org.apache.hadoop.hbase.MasterNotRunningException解决策略
执行HBase时常会遇到个错误,我就有这种经历。
ERROR: org.apache.hadoop.hbase.MasterNotRunningException: Retried 7 times
检查日志:org.apache.hadoop.ipc.RPC$VersionMismatch: Protocol org.apache.hadoop.hdfs.protocol.ClientProtocol version mismatch. (client = 42, server = 41)
假设是这个错误,说明RPC协议不一致所造成的,解决方法:将hbase/lib文件夹下的hadoop-core的jar文件删除。将hadoop文件夹下的hadoop-0.20.2-core.jar复制到hbase/lib以下。然后又一次启动hbase就可以。
另外一种错误是:没有启动hadoop。先启用hadoop,再启用hbase。
在Eclipse开发中,须要增加hadoop全部的jar包以及HBase二个jar包(hbase,zooKooper)。
- 建表,通过HBaseAdmin类中的create静态方法来创建表。
- HTable类是操作表,比如,静态方法put能够插入数据,该类初始化时能够传递一个行键,静态方法getScanner()能够获得某一列上的全部数据。返回Result类,Result类中有个静态方法getFamilyMap()能够获得以列名为key,值为value,这刚好与hadoop中map结果是一样的。
package test;
import java.io.IOException;
import java.util.Map;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result; public class Htable { /**
* @param args
*/
public static void main(String[] args) throws IOException {
// TODO Auto-generated method stub
Configuration hbaseConf = HBaseConfiguration.create();
HBaseAdmin admin = new HBaseAdmin(hbaseConf);
HTableDescriptor htableDescriptor = new HTableDescriptor("table"
.getBytes()); //set the name of table
htableDescriptor.addFamily(new HColumnDescriptor("fam1")); //set the name of column clusters
admin.createTable(htableDescriptor); //create a table
HTable table = new HTable(hbaseConf, "table"); //get instance of table.
for (int i = 0; i < 3; i++) { //for is number of rows
Put putRow = new Put(("row" + i).getBytes()); //the ith row
putRow.add("fam1".getBytes(), "col1".getBytes(), "vaule1"
.getBytes()); //set the name of column and value.
putRow.add("fam1".getBytes(), "col2".getBytes(), "vaule2"
.getBytes());
putRow.add("fam1".getBytes(), "col3".getBytes(), "vaule3"
.getBytes());
table.put(putRow);
}
for(Result result: table.getScanner("fam1".getBytes())){//get data of column clusters
for(Map.Entry<byte[], byte[]> entry : result.getFamilyMap("fam1".getBytes()).entrySet()){//get collection of result
String column = new String(entry.getKey());
String value = new String(entry.getValue());
System.out.println(column+","+value);
}
}
admin.disableTable("table".getBytes()); //disable the table
admin.deleteTable("table".getBytes()); //drop the tbale
}
}以上代码不难看懂。
以下介绍一下,用mapreduce如何操作HBase。主要对HBase中的数据进行读取。
如今有一些大的文件,须要存入HBase中。其思想是先把文件传到HDFS上,利用map阶段读取<key,value>对,可在reduce把这些键值对上传到HBase中。
package test; import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper; public class MapperClass extends Mapper<LongWritable,Text,Text,Text>{
public void map(LongWritable key,Text value,Context context)thorws IOException{
String[] items = value.toString().split(" ");
String k = items[0];
String v = items[1];
context.write(new Text(k), new Text(v));
} }
Reduce类,主要是将键值传到HBase表中
package test; import java.io.IOException;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.io.Text; public class ReducerClass extends TableReducer<Text,Text,ImmutableBytesWritable>{
public void reduce(Text key,Iterable<Text> values,Context context){
String k = key.toString();
StringBuffer str=null;
for(Text value: values){
str.append(value.toString());
}
String v = new String(str);
Put putrow = new Put(k.getBytes());
putrow.add("fam1".getBytes(), "name".getBytes(), v.getBytes());
}
}
由上面可知ReducerClass继承TableReduce,在hadoop里面ReducerClass继承Reducer类。它的原型为:TableReducer<KeyIn,Values,KeyOut>能够看出,HBase里面是读出的Key类型是ImmutableBytesWritable。
Map,Reduce。以及Job的配置分离。比較清晰,mahout也是採用这样的构架。
