HBase Java简单示例

Hbase采用Java实现，原生客户端也是Java实现，美国服务器，其他语言需要通过thritf接口服务间接访问Hbase的数据。

Hbase作为大数据存储数据库，美国服务器，其写能力非常强，加上Hbase本身就脱胎于Hadoop故和Hadoop的兼容性极好，非常适合于存储半规则数据(灵活、可扩展性强、大数据存储)。基于Hadoop的mapreduce + Hbase存储，非常适合处理大数据。

Hbase基本使用示例：

import java.io.IOException; import java.util.ArrayList; import java.util.List;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.MasterNotRunningException; 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.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;public class HbaseTest {public static Configuration configuration;static {configuration = HBaseConfiguration.create();configuration.set(“hbase.zookeeper.property.clientPort”, “2181”);configuration.set(“hbase.zookeeper.quorum”, “192.168.1.100”);configuration.set(“hbase.master”, “192.168.1.100:600000”);} main(String[] args) {// createTable(“wujintao”);// insertData(“wujintao”);// QueryAll(“wujintao”);// QueryByCondition1(“wujintao”);// QueryByCondition2(“wujintao”);//QueryByCondition3(“wujintao”);//deleteRow(“wujintao”,”abcdef”); deleteByCondition(“wujintao”,”abcdef”);} createTable(String tableName) {System.out.println(“start create table ……”);try {HBaseAdmin hBaseAdmin = new HBaseAdmin(configuration);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 (MasterNotRunningException e) {e.printStackTrace();} catch (ZooKeeperConnectionException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}System.out.println(“end create table ……”);} insertData(String tableName) {System.out.println(“start insert data ……”);HTablePool pool = new HTablePool(configuration, 1000);HTable table = (HTable) pool.getTable(tableName);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(), {table.put(put);} catch (IOException e) {e.printStackTrace();}System.out.println(“end insert data ……”);} dropTable(String tableName) {try {HBaseAdmin admin = new HBaseAdmin(configuration);admin.disableTable(tableName);admin.deleteTable(tableName);} catch (MasterNotRunningException e) {e.printStackTrace();} catch (ZooKeeperConnectionException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}} 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();}} 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 } QueryAll(String tableName) {HTablePool pool = new HTablePool(configuration, 1000);HTable table = (HTable) pool.getTable(tableName);try {ResultScanner rs = table.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();}} QueryByCondition1(String tableName) {HTablePool pool = new HTablePool(configuration, 1000);HTable table = (HTable) pool.getTable(tableName);try {Get scan = new Get(“abcdef”.getBytes());// 根据rowkey查询 Result r = table.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();}} QueryByCondition2(String tableName) {try {HTablePool pool = new HTablePool(configuration, 1000);HTable table = (HTable) pool.getTable(tableName);Filter filter = new SingleColumnValueFilter(Bytes.toBytes(“column1”), null, CompareOp.EQUAL, Bytes.toBytes(“aaa”)); // 当列column1的值为aaa时进行查询 Scan s = new Scan();s.setFilter(filter);ResultScanner rs = table.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();}} QueryByCondition3(String tableName) {try {HTablePool pool = new HTablePool(configuration, 1000);HTable table = (HTable) pool.getTable(tableName);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 = table.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();}}}

Hbase数据获取示例：从起点，到尽头，也许快乐，或有时孤独，