SparkSQL配置(HIVE作为数据源)

HIVE的配置（以mysql做为元数据的存储，hdfs作为数据的存储）：

1.修改 hive-env.sh  （可以从hive-default.xml.template拷贝修改）

#hadoop的主目录

export HADOOP_HOME=/usr/local/hadoop
# Hive Configuration Directory can be controlled by:
export HIVE_CONF_DIR=/usr/local/hive/conf
# Folder containing extra ibraries required for hive compilation/execution can be controlled by:
export HIVE_AUX_JARS_PATH=/usr/local/hive/lib

2.修改 hive-site.xml(可以参考hive-default.xml.template修改)

#此处主要配置与mysql相关信息

  
    javax.jdo.option.ConnectionURL
    jdbc:mysql://master:3306/hive?createDatabaseIfNotExist=true
    JDBC connect string for a JDBC metastore
  

  
    javax.jdo.option.ConnectionPassword
    youpassword
    password to use against metastore database
  

 
    javax.jdo.option.ConnectionUserName
    root
    Username to use against metastore database
  

至此hive基本配置完毕

然后启动./HIVE_HOME/bin/hive 看是否能启动成功！

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配置spark

1.修改spark-env.sh

#内存根据自己的机器配置，注意：太配置小了，运行会出现no resource。。。。。。，

export SCALA_HOME=/usr/local/spark
export JAVA_HOME=/usr/local/jdk1.8.0
export HADOOP_HOME=/usr/local/hadoop
export HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop
export SPARK_MASTER_IP=master
export SPARK_WORKER_MEMORY=800m
export SPARK_EXECUTOR_MEMORY=800m
export SPARK_DRIVER_MEMORY=800m
export SPARK_WORKER_CORES=4

export MASTER=spark://master:7077

2.配置spark-defaults.conf

spark.executor.extraJavaOptions  -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two thr"
spark.eventLog.enabled           true
spark.eventLog.dir               hdfs://master:9000/historyserverforSpark

#可以用来查看spark的历史执行任务 web UI
spark.yarn.historyServer.address        master:18080

spark.history.fs.logDirectory   hdfs://master:9000/historyserverforSpark 

3.配置slaves（配置了两个work节点）

slave1
slave2

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在spark/conf中配置添加hive-site.xml,内容如下

hive.metastore.uris  
    thrift://master:9083  
    Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore. 

4.启动 hive的元数据

 hive --servie meatastore

5. 启动sparkSQL

./bin/spark-bin