Phoenix 3.1 + HBase 0.94.21 的安装和使用
Apache Phoenix 是 HBase 的 SQL 驱动。Phoenix 使得 HBase 支持通过 JDBC 的方式进行访问，并将你的 SQL 查询转成 HBase 的扫描和相应的动作。
兼容性：
- Phoenix 2.x - HBase 0.94.x
- Phoenix 3.x - HBase 0.94.x
- Phoenix 4.x - HBase 0.98.1+
1：hbase 0.94.21 的安装
2：下载phoenix 3.1
[linuxidc@linuxidc02 ~]# wget http://mirrors.hust.edu.cn/apache/phoenix/phoenix-3.1.0/bin/phoenix-3.1.0-bin.tar.gz
--2014-09-12 22:03:44-- http://mirrors.hust.edu.cn/apache/phoenix/phoenix-3.1.0/bin/phoenix-3.1.0-bin.tar.gz
正在解析主机 mirrors.hust.edu.cn... 202.114.18.160
正在连接 mirrors.hust.edu.cn|202.114.18.160|:80... 已连接。
已发出 HTTP 请求，正在等待回应... 200 OK
长度：55480477 (53M) [application/octet-stream]
正在保存至: “phoenix-3.1.0-bin.tar.gz”
2014-09-12 22:16:29 (70.8 KB/s) - 已保存 “phoenix-3.1.0-bin.tar.gz” [55480477/55480477])
3：解压
[linuxidc@linuxidc02 ~]$ tar zxf phoenix-3.1.0-bin.tar.gz
[linuxidc@linuxidc02 ~]$ cd phoenix-3.1.0-bin
[linuxidc@linuxidc02 phoenix-3.1.0-bin]$ ls
CHANGES common examples Hadoop1 hadoop2 LICENSE NOTICE README
4：配置
参考：http://phoenix.apache.org/download.html
我这里使用的是Phoenix 3.x
To install a pre-built phoenix, use these directions:
- Download and expand the latest phoenix-[version]-bin.tar. Use either hadoop1 and hadoop2 artifacts which match your HBase installation.
- 下载，根据安装的HBase选择hadoop1或hadoop2
- Add the phoenix-[version]-server.jar to the classpath of every HBase region server and remove any previous version. An easy way to do this is to copy it into the HBase lib directory (use phoenix-core-[version].jar for Phoenix 3.x)
- 把phoenix-core-3.1.0.jar复制到所有HBase region server的lib目录
- Restart all region servers.
- 重启所有的Hbase region servers.
- Add the phoenix-[version]-client.jar to the classpath of any Phoenix client.
- Phoenix client服务器的CLASSPATH加上phoenix-3.1.0-client-hadoop1.jar
[linuxidc@linuxidc02 phoenix-3.1.0-bin]$ cd common
[linuxidc@linuxidc02 common]$ ls
phoenix-3.1.0-client-minimal.jar phoenix-3.1.0-client-without-hbase.jar phoenix-core-3.1.0.jar
[linuxidc@linuxidc02 common]$ cp ./phoenix-core-3.1.0.jar /home/linuxidc/hbase-0.94.21/lib
[linuxidc@linuxidc02 common]$ scp ./phoenix-core-3.1.0.jar linuxidc@linuxidc01:/home/linuxidc/hbase-0.94.21/lib
phoenix-core-3.1.0.jar 100% 2178KB 2.1MB/s 00:00
[linuxidc@linuxidc02 common]$ cd ..
在配置文件/home/linuxidc/.bash_profile中
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:/home/linuxidc/phoenix-3.1.0-bin/hadoop1/phoenix-3.1.0-client-hadoop1.jar
然后重启HBase
[linuxidc@linuxidc01 hbase-0.94.21]$ bin/stop-hbase.sh
stopping hbase................
linuxidc01: stopping zookeeper.
linuxidc02: stopping zookeeper.
[linuxidc@linuxidc01 hbase-0.94.21]$ bin/start-hbase.sh
linuxidc01: starting zookeeper, logging to /home/linuxidc/hbase-0.94.21/bin/../logs/hbase-linuxidc-zookeeper-linuxidc01.out
linuxidc02: starting zookeeper, logging to /home/linuxidc/hbase-0.94.21/bin/../logs/hbase-linuxidc-zookeeper-linuxidc02.out
starting master, logging to /home/linuxidc/hbase-0.94.21/logs/hbase-linuxidc-master-linuxidc01.out
linuxidc01: starting regionserver, logging to /home/linuxidc/hbase-0.94.21/bin/../logs/hbase-linuxidc-regionserver-linuxidc01.out
linuxidc02: starting regionserver, logging to /home/linuxidc/hbase-0.94.21/bin/../logs/hbase-linuxidc-regionserver-linuxidc02.out
5：启动和简单操作
[linuxidc@linuxidc02 bin]$ sqlline.py localhost
Setting property: [isolation, TRANSACTION_READ_COMMITTED]
issuing: !connect jdbc:phoenix:localhost none none org.apache.phoenix.jdbc.PhoenixDriver
Connecting to jdbc:phoenix:localhost
Connected to: Phoenix (version 3.1)
Driver: org.apache.phoenix.jdbc.PhoenixDriver (version 3.1)
Autocommit status: true
Transaction isolation: TRANSACTION_READ_COMMITTED
Building list of tables and columns for tab-completion (set fastconnect to true to skip)...
59/59 (100%) Done
Done
sqlline version 1.1.2
0: jdbc:phoenix:localhost> select * from b_month
. . . . . . . . . . . . .> ;
Error: ERROR 1012 (42M03): Table undefined. tableName=B_MONTH (state=42M03,code=1012)
0: jdbc:phoenix:localhost> create table test (a integer primary key, b integer) ;
No rows affected (1.534 seconds)
0: jdbc:phoenix:localhost> UPSERT INTO TEST VALUES (1, 1);
1 row affected (0.018 seconds)
0: jdbc:phoenix:localhost> UPSERT INTO TEST VALUES (2, 12);
1 row affected (0.01 seconds)
0: jdbc:phoenix:localhost> select * from test;
+------------+------------+
| A | B |
+------------+------------+
| 1 | 1 |
| 2 | 12 |
+------------+------------+
2 rows selected (0.056 seconds)
0: jdbc:phoenix:localhost>
6：查看hbase中的表test
[linuxidc@linuxidc01 hbase-0.94.21]$ hbase shell
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 0.94.21, r83b4a1ee9b9a2fa4c7ae1739259e041cabe8edc2, Fri Jun 27 16:14:16 UTC 2014
hbase(main):001:0> list
TABLE
SYSTEM.CATALOG
SYSTEM.SEQUENCE
TEST
b_month
mytable
5 row(s) in 0.6250 seconds
hbase(main):003:0> scan 'TEST'
ROW COLUMN+CELL
\x80\x00\x00\x01 column=0:B, timestamp=1410534991931, value=\x80\x00\x00\x01
\x80\x00\x00\x01 column=0:_0, timestamp=1410534991931, value=
\x80\x00\x00\x02 column=0:B, timestamp=1410535001115, value=\x80\x00\x00\x0C
\x80\x00\x00\x02 column=0:_0, timestamp=1410535001115, value=
2 row(s) in 0.0770 seconds
hbase(main):004:0>
HBase 的详细介绍：请点这里
HBase 的下载地址：请点这里