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Hw09 Cross Data Center Logs Processing

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Cloudera, Inc.
Cloudera, Inc.

This document summarizes Rackspace's use of Hadoop to process and query logs from multiple datacenters. Key points: - Rackspace needed to query logs from mail/app servers to answer support and analytics questions. Previous solutions using single databases could not scale across datacenters. - Hadoop allowed ingesting raw logs, building Lucene indexes for querying, and storing data across multiple datacenters. Real-time queries used Solr, batch queries used MapReduce. - Implementation collected logs into Hadoop, used SolrOutputFormat to generate indexes, and queried via distributed Solr and MapReduce. This provided scalable storage, analysis, and querying across datacenters.

Technology
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Rackspace Hosting Hadoop World 2009 Stu Hood – Search Team Technical Lead Date: October 2, 2009 Cross Datacenter Logs Processing
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use Case: Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use Case: Log Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use Case: Querying ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Previous Solutions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Hadoop Solution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Hadoop Solution: Alternatives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation: Collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation: Indexing/Querying ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation: Example
Implementation: Timeframe ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages: Storage ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages: Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pig Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages: Scalability, Cost, Community ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Fin! Questions?

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Hw09 Cross Data Center Logs Processing

Editor's Notes

  1. All storage in Hadoop: no filers or SANs