It's pretty simple. I've added newbie label for it, anyone can pick it up.
2017-05-17 21:03 GMT+03:00 Denis Magda :
> Alex, thanks.
>
> Can the ticket be resolved in 2.1?
>
>
> On Wednesday, May 17, 2017, Alexey Goncharuk
> wrote:
>
>> Created a
Alex, thanks.
Can the ticket be resolved in 2.1?
On Wednesday, May 17, 2017, Alexey Goncharuk
wrote:
> Created a follow-up UX ticket: https://issues.apache.
> org/jira/browse/IGNITE-5248
>
> 2017-05-17 19:20 GMT+03:00 Sergey Chugunov
Created a follow-up UX ticket:
https://issues.apache.org/jira/browse/IGNITE-5248
2017-05-17 19:20 GMT+03:00 Sergey Chugunov :
> Ajay,
>
> I managed to reproduce your issue. As I can see from logs you're starting
> Ignite using 32-bit JVM.
>
> To fix your issue just use
Ajay,
I managed to reproduce your issue. As I can see from logs you're starting
Ignite using 32-bit JVM.
To fix your issue just use 64-bit JVM or decrease initial/maxSize settings
in memory configuration to something below 3 Gigs.
Thanks,
Sergey.
On Wed, May 17, 2017 at 6:40 PM, Andrey
Thx Ivan ...
Thr is a parameter for uri for class ignitehadoopigfssecondaryfilesystem in
the config which is for specifying namenode host and port .. in case of
MapR shud we leave it empty then?
On May 17, 2017 8:32 AM, "Ivan Veselovsky"
wrote:
> Hi, Pranay,
> IGFS
Hi Ajay,
Ignite allocate memory by chunks. The first chunk is allocating on Ignite
start and its size equal to initialSize. Other chunks allocated on demand
and its size <=256M.
Seems, your system can't allocate 4Gb memory as single chunk.
What is /proc/sys/vm/overcommit_memory value? Try to set
Hi, Pranay,
IGFS can run upon any file system that can be represented in terms of Hadoop
file system API (namely as a org.apache.hadoop.fs.FileSystem).
MapR file system also implements Hadoop file system API , namely, it has
com.mapr.fs.MapRFileSystem .
So, IGFS can successfully run upon.
Hi,
I'm trying to enlist an Ignite transaction in a different JVM with the
Transaction Manager for Jboss 7 EAP JVM up and running for write-through
cache.
My transaction configuration is shown below which I found from a previous
thread. I know this is configured correctly because I see the
Hi Gordon.
Client joining the cluster should not cause the server nodes slowdown.
Did you observe such behavior?
If that's the case, kindly take a thread dump for the node that is affected
by slowdown.
Kind regards,
Alex.
On Fri, May 12, 2017 at 8:36 AM, gordon.reid@ninemilefinancial [via
Hi,
We are having trouble with our Ignite Cluster at start-up.
If we attempt to start, say, 10 Nodes simultaneously, it appears that we get
into a race condition and we get more than one Cluster created.
We'd love to figure out a way around this.
Our workaround today is to start 1 Node. Then
Hi,
you should get data streamer using cache name. You example should be
modified like this:
Ignition.setClientMode(true);
try (Ignite ignite =
Hi,
you can use "select count(*) from TableName" query. In order to limit
query by particular local node you should set local flag to true and
execute query on this node. In other words you should do something
like this on your node:
IgniteCache cache = ignite.getOrCreateCache(CacheName); //
Hi,
You can provide IgnitePredicate instance to your CacheConfiguration.
It will allow you create cache only on nodes that satisfy this
predicate implementation. But cache itself will be available from all
nodes that are want operate with data in this cache.
On Tue, May 16, 2017 at 9:09 PM, Libo
Take a look here.
http://apache-ignite-users.70518.x6.nabble.com/Kindly-tell-me-where-to-find-these-jar-files-td12649.html
Here I posted some code.
Humphrey
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Hi,
I have question related to swap memory.
If we have set setSwapEnabled to true,
a. When will be the data is written to disc?
b. If by default data is written to disc only when free space is not
available in RAM, then can we limit the usage of RAM, lets say write to disc
when 80% of RAM is
Hi Ilya,
To my mind in this case it's not a problem of Peer Class Loading (PCL).
Please note if you disable PCL in Ignite Configuration, test will fail
anyway.
In this test LocatorBiPredicate is taken by Jetty from the parent class
loader (test launcher class loader) and cast to IgnitePredicate
Hi everyone,
I am learning Ignite, and would like to know if this is possible. Whenever a
new entry is pushed to cache, I want to confirm it by looking the count,
just like `numrows` of an sql table. Is this possible? I am trying to build
a stub, which takes cache name as input and return the
Thank you so much.. It worked.. :)
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Hi,
Note your are trying to use development mode in production!
To bind development web server to all interfaces on your linux machine you
need fix following file:
modules/web-console/frontend/gulpfile.babel.js/webpack/environments/development.js
like this
Please try adding this property to your JVM
-Djava.net.preferIPv4Stack=true
--Yakov
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Hi all, i am trying this;
I am successfully getting
but, before that, I am getting error;
Somebody kindly tell me why this is happening and how to fix this?
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Hi Dmitry!
Do I understand correct that GridDeploymentClassLoader is always on server
used if peer classloading is enabled?
I've did not reproduce the re-deployment issue, but maybe have found
another, which is related to deployment.
Here is the code:
Generally, you can't add new node while holding a lock. If you're holding
locks for long period of time, I would recommend you to revisit the
architecture. In any case, make sure that you properly release all the
locks. Also I think you should to upgrade to the latest version, I believe
there were
Hi,
I am trying to fetch from Kafka topic to Ignite cache. I am a beginner and
created a code for the same. I don't know how to set Cache name. Also,
kindly review my code that is there any mistakes, which will be really
helpful for me to get started with these.
Thanks in advance..
Hi Denis,
Please find "top" snapshot.
top - 12:23:56 up 31 days, 20:28, 5 users, load average: 10.60, 9.40, 7.31
Tasks: 406 total, 1 running, 405 sleeping, 0 stopped, 0 zombie
Cpu(s): 42.1%us, 2.2%sy, 0.0%ni, 53.2%id, 2.2%wa, 0.0%hi, 0.4%si,
0.0%st
Mem: 32865584k total, 31864932k
Val,
It doesn't look like a memory issue.We are using explicit locking (lock
entry , do processing and then unlock).Under high load, When we bring down
one of the Ignite Server nodes and then again add it back to the cluster,We
are getting this issue.We observed the exceptions like Failed to wait
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