ApacheFlume1.5在Hadoop2/自动故障转移集群配置中未给出预期结果

ztmd8pv5  于 2021-05-30  发布在  Hadoop
关注(0)|答案(2)|浏览(286)

我已经在centos 6.5//64位的ha/自动故障转移配置中配置了ApacheHadoop2集群。我已经安装了flume 1.5（apache-flume-1.5.0-bin.tar.gz）。我想用flume/hive和一些关键词过滤来分析twitter数据。见下图：

以下是hadoop2配置文件的内容（仅限重要属性）。
core-site.xml文件

<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>

hdfs-site.xml文件

<property><name>dfs.ha.namenodes.mycluster</name><value>nn1,nn2</value><final>true</final></property>
<property><name>dfs.namenode.rpc-address.mycluster.nn1</name><value>nn1.mycluster1.com:9000</value></property>
<property><name>dfs.namenode.rpc-address.mycluster.nn2</name><value>nn2.mycluster1.com:9000</value></property>
<property><name>dfs.namenode.http-address.mycluster.nn1</name><value>nn1.mycluster1.com:50070</value></property>
<property><name>dfs.namenode.http-address.mycluster.nn2</name><value>nn2.mycluster1.com:50070</value></property>

以下是flume配置文件内容：
Flume-env.sh

JAVA_HOME=/usr/java/jdk1.7.0_60
JAVA_OPTS="-Xms100m -Xmx200m -Dcom.sun.management.jmxremote"

推特.conf


# Name the components on this agent

TwitterAgent.sources = Twitter
TwitterAgent.sinks = HDFS
TwitterAgent.channels = MemChannel

# Describe/configure the source

TwitterAgent.sources.Twitter.type = org.apache.flume.source.twitter.TwitterSource
TwitterAgent.sources.Twitter.channels = MemChannel
TwitterAgent.sources.Twitter.consumerKey =**************
TwitterAgent.sources.Twitter.consumerSecret =**********
TwitterAgent.sources.Twitter.accessToken =**************
TwitterAgent.sources.Twitter.accessTokenSecret =**************

TwitterAgent.sources.Twitter.maxBatchSize = 1000
TwitterAgent.sources.Twitter.maxBatchDurationMillis = 1000

TwitterAgent.sources.Twitter.keywords=hadoop, big data, analytics, bigdata, cloudera, data science, mapreduce, mahout, nosql

TwitterAgent.sources.Twitter.bind = localhost
TwitterAgent.sources.Twitter.port = 44444

# Describe the sink

TwitterAgent.sinks.HDFS.type = logger
TwitterAgent.sinks.HDFS.channel = MemChannel
TwitterAgent.sinks.HDFS.hdfs.path=/user/flume/tweets/20140814/1_55
TwitterAgent.sinks.HDFS.fileType = DataStream
TwitterAgent.sinks.HDFS.writeFormat = Text
TwitterAgent.sinks.HDFS.batchSize = 100
TwitterAgent.sinks.HDFS.rollSize = 0
TwitterAgent.sinks.HDFS.rollCount = 100
TwitterAgent.sinks.HDFS.rollInterval = 100

# Use a channel which buffers events in memory

TwitterAgent.channels.MemChannel.type = memory
TwitterAgent.channels.MemChannel.capacity = 1000
TwitterAgent.channels.MemChannel.transactionCapacity = 100

我正在执行以下命令。

flume-ng agent --conf conf --conf-file conf/twitter.conf --name TwitterAgent -Dflume.root.logger=INFO,console

我有以下问题。
a） -过滤不起作用。我是否在配置文件中设置了错误的属性？
b） -此过程不会复制hdfs上的/user/flume/tweets/20140814/1_上的任何文件。
c） -twitter/api访问令牌的访问级别为只读。我需要读写权限吗？
d） -使用hdfs.path样式是否正确，就像我使用twitter.conf一样？
e） -进程正在执行且未停止，不确定它将停止的条件。
它将继续显示以下输出。

