Learn ZYNQ(10) – zybo cluster word count

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1.配置环境说明

spark:5台zybo板，192.168.1.1master，其它4台为slave

hadoop：192.168.1.1（外接SanDisk )

2.单节点hadoop测试：

如果出现内存不足情况如下：

查看当前虚拟内存容量：

free -m
cd /mnt
mkdir swap
cd swap/
创建一个swap文件
dd if=/dev/zero of=swapfile bs=1024 count=1000000
把生成的文件转换成swap文件
mkswap swapfile
激活swap文件
swapon swapfile
free -m

通过测试：

3.spark + hadoop 测试

SPARK_MASTER_IP=192.168.1.1 ./sbin/start-all.sh

MASTER=spark://192.168.1.1:7077 ./bin/pyspark

file = sc.textFile("hdfs://192.168.1.1:9000/in/file")
counts = file.flatMap(lambda line: line.split(" ")) \
             .map(lambda word: (word, 1)) \
             .reduceByKey(lambda a, b: a + b)
counts.saveAsTextFile("hdfs://192.168.1.1:9000/out/mycount")
counts.saveAsTextFile("/mnt/mycount")
counts.collect()

counts.collect()

错误1：

java.net.ConnectException: Call From zynq/192.168.1.1 to spark1:8020 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused

这是由于我们用root启动hadoop，而spark要远程操作hadoop系统，没有权限引起的

解决：如果是测试环境，可以取消hadoop hdfs的用户权限检查。打开etc/hadoop/hdfs-site.xml，找到dfs.permissions属性修改为false（默认为true）OK了。

<property>
        <name>dfs.permissions</name>
        <value>false</value>
</property>

4.附：我的配置文件

go.sh:

#! /bin/sh -

mount /dev/sda1 /mnt/
cd /mnt/swap/
swapon swapfile
free -m

cd /root/hadoop-2.4.0/
sbin/hadoop-daemon.sh start namenode
sbin/hadoop-daemon.sh start datanode
sbin/hadoop-daemon.sh start secondarynamenode
sbin/yarn-daemon.sh start resourcemanager
sbin/yarn-daemon.sh start nodemanager
sbin/mr-jobhistory-daemon.sh start historyserver

jps
while [ `netstat -ntlp | grep 9000` -eq `echo` ]
do
sleep 1
done
netstat -ntlp
echo hadoop start successfully

cd /root/spark-0.9.1-bin-hadoop2
SPARK_MASTER_IP=192.168.1.1 ./sbin/start-all.sh
jps
while [ `netstat -ntlp | grep 7077` -eq `echo` ]
do
sleep 1
done 
netstat -ntlp
echo spark start successfully

/etc/hosts

#127.0.0.1      localhost       zynq
192.168.1.1     spark1          localhost       zynq
#192.168.1.1    spark1
192.168.1.2     spark2
192.168.1.3     spark3
192.168.1.4     spark4
192.168.1.5     spark5
192.168.1.100   sparkMaster
#::1            localhost ip6-localhost ip6-loopback

/etc/profile

export PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:$PATH
export JAVA_HOME=/usr/lib/jdk1.7.0_55
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:$JAVA_HOME/lib/tools.jar
export PATH=$JAVA_HOME/bin:$PATH
export HADOOP_HOME=/root/hadoop-2.4.0

export PATH=$PATH:$HADOOP_HOME/bin
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib/native"
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

ifconfig eth2 hw ether 00:0a:35:00:01:01
ifconfig eth2 192.168.1.1/24 up

HADOOP_HOME/etc/hadoop/yarn-site.xml

<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>

<property>
<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>

</configuration>

HADOOP_HOME/etc/hadoop/core-site.xml

<configuration>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://localhost:9000</value>
    </property>


    <property>
        <name>hadoop.tmp.dir</name>
        <value>/mnt/hadoop/tmp</value>
    </property>
</configuration>

HADOOP_HOME/etc/hadoop/hdfs-site.xml

<configuration>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>

    <property>
        <name>dfs.namenode.rpc-address</name>
        <value>192.168.1.1:9000</value>
    </property>

    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/mnt/datanode</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/mnt/namenode</value>
    </property>
</configuration>

done

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Learn ZYNQ(10) – zybo cluster word count

标签：style   blog   http   java   strong   文件   

原文地址：http://www.cnblogs.com/shenerguang/p/3834006.html