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Apache Hadoop YARN - Hortonworks Meetup Presentation
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Apache Hadoop YARN - Hortonworks Meetup Presentation
1.
Apache Hadoop YARN
Page 1
2.
A Cursory Look
At The Architecture Node Node Manager Manager Container App Mstr App Mstr Client Resource Node Node Resource Manager Manager Manager Manager Client Client App Mstr Container Container MapReduce Status Node Node MapReduce Status Manager Manager Job Submission Job Submission Node Status Node Status Resource Request Resource Request Container Container © Hortonworks Inc. 2012. Confidential and Proprietary. Page 2
3.
Global Scheduler (ResourceManager) •
Pure resource arbitration • Multiple resource dimensions –<priority, data-locality, memory, cpu, …> • In-built support for data-locality –Node, Rack etc. – Unique to YARN © Hortonworks Inc. 2012. Confidential and Proprietary. Page 3
4.
Scheduler Concepts • Input
from AM(s) is a dynamic list of ResourceRequests – <resource-name, resource-capability> – Resource name: (hostname / rackname / any) – Resource capability: (memory, cpu, …) – Essentially an inverted <name, capability> request map from AM to RM – No notion of tasks! • Output - Container –Resource(s) grant on a specific machine –Verifiable grant © Hortonworks Inc. 2012. Confidential and Proprietary. Page 4
5.
Scheduling Walkthrough MapReduce
job with 2 maps and 1 reduce © Hortonworks Inc. 2012. Confidential and Proprietary. Page 5
6.
Scheduling Walkthrough Container
allocation on r22/h2121: © Hortonworks Inc. 2012. Confidential and Proprietary. Page 6
7.
Scheduling Walkthrough Container
allocation on r11/h1010: © Hortonworks Inc. 2012. Confidential and Proprietary. Page 7
8.
Writing Custom Applications •
Grand total of 3 protocols –ClientRMProtocol – Application launching program – submitApplication –AMRMProtocol – Protocol between AM & RM for resource allocation – registerApplication / allocate / finishApplication –ContainerManagerProtocol – Protocol between AM & NM for container start/stop – startContainer / stopContainer © Hortonworks Inc. 2012. Confidential and Proprietary. Page 8
9.
API improvements • Overload
of the ‘*’ entry. • Release / reject containers • Ask for specific nodes/racks (only) • Don’t give me containers on this racks/nodes • Single client thread allowed to request containers • Overloaded allocate call Page 9 © Hortonworks Inc. 2012
10.
Recent advancements • Tools
for debugging AMs –Unmanaged AM • Generic AM – Utility libraries for writing –YARN-103, YARN-29 • YARN project split and how multiple versions of MapReduce can coexist. Page 10 © Hortonworks Inc. 2012
11.
Roadmap • MapReduce container
reuse • RM restart capability • Multi-resource scheduling • Generic application history server Page 11 © Hortonworks Inc. 2012
12.
Questions? Thank You!
© Hortonworks Inc. 2012. Confidential and Proprietary. Page 12
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