14/08/14 03:58:14 INFO twitter.TwitterSource: Processed 45,000 docs
14/08/14 03:58:14 INFO twitter.TwitterSource: Total docs indexed: 45,000, total skipped docs: 0
14/08/14 03:58:14 INFO twitter.TwitterSource:     53 docs/second
14/08/14 03:58:14 INFO twitter.TwitterSource: Run took 846 seconds and processed:
14/08/14 03:58:14 INFO twitter.TwitterSource:     0.013 MB/sec sent to index
14/08/14 03:58:14 INFO twitter.TwitterSource:     11.111 MB text sent to index
14/08/14 03:58:14 INFO twitter.TwitterSource: There were 0 exceptions ignored:
14/08/14 03:58:14 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:15 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:16 INFO twitter.TwitterSource: Processed 45,100 docs
14/08/14 03:58:16 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:17 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:18 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:18 INFO twitter.TwitterSource: Processed 45,200 docs
14/08/14 03:58:19 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:20 INFO twitter.TwitterSource: Processed 45,300 docs
14/08/14 03:58:20 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:21 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:22 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:22 INFO twitter.TwitterSource: Processed 45,400 docs
14/08/14 03:58:23 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:24 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:24 INFO twitter.TwitterSource: Processed 45,500 docs
14/08/14 03:58:25 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:26 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:26 INFO twitter.TwitterSource: Processed 45,600 docs
14/08/14 03:58:27 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:28 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:28 INFO twitter.TwitterSource: Processed 45,700 docs
14/08/14 03:58:29 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:30 INFO twitter.TwitterSource: Processed 45,800 docs
14/08/14 03:58:30 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:31 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:32 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:32 INFO twitter.TwitterSource: Processed 45,900 docs
14/08/14 03:58:33 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:34 INFO sink.LoggerSink: Event: { headers:{} body: 4F 62 6A 01 02 16 61 76 72 6F 2E 73 63 68 65 6D Obj...avro.schem }
14/08/14 03:58:34 INFO twitter.TwitterSource: Processed 46,000 docs
14/08/14 03:58:34 INFO twitter.TwitterSource: Total docs indexed: 46,000, total skipped docs: 0
14/08/14 03:58:34 INFO twitter.TwitterSource:     53 docs/second
14/08/14 03:58:34 INFO twitter.TwitterSource: Run took 867 seconds and processed:
14/08/14 03:58:34 INFO twitter.TwitterSource:     0.013 MB/sec sent to index
14/08/14 03:58:34 INFO twitter.TwitterSource:     11.36 MB text sent to index
14/08/14 03:58:34 INFO twitter.TwitterSource: There were 0 exceptions ignored:

有人能帮我吗，我缺少什么？
在执行此任务之前，我是否应该用maven重新构建flume？

hadoopflumetwitterflume-ngflume-twitter

2条答案

按热度按时间
ktecyv1j

ktecyv1j1#

在这里，您只看到正在处理的事件，但看不到由这些特定事件产生的实际json文件或json字符串。可能是因为Flume是一个“记录器”，记录一切取决于你的模式。解决方法：
在log4j.properties上，相应地替换配置：
flume.root.logger=全部，日志文件
干杯！

赞(0）分享  回复(0）举报  2021-05-30
ryevplcw

ryevplcw2#

不需要授予对twitter/api访问令牌的读写访问权限？您使用hdfs.path样式的方式也是正确的。
要修复主要问题（不复制文件），请执行以下更改：
conf/twitter.conf文件中的更改
（一）-
替换以下行：（twitteragent.sinks.hdfs.type=logger）
使用以下行：twitteragent.sinks.hdfs.type=hdfs
（二）-
注解以下行：


# TwitterAgent.sources.Twitter.type = com.cloudera.flume.source.TwitterSource

使用以下内容（apache类）

TwitterAgent.sources.Twitter.type = org.apache.flume.source.twitter.TwitterSource

flume-env.conf中的更改
注解如下：（无需设置此值）


# FLUME_CLASSPATH=""

为以下属性设置适当的值：

hdfs.filePrefix         
hdfs.fileSuffix         
hdfs.inUsePrefix        
hdfs.inUseSuffix        
hdfs.rollInterval       
hdfs.rollSize           
hdfs.rollCount          
hdfs.idleTimeout        
hdfs.batchSize          
hdfs.fileType   
hdfs.maxOpenFiles   
hdfs.minBlockReplicas   
hdfs.writeFormat    
hdfs.callTimeout    
hdfs.threadsPoolSize    
hdfs.rollTimerPoolSize  
hdfs.kerberosPrincipal  
hdfs.kerberosKeytab 
hdfs.proxyUser  
hdfs.round  
hdfs.roundValue 
hdfs.roundUnit  
hdfs.timeZone   
hdfs.useLocalTimeStamp  
hdfs.closeTries 
hdfs.retryInterval

要查看更多详细信息，请参阅以下链接：
https://flume.apache.org/flumeuserguide.html

赞(0）分享  回复(0）举报  2021-05-30
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