apache flume hdfs #34

Add to new model

Description

Collect, aggregate, and move large amounts of data into HDFS.

Tags:

apache applications bigdata hadoop

Overview

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 ingest events into the shared
filesystem (HDFS) of a connected Hadoop cluster. It is meant to relate to
other Flume agents such as apache-flume-syslog and apache-flume-twitter.

Usage

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

The deployment at this stage isn't very exciting, as the flume-hdfs service
is waiting for other Flume agents to connect and send data. You'll probably
want to check out
apache-flume-syslog
or
apache-flume-twitter
to provide additional functionality for this deployment.

When flume-hdfs receives data, it is stored in a /user/flume/<event_dir>
HDFS subdirectory (configured by the connected Flume charm). You can quickly
verify the data written to HDFS using the command line. 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>

This process works well for data serialized in text format (the default).
For data serialized in avro format, you'll need to copy the file locally
and use the dfs -text command. For example, replace the dfs -cat command
from above with the following to view files stored in avro format:

hdfs dfs -copyToLocal /user/flume/<event_dir>/<yyyy-mm-dd>/FlumeData.<id> /home/ubuntu/myFile.txt
hdfs dfs -text file:///home/ubuntu/myFile.txt

Contact Information

Help

Configuration

channel_transaction_capacity
(string) The maximum number of events the channel will take from a source or give to a sink per transaction.
100
protocol
(string) Ingestion protocol for the agent source. Currently only 'avro' is supported.
avro
resources_mirror
(string) URL from which to fetch resources (e.g., Flume binaries) instead of S3
roll_count
(int) Number of events written to file before it is rolled. A value of 0 (the default) means never roll based on number of events.
roll_size
(string) File size to trigger roll, in bytes. Default will roll the file once it reaches 10 MB. A value of 0 means never roll based on file size.
10000000
source_port
(int) Port on which the agent source is listening.
4141
roll_interval
(int) Number of seconds to wait before rolling the current file. Default will roll the file after 5 minutes. A value of 0 means never roll based on a time interval.
300
sink_serializer
(string) Specify the serializer used when the sink writes to HDFS. Either 'avro_event' or 'text' are supported.
text
channel_capacity
(string) The maximum number of events stored in the channel.
1000
sink_compression
(string) Compression codec for the agent sink. An empty value will write events to HDFS uncompressed. You may specify 'snappy' here to compress written events using the snappy codec.
dfs_replication
(int) The DFS replication value. The default (3) is the same as the Namenode provided by apache-hadoop-hdfs-master, but may be overriden for this service.
3