SlideShare a Scribd company logo
1 of 30
Download to read offline
Grid Operations



          Hadoop Operations at LinkedIn
          Allen Wittenauer
          Grid Computing Architect


         ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
“Hadoop is not a developer problem;
                                   it’s an operations problem.”
                                -- Hadoop vendor ex-employee




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
§ August 2009
               – 20 Nodes in 1 grid
               – Apache Hadoop 0.20.0
               – No configuration management
               – No monitoring
               – No security
               – Free for all, including random mafia hits on running jobs
               – FIFO Scheduling
               – ~20 users
               – 20 tasks per node
               – Solaris

               – No operational support




          ©2013 LinkedIn Corporation. All Rights Reserved.                   GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
How We Fixed This
                                                    (In Chronological Order)




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
Year One




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
§ Dropped task count
               – 10 mappers => 7 mappers
               – 10 reducers => 5 reducers


           § Reworked ETL
               – hourlies => dailies
               – Re-ordered to take advantage of compression
                  § 10x storage improvement
               – Sample impact on one job (not workflow!):
                  § 80,000 map tasks => 2,000 map tasks
                  § Run time cut in half


           § Optimize work flows/culture shift
                  § More task time, less tasks
                  § Production review to reinforce good behavio(u)r



          ©2013 LinkedIn Corporation. All Rights Reserved.             GRID OPERATIONS

Wednesday, March 20, 13
§ Switched to Capacity Scheduler                 5% ETL Tasks
               – FIFO is terrible                       15% Fast Queue:
               – Fair Share only viable for small tasks - Task Time < 15 Minutes
                                                        - Job Time < 1 Hour
               – Enforced SLAs via custom patch
                                                        - Slot stealing from "Slow" Queue

           § Submitted Jar Size Limit
                                                             80% Slow Queue:
               – Encourage distributed cache usage           - Job Time < 24 Hours
               – Enforced limit via custom patch             - Up to 80% of slots




          ©2013 LinkedIn Corporation. All Rights Reserved.                              GRID OPERATIONS

Wednesday, March 20, 13
§ Benchmarking
              – Use production code not TeraSort!

                             Old Node:                       New Node:
                             - 2 Rack Units                  - 1 Rack Unit
                             - 2 CPUs                        - 2 CPUs
                             - 16 GB                         - 24 or 32 GB
                             - 8 x 1 TB SATA                 - 6 x 2 TB SATA
                             - 1 x 2 gb NIC                  - 1 x 1 gb NIC



           § Cut cost per unit in half
           § 2x nodes per rack
           § Extra RAM
              – buffering
              – bus speed


          ©2013 LinkedIn Corporation. All Rights Reserved.                     GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
Year Two




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
§ DataNode disk partitioning
               – Separate file systems for different purposes

                                                   20 GB        200 GB
                                                                                HDFS
                                                    /, ...        MR

                                                                         ...

                                              5GB            200 GB
                                                                               HDFS
                                              Swap             MR


               – Mount options: noatime, commit=30, data=writeback


           § NN, JT, etc
               – No “special hardware” == use SW RAID




          ©2013 LinkedIn Corporation. All Rights Reserved.                             GRID OPERATIONS

Wednesday, March 20, 13
LDAP Master              Multi
                                                                                   LDAP Master
                                                  +                   Master           +
                                                                     Replication
                                              KDC Master                              KDC



                                              LDAP/KDC                             LDAP/KDC
                                                Slaves                               Slaves


                                                   username, uid                      username, uid
                                                  group name, gid                    group name, gid
                                                 netgroup, sudoers                  netgroup, sudoers



                                                         nscd                             nscd

                                                 Client Node                        Client Node



          ©2013 LinkedIn Corporation. All Rights Reserved.                                              GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
Host                                      bcfg2 Server
                                                             Group1,
                                                             Group2,
                                                                ...              Group1 -> Svc1, Svc2, ...
                                            bcfg2
                                                                                 Group2 -> Svc1, Svc3, ...
                                            client                     Svc1+
                                                                                 Group3 -> Svc4, Svc5, ...
                                                                       Svc2+
                                                                        Svc3
                                                                       Content




           § Service Bundle
               – RPMs, config files, etc
               – Conflict resolution




