hadoop 模式下的 Mrjob：启动作业时出错，输入路径错误：文件不存在

Posted 2023-04-18

【中文标题】hadoop 模式下的 Mrjob：启动作业时出错，输入路径错误：文件不存在

【英文标题】：Mrjob in hadoop mode: Error launching job , bad input path : File does not exist

【发布时间】：2016-12-24 15:04:34

【问题描述】：

我正在尝试运行Mrjob example 来自我的笔记本电脑上的 Hadoop with Python 一书，以伪分布式模式。

（文件salary.csv可以在here找到）

这样我就可以启动namenode和datanode了：

start-dfs.sh

返回：

Starting namenodes on [localhost]
localhost: starting namenode, logging to /home/me/hadoop-2.7.3/logs/hadoop-me-namenode-me-Notebook-PC.out
localhost: starting datanode, logging to /home/me/hadoop-2.7.3/logs/hadoop-me-datanode-me-Notebook-PC.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /home/me/hadoop-2.7.3/logs/hadoop-me-secondarynamenode-me-Notebook-PC.out

创建输入文件结构和复制我也没有问题 salaries.csv 致 hdfs：

hdfs dfs -mkdir /user/
hdfs dfs -mkdir /user/me/
hdfs dfs -mkdir /user/me/input/
hdfs dfs -put /home/me/Desktop/work/cv/hadoop/salaries.csv /user/me/input/
hdfs dfs -ls /user/me/input/

返回：

Found 1 items
-rw-r--r--   3 me supergroup    1771685 2016-12-24 15:57 /user/me/input/salaries.csv

我也让top_salaries.py 可执行：

sudo chmod a+x /home/me/Desktop/work/cv/hadoop/top_salaries.py

在本地模式下启动 top_salaries.py 也可以：

python2 top_salaries.py -r local salaries.csv > answer.csv

返回：

No configs found; falling back on auto-configuration
Creating temp directory /tmp/top_salaries.me.20161224.195052.762894
Running step 1 of 1...
Counters: 1
    warn
        missing gross=3223
Counters: 1
    warn
        missing gross=3223
Streaming final output from /tmp/top_salaries.me.20161224.195052.762894/output...
Removing temp directory /tmp/top_salaries.me.20161224.195052.762894...

但是，在 hadoop 上运行这个作业（把东西放在一起）python2 top_salaries.py -r hadoop hdfs:///user/me/input/salaries.csv 返回：

No configs found; falling back on auto-configuration
Looking for hadoop binary in $PATH...
Found hadoop binary: /home/me/hadoop-2.7.3/bin/hadoop
Using Hadoop version 2.7.3
Looking for Hadoop streaming jar in /home/me/hadoop-2.7.3...
Found Hadoop streaming jar: /home/me/hadoop-2.7.3/share/hadoop/tools/lib/hadoop-streaming-2.7.3.jar
Creating temp directory /tmp/top_salaries.me.20161224.195201.967990
Copying local files to hdfs:///user/me/tmp/mrjob/top_salaries.me.20161224.195201.967990/files/...
Running step 1 of 1...
  session.id is deprecated. Instead, use dfs.metrics.session-id
  Initializing JVM Metrics with processName=JobTracker, sessionId=
  Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized
  Cleaning up the staging area file:/tmp/hadoop-me/mapred/staging/me553683497/.staging/job_local553683497_0001
  Error launching job , bad input path : File does not exist: /tmp/hadoop-me/mapred/staging/me553683497/.staging/job_local553683497_0001/files/mrjob.zip#mrjob.zip
  Streaming Command Failed!
Attempting to fetch counters from logs...
Can't fetch history log; missing job ID
No counters found
Scanning logs for probable cause of failure...
Can't fetch history log; missing job ID
Can't fetch task logs; missing application ID
Step 1 of 1 failed: Command '['/home/me/hadoop-2.7.3/bin/hadoop', 'jar', '/home/me/hadoop-2.7.3/share/hadoop/tools/lib/hadoop-streaming-2.7.3.jar', '-files', 'hdfs:///user/me/tmp/mrjob/top_salaries.me.20161224.195201.967990/files/mrjob.zip#mrjob.zip,hdfs:///user/me/tmp/mrjob/top_salaries.me.20161224.195201.967990/files/setup-wrapper.sh#setup-wrapper.sh,hdfs:///user/me/tmp/mrjob/top_salaries.me.20161224.195201.967990/files/top_salaries.py#top_salaries.py', '-input', 'hdfs:///user/me/input/salaries.csv', '-output', 'hdfs:///user/me/tmp/mrjob/top_salaries.me.20161224.195201.967990/output', '-mapper', 'sh -ex setup-wrapper.sh python top_salaries.py --step-num=0 --mapper', '-combiner', 'sh -ex setup-wrapper.sh python top_salaries.py --step-num=0 --combiner', '-reducer', 'sh -ex setup-wrapper.sh python top_salaries.py --step-num=0 --reducer']' returned non-zero exit status 512

