Phoenix的安装部署

1.  Phoenix的安装部署

3.1、准备工作

提前安装好ZK集群、hadoop集群、Hbase集群

 

3.2、安装包

从对应的地址下载：http://mirrors.cnnic.cn/apache/phoenix/

这里我们使用的是：

phoenix-4.8.2-HBase-1.2-bin.tar.gz

3.3、上传、解压

将对应的安装包上传到对应的Hbase集群其中一个服务器的一个目录下

解压：tar -zxvf phoenix-4.8.2-HBase-1.2-bin.tar.gz  -C /var/local

重命名：mv phoenix-4.8.2-HBase-1.2-bin phoenix

3.4、配置

(1) 将phoenix目录下的phoenix-4.8.2-HBase-1.2-server.jar、

phoenix-core-4.8.2-HBase-1.2.jar拷贝到各个 hbase的lib目录下。

1. 将hbase的配置文件hbase-site.xml、 hadoop/etc/hadoop下的core-site.xml 、hdfs-site.xml放到phoenix/bin/下，替换phoenix原来的配置文件。
2. 重启hbase集群，使Phoenix的jar包生效。

3.5、验证是否成功

1. 在phoenix/bin下输入命令：

端口可以省略

[root@itcast01 bin]# ./sqlline.py itcast01:2181

出现如下界面说明启动成功

1. 输入!tables 查看都有哪些表。红框部分是用户建的表，其他为Phoenix系统表，系统表中维护了用户表的元数据信息。

+------------+--------------+----------------+---------------+----------+------------+-----------------+

| TABLE_CAT  | TABLE_SCHEM  |   TABLE_NAME   |  TABLE_TYPE   | REMARKS  | TYPE_NAME  | SELF_REFERENCIN |

+------------+--------------+----------------+---------------+----------+------------+-----------------+

|            | SYSTEM       | CATALOG        | SYSTEM TABLE  |          |            |                 |

|            | SYSTEM       | FUNCTION       | SYSTEM TABLE  |          |            |                 |

|            | SYSTEM       | SEQUENCE       | SYSTEM TABLE  |          |            |                 |

|            | SYSTEM       | STATS          | SYSTEM TABLE  |          |            |                 |               |

+------------+--------------+----------------+---------------+----------+------------+-----------------+

1. 退出Phoenix。输入!quit

 

1.  Phoenix使用

 

Phoenix可以有4种方式调用：

 

1. 批处理方式
2. 命令行方式
3. GUI方式
4. JDBC调用方式

4.1 批处理方式

4.1.1 创建user_phoenix.sql文件

内容如下

CREATE TABLE IF NOT EXISTS user_phoenix ( state CHAR(2) NOT NULL,  city VARCHAR NOT NULL,  population BIGINT  CONSTRAINT my_pk PRIMARY KEY (state, city));

 

4.1.2 创建user_phoenix.csv数据文件

 

 

 

NY,New York,8143197 CA,Los Angeles,3844829 IL,Chicago,2842518 TX,Houston,2016582 PA,Philadelphia,1463281 AZ,Phoenix,1461575 TX,San Antonio,1256509 CA,San Diego,1255540 TX,Dallas,1213825 CA,San Jose,912332

4.1.3 创建user_phoenix_query.sql文件

内容为：

SELECT state as "State",count(city) as "City Count",sum(population) as "Population Sum" FROM user_phoenix GROUP BY state ORDER BY sum(population) DESC;

 

 

 

4.1.4 执行

 

/var/local/phoenix/bin/psql.py itcast01:2181 user_phoenix.sql user_phoenix.csv  user_phoenix_query.sql

这条命令同时做了三件事：创建表、插入数据、查询结果

 

 

