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Flume >> mail # user >> compression over-the-wire with 1.3.1 ?


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Langston, Jim 2013-02-23, 15:17
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Brock Noland 2013-02-23, 19:31
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Re: compression over-the-wire with 1.3.1 ?
Thanks Brock,

It seems that the compression was dropped. Was that intended ? There
was a lot of work done in the .94 version. I move a tremendous amount
of data between clusters and use compression and batching.

https://issues.cloudera.org/browse/FLUME-559

looks like I will need to spend time working with both versions.

Jim

From: Brock Noland <[EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]>>
Reply-To: <[EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]>>
Date: Sat, 23 Feb 2013 13:31:40 -0600
To: "[EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]>" <[EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]>>
Subject: Re: compression over-the-wire with 1.3.1 ?

Hi,

The spool dir source does not have built in functionality to read compressed files. One could be built, but I think it would either require a subclass of https://github.com/apache/flume/blob/trunk/flume-ng-core/src/main/java/org/apache/flume/serialization/EventDeserializer.java or changes to https://github.com/apache/flume/blob/trunk/flume-ng-core/src/main/java/org/apache/flume/client/avro/ReliableSpoolingFileEventReader.java so that it recognized compressed files.

In regards to over the wire compression, there is an open review on that now:

https://reviews.apache.org/r/9427/

Brock
On Sat, Feb 23, 2013 at 9:17 AM, Langston, Jim <[EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]>> wrote:
Hi all,

A question on sending compressed files from a remote source
to HDFS.

I have been working with .94 of flume and gzip a file before sending
it from a remote location to a HDFS cluster. Works great.

Now, I'm looking to move to 1.2 or 1.3.1 (CDH4 installs 1.2 by
default through the management tool), but I don't see the
equivalent in 1.2 or 1.3.1. I found the reference to utilize the
new source in 1.3.1, spoolDir, but when I try to pick up a compressed
file in the spool directory I'm getting an error:

13/02/22 19:32:41 ERROR source.SpoolDirectorySource: Uncaught exception in Runnable
org.apache.flume.ChannelException: Unable to put batch on required channel: org.apache.flume.channel.MemoryChannel{name: c1}
at org.apache.flume.channel.ChannelProcessor.processEventBatch(ChannelProcessor.java:200)
at org.apache.flume.source.SpoolDirectorySource$SpoolDirectoryRunnable.run(SpoolDirectorySource.java:143)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask$Sync.innerRunAndReset(FutureTask.java:351)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)
Caused by: org.apache.flume.ChannelException: Space for commit to queue couldn't be acquired Sinks are likely not keeping up with sources, or the buffer size is too tight
at org.apache.flume.channel.MemoryChannel$MemoryTransaction.doCommit(MemoryChannel.java:126)
at org.apache.flume.channel.BasicTransactionSemantics.commit(BasicTransactionSemantics.java:151)
at org.apache.flume.channel.ChannelProcessor.processEventBatch(ChannelProcessor.java:192)
... 9 more
I have tried to increase the buffer size but it did not change the error. My current configuration file which
generated the error:

# Compressed Source
agent_compressed.sources = r1
agent_compressed.channels = c1
agent_compressed.channels.c1.type = memory
agent_compressed.sources.r1.type = spooldir
agent_compressed.sources.r1.bufferMaxLineLength = 50000
agent_compressed.sources.r1.spoolDir = /tmp/COMPRESS
agent_compressed.sources.r1.fileHeader = true
agent_compressed.sources.r1.channels = c1

# Sink for Avro
agent_compressed.sinks = avroSink-2
agent_compressed.sinks.avroSink-2.type = avro
agent_compressed.sinks.avroSink-2.channel = c1
agent_compressed.sinks.avroSink-2.hostname = xxx.xxx.xxx.xxx
agent_compressed.sinks.avroSink-2.port = xxxxx
Thoughts? Hints ?
Thanks,

Jim
Apache MRUnit - Unit testing MapReduce - http://incubator.apache.org/mrunit/
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Brock Noland 2013-02-25, 15:12