I have successfully configured flume to transfer text files from a local folder to hdfs. My problem is when this file is transfered into hdfs, some unwanted text "hdfs.write.Longwriter + binary characters" are prefixed in my text file.
Here is my flume.conf
agent.sources = flumedump
agent.channels = memoryChannel
agent.sinks = flumeHDFS
agent.sources.flumedump.type = spooldir
agent.sources.flumedump.spoolDir = /opt/test/flume/flumedump/
agent.sources.flumedump.channels = memoryChannel
# Each sink's type must be defined
agent.sinks.flumeHDFS.type = hdfs
agent.sinks.flumeHDFS.hdfs.path = hdfs://bigdata.ibm.com:9000/user/vin
agent.sinks.flumeHDFS.fileType = DataStream
#Format to be written
agent.sinks.flumeHDFS.hdfs.writeFormat = Text
agent.sinks.flumeHDFS.hdfs.maxOpenFiles = 10
# rollover file based on maximum size of 10 MB
agent.sinks.flumeHDFS.hdfs.rollSize = 10485760
# never rollover based on the number of events
agent.sinks.flumeHDFS.hdfs.rollCount = 0
# rollover file based on max time of 1 mi
agent.sinks.flumeHDFS.hdfs.rollInterval = 60
#Specify the channel the sink should use
agent.sinks.flumeHDFS.channel = memoryChannel
# Each channel's type is defined.
agent.channels.memoryChannel.type = memory
# Other config values specific to each type of channel(sink or source)
# can be defined as well
# In this case, it specifies the capacity of the memory channel
agent.channels.memoryChannel.capacity = 100
My source text file is very simple containing text :
Hi My name is Hadoop and this is file one.
The sink file I get in hdfs looks like this :
SEQ !org.apache.hadoop.io.LongWritable org.apache.hadoop.io.Text������5����>I <4 H�ǥ�+Hi My name is Hadoop and this is file one.
Please let me know what am i doing wrong?
Figured it out.
I had to fix this line
agent.sinks.flumeHDFS.fileType = DataStream
and change it to
agent.sinks.flumeHDFS.hdfs.fileType = DataStream
this fixed the issue.
Related
I have a usecase where i want to copy remote file into hdfs using flume. I also want that the copied files should align with the HDFS block size (128MB/256MB).Total size of remote data is 33GB.
I am using avro source and sink to copy remote data into hdfs. Similarly from sink side i am doing file size rolling(128,256).but for copying file from remote machine and storing it into hdfs(file size 128/256 MB) flume is taking an avg of 2 min.
Flume Configuration:
Avro Source(Remote Machine)
### Agent1 - Spooling Directory Source and File Channel, Avro Sink ###
# Name the components on this agent
Agent1.sources = spooldir-source
Agent1.channels = file-channel
Agent1.sinks = avro-sink
# Describe/configure Source
Agent1.sources.spooldir-source.type = spooldir
Agent1.sources.spooldir-source.spoolDir =/home/Benchmarking_Simulation/test
# Describe the sink
Agent1.sinks.avro-sink.type = avro
Agent1.sinks.avro-sink.hostname = xx.xx.xx.xx #IP Address destination machine
Agent1.sinks.avro-sink.port = 50000
#Use a channel which buffers events in file
Agent1.channels.file-channel.type = file
Agent1.channels.file-channel.checkpointDir = /home/Flume_CheckPoint_Dir/
Agent1.channels.file-channel.dataDirs = /home/Flume_Data_Dir/
Agent1.channels.file-channel.capacity = 10000000
Agent1.channels.file-channel.transactionCapacity=50000
# Bind the source and sink to the channel
Agent1.sources.spooldir-source.channels = file-channel
Agent1.sinks.avro-sink.channel = file-channel
Avro Sink(Machine where hdfs running)
### Agent1 - Avro Source and File Channel, Avro Sink ###
# Name the components on this agent
Agent1.sources = avro-source1
Agent1.channels = file-channel1
Agent1.sinks = hdfs-sink1
# Describe/configure Source
Agent1.sources.avro-source1.type = avro
Agent1.sources.avro-source1.bind = xx.xx.xx.xx
Agent1.sources.avro-source1.port = 50000
# Describe the sink
Agent1.sinks.hdfs-sink1.type = hdfs
Agent1.sinks.hdfs-sink1.hdfs.path =/user/Benchmarking_data/multiple_agent_parallel_1
Agent1.sinks.hdfs-sink1.hdfs.rollInterval = 0
Agent1.sinks.hdfs-sink1.hdfs.rollSize = 130023424
Agent1.sinks.hdfs-sink1.hdfs.rollCount = 0
Agent1.sinks.hdfs-sink1.hdfs.fileType = DataStream
Agent1.sinks.hdfs-sink1.hdfs.batchSize = 50000
Agent1.sinks.hdfs-sink1.hdfs.txnEventMax = 40000
Agent1.sinks.hdfs-sink1.hdfs.threadsPoolSize=1000
Agent1.sinks.hdfs-sink1.hdfs.appendTimeout = 10000
Agent1.sinks.hdfs-sink1.hdfs.callTimeout = 200000
#Use a channel which buffers events in file
Agent1.channels.file-channel1.type = file
Agent1.channels.file-channel1.checkpointDir = /home/Flume_Check_Point_Dir
Agent1.channels.file-channel1.dataDirs = /home/Flume_Data_Dir
Agent1.channels.file-channel1.capacity = 100000000
Agent1.channels.file-channel1.transactionCapacity=100000
# Bind the source and sink to the channel
Agent1.sources.avro-source1.channels = file-channel1
Agent1.sinks.hdfs-sink1.channel = file-channel1
Network connectivity between both machine is 686 Mbps.
