从hadoop一路配置到spark

安装

jdk-8u131-linux-x64.gz

scala-2.11.8.tgz

hadoop-2.7.3.tar.gz

spark-2.1.1-bin-hadoop2.7.tgz

vim /etc/profile

export ZOOKEEPER_HOME=/opt/zookeeper-3.4.8

export PATH=$ZOOKEEPER_HOME/bin:$PATH

export JAVA_HOME=/opt/jdk1.8.0_131

export CLASSPATH=$JAVA_HOME/lib

export PATH=$JAVA_HOME/bin:$PATH

export CLASSPATH=$ZOOKEEPER_HOME/lib:$CLASSPATH

export JSTORM_HOME=/opt/jstorm-2.2.1

export PATH=$JSTORM_HOME/bin:$PATH

export SCALA_HOME=/opt/scala-2.11.8

export PATH=$SCALA_HOME/bin:$PATH

export HADOOP_HOME=/opt/hadoop-2.7.3

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

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

export SPARK_HOME=/opt/spark-2.1.1-bin-hadoop2.7

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

ssh免密码登陆

ssh-keygen -t rsa

cd /root/.ssh

cat id_rsa.pub >> authorized_keys     三台机器的id_rsa.pub合并

vim /etc/hosts

192.168.56.101 j001

192.168.56.102 j002

192.168.56.103 j003

hadoop配置

mkdir  /opt/data

mkdir  /opt/data/hadoop

mkdir  /opt/data/hadoop/tmp

cd /opt/hadoop-2.7.3/etc/hadoop

vim   hadoop-env.sh

export JAVA_HOME=/opt/jdk1.8.0_131

export HADOOP_PREFIX=/opt/hadoop-2.7.3

vim  yarn-env.sh

export JAVA_HOME=/opt/jdk1.8.0_131

vim  core-site.xml

<configuration>

<property>

<name>hadoop.tmp.dir</name>

<value>/opt/data/hadoop/tmp</value>

</property>

<property>

<name>fs.default.name</name>

<value>hdfs://主节点IP:9000(未被占用的端口号都可以)</value>

</property>

</configuration>

vim hdfs-site.xml

<configuration>

<property>

<name>dfs.replication</name>

<value> hdfs的副本数</value>

</property>

<property>

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

<value>dfs名称(/opt/data/hadoop/tmp/dfs/name)</value>

</property>

<property>

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

<value>dfs数据路径(/opt/data/hadoop/tmp/dfs/data)</value>

</property>

</configuration>

cp mapred-site.xml.template mapred-site.xml

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>

</configuration>

vim yarn-site.xml

<property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

<property>

<name>yarn.resourcemanager.hostname</name>

<value>j001</value>

</property>

---新增

在mapred-site.xml配置文件中添加：

<property>

<name>mapreduce.jobhistory.address</name>

<value>sjfx:10020</value>

</property>

在namenode上执行命令：mr-jobhistory-daemon.sh start historyserver

这样在，namenode上会启动JobHistoryServer服务，可以在historyserver的日志中查看运行情况

vim  slaves

j001

j002

j003

启动

hdfs namenode -format

cd sbin

start-dfs.sh

start-yarn.sh

http://192.168.56.101:50070/

停止Yarn及HDFS

#stop-yarn.sh

#stop-dfs.sh

SPARK配置

cd /opt/spark-2.1.1-bin-hadoop2.7/conf

mv spark-env.sh.template spark-env.sh

vim spark-env.sh

export JAVA_HOME=/opt/jdk1.8.0_131

export SCALA_HOME=/opt/scala-2.11.8

export SPARK_MASTER_HOST=192.168.56.101

export SPARK_MASTER_IP=192.168.56.101

export SPARK_LOCAL_IP=192.168.56.103

export SPARK_MASTER_PORT=7077

export SPARK_MASTER_WEBUI_PORT=8080

export SPARK_WORKER_PORT=7078

export SPARK_WORKER_WEBUI_PORT=8081

export SPARK_WORKER_MEMORY=400m

export HADOOP_HOME=/opt/hadoop-2.7.3

export HADOOP_CONF_DIR=/opt/hadoop-2.7.3/etc/hadoop

export SPARK_HOME=/opt/spark-2.1.1-bin-hadoop2.7

mv slaves.template slaves

j002

j003

start-master.sh

等http://192.168.56.101 :8080能访问了再执行start-slaves.sh

#stop-master.sh

#stop-slaves.sh

http://www.jianshu.com/p/e2665ddd5d31

http://blog.csdn.net/tangzwgo/article/details/25893989

hdfs dfs -mkdir /input

hdfs dfs -put aa.xtx /input

hadoop jar