hbase(一) : HTable

Posted 2023-02-14

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参考技术A

hbase1.3
HTable 是我们对数据读取,操作的入口, implements HTableInterface, RegionLocator

内部构造

有一个检查的动作待详细查看.

关于BufferedMutator, 是用来缓存客户端的操作的, hbase 将客户端的DML抽象成了 Mutation , 子类有: Append, Delete, Increment, Put 操作.
put方法将Put对象包装成Mutation,交给BufferedMutator, 到达设置的大小限制,或者主动调用flush操作, 会触发 backgroundFlushCommits(boolean synchronous) 操作, 然后Mutation由 AsyncProcess 提交,详细查看 BufferedMutatorImpl 类.
由 AscncProcess 提交后, (注释:Action类是将行与对应操作结合的类), 由connection去寻找每一行对应的region位置, 包装action, server, region等信息添加到 MutiAction 中去, 这个类持有按照region分组的actions,

然后会对每个action都创建 SingleServerRequestRunnable (rpc caller 和rpc callable, caller call callable), 交给线程池去运行.

删除操作很简单: 创建 RegionServerCallable , 然后rpc工厂类创建rpc caller来调用它

get和scan都是继承了Query
get很简单:首先检查,这个get是否只是检查数据存在否, 并且检查是否指定了一致性等级(默认 (Consistency.STRONG) ), 之后创建rpc请求Request, 如果 不是强一致性Consistency.TIMELINE , 则调用 RpcRetryingCallerWithReadReplicas , 它可以从replica上读取, 返回的数据被标记为stale(读操作是通过 Consistency.TIMELINE ，然后读RPC将会首先发送到主region服务器上，在短时间内（hbase.client.primaryCallTimeout.get默认为10ms），如果主region没有响应RPC会被发送到从region。之后结果会从第一个完成RPC的返回。如果响应是来自主region副本，我们就会知道数据是最新的，Result.isStale() API是检查过期数据，如果结果是从region返回，那么Result.isStale()为true，然后用户就可以检查关于过期数据可能的原因。).

当replica_id=0的regin不可以时候, 给所有的replica region发送请求,获取第一个从这些replica返回的数据, 客户端可以 Result.isStale()检查是否是来自副本的数据

Scan 类可以设置一系列的属性, startkey,endkey, 过滤器, 版本,缓存,最大取回大小等等, 但是获取数据是由 getScanner(Scan)返回的 ResultScanner 操作的.
返回的 ResultScanner 有small, Reversed,big和纯client 的不同,

什么是small scan?

见 https://issues.apache.org/jira/browse/HBASE-7266

hbase里面有两种读操作:pread and seek+read.
pread是一个函数，用于带偏移量地原子的从文件中读取数据。
读路径: https://yq.aliyun.com/articles/602377/
seek + read is fast but can cause two problem:
(1) resource contention
(2) cause too much network io

另外,一些其他的解释:前者适合小于一个数据块（默认64k）的smallScan（openScanner, next, closeScanner将在同一次rpc中实现）；而后者则会使用hdfs预读取，在DN中缓存一些数据（HBASE-7266、HBASE-9488）

查看最普通的 ClientScanner , 初始化的时候调用 initializeScannerInConstruction , 这个方法去调用 nextScanner() , 获取为下一个region准备的scanner , 这个scanner会发起rpc调用, 参数是 ScannerCallable 对象, 这是scanner 的动作的抽象, reversed 和 small 都有对应的 ScannerCallable 子类
ScannerCallable 在初始化后, 的prepare阶段, 会从对应的region,获取对应的server, 获取这个server的ClientService.BlockingInterface接口, 并设置, 以便被调用的时候知道该向谁发起rpc请求

call阶段, 在创建 RequestScan的时候, 参数nextCallSeq在client和server端都维持,,每次调用都会增加, 是为了client能正确获取下一批的数据 .

HBase编程 API入门之HTable pool

　　HTable是一个比较重的对此，比如加载配置文件，连接ZK，查询meta表等等，高并发的时候影响系统的性能，因此引入了“池”的概念。

　　引入“HBase里的连接池”的目的是，

　　　　　　　　　　为了更高的，提高程序的并发和访问速度。

　　从“池”里去拿，拿完之后，放“池”即可。

技术分享

package zhouls.bigdata.HbaseProject.Pool;

import java.io.IOException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.HConnection;
import org.apache.hadoop.hbase.client.HConnectionManager;

public class TableConnection {
private TableConnection(){
}
private static HConnection connection = null;
public static HConnection getConnection(){
if(connection == null){
ExecutorService pool = Executors.newFixedThreadPool(10);//建立一个固定大小的线程池
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum","HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181");
try{
connection = HConnectionManager.createConnection(conf,pool);//创建连接时，拿到配置文件和线程池
}catch (IOException e){
}
}
return connection;
}
}

