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From d..@eiler.net
Subject Re: Help with tuning for larger clusters
Date Thu, 29 Oct 2015 13:37:34 GMT
Nope, not trying to load any data yet. Just starting up all the nodes  
and trying to run the hadoop mapreduce pi estimator example.

I made all the changes below and started all the nodes (I have a  
script the does a pssh so all the nodes start at about the same time.)  
I then waited quite a while until all the node logs stopped showing  
the "Retrying preload" messages. At this point one of the nodes  
already had the NIO exception.

But I then attempted to run the pi estimator example anyways.
It prints out the Number of Maps / Samples per Map messages but it  
just hangs and I never see the "Wrote input for Map" messages (there  
have been times were I'll see a few and then it will hang. That is  
what made me think it was the writes using the "hdfs api" that were  
hanging.

Denis, I'll send a tar file with the logs directly to you shortly so  
as not to clog peoples inboxes.

Joe


Quoting Denis Magda <dmagda@gridgain.com>:

> Hi Joe,
>
> No problems, I'll guide you until we get to the bottom.
>
> Do you start pre-loading the caches with data right after the  
> cluster is ready? If so let's postpone doing this until you have a  
> stable cluster with caches rebalanced and ready to be used.
>
> Please, do the following as the next steps:
>
> 1) Set 'failureDetectionTimeout' to a bigger value (~ 15 secs);
>
> 2) Set CacheConfiguration.setRebalanceTimeout to a value that is  
> approximately equal to the time when all the nodes are joined the  
> topology (~ 1 minute or so).
>
> 3) Enable verbose logging for every node by passing  
> -DIGNITE_QUEIT=false parameter to virtual machine arguments list. If  
> you use ignite.sh script then just pass '-v' flag.
>
> 4) Enable garbage collection logs for every node by passing this  
> string to virtual machine arguments list -Xloggc:./gc.log  
> -XX:+PrintGCDetails -verbose:gc
>
> When you did a test run taking into account all the points above  
> please gather all the logs (including garbage collection logs) and  
> send us for further investigation.
>
> Regards,
> Denis
>
> On 10/28/2015 1:40 PM, dev@eiler.net wrote:
>> Thanks for the info Denis.
>>
>> Removing the failureDetectionTimeout and using the networkTimeout  
>> seems to allow the nodes to join the topology in about the same  
>> amount of time. I'm still only having occasional success running  
>> anything (even just the pi estimator)
>>
>> I seem to always see a bunch of warnings...a summary is dumped  
>> below along with my config at the end, any guidance you can provide  
>> is appreciated.
>>
>> Thanks,
>> Joe
>>
>> Every node seems to see a bunch of "Retrying preload partition",  
>> with the lowest locNodeOrder having fewer nodes in the remaining
>>
>> [14:52:38,979][WARN  
>> ][ignite-#104%sys-null%][GridDhtPartitionsExchangeFuture] Retrying  
>> preload partition exchange due to timeout [done=false, dummy=false,  
>> exchId=GridDhtPartitionExchangeId [topVer=AffinityTopologyVersion  
>> [topVer=62, minorTopVer=0], nodeId=fd9620f5, evt=NODE_JOINED],  
>> rcvdIds=[], rmtIds=[0ab29a08, 5216f6ba, f882885f, 0d232f1a,  
>> b74f5ebb, 5790761a, 55d2082e, b1bf93b3, 2fd79f9f, a899ccce,  
