SlideShare ist ein Scribd-Unternehmen logo
1 von 14
Working with a Remote Cluster
  7/6/2012

© 2012 MapR Technologies   Remote Cluster 1
Working with a Remote Cluster
   Agenda
   • Prerequisites
   • Configuring the Clusters
   • Managing Multiple Clusters
   • Mirroring between Clusters
   • Transferring Data with Dump Files




© 2012 MapR Technologies    Remote Cluster 2
Working with a Remote Cluster
   Objectives
   At the end of this module you will be able to:
   • List the prerequisites for working with multiple clusters
   • Understand how to configure each node when working with multiple
     clusters
   • Describe what is involved in managing multiple clusters
   • Explain how mirroring between clusters works
   • Understand how to transfer data from a dump file




© 2012 MapR Technologies         Remote Cluster 3
Prerequisites




© 2012 MapR Technologies     Remote Cluster 4
Prerequisites

     Clusters must already be established and running
     Clusters must have different names
     Forward and reverse hostname resolution between all nodes
      –   Yes, even between the clusters
      –   Either in /etc/hosts or via DNS




© 2012 MapR Technologies            Remote Cluster 5
Configuring the Clusters




© 2012 MapR Technologies   Remote Cluster 6
Configuring the Clusters

     Use configure.sh to create new entries in mapr-clusters.conf
      –   On cluster 1: configure.sh –C <cluster 2> -N <cluster 2>
      –   On cluster 2, do the reverse (only if you plan to mirror back to cluster 1>
     -N option adds a new line to mapr-clusters.conf
      –   First line is the local cluster; other lines point to other clusters
      –   To remove clusters from mapr-clusters.conf you must edit the file
     Restart the warden on all nodes on both clusters




© 2012 MapR Technologies             Remote Cluster 7
Managing Multiple
                               Clusters



© 2012 MapR Technologies       Remote Cluster 8
Managing Multiple Clusters




© 2012 MapR Technologies   Remote Cluster 9
Mirroring between
                                Clusters



© 2012 MapR Technologies       Remote Cluster 10
Mirroring between Clusters

     Set up mirror volume with source on named cluster
      –   maprcli volume create
             -name vol1-mirror
             -source vol1@cluster1
             -path /vol1-mirror
             -mount 1
             -type 1




© 2012 MapR Technologies     Remote Cluster 11
Transferring Data with
                          Dump Files



© 2012 MapR Technologies   Remote Cluster 12
Restoration from Dump Files




          Restore dump files to new mirror volumes
               Restore each incremental dump!
          If volumes need to be writable
               Create volumes to receive data
                Copy data from mirror volumes
© 2012 MapR Technologies        Remote Cluster 13
Questions




© 2012 MapR Technologies   Remote Cluster 14

Weitere ähnliche Inhalte

Was ist angesagt?

MapR Tutorial Series
MapR Tutorial SeriesMapR Tutorial Series
MapR Tutorial Seriesselvaraaju
 
Autonomous control in Big Data platforms: and experience with Cassandra
Autonomous control in Big Data platforms: and experience with CassandraAutonomous control in Big Data platforms: and experience with Cassandra
Autonomous control in Big Data platforms: and experience with CassandraEmiliano
 
NYC Hadoop Meetup - MapR, Architecture, Philosophy and Applications
NYC Hadoop Meetup - MapR, Architecture, Philosophy and ApplicationsNYC Hadoop Meetup - MapR, Architecture, Philosophy and Applications
NYC Hadoop Meetup - MapR, Architecture, Philosophy and ApplicationsJason Shao
 
Introduction to Yarn
Introduction to YarnIntroduction to Yarn
Introduction to YarnOmid Vahdaty
 
MapReduce Improvements in MapR Hadoop
MapReduce Improvements in MapR HadoopMapReduce Improvements in MapR Hadoop
MapReduce Improvements in MapR Hadoopabord
 
Spark tunning in Apache Kylin
Spark tunning in Apache KylinSpark tunning in Apache Kylin
Spark tunning in Apache KylinShi Shao Feng
 
Architectural Overview of MapR's Apache Hadoop Distribution
Architectural Overview of MapR's Apache Hadoop DistributionArchitectural Overview of MapR's Apache Hadoop Distribution
Architectural Overview of MapR's Apache Hadoop Distributionmcsrivas
 
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340Big Data Joe™ Rossi
 
Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Big Data Joe™ Rossi
 
Database Research on Modern Computing Architecture
Database Research on Modern Computing ArchitectureDatabase Research on Modern Computing Architecture
Database Research on Modern Computing ArchitectureKyong-Ha Lee
 
Hadoop Cluster With High Availability
Hadoop Cluster With High AvailabilityHadoop Cluster With High Availability
Hadoop Cluster With High AvailabilityEdureka!
 
