Uses a Syslog source, memory channel, and Avro sink in Apache Flume
to ingest log data.
Flume is a distributed, reliable, and available service for efficiently
collecting, aggregating, and moving large amounts of log data. It has a simple
and flexible architecture based on streaming data flows. It is robust and fault
tolerant with tunable reliability mechanisms and many failover and recovery
mechanisms. It uses a simple extensible data model that allows for online
analytic application. Learn more at flume.apache.org.
This charm provides a Flume agent designed to receive remote syslog events and
send them to the apache-flume-hdfs agent for storage into the shared
filesystem (HDFS) of a connected Hadoop cluster. Think of this charm as a
replacement for rsyslog, sending syslog events to HDFS instead of writing
them to a local filesystem.
This charm is uses the Hadoob base layer and the HDFS interface to pull its dependencies
and act as a client to a Hadoop namenode:
You may manually deploy the recommended environment as follows:
juju deploy apache-hadoop-namenode namenode
juju deploy apache-hadoop-resourcemanager resourcemgr
juju deploy apache-hadoop-slave slave
juju deploy apache-hadoop-plugin plugin
juju add-relation namenode slave
juju add-relation resourcemgr slave
juju add-relation resourcemgr namenode
juju add-relation plugin resourcemgr
juju add-relation plugin namenode
Deploy Flume hdfs:
juju deploy apache-flume-hdfs flume-hdfs
juju add-relation flume-hdfs plugin
Now that the base environment has been deployed (either via quickstart or
manually), you are ready to add the apache-flume-syslog charm and
relate it to the flume-hdfs agent:
juju deploy apache-flume-syslog flume-syslog
juju add-relation flume-syslog flume-hdfs
You are now ready to ingest remote syslog events! Note the deployment at this
stage isn't very useful. You'll need to relate this charm to any other service
that is configured to send data via the syslog interface.
As an example use case, let's ingest our hdfs-master syslog events into HDFS.
Deploy the rsyslog-forwarder-ha subordinate charm, relate it to
hdfs-master, and then link the syslog interfaces:
juju deploy rsyslog-forwarder-ha
juju add-relation rsyslog-forwarder-ha namenode
juju add-relation rsyslog-forwarder-ha flume-syslog
Any syslog data generated on the namenode unit will now be ingested into
HDFS via the flume-syslog and flume-hdfs charms. Flume may include multiple
syslog events in each file written to HDFS. This is configurable with various
options on the flume-hdfs charm. See descriptions of the roll_* options on
the apache-flume-hdfs charm store
page for more details.
Flume will write files to HDFS in the following location:
/user/flume/<event_dir>/<yyyy-mm-dd>/FlumeData.<id>. The <event_dir>
subdirectory is configurable and set to flume-syslog by default for this
To verify this charm is working as intended, trigger a syslog event on the
monitored unit (hdfs-master in our deployment scenario):
juju ssh namenode/0 'echo flume-test'
Now SSH to the flume-hdfs unit, locate an event, and cat it:
juju ssh flume-hdfs/0
hdfs dfs -ls /user/flume/<event_dir> # <-- find a date
hdfs dfs -ls /user/flume/<event_dir>/<yyyy-mm-dd> # <-- find an event
hdfs dfs -cat /user/flume/<event_dir>/<yyyy-mm-dd>/FlumeData.<id>
You should be able to find a timestamped message about SSH'ing into the
namenode unit that corresponds to the trigger you issued above. Note that
this workload isn't limited to ssh-related events. You'll get every syslog
event from the namenode unit. Happy logging!