>> 3dd74aba, 320d05fd, 0d44a4b3, 9a00f235, 4426467e, 7837fdfc,  
>> e8778da0, 4a988e3e, f8cabdbb, 494ad6fd, 7c05abfb, 5902c851,  
>> c406028e, a0b57685, e213b903, c85a0b46, df981c08, 187cd54f,  
>> f0b7b298, 94ec7576, 041975f5, aecba5d0, 5549256d, f9b5a77a,  
>> 596d0df7, 26266d8c, 0e664e25, 97d112b2, aac08043, 6b81a2b1,  
>> 5a2a1012, 534ac94b, b34cb942, 837785eb, 966d70b2, 3aab732e,  
>> 4e34ad89, 6df0ffff, 4c7c3c47, 85eea5fe, 1c5e2f6b, 3f426f4e,  
>> 27a9bef9, cd874e96, dc3256a7, 4da50521, 1d370c9e, 19c334eb,  
>> 24be15dd, 6c922af3, 01ea2812], remaining=[0ab29a08, 5216f6ba,  
>> f882885f, 0d232f1a, b74f5ebb, 5790761a, 55d2082e, b1bf93b3,  
>> 2fd79f9f, a899ccce, 3dd74aba, 320d05fd, 0d44a4b3, 9a00f235,  
>> 4426467e, 7837fdfc, e8778da0, 4a988e3e, f8cabdbb, 494ad6fd,  
>> 7c05abfb, 5902c851, c406028e, a0b57685, e213b903, c85a0b46,  
>> df981c08, 187cd54f, f0b7b298, 94ec7576, 041975f5, aecba5d0,  
>> 5549256d, f9b5a77a, 596d0df7, 26266d8c, 0e664e25, 97d112b2,  
>> aac08043, 6b81a2b1, 5a2a1012, 534ac94b, b34cb942, 837785eb,  
>> 966d70b2, 3aab732e, 4e34ad89, 6df0ffff, 4c7c3c47, 85eea5fe,  
>> 1c5e2f6b, 3f426f4e, 27a9bef9, cd874e96, dc3256a7, 4da50521,  
>> 1d370c9e, 19c334eb, 24be15dd, 6c922af3, 01ea2812], init=true,  
>> initFut=true, ready=true, replied=false, added=true,  
>> oldest=0d44a4b3, oldestOrder=1, evtLatch=0, locNodeOrder=62,  
>> locNodeId=fd9620f5-3ebb-4a71-a482-73d6a81b1688]
>>
>>
>> [14:38:41,893][WARN  
>> ][ignite-#95%sys-null%][GridDhtPartitionsExchangeFuture] Retrying  
>> preload partition exchange due to timeout [done=false, dummy=false,  
>> exchId=GridDhtPartitionExchangeId [topVer=AffinityTopologyVersion  
>> [topVer=25, minorTopVer=0], nodeId=df981c08, evt=NODE_JOINED],  
>> rcvdIds=[7c05abfb, b34cb942, e213b903, 320d05fd, 5902c851,  
>> f0b7b298, 1d370c9e, 0d232f1a, 494ad6fd, 5a2a1012, b1bf93b3,  
>> 55d2082e, 7837fdfc, 85eea5fe, 4e34ad89, 5790761a, 3f426f4e,  
>> aac08043, 187cd54f, 01ea2812, c406028e, 24be15dd, 966d70b2],  
>> rmtIds=[0d232f1a, 5790761a, 55d2082e, b1bf93b3, aac08043, 5a2a1012,  
>> b34cb942, 320d05fd, 966d70b2, 4e34ad89, 85eea5fe, 7837fdfc,  
>> 3f426f4e, 1d370c9e, 494ad6fd, 7c05abfb, 5902c851, c406028e,  
>> 24be15dd, e213b903, df981c08, 187cd54f, f0b7b298, 01ea2812],  
>> remaining=[df981c08], init=true, initFut=true, ready=true,  
>> replied=false, added=true, oldest=0d44a4b3, oldestOrder=1,  
>> evtLatch=0, locNodeOrder=1,  
>> locNodeId=0d44a4b3-4d10-4f67-b8bd-005be226b1df]
>>
>>
>> I also see a little over half the nodes getting "Still waiting for  
>> initial partition map exchange" warnings like this
>>
>>
>> [14:39:37,848][WARN ][main][GridCachePartitionExchangeManager]  
>> Still waiting for initial partition map exchange  
>> [fut=GridDhtPartitionsExchangeFuture [dummy=false,  
>> forcePreload=false, reassign=false, discoEvt=DiscoveryEvent  
>> [evtNode=TcpDiscoveryNode [id=27a9bef9-de04-486d-aac0-bfa749e9007d,  
>> addrs=[0:0:0:0:0:0:0:1%1, 10.148.0.87, 10.159.1.182, 127.0.0.1],  
>> sockAddrs=[r1i4n10.redacted.com/10.148.0.87:47500,  
>> /0:0:0:0:0:0:0:1%1:47500, /10.159.1.182:47500, /10.148.0.87:47500,  
>> /10.159.1.182:47500, /127.0.0.1:47500], discPort=47500, order=48,  
>> intOrder=48, lastExchangeTime=1445974777828, loc=true,  
>> ver=1.4.0#19691231-sha1:00000000, isClient=false], topVer=48,  