          ©2013 LinkedIn Corporation. All Rights Reserved.                                                   GRID OPERATIONS

Wednesday, March 20, 13
§ Different RPM names + different install locations = pre-deploy-ability:



                   Object                                    RPM Name                    File Path

                   Hadoop 1.0.4-p3 Binaries                  hadoop-1043-bin-1.0.4-3     /dir/hadoop-1.0.4-p3

                   Grid Config for 1.0.4-p3                  gridname-1043-              /dir/grid-conf-1.0.4-p3
                                                             hadoopconf-1.0.4.3-1
                   Hadoop 1.1.2-p1 Binaries                  hadoop-1121-bin-1.1.2.1-1   /dir/hadoop-1.1.2-p1

                   Grid Config for 1.1.2-p1                  gridname-1043-              /dir/grid-conf-1.1.2-p1
                                                             hadoopconf-1.0.4.3-1




          ©2013 LinkedIn Corporation. All Rights Reserved.                                                         GRID OPERATIONS

Wednesday, March 20, 13
Year Three+




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
Corp IT
                                                                                       Grid Realm
                               Active Directory                   krbtgt/GRID@CORP
                                                                                        @GRID
                                  @CORP



                                        Password
                                                                                      krbtgt/host@GRID
                                                                                     krbtgt/service@GRID




                                                              krbtgt/user@CORP           Hadoop
                                                             krbtgt/GRID@CORP
                                                                                         Services




          ©2013 LinkedIn Corporation. All Rights Reserved.                                                 GRID OPERATIONS

Wednesday, March 20, 13
Many months moving to secure Apache Hadoop...




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
§ March 2013
               – 5000 Nodes in ~10 grids
               – Apache Hadoop 1.0.4 + custom patches
               – Full configuration management
               – Full monitoring
               – Security
               – Capacity scheduler with SLA
               – ~700 users
               – 12 tasks per node
               – Linux

               – Five dedicated operations staff members




          ©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   GRID OPERATIONS

Wednesday, March 20, 13
Future Work




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
Is ‘pure Hadoop’ the right
                                             tool for all of our workloads?




          ©2013 LinkedIn Corporation. All Rights Reserved.


Wednesday, March 20, 13
YARN   PBS


                                                       H
                                                       D
                                                       F
                                                       S

                                                       C
                                                       E
                                                       P
                                                       H




          ©2013 LinkedIn Corporation. All Rights Reserved.                GRID OPERATIONS

Wednesday, March 20, 13
©2013 LinkedIn Corporation. All Rights Reserved.   BUSINESS OPERATIONS

Wednesday, March 20, 13
§ More on LinkedIn Hadoop Performance:
               – http://www.slideshare.net/allenwittenauer/2012-lihadoopperf


           § LinkedIn Data Analytics:
               – http://data.linkedin.com/




          ©2013 LinkedIn Corporation. All Rights Reserved.                     GRID OPERATIONS

Wednesday, March 20, 13

More Related Content

What's hot

Introduction to hadoop administration jk
Introduction to hadoop administration   jkIntroduction to hadoop administration   jk
Introduction to hadoop administration jkEdureka!
 
Big Data Performance and Capacity Management
Big Data Performance and Capacity ManagementBig Data Performance and Capacity Management
Big Data Performance and Capacity Managementrightsize
 
Hadoop cluster configuration
Hadoop cluster configurationHadoop cluster configuration
Hadoop cluster configurationprabakaranbrick
 
How to Increase Performance of Your Hadoop Cluster
How to Increase Performance of Your Hadoop ClusterHow to Increase Performance of Your Hadoop Cluster
How to Increase Performance of Your Hadoop ClusterAltoros
 
02.28.13 WANdisco ApacheCon 2013
02.28.13 WANdisco ApacheCon 201302.28.13 WANdisco ApacheCon 2013
02.28.13 WANdisco ApacheCon 2013WANdisco Plc
 
Hadoop Operations at LinkedIn
Hadoop Operations at LinkedInHadoop Operations at LinkedIn
Hadoop Operations at LinkedInDataWorks Summit
 
Improving Hadoop Cluster Performance via Linux Configuration
Improving Hadoop Cluster Performance via Linux ConfigurationImproving Hadoop Cluster Performance via Linux Configuration
Improving Hadoop Cluster Performance via Linux ConfigurationDataWorks Summit
 