　　转到程序里，怎么来用这个“池”呢？

　　即，TableConnection是公共的，新建好的“池”。可以一直作为模板啦。

技术分享

package zhouls.bigdata.HbaseProject.Pool;

import java.io.IOException;

import zhouls.bigdata.HbaseProject.Pool.TableConnection;

import javax.xml.transform.Result;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Delete;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.HTableInterface;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.util.Bytes;

public class HBaseTest {

public static void main(String[] args) throws Exception {
// HTable table = new HTable(getConfig(),TableName.valueOf("test_table"));//表名是test_table
// Put put = new Put(Bytes.toBytes("row_04"));//行键是row_04
// put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("Andy1"));//列簇是f，列修饰符是name，值是Andy0
// put.add(Bytes.toBytes("f2"),Bytes.toBytes("name"),Bytes.toBytes("Andy3"));//列簇是f2，列修饰符是name，值是Andy3
// table.put(put);
// table.close();

// Get get = new Get(Bytes.toBytes("row_04"));
// get.addColumn(Bytes.toBytes("f1"), Bytes.toBytes("age"));如现在这样，不指定，默认把所有的全拿出来
// org.apache.hadoop.hbase.client.Result rest = table.get(get);
// System.out.println(rest.toString());
// table.close();

// Delete delete = new Delete(Bytes.toBytes("row_2"));
// delete.deleteColumn(Bytes.toBytes("f1"), Bytes.toBytes("email"));
// delete.deleteColumn(Bytes.toBytes("f1"), Bytes.toBytes("name"));
// table.delete(delete);
// table.close();

// Delete delete = new Delete(Bytes.toBytes("row_04"));
//// delete.deleteColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));//deleteColumn是删除某一个列簇里的最新时间戳版本。
// delete.deleteColumns(Bytes.toBytes("f"), Bytes.toBytes("name"));//delete.deleteColumns是删除某个列簇里的所有时间戳版本。
// table.delete(delete);
// table.close();

// Scan scan = new Scan();
// scan.setStartRow(Bytes.toBytes("row_01"));//包含开始行键
// scan.setStopRow(Bytes.toBytes("row_03"));//不包含结束行键
// scan.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// ResultScanner rst = table.getScanner(scan);//整个循环
// System.out.println(rst.toString());
// for (org.apache.hadoop.hbase.client.Result next = rst.next();next !=null;next = rst.next() )
// {
// for(Cell cell:next.rawCells()){//某个row key下的循坏
// System.out.println(next.toString());
// System.out.println("family:" + Bytes.toString(CellUtil.cloneFamily(cell)));
// System.out.println("col:" + Bytes.toString(CellUtil.cloneQualifier(cell)));
// System.out.println("value" + Bytes.toString(CellUtil.cloneValue(cell)));
// }
// }
// table.close();

HBaseTest hbasetest =new HBaseTest();
hbasetest.insertValue();

}

public void insertValue() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Put put = new Put(Bytes.toBytes("row_04"));//行键是row_01
put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("北京"));
table.put(put);
table.close();
}

public static Configuration getConfig(){
Configuration configuration = new Configuration();
// conf.set("hbase.rootdir","hdfs：HadoopMaster:9000/hbase");
configuration.set("hbase.zookeeper.quorum", "HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181");
return configuration;
}
}

技术分享

hbase(main):035:0> scan ‘test_table‘
ROW COLUMN+CELL
row_01 column=f:col, timestamp=1478095650110, value=maizi
row_01 column=f:name, timestamp=1478095741767, value=Andy2
row_02 column=f:name, timestamp=1478095849538, value=Andy2
row_03 column=f:name, timestamp=1478095893278, value=Andy3
row_04 column=f:name, timestamp=1478096702098, value=Andy1
4 row(s) in 0.1190 seconds

hbase(main):036:0> scan ‘test_table‘
ROW COLUMN+CELL
row_01 column=f:col, timestamp=1478095650110, value=maizi
row_01 column=f:name, timestamp=1478095741767, value=Andy2
row_02 column=f:name, timestamp=1478095849538, value=Andy2
row_03 column=f:name, timestamp=1478095893278, value=Andy3
row_04 column=f:name, timestamp=1478097220790, value=\xE5\x8C\x97\xE4\xBA\xAC
4 row(s) in 0.5970 seconds

hbase(main):037:0>

技术分享

package zhouls.bigdata.HbaseProject.Pool;

import java.io.IOException;

import zhouls.bigdata.HbaseProject.Pool.TableConnection;

import javax.xml.transform.Result;

public class HBaseTest {

// Delete delete = new Delete(Bytes.toBytes("row_04"));
//// delete.deleteColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));//deleteColumn是删除某一个列簇里的最新时间戳版本。
// delete.deleteColumns(Bytes.toBytes("f"), Bytes.toBytes("name"));//delete.deleteColumns是删除某个列簇里的所有时间戳版本。
// table.delete(delete);
// table.close();