>> nodeId8=27a9bef9, msg=null, type=NODE_JOINED,  
>> tstamp=1445974647187], rcvdIds=GridConcurrentHashSet [elements=[]],  
>> rmtIds=[0ab29a08-9c95-4054-8035-225f5828b3d4,  
>> 0d232f1a-0f46-4798-a39a-63a17dc4dc7f,  
>> f9b5a77a-a4c1-46aa-872e-aeaca9b76ee3,  
>> 596d0df7-3edf-4078-8f4a-ffa3d96296c6,  
>> 5790761a-aeeb-44d1-9fce-3fee31ef39b7,  
>> 55d2082e-3517-4828-8d47-57b4ed5a41bc,  
>> 26266d8c-cc87-4472-9fa4-c526d6da2233,  
>> 0e664e25-8dde-4df8-966b-53b60f9a1087,  
>> b1bf93b3-24bb-4520-ade0-31d05a93558d,  
>> aac08043-875a-485a-ab2c-cd7e66d68f8f,  
>> 2fd79f9f-9590-41d2-962e-004a3d7690b5,  
>> 5a2a1012-0766-448c-9583-25873c305de9,  
>> 534ac94b-8dd1-4fa8-a481-539fa4f4ce55,  
>> b34cb942-e960-4a00-b4fb-10add6466a93,  
>> 320d05fd-e021-40ac-83bc-62f54756771b,  
>> 0d44a4b3-4d10-4f67-b8bd-005be226b1df,  
>> 837785eb-24e0-496a-a0cc-f795b64b5929,  
>> 9a00f235-3b6a-4be5-b0e3-93cd1beacaf4,  
>> 966d70b2-e1dc-4e20-9876-b63736545abd,  
>> 3aab732e-a075-4b19-9525-e97a1260a4fe,  
>> 4e34ad89-fa46-4503-a599-b8c937ca1f47,  
>> 4c7c3c47-6e5c-4c15-80a9-408192596bc2,  
>> 85eea5fe-9aff-4821-970c-4ce006ee853a,  
>> 7837fdfc-6255-4784-8088-09d4e6e37bb9,  
>> 3f426f4e-2d0c-402a-a4af-9d7656f46484,  
>> e8778da0-a764-4ad9-afba-8a748564e12a,  
>> 4a988e3e-3434-4271-acd6-af2a1e30524c,  
>> cd874e96-63cf-41c9-8e8a-75f3223bfe9d,  
>> f8cabdbb-875a-480b-8b5e-4b5313c5fcbd,  
>> dc3256a7-ae23-4c2e-b375-55e2884e045d,  
>> 4da50521-aad0-48a4-9f79-858bbc2e6b89,  
>> 1d370c9e-250f-4733-8b8a-7b6f5c6e1b2b,  
>> 494ad6fd-1637-44b8-8d3a-1fa19681ba64,  
>> 7c05abfb-dba1-43c3-a8b1-af504762ec60,  
>> 5902c851-5275-41fd-89c4-cd6390c88670,  
>> 19c334eb-5661-4697-879d-1082571dfef8,  
>> c406028e-768e-404e-8417-40d2960c4ba3,  
>> a0b57685-e5dc-498c-99a4-33b1aef32632,  
>> 24be15dd-45f7-4980-b4f8-3176ab67e8f6,  
>> e213b903-107b-4465-8fe1-78b7b393d631,  
>> df981c08-148d-4266-9ea7-163168012968,  
>> 187cd54f-396b-4c3c-9bfc-9883ac37f556,  
>> f0b7b298-6432-477a-85a0-83e29e8c5380,  
>> 94ec7576-7a02-4c08-8739-4e0fc52a3d3a,  
>> 041975f5-990a-4792-b384-eded32966783,  
>> 01ea2812-5005-4152-af2e-2586bf65b4c6,  
>> aecba5d0-9d9b-4ab6-9018-62f5abb7b809],  
>> exchId=GridDhtPartitionExchangeId [topVer=AffinityTopologyVersion  
>> [topVer=48, minorTopVer=0], nodeId=27a9bef9, evt=NODE_JOINED],  
>> init=true, ready=true, replied=false, added=true,  
>> initFut=GridFutureAdapter [resFlag=2, res=true,  
>> startTime=1445974657836, endTime=1445974658400,  
>> ignoreInterrupts=false, lsnr=null, state=DONE], topSnapshot=null,  
>> lastVer=null, partReleaseFut=GridCompoundFuture [lsnrCalls=3,  
>> finished=true, rdc=null, init=true,  
>> res=java.util.concurrent.atomic.AtomicMarkableReference@6b58be0e,  
>> err=null, done=true, cancelled=false, err=null, futs=[true, true,  
>> true]], skipPreload=false, clientOnlyExchange=false,  
>> oldest=0d44a4b3-4d10-4f67-b8bd-005be226b1df, oldestOrder=1,  
>> evtLatch=0, remaining=[0ab29a08-9c95-4054-8035-225f5828b3d4,  
>> 0d232f1a-0f46-4798-a39a-63a17dc4dc7f,  
>> f9b5a77a-a4c1-46aa-872e-aeaca9b76ee3,  
>> 596d0df7-3edf-4078-8f4a-ffa3d96296c6,  
>> 5790761a-aeeb-44d1-9fce-3fee31ef39b7,  
>> 55d2082e-3517-4828-8d47-57b4ed5a41bc,  
>> 26266d8c-cc87-4472-9fa4-c526d6da2233,  
>> 0e664e25-8dde-4df8-966b-53b60f9a1087,  
>> b1bf93b3-24bb-4520-ade0-31d05a93558d,  
