;import org.apache.hadoop.fs.FSDataInputStream;import org.apache.hadoop.fs.FileStatus;import org.apache.hadoop.fs.FileSystem...;import org.apache.hadoop.fs.Path;import org.apache.hadoop.hdfs.DistributedFileSystem;public class TestConnectHadoop...将所有的数据读取出来存储起来，然后根据换行符进行拆分，将拆分的字符串数组存储起来，用于readline返回 Java代码 import org.apache.hadoop.fs.FSDataInputStream...lines[count++] : null;} } 测试类： import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.fs.FSDataInputStream...;import org.apache.hadoop.fs.FileStatus;import org.apache.hadoop.fs.FileSystem;import org.apache.hadoop.fs.Path
在java中调用sqoop接口进行mysql和hdfs直接数据传输时，遇到以下错误： Found interface org.apache.hadoop.mapreduce.JobContext, but...class was expected 这里需要注意，sqoop有两个版本： sqoop-1.4.4.bin__hadoop-1.0.0.tar.gz（对应hadoop1版本） sqoop-1.4.4....bin__hadoop-2.0.4-alpha.tar.gz（对应hadoop2版本） 出现上面的错误就是hadoop和对应的sqoop版本不一致，二者保持一致即可解决问题。
问题描述 Hadoop 运行 jar 包出现以下问题 22/09/03 00:34:34 INFO mapreduce.Job: Task Id : attempt_1662133271274_0002..._m_000000_1, Status : FAILED Error: java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot...be cast to org.apache.hadoop.io.IntWritable 解决方法 Map 类 key的默认输入是 LongWritable 型，不能强转。
org.apache.hadoop.ipc.RPC$VersionMismatch: Protocol org.apache.hadoop.hdfs.protocol.ClientProtocol version...:82) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1378) at org.apache.hadoop.fs.FileSystem.access...$200(FileSystem.java:66) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1390) at org.apache.hadoop.fs.FileSystem.get...(FileSystem.java:196) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:175) at org.apache.hadoop.hbase.util.FSUtils.getRootDir...org.apache.hadoop.hbase.master.HMaster: Aborting 2012-02-01 14:41:52,870 DEBUG org.apache.hadoop.hbase.master.HMaster
或添加配置的工具类 4）org.apache.hadoop.fs.FSDataOutputStream 对Hadoop中数据输出流的统一封装 5）org.apache.hadoop.fs.FSDataInputStream...; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream; import...import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream...; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream
> org.apache.hadoop hadoop-hdfs 2.5.0 org.apache.hadoop hadoop-client...; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.BlockLocation; 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.LocatedFileStatus; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.RemoteIterator
; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream; import...org.apache.hadoop.fs.FSDataOutputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.FileUtil...; import org.apache.hadoop.fs.Path; import org.apache.log4j.Logger; public class HadoopFileUtil { static...import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import org.apache.hadoop.fs.FSDataInputStream...; import org.apache.hadoop.io.IOUtils; import org.apache.log4j.Logger; import com.tixa.dfs.hadoop.util.HadoopFileUtil
集群搭建中的前半部分关于Linux环境搭建以及系统环境配置 二 ：安装包下载 下载链接 ：http://spark.apache.org/downloads.html 在这里选择Spark对应的Hadoop...start-all.sh )时，master节点 master和word进程都启动成功,但是另外两个节点work进程一直启动不起来，异常信息如下： Exception in thread “main” java.lang.NoClassDefFoundError...: org/apache/hadoop/fs/ FSDataInputStream 解决方式 ： 1 ：将master的防火墙关闭 2 ：检查slave节点的spark文件是否与master节点的文件一致...首先查看问题的描述，注意查看最下端的error 异常提示提炼出来如下几句： java.lang.IllegalArgumentException: Error while instantiating ‘org.apache.spark.sql.hive.HiveSessionState...more details see: http://wiki.apache.org/hadoop/ConnectionRefused :14: error: not found: value
;import org.apache.hadoop.fs.FSDataInputStream;import org.apache.hadoop.fs.FileSystem;import org.apache.hadoop.fs.Path...import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.fs.FSDataInputStream;import org.apache.hadoop.fs.FileSystem...;import org.apache.hadoop.fs.FSDataInputStream;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.springframework.stereotype.Service...;import org.apache.hadoop.fs.FSDataInputStream;import org.apache.hadoop.fs.FileStatus;import org.apache.hadoop.fs.FileSystem
org.apache.hadoop.fs.BlockLocation; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.FileSystem...; import org.apache.hadoop.fs.LocatedFileStatus; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.RemoteIterator...; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; //import org.apache.commons.io.IOUtils...; import org.apache.hadoop.io.IOUtils; import org.junit.Before; import org.junit.Test; public class StreamHdfs
想在 IDEA 上运行 Hadoop 的单测，以为 Maven 相关的依赖和插件下载好就能跑了是吧？...果不其然，没那么简单，下面就收到一个报错了: org.apache.hadoop.ipc.xxx不存在，见下图。 ? 上面显示的这个是什么包？为什么会报这个错呢？...其实不用着急，只要你了解 Hadoop 底层，有点后端的基础，慢慢推敲一下。看到 RPC，那么可以理解，这些不存在的文件为什么不存在呢？
; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path...; import org.apache.hadoop.fs.BlockLocation; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.FileSystem...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; public class CreatDir {...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.FSDataInputStream...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.FSDataInputStream
org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.LocalFileSystem; import org.apache.hadoop.fs.Path...; import org.apache.hadoop.io.IOUtils; import org.apache.hadoop.io.compress.BZip2Codec; import org.apache.hadoop.io.compress.CompressionCodec...org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.LocalFileSystem; import org.apache.hadoop.fs.Path
; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import...org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.LocatedFileStatus; import org.apache.hadoop.fs.Path
示例： hadoop fs -get /user/hadoop/file localfile hadoop fs -get hdfs://host:port/user/hadoop/file localfile...java.io.BufferedInputStream; import java.io.FileInputStream; import java.io.FileOutputStream; import org.apache.hadoop.conf.Configuration...; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.Path...; import org.apache.hadoop.io.IOUtils; public class FileCopy2Local { public static void main(String[...= FileSystem.get(URI.create(dest),conf); FSDataInputStream fsdi = fs.open(new Path(dest)); OutputStream
-- hadoop Client --> org.apache.hadoop...java.io.FileInputStream; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream...; import org.apache.hadoop.fs.FSDataOutputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path...; import org.apache.hadoop.io.IOUtils; /** * use java api operate hdfs * * @author beifeng *...fileSystem = getFileSystem(); // read Path Path readPath = new Path(fileName); FSDataInputStream
） hadoop fs -rm -r /目录名 （删除该目录以及里面的所有文件） eclipse基于hdfs的Api编程 常用代码如下 package com.testHDFS; import org.apache.hadoop.conf.Configuration...; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.FileSystem...; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.Text; import org.apache.hadoop.util.LineReader...(new Path("/test0.txt"), true); FSDataInputStream in = fs.open(new Path("/test/test0.txt"));...; }*/ //读取HDFS的文件内容 /*FSDataInputStream inputStream = fs.open(new Path("/test
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.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...= FileSystem.get(URI.create(dst), conf); String path = "/README.txt"; FSDataInputStream hdfsInStream...= fs.open(new Path(path)); IOUtils.copyBytes(hdfsInStream, System.out, conf, true); /* OutputStream
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