Can somebody please help me to identify whether something is wrong in the configuration or an alternate configuration so that the copying doesn't take so much of time.
Both agents use file channel. So before writing to HDFS, data has been written to disk twice. You can try to use a memory channel for each agent to see if the performance is improved.
I am using the following code to write the files in my source directory to hdfs.
# Initialize agent's source, channel and sink
agent.sources = test
agent.channels = memoryChannel
agent.sinks = flumeHDFS
# Setting the source to spool directory where the file exists
agent.sources.test.type = spooldir
agent.sources.test.spoolDir = /Data
# Setting the channel to memory
agent.channels.memoryChannel.type = memory
# Max number of events stored in the memory channel
agent.channels.memoryChannel.capacity = 10000
# agent.channels.memoryChannel.batchSize = 15000
agent.channels.memoryChannel.transactioncapacity = 1000000
# Setting the sink to HDFS
agent.sinks.flumeHDFS.type = hdfs
agent.sinks.flumeHDFS.hdfs.path = /user/team
agent.sinks.flumeHDFS.hdfs.fileType = DataStream
# Write format can be text or writable
agent.sinks.flumeHDFS.hdfs.writeFormat = Text
# use a single csv file at a time
agent.sinks.flumeHDFS.hdfs.maxOpenFiles = 1
# rollover file based on maximum size of 10 MB
agent.sinks.flumeHDFS.hdfs.rollCount=0
agent.sinks.flumeHDFS.hdfs.rollInterval=2000
agent.sinks.flumeHDFS.hdfs.rollSize = 0
agent.sinks.flumeHDFS.hdfs.batchSize =1000000
# never rollover based on the number of events
agent.sinks.flumeHDFS.hdfs.rollCount = 0
# rollover file based on max time of 1 min
#agent.sinks.flumeHDFS.hdfs.rollInterval = 0
# agent.sinks.flumeHDFS.hdfs.idleTimeout = 600
# Connect source and sink with channel
agent.sources.TwitterExampleDir.channels = memoryChannel
agent.sinks.flumeHDFS.channel = memoryChannel
But I am getting the following error
: Failed to configure component!
org.apache.flume.conf.ConfigurationException: Failed to configure
component!
at org.apache.flume.conf.source.SourceConfiguration.configure(SourceConfigurati
on.java:110)
at org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.validateSources(
FlumeConfiguration.java:566)
at org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.isValid(FlumeCon
figuration.java:345)
at org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.access$000(Flume
Configuration.java:212)
at org.apache.flume.conf.FlumeConfiguration.validateConfiguration(FlumeConfigur
ation.java:126)
at org.apache.flume.conf.FlumeConfiguration.(FlumeConfiguration.java:108)
at org.apache.flume.node.PropertiesFileConfigurationProvider.getFlumeConfigurat
ion(PropertiesFileConfigurationProvider.java:193)
at org.apache.flume.node.AbstractConfigurationProvider.getConfiguration(Abstrac
tConfigurationProvider.java:94)
at org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcher
Runnable.run(PollingPropertiesFileConfigurationProvider.java:140)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$
301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(Sch
eduledThreadPoolExecutor.java:294)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:11
42)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:6
17)
at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.flume.conf.ConfigurationException: No channels set for test
at org.apache.flume.conf.source.SourceConfiguration.configure(SourceConfigurati
on.java:68)
... 15 more
Can anyone help what should I do to put my data from the source directory /Data to hdfs directory /user/team?