>> aac08043-875a-485a-ab2c-cd7e66d68f8f,  
>> 2fd79f9f-9590-41d2-962e-004a3d7690b5,  
>> 5a2a1012-0766-448c-9583-25873c305de9,  
>> 534ac94b-8dd1-4fa8-a481-539fa4f4ce55,  
>> b34cb942-e960-4a00-b4fb-10add6466a93,  
>> 320d05fd-e021-40ac-83bc-62f54756771b,  
>> 0d44a4b3-4d10-4f67-b8bd-005be226b1df,  
>> 837785eb-24e0-496a-a0cc-f795b64b5929,  
>> 9a00f235-3b6a-4be5-b0e3-93cd1beacaf4,  
>> 966d70b2-e1dc-4e20-9876-b63736545abd,  
>> 3aab732e-a075-4b19-9525-e97a1260a4fe,  
>> 4e34ad89-fa46-4503-a599-b8c937ca1f47,  
>> 4c7c3c47-6e5c-4c15-80a9-408192596bc2,  
>> 85eea5fe-9aff-4821-970c-4ce006ee853a,  
>> 7837fdfc-6255-4784-8088-09d4e6e37bb9,  
>> 3f426f4e-2d0c-402a-a4af-9d7656f46484,  
>> e8778da0-a764-4ad9-afba-8a748564e12a,  
>> 4a988e3e-3434-4271-acd6-af2a1e30524c,  
>> cd874e96-63cf-41c9-8e8a-75f3223bfe9d,  
>> f8cabdbb-875a-480b-8b5e-4b5313c5fcbd,  
>> dc3256a7-ae23-4c2e-b375-55e2884e045d,  
>> 4da50521-aad0-48a4-9f79-858bbc2e6b89,  
>> 1d370c9e-250f-4733-8b8a-7b6f5c6e1b2b,  
>> 494ad6fd-1637-44b8-8d3a-1fa19681ba64,  
>> 7c05abfb-dba1-43c3-a8b1-af504762ec60,  
>> 5902c851-5275-41fd-89c4-cd6390c88670,  
>> 19c334eb-5661-4697-879d-1082571dfef8,  
>> c406028e-768e-404e-8417-40d2960c4ba3,  
>> a0b57685-e5dc-498c-99a4-33b1aef32632,  
>> 24be15dd-45f7-4980-b4f8-3176ab67e8f6,  
>> e213b903-107b-4465-8fe1-78b7b393d631,  
>> df981c08-148d-4266-9ea7-163168012968,  
>> 187cd54f-396b-4c3c-9bfc-9883ac37f556,  
>> f0b7b298-6432-477a-85a0-83e29e8c5380,  
>> 94ec7576-7a02-4c08-8739-4e0fc52a3d3a,  
>> 041975f5-990a-4792-b384-eded32966783,  
>> 01ea2812-5005-4152-af2e-2586bf65b4c6,  
>> aecba5d0-9d9b-4ab6-9018-62f5abb7b809], super=GridFutureAdapter  
>> [resFlag=0, res=null, startTime=1445974657836, endTime=0,  
>> ignoreInterrupts=false, lsnr=null, state=INIT]]]
>>
>>
>>
>> Then on the occasions when mapreduce jobs fail I will see one node  
>> with (it isn't always the same node)
>>
>>
>> [14:52:57,080][WARN  
>> ][grid-nio-worker-3-#135%null%][TcpCommunicationSpi] Closing NIO  
>> session because of unhandled exception [cls=class  
>> o.a.i.i.util.nio.GridNioException, msg=Connection timed out]
>> [14:52:59,123][WARN  
>> ][grid-nio-worker-3-#135%null%][TcpCommunicationSpi] Failed to  
>> process selector key (will close): GridSelectorNioSessionImpl  
>> [selectorIdx=3, queueSize=0,  
>> writeBuf=java.nio.DirectByteBuffer[pos=0 lim=32768 cap=32768],  
>> readBuf=java.nio.DirectByteBuffer[pos=0 lim=32768 cap=32768],  
>> recovery=GridNioRecoveryDescriptor [acked=3, resendCnt=0, rcvCnt=0,  
>> reserved=true, lastAck=0, nodeLeft=false, node=TcpDiscoveryNode  
>> [id=837785eb-24e0-496a-a0cc-f795b64b5929, addrs=[0:0:0:0:0:0:0:1%1,  
>> 10.148.0.81, 10.159.1.176, 127.0.0.1],  
>> sockAddrs=[/10.159.1.176:47500, /0:0:0:0:0:0:0:1%1:47500,  
>> r1i4n4.redacted.com/10.148.0.81:47500, /10.148.0.81:47500,  
>> /10.159.1.176:47500, /127.0.0.1:47500], discPort=47500, order=45,  
>> intOrder=45, lastExchangeTime=1445974625750, loc=false,  
>> ver=1.4.0#19691231-sha1:00000000, isClient=false], connected=true,  
>> connectCnt=1, queueLimit=5120], super=GridNioSessionImpl  
>> [locAddr=/10.159.1.112:46222, rmtAddr=/10.159.1.176:47100,  
>> createTime=1445974646591, closeTime=0, bytesSent=30217,  
>> bytesRcvd=9, sndSchedTime=1445975577912, lastSndTime=1445975577912,  
