　　大家，若是看过我前期的这篇博客的话，则

HBase编程 API入门系列之put（客户端而言）（1）

　　就知道，在这篇博文里，我是在HBase Shell里创建HBase表的。

　　这里，我带领大家，学习更高级的，因为，在开发中，尽量不能去服务器上创建表。

　　所以，在管理端来创建HBase表。采用线程池的方式（也是生产开发里首推的）。

 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;

     }

 }

1、最简单的创建HBase表

　　查看，当前已创建有的表

hbase(main):055:0> list
TABLE
test_table
test_table2
2 row(s) in 1.1030 seconds

=> ["test_table", "test_table2"]
hbase(main):056:0>

 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.HColumnDescriptor;

 import org.apache.hadoop.hbase.HTableDescriptor;

 import org.apache.hadoop.hbase.MasterNotRunningException;

 import org.apache.hadoop.hbase.TableName;

 import org.apache.hadoop.hbase.ZooKeeperConnectionException;

 import org.apache.hadoop.hbase.client.Delete;

 import org.apache.hadoop.hbase.client.Get;

 import org.apache.hadoop.hbase.client.HBaseAdmin;

 import org.apache.hadoop.hbase.client.HTable;

 import org.apache.hadoop.hbase.client.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();

         hbasetest.createTable("test_table3", "f");

     }    

 //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();

 //    }

 //    

 //生产开发中，建议这样用线程池做

     public void createTable(String tableName,String family) throws MasterNotRunningException, ZooKeeperConnectionException, IOException{

         Configuration conf = HBaseConfiguration.create(getConfig());

         HBaseAdmin admin = new HBaseAdmin(conf);

         HTableDescriptor tableDesc = new HTableDescriptor(TableName.valueOf(tableName));

         HColumnDescriptor hcd = new HColumnDescriptor(family);

         tableDesc.addFamily(hcd);

         admin.createTable(tableDesc);

         admin.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;

     }

 }

　　即，创建成功。

hbase(main):057:0> list
TABLE
test_table
test_table2
2 row(s) in 4.1700 seconds

=> ["test_table", "test_table2"]
hbase(main):058:0> list
TABLE
test_table
test_table2
test_table3
3 row(s) in 0.0560 seconds

=> ["test_table", "test_table2", "test_table3"]
hbase(main):059:0> desc 'test_table3'
Table test_table3 is ENABLED
test_table3
COLUMN FAMILIES DESCRIPTION
{NAME => 'f', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER => 'ROW', REPLICATION_SCOPE => '0', VERSIONS => '1', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => 'FOREVER', KEEP_DELETED_CELLS
=> 'FALSE', BLOCKSIZE => '65536', IN_MEMORY => 'false', BLOCKCACHE => 'true'}
1 row(s) in 1.2370 seconds

2、带最大版本数，创建HBase表

 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.HColumnDescriptor;

 import org.apache.hadoop.hbase.HTableDescriptor;

 import org.apache.hadoop.hbase.MasterNotRunningException;

 import org.apache.hadoop.hbase.TableName;

 import org.apache.hadoop.hbase.ZooKeeperConnectionException;

 import org.apache.hadoop.hbase.client.Delete;

 import org.apache.hadoop.hbase.client.Get;

 import org.apache.hadoop.hbase.client.HBaseAdmin;

 import org.apache.hadoop.hbase.client.HTable;

 import org.apache.hadoop.hbase.client.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();

         hbasetest.createTable("test_table4", "f");

 }

 //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();

 //    }

 //    

 //生产开发中，建议这样用线程池做

     public void createTable(String tableName,String family) throws MasterNotRunningException, ZooKeeperConnectionException, IOException{

         Configuration conf = HBaseConfiguration.create(getConfig());

         HBaseAdmin admin = new HBaseAdmin(conf);

         HTableDescriptor tableDesc = new HTableDescriptor(TableName.valueOf(tableName));

         HColumnDescriptor hcd = new HColumnDescriptor(family);

         hcd.setMaxVersions(3);

         tableDesc.addFamily(hcd);

         admin.createTable(tableDesc);

         admin.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):060:0> list
TABLE
test_table
test_table2
test_table3
test_table4
4 row(s) in 0.0980 seconds

=> ["test_table", "test_table2", "test_table3", "test_table4"]
hbase(main):061:0> desc 'test_table4'
Table test_table4 is ENABLED
test_table4
COLUMN FAMILIES DESCRIPTION
{NAME => 'f', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER => 'ROW', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => 'FOREVER', KEEP_DELETED_CELLS
=> 'FALSE', BLOCKSIZE => '65536', IN_MEMORY => 'false', BLOCKCACHE => 'true'}
1 row(s) in 0.1480 seconds

hbase(main):062:0>

3、更多带的创建操作，创建HBase表

 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.HColumnDescriptor;

 import org.apache.hadoop.hbase.HTableDescriptor;

 import org.apache.hadoop.hbase.MasterNotRunningException;

 import org.apache.hadoop.hbase.TableName;

 import org.apache.hadoop.hbase.ZooKeeperConnectionException;

 import org.apache.hadoop.hbase.client.Delete;

 import org.apache.hadoop.hbase.client.Get;

 import org.apache.hadoop.hbase.client.HBaseAdmin;

 import org.apache.hadoop.hbase.client.HTable;

 import org.apache.hadoop.hbase.client.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();

         hbasetest.createTable("test_table4", "f");

 }

 //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();

