Hadoop 如何在ftp源flume代理中保留文件的原始基名

我配置了一个flume代理，它从FTP服务器读取文件并将文件发送到hdfs接收器。 我最大的问题是，我想用原始文件名在hdfs中存储文件。我试过使用Spooldir源代码，它工作正常，能够用它们的basename将文件存储在hdfs中，但flume代理崩溃了：

1） 如果将文件放入后台处理目录后写入，Flume将在其日志文件中打印错误并停止处理

2） 如果以后重新使用文件名，Flume将在其日志文件中打印错误并停止处理

事实上，spooldir源代码不适合我的用例。 那么，有没有办法让ftp源保留文件名，然后hdfs根据文件名分别存储文件

这是我的代理人：

agent.sources = r1
agent.channels = c1
agent.sinks = k

#configure ftp source
agent.sources.r1.type = org.keedio.flume.source.mra.source.Source
agent.sources.r1.client.source = sftp
agent.sources.r1.name.server = ip
agent.sources.r1.user = user
agent.sources.r1.password = pwd
agent.sources.r1.port = 22
agent.sources.r1.knownHosts = ~/.ssh/known_hosts
agent.sources.r1.work.dir = /DATA/flume_ftp_source
agent.sources.r1.fileHeader = true
agent.sources.r1.basenameHeader = true
agent.sources.r1.inputCharset = ISO-8859-1
agent.sources.r1.flushlines = true

#configure sink s1
agent.sinks.k.type = hdfs
agent.sinks.k.hdfs.path =  hdfs://hostname:8020/user/admin/DATA/import_flume/agents/agent1/%Y/%m/%d/%H
agent.sinks.k.hdfs.filePrefix = %{basename}
agent.sinks.k.hdfs.rollCount = 0
agent.sinks.k.hdfs.rollInterval = 0
agent.sinks.k.hdfs.rollSize = 0
agent.sinks.k.hdfs.useLocalTimeStamp = true
agent.sinks.k.hdfs.batchsize =    1000000
agent.sinks.k.hdfs.fileType = DataStream

agent.channels.c1.type = memory
agent.channels.c1.capacity =  1000000
agent.channels.c1.transactionCapacity =   1000000

agent.sources.r1.channels = c1
agent.sinks.k.channel = c1

---

我刚刚为flume ftp github项目推出了一个解决方案：

菲利普

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我刚刚为flume ftp github项目推出了一个解决方案：

菲利普

---

正如我所说，根据以下代码更新： ，下面是我如何使用%{basename}变量的：

##############
# COMPONENTS #
##############
myPrj.sources = source_01
myPrj.channels = channel_01
myPrj.sinks = sink_01

############
# BINDINGS #
############
myPrj.sources.source_01.channels = channel_01
myPrj.sinks.sink_01.channel = channel_01

###########
# CHANNEL #
###########
myPrj.channels.channel_01.type = memory
myPrj.channels.channel_01.capacity = 10000
myPrj.channels.channel_01.transactionCapacity = 10000

##########
# SOURCE #
##########
myPrj.sources.source_01.type = org.keedio.flume.source.ftp.source.Source

myPrj.sources.source_01.client.source = ftp
myPrj.sources.source_01.name.server = 127.0.0.1
myPrj.sources.source_01.user = myPrj
myPrj.sources.source_01.password = myPrj
myPrj.sources.source_01.port = 21

#myPrj.sources.source_01.security.enabled = true
#myPrj.sources.source_01.security.cipher = TLS
#myPrj.sources.source_01.security.certificate.enabled = true
#myPrj.sources.source_01.path.keystore = /paht/to/keystore
#myPrj.sources.source_01.store.pass = the_keyStore_password 

myPrj.sources.source_01.run.discover.delay = 5000
myPrj.sources.source_01.flushlines = false
myPrj.sources.source_01.chunk.size = 33554432

myPrj.sources.source_01.folder = /home/foo/app-flume-ftp-hdfs
myPrj.sources.source_01.file.name = flume-ftp-hdfs.ser

myPrj.sources.source_01.fileHeader = true
myPrj.sources.source_01.basenameHeader = true

# Deserializer
myPrj.sources.source_01.deserializer = org.apache.flume.sink.solr.morphline.BlobDeserializer$Builder
myPrj.sources.source_01.deserializer.maxBlobLength = 33554432