Stack Trace mention:
No channels set for test
You have a specified sources as test
agent.sources = test
But while connecting it to channel
agent.sources.TwitterExampleDir.channels = memoryChannel
so you have to mention test instead of TwitterExampleDir
I am writing to hdfs using flume spool directory. Here is my code
#initialize agent's source, channel and sink
agent.sources = test
agent.channels = memoryChannel
agent.sinks = flumeHDFS
# Setting the source to spool directory where the file exists
agent.sources.test.type = spooldir
agent.sources.test.spoolDir = /johir
agent.sources.test.fileHeader = false
agent.sources.test.fileSuffix = .COMPLETED
# Setting the channel to memory
agent.channels.memoryChannel.type = memory
# Max number of events stored in the memory channel
agent.channels.memoryChannel.capacity = 10000
# agent.channels.memoryChannel.batchSize = 15000
agent.channels.memoryChannel.transactioncapacity = 1000000
# Setting the sink to HDFS
agent.sinks.flumeHDFS.type = hdfs
agent.sinks.flumeHDFS.hdfs.path =/user/root/
agent.sinks.flumeHDFS.hdfs.fileType = DataStream
# Write format can be text or writable
agent.sinks.flumeHDFS.hdfs.writeFormat = Text
# use a single csv file at a time
agent.sinks.flumeHDFS.hdfs.maxOpenFiles = 1
# rollover file based on maximum size of 10 MB
agent.sinks.flumeHDFS.hdfs.rollCount=0
agent.sinks.flumeHDFS.hdfs.rollInterval=0
agent.sinks.flumeHDFS.hdfs.rollSize = 1000000
agent.sinks.flumeHDFS.hdfs.batchSize =1000
# never rollover based on the number of events
agent.sinks.flumeHDFS.hdfs.rollCount = 0
# rollover file based on max time of 1 min
#agent.sinks.flumeHDFS.hdfs.rollInterval = 0
# agent.sinks.flumeHDFS.hdfs.idleTimeout = 600
# Connect source and sink with channel
agent.sources.test.channels = memoryChannel
agent.sinks.flumeHDFS.channel = memoryChannel
But he problem is data being written to the file is renamed to some a random tmp name. How can I rename the file in hdfs to my original file name in the source directory. For example I have the file day1.txt, day2.txt,day3.txt. Those are data for two different days. I want keep them stored in hdfs as day1.txt,day2.txt,day3.txt. But these three files are merged and stored in hdfs as FlumeData.1464629158164.tmp file. Is there any way to do this?
If you want to retain the original file name, you should attach the filename as a header to each event.
Set the basenameHeader property to true. This will create a header with the basename key unless set to something else using the basenameHeaderKey property.
Use the hdfs.filePrefix property to set the filename using basenameHeader values.
Add the below properties to your configuration file.
#source properties
agent.sources.test.basenameHeader = true
#sink properties
agent.sinks.flumeHDFS.type = hdfs
agent.sinks.flumeHDFS.hdfs.filePrefix = %{basename}
I have a Flume 1.5 agent running on a Ubuntu workstation that collects logs from various devices and re-formats the logs into a comma delimited file with very long rows. After the collection and re-reformatting of the logs they are placed into a spool directory where the Flume Agent sends the log file to a Hadoop server running a Flume agent to accept the log file and place them in a HDFS directory.
Everything works fine except that when Flume sends the file to HDFS directory there are Line Feeds after every 2048 characters in each row.
Below is my flume config files.
Is there a setting to tell flume to not insert line feeds?
