hive安装 jdbc链接hive

1. 下载hive安装包

2. 进入 conf 中  ：  cp hive-default.xml.template hive-site.xml，  vi hive-site.xml

1） 找到如下对应的配置修改对应的值  （例如：  /javax.jdo.option.ConnectionURL）

<property>
　　<name>javax.jdo.option.ConnectionUserName</name>
　　<value>root</value>
</property>
<property>
　　<name>javax.jdo.option.ConnectionPassword</name>
　　<value>Gw_sp1226</value>
</property>
<property>
　　<name>javax.jdo.option.ConnectionURL</name>
　　<value>jdbc:mysql://gw-sp.novalocal:3306/hive</value>
</property>
<property>
　　<name>javax.jdo.option.ConnectionDriverName</name>
　　<value>com.mysql.jdbc.Driver</value>
</property>

3.  cp hive-env.sh.template hive-env.sh,    vi  hive-env.sh

export HADOOP_HOME=/home/hadoop/hadoop   ##Hadoop安装路径

export HIVE_CONF_DIR=/home/hadoop/hive-2.1.1/conf    ##Hive配置文件路径
export HIVE_AUX_JARS_PATH=/usr/hive/apache-hive-2.2.0-bin/lib   ##Hive lib 目录

4. 拷贝mysql-connector-java-5.1.7-bin.jar到hive的lib包中，（格式化json需要多加2个jar包json-serde-1.3.8-jar-with-dependencies.jar 和json-udf-1.3.8-jar-with-dependencies.jar， 具体参考如下flume存储数据到hive）

链接：https://pan.baidu.com/s/1suPzGJmtJlsROC6SVpcztQ 密码：zlgg

目标：  通过接受 1084端口的http请求信息， 存储到 hive数据库中，
osgiweb2.db为hive中创建的数据库名称
periodic_report5 为创建的数据表，

flume配置如下：
a1.sources=r1
a1.channels=c1
a1.sinks=k1  

a1.sources.r1.type = http
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port =
a1.sources.r1.handler=jkong.Test.HTTPSourceDPIHandler  

#a1.sources.r1.interceptors=i1 i2
#a1.sources.r1.interceptors.i1.type=regex_filter
#a1.sources.r1.interceptors.i1.regex=\\{.*\\}
#a1.sources.r1.interceptors.i2.type=timestamp
a1.channels.c1.type=memory
a1.channels.c1.capacity=
a1.channels.c1.transactionCapacity=
a1.channels.c1.keep-alive=  

a1.sinks.k1.type=hdfs
a1.sinks.k1.channel=c1
a1.sinks.k1.hdfs.path=hdfs://gw-sp.novalocal:1086/user/hive/warehouse/osgiweb2.db/periodic_report5
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.writeFormat=Text
a1.sinks.k1.hdfs.rollInterval=
a1.sinks.k1.hdfs.rollSize=
a1.sinks.k1.hdfs.rollCount=
a1.sinks.k1.hdfs.idleTimeout=

a1.sources.r1.channels=c1
a1.sinks.k1.channel=c1
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 .  数据表创建：

create table periodic_report5(id BIGINT, deviceId STRING,report_time STRING,information STRING) row format serde "org.openx.data.jsonserde.JsonSerDe" WITH SERDEPROPERTIES("id"="$.id","deviceId"="$.deviceId","report_time"="$.report_time","information"="$.information");
　　2.1  将数据表中的字段也同样拆分成数据字段的创表语句（还没有试验， 暂时不用）

复制代码
create table periodic_report4(id BIGINT, deviceId STRING,report_time STRING,information STRUCT<actualTime:BIGINT,dpiVersionInfo:STRING,subDeviceInfo:STRING,wanTrafficData:STRING,ponInfo:STRING,eventType:STRING,potsInfo:STRING,deviceInfo:STRING,deviceStatus:STRING>) row format serde "org.openx.data.jsonserde.JsonSerDe" WITH SERDEPROPERTIES("input.invalid.ignore"="true","id"="$.id","deviceId"="$.deviceId","report_time"="$.report_time","requestParams.actualTime"="$.requestParams.actualTime","requestParams.dpiVersionInfo"="$.requestParams.dpiVersionInfo","requestParams.subDeviceInfo"="$.requestParams.subDeviceInfo","requestParams.wanTrafficData"="$.requestParams.wanTrafficData","requestParams.ponInfo"="$.requestParams.ponInfo","requestParams.eventType"="$.requestParams.eventType","requestParams.potsInfo"="$.requestParams.potsInfo","requestParams.deviceInfo"="$.requestParams.deviceInfo","requestParams.deviceStatus"="$.requestParams.deviceStatus");
复制代码
. 启动flume语句：flume 根目录