// Scan scan = new Scan();
// scan.setStartRow(Bytes.toBytes("row_01"));//包含开始行键
// scan.setStopRow(Bytes.toBytes("row_03"));//不包含结束行键
// scan.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// ResultScanner rst = table.getScanner(scan);//整个循环
// System.out.println(rst.toString());
// for (org.apache.hadoop.hbase.client.Result next = rst.next();next !=null;next = rst.next() )
// {
// for(Cell cell:next.rawCells()){//某个row key下的循坏
// System.out.println(next.toString());
// System.out.println("family:" + Bytes.toString(CellUtil.cloneFamily(cell)));
// System.out.println("col:" + Bytes.toString(CellUtil.cloneQualifier(cell)));
// System.out.println("value" + Bytes.toString(CellUtil.cloneValue(cell)));
// }
// }
// table.close();

HBaseTest hbasetest =new HBaseTest();
hbasetest.insertValue();

}

public void insertValue() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Put put = new Put(Bytes.toBytes("row_05"));//行键是row_01
put.add(Bytes.toBytes("f"),Bytes.toBytes("address"),Bytes.toBytes("beijng"));
table.put(put);
table.close();
}

public static Configuration getConfig(){
Configuration configuration = new Configuration();
// conf.set("hbase.rootdir","hdfs：HadoopMaster:9000/hbase");
configuration.set("hbase.zookeeper.quorum", "HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181");
return configuration;
}
}

