2019独角兽企业重金招聘Python工程师标准>>> 
网上关于HBase的代码都比较多，但是我们在实际运行中多少会出现问题，现在把我遇到的问题总结一下
1.HBase所需jar的引入
从网上粘贴的代码，放在编辑器里会提示所需的包不存在。这个时候建议给HBase做成用户库，以便下次再使用的话直接使用。此库里的jar包包括： hbase下的hbase.jar,hbase-test.jar以及lib目录下的所有。
2.Eclipse调试时报：unknown host: Master.Hadoop错误
这个错误很明显，就是找不到Master.Hadoop主机，解决也挺简单，就是修改windows下的host文件。
一般host的位置在：C:\WINDOWS\system32\drivers\etc\hosts
3.在网上看到的一种通过指定配置文件的调试方法：将自己所连接的HBase的配置文件hbase-site.xml添加到本工程的Classpath中，方法是：
先在工程下创建一个文件夹，可以命名为Conf,去Hbase的配置文件夹内将hbase-site.xml拷贝，粘贴至你所创建的Conf文件夹中。右击工程，Properties,Java Build Path, Libraries, Add Class Folder，勾选出Conf。示图：
当然也可以通过硬编码的方式指定参数设置（方法见附录：一种Hbase操作的代码）。
实际运行中出现的问题：
执行代码无相应，只出现如下log信息：
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:host.name=max-pc
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_21
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.home=C:\Program Files\Java\jdk1.7.0_21\jre
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.class.path=C:\Users\max\workspace\.metadata\.plugins\org.apache.hadoop.eclipse\hadoop-conf-1930663343015406040;C:\Users\max\workspace\WordCountProject\bin;E:\program\hbase\hbase-0.94.7.jar;E:\program\hbase\hbase-0.94.7-tests.jar;E:\program\hbase\lib\activation-1.1.jar;E:\program\hbase\lib\asm-3.1.jar;E:\program\hbase\lib\avro-1.5.3.jar;E:\program\hbase\lib\avro-ipc-1.5.3.jar;E:\program\hbase\lib\commons-beanutils-1.7.0.jar;E:\program\hbase\lib\commons-beanutils-core-1.8.0.jar;E:\program\hbase\lib\commons-cli-1.2.jar;E:\program\hbase\lib\commons-codec-1.4.jar;E:\program\hbase\lib\commons-collections-3.2.1.jar;E:\program\hbase\lib\commons-configuration-1.6.jar;E:\program\hbase\lib\commons-digester-1.8.jar;E:\program\hbase\lib\commons-el-1.0.jar;E:\program\hbase\lib\commons-httpclient-3.1.jar;E:\program\hbase\lib\commons-io-2.1.jar;E:\program\hbase\lib\commons-lang-2.5.jar;E:\program\hbase\lib\commons-logging-1.1.1.jar;E:\program\hbase\lib\commons-math-2.1.jar;E:\program\hbase\lib\commons-net-1.4.1.jar;E:\program\hbase\lib\core-3.1.1.jar;E:\program\hbase\lib\guava-11.0.2.jar;E:\program\hbase\lib\hadoop-core-1.0.4.jar;E:\program\hbase\lib\high-scale-lib-1.1.1.jar;E:\program\hbase\lib\httpclient-4.1.2.jar;E:\program\hbase\lib\httpcore-4.1.3.jar;E:\program\hbase\lib\jackson-core-asl-1.8.8.jar;E:\program\hbase\lib\jackson-jaxrs-1.8.8.jar;E:\program\hbase\lib\jackson-mapper-asl-1.8.8.jar;E:\program\hbase\lib\jackson-xc-1.8.8.jar;E:\program\hbase\lib\jamon-runtime-2.3.1.jar;E:\program\hbase\lib\jasper-compiler-5.5.23.jar;E:\program\hbase\lib\jasper-runtime-5.5.23.jar;E:\program\hbase\lib\jaxb-api-2.1.jar;E:\program\hbase\lib\jaxb-impl-2.2.3-1.jar;E:\program\hbase\lib\jersey-core-1.8.jar;E:\program\hbase\lib\jersey-json-1.8.jar;E:\program\hbase\lib\jersey-server-1.8.jar;E:\program\hbase\lib\jettison-1.1.jar;E:\program\hbase\lib\jetty-6.1.26.jar;E:\program\hbase\lib\jetty-util-6.1.26.jar;E:\program\hbase\lib\jruby-complete-1.6.5.jar;E:\program\hbase\lib\jsp-2.1-6.1.14.jar;E:\program\hbase\lib\jsp-api-2.1-6.1.14.jar;E:\program\hbase\lib\jsr305-1.3.9.jar;E:\program\hbase\lib\junit-4.10-HBASE-1.jar;E:\program\hbase\lib\libthrift-0.8.0.jar;E:\program\hbase\lib\log4j-1.2.16.jar;E:\program\hbase\lib\metrics-core-2.1.2.jar;E:\program\hbase\lib\netty-3.2.4.Final.jar;E:\program\hbase\lib\protobuf-java-2.4.0a.jar;E:\program\hbase\lib\servlet-api-2.5-6.1.14.jar;E:\program\hbase\lib\slf4j-api-1.4.3.jar;E:\program\hbase\lib\slf4j-log4j12-1.4.3