bin/flume-ng agent --conf ./conf/ -f ./conf/flume.conf --name a1 -Dflume.root.logger=DEBUG,console
. 启动hive语句: hive bin目录

hive    或者：
./hive -hiveconf hive.root.logger=DEBUG,console  #带log信息启动

5.  进入  bin 目录

./schematool  -dbType mysql -initSchema  #初始化命令
如果初始化失败，可能原因是 mysql 权限问题，
　　（1）通过 mysql -uroot -p  命令进入mysql中， 
　　（2）use mysql
　　（3）select user,host,authentication_string from user;
　　（4）查看 root 用户 权限是否对应的是 %，如果不是，输入如下命令进行修改，再进行查看
　　（5）update user set host='%' where user='root'；
./schematool -dbType mysql -info        #查看

6.  在mysql中查看 hive的元数据库是否有表生成

7. bin 下  hive 启动hive，  输入  show tables;  (可以通过：   ./hive -hiveconf hive.root.logger=DEBUG,console    打印详细log启动  hive)

8. jdbc链接hive

package com.hive.testHiveJdbc;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement; 

public class HiveJDBCConnection {
    private static String driverName = "org.apache.hive.jdbc.HiveDriver";
//    private static String url = "jdbc:hive2://223.105.1.203:1083/default";
    private static String url = "jdbc:hive2://192.168.88.142:10000/osgiweb";
    private static String userName = "hive";
    private static String passWord = "hive";  

    public static void main(String[] args) {
        try {
            Class.forName(driverName);
            Connection con = DriverManager.getConnection(url, userName,
                    passWord);
            Statement stmt = con.createStatement();
            String tableName = "periodic_report2";
            String sql = null;
            /* String sql = "drop table if exists " + tableName;
            stmt.execute(sql);
           // 创建表
            sql = "create table"
                    + tableName
                    + " (key string,value string) row format delimited fields terminated by ','  stored as textfile ";
            stmt.execute(sql);
            //加载数据
            String Path="/home/hive_1.txt";
            sql ="load data local inpath '"+Path+"' into table "+tableName;
            stmt.execute(sql);  */
            // 查询数据
            sql ="select * from "+tableName;
            ResultSet res = stmt.executeQuery(sql);
            while(res.next()){
                System.out.println(res.getString(1)+"\t"+res.getString(1));
            }  

        } catch (ClassNotFoundException e) {
            System.out.println("没有找到驱动类");
            e.printStackTrace();
        } catch (SQLException e) {
            System.out.println("连接Hive的信息有问题");
            e.printStackTrace();
        }  

    }
}

9. maven pom.xml 配置

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>com.hive</groupId>
  <artifactId>testHiveJdbc</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>

  <name>testHiveJdbc</name>
  <url>http://maven.apache.org</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>

  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>3.8.1</version>
      <scope>test</scope>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc -->
    <dependency>
        <groupId>org.apache.hive</groupId>
        <artifactId>hive-jdbc</artifactId>
        <version>2.3.3</version>
        <exclusions>
            <exclusion>
                <groupId>org.eclipse.jetty.orbit</groupId>
                <artifactId>javax.servlet</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.htrace</groupId>
                <artifactId>htrace-core</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.codehaus.jackson</groupId>
                <artifactId>jackson-jaxrs</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.codehaus.jackson</groupId>
                <artifactId>jackson-xc</artifactId>
            </exclusion>
            <exclusion>
                <groupId>xerces</groupId>
                <artifactId>xercesImpl</artifactId>
            </exclusion>
            <exclusion>
                <groupId>xml-apis</groupId>
                <artifactId>xml-apis</artifactId>
            </exclusion>
            <exclusion>
                <groupId>com.sun.jersey</groupId>
                <artifactId>jersey-client</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.codehaus.jackson</groupId>
                <artifactId>jackson-core-asl</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.codehaus.jackson</groupId>
                <artifactId>jackson-mapper-asl</artifactId>
            </exclusion>
            <exclusion>
                <groupId>com.google.guava</groupId>
                <artifactId>guava</artifactId>
            </exclusion>
            <exclusion>
                <groupId>jdk.tools</groupId>
                <artifactId>jdk.tools</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.apache.directory.server</groupId>
                <artifactId>apacheds-kerberos-codec</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.apache.directory.server</groupId>
                <artifactId>apacheds-i18n</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.apache.directory.api</groupId>
                <artifactId>api-asn1-api</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.apache.directory.api</groupId>
                <artifactId>api-util</artifactId>
            </exclusion>
            <exclusion>
                <groupId>javax.xml.stream</groupId>
                <artifactId>stax-api</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.fusesource.leveldbjni</groupId>
                <artifactId>leveldbjni-all</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-api -->
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-api</artifactId>
    <version>1.7.25</version>
</dependency>

</dependencies>
</project>

参考资料：  https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-JDBC