I am setting up Spark on Hadoop Yarn cluster in AWS EC2 machines. This cluster will be ephemeral (For few hours within a day) and hence i want to forward the container logs generated to s3. I have seen Amazon EMR supporting this feature by forwarding logs to s3 every 5 minutes
Is there any built in configuration inside hadoop/spark that i can leverage ..?
Any other solution to solve this issue will also be helpfull.
Sounds like you're looking for YARN log aggregation.
Haven't tried changing it myself, but you can configure yarn.nodemanager.remote-app-log-dir
to point to S3 filesystem, assuming you've setup your core-site.xml accordingly
yarn.log-aggregation.retain-seconds
+ yarn.log-aggregation.retain-check-interval-seconds
will determine how often the YARN containers will ship out their logs
The alternate solution would be to build your own AMI that has Fluentd or Filebeat pointing at the local YARN log directories, then setup those log forwarders to write to a remote location. For example, Elasticsearch (or one of the AWS log solutions) would be a better choice than just S3
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