.jar;E:\program\hbase\lib\snappy-java-1.0.3.2.jar;E:\program\hbase\lib\stax-api-1.0.1.jar;E:\program\hbase\lib\velocity-1.7.jar;E:\program\hbase\lib\xmlenc-0.52.jar;E:\program\hbase\lib\zookeeper-3.4.5.jar;E:\program\hadoop-1.0.0\lib\xmlenc-0.52.jar;E:\program\hadoop-1.0.0\lib\slf4j-log4j12-1.4.3.jar;E:\program\hadoop-1.0.0\lib\slf4j-api-1.4.3.jar;E:\program\hadoop-1.0.0\lib\servlet-api-2.5-20081211.jar;E:\program\hadoop-1.0.0\lib\oro-2.0.8.jar;E:\program\hadoop-1.0.0\lib\mockito-all-1.8.5.jar;E:\program\hadoop-1.0.0\lib\log4j-1.2.15.jar;E:\program\hadoop-1.0.0\lib\kfs-0.2.2.jar;E:\program\hadoop-1.0.0\lib\junit-4.5.jar;E:\program\hadoop-1.0.0\lib\jsch-0.1.42.jar;E:\program\hadoop-1.0.0\lib\jetty-util-6.1.26.jar;E:\program\hadoop-1.0.0\lib\jetty-6.1.26.jar;E:\program\hadoop-1.0.0\lib\jets3t-0.6.1.jar;E:\program\hadoop-1.0.0\lib\jersey-server-1.8.jar;E:\program\hadoop-1.0.0\lib\jersey-json-1.8.jar;E:\program\hadoop-1.0.0\lib\jersey-core-1.8.jar;E:\program\hadoop-1.0.0\lib\jdeb-0.8.jar;E:\program\hadoop-1.0.0\lib\jasper-runtime-5.5.12.jar;E:\program\hadoop-1.0.0\lib\jasper-compiler-5.5.12.jar;E:\program\hadoop-1.0.0\lib\jackson-mapper-asl-1.0.1.jar;E:\program\hadoop-1.0.0\lib\jackson-core-asl-1.0.1.jar;E:\program\hadoop-1.0.0\lib\hsqldb-1.8.0.10.jar;E:\program\hadoop-1.0.0\lib\hadoop-thriftfs-1.0.0.jar;E:\program\hadoop-1.0.0\lib\hadoop-fairscheduler-1.0.0.jar;E:\program\hadoop-1.0.0\lib\hadoop-capacity-scheduler-1.0.0.jar;E:\program\hadoop-1.0.0\lib\core-3.1.1.jar;E:\program\hadoop-1.0.0\lib\commons-net-1.4.1.jar;E:\program\hadoop-1.0.0\lib\commons-math-2.1.jar;E:\program\hadoop-1.0.0\lib\commons-logging-api-1.0.4.jar;E:\program\hadoop-1.0.0\lib\commons-logging-1.1.1.jar;E:\program\hadoop-1.0.0\lib\commons-lang-2.4.jar;E:\program\hadoop-1.0.0\lib\commons-httpclient-3.0.1.jar;E:\program\hadoop-1.0.0\lib\commons-el-1.0.jar;E:\program\hadoop-1.0.0\lib\commons-digester-1.8.jar;E:\program\hadoop-1.0.0\lib\commons-daemon-1.0.1.jar;E:\program\hadoop-1.0.0\lib\commons-configuration-1.6.jar;E:\program\hadoop-1.0.0\lib\commons-collections-3.2.1.jar;E:\program\hadoop-1.0.0\lib\commons-codec-1.4.jar;E:\program\hadoop-1.0.0\lib\commons-cli-1.2.jar;E:\program\hadoop-1.0.0\lib\commons-beanutils-core-1.8.0.jar;E:\program\hadoop-1.0.0\lib\commons-beanutils-1.7.0.jar;E:\program\hadoop-1.0.0\lib\aspectjtools-1.6.5.jar;E:\program\hadoop-1.0.0\lib\aspectjrt-1.6.5.jar;E:\program\hadoop-1.0.0\lib\asm-3.2.jar;E:\program\hadoop-1.0.0\hadoop-tools-1.0.0.jar;E:\program\hadoop-1.0.0\hadoop-core-1.0.0.jar;E:\program\hadoop-1.0.0\hadoop-ant-1.0.0.jar;C:\Users\max\workspace\WordCountProject\conf
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.library.path=C:\Program Files\Java\jdk1.7.0_21\bin;C:\Windows\Sun\Java\bin;C:\Windows\system32;C:\Windows;C:\Program Files (x86)\Intel\iCLS Client\;C:\Program Files\Intel\iCLS Client\;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files (x86)\Intel\OpenCL SDK\2.0\bin\x86;C:\Program Files (x86)\Intel\OpenCL SDK\2.0\bin\x64;C:\Program Files\Intel\Intel(R) Management Engine Components\DAL;C:\Program Files\Intel\Intel(R) Management Engine Components\IPT;C:\Program Files (x86)\Intel\Intel(R) Management Engine Components\DAL;C:\Program Files (x86)\Intel\Intel(R) Management Engine Components\IPT;C:\Program Files\Intel\WiFi\bin\;C:\Program Files\Common Files\Intel\WirelessCommon\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Common Files\Thunder Network\KanKan\Codecs;C:\Program Files\Java\jdk1.7.0_21\bin;E:\program\apache-maven-3.0.5\\bin;C:\Program Files\Intel\WiFi\bin\;C:\Program Files\Common Files\Intel\WirelessCommon\;.
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=C:\Users\max\AppData\Local\Temp\
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:os.name=Windows 8
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:os.version=6.2
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:user.name=hadoop
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:user.home=C:\Users\max
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Client environment:user.dir=C:\Users\max\workspace\WordCountProject
13/06/17 16:52:33 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=192.168.1.72:2181,192.168.1.71:2181,192.168.1.73:2181 sessionTimeout=180000 watcher=hconnection
13/06/17 16:52:33 INFO zookeeper.RecoverableZooKeeper: The identifier of this process is 8104@max-pc
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Opening socket connection to server 192.168.1.73/192.168.1.73:2181. Will not attempt to authenticate using SASL (unknown error)
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Socket connection established to 192.168.1.73/192.168.1.73:2181, initiating session
13/06/17 16:52:36 WARN zookeeper.ClientCnxnSocket: Connected to an old server; r-o mode will be unavailable
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Session establishment complete on server 192.168.1.73/192.168.1.73:2181, sessionid = 0x43f512f7ede0002, negotiated timeout = 40000
13/06/17 16:52:36 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=192.168.1.72:2181,192.168.1.71:2181,192.168.1.73:2181 sessionTimeout=180000 watcher=catalogtracker-on-org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@34e0907c
13/06/17 16:52:36 INFO zookeeper.RecoverableZooKeeper: The identifier of this process is 8104@max-pc
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Opening socket connection to server 192.168.1.73/192.168.1.73:2181. Will not attempt to authenticate using SASL (unknown error)
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Socket connection established to 192.168.1.73/192.168.1.73:2181, initiating session
13/06/17 16:52:36 WARN zookeeper.ClientCnxnSocket: Connected to an old server; r-o mode will be unavailable
13/06/17 16:52:36 INFO zookeeper.ClientCnxn: Session establishment complete on server 192.168.1.73/192.168.1.73:2181, sessionid = 0x43f512f7ede0003, negotiated timeout = 40000
附录：一种Hbase操作的代码
/*** @author MAX.HAN* @version 1.0* HbaseHelper.java Create on 2013-6-17 下午02:07:13 * Copyright (c) 2013 Company,Inc. All Rights Reserved.*/
package org.apache.hadoop.examples;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;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.KeyValue;
import org.apache.hadoop.hbase.MasterNotRunningException;
import org.apache.hadoop.hbase.ZooKeeperConnectionException;
import org.apache.hadoop.hbase.client.Delete;
import org.apache.hadoop.hbase.client.Get;
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;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.util.Bytes;/*** Description:** @author MAX.HAN* @version 1.0* Create on 2013-6-17 下午02:07:13*/