#On Ubuntu Workstation
#list sources, sinks and channels in the agent
agent.sources = axon_source
agent.channels = memorychannel
agent.sinks = AvroOut
#define flow
agent.sources.axon_source.channels = memorychannel
agent.sinks.AvroOut.channel = memorychannel
agent.channels.memorychannel.type = memory
agent.channels.memorychannel.capacity = 100000
#source
agent.sources.axon_source.type = spooldir
agent.sources.axon_source.spoolDir = /home/ubuntu/workspace/logdump
agent.sources.axon_source.decodeErrorPolicy = ignore
#avro out
agent.sinks.AvroOut.type = avro
agent.sinks.AvroOut.hostname = 172.31.12.221
agent.sinks.AvroOut.port = 41415
agent.sinks.AvroOut.maxIoWorkers = 2
------------------------------------------------------------
#On Hadoop Server
agent.sources = AvroIn
agent.sources.AvroIn.type = avro
agent.sources.AvroIn.bind = 172.31.131.1
agent.sources.AvroIn.port = 41415
agent.sources.AvroIn.channels = MemChan1
agent.channels = MemChan1
agent.channels.MemChan1.type = memory
agent.channels.MemChan1.capacity = 100000
agent.sinks = HDFSSink
agent.sinks.HDFSSink.type = hdfs
agent.sinks.HDFSSink.channel = MemChan1
agent.sinks.HDFSSink.hdfs.path = /Logs/%Y%m/
agent.sinks.HDFSSink.hdfs.filePrefix = axoncapture
agent.sinks.HDFSSink.hdfs.fileSuffix = .log
agent.sinks.HDFSSink.hdfs.minBlockReplicas = 1
agent.sinks.HDFSSink.hdfs.rollCount = 0
agent.sinks.HDFSSink.hdfs.rollSize = 314572800
agent.sinks.HDFSSink.hdfs.writeFormat = Text
agent.sinks.HDFSSink.hdfs.fileType = DataStream
agent.sinks.HDFSSink.hdfs.useLocalTimeStamp = True
Found the answer to my question:
The default maxLineLength for the LINE deserializer is 2048:
http://archive.cloudera.com/cdh5/cdh/5/flume-ng/FlumeUserGuide.html#line
I added the line to my flume.conf file and fixed the problem:
agent.sources.axon_source.deserializer.maxLineLength=60000
I used flume-ng 1.5 version to collect logs.
There are two agents in the data flow and they are on two hosts, respectively.
And the data is sended from agent1 to agent2.
The agents's component is as follows:
agent1: spooling dir source --> file channel --> avro sink
agent2: avro source --> file channel --> hdfs sink
But it seems to loss data about 1/1000 percentage of million data.
To solve problem I tried these steps:
look up agents log: cannot find any error or exception.
look up agents monitor metrics: the events number that put and take from channel always equals
statistic the data number by hive query and hdfs file use shell, respectively: the two number is equal and less than the online data number
agent1's configuration:
#agent
agent1.sources = src_spooldir
agent1.channels = chan_file
agent1.sinks = sink_avro
#source
agent1.sources.src_spooldir.type = spooldir
agent1.sources.src_spooldir.spoolDir = /data/logs/flume-spooldir
agent1.sources.src_spooldir.interceptors=i1
#interceptors
agent1.sources.src_spooldir.interceptors.i1.type=regex_extractor
agent1.sources.src_spooldir.interceptors.i1.regex=(\\d{4}-\\d{2}-\\d{2}).*
agent1.sources.src_spooldir.interceptors.i1.serializers=s1
agent1.sources.src_spooldir.interceptors.i1.serializers.s1.name=dt
#sink
agent1.sinks.sink_avro.type = avro
agent1.sinks.sink_avro.hostname = 10.235.2.212
agent1.sinks.sink_avro.port = 9910
#channel
agent1.channels.chan_file.type = file
agent1.channels.chan_file.checkpointDir = /data/flume/agent1/checkpoint
agent1.channels.chan_file.dataDirs = /data/flume/agent1/data
agent1.sources.src_spooldir.channels = chan_file
agent1.sinks.sink_avro.channel = chan_file
agent2's configuration
# agent
agent2.sources = source1
agent2.channels = channel1
agent2.sinks = sink1
# source
agent2.sources.source1.type = avro
agent2.sources.source1.bind = 10.235.2.212
agent2.sources.source1.port = 9910
# sink
agent2.sinks.sink1.type= hdfs
agent2.sinks.sink1.hdfs.fileType = DataStream
agent2.sinks.sink1.hdfs.filePrefix = log
agent2.sinks.sink1.hdfs.path = hdfs://hnd.hadoop.jsh:8020/data/%{dt}
agent2.sinks.sink1.hdfs.rollInterval = 600
agent2.sinks.sink1.hdfs.rollSize = 0
agent2.sinks.sink1.hdfs.rollCount = 0
agent2.sinks.sink1.hdfs.idleTimeout = 300
agent2.sinks.sink1.hdfs.round = true
agent2.sinks.sink1.hdfs.roundValue = 10
agent2.sinks.sink1.hdfs.roundUnit = minute
# channel
agent2.channels.channel1.type = file
agent2.channels.channel1.checkpointDir = /data/flume/agent2/checkpoint
agent2.channels.channel1.dataDirs = /data/flume/agent2/data
agent2.sinks.sink1.channel = channel1
agent2.sources.source1.channels = channel1
Any suggestions are welcome!
there is a bug in file line deseriazer when encounter some specific character of utf which point is between U+10000 and U+10FFFF, they represent in utf16 by two 16-bit code unit called surrogate pairs.