用Hbase shell 看下会发现多出来一个 USER_PHOENIX 表，用scan 命令查看一下这个表的数据

hbase(main):054:0> scan 'USER_PHOENIX' ROW                         COLUMN+CELL                                                                   AZPhoenix                  column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x16                             MG                                                                            AZPhoenix                  column=0:_0, timestamp=1484736243467, value=x                                 CALos Angeles              column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00:\xA                             A\xDD                                                                         CALos Angeles              column=0:_0, timestamp=1484736243467, value=x                                 CASan Diego                column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x13                             (t                                                                            CASan Diego                column=0:_0, timestamp=1484736243467, value=x                                 CASan Jose                 column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x0D                             \xEB\xCC                                                                      CASan Jose                 column=0:_0, timestamp=1484736243467, value=x                                 ILChicago                  column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00+_\x                             96                                                                            ILChicago                  column=0:_0, timestamp=1484736243467, value=x                                 PAPhiladelphia             column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x16                             S\xF1                                                                         PAPhiladelphia             column=0:_0, timestamp=1484736243467, value=x                                 TXDallas                   column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x12                             \x85\x81                                                                      TXDallas                   column=0:_0, timestamp=1484736243467, value=x                                 TXHouston                  column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x1E                             \xC5F                                                                         TXHouston                  column=0:_0, timestamp=1484736243467, value=x                                 TXSan Antonio              column=0:POPULATION, timestamp=1484736243467, value=\x80\x00\x00\x00\x00\x13                             ,=                                                                            TXSan Antonio              column=0:_0, timestamp=1484736243467, value=x

 

 

 

 

 

 

结论：

 

1. 之前定义的Primary key 为state,city, 于是Phoenix就把输入的state，city的值拼起来成为rowkey

1. 其他的字段还是按照列名去保存，默认的列族为0

1. 还有一个0:_0这个列是没有值的，这个是Phoenix处于性能方面考虑增加的一个列，不用管这个列

 

 

 

4.2 命令行方式

4.2.1 执行命令

./sqlline.py itcast01

 

4.2.2 可以进入命令行模式

0: jdbc:phoenix:itcast01>

 

然后执行相关的命令

 

4.2.3 退出命令行方式

执行 !quit

 

4.2.4 命令开头需要一个感叹号

使用help可以打印出所有命令

 

0: jdbc:phoenix:itcast01> help !all                Execute the specified SQL against all the current connections !autocommit         Set autocommit mode on or off !batch              Start or execute a batch of statements !brief              Set verbose mode off !call               Execute a callable statement !close              Close the current connection to the database !closeall           Close all current open connections !columns            List all the columns for the specified table !commit             Commit the current transaction (if autocommit is off) !connect            Open a new connection to the database. !dbinfo             Give metadata information about the database !describe           Describe a table !dropall            Drop all tables in the current database !exportedkeys       List all the exported keys for the specified table !go                 Select the current connection !help               Print a summary of command usage !history            Display the command history !importedkeys       List all the imported keys for the specified table !indexes            List all the indexes for the specified table !isolation          Set the transaction isolation for this connection !list               List the current connections !manual             Display the SQLLine manual !metadata           Obtain metadata information !nativesql          Show the native SQL for the specified statement !outputformat       Set the output format for displaying results                     (table,vertical,csv,tsv,xmlattrs,xmlelements) !primarykeys        List all the primary keys for the specified table !procedures         List all the procedures !properties         Connect to the database specified in the properties file(s) !quit               Exits the program !reconnect          Reconnect to the database !record             Record all output to the specified file !rehash             Fetch table and column names for command completion !rollback           Roll back the current transaction (if autocommit is off) !run                Run a script from the specified file !save               Save the current variabes and aliases !scan               Scan for installed JDBC drivers !script             Start saving a script to a file !set                Set a sqlline variable

 

4.2.5 建立employee的映射表---数据准备

数据准备然后我们来建立一个映射表，映射我之前建立过的一个hbase表 employee.有2个列族 company、family

create 'employee','company','family' put 'employee','row1','company:name','ted' put 'employee','row1','company:position','worker' put 'employee','row1','family:tel','13600912345' put 'employee','row2','company:name','michael' put 'employee','row2','company:position','manager' put 'employee','row2','family:tel','1894225698' scan 'employee'

 

在建立映射表之前要说明的是，Phoenix是大小写敏感的，并且所有命令都是大写，如果你建的表名没有用双引号括起来，那么无论你输入的是大写还是小写，建立出来的表名都是大写的，如果你需要建立出同时包含大写和小写的表名和字段名，请把表名或者字段名用双引号括起来。
你可以建立读写的表或者只读的表，他们的区别如下

• 读写表：如果你定义的列簇不存在，会被自动建立出来，并且赋以空值
• 只读表：你定义的列簇必须事先存在

4.2.6 建立映射表

0: jdbc:phoenix:itcast01>CREATE TABLE IF NOT EXISTS "employee" ("no" VARCHAR(10) NOT NULL PRIMARY KEY, "company"."name" VARCHAR(30),"company"."position" VARCHAR(20), "family"."tel" VARCHAR(20), "family"."age" INTEGER);

