Home | About | Sematext search-lucene.com search-hadoop.com
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB
 Search Hadoop and all its subprojects:

Switch to Threaded View
Flume >> mail # user >> Avro sink to source is too slow


Copy link to this message
-
Re: Avro sink to source is too slow
What kind of disk configuration on your file channel?  With a single disk configuration (Dell Blade server) performance was awful.  I believe what Flume needs at a minimum is a separate disk for the check point and data directories.  When I switched to a SSD or a 13 disk raid setup my problems went away with one exception.   Compression was still very slow.  I ended up distributing my flow over several file channels to get good throughput with compression.

-Mike
On 09/30/2013 11:11 AM, Anat Rozenzon wrote:
Hi

I'm trying to read 100MB of files using directory spooler, file channel and 4 avro sinks into an avro source running on another flume process.
Both flume processes are running on same machine just for eliminating network issues.

However it takes more than 5 minutes to read & pass the 100MB data, this is too slow for our needs.

After about 1 minute the files are read into the file channel and then quite a long time where the file channel is draining really slowly with the four sinks.

Copying the same data using scp from a remote machine takes 7 seconds.

Below is my config, anything I can do to improve this?

agent.sources = logsdir
agent.sources.logsdir.type = spooldir
agent.sources.logsdir.channels = fileChannel
agent.sources.logsdir.spoolDir = %%WORK_DIR%%
agent.sources.logsdir.fileHeader = true
agent.sources.logsdir.batchSize=1000
agent.sources.logsdir.deletePolicy=immediate
agent.sources.logsdir.interceptors =  ihost iserver_type iserver_id
agent.sources.logsdir.interceptors.ihost.type = host
agent.sources.logsdir.interceptors.ihost.useIP = false
agent.sources.logsdir.interceptors.ihost.hostHeader = server_hostname

agent.sources.logsdir.interceptors.iserver_type.type = static
agent.sources.logsdir.interceptors.iserver_type.key = server_type
agent.sources.logsdir.interceptors.iserver_type.value = %%SERVER_TYPE%%
agent.sources.logsdir.interceptors.iserver_id.type = static
agent.sources.logsdir.interceptors.iserver_id.key = server_id
agent.sources.logsdir.interceptors.iserver_id.value = %%SERVER_ID%%

agent.sources.logsdir.deserializer.maxLineLength = 10240
agent.channels = fileChannel
agent.channels.fileChannel.type = file
agent.channels.fileChannel.checkpointDir=%%WORK_DIR%%/flume/filechannel/checkpoint
agent.channels.fileChannel.dataDirs=%%WORK_DIR%%/flume/filechannel/data
agent.channels.fileChannel.capacity=2000000
agent.channels.fileChannel.transactionCapacity=1000
agent.channels.fileChannel.use-fast-replay=true
agent.channels.fileChannel.useDualCheckpoints=true
agent.channels.fileChannel.backupCheckpointDir=%%WORK_DIR%%/flume/filechannel/backupCheckpointDir
agent.channels.fileChannel.minimumRequiredSpace=1073741824
agent.channels.fileChannel.maxFileSize=524288000

## Send to  multiple Collectors for load balancing
agent.sinks = AvroSink1-1 AvroSink1-2 AvroSink1-3 AvroSink1-4

agent.sinks.AvroSink1-1.type = avro
agent.sinks.AvroSink1-1.channel = fileChannel
agent.sinks.AvroSink1-1.hostname = %%COLLECTOR1_SERVER%%
agent.sinks.AvroSink1-1.port = 4545%%COLLECTOR1_SLOT%%
agent.sinks.AvroSink1-1.connect-timeout = 60000
agent.sinks.AvroSink1-1.request-timeout = 60000
agent.sinks.AvroSink1-1.batch-size = 1000
agent.sinks.AvroSink1-1.compression-type=deflate
agent.sinks.AvroSink1-1.compression-level=9

agent.sinks.AvroSink1-2.type = avro
agent.sinks.AvroSink1-2.channel = fileChannel
agent.sinks.AvroSink1-2.hostname = %%COLLECTOR1_SERVER%%
agent.sinks.AvroSink1-2.port = 4545%%COLLECTOR1_SLOT%%
agent.sinks.AvroSink1-2.connect-timeout = 60000
agent.sinks.AvroSink1-2.request-timeout = 60000
agent.sinks.AvroSink1-2.batch-size = 1000
agent.sinks.AvroSink1-2.compression-type=deflate
agent.sinks.AvroSink1-2.compression-level=9

agent.sinks.AvroSink1-3.type = avro
agent.sinks.AvroSink1-3.channel = fileChannel
agent.sinks.AvroSink1-3.hostname = %%COLLECTOR1_SERVER%%
agent.sinks.AvroSink1-3.port = 4545%%COLLECTOR1_SLOT%%
agent.sinks.AvroSink1-3.connect-timeout = 60000
agent.sinks.AvroSink1-3.request-timeout = 60000
agent.sinks.AvroSink1-3.batch-size = 1000
agent.sinks.AvroSink1-3.compression-type=deflate
agent.sinks.AvroSink1-3.compression-level=9

agent.sinks.AvroSink1-4.type = avro
agent.sinks.AvroSink1-4.channel = fileChannel
agent.sinks.AvroSink1-4.hostname = %%COLLECTOR1_SERVER%%
agent.sinks.AvroSink1-4.port = 4545%%COLLECTOR1_SLOT%%
agent.sinks.AvroSink1-4.connect-timeout = 60000
agent.sinks.AvroSink1-4.request-timeout = 60000
agent.sinks.AvroSink1-4.batch-size = 1000
agent.sinks.AvroSink1-4.compression-type=deflate
agent.sinks.AvroSink1-4.compression-level=9

Thanks
Anat

This email and any files included with it may contain privileged,
proprietary and/or confidential information that is for the sole use
of the intended recipient(s).  Any disclosure, copying, distribution,
posting, or use of the information contained in or attached to this
email is prohibited unless permitted by the sender.  If you have
received this email in error, please immediately notify the sender
via return email, telephone, or fax and destroy this original transmission
and its included files without reading or saving it in any manner.
Thank you.
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB