xml文件以添加自己定义的configurations:
conf.addResource("my_configuration.xml");
3. Writing data
3.1 从本地复制文件到hdfs
版本1 FileCopy with copyBytes() method
简要提示:
核心代码就一行,即从InputStrea 以二进制方式复制到OutputStream:
static void copyBytes(InputStream in, OutputStream out, int buffSize, boolean close)
我们新建一个FileInputStream(localsrc)实例, 将其暂存在BufferedInputStream()里,并向上转型生成InputStream:
FileInputStream(String name )
调用FileSystem来产生OutputStream:
FSDataOutputStream create(Path f, Progressable progress)
代码:
import java.net.URI; import java.io.InputStream; import java.io.BufferedInputStream; import java.io.FileInputStream; import java.io.OutputStream; import org.apache.hadoop.fs.BufferedFSInputStream; import org.apache.hadoop.util.Progressable; import org.apache.hadoop.util.Progressable; import org.apache.hadoop.io.IOUtils; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.conf.Configuration; public class FileCopyWithProgress { public static void main(String[] args) throws Exception { String localsrc = args[0]; String dst = args[1]; 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); } }
执行步骤:
$. $YARN_HOME/libexec/hadoop-config.sh $javac -cp $CLASSPATH -d my_class FileCopyWithProgress.java $jar -cvf filecopywithprogress.jar -C my_class/ . # assum we have a local file foo.out in directory: /home/grid/foo.out, then we should run yarn like below $yarn jar filecopywithprogress.jar FileCopyWithProgress /home/grid/foo.out hdfs:///user/grid/copied_foo.out # we can do a check for the copied file $hadoop fs -ls -R /user/grid/
注:从下面开始使用另一种方式来编译、运行代码
版本2 使用FileSystem的copyFromLocalFile()方法
代码如下:
import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.conf.Configuration; public class FileCopyFromLocal { public static void main(String[] args) throws Exception { String localSrc = args[0]; String dst = args[1]; Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf); fs.copyFromLocalFile(new Path(localSrc),new Path(dst)); } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $javac FileCopyFromLocal.java -d class/ $jar -cvf filecopyfromlocal.jar -C class ./ $export HADOOP_CLASSPATH=$CLASSPATH:filecopyfromlocal.jar # suppose we have a file bar.txt in local disk, then we use the following command line to copy it to hdfs $yarn FileCopyFromLocal bar.txt hdfs:///user/grid/kissyou # we can check the copied file on hdfs $hadoop fs -ls /user/grid/ grid supergroup -- : /user/grid/kissyou
3.2 新建文件夹/文件
新建文件夹 FileSystem.mkdirs()
代码如下:
import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; public class CreateDir { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); String dst = args[0]; FileSystem fs = FileSystem.get(conf); fs.mkdirs(new Path(dst)); } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $javac CreatDir.java -d class/ $jar -cvf createdir.jar -C class ./ $export HADOOP_CLASSPATH=$CLASSPATH:createdir.jar $yarn CreateDir hdfs:///user/grid/kissyou # we can check the created directory on hdfs $hadoop fs -ls /user/grid/ grid supergroup -- : /user/grid/kissyou
新建文件 FileSystem.create()
代码如下:
import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; public class CreateFile { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); String dst = args[0]; FileSystem fs = FileSystem.get(conf); fs.create(new Path(dst)); } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $javac CreatFile.java -d class/ $jar -cvf createfile.jar -C class ./ $export HADOOP_CLASSPATH=$CLASSPATH:createfile.jar $yarn CreatFile hdfs:///user/grid/kissyou.txt # we can check the created file on hdfs $hadoop fs -ls /user/grid/ grid supergroup -- : /user/grid/kissyou.txt
注意三点:
1. 同一路径下不可以新建同名的文件foo和目录foo/, 否则运行时会抛出异常:
fs.FileAlreadyExistsException
2. 我们进行copy复制、写文件操作时mkdirs()方法会被自动调用,故一般不会调用mkdirs()来手动创建目录;
3. 官方API文档里对mkdirs()的描述是:"Make the given file and all non-existent parents into directories", 所以在hadoop里创建文件的方法是recursive(递归的),相当于linux里的:
$mkdir -p foo/bar/qzx
同样等价于hdfs-shell里的命令:
%$YARN_HOME/bin/hadoop fs -mkdir -p hdfs:///foo/bar/qzx
4.Testing file and Getting fileStatus
提示: hadoop2.2中一些API已经deprecated, 现只列出本例中用到的已经deprecated的method,并给出最新的method.
