As promised in my post about installing Scribe for log collection, I’m going to cover how to configure and use Scribe for the purpose of collecting Hadoop logs. In this post I’ll describe how to create the Scribe Thrift client for use in Java, add a new log4j Appender to Hadoop, configure Scribe, and collect logs from each node in a Hadoop cluster. At the end of the post, I will link to all source and configuration files mentioned in this guide.
Scribe is a newly released log collection tool that dumps log files from various nodes in a cluster to Scribe servers, where the logs are stored for further use. Facebook describes their usage of Scribe by saying, “[Scribe] runs on thousands of machines and reliably delivers tens of billions of messages a day.” It turns out that Scribe is rather difficult to install, so the hope of this post is to help those of you attempting to install Scribe.
Apache Hadoop exists within a rich ecosystem of tools for processing and analyzing large data sets. At Facebook, my previous employer, we contributed a few projects of note to this ecosystem, all under the Apache 2.0 license:
- Thrift: A cross-language RPC framework that powers many of Facebook’s services, include search, ads, and chat. Among other things, Thrift defines a compact binary serialization format that is often used to persist data structures for later analysis.
We’ve created this blog as a place to post tips, tricks and insights on using Hadoop and related projects for the next generation of data storage and analysis. Of course, we’re also active on the Hadoop mailing lists and other public forums, but we wanted a place where we could capture some of the lessons we learn as we work with the community and our customers.
Except for this inaugural post,