The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

HBase Forum

hbase responseTooLarge caused RpcServer Exception

  • #57094
    Roger Xu
    Participant

    version:HDP 2.1, Hbase 0.98
    Table’s cell having a large number of versions, it works fine when I read 100K VERSIONS from the cell, but it gives me exception when I attempted to read unto 1M VERSIONS. error happens with both hbase shell , and happy base client

    2014-07-10 10:45:30,098 WARN [RpcServer.handler=47,port=60020] ipc.RpcServer: (responseTooLarge): {“processingtimems”:104,”call”:”Get(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$GetRequest)”,”client”:”17.203.54.172:56290″,”starttimems”:1405014329979,”queuetimems”:0,”class”:”HRegionServer”,”responsesize”:157334052,”method”:”Get”}
    2014-07-10 10:45:30,923 INFO [RpcServer.reader=6,port=60020] ipc.RpcServer: RpcServer.listener,port=60020: count of bytes read: 0
    java.io.IOException: Connection reset by peer
    at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
    at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
    at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
    at sun.nio.ch.IOUtil.read(IOUtil.java:197)
    at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379)
    at org.apache.hadoop.hbase.ipc.RpcServer.channelRead(RpcServer.java:2224)
    at org.apache.hadoop.hbase.ipc.RpcServer$Connection.readAndProcess(RpcServer.java:1415)
    at org.apache.hadoop.hbase.ipc.RpcServer$Listener.doRead(RpcServer.java:790)
    at org.apache.hadoop.hbase.ipc.RpcServer$Listener$Reader.doRunLoop(RpcServer.java:581)
    at org.apache.hadoop.hbase.ipc.RpcServer$Listener$Reader.run(RpcServer.java:556)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:744)
    2014-07-10 10:45:30,923 WARN [RpcServer.responder] ipc.RpcServer: RpcServer.respondercallId: 93 service: ClientService methodName: Get size: 225 connection: 17.203.54.172:56290: output error
    2014-07-10 10:45:30,924 INFO [RpcServer.responder] ipc.RpcServer: RpcServer.responder: asyncWrite
    java.io.IOException: Broken pipe
    at sun.nio.ch.FileDispatcherImpl.writev0(Native Method)
    at sun.nio.ch.SocketDispatcher.writev(SocketDispatcher.java:51)
    at sun.nio.ch.IOUtil.write(IOUtil.java:148)
    at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:524)
    at org.apache.hadoop.hbase.ipc.BufferChain.write(BufferChain.java:106)
    at org.apache.hadoop.hbase.ipc.RpcServer.channelWrite(RpcServer.java:2204)
    at org.apache.hadoop.hbase.ipc.RpcServer$Responder.processResponse(RpcServer.java:1004)
    at org.apache.hadoop.hbase.ipc.RpcServer$Responder.doAsyncWrite(RpcServer.java:944)
    at org.apache.hadoop.hbase.ipc.RpcServer$Responder.doRunLoop(RpcServer.java:873)
    at org.apache.hadoop.hbase.ipc.RpcServer$Responder.run(RpcServer.java:849)

The forum ‘HBase’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.