>> lastRcvTime=1445974655114, readsPaused=false,  
>> filterChain=FilterChain[filters=[GridNioCodecFilter  
>> [parser=o.a.i.i.util.nio.GridDirectParser@44de55ba,  
>> directMode=true], GridConnectionBytesVerifyFilter], accepted=false]]
>> [14:52:59,124][WARN  
>> ][grid-nio-worker-3-#135%null%][TcpCommunicationSpi] Closing NIO  
>> session because of unhandled exception [cls=class  
>> o.a.i.i.util.nio.GridNioException, msg=Connection timed out]
>> [14:53:00,105][WARN  
>> ][grid-nio-worker-3-#135%null%][TcpCommunicationSpi] Failed to  
>> process selector key (will close): GridSelectorNioSessionImpl  
>> [selectorIdx=3, queueSize=0,  
>> writeBuf=java.nio.DirectByteBuffer[pos=0 lim=32768 cap=32768],  
>> readBuf=java.nio.DirectByteBuffer[pos=0 lim=32768 cap=32768],  
>> recovery=GridNioRecoveryDescriptor [acked=0, resendCnt=0, rcvCnt=0,  
>> reserved=true, lastAck=0, nodeLeft=false, node=TcpDiscoveryNode  
>> [id=4426467e-b4b4-4912-baa1-d7cc839d9188, addrs=[0:0:0:0:0:0:0:1%1,  
>> 10.148.0.106, 10.159.1.201, 127.0.0.1],  
>> sockAddrs=[/10.159.1.201:47500, /0:0:0:0:0:0:0:1%1:47500,  
>> r1i5n11.redacted.com/10.148.0.106:47500, /10.148.0.106:47500,  
>> /10.159.1.201:47500, /127.0.0.1:47500], discPort=47500, order=57,  
>> intOrder=57, lastExchangeTime=1445974625790, loc=false,  
>> ver=1.4.0#19691231-sha1:00000000, isClient=false], connected=true,  
>> connectCnt=1, queueLimit=5120], super=GridNioSessionImpl  
>> [locAddr=/10.159.1.112:60869, rmtAddr=/10.159.1.201:47100,  
>> createTime=1445974654478, closeTime=0, bytesSent=22979,  
>> bytesRcvd=0, sndSchedTime=1445975577912, lastSndTime=1445975577912,  
>> lastRcvTime=1445974654478, readsPaused=false,  
>> filterChain=FilterChain[filters=[GridNioCodecFilter  
>> [parser=o.a.i.i.util.nio.GridDirectParser@44de55ba,  
>> directMode=true], GridConnectionBytesVerifyFilter], accepted=false]]
>> [14:53:00,105][WARN  
>> ][grid-nio-worker-3-#135%null%][TcpCommunicationSpi] Closing NIO  
>> session because of unhandled exception [cls=class  
>> o.a.i.i.util.nio.GridNioException, msg=Connection timed out]
>>
>>
>> I've tried adjusting the timeout settings further but haven't had  
>> much success.
>>
>> Here is what my config looks like, it is obviously heavily based  
>> off the hadoop example config.
>>
>>
>> <?xml version="1.0" encoding="UTF-8"?>
>> <beans  
>> ns1:schemaLocation="http://www.springframework.org/schema/beans  
>> http://www.springframework.org/schema/beans/spring-beans.xsd       
>> http://www.springframework.org/schema/util  
>> http://www.springframework.org/schema/util/spring-util.xsd"  
>> xmlns="http://www.springframework.org/schema/beans"  
>> xmlns:ns1="http://www.w3.org/2001/XMLSchema-instance">
>>  <description>
>>        Spring file for Ignite node configuration with IGFS and  
>> Apache Hadoop map-reduce support enabled.
>>        Ignite node will start with this configuration by default.
>>    </description>
>>  <bean  
>> class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer"  
>> id="propertyConfigurer">
>>    <property name="systemPropertiesModeName"  
>> value="SYSTEM_PROPERTIES_MODE_FALLBACK" />
>>    <property name="searchSystemEnvironment" value="true" />
>>  </bean>
>>  <bean abstract="true"  
>> class="org.apache.ignite.configuration.FileSystemConfiguration"  
