spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Josh Rosen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-9678) HTTP request to BlockManager port yields exception
Date Sat, 23 Jan 2016 23:24:39 GMT

     [ https://issues.apache.org/jira/browse/SPARK-9678?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Rosen resolved SPARK-9678.
-------------------------------
    Resolution: Not A Problem

Resolving as "Not a Problem."

> HTTP request to BlockManager port yields exception
> --------------------------------------------------
>
>                 Key: SPARK-9678
>                 URL: https://issues.apache.org/jira/browse/SPARK-9678
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 1.4.1
>         Environment: Ubuntu 14.0.4
>            Reporter: Aseem Bansal
>            Priority: Minor
>
> I was going through the quick start for spark 1.4.1 at http://spark.apache.org/docs/latest/quick-start.html.
I am using pySpark. Also the exact version that I am using is spark-1.4.1-bin-hadoop2.4
> The quick start has textFile = sc.textFile("README.md"). I ran that and then the following
text appeared in the command line
> {noformat}
> 15/08/06 10:37:03 INFO MemoryStore: ensureFreeSpace(143840) called with curMem=0, maxMem=278302556
> 15/08/06 10:37:03 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated
size 140.5 KB, free 265.3 MB)
> 15/08/06 10:37:03 INFO MemoryStore: ensureFreeSpace(12633) called with curMem=143840,
maxMem=278302556
> 15/08/06 10:37:03 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory
(estimated size 12.3 KB, free 265.3 MB)
> 15/08/06 10:37:03 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:53311
(size: 12.3 KB, free: 265.4 MB)
> 15/08/06 10:37:03 INFO SparkContext: Created broadcast 0 from textFile at NativeMethodAccessorImpl.java:-2
> {noformat}
> I saw that there was an IP in these logs i.e. localhost:53311
> I tried connecting to it via Google Chrome and got an exception.
> {noformat}
> >>> 15/08/06 10:37:30 WARN TransportChannelHandler: Exception in connection
from /127.0.0.1:54056
> io.netty.handler.codec.TooLongFrameException: Adjusted frame length exceeds 2147483647:
5135603447292250196 - discarded
> 	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.fail(LengthFieldBasedFrameDecoder.java:501)
> 	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.failIfNecessary(LengthFieldBasedFrameDecoder.java:477)
> 	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:403)
> 	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:343)
> 	at io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:249)
> 	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:149)
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
> 	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
> 	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> 	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> 	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
> 	at java.lang.Thread.run(Thread.java:745)
> {noformat}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message