package test; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.util.Tool; public class Driver extends Configured implements Tool{ @Override
public static void run(String[] arg0) throws Exception {
// TODO Auto-generated method stub
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum.", "localhost"); Job job = new Job(conf,"Hbase");
job.setJarByClass(TxtHbase.class); Path in = new Path(arg0[0]); job.setInputFormatClass(TextInputFormat.class);
FileInputFormat.addInputPath(job, in); job.setMapperClass(MapperClass.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class); TableMapReduceUtil.initTableReducerJob("table", ReducerClass.class, job); job.waitForCompletion(true);
} }
Driver中job配置的时候没有设置 job.setReduceClass(); 而是用 TableMapReduceUtil.initTableReducerJob("tab1", THReducer.class, job); 来运行reduce类。
主函数
package test; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.util.ToolRunner; public class TxtHbase {
public static void main(String [] args) throws Exception{ Driver.run(new Configuration(),new THDriver(),args); }
}
读取数据时比較简单,编写Mapper函数,读取<key,value>值即可了。
package test; import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapred.TableMap;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter; public class MapperClass extends MapReduceBase implements
TableMap<Text, Text> {
static final String NAME = "GetDataFromHbaseTest";
private Configuration conf; public void map(ImmutableBytesWritable row, Result values,
OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
StringBuilder sb = new StringBuilder();
for (Entry<byte[], byte[]> value : values.getFamilyMap(
"fam1".getBytes()).entrySet()) {
String cell = value.getValue().toString();
if (cell != null) {
sb.append(new String(value.getKey())).append(new String(cell));
}
}
output.collect(new Text(row.get()), new Text(sb.toString()));
}
要实现这种方法 initTableMapJob(String table, String columns, Class<?
extends TableMap> mapper, Class<? is-external=true">Class
extends org.apache.hadoop.io.WritableComparable> outputKeyClass,
org.apache.hadoop.mapred.JobConf job, boolean addDependencyJars)。
package test; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.util.Tool; public class Driver extends Configured implements Tool{ @Override
public static void run(String[] arg0) throws Exception {
// TODO Auto-generated method stub
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum.", "localhost");
Job job = new Job(conf,"Hbase");
job.setJarByClass(TxtHbase.class);
job.setInputFormatClass(TextInputFormat.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class); TableMapReduceUtilinitTableMapperJob("table", args0[0],MapperClass.class, job);
job.waitForCompletion(true); }
}
主函数
package test; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.util.ToolRunner; public class TxtHbase {
public static void main(String [] args) throws Exception{ Driver.run(new Configuration(),new THDriver(),args); }
}
org.apache.hadoop.hbase.MasterNotRunningException解决策略的更多相关文章
- 远程调用HBase出错,尝试10次后,报org.apache.hadoop.hbase.MasterNotRunningException错误
网上的解决方案挺多的,但都不适用于我今天下午碰到的情况. 环 境:HBase-0.90.3在debian 6下,客户端在windows上.我用之前的HBase服务器是没问题的,但重新解压并配置后就有问 ...
- org.apache.hadoop.hbase.TableNotDisabledException 解决方法
Exception in thread "main" org.apache.hadoop.hbase.TableNotDisabledException: org.apache.h ...
- Cloudera集群中提交Spark任务出现java.lang.NoSuchMethodError: org.apache.hadoop.hbase.HTableDescriptor.addFamily错误解决
Cloudera及相关的组件版本 Cloudera: 5.7.0 Hbase: 1.20 Hadoop: 2.6.0 ZooKeeper: 3.4.5 就算是引用了相应的组件依赖,依然是报一样的错误! ...