>> id="igfsCfgBase">
>>    <property name="blockSize" value="#{128 * 1024}" />
>>    <property name="perNodeBatchSize" value="512" />
>>    <property name="perNodeParallelBatchCount" value="16" />
>>    <property name="prefetchBlocks" value="32" />
>>  </bean>
>>  <bean abstract="true"  
>> class="org.apache.ignite.configuration.CacheConfiguration"  
>> id="dataCacheCfgBase">
>>    <property name="cacheMode" value="PARTITIONED" />
>>    <property name="atomicityMode" value="TRANSACTIONAL" />
>>    <property name="writeSynchronizationMode" value="FULL_SYNC" />
>>    <property name="backups" value="0" />
>>    <property name="affinityMapper">
>>      <bean class="org.apache.ignite.igfs.IgfsGroupDataBlocksKeyMapper">
>>        <constructor-arg value="512" />
>>      </bean>
>>    </property>
>>    <property name="startSize" value="#{100*1024*1024}" />
>>    <property name="offHeapMaxMemory" value="0" />
>>  </bean>
>>  <bean abstract="true"  
>> class="org.apache.ignite.configuration.CacheConfiguration"  
>> id="metaCacheCfgBase">
>>    <property name="cacheMode" value="REPLICATED" />
>>    <property name="atomicityMode" value="TRANSACTIONAL" />
>>    <property name="writeSynchronizationMode" value="FULL_SYNC" />
>>  </bean>
>>  <bean class="org.apache.ignite.configuration.IgniteConfiguration"  
>> id="grid.cfg">
>>    <property name="failureDetectionTimeout" value="3000" />
>>    <property name="hadoopConfiguration">
>>      <bean class="org.apache.ignite.configuration.HadoopConfiguration">
>>        <property name="finishedJobInfoTtl" value="30000" />
>>      </bean>
>>    </property>
>>    <property name="connectorConfiguration">
>>      <bean class="org.apache.ignite.configuration.ConnectorConfiguration">
>>        <property name="port" value="11211" />
>>      </bean>
>>    </property>
>>    <property name="fileSystemConfiguration">
>>      <list>
>>        <bean  
>> class="org.apache.ignite.configuration.FileSystemConfiguration"  
>> parent="igfsCfgBase">
>>          <property name="name" value="igfs" />
>>          <property name="metaCacheName" value="igfs-meta" />
>>          <property name="dataCacheName" value="igfs-data" />
>>          <property name="ipcEndpointConfiguration">
>>            <bean  
>> class="org.apache.ignite.igfs.IgfsIpcEndpointConfiguration">
>>              <property name="type" value="TCP" />
>>              <property name="host" value="r1i0n12" />
>>              <property name="port" value="10500" />
>>            </bean>
>>          </property>
>>        </bean>
>>      </list>
>>    </property>
>>    <property name="cacheConfiguration">
>>      <list>
>>        <bean  
>> class="org.apache.ignite.configuration.CacheConfiguration"  
>> parent="metaCacheCfgBase">
>>          <property name="name" value="igfs-meta" />
>>        </bean>
>>        <bean  
>> class="org.apache.ignite.configuration.CacheConfiguration"  
>> parent="dataCacheCfgBase">
>>          <property name="name" value="igfs-data" />
>>        </bean>
>>      </list>
>>    </property>
>>    <property name="includeEventTypes">
>>      <list>
>>        <ns2:constant  
>> static-field="org.apache.ignite.events.EventType.EVT_TASK_FAILED"  
>> xmlns:ns2="http://www.springframework.org/schema/util" />
>>        <ns2:constant  
