Lichen 2012-11-23, 09:29
Alexander Alten-Lorenz 2012-11-23, 10:33
Lichen 2012-11-24, 09:33
-Re: Max Event Size
Alexander Alten-Lorenz 2012-11-26, 07:41
The eventsize vs. capacity slot size is defined in "flume-ng-core/src/main/java/org/apache/flume/channel/MemoryChannel.java" via:
int eventByteSize = (int)Math.ceil(estimateEventSize(event)/byteCapacitySlotSize);
and will later throw out a error:
throw new ChannelException("Put queue for MemoryTransaction of capacity " +
putList.size() + " full, consider committing more frequently, " +
"increasing capacity or increasing thread count");
Can you use FileChannel instead of MemoryChannel, just for testing?
On Nov 24, 2012, at 10:33 AM, Lichen <[EMAIL PROTECTED]> wrote:
> Hi Alex,
> I don't see any errors/warning with DEBUG.
> Here is the problem: if I tried to read a line larger than 2.5 MB and send via memory channel, the sink lost it and won't receive anything afterwards.
> Here is the configuration I tried:
> Source: exec. I tried both cat/tail command, and a Java program to read lines from file and print to stdout.
> Channel: memory channel and file channel. I think capacity of memory channel is about the size of the queue of events, which won't affect the max size of an event.
> Sink: both HDFS and Fill-Roll. They are able to receive short events before large events come.
> Can you suggest what to configure? I'm using Flume 1.2.
> On Nov 23, 2012, at 6:34 PM, Alexander Alten-Lorenz <[EMAIL PROTECTED]> wrote:
> This depends on your memory configuration. When you start flume with DEBUG did you got some errors / warning?
> P.S. http://flume.apache.org/FlumeUserGuide.html#exec-source
> On Nov 23, 2012, at 10:29 AM, Lichen <[EMAIL PROTECTED]> wrote:
>> Hi all,
>> I tried to use exec source to tail a file of which each line is few MB. The File-Roll/HDFS sinks received nothing in this case, while work fine with other short lines. Is it because of the maximum size of a single event? What parameter to set if it's configurable.
> Alexander Alten-Lorenz
> German Hadoop LinkedIn Group: http://goo.gl/N8pCF
German Hadoop LinkedIn Group: http://goo.gl/N8pCF