我的HBase之旅

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最近在学hbase，看了好多资料，具体的参考：
http://blog.chinaunix.net/u3/102568/article_144792.html
http://blog.csdn.net/dajuezhao/category/724896.aspx
http://www.javabloger.com/article/apache-hbase-shell-and-install-key-value.html
以上三个里面的所有资料都看了，相信你就知道一定的hbase概念了。
好了，现在讲讲我的配置环境：
cygwin + hadoop-0.20.2 + zookeeper-3.3.2 + hbase-0.20.6 (+ eclipse3.6)
具体的配置细节，这里不讲了，网上很多，只要细心就没问题。
假设都配置好了，那么启动这些服务吧，据说启动顺序也是有要求的：
1，hadoop ./start-all.sh
2，zookeeper ./zkServer.sh start
3，hbase ./start-hbase.sh
停止的时候也是有顺序的， hbase--zookeeper--hadoop

成功后的界面截图：
http://localhost:60010/master.jsp 【hbase的管理信息】

下面就写java代码来操作hbase，我写了简单的增删改查：

package org.test;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
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.KeyValue;
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.client.Scanner;
import org.apache.hadoop.hbase.io.BatchUpdate;
import org.apache.hadoop.hbase.io.Cell;
import org.apache.hadoop.hbase.io.RowResult;
import org.apache.hadoop.hbase.util.Bytes;

public class TestHBase {
	public final static String COLENDCHAR = String.valueOf(KeyValue.COLUMN_FAMILY_DELIMITER);//":"
	final String key_colName = "colN";
	final String key_colCluster = "colClut";
	final String key_colDataType = "colDT";
	final String key_colVal = "colV";
	//hbase的环境变量
	HBaseConfiguration conf;
	HBaseAdmin admin = null;
	/**
	 * @param args
	 */
	public static void main(String[] args) {
		// TODO Auto-generated method stub
		TestHBase app = new TestHBase();
		
		//app.test();
		
		app.init();
		app.go();
		app.list();
	}
	
	void list(){
		try {
			String tableName = "htcjd0";
			Map rsMap = this.getHTData(tableName);
			System.out.println(rsMap.toString());
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
	void go(){
		try {
			//建表
			String tableName = "htcjd0";
			String[] columns = new String[]{"col"};
			this.createHTable(tableName, columns);
			//插入数据
			List list = new ArrayList();
			List rowList = null;
			Map rowMap = null;
			for (int i = 0; i < 10; i++) {
				rowList = new ArrayList();
				
				rowMap = new HashMap();
				rowMap.put(key_colName, "col");
				//rowMap.put(key_colCluster, "cl_name");
				rowMap.put(key_colVal, "陈杰堆nocluster"+i);
				rowList.add(rowMap);
				
				rowMap = new HashMap();
				rowMap.put(key_colName, "col");
				rowMap.put(key_colCluster, "cl_name");
				rowMap.put(key_colVal, "陈杰堆cl_"+i);
				rowList.add(rowMap);
				
				rowMap = new HashMap();
				rowMap.put(key_colName, "col");
				rowMap.put(key_colCluster, "cl_age");
				rowMap.put(key_colVal, "cl_"+i);
				rowList.add(rowMap);
				
				rowMap = new HashMap();
				rowMap.put(key_colName, "col");
				rowMap.put(key_colCluster, "cl_sex");
				rowMap.put(key_colVal, "列cl_"+i);
				rowList.add(rowMap);
				
				list.add(rowList);
			}
			HTable hTable = this.getHTable(tableName);
			this.insertRow(hTable, list);
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
	void go0(){
		try {
			//建表
			String tableName = "htcjd";
			String[] columns = new String[]{"name","age","col"};
			this.createHTable(tableName, columns);
			//插入数据
			List list = new ArrayList();
			List rowList = null;
			Map rowMap = null;
			for (int i = 0; i < 10; i++) {
				rowList = new ArrayList();
				rowMap = new HashMap();
				rowMap.put(key_colName, "name");
				rowMap.put(key_colVal, "测试hbase"+i);
				
