HBase编程 API入门系列之HTable pool（6）
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。
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。
1、引用“池”超过
HBase编程 API入门系列之put（客户端而言）（1）
上面这种方式
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;
}
}
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>
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_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;
}
}
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
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> 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
这里，我设定的是10个线程池，
其实，很简单，就好比，你来拿一个去用，别人来拿一个去用。等你们用完了，再还回来。（好比跟图书馆里的借书一样）
那有人会问，若我设定的固定10个线程池，都被别人拿完了，若第11个来了，怎办？岂不是，没得拿？
答案：那你就等着呗，等别人还回来。这跟队列是一样的原理。
这样做的理由，很简单，有了线程池，不需，我们再每次都手动配置文件啊连接zk了。因为，在TableConnection.java里，写好了。
2、引用“池”超过
HBase编程 API入门系列之get（客户端而言）（2）
上面这种方式
为了更进一步，给博友们，深层次明白，“池”的魅力，当然，这也是在公司实际开发里，首推和强烈建议去做的。
hbase(main):038:0> 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 0.2280 seconds
hbase(main):039:0>
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();
hbasetest.getValue();
} // 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 void getValue() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Get get = new Get(Bytes.toBytes("row_03"));
get.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
org.apache.hadoop.hbase.client.Result rest = table.get(get);
System.out.println(rest.toString());
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;
}
}
2016-12-11 14:37:12,030 INFO [org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper] - Process identifier=hconnection-0x7660aac9 connecting to ZooKeeper ensemble=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181
2016-12-11 14:37:12,040 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
2016-12-11 14:37:12,041 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:host.name=WIN-BQOBV63OBNM
2016-12-11 14:37:12,041 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.version=1.7.0_51
2016-12-11 14:37:12,041 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.vendor=Oracle Corporation
2016-12-11 14:37:12,041 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.home=C:\Program Files\Java\jdk1.7.0_51\jre
2016-12-11 14:37:12,041 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 14:37:12,042 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 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.io.tmpdir=C:\Users\ADMINI~1\AppData\Local\Temp\
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.compiler=<NA>
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.name=Windows 7
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.arch=amd64
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.version=6.1
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.name=Administrator
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.home=C:\Users\Administrator
2016-12-11 14:37:12,042 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.dir=D:\Code\MyEclipseJavaCode\HbaseProject
2016-12-11 14:37:12,044 INFO [org.apache.zookeeper.ZooKeeper] - Initiating client connection, connectString=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181 sessionTimeout=90000 watcher=hconnection-0x7660aac90x0, quorum=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181, baseZNode=/hbase
2016-12-11 14:37:12,091 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 14:37:12,094 INFO [org.apache.zookeeper.ClientCnxn] - Socket connection established to HadoopMaster/192.168.80.10:2181, initiating session
2016-12-11 14:37:12,162 INFO [org.apache.zookeeper.ClientCnxn] - Session establishment complete on server HadoopMaster/192.168.80.10:2181, sessionid = 0x1582556e7c5001d, negotiated timeout = 40000
keyvalues={row_03/f:name/1478095893278/Put/vlen=5/seqid=0}
3.1、引用“池”超过
HBase编程 API入门系列之delete（客户端而言）（3）
HBase编程 API入门之delete.deleteColumn和delete.deleteColumns区别（客户端而言）（4）
上面这种方式
时间戳版本旧到新，是Andy2 -> Andy1 -> Andy0
先建 后建
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();
// hbasetest.getValue();
hbasetest.delete();
} // public void insertValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Put put = new Put(Bytes.toBytes("row_01"));//行键是row_01
// put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("Andy0"));
// table.put(put);
// table.close();
// } // public void getValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Get get = new Get(Bytes.toBytes("row_03"));
// get.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// org.apache.hadoop.hbase.client.Result rest = table.get(get);
// System.out.println(rest.toString());
// table.close();
// }
// public void delete() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Delete delete = new Delete(Bytes.toBytes("row_01"));
// 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();
} 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;
}
}
delete.deleteColumn和delete.deleteColumns区别是：
deleteColumn是删除某一个列簇里的最新时间戳版本。
delete.deleteColumns是删除某个列簇里的所有时间戳版本。
3.2、引用“池”超过
HBase编程 API入门之delete（客户端而言）
HBase编程 API入门之delete.deleteColumn和delete.deleteColumns区别（客户端而言）
上面这种方式
时间戳版本旧到新，是Andy2 -> Andy1 -> Andy0
先建 后建
时间戳版本旧到新，是Andy2 -> Andy1 -> Andy0
先建 后建
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();
// hbasetest.getValue();
hbasetest.delete();
} // public void insertValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Put put = new Put(Bytes.toBytes("row_01"));//行键是row_01
// put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("Andy0"));
// table.put(put);
// table.close();
// } // public void getValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Get get = new Get(Bytes.toBytes("row_03"));
// get.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// org.apache.hadoop.hbase.client.Result rest = table.get(get);
// System.out.println(rest.toString());
// table.close();
// }
// public void delete() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Delete delete = new Delete(Bytes.toBytes("row_01"));
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();
} 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;