Hadoop - Disk Fail In Place (DFIP)
Hadoop - Disk Fail In Place (DFIP)Hadoop - Disk Fail In Place (DFIP)
Hadoop - Disk Fail In Place (DFIP)mundlapudi
 
Advanced Hadoop Tuning and Optimization - Hadoop Consulting
Advanced Hadoop Tuning and Optimization - Hadoop ConsultingAdvanced Hadoop Tuning and Optimization - Hadoop Consulting
Advanced Hadoop Tuning and Optimization - Hadoop ConsultingImpetus Technologies
 
Hadoop on Azure, Blue elephants
Hadoop on Azure,  Blue elephantsHadoop on Azure,  Blue elephants
Hadoop on Azure, Blue elephantsOvidiu Dimulescu
 
Hadoop 101
Hadoop 101Hadoop 101
Hadoop 101EMC
 
Hw09 Monitoring Best Practices
Hw09   Monitoring Best PracticesHw09   Monitoring Best Practices
Hw09 Monitoring Best PracticesCloudera, Inc.
 
2013 feb 20_thug_h_catalog
2013 feb 20_thug_h_catalog2013 feb 20_thug_h_catalog
2013 feb 20_thug_h_catalogAdam Muise
 
Hadoop online training
Hadoop online training Hadoop online training
Hadoop online training Keylabs
 
Hello OpenStack, Meet Hadoop
Hello OpenStack, Meet HadoopHello OpenStack, Meet Hadoop
Hello OpenStack, Meet HadoopDataWorks Summit
 

What's hot (20)

Introduction to hadoop administration jk
Introduction to hadoop administration   jkIntroduction to hadoop administration   jk
Introduction to hadoop administration jk
 
Hadoop Ecosystem Overview
Hadoop Ecosystem OverviewHadoop Ecosystem Overview
Hadoop Ecosystem Overview
 
Big Data Performance and Capacity Management
Big Data Performance and Capacity ManagementBig Data Performance and Capacity Management
Big Data Performance and Capacity Management
 
Hadoop cluster configuration
Hadoop cluster configurationHadoop cluster configuration
Hadoop cluster configuration
 
How to Increase Performance of Your Hadoop Cluster
How to Increase Performance of Your Hadoop ClusterHow to Increase Performance of Your Hadoop Cluster
How to Increase Performance of Your Hadoop Cluster
 
02.28.13 WANdisco ApacheCon 2013
02.28.13 WANdisco ApacheCon 201302.28.13 WANdisco ApacheCon 2013
02.28.13 WANdisco ApacheCon 2013
 
Hadoop Operations at LinkedIn
Hadoop Operations at LinkedInHadoop Operations at LinkedIn
Hadoop Operations at LinkedIn
 
Improving Hadoop Cluster Performance via Linux Configuration
Improving Hadoop Cluster Performance via Linux ConfigurationImproving Hadoop Cluster Performance via Linux Configuration
Improving Hadoop Cluster Performance via Linux Configuration
 
Introduction to Apache Drill
Introduction to Apache DrillIntroduction to Apache Drill
Introduction to Apache Drill
 
Hadoop - Disk Fail In Place (DFIP)
Hadoop - Disk Fail In Place (DFIP)Hadoop - Disk Fail In Place (DFIP)
Hadoop - Disk Fail In Place (DFIP)
 
Advanced Hadoop Tuning and Optimization - Hadoop Consulting
Advanced Hadoop Tuning and Optimization - Hadoop ConsultingAdvanced Hadoop Tuning and Optimization - Hadoop Consulting
Advanced Hadoop Tuning and Optimization - Hadoop Consulting
 
Hadoop - Introduction to Hadoop
Hadoop - Introduction to HadoopHadoop - Introduction to Hadoop
Hadoop - Introduction to Hadoop
 
Hadoop on Azure, Blue elephants
Hadoop on Azure,  Blue elephantsHadoop on Azure,  Blue elephants
Hadoop on Azure, Blue elephants
 
Hadoop 101
Hadoop 101Hadoop 101
Hadoop 101
 
Hadoop and OpenStack
Hadoop and OpenStackHadoop and OpenStack
Hadoop and OpenStack
 
