1 / 23

HDFS write/read flow and performance optimization

HDFS write/read flow and performance optimization. 2/20/2014 Chen weicheng. Outline. Background HDFS write/read flow Some test results Write Pipeline Analyze. Background. The age of Big Data is coming Big data computing become cheaper. Background for Intel. China Rack Project

toan
Télécharger la présentation

HDFS write/read flow and performance optimization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HDFS write/read flow and performance optimization 2/20/2014 Chen weicheng

  2. Outline • Background • HDFS write/read flow • Some test results • Write Pipeline Analyze

  3. Background • The age of Big Data is coming • Big data computing become cheaper

  4. Background for Intel • China Rack Project • Powerful hardware • IDH(Intel Hadoop)

  5. Our team • Small team under DCSG • One manager • Two interns • Focus on HDFS write/read • Zero technology accumulation

  6. Why HDFS? • Foundation of Hadoop (importance) • More chance to optimize (possibility)

  7. What We Should Do • Read HDFS Source Code • Understand Write/Read Flow • Looking for opportunity to optimize • Source code level • Hardware level

  8. Outline • Background • HDFS write/read flow • Some test results • Write Pipeline Analyze

  9. Related Conceptions File hierarchy in HDFS Roles in HDFS

  10. NameNode 2:create Distributed FileSystem HDFS Client 1:create HDFS Write Flow 3:write 7:complete FSData OutputStream 6:close Client 4:write packet 5:ack packet 4 4 Pipeline of datanodes DataNode1 DataNode2 DataNode3 5 5

  11. Client related 1.Request HDFS Client 2.Create DistributedFileSystem FS put 3.Create DFSClient 4.Create 7.Write data DFSOutputStream Write() Buffer 5.Start Write1() DataStreamer Chunk notify 6.Start checksum add ResponseProcessor WriteChunk() dataqueue DFSOutputStream

  12. DataNode related HDFS Client 3.DataInputStream 1.Request DataXceiver DataXceiverServer 2.Create 4.OP_WRITE_BLOCK DataXceiver.writeBlock() Block 5.Create streams PacketResponder BlockReceiver. receiveBlock() 6.Create thread 7.while(true) BlockReceiver. receivePacket() Packet DataNode

  13. HDFS Read Flow NameNode Distributed FileSystem HDFS Client 1:open 2:get block location 3:Read FSData InputStream 6:close Client 5:read 4:read DataNode DataNode DataNode

  14. Outline • Background • HDFS write/read flow • Some test results • Write Pipeline Analyze

  15. Test Configurations Per server • 2x E5-2680 • 32GB DIMM or more • 3x 2TB SATA (7200 RPM) • Network—1GbE, IP over infiniband (IPoIB) • Hadoop Versions—1.1.2, 2.0.5, 2.1.0 Intel Confidential

  16. Put Time Time(s) packet

  17. Test method

  18. Packet transfer efficiency Intel Confidential

  19. Conclusion(packet) • File put time different on different packet sizes due to the different transfer efficiency in stream. • Best performance of packet size • 128k for 1GbE • 512k for IPoIB • For the 1st block of a file, Hadoop v2.1.0 Initialization spends longer time than v1.0 Intel Confidential

  20. Outline • Background • HDFS write/read flow • Some test results • Write Pipeline Analyze

  21. Write-Read Flow: Write-Read Flow(Packet) of HDFS Client DN1 DN2 DN3 Write-Read Flow(Packet) of HDFS (With DataQueue) Client DN1 DN2 DN3

  22. Thank you!

More Related