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like systemAccelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like systemShuai Yuan
 
Advanced Hadoop Tuning and Optimization
Advanced Hadoop Tuning and Optimization Advanced Hadoop Tuning and Optimization
Advanced Hadoop Tuning and Optimization Shivkumar Babshetty
 
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
 

Was ist angesagt? (20)

20a installation
20a installation20a installation
20a installation
 
MapR Tutorial Series
MapR Tutorial SeriesMapR Tutorial Series
MapR Tutorial Series
 
Autonomous control in Big Data platforms: and experience with Cassandra
Autonomous control in Big Data platforms: and experience with CassandraAutonomous control in Big Data platforms: and experience with Cassandra
Autonomous control in Big Data platforms: and experience with Cassandra
 
NYC Hadoop Meetup - MapR, Architecture, Philosophy and Applications
NYC Hadoop Meetup - MapR, Architecture, Philosophy and ApplicationsNYC Hadoop Meetup - MapR, Architecture, Philosophy and Applications
NYC Hadoop Meetup - MapR, Architecture, Philosophy and Applications
 
10c introduction
10c introduction10c introduction
10c introduction
 
Introduction to Yarn
Introduction to YarnIntroduction to Yarn
Introduction to Yarn
 
Hadoop Internals
Hadoop InternalsHadoop Internals
Hadoop Internals
 
MapReduce Improvements in MapR Hadoop
MapReduce Improvements in MapR HadoopMapReduce Improvements in MapR Hadoop
MapReduce Improvements in MapR Hadoop
 
Spark tunning in Apache Kylin
Spark tunning in Apache KylinSpark tunning in Apache Kylin
Spark tunning in Apache Kylin
 
Architectural Overview of MapR's Apache Hadoop Distribution
Architectural Overview of MapR's Apache Hadoop DistributionArchitectural Overview of MapR's Apache Hadoop Distribution
Architectural Overview of MapR's Apache Hadoop Distribution
 
Anatomy of Hadoop YARN
Anatomy of Hadoop YARNAnatomy of Hadoop YARN
Anatomy of Hadoop YARN
 
Hadoop fault-tolerance
Hadoop fault-toleranceHadoop fault-tolerance
Hadoop fault-tolerance
 
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340
Hadoop: Past, Present and Future - v2.1 - SQLSaturday #340
 
Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0
 
Database Research on Modern Computing Architecture
Database Research on Modern Computing ArchitectureDatabase Research on Modern Computing Architecture
Database Research on Modern Computing Architecture
 
Hadoop Cluster With High Availability
Hadoop Cluster With High AvailabilityHadoop Cluster With High Availability
Hadoop Cluster With High Availability
 
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like systemAccelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system
Accelerate Reed-Solomon coding for Fault-Tolerance in RAID-like system
 
Advanced Hadoop Tuning and Optimization
Advanced Hadoop Tuning and Optimization Advanced Hadoop Tuning and Optimization
Advanced Hadoop Tuning and Optimization
 
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
 
HDF-EOS Tools
HDF-EOS ToolsHDF-EOS Tools
HDF-EOS Tools
 

Andere mochten auch

Clima y violencia escolar
Clima y violencia escolarClima y violencia escolar
Clima y violencia escolarderly castillo
 
Rea tec monterrey practica 3 portafolio susan solis r
Rea tec monterrey practica 3 portafolio susan solis rRea tec monterrey practica 3 portafolio susan solis r
Rea tec monterrey practica 3 portafolio susan solis rsusancostarica
 
Sánchez montaño leslie vanesa
Sánchez  montaño  leslie  vanesaSánchez  montaño  leslie  vanesa
Sánchez montaño leslie vanesalesli3
 
Exposición Cabanillas centros do Salnés
Exposición Cabanillas centros do SalnésExposición Cabanillas centros do Salnés
Exposición Cabanillas centros do Salnéscandeadosalnes
 
je suis un fou à Al Hoceïma je me nomme Didier
  je suis un fou à Al Hoceïma je me nomme Didier    je suis un fou à Al Hoceïma je me nomme Didier
je suis un fou à Al Hoceïma je me nomme Didier vendreamarrakech34
 
