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You're reading from  HBase Administration Cookbook

Product typeBook
Published inAug 2012
PublisherPackt
ISBN-139781849517140
Edition1st Edition
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Author (1)
Yifeng Jiang
Yifeng Jiang
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Yifeng Jiang

Yifeng Jiang is a Hadoop and HBase Administrator and Developer at Rakutenthe largest e-commerce company in Japan. After graduating from the University of Science and Technology of China with a B.S. in Information Management Systems, he started his career as a professional software engineer, focusing on Java development. In 2008, he started looking over the Hadoop project. In 2009, he led the development of his previous company's display advertisement data infrastructure using Hadoop and Hive. In 2010, he joined his current employer, where he designed and implemented the Hadoop- and HBase-based, large-scale item ranking system. He is also one of the members of the Hadoop team in the company, which operates several Hadoop/HBase clusters
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Handling the XceiverCount error


In this recipe, we will describe how to troubleshoot the following XceiverCount error shown in the DataNode logs:

2012-02-18 17:08:10,695 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(10.166.111.191:50010, storageID=DS-2072496811-10.168.130.82-50010-1321345166369, infoPort=50075, ipcPort=50020):DataXceiver
java.io.IOException: xceiverCount 257 exceeds the limit of concurrent xcievers 256
at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run (DataXceiver.java:92)
at java.lang.Thread.run(Thread.java:662)

Getting ready

Log in to your master node.

How to do it...

The following are the steps to fix the XceiverCount error:

  1. 1. Add the following snippet to the HDFS setting file (hdfs-site.xml):

    hadoop@master1$ vi $HADOOP_HOME/conf/hdfs-site.xml
    <property>
    <name>dfs.datanode.max.xcievers</name>
    <value>4096</value>
    </property>
    
    
  2. 2. Sync the hdfs-site.xml file across the cluster:

    hadoop@master1$ for slave...
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HBase Administration Cookbook
Published in: Aug 2012Publisher: PacktISBN-13: 9781849517140

Author (1)

author image
Yifeng Jiang

Yifeng Jiang is a Hadoop and HBase Administrator and Developer at Rakutenthe largest e-commerce company in Japan. After graduating from the University of Science and Technology of China with a B.S. in Information Management Systems, he started his career as a professional software engineer, focusing on Java development. In 2008, he started looking over the Hadoop project. In 2009, he led the development of his previous company's display advertisement data infrastructure using Hadoop and Hive. In 2010, he joined his current employer, where he designed and implemented the Hadoop- and HBase-based, large-scale item ranking system. He is also one of the members of the Hadoop team in the company, which operates several Hadoop/HBase clusters
Read more about Yifeng Jiang