				rowMap.put(key_colName, "age");
				rowMap.put(key_colVal, ""+i);
				
				rowMap.put(key_colName, "col");
				rowMap.put(key_colVal, "列"+i);
				
				rowList.add(rowMap);
				
				list.add(rowList);
			}
			HTable hTable = this.getHTable(tableName);
			this.insertRow(hTable, list);
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
	void init() {
		try {
			Configuration HBASE_CONFIG = new Configuration();
			HBASE_CONFIG.set("hbase.zookeeper.quorum", "127.0.0.1");
			HBASE_CONFIG.set("hbase.zookeeper.property.clientPort", "2181");
			this.conf = new HBaseConfiguration(HBASE_CONFIG);// new HBaseConfiguration();
			this.admin = new HBaseAdmin(conf);
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
	
	/**
	 * 创建表的描述
	 * @param tableName
	 * @return
	 * @throws Exception
	 */
	HTableDescriptor createHTDesc(final String tableName)throws Exception{
		try {
			return new HTableDescriptor(tableName);
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 针对hbase的列的特殊情况进行处理,列的情况: course: or course:math,
	 * 就是要么带列族，要么不带列族(以冒号结尾)
	 * @param colName 列
	 * @param cluster 列族
	 * @return
	 */
	String fixColName(String colName,String cluster){
		if(cluster!=null&&cluster.trim().length()>0&&colName.endsWith(cluster)){
			return colName;
		}
		String tmp = colName;
		int index = colName.indexOf(COLENDCHAR);
		//int leng = colName.length();
		if(index == -1){
			tmp += COLENDCHAR;
		}
		//直接加入列族
		if(cluster!=null&&cluster.trim().length()>0){
			tmp += cluster;
		}
		return tmp;		
	}
	String fixColName(String colName){
		return this.fixColName(colName, null);
	}
	
	/**
	 * 创建列的描述,添加后，该列会有一个冒号的后缀，用于存储(列)族,
	 * 将来如果需要扩展，那么就在该列后加入(列)族
	 * @param colName
	 * @return
	 * @throws Exception
	 */
	HColumnDescriptor createHCDesc(String colName)throws Exception{
		try {
			String tmp = this.fixColName(colName);
			byte[] colNameByte = Bytes.toBytes(tmp);
			return new HColumnDescriptor(colNameByte);
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 给表添加列,此时不带列族
	 * @param htdesc
	 * @param colName
	 * @param readonly
	 * @throws Exception
	 */
	void addFamily(HTableDescriptor htdesc,String colName,final boolean readonly)throws Exception{
		try {
			htdesc.addFamily(this.createHCDesc(colName));
			htdesc.setReadOnly(readonly);
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 删除列--不带列族
	 * @param tableName
	 * @param colName
	 * @throws Exception
	 */
	void removeFamily(String tableName,String colName)throws Exception{
		try {
			String tmp = this.fixColName(colName);
			this.admin.deleteColumn(tableName, tmp);
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 删除列--带列族
	 * @param tableName
	 * @param colName
	 * @param cluster
	 * @throws Exception
	 */
	void removeFamily(String tableName,String colName,String cluster)throws Exception{
		try {
			String tmp = this.fixColName(colName,cluster);
			this.admin.deleteColumn(tableName, tmp);
		} catch (Exception e) {
			throw e;
		}
	}
	/**
	 * 建表
	 * @param tableName
	 * @param columns
	 * @throws Exception
	 */
	void createHTable(String tableName)throws Exception{
		try {
			if(admin.tableExists(tableName))return;//判断表是否已经存在
			HTableDescriptor htdesc = this.createHTDesc(tableName);
			admin.createTable(htdesc);
		} catch (Exception e) {
			throw e;
		}
	}
	void createHTable(String tableName,String[] columns)throws Exception{
		try {
			if(admin.tableExists(tableName))return;//判断表是否已经存在
			HTableDescriptor htdesc = this.createHTDesc(tableName);
			for (int i = 0; i < columns.length; i++) {
				String colName = columns[i];
				this.addFamily(htdesc, colName, false);
			}
			admin.createTable(htdesc);
		} catch (Exception e) {
			throw e;
		}
	}
	/**
	 * 删除表
	 * @param tableName
	 * @throws Exception
	 */
	void removeHTable(String tableName)throws Exception{
		try {
			admin.disableTable(tableName);//使无效
			admin.deleteTable(tableName);//再删除
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 取得某个表
	 * @param tableName
	 * @return
	 * @throws Exception
	 */
	HTable getHTable(String tableName)throws Exception{
		try {
			return new HTable(conf, tableName);
		} catch (Exception e) {
			throw e;
		}
	}
	