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일여성환경연대
 
CEREC 30
CEREC 30CEREC 30
CEREC 30Lalamay
 
Modelos de enseñanza
Modelos de enseñanzaModelos de enseñanza
Modelos de enseñanzaTODOBIEN1997
 
Jean Sibelius Finlandia
Jean Sibelius FinlandiaJean Sibelius Finlandia
Jean Sibelius FinlandiaHanna Akkanen
 
Tarea 2 Dimensiones de la Didáctica
Tarea 2 Dimensiones de la DidácticaTarea 2 Dimensiones de la Didáctica
Tarea 2 Dimensiones de la DidácticaMATALOTE5855
 
Copy of glass ionomer cement/ dental implant courses
Copy of glass ionomer cement/ dental implant coursesCopy of glass ionomer cement/ dental implant courses
Copy of glass ionomer cement/ dental implant coursesIndian dental academy
 
God's great plan for you
God's great plan for youGod's great plan for you
God's great plan for youStanley Tan
 
7 maravillas
7 maravillas7 maravillas
7 maravillasFAE
 

Andere mochten auch (19)

Clima y violencia escolar
Clima y violencia escolarClima y violencia escolar
Clima y violencia escolar
 
Rea tec monterrey practica 3 portafolio susan solis r
Rea tec monterrey practica 3 portafolio susan solis rRea tec monterrey practica 3 portafolio susan solis r
Rea tec monterrey practica 3 portafolio susan solis r
 
Sánchez montaño leslie vanesa
Sánchez  montaño  leslie  vanesaSánchez  montaño  leslie  vanesa
Sánchez montaño leslie vanesa
 
Raul Arte(Raul Chaves-2010)
Raul Arte(Raul Chaves-2010)Raul Arte(Raul Chaves-2010)
Raul Arte(Raul Chaves-2010)
 
DIDACTICA
DIDACTICADIDACTICA
DIDACTICA
 
Searching for Commercial Real Estate and Property
Searching for Commercial Real Estate and PropertySearching for Commercial Real Estate and Property
Searching for Commercial Real Estate and Property
 
Exposición Cabanillas centros do Salnés
Exposición Cabanillas centros do SalnésExposición Cabanillas centros do Salnés
Exposición Cabanillas centros do Salnés
 
je suis un fou à Al Hoceïma je me nomme Didier
  je suis un fou à Al Hoceïma je me nomme Didier    je suis un fou à Al Hoceïma je me nomme Didier
je suis un fou à Al Hoceïma je me nomme Didier
 
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일
27.wssd의 준비동향과 한국여성의 참여전략, 첨부파일
 
From social data to social insight
From social data to social insightFrom social data to social insight
From social data to social insight
 
CEREC 30
CEREC 30CEREC 30
CEREC 30
 
Modelos de enseñanza
Modelos de enseñanzaModelos de enseñanza
Modelos de enseñanza
 
Jean Sibelius Finlandia
Jean Sibelius FinlandiaJean Sibelius Finlandia
Jean Sibelius Finlandia
 
Tarea 2 Dimensiones de la Didáctica
Tarea 2 Dimensiones de la DidácticaTarea 2 Dimensiones de la Didáctica
Tarea 2 Dimensiones de la Didáctica
 
Copy of glass ionomer cement/ dental implant courses
Copy of glass ionomer cement/ dental implant coursesCopy of glass ionomer cement/ dental implant courses
Copy of glass ionomer cement/ dental implant courses
 
Cleaning & Shaping
Cleaning & ShapingCleaning & Shaping
Cleaning & Shaping
 
Space managment
Space managmentSpace managment
Space managment
 
God's great plan for you
God's great plan for youGod's great plan for you
God's great plan for you
 
7 maravillas
7 maravillas7 maravillas
7 maravillas
 

Ähnlich wie 55a remote cluster

The Apache Cassandra ecosystem
The Apache Cassandra ecosystemThe Apache Cassandra ecosystem
The Apache Cassandra ecosystemAlex Thompson
 
Disaster recovery of OpenStack Cinder using DRBD
Disaster recovery of OpenStack Cinder using DRBDDisaster recovery of OpenStack Cinder using DRBD
Disaster recovery of OpenStack Cinder using DRBDViswesuwara Nathan
 
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBIT
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBITOpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBIT
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBITOpenNebula Project
 
Kubernetes From Scratch .pdf
Kubernetes From Scratch .pdfKubernetes From Scratch .pdf
Kubernetes From Scratch .pdfssuser9b44c7
 
