|latest/stable||7||7||11 Nov 2020|
|latest/edge||7||7||11 Nov 2020|
juju deploy apache-flume-hdfs
Ingest data into HDFS Read more
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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
This charm requires Juju 2.0 or greater. If Juju is not yet set up, please follow the getting-started instructions prior to deploying this charm.
This charm is intended to be deployed via one of the apache bigtop bundles. For example:
juju deploy hadoop-processing
This will deploy an Apache Bigtop Hadoop cluster. More information about this deployment can be found in the bundle readme.
Now add Flume-HDFS and relate it to the cluster via the hadoop-plugin:
juju deploy apache-flume-hdfs flume-hdfs juju add-relation flume-hdfs plugin
The deployment at this stage isn't very exciting, as the
is waiting for other Flume agents to connect and send data. You'll probably
want to check out apache-flume-syslog or apache-flume-kafka
to provide additional functionality for this deployment.
flume-hdfs receives data, it is stored in a
HDFS subdirectory (configured by the connected Flume charm). You can quickly
verify the data written to HDFS using the command line. SSH to the
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
hdfs dfs -copyToLocal /user/flume/<event_dir>/<yyyy-mm-dd>/FlumeData.<id> /home/ubuntu/myFile.txt hdfs dfs -text file:///home/ubuntu/myFile.txt
Charms can be deployed in environments with limited network access. To deploy in this environment, configure a Juju model with appropriate proxy and/or mirror options. See Configuring Models for more information.