	void updateColumn(String tableName,String rowID,String colName,String cluster,String value)throws Exception{
		try {
			BatchUpdate batchUpdate = new BatchUpdate(rowID);
			String tmp = this.fixColName(colName, cluster);
			batchUpdate.put(tmp, Bytes.toBytes(value));
			
			HTable hTable = this.getHTable(tableName);
			hTable.commit(batchUpdate); 
		} catch (Exception e) {
			throw e;
		}
	}
	
	void updateColumn(String tableName,String rowID,String colName,String value)throws Exception{
		try {
			this.updateColumn(tableName, rowID, colName, null, value); 
		} catch (Exception e) {
			throw e;
		}
	}
	
	void deleteColumn(String tableName,String rowID,String colName,String cluster)throws Exception{
		try {
			BatchUpdate batchUpdate = new BatchUpdate(rowID);
			String tmp = this.fixColName(colName, cluster);
			batchUpdate.delete(tmp);
			HTable hTable = this.getHTable(tableName);
			hTable.commit(batchUpdate); 
		} catch (Exception e) {
			throw e;
		}
	}
	
	void deleteColumn(String tableName,String rowID,String colName)throws Exception{
		try {
			this.deleteColumn(tableName, rowID, colName, null); 
		} catch (Exception e) {
			throw e;
		}
	}
	/**
	 * 取得某一行，某一列的值
	 * @param tableName
	 * @param rowID
	 * @param colName
	 * @param cluster
	 * @return
	 * @throws Exception
	 */
	String getColumnValue(String tableName,String rowID,String colName,String cluster)throws Exception{
		try {
			String tmp = this.fixColName(colName, cluster);
			HTable hTable = this.getHTable(tableName);
			Cell cell = hTable.get(rowID, tmp);
			if(cell==null)return null;
			return new String(cell.getValue());
		} catch (Exception e) {
			throw e;
		}
	}
	
	/**
	 * 取得所属列的值
	 * @param tableName
	 * @param colName
	 * @param cluster 如果该参数为空，那么返回所有列族的值
	 * @return
	 * @throws Exception
	 */
	Map getColumnValue(String tableName, String colName, String cluster)throws Exception {
		Scanner scanner = null;
		try {
			String tmp = this.fixColName(colName, cluster);
			HTable hTable = this.getHTable(tableName);
			scanner = hTable.getScanner(new String[] { tmp });// "myColumnFamily:columnQualifier1"
			RowResult rowResult = scanner.next();
			Map resultMap = new HashMap();
			String row, value;
			Cell cell = null;
			while (rowResult != null) {
				// print out the row we found and the columns we were looking
				// for
				// System.out.println("Found row: "
				// + new String(rowResult.getRow())
				// + " with value: "
				// + rowResult.get("myColumnFamily:columnQualifier1"
				// .getBytes()));
				row = new String(rowResult.getRow());
				cell = rowResult.get(Bytes.toBytes(tmp));
				if (cell == null) {
					resultMap.put(row, null);
				} else {
					resultMap.put(row, cell.getValue());
				}
				rowResult = scanner.next();
			}
			
			return resultMap;
		} catch (Exception e) {
			throw e;
		}finally{
			if(scanner!=null){
				scanner.close();//一定要关闭
			}
		}
	}
	