Efficient resource management with Red Hat OpenShift
Efficient resource management with Red Hat OpenShiftEfficient resource management with Red Hat OpenShift
Efficient resource management with Red Hat OpenShiftrgcalvo
 
LINBIT_HA_Business_Apr2016
LINBIT_HA_Business_Apr2016LINBIT_HA_Business_Apr2016
LINBIT_HA_Business_Apr2016Alexandre Huynh
 
Distributed Framework for Data Mining As a Service on Private Cloud
Distributed Framework for Data Mining As a Service on Private CloudDistributed Framework for Data Mining As a Service on Private Cloud
Distributed Framework for Data Mining As a Service on Private CloudIJERA Editor
 
Scalability 09262012
Scalability 09262012Scalability 09262012
Scalability 09262012Mike Miller
 
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...{code} by Dell EMC
 
Chapter 10.slides
Chapter 10.slidesChapter 10.slides
Chapter 10.slideslara_ays
 
Simplifying Cloud Architectures with Data Virtualization
Simplifying Cloud Architectures with Data VirtualizationSimplifying Cloud Architectures with Data Virtualization
Simplifying Cloud Architectures with Data VirtualizationDenodo
 
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Guptavdmchallenge
 
MCDB: Multi Cloud Database Model
MCDB: Multi Cloud Database ModelMCDB: Multi Cloud Database Model
MCDB: Multi Cloud Database Modelathulya_raj
 
Enabling Disaster Recovery as Service (DRaaS) on OpenStack
Enabling Disaster Recovery as Service (DRaaS) on OpenStack Enabling Disaster Recovery as Service (DRaaS) on OpenStack
Enabling Disaster Recovery as Service (DRaaS) on OpenStack haribabu kasturi
 
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...DataStax Academy
 
dmapply: A functional primitive to express distributed machine learning algor...
dmapply: A functional primitive to express distributed machine learning algor...dmapply: A functional primitive to express distributed machine learning algor...
dmapply: A functional primitive to express distributed machine learning algor...Bikash Chandra Karmokar
 

Ähnlich wie 55a remote cluster (20)

22 configuration
22 configuration22 configuration
22 configuration
 
The Apache Cassandra ecosystem
The Apache Cassandra ecosystemThe Apache Cassandra ecosystem
The Apache Cassandra ecosystem
 
50a volumes
50a volumes50a volumes
50a volumes
 
HBase with MapR
HBase with MapRHBase with MapR
HBase with MapR
 
Disaster recovery of OpenStack Cinder using DRBD
Disaster recovery of OpenStack Cinder using DRBDDisaster recovery of OpenStack Cinder using DRBD
Disaster recovery of OpenStack Cinder using DRBD
 
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBIT
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBITOpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBIT
OpenNebulaConf 2016 - The DRBD SDS for OpenNebula by Philipp Reisner, LINBIT
 
Kubernetes From Scratch .pdf
Kubernetes From Scratch .pdfKubernetes From Scratch .pdf
Kubernetes From Scratch .pdf
 
Efficient resource management with Red Hat OpenShift
Efficient resource management with Red Hat OpenShiftEfficient resource management with Red Hat OpenShift
Efficient resource management with Red Hat OpenShift
 
LINBIT_HA_Business_Apr2016
LINBIT_HA_Business_Apr2016LINBIT_HA_Business_Apr2016
LINBIT_HA_Business_Apr2016
 
Distributed Framework for Data Mining As a Service on Private Cloud
Distributed Framework for Data Mining As a Service on Private CloudDistributed Framework for Data Mining As a Service on Private Cloud
Distributed Framework for Data Mining As a Service on Private Cloud
 
48a tuning
48a tuning48a tuning
48a tuning
 
Scalability 09262012
Scalability 09262012Scalability 09262012
Scalability 09262012
 
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...
Data Analytics Using Container Persistence Through SMACK - Manny Rodriguez-Pe...
 