deprecated APIs: (1)java.lang.Object |__ org.apache.hadoop.fs.FileStatu //deprecated method: boolean isDir() //Deprecated. Use isFile(), //isDirectory(), and isSymlink() instead. (2)java.lang.Object |__org.apache.hadoop.conf.Configured |__org.apache.hadoop.fs.FileSystem //deprecated methods: boolean isDirectory(Path f) //Deprecated. Use //getFileStatus() instead short getReplication(Path src) //Deprecated. Use //getFileStatus() instead long getLength(Path f) //Deprecated. Use //getFileStatus()instead
代码:
import java.net.URI; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileStatus; public class TestFileStatus { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf); FileStatus stat = fs.getFileStatus(new Path(args[0])); if (stat.isDirectory()) { System.out.println(stat.getPath().toUri().getPath() + " is a directory."); } else if (stat.isFile()) { System.out.println(stat.getPath().toUri().getPath() + " is a file."); System.out.println(stat.getPath().toUri().getPath() + " getBlockSize: " + stat.getBlockSize()); System.out.println(stat.getPath().toUri().getPath() + " getLen(): " + stat.getLen()); System.out.println(stat.getPath().toUri().getPath() + " getOwner(): " + stat.getOwner()); System.out.println(stat.getPath().toUri().getPath() + " getGroup(): " + stat.getGroup()); System.out.println(stat.getPath().toUri().getPath() + " getAccessTime(): " + stat.getAccessTime()); System.out.println(stat.getPath().toUri().getPath() + " getModificationTime(): " + stat.getModificationTime()); System.out.println(stat.getPath().toUri().getPath() + " getPermission(): " + stat.getPermission()); System.out.println(stat.getPath().toUri().getPath() + " hashcode(): " + stat.hashCode()); System.out.println(stat.getPath().toUri().getPath() + " getPath(): " + stat.getPath()); } } }
先给一个福利^_^, 利用下面我写的小脚本可以方便地编译并生成jar文件:
#!/usr/bin/env sh CWD=$(pwd) export CLASSPATH='' . $YARN_HOME/libexec/hadoop-config.sh if [ -d class ]; then rm -rf class/* else mkdir $CWD/class fi for f in $@ do srcs="$srcs $CWD/$f" done javac $srcs -d class if [ $? -ne 0 ] ;then echo Error found when compiling the code! exit 1 fi class=$( cat $1 |grep 'package'|sed -e "s/\(package\s\)\|\(;\)//g" ).$(echo $1 | sed -r 's/(.*).java/echo \1/ge') jarfile=$(echo $1 | sed -r 's/(.*)\.java/echo \L\1\.jar/ge') jar -cvf $CWD/$jarfile -C $CWD/class . > /dev/null 2>&1 #echo jar -cvf $jarfile -C class . echo -----------------CMD Lines----------------------- echo source $YARN_HOME/libexec/hadoop-config.sh >sourceIt.sh echo export HADOOP_CLASSPATH=$jarfile:'$CLASSPATH'>>sourceIt.sh echo source $CWD/sourceIt.sh echo yarn $class [command args]...
