Question

我想执行与机器学习相关的python文件，因为你知道有两个文件作为输入（训练和测试），这对于学习过程很重要。我也没有减少文件。

我有三个疑问来执行我的命令：

使用两个输入文件，我根据Using multiple mapper inputs in one streaming job on hadoop?

-input file1 -input file2

关闭缩减，我根据How to write 'map only' hadoop jobs?

-D mapred.reduce.tasks=0

当我想读下一个输入时如何刷新我的“sys.stdin”？实际上我在我的python代码中使用了sys.stdout.flush()。

这是我在cmd windows上的命令：

D:\hadoop\bin\hadoop jar D:\hadoop\share\hadoop\tools\lib\hadoop-streaming-2.3.0.jar 
-D mapred.reduce.tasks=0
-file /in/Deeplearning.py -mapper "python Deeplearning.py" 
-input /in/train.csv -input /in/test.csv 
-output /output

我使用：Windows 10 64位Python 3.6和我的IDE是spyder 3.2.6，Hadoop 2.7.2，java jdk1.8.0_161

这是我的python代码：

import sys
import numpy as np
from numpy.random import permutation
import pandas as pd
import tflearn
from tflearn.layers.core import input_data,dropout,fully_connected
from tflearn.layers.conv import conv_2d
from tflearn.layers.normalization import local_response_normalization
from tflearn.layers.estimator import regression
from sklearn.cross_validation import train_test_split


def split_matrices_into_random_train_test_subsets():
    train = pd.read_csv(sys.stdin)
    train = np.array(train)
    train = permutation(train)
    X = train[:,1:785].astype(np.float32) 
    y = train[:,0].astype(np.float32)
    return train_test_split(X, y, test_size=0.33, random_state=42)

def reshape_data(Data,Labels):
    Data = Data.reshape(-1,28,28,1).astype(np.float32)
    Labels = (np.arange(10) == Labels[:,None]).astype(np.float32)
    return Data,Labels

X_train, X_test, y_train, y_test = split_matrices_into_random_train_test_subsets()

X_train,y_train = reshape_data(X_train,y_train)
X_test,y_test = reshape_data(X_test,y_test)
sys.stdout.flush() 
test_x = np.array(pd.read_csv(sys.stdin))
test_x = test_x.reshape(-1,28,28,1)

def Convolutional_neural_network():
    network  = input_data(shape=[None,28,28,1],name='input_layer')
    network  = conv_2d(network, nb_filter=6,  filter_size=6, strides=1, activation='relu', regularizer='L2')  
    network  = local_response_normalization(network)
    network  = conv_2d(network, nb_filter=12, filter_size=5, strides=2, activation='relu', regularizer='L2') 
    network  = local_response_normalization(network)
    network  = conv_2d(network, nb_filter=24, filter_size=4, strides=2, activation='relu', regularizer='L2')
    network  = local_response_normalization(network)    

    network = fully_connected(network, 128, activation='tanh')
    network = dropout(network, 0.8)
    network = fully_connected(network, 256, activation='tanh')
    network = dropout(network, 0.8) 
    network = fully_connected(network, 10, activation='softmax') 

    sgd   = tflearn.SGD(learning_rate=0.1,lr_decay=0.096,decay_step=100)
    top_k = tflearn.metrics.top_k(3) 

    network = regression(network, optimizer=sgd, metric=top_k, loss='categorical_crossentropy')
    return tflearn.DNN(network, tensorboard_dir='tf_CNN_board', tensorboard_verbose=3)

model = Convolutional_neural_network()
model.fit(X_train, y_train, batch_size=128, validation_set=(X_test,y_test), n_epoch=1, show_metric=True)

P = model.predict(test_x)

index = [i for i in range(1,len(P)+1)]
result = []
for i in range(len(P)):
    result.append(np.argmax(P[i]).astype(np.int))

res = pd.DataFrame({'ImageId':index,'Label':result})
print('%s\t' % (res))

