Home Operation and Maintenance Linux Operation and Maintenance What are the tips for performance tuning of Debian Hadoop

What are the tips for performance tuning of Debian Hadoop

Apr 13, 2025 am 10:36 AM
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The skills of Debian Hadoop performance tuning mainly include the following aspects:

  1. HDFS Tuning :
  • NameNode Memory Configuration : Configure the memory size of NameNode according to the server's memory situation. For example, for servers with 4G memory, the maximum memory of NameNode can be configured to be 3072M.
  • NameNode heartbeat concurrency : Adjust the number of threads in which NameNode handles concurrent heartbeats in different DataNodes. The default value is 10, which can be adjusted according to the actual situation.
  • Enable Recycle Bin : Modify Recycle Bin related parameters in core-site.xml, such as fs.trash.interval and fs.trash.checkpoint.interval to prevent accidentally deletion of files.
  1. YARN Tuning :
  • Resource Management : Rationally configure YARN's resource manager (ResourceManager) and node manager (NodeManager) to ensure that resources are reasonably utilized.
  • Scheduler policy : Select the appropriate scheduler policy, such as the Fair Scheduler or the Capacity Scheduler, to meet the resource needs of different jobs.
  1. MapReduce performance tuning :
  • Combiner usage : Use Combiner between the Map and Reduce stages to reduce network traffic and improve job execution efficiency.
  • Data localization : Try to allocate computing tasks to the node where the data is located to reduce data transmission overhead.
  • Data block size adjustment : Adjust the data block size in HDFS according to data processing requirements to optimize the read and write performance of data.
  1. JVM parameter tuning :
  • Adjust JVM memory : Adjust the memory allocation of Java virtual machines according to cluster size and server configuration, for example, set NameNode memory to 3/4 of server memory for Hadoop 2.x series.
  1. Performance Test :
  • Cluster pressure testing : Write and read tests are performed through cluster pressure testing tools (such as TestDFSIO that comes with Hadoop), and the read and write performance of HDFS is evaluated, and the corresponding adjustments are made accordingly based on the test results.
  1. Operating system tuning :
  • File descriptor and network connection number : Increase the number of file descriptor and network connections that the system opens simultaneously to improve processing power.

Please note that the above information is provided based on search results, and detailed testing and adjustments may be required in the actual tuning process according to the specific hardware configuration, workload and business needs.

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