	/**
	 * 取得所有数据
	 * @param tableName
	 * @return Map
	 * @throws Exception
	 */
	public Map getHTData(String tableName) throws Exception {
		ResultScanner rs = null;
		try {
			HTable table = new HTable(this.conf, tableName);
			Scan s = new Scan();
			rs = table.getScanner(s);
			Map resultMap = new HashMap();
			for (Result r : rs) {
				for (KeyValue kv : r.raw()) {
					resultMap.put(new String(kv.getColumn()),
							new String(kv.getValue()));
				}
			}
			return resultMap;
		} catch (Exception e) {
			throw e;
		} finally {
			if (rs != null)
				rs.close();
		}
	}
	
	//插入记录
	void insertRow(HTable table,List dataList)throws Exception{
		try {
			Put put = null;
			String colName = null;
			String colCluster = null;
			String colDataType = null;
			byte[] value;
			List rowDataList = null;
			Map rowDataMap = null;
			for (Iterator iterator = dataList.iterator(); iterator.hasNext();) {
				rowDataList = (List) iterator.next();
				for(int i=0;i<rowDataList.size();i++){
					rowDataMap = (Map) rowDataList.get(i);
					colName = (String)rowDataMap.get(key_colName);
					colCluster = (String)rowDataMap.get(key_colCluster);
					colDataType = (String)rowDataMap.get(key_colDataType);
					Object val = rowDataMap.get(key_colVal);
					value = Bytes.toBytes(String.valueOf(val));
//					//根据数据类型来处理
//					if("string".equalsIgnoreCase(colDataType)){
//						value = Bytes.toBytes((String)val);
//					}else if("int".equalsIgnoreCase(colDataType)){
//						value = Bytes.toInt(Integer.parseInt(String.valueOf(val)));
//					}else if("float".equalsIgnoreCase(colDataType)){
//						value = Bytes.toBytes(Float.parseFloat(String.valueOf(val)));
//					}else if("long".equalsIgnoreCase(colDataType)){
//						value = Bytes.toBytes(Long.parseLong(String.valueOf(val)));
//					}else if("double".equalsIgnoreCase(colDataType)){
//						value = Bytes.toBytes(Double.parseDouble(String.valueOf(val)));
//					}else if("char".equalsIgnoreCase(colDataType)){
//						value = Bytes.toBytes((String.valueOf(val)));
//					}else if("byte".equalsIgnoreCase(colDataType)){
//						value = Bytes.totoBytes((byte[])val);
//					}
					put = new Put(value);
					String tmp = this.fixColName(colName, colCluster);
					byte[] colNameByte = Bytes.toBytes(tmp);
					byte[][] famAndQf = KeyValue.parseColumn(colNameByte);
					put.add(famAndQf[0], famAndQf[1], value);
					table.put(put);
				}
			}
		} catch (Exception e) {
			throw e;
		}
	}
	//取得表的结构信息

}

然后在eclipse里面运行,可以看到结果:

