spark-sql部署实现与Hive交互

spark-sql部署

版本

Hadoop-2.5.0-cdh5.3.2 

Hive-0.13.1-cdh5.3.2

Spark-1.5.1

以CNSH001节点为例

spark master在CNSH001上：spark://CNSH001:7077

spark HistoryServer在CNSH001上：CNSH001:8032

spark eventLog在hdfs上：hdfs://testenv/spark/eventLog

分步指南

  

1. 拷贝$HIVE_HOME/conf/hive-site.xml, hive-log4j.properties 到 $SPARK_HOME/conf/目录

  

2.修改spark-defaults.conf

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spark.eventLog.enabled true  

spark.eventLog.dir hdfs://testenv/spark/eventLog  

spark.eventLog.compress true  

spark.yarn.historyServer.address=CNSH001:8032  

spark.sql.hive.metastore.version=0.13.1  

spark.port.maxRetries=100  

  

spark.sql.hive.metastore.jars=/opt/apps/hadoop/share/hadoop/mapreduce/*:/opt/apps/hadoop/share/hadoop/mapreduce/lib/*:/opt/apps/hadoop/share/hadoop/common/*:/opt/apps/hadoop/share/hadoop/common/lib/*:/opt/apps/hadoop/share/hadoop/hdfs/*  

:/opt/apps/hadoop/share/hadoop/hdfs/lib/*:/opt/apps/hadoop/share/hadoop/yarn/*:/opt/apps/hadoop/share/hadoop/yarn/lib/*:/opt/apps/hive/lib/*:/opt/apps/spark/lib/*  

spark.driver.extraLibraryPath=/opt/apps/hadoop/share/hadoop/mapreduce/*:/opt/apps/hadoop/share/hadoop/mapreduce/lib/*:/opt/apps/hadoop/share/hadoop/common/*:/opt/apps/hadoop/share/hadoop/common/lib/*:/opt/apps/hadoop/share/hadoop/hdfs/*  

:/opt/apps/hadoop/share/hadoop/hdfs/lib/*:/opt/apps/hadoop/share/hadoop/yarn/*:/opt/apps/hadoop/share/hadoop/yarn/lib/*:/opt/apps/hive/lib/*:/opt/apps/spark/lib/*  

spark.executor.extraLibraryPath=/opt/apps/hadoop/share/hadoop/mapreduce/*:/opt/apps/hadoop/share/hadoop/mapreduce/lib/*:/opt/apps/hadoop/share/hadoop/common/*:/opt/apps/hadoop/share/hadoop/common/lib/*:/opt/apps/hadoop/share/hadoop/hdfs  

/*:/opt/apps/hadoop/share/hadoop/hdfs/lib/*:/opt/apps/hadoop/share/hadoop/yarn/*:/opt/apps/hadoop/share/hadoop/yarn/lib/*:/opt/apps/hive/lib/*:/opt/apps/spark/lib/*  

 

3.修改spark-env.sh

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#set Hadoop path  

export HDFS_YARN_LOGS_DIR=/data1/hadooplogs  

export HADOOP_PREFIX=/opt/apps/hadoop  

export HADOOP_HOME=$HADOOP_PREFIX  

export HADOOP_COMMON_HOME=$HADOOP_HOME  

export HADOOP_HDFS_HOME=$HADOOP_HOME  

export HADOOP_MAPRED_HOME=$HADOOP_HOME  

export HADOOP_MAPRED_PID_DIR=$HADOOP_HOME/pids  

export HADOOP_YARN_HOME=$HADOOP_HOME  

export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop  

export HDFS_CONF_DIR=$HADOOP_HOME/etc/hadoop  

export HADOOP_LOG_DIR=$HDFS_YARN_LOGS_DIR/logs  

export HADOOP_PID_DIR=$HADOOP_HOME/pids  

export HADOOP_SECURE_DN_PID_DIR=$HADOOP_PID_DIR  

export YARN_HOME=$HADOOP_HOME  

export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop  

export YARN_LOG_DIR=$HDFS_YARN_LOGS_DIR/logs  

export YARN_PID_DIR=$HADOOP_HOME/pids  

export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin  

  

export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$HADOOP_CONF_DIR:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*:$HADOOP_COMMON_HOME/share/hadoop/common/*:$HADOOP_COMMON_HOME/share/hadoop/common/lib/*:$HADOOP_HDFS_HOME/share/hadoop/hdfs/*:$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*:$HADOOP_YARN_HOME/share/hadoop/yarn/*:$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*  

export CLASSPATH=$HADOOP_CLASSPATH:$CLASSPATH  

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### sparkSQL and hive  

export HIVE_HOME=/opt/apps/hive  

export SPARK_CLASSPATH=$SPARK_HOME/lib:$HIVE_HOME/lib:$HADOOP_CLASSPATH  

4.[ERROR] Terminal initialization failed; falling back to unsupported
解决问题java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected

需要删除/opt/apps/hadoop/share/hadoop/yarn/lib/jline-0.9.94.jar文件，在/etc/profile中配置export HADOOP_USER_CLASSPATH_FIRST=true 并source操作

见：https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark:+Getting+Started

 

5.使用spark-shell

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val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)  

sqlContext.sql("select * from test limit 2 ").collect().foreach(println)  

6.使用spark-sql启动local模式

里面可以直接输入HiveQL语句执行

7. 启动standalone集群模式的spark-sql 

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spark-sql --master spark://CNSH001:7077    

（该主机地址应该对应spark的ALIVE节点）

8.启动spark on yarn模式的spark-sql

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spark-sql --master yarn-client   

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或者   

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spark-sql --master yarn-cluster(暂时还不支持)