spark安装步骤

1. 安装JDK7

1.1 解压 tar -xvf jdk-7u79-linux-x64.tar 

1.2 配置环境变量  vi .bash_profile

export JAVA_HOME=/home/spark0/soft/jdk1.7.0_79

export PATH=$JAVA_HOME/bin:$PATH

2.安装HDFS

2.1 解压 tar -zxvf hadoop-2.7.0.tar.gz 

2.2 编辑 hadoop-env.sh

export JAVA_HOME=/home/spark0/soft/jdk1.7.0_79  

2.3 修改配置文件 core-site.xml 

  <configuration>

   <property>

       <name>hadoop.tmp.dir</name>

       <value>file:/home/spark0/temp/hadoop</value>

       <description>Abase for other temporary directories.</description>

   </property>

   <property>

       <name>fs.defaultFS</name>

       <value>hdfs://supportsit1.core.sfp.com:9000</value>

   </property>

</configuration>

2.4 修改配置文件 hdfs-site.xml：

<configuration>

<property>

   <name>dfs.namenode.secondary.http-address</name>

   <value>supportsit1.core.sfp.com:50090</value>

</property>

   <property>

       <name>dfs.replication</name>

       <value>2</value>

   </property>

   <property>

       <name>dfs.namenode.name.dir</name>

       <value>file:/home/spark0/temp/hadoop/dfs/name</value>

   </property>

   <property>

       <name>dfs.datanode.data.dir</name>

       <value>file:/home/spark0/temp/hadoop/dfs/data</value>

   </property>

</configuration>

2.5 配置slaves

hadoop70

supportsit1.core.sfp.com

2.6 复制文件到slaves

scp jdk-7u79-linux-x64.tar hadoop70:/home/spark0/soft

tar -zcf ./hadoop-2.7.0.slave.tar.gz ./hadoop-2.7.0

scp ./hadoop-2.7.0.slave.tar.gz spark0@hadoop70:/home/spark0/soft

2.7 Slaves解压安装jdk和hadoop

2.8 执行namenode的格式化

bin/hdfs namenode -format

2.9 启动hdfs

sbin/start-dfs.sh

2.10 查看JPS

2.11 创建目录

./hdfs dfs -mkdir -p /spark/temp

2.12 放一个文件

./hdfs dfs -put ~/test1 /spark/temp/

3.安装SPARK的Standalone

3.1 解压 tar -xvf spark-1.4.1-bin-hadoop2.6.tgz 

3.2 配置 slaves

加入 supportsit1.core.sfp.com

hadoop70

3.3 配置 spark-env

3.4 配置 spark-defaults.conf

3.5 复制文件到slaves

tar -zcf ./spark-1.4.1-bin-hadoop2.6.slave.tgz ./spark-1.4.1-bin-hadoop2.6

scp ./spark-1.4.1-bin-hadoop2.6.slave.tgz spark0@hadoop70:/home/spark0/soft

3.6 启动sbin/start-master.sh  sbin/start-slaves.sh

val fileRdd = sc.textFile("hdfs://supportsit1.core.sfp.com:9000/spark/temp/analyData.text");

val express_indexpage = fileRdd.filter(_.contains("EXPRESS= FUNID=INDEXPAGE"))

val express_CHECKPRICE = fileRdd.filter(_.contains("EXPRESS= FUNID=CHECKPRICE"))

val express_CONFIRM = fileRdd.filter(_.contains("EXPRESS= FUNID=CONFIRM"))

val charge_indexpage = fileRdd.filter(_.contains("CHARGE= FUNID=INDEXPAGE"))

val charge_CHECKPRICE = fileRdd.filter(_.contains("CHARGE= FUNID=CHECKPRICE"))

val charge_CONFIRM = fileRdd.filter(_.contains("CHARGE= FUNID=CONFIRM"))

val sfbest_indexpage = fileRdd.filter(_.contains("SFBEST= FUNID=INDEXPAGE"))

val sfbest_load = fileRdd.filter(_.contains("LOAD"))

val sfbest_confirm = fileRdd.filter(_.contains("SFBEST= FUNID=CONFIRM"))

val sfbest = fileRdd.filter( line => (line.contains("SFBEST= FUNID=INDEXPAGE") ||  line.contains("LOAD") ))

val sfbestmap = sfbest.map( line=> (line.split("=")(9),line.split("=")(3).toLong  ) )

val sfbestreduce = sfbestmap.reduceByKey(_-_)

sfbestreduce.saveAsTextFile("hdfs://supportsit1.core.sfp.com:9000/spark/temp/test9")