文章目录
- 1.基础的环境准备
- 2.完全分布式 Fully-distributed
-
- 2.1 配置文件hase-env.sh
- 2.2 hbase-site.xml
- 2.3 配置regionservers
- 2.4 配置备用的master
- 2.5 HDFS客户端配置
- 2.6 启动
- 2.7 通过页面查看节点信息
- 3. java中客户端操作Hbase
-
- 3.1 引入依赖
- 3.2 初始化创建连接
- 3.3 操作Hbase数据库
-
- 3.3.1 创建表
- 3.3.2 往创建的user表插入数据
- 3.3.3 使用get 查询单条数据
- 3.3.4 scan 查询数据
- 3.3.5 删除数据
- 3.4 关闭连接
1.基础的环境准备
基础的环境准备不在赘述,包括jdk安装,防火墙关闭,网络配置,环境变量的配置,各个节点之间进行免密等操作等。使用的版本2.0.5.
2.完全分布式 Fully-distributed
参考官方文档
分布式的部署,都是在单节点服务的基础配置好配置,直接分发到其他节点即可。
2.1 配置文件hase-env.sh
jdk路径的配置,以及不适用内部自带的zk.
export JAVA_HOME=/usr/java/default
export HBASE_MANAGES_ZK=false
2.2 hbase-site.xml
configuration>
property>
name>hbase.rootdirname>
value>hdfs://muycluster/hbasevalue>
property>
property>
name>hbase.cluster.distributedname>
value>truevalue>
property>
property>
name>hbase.zookeeper.quorumname>
value>node02,node03,node04value>
property>
configuration>
2.3 配置regionservers
配置集群regionserver的节点
node02
node03
node04
2.4 配置备用的master
conf/backup-masters
vi backup-masters
node03
2.5 HDFS客户端配置
官方提供三种方式进行配置
-
Add a pointer to your HADOOP_CONF_DIR to the HBASE_CLASSPATH environment variable in hbase-env.sh.
-
Add a copy of hdfs-site.xml (or hadoop-site.xml) or, better, symlinks, under ${HBASE_HOME}/conf, or
-
if only a small set of HDFS client configurations, add them to hbase-site.xml.
一般我们都选择第二种,直接将hadoop-site.xml配置拷贝到 ${HBASE_HOME}/conf即可
2.6 启动
[root@node01 /]# start-hbase.sh
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/bigdata/hbase-2.0.5/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/bigdata/hadoop-2.6.5/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
running master, logging to /opt/bigdata/hbase-2.0.5/logs/hbase-root-master-node01.out
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/bigdata/hbase-2.0.5/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/bigdata/hadoop-2.6.5/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
node02: running regionserver, logging to /opt/bigdata/hbase-2.0.5/bin/../logs/hbase-root-regionserver-node02.out
node04: running regionserver, logging to /opt/bigdata/hbase-2.0.5/bin/../logs/hbase-root-regionserver-node04.out
node03: running regionserver, logging to /opt/bigdata/hbase-2.0.5/bin/../logs/hbase-root-regionserver-node03.out
node04: running master, logging to /opt/bigdata/hbase-2.0.5/bin/../logs/hbase-root-master-node04.out
2.7 通过页面查看节点信息
访问端口16010
:http://node01:16010/master-status
3. java中客户端操作Hbase
3.1 引入依赖
dependency>
groupId>org.apache.hbasegroupId>
artifactId>hbase-clientartifactId>
version>2.0.5version>
dependency>
dependency>
groupId>org.apache.hbasegroupId>
artifactId>hbase-mapreduceartifactId>
version>2.0.5version>
dependency>
3.2 初始化创建连接
操作表Java API中主要提供了一个Admin对象进行表的 操作。
HBase schemas can be created or updated using the The Apache HBase Shell or by using Admin in the Java API.
Configuration conf = null;
Connection conn = null;
//表的管理对象
Admin admin = null;
Table table = null;
//创建表的对象
TableName tableName = TableName.valueOf("user");
@Before
public void init() throws IOException {
//创建配置文件对象
conf = HBaseConfiguration.create();
//加载zookeeper的配置
conf.set("hbase.zookeeper.quorum","node02,node03,node04");
//获取连接
conn = ConnectionFactory.createConnection(conf);
//获取对象
admin = conn.getAdmin();
//获取数据操作对象
table = conn.getTable(tableName);
}
3.3 操作Hbase数据库
3.3.1 创建表
/**
* 创建表 主要使用Admin对象进行表的创建
* @throws IOException
*/
@Test
public void createTable() throws IOException {
//定义表描述对象
TableDescriptorBuilder tableDescriptorBuilder = TableDescriptorBuilder.newBuilder(tableName);
//定义列族描述对象
ColumnFamilyDescriptorBuilder columnFamilyDescriptorBuilder = ColumnFamilyDescriptorBuilder.newBuilder("cf".getBytes());
//添加列族信息给表
tableDescriptorBuilder.setColumnFamily(columnFamilyDescriptorBuilder.build());
if(admin.tableExists(tableName)){
//禁用表
admin.disableTable(tableName);
admin.deleteTable(tableName);
}
//创建表
admin.createTable(tableDescriptorBuilder.build());
}
3.3.2 往创建的user表插入数据
@Test
public void insert() throws IOException {
Put put = new Put(Bytes.toBytes("row1"));
put.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("name"),Bytes.toBytes("elite"));
put.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("age"),Bytes.toBytes("22"));
put.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("address"),Bytes.toBytes("gz"));
table.put(put);
}
3.3.3 使用get 查询单条数据
@Test
public void get() throws IOException {
Get get = new Get(Bytes.toBytes("row1"));
//在服务端做数据过滤,挑选出符合需求的列
get.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("name"));
get.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("age"));
get.addColumn(Bytes.toBytes("cf"),Bytes.toBytes("address"));
Result result = table.get(get);
Cell cell1 = result.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("name"));
Cell cell2 = result.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("age"));
Cell cell3 = result.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("address"));
System.out.print(Bytes.toString(CellUtil.cloneValue(cell1))+" ");
System.out.print(Bytes.toString(CellUtil.cloneValue(cell2))+" ");
System.out.print(Bytes.toString(CellUtil.cloneValue(cell3)));
}
3.3.4 scan 查询数据
/**
* 获取表中所有的记录
*/
@Test
public void scan() throws IOException {
Scan scan = new Scan();
ResultScanner rss = table.getScanner(scan);
for (Result rs: rss) {
Cell cell1 = rs.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("name"));
Cell cell2 = rs.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("age"));
Cell cell3 = rs.getColumnLatestCell(Bytes.toBytes("cf"),Bytes.toBytes("address"));
System.out.print(Bytes.toString(CellUtil.cloneValue(cell1))+" ");
System.out.print(Bytes.toString(CellUtil.cloneValue(cell2))+" ");
System.out.println(Bytes.toString(CellUtil.cloneValue(cell3)));
}
}
3.3.5 删除数据
/**
* 删除数据
* @throws IOException
*/
@Test
public void delete() throws IOException {
Delete delete = new Delete("row2".getBytes());
table.delete(delete);
}
3.4 关闭连接
@After
public void close(){
try {
table.close();
} catch (IOException e) {
e.printStackTrace();
}
try {
admin.close();
} catch (IOException e) {
e.printStackTrace();
}
try {
conn.close();
} catch (IOException e) {
e.printStackTrace();
}
}
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