########
# SINK #
########
#myPrj.sinks.sink_01.type = logger
myPrj.sinks.sink_01.type = hdfs
myPrj.sinks.sink_01.hdfs.path = /user/foo/ftp_source/%Y/%m/%d/%H/%M/%{basename}
myPrj.sinks.sink_01.hdfs.filePrefix = FTP_SOURCE
myPrj.sinks.sink_01.hdfs.useLocalTimeStamp = true
myPrj.sinks.sink_01.hdfs.rollCount = 0
myPrj.sinks.sink_01.hdfs.rollInterval = 0
myPrj.sinks.sink_01.hdfs.batchSize = 100

# Data compressed
#myPrj.sinks.sink_01.hdfs.rollSize = 33554432
#myPrj.sinks.sink_01.hdfs.codeC = gzip
#myPrj.sinks.sink_01.hdfs.fileType = CompressedStream

# Data no compressed
myPrj.sinks.sink_01.hdfs.rollSize = 33554432
myPrj.sinks.sink_01.hdfs.fileType = DataStream

---

正如我所说，根据以下代码更新： ，下面是我如何使用%{basename}变量的：

##############
# COMPONENTS #
##############
myPrj.sources = source_01
myPrj.channels = channel_01
myPrj.sinks = sink_01

############
# BINDINGS #
############
myPrj.sources.source_01.channels = channel_01
myPrj.sinks.sink_01.channel = channel_01

###########
# CHANNEL #
###########
myPrj.channels.channel_01.type = memory
myPrj.channels.channel_01.capacity = 10000
myPrj.channels.channel_01.transactionCapacity = 10000

##########
# SOURCE #
##########
myPrj.sources.source_01.type = org.keedio.flume.source.ftp.source.Source

myPrj.sources.source_01.client.source = ftp
myPrj.sources.source_01.name.server = 127.0.0.1
myPrj.sources.source_01.user = myPrj
myPrj.sources.source_01.password = myPrj
myPrj.sources.source_01.port = 21

#myPrj.sources.source_01.security.enabled = true
#myPrj.sources.source_01.security.cipher = TLS
#myPrj.sources.source_01.security.certificate.enabled = true
#myPrj.sources.source_01.path.keystore = /paht/to/keystore
#myPrj.sources.source_01.store.pass = the_keyStore_password 

myPrj.sources.source_01.run.discover.delay = 5000
myPrj.sources.source_01.flushlines = false
myPrj.sources.source_01.chunk.size = 33554432

myPrj.sources.source_01.folder = /home/foo/app-flume-ftp-hdfs
myPrj.sources.source_01.file.name = flume-ftp-hdfs.ser

myPrj.sources.source_01.fileHeader = true
myPrj.sources.source_01.basenameHeader = true

# Deserializer
myPrj.sources.source_01.deserializer = org.apache.flume.sink.solr.morphline.BlobDeserializer$Builder
myPrj.sources.source_01.deserializer.maxBlobLength = 33554432

########
# SINK #
########
#myPrj.sinks.sink_01.type = logger
myPrj.sinks.sink_01.type = hdfs
myPrj.sinks.sink_01.hdfs.path = /user/foo/ftp_source/%Y/%m/%d/%H/%M/%{basename}
myPrj.sinks.sink_01.hdfs.filePrefix = FTP_SOURCE
myPrj.sinks.sink_01.hdfs.useLocalTimeStamp = true
myPrj.sinks.sink_01.hdfs.rollCount = 0
myPrj.sinks.sink_01.hdfs.rollInterval = 0
myPrj.sinks.sink_01.hdfs.batchSize = 100

# Data compressed
#myPrj.sinks.sink_01.hdfs.rollSize = 33554432
#myPrj.sinks.sink_01.hdfs.codeC = gzip
#myPrj.sinks.sink_01.hdfs.fileType = CompressedStream

# Data no compressed
myPrj.sinks.sink_01.hdfs.rollSize = 33554432
myPrj.sinks.sink_01.hdfs.fileType = DataStream

---

那么，你能扩展一下如何使用它来为OP工作吗？现在它只不过是一个链接，你推了一些东西。仅仅是一个答案。你能扩展一下如何使用它来为OP工作吗。现在它只不过是一个链接，你推了一些东西。几乎没有答案。