Chapter 10.slides
Chapter 10.slidesChapter 10.slides
Chapter 10.slides
 
Simplifying Cloud Architectures with Data Virtualization
Simplifying Cloud Architectures with Data VirtualizationSimplifying Cloud Architectures with Data Virtualization
Simplifying Cloud Architectures with Data Virtualization
 
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta
#VirtualDesignMaster 3 Challenge 3 - Harshvardhan Gupta
 
MCDB: Multi Cloud Database Model
MCDB: Multi Cloud Database ModelMCDB: Multi Cloud Database Model
MCDB: Multi Cloud Database Model
 
Enabling Disaster Recovery as Service (DRaaS) on OpenStack
Enabling Disaster Recovery as Service (DRaaS) on OpenStack Enabling Disaster Recovery as Service (DRaaS) on OpenStack
Enabling Disaster Recovery as Service (DRaaS) on OpenStack
 
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...
C* Summit 2013: Netflix Open Source Tools and Benchmarks for Cassandra by Adr...
 
dmapply: A functional primitive to express distributed machine learning algor...
dmapply: A functional primitive to express distributed machine learning algor...dmapply: A functional primitive to express distributed machine learning algor...
dmapply: A functional primitive to express distributed machine learning algor...
 

Mehr von mapr-academy

42 lab-managing services
42 lab-managing services42 lab-managing services
42 lab-managing servicesmapr-academy
 
41a managing services
41a managing services41a managing services
41a managing servicesmapr-academy
 
3 map r installation & setup administration course description
3 map r installation & setup administration course description3 map r installation & setup administration course description
3 map r installation & setup administration course descriptionmapr-academy
 

Mehr von mapr-academy (6)

53 lab-nfs
53 lab-nfs53 lab-nfs
53 lab-nfs
 
51 lab-volumes
51 lab-volumes51 lab-volumes
51 lab-volumes
 
42 lab-managing services
42 lab-managing services42 lab-managing services
42 lab-managing services
 
41a managing services
41a managing services41a managing services
41a managing services
 
14 lab-planing
14 lab-planing14 lab-planing
14 lab-planing
 
3 map r installation & setup administration course description
3 map r installation & setup administration course description3 map r installation & setup administration course description
3 map r installation & setup administration course description
 

Kürzlich hochgeladen

Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 

Kürzlich hochgeladen (20)

Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 

55a remote cluster

  • 1. Working with a Remote Cluster 7/6/2012 © 2012 MapR Technologies Remote Cluster 1
  • 2. Working with a Remote Cluster Agenda • Prerequisites • Configuring the Clusters • Managing Multiple Clusters • Mirroring between Clusters • Transferring Data with Dump Files © 2012 MapR Technologies Remote Cluster 2
  • 3. Working with a Remote Cluster Objectives At the end of this module you will be able to: • List the prerequisites for working with multiple clusters • Understand how to configure each node when working with multiple clusters • Describe what is involved in managing multiple clusters • Explain how mirroring between clusters works • Understand how to transfer data from a dump file © 2012 MapR Technologies Remote Cluster 3
  • 4. Prerequisites © 2012 MapR Technologies Remote Cluster 4
  • 5. Prerequisites  Clusters must already be established and running  Clusters must have different names  Forward and reverse hostname resolution between all nodes – Yes, even between the clusters – Either in /etc/hosts or via DNS © 2012 MapR Technologies Remote Cluster 5
  • 6. Configuring the Clusters © 2012 MapR Technologies Remote Cluster 6
  • 7. Configuring the Clusters  Use configure.sh to create new entries in mapr-clusters.conf – On cluster 1: configure.sh –C <cluster 2> -N <cluster 2> – On cluster 2, do the reverse (only if you plan to mirror back to cluster 1>  -N option adds a new line to mapr-clusters.conf – First line is the local cluster; other lines point to other clusters – To remove clusters from mapr-clusters.conf you must edit the file  Restart the warden on all nodes on both clusters © 2012 MapR Technologies Remote Cluster 7
  • 8. Managing Multiple Clusters © 2012 MapR Technologies Remote Cluster 8
  • 9. Managing Multiple Clusters © 2012 MapR Technologies Remote Cluster 9
  • 10. Mirroring between Clusters © 2012 MapR Technologies Remote Cluster 10
  • 11. Mirroring between Clusters  Set up mirror volume with source on named cluster – maprcli volume create -name vol1-mirror -source vol1@cluster1 -path /vol1-mirror -mount 1 -type 1 © 2012 MapR Technologies Remote Cluster 11
  • 12. Transferring Data with Dump Files © 2012 MapR Technologies Remote Cluster 12
  • 13. Restoration from Dump Files  Restore dump files to new mirror volumes  Restore each incremental dump!  If volumes need to be writable  Create volumes to receive data  Copy data from mirror volumes © 2012 MapR Technologies Remote Cluster 13
  • 14. Questions © 2012 MapR Technologies Remote Cluster 14