Hw09 Monitoring Best Practices
Hw09   Monitoring Best PracticesHw09   Monitoring Best Practices
Hw09 Monitoring Best Practices
 
2013 feb 20_thug_h_catalog
2013 feb 20_thug_h_catalog2013 feb 20_thug_h_catalog
2013 feb 20_thug_h_catalog
 
Hadoop online training
Hadoop online training Hadoop online training
Hadoop online training
 
Hello OpenStack, Meet Hadoop
Hello OpenStack, Meet HadoopHello OpenStack, Meet Hadoop
Hello OpenStack, Meet Hadoop
 
Hadoop 1.x vs 2
Hadoop 1.x vs 2Hadoop 1.x vs 2
Hadoop 1.x vs 2
 

Similar to Hadoop Operations at LinkedIn

Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...
Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...
Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...Sematext Group, Inc.
 
Open Source Data Deduplication
Open Source Data DeduplicationOpen Source Data Deduplication
Open Source Data DeduplicationRedWireServices
 
Big Data and Hadoop in Cloud - Leveraging Amazon EMR
Big Data and Hadoop in Cloud - Leveraging Amazon EMRBig Data and Hadoop in Cloud - Leveraging Amazon EMR
Big Data and Hadoop in Cloud - Leveraging Amazon EMRVijay Rayapati
 
오라클 DR 및 복제 솔루션(Dbvisit 소개)
오라클 DR 및 복제 솔루션(Dbvisit 소개)오라클 DR 및 복제 솔루션(Dbvisit 소개)
오라클 DR 및 복제 솔루션(Dbvisit 소개)Linux Foundation Korea
 
Deep dive into Ruby's require - RubyConf Taiwan 2023
Deep dive into Ruby's require - RubyConf Taiwan 2023Deep dive into Ruby's require - RubyConf Taiwan 2023
Deep dive into Ruby's require - RubyConf Taiwan 2023Hiroshi SHIBATA
 
Five Lessons in Distributed Databases
Five Lessons  in Distributed DatabasesFive Lessons  in Distributed Databases
Five Lessons in Distributed Databasesjbellis
 
Front end performance improvements
Front end performance improvementsFront end performance improvements
Front end performance improvementsMatthew Farina
 
High Availability != High-cost
High Availability != High-costHigh Availability != High-cost
High Availability != High-costnormanmaurer
 
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagramferreroroche11
 
Scaling Instagram
Scaling InstagramScaling Instagram
Scaling Instagramiammutex
 
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...Big Data Montreal
 
Get to know the browser better and write faster web apps
Get to know the browser better   and write faster web appsGet to know the browser better   and write faster web apps
Get to know the browser better and write faster web appsLior Bar-On
 
Cacheconcurrencyconsistency cassandra svcc
Cacheconcurrencyconsistency cassandra svccCacheconcurrencyconsistency cassandra svcc
Cacheconcurrencyconsistency cassandra svccsrisatish ambati
 
High Availability With DRBD & Heartbeat
High Availability With DRBD & HeartbeatHigh Availability With DRBD & Heartbeat
High Availability With DRBD & HeartbeatChris Barber
 
Hong Qiangning in QConBeijing
Hong Qiangning in QConBeijingHong Qiangning in QConBeijing
Hong Qiangning in QConBeijingshen liu
 
Lustre+ZFS:Reliable/Scalable Storage
Lustre+ZFS:Reliable/Scalable StorageLustre+ZFS:Reliable/Scalable Storage
Lustre+ZFS:Reliable/Scalable StorageElizabeth Ciabattari
 
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power Tools
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power ToolsSaltConf14 - Thomas Jackson, LinkedIn - Safety with Power Tools
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power ToolsSaltStack
 
Kafka at half the price with JBOD setup
Kafka at half the price with JBOD setupKafka at half the price with JBOD setup
Kafka at half the price with JBOD setupDong Lin
 

Similar to Hadoop Operations at LinkedIn (20)

Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...
Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...
Large Scale Performance Monitoring for ElasticSearch, HBase, Solr, SenseiDB, ...
 