这个语句有几个注意点

• IF NOT EXISTS可以保证如果已经有建立过这个表，配置不会被覆盖
• 作为rowkey的字段用 PRIMARY KEY标定
• 列簇用 columnFamily.columnName 来表示
• family.age 是新增的字段，我之前建立测试数据的时候没有建立这个字段的原因是在hbase shell下无法直接写入数字型，等等我用UPSERT 命令插入数据的时候你就可以看到真正的数字型在hbase 下是如何显示的

建立好后，查询一下数据

 

4.2.7 查询映射表数据

0: jdbc:phoenix:itcast01> SELECT * FROM "employee"; +-------+----------+-----------+--------------+-------+ |  no   |   name   | position  |     tel      |  age  | +-------+----------+-----------+--------------+-------+ | row1  | ted      | worker    | 13600912345  | null  | | row2  | michael  | manager   | 1894225698   | null  | +-------+----------+-----------+--------------+-------+

 

4.2.8 插入数据、更改数据

插入或者更改数据在phoenix中使用upsert关键字，

如果表中不存在该数据则插入,否则更新

插入： 0: jdbc:phoenix:itcast01> upsert INTO "employee" VALUES ('row3','billy','worker','16974681345',33); 修改数据： 0: jdbc:phoenix:itcast01:2181> UPSERT INTO "employee" ("no","tel") VALUES ('row2','13588888888');   查询： 0: jdbc:phoenix:itcast01:2181>  select * from "employee"; +-------+----------+-----------+--------------+-------+ |  no   |   name   | position  |     tel      |  age  | +-------+----------+-----------+--------------+-------+ | row1  | ted      | worker    | 13600912345  | null  | | row2  | michael  | manager   | 13588888888  | null  | | row3  | billy    | worker    | 16974681345  | 33    | +-------+----------+-----------+--------------+-------+ 3 rows selected (0.06 seconds)

 

4.2.9 查询Hbase数据

hbase(main):056:0> scan 'employee' ROW                   COLUMN+CELL                                                                   row1            column=company:_0, timestamp=1484730892661, value=                            row1            column=company:name, timestamp=1484730892527, value=ted                       row1            column=company:position, timestamp=1484730892565, value=worker                row1            column=family:tel, timestamp=1484730892661, value=13600912345                 row2            column=company:_0, timestamp=1484730892762, value=                            row2            column=company:name, timestamp=1484730892702, value=michael                   row2            column=company:position, timestamp=1484730892730, value=manager               row2            column=family:tel, timestamp=1484730892762, value=13588888888    row3            column=company:_0, timestamp=1484809036587, value=x                           row3            column=company:name, timestamp=1484809036587, value=billy                     row3            column=company:position, timestamp=1484809036587, value=worker                row3            column=family:age, timestamp=1484809036587, value=\x80\x00\x00!               row3            column=family:tel, timestamp=1484809036587, value=16974681345

 

4.3 GUI方式

4.3.1 squirrel下载

　从网址http://www.squirrelsql.org/下载相应版本的squirrel的安装jar包，比如下载squirrel-sql-3.7-standard.jar window版本。

4.3.2 squirrel安装

Window下：通过cmd进入window控制台，

输入 java -jar squirrel-sql-3.7-standard.jar

显示安装界面。

 

4.3.3 squirrel配置连接Phoenix

1. 配置squirrel

 

解压的phoenix-4.7.0-HBase-1.1-bin.tar.gz包的主目录下将如下几个jar包拷贝到squirrel安装目录的lib下

 

　在安装目录下双击squirrel-sql.bat、点击左侧的Drivers，添加图标

配置说明：

　在出现的窗口中填写如下项

Name：就是个名字任意取就可以，这里使用phoenix

Example URL ：jdbc:phoenix:itcast01:2181(这里是你的phonenix的jdbc地址，注意端口也可以不写，多个用逗号隔开)

Class Name：org.apache.phoenix.jdbc.PhoenixDriver

 

4.3.4 连接Phoenix

点击Aiiasses，点击右边的添加图标

 

 

配置说明：

　这里还是名字随意写（这里使用phoenix），driver要选择刚才配置的可用的driver，我们刚才配置的是phoenix

url这里就是连接phonex的url选择了phoenix的driver以后自动出现也可以改，user name就是phoenix连接的主机的用户名，密码就是该机器的密码，点击自动登录

然后点击test，显示连接成功即可（在这里最好不要直接点OK,先点Test，连接成功了再OK）

 

点击OK按钮