[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:zookeeper.version=3.3.2-1031432, built on 11/05/2010 05:32 GMT
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:host.name=chenjiedui
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.version=1.6.0_05
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.vendor=Sun Microsystems Inc.
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.home=D:\jdk1.6.0_05\jre
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.class.path=D:\workspace\MyHadoopApp\bin;D:\workspace\MyHadoopApp\lib\commons-lang-2.4.jar;D:\workspace\MyHadoopApp\lib\commons-logging-1.1.1.jar;D:\workspace\Hadoop0.20.2\bin;D:\workspace\Hadoop0.20.2\lib\commons-cli-1.2.jar;D:\workspace\Hadoop0.20.2\lib\commons-codec-1.3.jar;D:\workspace\Hadoop0.20.2\lib\commons-el-1.0.jar;D:\workspace\Hadoop0.20.2\lib\commons-httpclient-3.0.1.jar;D:\workspace\Hadoop0.20.2\lib\commons-logging-1.0.4.jar;D:\workspace\Hadoop0.20.2\lib\commons-logging-api-1.0.4.jar;D:\workspace\Hadoop0.20.2\lib\commons-net-1.4.1.jar;D:\workspace\Hadoop0.20.2\lib\core-3.1.1.jar;D:\workspace\Hadoop0.20.2\lib\hsqldb-1.8.0.10.jar;D:\workspace\Hadoop0.20.2\lib\jasper-compiler-5.5.12.jar;D:\workspace\Hadoop0.20.2\lib\jasper-runtime-5.5.12.jar;D:\workspace\Hadoop0.20.2\lib\jets3t-0.6.1.jar;D:\workspace\Hadoop0.20.2\lib\jetty-6.1.14.jar;D:\workspace\Hadoop0.20.2\lib\jetty-util-6.1.14.jar;D:\workspace\Hadoop0.20.2\lib\junit-3.8.1.jar;D:\workspace\Hadoop0.20.2\lib\kfs-0.2.2.jar;D:\workspace\Hadoop0.20.2\lib\log4j-1.2.15.jar;D:\workspace\Hadoop0.20.2\lib\mockito-all-1.8.0.jar;D:\workspace\Hadoop0.20.2\lib\oro-2.0.8.jar;D:\workspace\Hadoop0.20.2\lib\servlet-api-2.5-6.1.14.jar;D:\workspace\Hadoop0.20.2\lib\slf4j-api-1.4.3.jar;D:\workspace\Hadoop0.20.2\lib\slf4j-log4j12-1.4.3.jar;D:\workspace\Hadoop0.20.2\lib\xmlenc-0.52.jar;D:\workspace\Hadoop0.20.2\lib\ant.jar;D:\workspace\Hadoop0.20.2\lib\jsp-2.1.jar;D:\workspace\Hadoop0.20.2\lib\jsp-api-2.1.jar;D:\workspace\Hadoop0.20.2\lib\ftplet-api-1.0.0-SNAPSHOT.jar;D:\workspace\Hadoop0.20.2\lib\ftpserver-core-1.0.0-SNAPSHOT.jar;D:\workspace\Hadoop0.20.2\lib\ftpserver-server-1.0.0-SNAPSHOT.jar;D:\workspace\Hadoop0.20.2\lib\libthrift.jar;D:\workspace\Hadoop0.20.2\lib\mina-core-2.0.0-M2-20080407.124109-12.jar;D:\workspace\Hadoop0.20.2\libs\lucene\lucene-core-3.0.1.jar;D:\workspace\HBase0.20.6\bin;D:\workspace\HBase0.20.6\lib\commons-cli-2.0-SNAPSHOT.jar;D:\workspace\HBase0.20.6\lib\commons-el-from-jetty-5.1.4.jar;D:\workspace\HBase0.20.6\lib\commons-httpclient-3.0.1.jar;D:\workspace\HBase0.20.6\lib\commons-logging-1.0.4.jar;D:\workspace\HBase0.20.6\lib\commons-logging-api-1.0.4.jar;D:\workspace\HBase0.20.6\lib\commons-math-1.1.jar;D:\workspace\HBase0.20.6\lib\hadoop-0.20.2-core.jar;D:\workspace\HBase0.20.6\lib\jasper-compiler-5.5.12.jar;D:\workspace\HBase0.20.6\lib\jasper-runtime-5.5.12.jar;D:\workspace\HBase0.20.6\lib\jetty-6.1.14.jar;D:\workspace\HBase0.20.6\lib\jetty-util-6.1.14.jar;D:\workspace\HBase0.20.6\lib\jruby-complete-1.2.0.jar;D:\workspace\HBase0.20.6\lib\junit-4.8.1.jar;D:\workspace\HBase0.20.6\lib\libthrift-r771587.jar;D:\workspace\HBase0.20.6\lib\log4j-1.2.15.jar;D:\workspace\HBase0.20.6\lib\lucene-core-2.2.0.jar;D:\workspace\HBase0.20.6\lib\servlet-api-2.5-6.1.14.jar;D:\workspace\HBase0.20.6\lib\xmlenc-0.52.jar;D:\workspace