Open Source Data Deduplication
Open Source Data DeduplicationOpen Source Data Deduplication
Open Source Data Deduplication
 
Big Data and Hadoop in Cloud - Leveraging Amazon EMR
Big Data and Hadoop in Cloud - Leveraging Amazon EMRBig Data and Hadoop in Cloud - Leveraging Amazon EMR
Big Data and Hadoop in Cloud - Leveraging Amazon EMR
 
Big data nyu
Big data nyuBig data nyu
Big data nyu
 
오라클 DR 및 복제 솔루션(Dbvisit 소개)
오라클 DR 및 복제 솔루션(Dbvisit 소개)오라클 DR 및 복제 솔루션(Dbvisit 소개)
오라클 DR 및 복제 솔루션(Dbvisit 소개)
 
Deep dive into Ruby's require - RubyConf Taiwan 2023
Deep dive into Ruby's require - RubyConf Taiwan 2023Deep dive into Ruby's require - RubyConf Taiwan 2023
Deep dive into Ruby's require - RubyConf Taiwan 2023
 
Five Lessons in Distributed Databases
Five Lessons  in Distributed DatabasesFive Lessons  in Distributed Databases
Five Lessons in Distributed Databases
 
Front end performance improvements
Front end performance improvementsFront end performance improvements
Front end performance improvements
 
High Availability != High-cost
High Availability != High-costHigh Availability != High-cost
High Availability != High-cost
 
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram
89025069 mike-krieger-instagram-at-the-airbnb-tech-talk-on-scaling-instagram
 
Scaling Instagram
Scaling InstagramScaling Instagram
Scaling Instagram
 
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...
 
Get to know the browser better and write faster web apps
Get to know the browser better   and write faster web appsGet to know the browser better   and write faster web apps
Get to know the browser better and write faster web apps
 
Cacheconcurrencyconsistency cassandra svcc
Cacheconcurrencyconsistency cassandra svccCacheconcurrencyconsistency cassandra svcc
Cacheconcurrencyconsistency cassandra svcc
 
High Availability With DRBD & Heartbeat
High Availability With DRBD & HeartbeatHigh Availability With DRBD & Heartbeat
High Availability With DRBD & Heartbeat
 
Hadoop at Rakuten, 2011/07/06
Hadoop at Rakuten, 2011/07/06Hadoop at Rakuten, 2011/07/06
Hadoop at Rakuten, 2011/07/06
 
Hong Qiangning in QConBeijing
Hong Qiangning in QConBeijingHong Qiangning in QConBeijing
Hong Qiangning in QConBeijing
 
Lustre+ZFS:Reliable/Scalable Storage
Lustre+ZFS:Reliable/Scalable StorageLustre+ZFS:Reliable/Scalable Storage
Lustre+ZFS:Reliable/Scalable Storage
 
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power Tools
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power ToolsSaltConf14 - Thomas Jackson, LinkedIn - Safety with Power Tools
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power Tools
 
Kafka at half the price with JBOD setup
Kafka at half the price with JBOD setupKafka at half the price with JBOD setup
Kafka at half the price with JBOD setup
 

More from Allen Wittenauer

2019-09-10: Testing Contributions at Scale
2019-09-10: Testing Contributions at Scale2019-09-10: Testing Contributions at Scale
2019-09-10: Testing Contributions at ScaleAllen Wittenauer
 
2018-08-23 Apache Yetus: Precommit
2018-08-23 Apache Yetus: Precommit2018-08-23 Apache Yetus: Precommit
2018-08-23 Apache Yetus: PrecommitAllen Wittenauer
 
Apache Yetus: Intro to Precommit for HBase Contributors
Apache Yetus: Intro to Precommit for HBase ContributorsApache Yetus: Intro to Precommit for HBase Contributors
Apache Yetus: Intro to Precommit for HBase ContributorsAllen Wittenauer
 
Apache Yetus: Helping Solve the Last Mile Problem
Apache Yetus: Helping Solve the Last Mile ProblemApache Yetus: Helping Solve the Last Mile Problem
Apache Yetus: Helping Solve the Last Mile ProblemAllen Wittenauer
 
Apache Hadoop Shell Rewrite
Apache Hadoop Shell RewriteApache Hadoop Shell Rewrite
Apache Hadoop Shell RewriteAllen Wittenauer
 