技术分享

2016-12-11 14:22:14,784 INFO [org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper] - Process identifier=hconnection-0x19d12e87 connecting to ZooKeeper ensemble=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181
2016-12-11 14:22:14,796 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
2016-12-11 14:22:14,796 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:host.name=WIN-BQOBV63OBNM
2016-12-11 14:22:14,796 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.version=1.7.0_51
2016-12-11 14:22:14,796 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.vendor=Oracle Corporation
2016-12-11 14:22:14,796 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.home=C:\Program Files\Java\jdk1.7.0_51\jre
2016-12-11 14:22:14,797 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.class.path=D:\Code\MyEclipseJavaCode\HbaseProject\bin;D:\SoftWare\hbase-1.2.3\lib\activation-1.1.jar;D:\SoftWare\hbase-1.2.3\lib\aopalliance-1.0.jar;D:\SoftWare\hbase-1.2.3\lib\apacheds-i18n-2.0.0-M15.jar;D:\SoftWare\hbase-1.2.3\lib\apacheds-kerberos-codec-2.0.0-M15.jar;D:\SoftWare\hbase-1.2.3\lib\api-asn1-api-1.0.0-M20.jar;D:\SoftWare\hbase-1.2.3\lib\api-util-1.0.0-M20.jar;D:\SoftWare\hbase-1.2.3\lib\asm-3.1.jar;D:\SoftWare\hbase-1.2.3\lib\avro-1.7.4.jar;D:\SoftWare\hbase-1.2.3\lib\commons-beanutils-1.7.0.jar;D:\SoftWare\hbase-1.2.3\lib\commons-beanutils-core-1.8.0.jar;D:\SoftWare\hbase-1.2.3\lib\commons-cli-1.2.jar;D:\SoftWare\hbase-1.2.3\lib\commons-codec-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\commons-collections-3.2.2.jar;D:\SoftWare\hbase-1.2.3\lib\commons-compress-1.4.1.jar;D:\SoftWare\hbase-1.2.3\lib\commons-configuration-1.6.jar;D:\SoftWare\hbase-1.2.3\lib\commons-daemon-1.0.13.jar;D:\SoftWare\hbase-1.2.3\lib\commons-digester-1.8.jar;D:\SoftWare\hbase-1.2.3\lib\commons-el-1.0.jar;D:\SoftWare\hbase-1.2.3\lib\commons-httpclient-3.1.jar;D:\SoftWare\hbase-1.2.3\lib\commons-io-2.4.jar;D:\SoftWare\hbase-1.2.3\lib\commons-lang-2.6.jar;D:\SoftWare\hbase-1.2.3\lib\commons-logging-1.2.jar;D:\SoftWare\hbase-1.2.3\lib\commons-math-2.2.jar;D:\SoftWare\hbase-1.2.3\lib\commons-math3-3.1.1.jar;D:\SoftWare\hbase-1.2.3\lib\commons-net-3.1.jar;D:\SoftWare\hbase-1.2.3\lib\disruptor-3.3.0.jar;D:\SoftWare\hbase-1.2.3\lib\findbugs-annotations-1.3.9-1.jar;D:\SoftWare\hbase-1.2.3\lib\guava-12.0.1.jar;D:\SoftWare\hbase-1.2.3\lib\guice-3.0.jar;D:\SoftWare\hbase-1.2.3\lib\guice-servlet-3.0.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-annotations-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-auth-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-client-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-common-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-hdfs-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-mapreduce-client-app-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-mapreduce-client-common-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-mapreduce-client-core-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-mapreduce-client-jobclient-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-mapreduce-client-shuffle-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-yarn-api-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-yarn-client-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-yarn-common-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hadoop-yarn-server-common-2.5.1.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-annotations-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-annotations-1.2.3-tests.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-client-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-common-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-common-1.2.3-tests.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-examples-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-external-blockcache-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-hadoop2-compat-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-hadoop-compat-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-it-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-it-1.2.3-tests.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-prefix-tree-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-procedure-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-protocol-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-resource-bundle-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-rest-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-server-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-server-1.2.3-tests.