>> static-field="org.apache.ignite.events.EventType.EVT_TASK_FINISHED"  
>> xmlns:ns2="http://www.springframework.org/schema/util" />
>>        <ns2:constant  
>> static-field="org.apache.ignite.events.EventType.EVT_JOB_MAPPED"  
>> xmlns:ns2="http://www.springframework.org/schema/util" />
>>      </list>
>>    </property>
>>    <property name="discoverySpi">
>>      <bean class="org.apache.ignite.spi.discovery.tcp.TcpDiscoverySpi">
>>        <property name="ipFinder">
>>          <bean  
>> class="org.apache.ignite.spi.discovery.tcp.ipfinder.vm.TcpDiscoveryVmIpFinder">
>>            <property name="addresses">
>>              <list>
>>                <value>r1i0n12:47500</value>
>>              </list>
>>            </property>
>>          </bean>
>>        </property>
>>      </bean>
>>    </property>
>>  </bean>
>> </beans>
>>
>>
>>
>> Quoting Denis Magda <dmagda@gridgain.com>:
>>
>>> Hi Joe,
>>>
>>> Great!
>>>
>>> Please see below
>>>
>>> On 10/27/2015 9:37 AM, dev@eiler.net wrote:
>>>> Reducing the port range (to a single port) and lowering the  
>>>> IgniteConfiguration.setFailureDetectionTimeout to 1000 helped  
>>>> speed up everybody joining the topology and I was able to get a  
>>>> pi estimator run on 64 nodes.
>>>>
>>>
>>> I suspect that the reason was in the number of ports specified in  
>>> the range.  By some reason it takes significant time to get a  
>>> response from TCP/IP stack that a connection can't be established  
>>> on a particular port number.
>>> Please try to reduce the port range, lower  
>>> TcpDiscoverySpi.setNetworkTimeout, keep  
>>> IgniteConfiguration.setFailureDetectionTimeout's default value and  
>>> share results with us.
>>>
>>>> Thanks again for the help, I'm over the current hurdle.
>>>> Joe
>>>>
>>>>
>>>> Quoting dev@eiler.net:
>>>>
>>>>> Thanks for the quick response Denis.
>>>>>
>>>>> I did a port range of 10 ports. I'll take a look at the  
>>>>> failureDetectionTimeout and networkTimeout.
>>>>>
>>>>> Side question: Is there an easy way to map between the  
>>>>> programmatic API and the spring XML properties? For instance I  
>>>>> was trying to find the correct xml incantation for  
>>>>> TcpDiscoverySpi.setMaxMissedHeartbeats(int) and I might have a  
>>>>> similar issue finding  
>>>>> IgniteConfiguration.setFailureDetectionTimeout(long). It seems  
>>>>> like I can usually drop the set and adjust capitalization  
>>>>> (setFooBar() == <property name="fooBar")
>>>>>
>>> Yes, your understanding is correct.
>>>>> Please pardon my ignorance on terminology:
>>>>> Are the nodes I run ignite.sh on considered server nodes or  
>>>>> cluster nodes (I would have thought they are the same)
>>>>>
>>> Actually we have a notion of server and client nodes. This page  
>>> contains extensive information on the type of nodes:
>>> https://apacheignite.readme.io/docs/clients-vs-servers
>>>
>>> A cluster node is just a server or client node.
>>>
>>> Regards,
>>> Denis
>>>>> Thanks,
>>>>> Joe
>>>>>
>>>>> Quoting Denis Magda <dmagda@gridgain.com>:
>>>>>
>>>>>> Hi Joe,
>>>>>>
>>>>>> How big is a port range, that you specified in your discovery  
>>>>>> configuration, for a every single node?
>>>>>> Please take into account that the discovery may iterate over  
>>>>>> every port from the range before one node connects to the other 

