Spark （十一） spark使用hive的元数据信息

 

正文

一，简介

　　跟hive没太的关系，就是使用了hive的标准（HQL， 元数据库、UDF、序列化、反序列化机制）。Hive On Spark 使用RDD（DataFrame），然后运行在spark 集群上。

二，shell方式配置和使用hive元数据信息

　　2.1 文件配置

　　配置和hive的配置一致，所以只需要我们把hive的配置文件hive-site.xml拷贝到一份到spark的conf目录下就可以。

　　

　　命令：

cp hive-site.xml /usr/local/hadoop/spark/spark-2.3.3/conf/

　　2.2 驱动包加载

　　因为要链接mysql，从mysql中读取元数据，所以需要mysql的驱动包进行加载。

　　2.3 命令行启动

./spark-sql --master spark://hd1:7077 --driver-class-path /usr/local/hadoop/hive/apache-hive-1.2.1-bin/lib/mysql-connector-java-5.1.39.jar

　　参数解释：

--driver-class-path    mysql驱动包的路径
--master  使用spark的链接

三，IDEA编程方式使用hive元数据信息

　　3.1 添加依赖和配置文件

　　依赖添加：注意除了hive依赖，mysql的驱动依赖也要添加

　　全部依赖：

<?xml version="1.0" encoding="UTF-8"?>
<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>cn.edu360.sparkLearn</groupId>
    <artifactId>sparkTest</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <scala.version>2.11.8</scala.version>
        <spark.version>2.3.3</spark.version>
        <hadoop.version>2.8.5</hadoop.version>
        <encoding>UTF-8</encoding>
    </properties>

    <dependencies>
        <!-- 导入scala的依赖 -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <!-- 导入spark的依赖 -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.38</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <!-- 指定hadoop-client API的版本 -->
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

    </dependencies>

    <build>
        <pluginManagement>
            <plugins>
                <!-- 编译scala的插件 -->
                <plugin>
                    <groupId>net.alchim31.maven</groupId>
                    <artifactId>scala-maven-plugin</artifactId>
                    <version>3.2.2</version>
                </plugin>
                <!-- 编译java的插件 -->
                <plugin>
                    <groupId>org.apache.maven.plugins</groupId>
                    <artifactId>maven-compiler-plugin</artifactId>
                    <version>3.5.1</version>
                </plugin>
            </plugins>
        </pluginManagement>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <executions>
                    <execution>
                        <id>scala-compile-first</id>
                        <phase>process-resources</phase>
                        <goals>
                            <goal>add-source</goal>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                    <execution>
                        <id>scala-test-compile</id>
                        <phase>process-test-resources</phase>
                        <goals>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <executions>
                    <execution>
                        <phase>compile</phase>
                        <goals>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>


            <!-- 打jar插件 -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>2.4.3</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <filters>
                                <filter>
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

　　

<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.11</artifactId>
        <version>${spark.version}</version>
</dependency>

　　配置文件添加：

　　

　　将hive-site.xml的配置文件添加到项目中。

　　3.2 程序示例

package cn.edu360.spark08

import org.apache.spark.sql.{DataFrame, SparkSession}

object HiveTest {
    def main(args: Array[String]): Unit = {
        val spark: SparkSession = SparkSession.builder()
            .appName("HiveTest")
            .master("local[*]")
            .enableHiveSupport()
            .getOrCreate()

        val result: DataFrame = spark.sql("show databases")
        result.show()
        spark.stop()
    }

}