我的python代码工作正常，我只想在Hadoop生态系统上运行它当我跑命令时，我明白了：

D:\hadoop\sbin>D:\hadoop\bin\hadoop jar D:\hadoop\share\hadoop\tools\lib\hadoop-streaming-2.3.0.jar -D mapred.reduce.tasks=0 -file /in/Deeplearning.py -mapper "python Deeplearning.py" -input /in/train.csv -input /in/test.csv -output /output12
18/02/24 22:09:37 WARN streaming.StreamJob: -file option is deprecated, please use generic option -files instead.
packageJobJar: [/in/Deeplearning.py, /D:/tmp/hadoop-Mahsa/hadoop-unjar6766109988740119098/] [] C:\Users\Mahsa\AppData\Local\Temp\streamjob6727979790632634187.jar tmpDir=null
18/02/24 22:09:39 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
18/02/24 22:09:39 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
18/02/24 22:09:41 INFO mapred.FileInputFormat: Total input paths to process : 2
18/02/24 22:09:41 INFO mapreduce.JobSubmitter: number of splits:3
18/02/24 22:09:41 INFO Configuration.deprecation: mapred.reduce.tasks is deprecated. Instead, use mapreduce.job.reduces
18/02/24 22:09:42 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1519494353792_0004
18/02/24 22:09:42 INFO impl.YarnClientImpl: Submitted application application_1519494353792_0004
18/02/24 22:09:42 INFO mapreduce.Job: The url to track the job: http://Mahsa:8088/proxy/application_1519494353792_0004/
18/02/24 22:09:42 INFO mapreduce.Job: Running job: job_1519494353792_0004
18/02/24 22:09:55 INFO mapreduce.Job: Job job_1519494353792_0004 running in uber mode : false
18/02/24 22:09:55 INFO mapreduce.Job:  map 0% reduce 0%
18/02/24 22:11:09 INFO mapreduce.Job:  map 75% reduce 0%
18/02/24 22:11:09 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000002_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:11:10 INFO mapreduce.Job:  map 42% reduce 0%
18/02/24 22:11:12 INFO mapreduce.Job:  map 64% reduce 0%
18/02/24 22:11:15 INFO mapreduce.Job:  map 67% reduce 0%
18/02/24 22:11:24 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000001_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:11:25 INFO mapreduce.Job:  map 33% reduce 0%
18/02/24 22:11:28 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000000_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:11:29 INFO mapreduce.Job:  map 0% reduce 0%
18/02/24 22:12:38 INFO mapreduce.Job:  map 21% reduce 0%
18/02/24 22:12:39 INFO mapreduce.Job:  map 74% reduce 0%
18/02/24 22:12:39 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000002_1, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:12:40 INFO mapreduce.Job:  map 41% reduce 0%
18/02/24 22:12:41 INFO mapreduce.Job:  map 53% reduce 0%
18/02/24 22:12:42 INFO mapreduce.Job:  map 65% reduce 0%
18/02/24 22:12:47 INFO mapreduce.Job:  map 67% reduce 0%
18/02/24 22:12:54 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000001_1, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:12:55 INFO mapreduce.Job:  map 33% reduce 0%
18/02/24 22:12:56 INFO mapreduce.Job:  map 34% reduce 0%
18/02/24 22:12:57 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000000_1, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:12:58 INFO mapreduce.Job:  map 0% reduce 0%
18/02/24 22:14:11 INFO mapreduce.Job:  map 29% reduce 0%
18/02/24 22:14:12 INFO mapreduce.Job:  map 62% reduce 0%
18/02/24 22:14:12 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000002_2, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:14:13 INFO mapreduce.Job:  map 29% reduce 0%
18/02/24 22:14:14 INFO mapreduce.Job:  map 56% reduce 0%
18/02/24 22:14:18 INFO mapreduce.Job:  map 67% reduce 0%
18/02/24 22:14:25 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000001_2, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:14:26 INFO mapreduce.Job:  map 33% reduce 0%
18/02/24 22:14:31 INFO mapreduce.Job:  map 34% reduce 0%
18/02/24 22:14:31 INFO mapreduce.Job: Task Id : attempt_1519494353792_0004_m_000000_2, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
        at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
        at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
        at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
        at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

18/02/24 22:14:32 INFO mapreduce.Job:  map 0% reduce 0%
18/02/24 22:14:46 INFO mapreduce.Job:  map 33% reduce 0%
18/02/24 22:14:47 INFO mapreduce.Job:  map 100% reduce 0%
18/02/24 22:15:02 INFO mapreduce.Job: Job job_1519494353792_0004 failed with state FAILED due to: Task failed task_1519494353792_0004_m_000002
Job failed as tasks failed. failedMaps:1 failedReduces:0

18/02/24 22:15:02 INFO mapreduce.Job: Counters: 13
        Job Counters
                Failed map tasks=10
                Killed map tasks=2
                Launched map tasks=12
                Other local map tasks=9
                Data-local map tasks=3
                Total time spent by all maps in occupied slots (ms)=857100
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=857100
                Total vcore-seconds taken by all map tasks=857100
                Total megabyte-seconds taken by all map tasks=877670400
        Map-Reduce Framework
                CPU time spent (ms)=0
                Physical memory (bytes) snapshot=0
                Virtual memory (bytes) snapshot=0
18/02/24 22:15:02 ERROR streaming.StreamJob: Job not Successful!
Streaming Command Failed!

先谢谢你的帮助或任何想法？

Windows cmd上的Python hadoop，一个映射器和多个输入，错误：子进程失败

0 个答案: