big data architectures@ facebook · big data architectures@ facebook qcon london 2012 ashish thusoo...
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Big Data Architectures@
FacebookQCon London 2012
Ashish Thusoo
Thursday, March 8, 12
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Outline
• Big Data @ Facebook - Scope & Scale
• Evolution of Big Data Architectures @ FB
• Past, Present and Future
• Questions
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Big Data @ FB: Scale
• 25 PB of compressed data
• equivalent to 300 years of HD-TV video
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Big Data @ FB: Scale
• 150 PB of uncompressed data
• equivalent to 3 x the entire written works of mankind from the beginning of recorded history in all languages
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Big Data @ FB: Scale
• 400 TB/day (uncompressed) of new data
• That is a lot of disks
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Big Data @ FB: Scope
• Simple reporting
• Model generation
• Adhoc analysis + data science
• Index generation
• Many many others...
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A/B Testing Email #1
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A/B Testing Email #2
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A/B Testing Email #2 is 3x Better
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Friend Map
By Paul Butler - https://www.facebook.com/notes/facebook-engineering/visualizing-friendships/469716398919
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Big Data @ FB: Scope
• one new job every second
• ~ 15% of the company uses the clusters
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Evolution: 2007-2011
0
7500
15000
22500
30000
2007 2008 2009 2010 2011
15 250 800
8000
25000
DW Size in TB
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2007: Traditional EDW
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2007: Traditional EDW
Web Clusters
MySQL Clusters
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2007: Traditional EDW
Web Clusters
MySQL Clusters RDBMS Data Warehouse
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2007: Traditional EDW
Web Clusters
Scribe Mid-Tier
MySQL Clusters RDBMS Data Warehouse
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2007: Traditional EDW
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
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2007: Traditional EDW
Web Clusters
Scribe Mid-Tier
MySQL Clusters
Summarization Cluster
NAS Filers
RDBMS Data Warehouse
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2007: Pain Points
Summarization Cluster
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
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2007: Pain Points
Summarization Cluster
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
- daily ETL > 24 hours
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2007: Pain Points
Summarization Cluster
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
- daily ETL > 24 hours- Lots of tuning/indexes etc.
Thursday, March 8, 12
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2007: Pain Points
Summarization Cluster
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
- daily ETL > 24 hours- Lots of tuning/indexes etc.- Lots of hardware planning
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2007: Pain Points
Summarization Cluster
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Warehouse
- daily ETL > 24 hours- Lots of tuning/indexes etc.- Lots of hardware planning
- compute close to storage(early map/reduce)
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2007: Limitations
• Most use cases were in business metrics - data science, model building etc. not possible
• Only summary data was stored online - details archived away
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2008: Move to Hadoop
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
Summarization Cluster
RDBMS Data Warehouse
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2008: Move to Hadoop
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Mart
Hadoop/Hive Data Warehouse
Batch copier/loaders
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2008: Immediate Pros
• Data science at scale became possible
• For the first time all of the instrumented data could be held online
• Use cases expanded
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2009: Democratizing Data
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
RDBMS Data Mart
Hadoop/Hive Data Warehouse
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2009: Democratizing Data
Hadoop/Hive Data Warehouse
Databee & Chronos: Data
Pipeline Framework
HiPal: Adhoc Queries + Data
Discovery
Nectar: instrumentation &
schema aware data collection
Scrapes: Configuration
Driven
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2009: Democratizing Data(Nectar)
• Typical Nectar Pipeline
• Simple schema evolution built in
• json encoded short term data
• decomposing json for long term storage
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2009: Democratizing Data (Tools)
• HiPal - data discovery and query authoring
• Charting and dashboard generation tools
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2009: Democratizing Data (Tools)
• Databee: Workflow language
• Chronos: Scheduling tool
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2009: Cons of Democratization
• Isolation to protect against Bad Jobs
• Fair sharing of the cluster - what is a high priority job and how to enforce it
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2010: Controlling Chaos
• Isolation
• Reducing operational overhead
• Better resource utilization
• Measurement, ownership, accountability
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2010: Isolation
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
Hadoop/Hive Data Warehouse
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2010: Isolation
Web Clusters
Scribe Mid-Tier
MySQL Clusters
NAS Filers
Platinum Warehouse
Silver Warehouse
Hive Replication
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2010: Ops Efficiency
Web Clusters Scribe HDFS
MySQL Clusters
Platinum Warehouse
Silver Warehouse
Hive Replication
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2010: Ops Efficiency
Web Clusters Scribe HDFS
MySQL Clusters
Platinum Warehouse
Silver Warehouse
Hive Replication
near real time data consumers
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2010: Ops Efficiency
Web Clusters Scribe HDFS
MySQL Clusters
Platinum Warehouse
Silver Warehouse
Hive Replication
ptail: parallel tail
on hdfs
near real time data consumers
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2010: Resource Utilization (Disk)
• HDFS-RAID: from 3 replicas to 2.2 replicas
• RCFile: Row columnar format for compressing Hive tables
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2010: Resource Utilization (CPU)
• Continuous copier/loaders
• Incremental scrapes
• Hive optimizations to save CPU
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2010: Monitoring(SLAs)
• Per job statistics rolled up to owner/group/team
• Expected time of arrival vs Actual time of arrival of data
• Simple data quality metrics
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2011: New Requirements
• More real time requirements for aggregations
• Optimizing resource utilization
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2011: Beyond Hadoop
• Puma for real time analytics
• Peregrine for simple and fast queries
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2010: Puma
Web Clusters Scribe HDFS
MySQL Clusters
Platinum Warehouse
Silver Warehouse
Hive Replication
ptail: parallel tail
on hdfs
near real time data consumers
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2010: Puma
Web Clusters Scribe HDFS
MySQL Clusters
Platinum Warehouse
Silver Warehouse
Hive Replication
ptail: parallel tail
on hdfs
near real time data consumers
Thursday, March 8, 12
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2010: Puma
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2010: Puma
Scribe HDFS
ptail: parallel tail on hdfs
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2010: Puma
Scribe HDFS
ptail: parallel tail on hdfs
Puma Clusters
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2010: Puma
Scribe HDFS
ptail: parallel tail on hdfs
Puma Clusters Hbase Cluster
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Other Challenges Of HyperGrowth
• Moving data centers
• Moving sustainably fast
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HyperGrowth - Moving Data Centers
0
7500
15000
22500
30000
2007 2008 2009 2010 2011
15 250 800
8000
25000
DW Size in TB
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HyperGrowth - Moving Data Centers
• Moved 20 PB of data
• Leverage replication with fast switch
• 2-3 months to accomplish the entire move
Blog Post on FB by Paul Yang: http://www.facebook.com/notes/paul-yang/moving-an-elephant-large-scale-hadoop-data-migration-at-facebook/10150246275318920
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Questions
Contact Information:
http://www.linkedin.com/pub/ashish-thusoo/0/5a8/50https://www.facebook.com/athusoo
https://twitter.com/ashishthusoo
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