- 【解决】org.apache.hadoop.hbase.ClockOutOfSyncException:
org.apache.hadoop.hbase.ClockOutOfSyncException: org.apache.hadoop.hbase.ClockOutOfSyncException: Se ...
- 执行HBase shell时出现ERROR: org.apache.hadoop.hbase.ipc.ServerNotRunningYetException: Server is not running yet错误解决办法(图文详解)
不多说,直接上干货! [kfk@bigdata-pro01 bin]$ jps NameNode ResourceManager JournalNode HMaster DataNode HRegio ...
- hbase运行时ERROR:org.apache.hadoop.hbase.PleaseHoldException:Master is initializing的解决方法
最终解决了,其实我心中有一句MMP. 版本: hadoop 2.6.4 + hbase0.98 第一个问题,端口问题8020 hadoop默认的namenode 资源子接口是8020 端口,然后我这接 ...
- 使用IDEA操作Hbase API 报错:org.apache.hadoop.hbase.client.RetriesExhaustedException的解决方法:
使用IDEA操作Hbase API 报错:org.apache.hadoop.hbase.client.RetriesExhaustedException的解决方法: 1.错误详情: Excepti ...
- 运行HBase应用开发程序产生异常,提示信息包含org.apache.hadoop.hbase.ipc.controller.ServerRpcControllerFactory的解决办法
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Exception in thread ...
- hbase(ERROR: org.apache.hadoop.hbase.ipc.ServerNotRunningYetException: Server is not running yet)
今天启动clouder manager集群时候hbase list出现 (ERROR: org.apache.hadoop.hbase.ipc.ServerNotRunningYetException ...
随机推荐
- 'Agent XPs' component is turned off as part of the security configuration for this server
To turn on Agent XP's by running this script: sp_configure 'show advanced options', 1; Go RECONFIGUR ...
- Android 自定义可拖拽View,界面渲染刷新后不会自动回到起始位置
以自定义ImageView为例: /** * 可拖拽ImageView * Created by admin on 2017/2/21. */ public class FloatingImageVi ...
- IRGAN:A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
https://arxiv.org/pdf/1705.10513.pdf 论文阅读笔记: https://www.cnblogs.com/liaohuiqiang/p/9694277.html htt ...
- git 放弃本地修改(转)
如果在修改时发现修改错误,而要放弃本地修改时, 一, 未使用 git add 缓存代码时. 可以使用 git checkout -- filepathname (比如: git checkout -- ...
- Win8.1开机自启动程序
动机: 开机自启动goagent与锐捷 问题: goagent没有自启动选项;锐捷开启"登录后启动"却一直没有启动 解决方案: 使用计划任务启动goagent+彻底关闭UAC使锐捷 ...
- IOS App 后台运行
使用block的另一个用处是可以让程序在后台较长久的运行.在以前,当app被按home键退出后,app仅有最多5秒钟的时候做一些保存或清理资源的工作.但是应用可以调用UIApplication的beg ...
- ThinkPHP32 MODULE_ALLOW_LIST 存在的bug 不生效
1)BUG: 假设存在Api Home Admin Member 模块.仅仅想让用户訪问 Api Home,不同意訪问Admin Member. 必须将Admin Member 写在 MODULE_D ...
- collections集合的总括。
序言 突然遇到集合的有关面试题,感觉很懵逼,所以特意总结了一下,关于我们常用的 ArrayList.LinkedList.Set等集合的一些区别和用法. 还有,这份微小型总结肯定是从很多博文中摘取精华 ...
- haproxy-1.7.7 源码安装
安装一下依赖 yum install openssl-devel openssl 编译安装 make TARGET=linux2628 USE_OPENSSL=1 ADDLIB=-lz make in ...
- Lua官方文档与源码分析
https://www.lua.org/source/5.3/ http://www.cppblog.com/airtrack/archive/2012/09/19/191233.html https ...