Spark SQL实战：使用Spark SQL 连接hive ，将统计结果存储到 mysql中

1.需求：

使用Spark SQL 连接hive ，读取数据，将统计结果存储到 mysql中

2.将写好的代码打包上传的集群，然后提交spark运行，前提是hive，HDFS已经启动

3.代码：

(1)pom.xml

    org.apache.spark
    spark-core_2.11
    2.1.0




    org.apache.spark
    spark-sql_2.11
    2.1.0

(2)demo4.scala

package day1209

import org.apache.spark.sql.SparkSession
import java.util.Properties

/**
 * 使用Spark SQL 连接hive ，将统计结果存储到 mysql中
 * 
 * ./spark-submit --master spark://hadoop1:7077 --jars /usr/local/tmp_files/mysql-connector-java-8.0.11.jar --driver-class-path /usr/local/tmp_files/mysql-connector-java-8.0.11.jar --class day0628.Demo4 /usr/local/tmp_files/Demo1209.jar
 */
object Demo4 {
  def main(args: Array[String]): Unit = {

    val spark = SparkSession.builder().appName("Hive2Mysql").enableHiveSupport().getOrCreate()
   //.config("spark.sql.inMemoryColumnarStorage.batchSize", 10)

    //执行sql
    val result = spark.sql("select deptno,mgr from default.emp")

    //将结果保存到mysql中
    val props = new Properties()
    props.setProperty("user", "root")
    props.setProperty("password", "000000")

    result.write.mode("append").jdbc(
      "jdbc:mysql://hadoop2:3306/company?serverTimezone=UTC&characterEncoding=utf-8",
      "emp_stat", props)

    //停止Spark
    spark.stop()

  }
}

4.执行：

(1)启动spark

cd /opt/module/spark-2.1.1

./bin/spark-submit --master spark://hadoop2:7077 --jars /opt/TestFolder/mysql-connector-java-5.1.27.jar --driver-class-path /opt/TestFolder/mysql-connector-java-5.1.27.jar --class spark.sqlshizhan.Demo4 /opt/TestFolder/Scala-1.0-SNAPSHOT.jar

5.结果：