\HBase0.20.6\lib\zookeeper-3.3.2.jar;D:\workspace\MyHadoopApp\lib\commons-cli-2.0-SNAPSHOT.jar;D:\workspace\MyHadoopApp\lib\log4j-1.2.15.jar;D:\workspace\MyHadoopApp\lib\hbase\commons-el-from-jetty-5.1.4.jar;D:\workspace\MyHadoopApp\lib\hbase\commons-httpclient-3.0.1.jar;D:\workspace\MyHadoopApp\lib\hbase\commons-logging-api-1.0.4.jar;D:\workspace\MyHadoopApp\lib\hbase\commons-math-1.1.jar;D:\workspace\MyHadoopApp\lib\hbase\jasper-compiler-5.5.12.jar;D:\workspace\MyHadoopApp\lib\hbase\jasper-runtime-5.5.12.jar;D:\workspace\MyHadoopApp\lib\hbase\jetty-6.1.14.jar;D:\workspace\MyHadoopApp\lib\hbase\jetty-util-6.1.14.jar;D:\workspace\MyHadoopApp\lib\hbase\jruby-complete-1.2.0.jar;D:\workspace\MyHadoopApp\lib\hbase\libthrift-r771587.jar;D:\workspace\MyHadoopApp\lib\hbase\lucene-core-2.2.0.jar;D:\workspace\MyHadoopApp\lib\hbase\servlet-api-2.5-6.1.14.jar;D:\workspace\MyHadoopApp\lib\hbase\xmlenc-0.52.jar;D:\workspace\MyHadoopApp\lib\hbase\zookeeper-3.3.2.jar
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.library.path=D:\jdk1.6.0_05\bin;.;C:\WINDOWS\Sun\Java\bin;C:\WINDOWS\system32;C:\WINDOWS;d:/jdk1.6.0_05/bin/../jre/bin/client;d:/jdk1.6.0_05/bin/../jre/bin;d:/jdk1.6.0_05/bin/../jre/lib/i386;D:\cygwin\bin;D:\cygwin\usr\sbin;d:\oracle\product\10.2.0\db_1\bin;d:\jdk1.6.0_05\bin;D:\apache-ant-1.8.0RC1\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\Program Files\Intel\WiFi\bin\;C:\Program Files\ThinkPad\ConnectUtilities;C:\Program Files\Common Files\Lenovo;d:\Program Files\cvsnt;C:\Program Files\Common Files\Thunder Network\KanKan\Codecs;C:\Program Files\Common Files\TTKN\Bin;C:\Program Files\StormII\Codec;C:\Program Files\StormII
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.io.tmpdir=C:\DOCUME~1\ADMINI~1\LOCALS~1\Temp\
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:java.compiler=<NA>
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:os.name=Windows XP
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:os.arch=x86
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:os.version=5.1
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:user.name=Administrator
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:user.home=C:\Documents and Settings\Administrator
[hadoop] INFO [main] ZooKeeper.logEnv(97) | Client environment:user.dir=D:\workspace\MyHadoopApp
[hadoop] INFO [main] ZooKeeper.<init>(373) | Initiating client connection, connectString=127.0.0.1:2181 sessionTimeout=60000 watcher=org.apache.hadoop.hbase.client.HConnectionManager$ClientZKWatcher@cd2c3c
[hadoop] INFO [main-SendThread()] ClientCnxn.startConnect(1041) | Opening socket connection to server /127.0.0.1:2181
[hadoop] INFO [main-SendThread(localhost:2181)] ClientCnxn.primeConnection(949) | Socket connection established to localhost/127.0.0.1:2181, initiating session
[hadoop] INFO [main-SendThread(localhost:2181)] ClientCnxn.readConnectResult(738) | Session establishment complete on server localhost/127.0.0.1:2181, sessionid = 0x12c6c8d8f6d0010, negotiated timeout = 40000
输出结果：
{col:cl_name=陈杰堆cl_9, col:name=陈杰堆9, col:sex=列9, col:cl_age=cl_9, col:cl_sex=列cl_9, col:age=9, col:=陈杰堆nocluster9}
[hadoop] INFO [HCM.shutdownHook] ZooKeeper.close(538) | Session: 0x12c6c8d8f6d0010 closed
[hadoop] INFO [main-EventThread] ClientCnxn.run(520) | EventThread shut down