Let's Talk Operations! (Hadoop Summit 2014)
Let's Talk Operations! (Hadoop Summit 2014)Let's Talk Operations! (Hadoop Summit 2014)
Let's Talk Operations! (Hadoop Summit 2014)Allen Wittenauer
 
Apache Hadoop for System Administrators
Apache Hadoop for System AdministratorsApache Hadoop for System Administrators
Apache Hadoop for System AdministratorsAllen Wittenauer
 
Deploying Grid Services Using Apache Hadoop
Deploying Grid Services Using Apache HadoopDeploying Grid Services Using Apache Hadoop
Deploying Grid Services Using Apache HadoopAllen Wittenauer
 

More from Allen Wittenauer (9)

2019-09-10: Testing Contributions at Scale
2019-09-10: Testing Contributions at Scale2019-09-10: Testing Contributions at Scale
2019-09-10: Testing Contributions at Scale
 
2018-08-23 Apache Yetus: Precommit
2018-08-23 Apache Yetus: Precommit2018-08-23 Apache Yetus: Precommit
2018-08-23 Apache Yetus: Precommit
 
Apache Yetus: Intro to Precommit for HBase Contributors
Apache Yetus: Intro to Precommit for HBase ContributorsApache Yetus: Intro to Precommit for HBase Contributors
Apache Yetus: Intro to Precommit for HBase Contributors
 
Apache Yetus: Helping Solve the Last Mile Problem
Apache Yetus: Helping Solve the Last Mile ProblemApache Yetus: Helping Solve the Last Mile Problem
Apache Yetus: Helping Solve the Last Mile Problem
 
Apache Hadoop Shell Rewrite
Apache Hadoop Shell RewriteApache Hadoop Shell Rewrite
Apache Hadoop Shell Rewrite
 
Let's Talk Operations! (Hadoop Summit 2014)
Let's Talk Operations! (Hadoop Summit 2014)Let's Talk Operations! (Hadoop Summit 2014)
Let's Talk Operations! (Hadoop Summit 2014)
 
Apache Hadoop for System Administrators
Apache Hadoop for System AdministratorsApache Hadoop for System Administrators
Apache Hadoop for System Administrators
 
Deploying Grid Services Using Apache Hadoop
Deploying Grid Services Using Apache HadoopDeploying Grid Services Using Apache Hadoop
Deploying Grid Services Using Apache Hadoop
 
Hadoop 24/7
Hadoop 24/7Hadoop 24/7
Hadoop 24/7
 

Recently uploaded

Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 

Recently uploaded (20)

Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 

Hadoop Operations at LinkedIn

  • 1. Grid Operations Hadoop Operations at LinkedIn Allen Wittenauer Grid Computing Architect ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 2. “Hadoop is not a developer problem; it’s an operations problem.” -- Hadoop vendor ex-employee ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 3. ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 4. § August 2009 – 20 Nodes in 1 grid – Apache Hadoop 0.20.0 – No configuration management – No monitoring – No security – Free for all, including random mafia hits on running jobs – FIFO Scheduling – ~20 users – 20 tasks per node – Solaris – No operational support ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 5. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 6. How We Fixed This (In Chronological Order) ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 7. Year One ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 8. § Dropped task count – 10 mappers => 7 mappers – 10 reducers => 5 reducers § Reworked ETL – hourlies => dailies – Re-ordered to take advantage of compression § 10x storage improvement – Sample impact on one job (not workflow!): § 80,000 map tasks => 2,000 map tasks § Run time cut in half § Optimize work flows/culture shift § More task time, less tasks § Production review to reinforce good behavio(u)r ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 9. § Switched to Capacity Scheduler 5% ETL Tasks – FIFO is terrible 15% Fast Queue: – Fair Share only viable for small tasks - Task Time < 15 Minutes - Job Time < 1 Hour – Enforced SLAs via custom patch - Slot stealing from "Slow" Queue § Submitted Jar Size Limit 80% Slow Queue: – Encourage distributed cache usage - Job Time < 24 Hours – Enforced limit via custom patch - Up to 80% of slots ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 10. § Benchmarking – Use production code not TeraSort! Old Node: New Node: - 2 Rack Units - 1 Rack Unit - 2 CPUs - 2 CPUs - 16 GB - 24 or 32 GB - 8 x 1 TB SATA - 6 x 2 TB SATA - 1 x 2 gb NIC - 1 x 1 gb NIC § Cut cost per unit in half § 2x nodes per rack § Extra RAM – buffering – bus speed ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 11. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 12. Year Two ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 13. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 14. § DataNode disk partitioning – Separate file systems for different purposes 20 GB 200 GB HDFS /, ... MR ... 5GB 200 GB HDFS Swap MR – Mount options: noatime, commit=30, data=writeback § NN, JT, etc – No “special hardware” == use SW RAID ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 15. LDAP Master Multi LDAP Master + Master + Replication KDC Master KDC LDAP/KDC LDAP/KDC Slaves Slaves username, uid username, uid group name, gid group name, gid netgroup, sudoers netgroup, sudoers nscd nscd Client Node Client Node ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 16. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 17. Host bcfg2 Server Group1, Group2, ... Group1 -> Svc1, Svc2, ... bcfg2 Group2 -> Svc1, Svc3, ... client Svc1+ Group3 -> Svc4, Svc5, ... Svc2+ Svc3 Content § Service Bundle – RPMs, config files, etc – Conflict resolution ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 18. § Different RPM names + different install locations = pre-deploy-ability: Object RPM Name File Path Hadoop 1.0.4-p3 Binaries hadoop-1043-bin-1.0.4-3 /dir/hadoop-1.0.4-p3 Grid Config for 1.0.4-p3 gridname-1043- /dir/grid-conf-1.0.4-p3 hadoopconf-1.0.4.3-1 Hadoop 1.1.2-p1 Binaries hadoop-1121-bin-1.1.2.1-1 /dir/hadoop-1.1.2-p1 Grid Config for 1.1.2-p1 gridname-1043- /dir/grid-conf-1.1.2-p1 hadoopconf-1.0.4.3-1 ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 19. Year Three+ ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 20. Corp IT Grid Realm Active Directory krbtgt/GRID@CORP @GRID @CORP Password krbtgt/host@GRID krbtgt/service@GRID krbtgt/user@CORP Hadoop krbtgt/GRID@CORP Services ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 21. Many months moving to secure Apache Hadoop... ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 22. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 23. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 24. § March 2013 – 5000 Nodes in ~10 grids – Apache Hadoop 1.0.4 + custom patches – Full configuration management – Full monitoring – Security – Capacity scheduler with SLA – ~700 users – 12 tasks per node – Linux – Five dedicated operations staff members ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 25. ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 26. Future Work ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 27. Is ‘pure Hadoop’ the right tool for all of our workloads? ©2013 LinkedIn Corporation. All Rights Reserved. Wednesday, March 20, 13
  • 28. YARN PBS H D F S C E P H ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13
  • 29. ©2013 LinkedIn Corporation. All Rights Reserved. BUSINESS OPERATIONS Wednesday, March 20, 13
  • 30. § More on LinkedIn Hadoop Performance: – http://www.slideshare.net/allenwittenauer/2012-lihadoopperf § LinkedIn Data Analytics: – http://data.linkedin.com/ ©2013 LinkedIn Corporation. All Rights Reserved. GRID OPERATIONS Wednesday, March 20, 13

Editor's Notes

  1. Goals: - Fix the performance - Make the system operationally sound
  2. Goals: - Corporate decision to switch to Linux - Start prep for security
  3. we use cobbler to control our kickstart installs. key features: * template engine * snippet system * RPM repo sync * both command line and programmable APIs * and, most importantly, great support for a “netboot always” environment. This means that we always have our hosts boot from the network and, if that fails, local disk. We generally always re-install the machine after a disk failure so that we can start it from a clean slate, cleaning any excess cruft and restoring any host specific parts like Kerberos keytabs. What may be surprising is that our kickstart environment serves primarily to do three things: * partition disks * get enough of the OS installed to troubleshoot a broken kickstart * bootstrap our configuration management tool
  4. Born out of the HPC community in 2004 Python BSD License Love the community Works with everything, not just the Hadoop ecosystem Services based methodology with conflict resolution Awesome reporting engine
  5. Goals: - Deploy secure Hadoop - Reduce user friction
  6. A talk in and of itself Highlights: - another cultural shift - finding many bugs in what was considered stable code - forking the kerberos web filter due to poor code quality
  7. Goals: - What do we need for the next 4 years?