Postgres by BigSQL and Hadoop_fdw

时间:2023-03-09 09:27:41
Postgres by BigSQL and Hadoop_fdw

测试Postgresql和远程Hive的Join操作。

测试环境

Centos6.8

HDP2.4集群,其中Hive Server2位于主机名为hdp的主机上

Postgres by BigSQL(pg96)

Installation Steps

由于Postgres by BigSQL上有编译好的hadoop_fdw,只需用其pgc命令直接安装,否则要去编译hadoop_fdw源代码,这个编译过程中缺少各种依赖就放弃了,编译参考bulid

下载包:

$ wget http://oscg-downloads.s3.amazonaws.com/packages/postgresql-9.5.7-1-x64-bigsql.rpm

以sudo权限安装rpm包:

$ sudo yum localinstall postgresql-9.6.2-2-x64-bigsql.rpm

Postgresql被安装到/opt/postgresql/pg96,Postgresql使用的所有库都位于/opt/postgresql/pg96/lib目录中,以减少冲突和其他不兼容的可能性。你可以添加--prefix以将包安装到你所指定的位置。

你也可以将前面2步合在一起:

$ sudo yum install http://oscg-downloads.s3.amazonaws.com/packages/postgresql-9.6.2-2-x64-bigsql.rpm

Configure and initializing PostgreSQL Server

以sudo权限执行下面命令:

$ sudo /opt/postgresql/pgc start pg96

Using the Database

加载postgres环境变量:

$ . /opt/postgresql/pg96/pg96.env

查看pg96的状态:

$ sudo /opt/postgresql/pgc status

进入数据库:

$ /opt/postgresql/pg96/bin/psql -U postgres -d postgres

安装HadoopFDW前需要准备环境

  • Hadoop集群,并且其他机器可以访问hive的默认端口10000(这里使用的是HDP)
  • 将Hadoop集群中如下2个jar文件放到postgresql server机器上,我这里放到/opt/hadoop/hive-client-lib(若没有此目录,自行创建)
/usr/hdp/2.4.0.0-169/
|
`--- hadoop/
|
`--- hadoop-common-2.7.1.2.4.0.0-169.jar
|
`--- hive/
|
`--- lib
|
`--- hive-jdbc-1.2.1000.2.4.0.0-169-standalone.jar

postgresql server查看jar文件:

$ ls /opt/hadoop/hive-client-lib/
hadoop-common-2.7.1.2.4.0.0-169.jar hive-jdbc-1.2.1000.2.4.0.0-169-standalone.jar
  • 测试Jdbc连接Hive

    在postgreSQL host上,用下面的内容创建一个小的Jdbc程序HiveJdbcClient.java
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement; public class HiveJdbcClient { private static final String url = "jdbc:hive2://hdp:10000";
private static final String user = "hive";
private static final String password = "123456";
private static final String query = "SHOW DATABASES"; private static final String driverName = "org.apache.hive.jdbc.HiveDriver"; public static void main(String[] args) throws SQLException { try {
Class.forName(driverName);
} catch (ClassNotFoundException e) {
e.printStackTrace();
System.exit(1);
} Connection con = DriverManager.getConnection(url, user, password);
Statement stmt = con.createStatement(); System.out.println("Running: " + query);
ResultSet res = stmt.executeQuery(query); while (res.next()) {
System.out.println(res.getString(1));
}
}
}

注意:hdp主机名和对应ip需要映射到/etc/hosts中。

编译:

javac HiveJdbcClient.java

运行下面的命令执行程序:

java -cp .:$(echo /opt/hadoop/hive-client-lib/*.jar | tr ' ' :) HiveJdbcClient

最后2行输出:

Running: SHOW DATABASES
default
  • 假设jdk安装在/opt/jdk1.8.0_111,执行如下命令:
ln -s /opt/jdk1.8.0_111/jre/lib/amd64/server/libjvm.so /opt/postgresql/pg96/lib/libjvm.so
  • /etc/profile中添加如下2句,并且source
export LD_LIBRARY_PATH=/opt/jdk1.8.0_111/jre/lib/amd64/server:$LD_LIBRARY_PATH
export HADOOP_FDW_CLASSPATH=/opt/postgresql/pg96/lib/postgresql/Hadoop_FDW.jar:$(echo /opt/hadoop/hive-client-lib/*.jar | tr ' ' :)

其中LD_LIBRARY_PATH设置libjvm.so的父目录的环境变量,Hadoop_FDW.jar为后面安装完hadoop_fdw后生成在此目录中。

以上所有配置完成后,重启pg96服务,使用下面命令:

cd /opt/postgresql

./pgc restart pg96

Install and Enable Hadoop-FDW

./pgc install hadoop_fdw2-pg96

在hive所在机器上创建测试所需的表

hive> show databases;
OK
default hive> create table test_fdw(id int, height float); hive> insert into test_fdw values(1, 1.68); hive> select * from test_fdw;
OK
1 1.68

进入pg96使用

/opt/postgresql/pg96/bin/psql -U postgres

CREATE EXTENSION hadoop_fdw;

CREATE SERVER hadoop_server FOREIGN DATA WRAPPER hadoop_fdw
OPTIONS (HOST 'hdp', PORT '10000'); CREATE USER MAPPING FOR PUBLIC SERVER hadoop_server; create foreign table foreign_hive(
id int,
height float)
server hadoop_server OPTIONS (TABLE 'test_fdw'); select * from foreign_hive;
id | height
----+------------------
1 | 1.67999994754791
(1 row)

测试Hive与本地Postgresql的join

在postgresql上建表:

create table local_postgresql (id int, name text);

insert into local_postgresql values(1, 'li'),(2, 'wang');

测试join查询:

select * from foreign_hive join local_postgresql on foreign_hive.id= local_postgresql.id;
id | height | id | name
----+------------------+----+------
1 | 1.67999994754791 | 1 | li
(1 row)

参考网址: