1. 程式人生 > >Spark SQL 筆記(5)—— Hive 到 Spark SQL(1)

Spark SQL 筆記(5)—— Hive 到 Spark SQL(1)

1 SQLContext

1.1 Spark1.x 中Spark SQL 的入口點:SQLContext

參考連結 https://spark.apache.org/docs/1.6.1/sql-programming-guide.html#starting-point-sqlcontext

1.2 測試案例

1.2.1 新建maven 工程

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<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/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion> <groupId>com.tzb.demo2</groupId> <artifactId>SQLContext</artifactId> <version>1.0</version> <inceptionYear>2008</inceptionYear>
<properties> <scala.version>2.11.8</scala.version> <spark.version>2.1.0</spark.version> </properties> <repositories> <repository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</
name
>
<url>http://scala-tools.org/repo-releases</url> </repository> </repositories> <pluginRepositories> <pluginRepository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </pluginRepository> </pluginRepositories> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${scala.version}</scalaVersion> <args> <arg>-target:jvm-1.5</arg> </args> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-eclipse-plugin</artifactId> <configuration> <downloadSources>true</downloadSources> <buildcommands> <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand> </buildcommands> <additionalProjectnatures> <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature> </additionalProjectnatures> <classpathContainers> <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer> <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer> </classpathContainers> </configuration> </plugin> </plugins> </build> <reporting> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <configuration> <scalaVersion>${scala.version}</scalaVersion> </configuration> </plugin> </plugins> </reporting> </project>

1.2.2 原始碼

資料
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package com.tzb

import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}

object SQLContextApp {
  def main(args: Array[String]): Unit = {

    def main(args: Array[String]): Unit = {

      val path = args(0)

      val conf = new SparkConf()
      conf.setAppName("SQLContextApp").setMaster("local[2]")
      val sc = new SparkContext(conf)

      val sqlContext = new SQLContext(sc)

      val people =  sqlContext.read.format("json").load(path)
      people.printSchema()
      people.show()

      sc.stop()

    }
  }
}


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1.2.3 執行結果

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1.3 打包執行在叢集

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啟動叢集

[[email protected] ~]$ /home/hadoop/apps/spark-2.1.3-bin-2.6.0-cdh5.7.0/sbin/start-all.sh

[[email protected] spark-2.1.3-bin-2.6.0-cdh5.7.0]$ ./bin/spark-submit --class com.tzb.demo2.SQLContextApp --master local[2] /home/hadoop/SQLContext-1.0.jar /home/hadoop/people.json

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