编辑：

这是我的 core-site.xml：

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

这是我的 hdfs-site.xml:

<configuration>
    <property>
       <name>dfs.namenode.name.dir</name>
       <value>/home/me/Desktop/work/cv/hadoop/namenode</value>
    </property>
    <property>
       <name>dfs.datanode.data.dir</name>
       <value>/home/me/Desktop/work/cv/hadoop/datanode</value>
    </property>
</configuration>

（其他 xml 配置文件，我没有编辑/更改）

编辑2：

这里是python脚本（和上面的github链接一样）

from mrjob.job import MRJob
from mrjob.step import MRStep
import csv

cols = 'Name,JobTitle,AgencyID,Agency,HireDate,AnnualSalary,GrossPay'.split(',')

class salarymax(MRJob):

    def mapper(self, _, line):
        # Convert each line into a dictionary
        row = dict(zip(cols, [ a.strip() for a in csv.reader([line]).next()]))

        # Yield the salary
        yield 'salary', (float(row['AnnualSalary'][1:]), line)

        # Yield the gross pay
        try:
            yield 'gross', (float(row['GrossPay'][1:]), line)
        except ValueError:
            self.increment_counter('warn', 'missing gross', 1)

    def reducer(self, key, values):
        topten = []

        # For 'salary' and 'gross' compute the top 10
        for p in values:
            topten.append(p)
            topten.sort()
            topten = topten[-10:]

        for p in topten:
            yield key, p

    combiner = reducer

if __name__ == '__main__':
salarymax.run()

【问题讨论】：

找不到文件 /tmp/hadoop-me/mapred/staging/me118248587/.staging/job_local118248587_0001/files/mrjob.zip#mrjob.zip 检查您的文件副本。

xml 文件没关系，我看到路径以 /tmp/hadoop-me 、 hdfs:///user/me 、 hdfs:///user/hduser 开头，有点乱。作业找不到mrjob.zip#mrjob.zip，请检查您如何为hadoop设置输入文件

哈！接得好。但是我该怎么做才能解决这个问题？我现在可以看到它很乱，但是我在哪里设置这些目录以便更整洁？

hadoop 使用同一个用户，所以所有用户名都相同。例如hdfs dfs -mkdir /user/me/ 而不是 hdfs dfs -mkdir /user/hduser/ 然后检查新的错误日志

添加你的python脚本代码

【参考方案1】：

Ok。您需要编辑文件core-site.xml：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://master:9000</value>
    </property>
</configuration>

文件hdfs-site.xml为：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/home/edureka/hadoop-2.7.3/namenode</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/home/edureka/hadoop-2.7.3/datanode</value>
    </property>
</configuration>

您需要将hdfs-site.xml 编辑为：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/home/edureka/hadoop-2.7.3/datanode</value>
    </property>
</configuration>

您需要创建一个mapred-site.xml 文件，内容如下：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

您需要编辑yarn-site.xml 以包含：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
</configuration>

然后做：

start-dfs.sh
start-yarn.sh

然后做：

hdfs dfs -mkdir /user/
hdfs dfs -mkdir /user/me/
hdfs dfs -mkdir /user/me/input/
hdfs dfs -put /home/me/Desktop/work/cv/hadoop/salaries.csv /user/me/input/

现在做：

sudo chmod a+x /home/me/Desktop/work/cv/hadoop/top_salaries.py
python2 top_salaries.py -r hadoop  hdfs:///user/me/input/salaries.csv > answer.csv

有效。

【讨论】：

您能否解释一下这个错误的原因以及如何通过这些配置修复它？谢谢你

对不起，这是很多年前的事了。我不记得了。与此同时，Hadoop 可能已经发生了很大变化（我不知道我已经多年没有使用它了）我什至不确定你的问题的答案是否仍然适用于今天。