Java操作Hbase进行建表、删表以及对数据进行增删改查，条件查询
1.开发架构简介
Hadoop-2.6.0
Hbase-1.1.2
2. 新建maven项目,引进jar包
<!-- hadoop-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-common</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-client</artifactId>
<version>2.6.0</version>
</dependency>
<!-- hbase --> <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase --> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase</artifactId> <version>1.1.2</version> <type>pom</type> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-client</artifactId> <version>1.1.2</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-common</artifactId> <version>1.1.2</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-protocol</artifactId> <version>1.1.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-hadoop2-compat --> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-hadoop2-compat</artifactId> <version>1.1.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-hadoop-compat --> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-hadoop-compat</artifactId> <version>1.1.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-server --> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-server</artifactId> <version>1.1.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-protocol --> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-protocol</artifactId> <version>1.1.2</version> </dependency>3.需要加载的类
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.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.HTablePool;
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.filter.Filter;
import org.apache.hadoop.hbase.filter.FilterList;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp;
import org.apache.hadoop.hbase.util.Bytes; ;
import org.junit.Test;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
4.增删改查程序代码
public class hbase_zsgc {
public static Configuration configuration;
static {
configuration = HBaseConfiguration.create();
configuration.set("hbase.zookeeper.property.clientPort", "2181");
configuration.set("hbase.zookeeper.quorum", "192.168.56.102");
}
@Test
public static void main(String[] args) {
//createTable("test3");
// insertData("test3");
//QueryAll("test3");
// QueryByCondition1("test3","112233bbbcccc");
//QueryByCondition2("test3");
//QueryByCondition3("test3");
//deleteRow("test","row1");
// deleteByCondition("test","aaa");
//dropTable("test1");
}
/**
* 创建表
* @param tableName
*/
public static void createTable(String tableName) {
System.out.println("start create table ......");
try {
HBaseAdmin hBaseAdmin = null;
try {
hBaseAdmin = new HBaseAdmin(configuration);
} catch (IOException e) {
e.printStackTrace();
}
if (hBaseAdmin.tableExists(tableName)) {// 如果存在要创建的表，那么先删除，再创建
hBaseAdmin.disableTable(tableName);
hBaseAdmin.deleteTable(tableName);
System.out.println(tableName + " is exist,detele....");
}
HTableDescriptor tableDescriptor = new HTableDescriptor(tableName);
tableDescriptor.addFamily(new HColumnDescriptor("column1"));
tableDescriptor.addFamily(new HColumnDescriptor("column2"));
tableDescriptor.addFamily(new HColumnDescriptor("column3"));
hBaseAdmin.createTable(tableDescriptor);
} catch (Exception e) {
e.printStackTrace();
}
System.out.println("end create table ......");
}
/**
* 插入数据
* @param tableName
*/
public static void insertData(String tableName) {
System.out.println("start insert data ......");
HTablePool pool = new HTablePool(configuration, 1000);
Put put = new Put("112233bbbcccc".getBytes());// 一个PUT代表一行数据，再NEW一个PUT表示第二行数据,每行一个唯一的ROWKEY，此处rowkey为put构造方法中传入的值
put.add("column1".getBytes(), null, "aaa".getBytes());// 本行数据的第一列
put.add("column2".getBytes(), null, "bbb".getBytes());// 本行数据的第三列
put.add("column3".getBytes(), null, "ccc".getBytes());// 本行数据的第三列
try {
//如今应用的api版本中pool.getTable返回的类型是HTableInterface ，无法强转为HTable