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-shell-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\hbase-thrift-1.2.3.jar;D:\SoftWare\hbase-1.2.3\lib\htrace-core-3.1.0-incubating.jar;D:\SoftWare\hbase-1.2.3\lib\httpclient-4.2.5.jar;D:\SoftWare\hbase-1.2.3\lib\httpcore-4.4.1.jar;D:\SoftWare\hbase-1.2.3\lib\jackson-core-asl-1.9.13.jar;D:\SoftWare\hbase-1.2.3\lib\jackson-jaxrs-1.9.13.jar;D:\SoftWare\hbase-1.2.3\lib\jackson-mapper-asl-1.9.13.jar;D:\SoftWare\hbase-1.2.3\lib\jackson-xc-1.9.13.jar;D:\SoftWare\hbase-1.2.3\lib\jamon-runtime-2.4.1.jar;D:\SoftWare\hbase-1.2.3\lib\jasper-compiler-5.5.23.jar;D:\SoftWare\hbase-1.2.3\lib\jasper-runtime-5.5.23.jar;D:\SoftWare\hbase-1.2.3\lib\javax.inject-1.jar;D:\SoftWare\hbase-1.2.3\lib\java-xmlbuilder-0.4.jar;D:\SoftWare\hbase-1.2.3\lib\jaxb-api-2.2.2.jar;D:\SoftWare\hbase-1.2.3\lib\jaxb-impl-2.2.3-1.jar;D:\SoftWare\hbase-1.2.3\lib\jcodings-1.0.8.jar;D:\SoftWare\hbase-1.2.3\lib\jersey-client-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\jersey-core-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\jersey-guice-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\jersey-json-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\jersey-server-1.9.jar;D:\SoftWare\hbase-1.2.3\lib\jets3t-0.9.0.jar;D:\SoftWare\hbase-1.2.3\lib\jettison-1.3.3.jar;D:\SoftWare\hbase-1.2.3\lib\jetty-6.1.26.jar;D:\SoftWare\hbase-1.2.3\lib\jetty-sslengine-6.1.26.jar;D:\SoftWare\hbase-1.2.3\lib\jetty-util-6.1.26.jar;D:\SoftWare\hbase-1.2.3\lib\joni-2.1.2.jar;D:\SoftWare\hbase-1.2.3\lib\jruby-complete-1.6.8.jar;D:\SoftWare\hbase-1.2.3\lib\jsch-0.1.42.jar;D:\SoftWare\hbase-1.2.3\lib\jsp-2.1-6.1.14.jar;D:\SoftWare\hbase-1.2.3\lib\jsp-api-2.1-6.1.14.jar;D:\SoftWare\hbase-1.2.3\lib\junit-4.12.jar;D:\SoftWare\hbase-1.2.3\lib\leveldbjni-all-1.8.jar;D:\SoftWare\hbase-1.2.3\lib\libthrift-0.9.3.jar;D:\SoftWare\hbase-1.2.3\lib\log4j-1.2.17.jar;D:\SoftWare\hbase-1.2.3\lib\metrics-core-2.2.0.jar;D:\SoftWare\hbase-1.2.3\lib\netty-all-4.0.23.Final.jar;D:\SoftWare\hbase-1.2.3\lib\paranamer-2.3.jar;D:\SoftWare\hbase-1.2.3\lib\protobuf-java-2.5.0.jar;D:\SoftWare\hbase-1.2.3\lib\servlet-api-2.5.jar;D:\SoftWare\hbase-1.2.3\lib\servlet-api-2.5-6.1.14.jar;D:\SoftWare\hbase-1.2.3\lib\slf4j-api-1.7.7.jar;D:\SoftWare\hbase-1.2.3\lib\slf4j-log4j12-1.7.5.jar;D:\SoftWare\hbase-1.2.3\lib\snappy-java-1.0.4.1.jar;D:\SoftWare\hbase-1.2.3\lib\spymemcached-2.11.6.jar;D:\SoftWare\hbase-1.2.3\lib\xmlenc-0.52.jar;D:\SoftWare\hbase-1.2.3\lib\xz-1.0.jar;D:\SoftWare\hbase-1.2.3\lib\zookeeper-3.4.6.jar
2016-12-11 14:22:14,797 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.library.path=C:\Program Files\Java\jdk1.7.0_51\bin;C:\Windows\Sun\Java\bin;C:\Windows\system32;C:\Windows;C:\ProgramData\Oracle\Java\javapath;C:\Python27\;C:\Python27\Scripts;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;D:\SoftWare\MATLAB R2013a\runtime\win64;D:\SoftWare\MATLAB R2013a\bin;C:\Program Files (x86)\IDM Computer Solutions\UltraCompare;C:\Program Files\Java\jdk1.7.0_51\bin;C:\Program Files\Java\jdk1.7.0_51\jre\bin;D:\SoftWare\apache-ant-1.9.0\bin;HADOOP_HOME\bin;D:\SoftWare\apache-maven-3.3.9\bin;D:\SoftWare\Scala\bin;D:\SoftWare\Scala\jre\bin;%MYSQL_HOME\bin;D:\SoftWare\MySQL Server\MySQL Server 5.0\bin;D:\SoftWare\apache-tomcat-7.0.69\bin;%C:\Windows\System32;%C:\Windows\SysWOW64;D:\SoftWare\SSH Secure Shell;.
2016-12-11 14:22:14,798 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.io.tmpdir=C:\Users\ADMINI~1\AppData\Local\Temp\
2016-12-11 14:22:14,798 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.compiler=<NA>
2016-12-11 14:22:14,798 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.name=Windows 7
2016-12-11 14:22:14,798 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.arch=amd64
2016-12-11 14:22:14,798 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.version=6.1
2016-12-11 14:22:14,799 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.name=Administrator
2016-12-11 14:22:14,799 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.home=C:\Users\Administrator
2016-12-11 14:22:14,799 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.dir=D:\Code\MyEclipseJavaCode\HbaseProject
2016-12-11 14:22:14,801 INFO [org.apache.zookeeper.ZooKeeper] - Initiating client connection, connectString=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181 sessionTimeout=90000 watcher=hconnection-0x19d12e870x0, quorum=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181, baseZNode=/hbase
2016-12-11 14:22:14,853 INFO [org.apache.zookeeper.ClientCnxn] - Opening socket connection to server HadoopMaster/192.168.80.10:2181. Will not attempt to authenticate using SASL (unknown error)
2016-12-11 14:22:14,855 INFO [org.apache.zookeeper.ClientCnxn] - Socket connection established to HadoopMaster/192.168.80.10:2181, initiating session
2016-12-11 14:22:14,960 INFO [org.apache.zookeeper.ClientCnxn] - Session establishment complete on server HadoopMaster/192.168.80.10:2181, sessionid = 0x1582556e7c5001c, negotiated timeout = 40000

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hbase(main):037:0> scan ‘test_table‘
ROW COLUMN+CELL
row_01 column=f:col, timestamp=1478095650110, value=maizi
row_01 column=f:name, timestamp=1478095741767, value=Andy2
row_02 column=f:name, timestamp=1478095849538, value=Andy2
row_03 column=f:name, timestamp=1478095893278, value=Andy3
row_04 column=f:name, timestamp=1478097227253, value=\xE5\x8C\x97\xE4\xBA\xAC
row_05 column=f:address, timestamp=1478097364649, value=beijng
5 row(s) in 0.2630 seconds

hbase(main):038:0>

　　即，这就是，“池”的概念，会一直保持。

　　详细分析

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