maven:3.3.9
jdk:java version "1.8.0_51"
spark:spark-1.6.1.tgz
scala:2.11.7
如果scala版本是2.11.x,執行如下腳本
./dev/change-scala-version.sh 2.11
spark默認情況下用scala的2.10.5編譯
編譯命令如下:
mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 -Phive -Phive-thriftserver -Dscala-2.11 -DskipTests clean package
紅色部分爲spark-sql鏈接hive的所需要的依賴,以及指定的scala的版本
注意:hive-site.xml文件需要放到$SPARK_HOME/conf目錄下,否則找不到表
運用spark-sql訪問hive
package com.infra.codelab.spark.hive import org.apache.spark.SparkConf import org.apache.spark.SparkContext object HiveTest { val conf = new SparkConf() val sc = new SparkContext(conf) def main(args: Array[String]): Unit = { val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc) sqlContext.sql("SELECT line FROM filecontent ").collect().foreach(println) } }
提交任務:
spark-submit --class com.infra.codelab.spark.hive.HiveTest --master spark://localhost:7077 /home/xiaobin/test/spark/wordcount-0.0.1-SNAPSHOT.jar
spark-sql:
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/xiaobin/soft/apache-hive-0.14.0-bin/lib/mysql-connector-java-5.1.35.jar
spark-sql --master spark://xiaobin:7077
spark-sql> select count(*) from filecontent; 483 Time taken: 3.628 seconds, Fetched 1 row(s)