 //    }

 //    

 //生产开发中，建议这样用线程池做

     public void createTable(String tableName,String family) throws MasterNotRunningException, ZooKeeperConnectionException, IOException{

         Configuration conf = HBaseConfiguration.create(getConfig());

         HBaseAdmin admin = new HBaseAdmin(conf);

         HTableDescriptor tableDesc = new HTableDescriptor(TableName.valueOf(tableName));

         HColumnDescriptor hcd = new HColumnDescriptor(family);

         hcd.setMaxVersions(3);

 //        hcd.set//很多的带创建操作，我这里只抛砖引玉的作用

         tableDesc.addFamily(hcd);

         admin.createTable(tableDesc);

         admin.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;

     }

 }

4、先判断表是否存在，再来删创建HBase表（生产开发首推）

 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.HColumnDescriptor;

 import org.apache.hadoop.hbase.HTableDescriptor;

 import org.apache.hadoop.hbase.MasterNotRunningException;

 import org.apache.hadoop.hbase.TableName;

 import org.apache.hadoop.hbase.ZooKeeperConnectionException;

 import org.apache.hadoop.hbase.client.Delete;

 import org.apache.hadoop.hbase.client.Get;

 import org.apache.hadoop.hbase.client.HBaseAdmin;

 import org.apache.hadoop.hbase.client.HTable;

 import org.apache.hadoop.hbase.client.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();

         hbasetest.createTable("test_table3", "f");//先判断表是否存在，再来创建HBase表（生产开发首推）

 //        hbasetest.deleteTable("test_table4");//先判断表是否存在，再来删除HBase表（生产开发首推）

     }

 //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();

 //    }

 //生产开发中，建议这样用线程池做

     public void createTable(String tableName,String family) throws MasterNotRunningException, ZooKeeperConnectionException, IOException{

         Configuration conf = HBaseConfiguration.create(getConfig());

         HBaseAdmin admin = new HBaseAdmin(conf);

         HTableDescriptor tableDesc = new HTableDescriptor(TableName.valueOf(tableName));

         HColumnDescriptor hcd = new HColumnDescriptor(family);

         hcd.setMaxVersions(3);

 //        hcd.set//很多的带创建操作，我这里只抛砖引玉的作用

         tableDesc.addFamily(hcd);

         if (!admin.tableExists(tableName)){

             admin.createTable(tableDesc);

         }else{

             System.out.println(tableName + "exist");

         }

         admin.close();

 }

 //生产开发中，建议这样用线程池做

 //    public void deleteTable(String tableName)throws MasterNotRunningException, ZooKeeperConnectionException, IOException{

 //        Configuration conf = HBaseConfiguration.create(getConfig());

 //        HBaseAdmin admin = new HBaseAdmin(conf);

 //        if (admin.tableExists(tableName)){

 //        admin.disableTable(tableName);

 //        admin.deleteTable(tableName);

 //        }else{

 //        System.out.println(tableName + "not exist");

 //        }

 //        admin.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 16:39:36,396 INFO [org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper] - Process identifier=hconnection-0x7cb96ac0 connecting to ZooKeeper ensemble=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181
2016-12-11 16:39:36,413 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
2016-12-11 16:39:36,413 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:host.name=WIN-BQOBV63OBNM
2016-12-11 16:39:36,413 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.version=1.7.0_51
2016-12-11 16:39:36,413 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.vendor=Oracle Corporation
2016-12-11 16:39:36,413 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.home=C:\Program Files\Java\jdk1.7.0_51\jre
2016-12-11 16:39:36,413 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 16:39:36,414 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 16:39:36,414 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.io.tmpdir=C:\Users\ADMINI~1\AppData\Local\Temp\
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:java.compiler=<NA>
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.name=Windows 7
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.arch=amd64
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:os.version=6.1
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.name=Administrator
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.home=C:\Users\Administrator
2016-12-11 16:39:36,415 INFO [org.apache.zookeeper.ZooKeeper] - Client environment:user.dir=D:\Code\MyEclipseJavaCode\HbaseProject
2016-12-11 16:39:36,417 INFO [org.apache.zookeeper.ZooKeeper] - Initiating client connection, connectString=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181 sessionTimeout=90000 watcher=hconnection-0x7cb96ac00x0, quorum=HadoopMaster:2181,HadoopSlave1:2181,HadoopSlave2:2181, baseZNode=/hbase
2016-12-11 16:39:36,504 INFO [org.apache.zookeeper.ClientCnxn] - Opening socket connection to server HadoopSlave1/192.168.80.11:2181. Will not attempt to authenticate using SASL (unknown error)
2016-12-11 16:39:36,511 INFO [org.apache.zookeeper.ClientCnxn] - Socket connection established to HadoopSlave1/192.168.80.11:2181, initiating session
2016-12-11 16:39:36,527 INFO [org.apache.zookeeper.ClientCnxn] - Session establishment complete on server HadoopSlave1/192.168.80.11:2181, sessionid = 0x25872b4d2c50026, negotiated timeout = 40000
test_table3exist
2016-12-11 16:39:38,139 INFO [org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation] - Closing zookeeper sessionid=0x25872b4d2c50026
2016-12-11 16:39:38,156 INFO [org.apache.zookeeper.ZooKeeper] - Session: 0x25872b4d2c50026 closed
2016-12-11 16:39:38,156 INFO [org.apache.zookeeper.ClientCnxn] - EventThread shut down

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HBase编程 API入门系列之create（管理端而言）（8）

HBase编程 API入门系列之put（客户端而言）（1）

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