Hive扩展功能(六)--HPL/SQL(可以使用存储过程)

软件环境:

linux系统: CentOS6.7
Hadoop版本: 2.6.5
zookeeper版本: 3.4.8

主机配置:

一共m1, m2, m3这五部机, 每部主机的用户名都为centos

192.168.179.201: m1 
192.168.179.202: m2 
192.168.179.203: m3 

m1: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Master, Worker
m2: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Worker
m3: Zookeeper, DataNode, NodeManager, Worker

资料:

搭建教程:
    http://lxw1234.com/archives/2015/09/487.htm
下载HPL/SQL地址:
    http://www.hplsql.org/download
HPL/SQL官网:
    http://www.hplsql.org/doc

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注意事项:

必定不能在HPL/SQL上使用Hive语法的语句,要使用MySQL或Oracle等其余HPL/SQL支持的数据库(具体可去官网查看),否则会报找不到dual表或者dual表中无该字段的错误,切记

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版本选择:

在HPL/SQL0.3.17版本(必须是0.3.17或者0.3.17以后的版本)解决了强制读From dual表的问题, 而本次安装的是Hive2.1.1版本自带的是HPLSQL0.3.31版本, 已解决强制读From dual表的问题.
若要解决强制读From dual表的问题,应下载一个0.3.17或0.3.17以后版本的HPL/SQL, 而后将解压后获得的hplsql-0.3.17.jar包放入$HIVE_HOME/lib包下, 并重命名为hive-hplsql-*.jar格式的包,如:hive-hplsql-0.3.17.jar

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1.编辑hive-site.xml文件

HPL/SQL与Hive是经过thrift方式链接, 编辑hive-site.xml, 添加如下配置项

<property>
    <name>hive.server2.thrift.bind.host</name>
    <value>m1</value>
</property>
<property>
    <name>hive.server2.thrift.port</name>
    <value>10000</value>
</property>

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2.编辑hplsql-site.xml文件

配置HPL/SQL与Hive的链接, 建立hplsql-site.xml文件(若已有则无需建立), 并将如下配置项拷贝到文件中

<configuration>
<property>
  <name>hplsql.conn.default</name>
  <value>hive2conn</value>
  <description>The default connection profile</description>
</property>
<property>
  <name>hplsql.conn.hiveconn</name>
  <value>org.apache.hadoop.hive.jdbc.HiveDriver;jdbc:hive://</value>
  <description>Hive embedded JDBC (not requiring HiveServer)</description>
</property>
<!-- 配置项hive.execution.engine默认设置为mr,若使用spark做为引擎时,则设置为spark -->
<property>
  <name>hplsql.conn.init.hiveconn</name>
  <value>
     set mapred.job.queue.name=default;
     set hive.execution.engine=mr; 
     use default;
  </value>
  <description>Statements for execute after connection to the database</description>
</property>
<property>
  <name>hplsql.conn.convert.hiveconn</name>
  <value>true</value>
  <description>Convert SQL statements before execution</description>
</property>
<property>
  <name>hplsql.conn.hive2conn</name>
  <value>org.apache.hive.jdbc.HiveDriver;jdbc:hive2://m1:10000</value>
  <description>HiveServer2 JDBC connection</description>
</property>
<!-- 配置项hive.execution.engine默认设置为mr,若使用spark做为引擎时,则设置为spark -->
<property>
  <name>hplsql.conn.init.hive2conn</name>
  <value>
     set mapred.job.queue.name=default;
     set hive.execution.engine=mr; 
     use default;
  </value>
  <description>Statements for execute after connection to the database</description>
</property>
<property>
  <name>hplsql.conn.convert.hive2conn</name>
  <value>true</value>
  <description>Convert SQL statements before execution</description>
</property>
<property>
  <name>hplsql.conn.db2conn</name>
  <value>com.ibm.db2.jcc.DB2Driver;jdbc:db2://localhost:50001/dbname;user;password</value>
  <description>IBM DB2 connection</description>
</property>
<property>
  <name>hplsql.conn.tdconn</name>
  <value>com.teradata.jdbc.TeraDriver;jdbc:teradata://localhost/database=dbname,logmech=ldap;user;password</value>
  <description>Teradata connection</description>
</property>
<property>
  <name>hplsql.conn.mysqlconn</name>
  <value>com.mysql.jdbc.Driver;jdbc:mysql://localhost/test;user;password</value>
  <description>MySQL connection</description>
</property>
<property>
  <name>hplsql.dual.table</name>
  <value>default.dual</value>
  <description>Single row, single column table for internal operations</description>
</property>
<property>
  <name>hplsql.insert.values</name>
  <value>native</value>
  <description>How to execute INSERT VALUES statement: native (default) and select</description>
</property>
<property>
  <name>hplsql.onerror</name>
  <value>exception</value>
  <description>Error handling behavior: exception (default), seterror and stop</description>
</property>
<property>
  <name>hplsql.temp.tables</name>
  <value>native</value>
  <description>Temporary tables: native (default) and managed</description>
</property>
<property>
  <name>hplsql.temp.tables.schema</name>
  <value></value>
  <description>Schema for managed temporary tables</description>
</property>
<property>
  <name>hplsql.temp.tables.location</name>
  <value>/home/centos/soft/hive/tmp/plhql</value>
  <description>LOcation for managed temporary tables in HDFS</description>
</property>
<!-- 下面两项须要按实际状况修改 -->
<property>
<name>hive.server2.thrift.bind.host</name>
<value>m1</value>
</property>
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
</configuration>

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3.配置dual表 (此步骤可跳过)

启动Hive服务,依照在hplsql-site.xml文件中的配置去建立(默认是在default库中建立了dual表)

use default;
create table dual(DUMMY VARCHAR(1));

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4.在使用hplsql存储过程前, 需先启动HiveServer2和Metastore服务

sh $HIVE_HOME/bin/hive  --service  metastore
sh $HIVE_HOME/bin/hive  --service  hiveserver2