>>>>>> and depending on the TCP related settings of your network it  
>>>>>> may take significant time before the cluster is assembled.
>>>>>>
>>>>>> Here I would recommend you to reduce the port range as much as  
>>>>>> possible and to play with the following network related  
>>>>>> parameters:
>>>>>> - Try to use the failure detection timeout instead of setting  
>>>>>> socket, ack and many other timeouts explicitly  
>>>>>> (https://apacheignite.readme.io/docs/cluster-config#failure-detection-timeout);
>>>>>> - Try to play with TcpDiscoverySpi.networkTimeout because this  
>>>>>> timeout is considered during the time when a cluster node tries 

>>>>>> to join a cluster.
>>>>>>
>>>>>> In order to help you with the hanging compute tasks and to give 

>>>>>> you more specific recommendations regarding the slow join  
>>>>>> process please provide us with the following:
>>>>>> - config files for server and cluster nodes;
>>>>>> - log files from all the nodes. Please start the nodes with  
>>>>>> -DIGNITE_QUIET=false virtual machine property. If you start the 

>>>>>> nodes using ignite.sh/bat then just pass '-v' as an argument to 

>>>>>> the script.
>>>>>> - thread dumps for the nodes that are hanging waiting for the  
>>>>>> compute tasks to be completed.
>>>>>>
>>>>>> Regards,
>>>>>> Denis
>>>>>>
>>>>>> On 10/26/2015 6:56 AM, dev@eiler.net wrote:
>>>>>>> Hi all,
>>>>>>>
>>>>>>> I have been experimenting with ignite and have run into a  
>>>>>>> problem scaling up to larger clusters.
>>>>>>>
>>>>>>> I am playing with only two different use cases, 1) a Hadoop 

>>>>>>> MapReduce accelerator 2) an in memory data grid (no secondary
 
>>>>>>> file system) being accessed by frameworks using the HDFS
>>>>>>>
>>>>>>> Everything works fine with a smaller cluster (8 nodes) but  
>>>>>>> with a larger cluster (64 nodes) it takes a couple of minutes
 
>>>>>>> for all the nodes to register with the cluster(which would be
 
>>>>>>> ok) and mapreduce jobs just hang and never return.
>>>>>>>
>>>>>>> I've compiled the latest Ignite 1.4 (with  
>>>>>>> ignite.edition=hadoop) from source, and am using it with  
>>>>>>> Hadoop 2.7.1 just trying to run things like the pi estimator
 
>>>>>>> and wordcount examples.
>>>>>>>
>>>>>>> I started with the config/hadoop/default-config.xml
>>>>>>>
>>>>>>> I can't use multicast so I've configured it to use static IP
 
>>>>>>> based discovery with just a single node/port range.
>>>>>>>
>>>>>>> I've increased the heartbeat frequency to 10000 and that  
>>>>>>> seemed to help make things more stable once all the nodes do
 
>>>>>>> join the cluster. I've also played with increasing both the 

>>>>>>> socket timeout and the ack timeout but that seemed to just  
>>>>>>> make it take longer for nodes to attempt to join the cluster
 
>>>>>>> after a failed attempt.
>>>>>>>
>>>>>>> I have access to a couple of different clusters, we allocate
 
>>>>>>> resources with slurm so I get a piece of a cluster to play  
>>>>>>> with (hence the no-multicast restriction). The nodes all have
 
>>>>>>> fast networks (FDR InfiniBand) and a decent amount of memory
 
>>>>>>> (64GB-128GB) but no local storage (or swap space).
>>>>>>>
>>>>>>> As mentioned earlier, I disable the secondaryFilesystem.
>>>>>>>
>>>>>>> Any advice/hints/example xml configs would be extremely welcome.
>>>>>>>
>>>>>>>
>>>>>>> I also haven't been seeing the expected performance using the
 
>>>>>>> hdfs api to access ignite. I've tried both using the hdfs cli
 
>>>>>>> to do some simple timings of put/get and a little java program
 
>>>>>>> that writes then reads a file.  Even with small files (500MB)
 
>>>>>>> that should be kept completely in a single node, I only see 

>>>>>>> about 250MB/s for writes and reads are much slower than that
 
>>>>>>> (4x to 10x).  The writes are better than hdfs (our hdfs is  
>>>>>>> backed with pretty poor storage) but reads are much slower. 

>>>>>>> Now I haven't tried scaling this at all but with an 8 node  
>>>>>>> ignite cluster and a single "client" access a single file I 

>>>>>>> would hope for something closer to memory speeds. (if you  
>>>>>>> would like me to split this into another message to the list
 
>>>>>>> just let me know, I'm assuming the cause it the same---I  
>>>>>>> missed a required config setting ;-) )
>>>>>>>
>>>>>>> Thanks in advance for any help,
>>>>>>> Joe
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>
>>>>
>>>>
>>
>>
>>




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