pool.getTable(tableName).put(put);
}catch (Exception e){
}
System.out.println("end insert data ......");
}
/**
* 删除一张表
* @param tableName
*/
public static void dropTable(String tableName) {
try {
HBaseAdmin admin = new HBaseAdmin(configuration);
admin.disableTable(tableName);
admin.deleteTable(tableName);
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 根据 rowkey删除一条记录
* @param tablename
* @param rowkey
*/
public static void deleteRow(String tablename, String rowkey) {
try {
HTable table = new HTable(configuration, tablename);
List list = new ArrayList();
Delete d1 = new Delete(rowkey.getBytes());
list.add(d1);
table.delete(list);
System.out.println("删除行成功!");
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 组合条件删除
* @param tablename
* @param rowkey
*/
public static void deleteByCondition(String tablename, String rowkey) {
//目前还没有发现有效的API能够实现 根据非rowkey的条件删除 这个功能能，还有清空表全部数据的API操作
}
/**
* 查询所有数据
* @param tableName
*/
public static void QueryAll(String tableName) {
HTablePool pool = new HTablePool(configuration, 1000);
try {
//如今应用的api版本中pool.getTable返回的类型是HTableInterface ，无法强转为HTable
ResultScanner rs = pool.getTable(tableName).getScanner(new Scan());
for (Result r : rs) {
System.out.println("获得到rowkey:" + new String(r.getRow()));
for (KeyValue keyValue : r.raw()) {
System.out.println("列：" + new String(keyValue.getFamily())
+ "====值:" + new String(keyValue.getValue()));
}
}
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 单条件查询,根据rowkey查询唯一一条记录
* @param tableName
*/
public static void QueryByCondition1(String tableName ,String rowKet) {
HTablePool pool = new HTablePool(configuration, 1000);
try {
Get scan = new Get(rowKet.getBytes());// 根据rowkey查询
//如今应用的api版本中pool.getTable返回的类型是HTableInterface ，无法强转为HTable
Result r = pool.getTable(tableName).get(scan);
System.out.println("获得到rowkey:" + new String(r.getRow()));
for (KeyValue keyValue : r.raw()) {
System.out.println("列：" + new String(keyValue.getFamily())
+ "====值:" + new String(keyValue.getValue()));
}
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 单条件按查询，查询多条记录
* @param tableName
*/
public static void QueryByCondition2(String tableName) {
try {
HTablePool pool = new HTablePool(configuration, 1000);
Filter filter = new SingleColumnValueFilter(Bytes.toBytes("column1"), null, CompareOp.EQUAL,
Bytes.toBytes("bbb")); // 当列column1的值为aaa时进行查询
Scan s = new Scan();
s.setFilter(filter);
ResultScanner rs = pool.getTable(tableName).getScanner(s);
for (Result r : rs) {
System.out.println("获得到rowkey:" + new String(r.getRow()));
for (KeyValue keyValue : r.raw()) {
System.out.println("列：" + new String(keyValue.getFamily())
+ "====值:" + new String(keyValue.getValue()));
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 组合条件查询
* @param tableName
*/
public static void QueryByCondition3(String tableName) {
try {
HTablePool pool = new HTablePool(configuration, 1000);
List<Filter> filters = new ArrayList<Filter>();
Filter filter1 = new SingleColumnValueFilter(Bytes
.toBytes("column1"), null,CompareOp.EQUAL, Bytes
.toBytes("aaa"));
filters.add(filter1);
Filter filter2 = new SingleColumnValueFilter(Bytes
.toBytes("column2"), null, CompareOp.EQUAL, Bytes
.toBytes("bbb"));
filters.add(filter2);
Filter filter3 = new SingleColumnValueFilter(Bytes
.toBytes("column3"), null, CompareOp.EQUAL, Bytes
.toBytes("ccc"));
filters.add(filter3);
FilterList filterList1 = new FilterList(filters);
Scan scan = new Scan();
scan.setFilter(filterList1);
ResultScanner rs = pool.getTable(tableName).getScanner(scan);
for (Result r : rs) {
System.out.println("获得到rowkey:" + new String(r.getRow()));
for (KeyValue keyValue : r.raw()) {
System.out.println("列：" + new String(keyValue.getFamily())
+ "====值:" + new String(keyValue.getValue()));
}
}
rs.close();
} catch (Exception e) {
e.printStackTrace();
}
}
}