这篇文章将为大家详细讲解有关HBase基本API操作之CRUD的示例分析，小编觉得挺实用的，因此分享给大家做个参考，希望大家阅读完这篇文章后可以有所收获。
import java.io.IOException; import java.util.Arrays; import java.util.List; 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.TableName; import org.apache.hadoop.hbase.client.Admin; import org.apache.hadoop.hbase.client.Connection; import org.apache.hadoop.hbase.client.ConnectionFactory; import org.apache.hadoop.hbase.client.Delete; import org.apache.hadoop.hbase.client.Get; import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.client.ResultScanner; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.client.Table; import org.apache.hadoop.hbase.util.Bytes;
创建一张userinfo表,对其表进行相关操作。
public class TestHBase {
public static void main(String[] args) throws IOException {
//2.获得会话
Admin admin = null;
Connection con = null;
try {
//操作hbase数据库
//1.建立连接
Configuration conf = HBaseConfiguration.create(); //获得配制文件对象
conf.set("hbase.zookeeper.quorum", "192.168.226.129");
con = ConnectionFactory.createConnection(conf); //获得连接对象
admin = con.getAdmin();
//3.操作
//建立数据库
//a.判断数据库是否存在
TableName tn = TableName.valueOf("userinfo"); //创建表名对象
if ( admin.tableExists(tn) ) {
System.out.println("----> 表存在, 删除表.....");
admin.disableTable(tn); //使用表失效
admin.deleteTable(tn); //删除表
System.out.println("----> 删除表成功....");
}else{
System.out.println("----> 表不存在, 创建表.....");
}
//创建表结构对象：用于描述表名和相关的列族
HTableDescriptor htd = new HTableDescriptor(tn);
//创建族列结构对象
HColumnDescriptor hcd1 = new HColumnDescriptor("familycolumn1");
HColumnDescriptor hcd2 = new HColumnDescriptor("familycolumn2");
//描述相关的列族
htd.addFamily(hcd1);
htd.addFamily(hcd2);
//创建表
admin.createTable(htd);
System.out.println("创建表成功....");
//在表中插入数据
//a.单个插入
//参数是行键 "row01".getBytes()
Put put = new Put(Bytes.toBytes("row1"));
//定位行： put.addColumn(family, qualifier, value)
put.addColumn(Bytes.toBytes("familycolumn1"), Bytes.toBytes("name"), Bytes.toBytes("Berg"));
//获得表对象
Table table = con.getTable(tn);
table.put(put); //添加数据
//b.批量插入
Put put01 = new Put(Bytes.toBytes("row2"));
put01.addColumn(Bytes.toBytes("familycolumn2"), Bytes.toBytes("sex"), Bytes.toBytes("male")).
addColumn(Bytes.toBytes("familycolumn2"), Bytes.toBytes("age"), Bytes.toBytes("22"));
Put put02 = new Put(Bytes.toBytes("row3")); //参数是行键 "row01".getBytes()
put02.addColumn(Bytes.toBytes("familycolumn1"), Bytes.toBytes("sex"), Bytes.toBytes("female"));
List<Put> puts = Arrays.asList(put01, put02);
Table table02 = con.getTable(tn); //获得表对象
table02.put(puts);
//*********************************
//读取操作
//实例化scan对象。
Scan scan = new Scan();
Table table03 = con.getTable(tn); //获得表对象
ResultScanner rs = table03.getScanner(scan);
for (Result result : rs) {
List<Cell> cs = result.listCells();
for (Cell cell : cs) {
String rowKey = Bytes.toString(CellUtil.cloneRow(cell)); //取行键
long timestamp = cell.getTimestamp(); //取到时间戳
String family = Bytes.toString(CellUtil.cloneFamily(cell)); //取到族列
String qualifier = Bytes.toString(CellUtil.cloneQualifier(cell)); //取到修饰名
String value = Bytes.toString(CellUtil.cloneValue(cell)); //取到值
System.out.println("rowKey : " + rowKey + ", timestamp : " +
timestamp + ", family : " + family + ", qualifier : " + qualifier + ", value : " + value);
}
}
System.out.println(" \n\n*****************get取数据*****************:");
//get
Get get = new Get(Bytes.toBytes("row2"));
get.addColumn(Bytes.toBytes("familycolumn2"), Bytes.toBytes("sex"));
Table t04 = con.getTable(tn);
Result r = t04.get(get);
List<Cell> cs = r.listCells();
for (Cell cell : cs) {
String rowKey = Bytes.toString(CellUtil.cloneRow(cell)); //取行键
long timestamp = cell.getTimestamp(); //取到时间戳
String family = Bytes.toString(CellUtil.cloneFamily(cell)); //取到族列
String qualifier = Bytes.toString(CellUtil.cloneQualifier(cell)); //取到修饰名
String value = Bytes.toString(CellUtil.cloneValue(cell)); //取到值
System.out.println("rowKey : " + rowKey + ", timestamp : " +
timestamp + ", family : " + family + ", qualifier : " + qualifier + ", value : " + value);
}
//删除数据
System.out.println(" \n\n*****************delete删除数据*****************:");
Delete delete = new Delete(Bytes.toBytes("row2"));
delete.addColumn(Bytes.toBytes("familycolumn2"), Bytes.toBytes("age"));
Table t05 = con.getTable(tn);
t05.delete(delete);
System.out.println(" \n\n*****************delete删除数据后*****************:");
//scan
scan = new Scan();
table03 = con.getTable(tn); //获得表对象
rs = table03.getScanner(scan);
for (Result result : rs) {
cs = result.listCells();
for (Cell cell : cs) {
String rowKey = Bytes.toString(CellUtil.cloneRow(cell)); //取行键
long timestamp = cell.getTimestamp(); //取到时间戳
String family = Bytes.toString(CellUtil.cloneFamily(cell)); //取到族列
String qualifier = Bytes.toString(CellUtil.cloneQualifier(cell)); //取到修饰名
String value = Bytes.toString(CellUtil.cloneValue(cell)); //取到值
System.out.println("rowKey : " + rowKey + ", timestamp : " +
timestamp + ", family : " + family + ", qualifier : " + qualifier + ", value : " + value);
}
}
} catch (IOException e) {
e.printStackTrace();
}
//4.关闭
try {
if (admin != null){
admin.close();
}
if(con != null){
con.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
}//运行结果：
----> 表存在, 删除表..... ----> 删除表成功.... 创建表成功.... rowKey : row1, timestamp : 1463486961279, family : familycolumn1, qualifier : name, value : Berg rowKey : row2, timestamp : 1463486961289, family : familycolumn2, qualifier : age, value : 22 rowKey : row2, timestamp : 1463486961289, family : familycolumn2, qualifier : sex, value : male rowKey : row3, timestamp : 1463486961289, family : familycolumn1, qualifier : sex, value : female *****************get取数据*****************: rowKey : row2, timestamp : 1463486961289, family : familycolumn2, qualifier : sex, value : male *****************delete删除数据*****************: *****************delete删除数据后*****************: rowKey : row1, timestamp : 1463486961279, family : familycolumn1, qualifier : name, value : Berg rowKey : row2, timestamp : 1463486961289, family : familycolumn2, qualifier : sex, value : male rowKey : row3, timestamp : 1463486961289, family : familycolumn1, qualifier : sex, value : female
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