java读spark hive_Spark记录-本地Spark读取Hive数据简单例子

注意:将mysql的驱动包拷贝到spark/lib下,将hive-site.xml拷贝到项目resources下,远程调试不要使用主机名

import org.apache.spark._

import org.apache.spark.SparkConf

import org.apache.spark.SparkContext

import org.apache.spark.sql.hive.HiveContext

import java.io.FileNotFoundException

import java.io.IOException

object HiveSelect {

def main(args: Array[String]) {

System.setProperty("hadoop.home.dir", "D:\\hadoop") //加载hadoop组件

val conf = new SparkConf().setAppName("HiveApp").setMaster("spark://192.168.66.66:7077")

.set("spark.executor.memory", "1g")

.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")

.setJars(Seq("D:\\workspace\\scala\\out\\scala.jar"))//加载远程spark

//.set("hive.metastore.uris", "thrift://192.168.66.66:9083")//远程hive的meterstore地址

// .set("spark.driver.extraClassPath","D:\\json\\mysql-connector-java-5.1.39.jar")

val sparkcontext = new SparkContext(conf);

try {

val hiveContext = new HiveContext(sparkcontext);

hiveContext.sql("use siat"); //使用数据库

hiveContext.sql("DROP TABLE IF EXISTS src") //删除表

hiveContext.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) " +

"ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' ");//创建表

hiveContext.sql("LOAD DATA LOCAL INPATH 'D:\\workspace\\scala\\src.txt' INTO TABLE src "); //导入数据

hiveContext.sql(" SELECT * FROM src").collect().foreach(println);//查询数据

}

catch {

case e: FileNotFoundException => println("Missing file exception")

case ex: IOException => println("IO Exception")

case ee: ArithmeticException => println(ee)

case eee: Throwable => println("found a unknown exception" + eee)

case ef: NumberFormatException => println(ef)

case ec: Exception => println(ec)

case e: IllegalArgumentException => println("illegal arg. exception");

case e: IllegalStateException => println("illegal state exception");

}

finally {

sparkcontext.stop()

}

}

}

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