}
}
时间戳版本旧到新，是Andy2 -> Andy1 -> Andy0
先建 后建
delete.deleteColumn和delete.deleteColumns区别是：
deleteColumn是删除某一个列簇里的最新时间戳版本。
delete.deleteColumns是删除某个列簇里的所有时间戳版本。
4、引用“池”超过
HBase编程 API入门之scan（客户端而言）
上面这种方式
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();
// hbasetest.getValue();
// hbasetest.delete();
hbasetest.scanValue();
} // public void insertValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Put put = new Put(Bytes.toBytes("row_01"));//行键是row_01
// put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("Andy0"));
// table.put(put);
// table.close();
// } // public void getValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Get get = new Get(Bytes.toBytes("row_03"));
// get.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// org.apache.hadoop.hbase.client.Result rest = table.get(get);
// System.out.println(rest.toString());
// table.close();
// }
// // public void delete() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Delete delete = new Delete(Bytes.toBytes("row_01"));
// 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();
// } public void scanValue() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Scan scan = new Scan();
scan.setStartRow(Bytes.toBytes("row_02"));//包含开始行键
scan.setStopRow(Bytes.toBytes("row_04"));//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();
} 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;
}
}
2016-12-11 15:14:56,940 INFO [org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper] - Process identifier=hconnection-0x278a676 connecting to ZooKeeper ensemble=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181
2016-12-11 15:14:56,954 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
2016-12-11 15:14:56,954 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:host.name=WIN-BQOBV63OBNM
2016-12-11 15:14:56,954 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.version=1.7.0_51
2016-12-11 15:14:56,954 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.vendor=Oracle Corporation
2016-12-11 15:14:56,954 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.home=C:\Program Files\Java\jdk1.7.0_51\jre
2016-12-11 15:14:56,954 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 15:14:56,955 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 15:14:56,956 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.io.tmpdir=C:\Users\ADMINI~1\AppData\Local\Temp\
2016-12-11 15:14:56,956 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.compiler=<NA>
2016-12-11 15:14:56,956 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.name=Windows 7
2016-12-11 15:14:56,956 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.arch=amd64
2016-12-11 15:14:56,956 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.version=6.1
2016-12-11 15:14:56,957 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.name=Administrator
2016-12-11 15:14:56,957 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.home=C:\Users\Administrator
2016-12-11 15:14:56,957 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.dir=D:\Code\MyEclipseJavaCode\HbaseProject
2016-12-11 15:14:56,958 INFO [org.apache.zookeeper.ZooKeeper] - Initiating client connection, connectString=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181 sessionTimeout=90000 watcher=hconnection-0x278a6760x0, quorum=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181, baseZNode=/hbase
2016-12-11 15:14:57,015 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 15:14:57,018 INFO [org.apache.zookeeper.ClientCnxn] - Socket connection established to HadoopMaster/192.168.80.10:2181, initiating session
2016-12-11 15:14:57,044 INFO [org.apache.zookeeper.ClientCnxn] - Session establishment complete on server HadoopMaster/192.168.80.10:2181, sessionid = 0x1582556e7c50024, negotiated timeout = 40000
org.apache.hadoop.hbase.client.ClientScanner@4362f2fe
keyvalues={row_02/f:name/1478095849538/Put/vlen=5/seqid=0}
family:f
col:name
valueAndy2
keyvalues={row_03/f:name/1478095893278/Put/vlen=5/seqid=0}
family:f
col:name
valueAndy3
好的，其他的功能，就不带领大家去做了，自行去研究。
最后，总结：
在实际开发中，一定要掌握线程池！！！
附上代码
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();
// hbasetest.getValue();
// hbasetest.delete();
hbasetest.scanValue();
}
//生产开发中，建议这样用线程池做
// public void insertValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Put put = new Put(Bytes.toBytes("row_01"));//行键是row_01
// put.add(Bytes.toBytes("f"),Bytes.toBytes("name"),Bytes.toBytes("Andy0"));
// table.put(put);
// table.close();
// }
//生产开发中，建议这样用线程池做
// public void getValue() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Get get = new Get(Bytes.toBytes("row_03"));
// get.addColumn(Bytes.toBytes("f"), Bytes.toBytes("name"));
// org.apache.hadoop.hbase.client.Result rest = table.get(get);
// System.out.println(rest.toString());
// table.close();
// }
//
//生产开发中，建议这样用线程池做
// public void delete() throws Exception{
// HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
// Delete delete = new Delete(Bytes.toBytes("row_01"));
// 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();
//
// }
//生产开发中，建议这样用线程池做
public void scanValue() throws Exception{
HTableInterface table = TableConnection.getConnection().getTable(TableName.valueOf("test_table"));
Scan scan = new Scan();
scan.setStartRow(Bytes.toBytes("row_02"));//包含开始行键
scan.setStopRow(Bytes.toBytes("row_04"));//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();
}
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;
}
}
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;
}
}
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最近在写一个新的项目,用到了新框架,主要是:react+webpack.里面还用到了一个前端工具——gulp. gulp在项目里的作用是打包静态资源.编译less,压缩css等.js并不在处理之列(不 ...
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在linux中SSH服务对应两个配置文件: ssh特点:在传输数据的时候,对文件加密后传输. ssh作用:为远程登录会话和其他网络服务提供安全性协议. ssh小结: 1.SSH是安全的加密协议,用于远 ...
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- VC2010常见问题的解决方案
vc++里面的obj文件是什么文件Project(项目)中每个cpp经编译成为obj(object)目标文件,所有obj文件和资源文件经链接(link)成为可执行文件,obj文件可称为目标文件或中间文 ...