主要步骤跟Hadoop1.0(1.0安装地址)一致,主要在配置这块有更改
安装
下载地址:http://archive.apache.org/dist/hadoop/core/hadoop-2.6.5/
hadoop安装目录创建./tmp目录,./dfs/name,./dfs/data
- 修改./etc/hadoop/hadoop-env.sh
# 设置JAVA_HOME
export JAVA_HOME="/usr/local/src/jdk1.8.0_181/"
- 修改./etc/hadoop/yarn-env.sh
# 设置JAVA_HOME
JAVA_HOME="/usr/local/src/jdk1.8.0_181/"
- 修改./etc/hadoop/slaves
slave1
slave2
- 修改./etc/hadoop/core-site.xml
fs.defaultFS
hdfs://master:9000
hadoop.tmp.dir
file:/usr/local/src/hadoop-2.6.5/tmp
- 修改./etc/hadoop/hdfs-site.xml
dfs.namenode.secondary.http-address
master:9001
dfs.namenode.name.dir
file:/usr/local/src/hadoop-2.6.5/dfs/name
dfs.datanode.data.dir
file:/usr/local/src/hadoop-2.6.5/dfs/data
dfs.replication
2
- 修改./etc/hadoop/mapred-site.xml
mapreduce.framework.name
yarn
mapreduce.jobhistory.address
slave1:10020
mapreduce.jobhistory.webapp.address
slave1:19888
- 修改./etc/hadoop/yarn-site.xml
yarn.nodemanager.aux-services
mapreduce_shuffle
yarn.nodemanager.aux-services.mapreduce.shuffle.class
org.apache.hadoop.mapred.ShuffleHandler
yarn.resourcemanager.address
master:8032
yarn.resourcemanager.scheduler.address
master:8030
yarn.resourcemanager.resource-tracker.address
master:8035
yarn.resourcemanager.admin.address
master:8033
yarn.resourcemanager.webapp.address
master:8088
yarn.log-aggregation-enable
true
yarn.log-aggregation.retain-seconds
259200
yarn.log.server.url
http://slave1:19888/jobhistory/logs
yarn.nodemanager.vmem-pmem-ratio
4.0
和Hadoop1.0一样,第一次启动前,需要格式化hdfs:./bin/hadoop namenode -format
启动:./sbin/start-all.sh
使用:跟Hadoop1.0一样,使用./bin/hadoop命令
关闭:./sbin/stop-all.sh
提交MapReduce任务
基本上没什么变化,除了Hadoop streaming地址变了
[wadeyu@master mr_count]$ cat run.sh
HADOOP_CMD=/usr/local/src/hadoop-2.6.5/bin/hadoop
HADOOP_STREAMING_JAR=/usr/local/src/hadoop-2.6.5/share/hadoop/tools/lib/hadoop-streaming-2.6.5.jar
INPUT_FILE=/data/The_Man_of_Property.txt
OUTPUT_DIR=/output/wc
$HADOOP_CMD fs -rmr -skipTrash $OUTPUT_DIR
$HADOOP_CMD jar $HADOOP_STREAMING_JAR \
-input $INPUT_FILE \
-output $OUTPUT_DIR \
-mapper "python map.py" \
-reducer "python red.py" \
-file ./map.py \
-file ./red.py
参考资料
【0】八斗学院内部培训资料