public class HbaseHelper {private static Configuration conf = null;// 初始化配置static {Configuration HBASE_CONFIG = new Configuration(); //与hbase/conf/hbase-site.xml中hbase.zookeeper.quorum配置的值相同 HBASE_CONFIG.set("hbase.master", "192.168.1.70:60000");HBASE_CONFIG.set("hbase.zookeeper.quorum", "192.168.1.71, 192.168.1.72,192.168.1.73"); //与hbase/conf/hbase-site.xml中hbase.zookeeper.property.clientPort配置的值相同 HBASE_CONFIG.set("hbase.zookeeper.property.clientPort", "2181"); conf = HBaseConfiguration.create(HBASE_CONFIG); }// 1、建表public static void createTable(String tablename, String[] cfs)throws IOException {HBaseAdmin admin = new HBaseAdmin(conf);if (admin.tableExists(tablename)) {System.out.println("表已经存在！");} else {HTableDescriptor tableDesc = new HTableDescriptor(tablename);for (int i = 0; i < cfs.length; i++) {// 表建好后，列簇不能动态增加，而列是可以动态增加的，这是hbase伸缩性的一个体现。tableDesc.addFamily(new HColumnDescriptor(cfs[i]));}admin.createTable(tableDesc);System.out.println("表创建成功！");}}// 2、插入数据public static void writeRow(String tablename, String[] cfs) {try {HTable table = new HTable(conf, tablename);Put put = new Put(Bytes.toBytes("rows1"));for (int j = 0; j < cfs.length; j++) {// 指定列簇// 指定列名// 指定列值put.add(Bytes.toBytes(cfs[j]), Bytes.toBytes(String.valueOf("列1")), Bytes.toBytes("value_13"));put.add(Bytes.toBytes(cfs[j]), Bytes.toBytes(String.valueOf("lie2")),Bytes.toBytes("value_24"));table.put(put);System.out.println("插入数据成功");}} catch (IOException e) {e.printStackTrace();}}// 3、删除一行数据public static void deleteRow(String tablename, String rowkey)throws IOException {HTable table = new HTable(conf, tablename);List list = new ArrayList();Delete d1 = new Delete(rowkey.getBytes());list.add(d1);table.delete(list);System.out.println("删除行成功！");}// 4、查找一行数据public static void selectRow(String tablename, String rowKey)throws IOException {HTable table = new HTable(conf, tablename);Get g = new Get(rowKey.getBytes());Result rs = table.get(g);for (KeyValue kv : rs.raw()) {System.out.print(new String(kv.getRow()) + " ");// 行号System.out.print(new String(kv.getFamily()) + ":");// 列簇名System.out.print(new String(kv.getQualifier()) + " ");// 列名System.out.print(kv.getTimestamp() + " ");// 时间戳System.out.println(new String(kv.getValue()));// 单元格的值}}// 5、查找全部数据public static void scanerTable(String tablename) {try {HTable table = new HTable(conf, tablename);Scan s = new Scan();ResultScanner rs = table.getScanner(s);for (Result r : rs) {KeyValue[] kv = r.raw();for (int i = 0; i < kv.length; i++) {System.out.print(new String(kv[i].getRow()) + " ");System.out.print(new String(kv[i].getFamily()) + ":");System.out.print(new String(kv[i].getQualifier()) + " ");System.out.print(kv[i].getTimestamp() + " ");System.out.println(new String(kv[i].getValue()));}}} catch (IOException e) {e.printStackTrace();}}// 6、删除表public static void deleteTable(String tablename) throws IOException {try {HBaseAdmin admin = new HBaseAdmin(conf);admin.disableTable(tablename);admin.deleteTable(tablename);System.out.println("表删除成功！");} catch (MasterNotRunningException e) {e.printStackTrace();} catch (ZooKeeperConnectionException e) {e.printStackTrace();}}public static void main(String[] args) throws IOException {String[] cfs = "a,b,c".split(",");createTable("test01", cfs);//writeRow("test01", cfs);// deleteRow("test01", "rows1");// selectRow("test01", "rows2");//scanerTable("test01");// deleteTable("test01");}
}参考链接：
1.【Hbase】Java对hbase的操作 http://smallwildpig.iteye.com/blog/1695203
2. 用 Java 对 hbase 进行CRUD增删改查操作 http://my.oschina.net/leejun2005/blog/92775