执行步骤:
注意,为了简化起见,脚本定义:
$./compack.sh args1 args2 args3...中args1为main class $ compack.sh $./compack.sh TestFileStatus.java #then the script will reminder you with the following message: -----------------CMD Lines------------------ source /home/grid/hadoop--src/hadoop-dist/target/hadoop-/task/DFSAPIProgramming/sourceIt.sh yarn TestFileStatus [command args]... $source sourceIt.sh # suppose we have a file "part-m-00000" in hdfs,run yarn like below $yarn TestFileStatus /user/hive/warehouse/footbl/part-m-
Output:
#output /user/hive/warehouse/footbl/part-m- is a file. /user/hive/warehouse/footbl/part-m- getBlockSize: /user/hive/warehouse/footbl/part-m- getLen(): /user/hive/warehouse/footbl/part-m- getOwner(): grid /user/hive/warehouse/footbl/part-m- getGroup(): supergroup /user/hive/warehouse/footbl/part-m- getAccessTime(): /user/hive/warehouse/footbl/part-m- getModificationTime(): /user/hive/warehouse/footbl/part-m- getPermission(): rw-r--r-- /user/hive/warehouse/footbl/part-m- hashcode(): /user/hive/warehouse/footbl/part-m- getPath(): hdfs://cluster1:9000/user/hive/warehouse/footbl/part-m-00000
5. Listing files & glob files
Listing files
代码:
import java.net.URI; import org.apache.hadoop.fs.FileUtil; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.Path; import org.apache.hadoop.conf.Configuration; public class ListFiles { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf); Path[] paths = new Path[args.length]; for(int i = 0; i < args.length; i++) { paths[i] = new Path(args[i]); } FileStatus[] status = fs.listStatus(paths); Path[] pathList = FileUtil.stat2Paths(status); for(Path p : pathList) { System.out.println(p); } } }
执行步骤:
$./compack.sh ListFiles.java $source sourceIt.s $yarn ListFiles /user/hive/warehouse/footbl /user/grid/
output:
hdfs://cluster1:9000/user/hive/warehouse/footbl/_SUCCESS hdfs://cluster1:9000/user/hive/warehouse/footbl/part-m-00000 hdfs://cluster1:9000/user/grid/kiss hdfs://cluster1:9000/user/grid/kissyou hdfs://cluster1:9000/user/grid/missyou
Filter files
提示:
1. java.lang.Object |__ org.apache.hadoop.conf.Configured |__ org.apache.hadoop.fs.FileSystem public abstract class FileSystem extends Configured implements Closeable //method: FileStatus[] globStatus(Path pathPattern, PathFilter filter) 2. org.apache.hadoop.fs public interface PathFilter //method: boolean accept(Path path)
代码:
package org.apache.hadoop.MyCode; import org.apache.hadoop.fs.PathFilter; import org.apache.hadoop.fs.Path; public class MyFilter implements PathFilter { private final String regex; public MyFilter(String regex) { this.regex = regex; } public boolean accept(Path path) { return path.toString().matches(regex); } }
package org.apache.hadoop.MyCode; import org.apache.hadoop.MyCode.MyFilter; import java.net.URI; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.FileUtil; import org.apache.hadoop.conf.Configuration; public class ListStatusWithPattern { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf); FileStatus[] status = fs.globStatus(new Path(args[0]), new MyFilter(args[1])); Path[] pathList = FileUtil.stat2Paths(status); for( Path p : pathList ) { System.out.println(p); } } }
执行步骤:
$source $YARN_HOME/libexec/hadoop-config.sh $mkdir class $javac ListStatusWithPattern.java MyFilter.java -d class $jar -cvf liststatuswithpattern.jar -C class ./ $export HADOOP_CLASSPATH=liststatuswithpattern.jar:$CLASSPATH #suppose we have four files in hdfs like below $hadoop fs -ls /user/grid/ Found items drwxr-xr-x - grid supergroup -- : /user/grid/kiss -rw-r--r-- grid supergroup -- : /user/grid/kissyou drwxr-xr-x - grid supergroup -- : /user/grid/miss -rw-r--r-- grid supergroup -- : /user/grid/missyou # then we can run the command to filter the matched file $yarn jar liststatuswithpattern.jar org.apache.hadoop.MyCode.ListStatusWithPattern "hdfs:///user/grid/*ss*" "^.*grid/[k].*$
或者可以使用前面给出的脚本编译、打包并生成主要的执行yarn的代码:
$./compack.sh ListStatusWithPattern.java MyFilter.java #注意,脚本默认输入的第一个源文件为main class所在文件 $source source /home/grid/hadoop--src/hadoop-dist/target/hadoop-/task/DFSAPIProgramming/sourceIt.sh -----------------CMD Lines----------------------- source /home/grid/hadoop--src/hadoop-dist/target/hadoop-/task/DFSAPIProgramming/sourceIt.sh yarn org.apache.hadoop.MyCode.MyFilter [command args]... $yarn org.apache.hadoop.MyCode.ListStatusWithPattern "hdfs:///user/grid/*ss*" "^.*grid/[k].*$" output: hdfs://cluster1:9000/user/grid/kiss hdfs://cluster1:9000/user/grid/kissyou
(完)
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