python - Amazon EMR上的Pydoop

我将如何在Amazon EMR上使用Pydoop？

我尝试搜索这个主题无济于事:完全有可能吗？

最佳答案

我终于得到了这项工作。一切都在主节点上发生...随着用户hadoop切换到该节点

您需要一些软件包:

sudo easy_install argparse importlib
sudo apt-get update
sudo apt-get install libboost-python-dev

要构建东西:

wget http://apache.mirrors.pair.com/hadoop/common/hadoop-0.20.205.0/hadoop-0.20.205.0.tar.gz
wget http://sourceforge.net/projects/pydoop/files/Pydoop-0.6/pydoop-0.6.0.tar.gz
tar xvf hadoop-0.20.205.0.tar.gz
tar xvf pydoop-0.6.0.tar.gz

export JAVA_HOME=/usr/lib/jvm/java-6-sun
export JVM_ARCH=64 # I assume that 32 works for 32-bit systems
export HADOOP_HOME=/home/hadoop
export HADOOP_CPP_SRC=/home/hadoop/hadoop-0.20.205.0/src/c++/
export HADOOP_VERSION=0.20.205
export HDFS_LINK=/home/hadoop/hadoop-0.20.205.0/src/c++/libhdfs/

cd ~/hadoop-0.20.205.0/src/c++/libhdfs
sh ./configure
make
make install
cd ../install
tar cvfz ~/libhdfs.tar.gz lib
sudo tar xvf ~/libhdfs.tar.gz -C /usr

cd ~/pydoop-0.6.0
python setup.py bdist
cp dist/pydoop-0.6.0.linux-x86_64.tar.gz ~/
sudo tar xvf ~/pydoop-0.6.0.linux-x86_64.tar.gz -C /

保存两个tarball，以后，您可以跳过构建部分，而只需执行以下操作即可安装(需要弄清楚如何在多节点集群上安装boostrap选项)

sudo tar xvf ~/libhdfs.tar.gz -C /usr
sudo tar xvf ~/pydoop-0.6.0.linux-x86_64.tar.gz -C /

然后，我可以使用Full-fledged Hadoop API运行示例程序
(在修复构造函数中的错误后，调用super(WordCountMapper, self))。

#!/usr/bin/python

import pydoop.pipes as pp

class WordCountMapper(pp.Mapper):

  def __init__(self, context):
    super(WordCountMapper, self).__init__(context)
    context.setStatus("initializing")
    self.input_words = context.getCounter("WORDCOUNT", "INPUT_WORDS")

  def map(self, context):
    words = context.getInputValue().split()
    for w in words:
      context.emit(w, "1")
    context.incrementCounter(self.input_words, len(words))

class WordCountReducer(pp.Reducer):

  def reduce(self, context):
    s = 0
    while context.nextValue():
      s += int(context.getInputValue())
    context.emit(context.getInputKey(), str(s))

pp.runTask(pp.Factory(WordCountMapper, WordCountReducer))

我将该程序上传到存储桶中，并称为“运行”。然后，我使用了以下conf.xml:

<?xml version="1.0"?>
<configuration>

<property>
  <name>hadoop.pipes.executable</name>
  <value>s3://<my bucket>/run</value>
</property>

<property>
  <name>mapred.job.name</name>
  <value>myjobname</value>
</property>

<property>
  <name>hadoop.pipes.java.recordreader</name>
  <value>true</value>
</property>

<property>
  <name>hadoop.pipes.java.recordwriter</name>
  <value>true</value>
</property>

</configuration>

最后，我使用了以下命令行:

hadoop pipes -conf conf.xml -input s3://elasticmapreduce/samples/wordcount/input -output s3://tmp.nou/asdf

关于python - Amazon EMR上的Pydoop，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/10730311/