Alexei, what do you think about the object size and the affinity code?
Thanks,
Amit.
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Hi
You should copy directory named *ignite-rest-http* from *libs/optional/* to
*libs/* and restart node
On Fri, Jun 3, 2016 at 9:08 PM, M Singh wrote:
> Hi Folks:
>
> I have downloaded the apache-ignite-fabric-1.6.0-bin.zip file an have
> started it with the ignite.sh script.
>
> However, I am
Hi Folks:
I have downloaded the apache-ignite-fabric-1.6.0-bin.zip file an have started
it with the ignite.sh script.
However, I am not able to connect to the rest service url
(http://localhost:8080/ignite?cmd=version) - it returns an empty response. I
think that rest service is running on an
Ignite _does_ use a separate thread pool to persist data in write-behind
mode, this is the essential difference between write-through and
write-behind. However, if your cache load rate is significantly higher than
the database insert rate, the write queue will grow faster than background
threads ca
I understood this perfectly.
What I mean is :-
Shouldnt the write behind use a separete thread pool so that slow write
behind process does not impact the whole grid ?
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Hi I want some basic ideas.
In ignite with mostly insert heavy work load, does adding nodes increase
transaction throughput or decrease it?
Assuming that the caches are PARTIONED with Primary Sync.
I believe one of the important distinctions between ignite and RDBMS should
be that Ignite should
Thanks Alexey for the answer.
On Friday, June 3, 2016 9:36 AM, Alexey Goncharuk
wrote:
Hi,
Ignite client automatically checks the partition counter and filters out
duplicate events, you do not need to do it manually to get rid of duplicates.
However, starting from Ignite 1.6 update co
Hi,
Ignite client automatically checks the partition counter and filters out
duplicate events, you do not need to do it manually to get rid of
duplicates. However, starting from Ignite 1.6 update counter is available
through CacheQueryEvent API.
2016-06-03 5:23 GMT-07:00 M Singh :
> Hi Folks:
>
Hi Guys,
As far as I understand, yes, this is going to work as long as all necessary
user Java classes are available for the C++ node.
Best Regards,
Igor
On Fri, Jun 3, 2016 at 3:53 PM, Denis Magda wrote:
> Hi Graham,
>
> You can specify a Java-based implementation of a persistent storage in
>
Hi Daniel,
Actually a failure of one machine shouldn’t lead to the whole cluster shutdown
unless your application code was executed on those nodes as well and killed
other nodes due to high GC pauses or some other reason.
My first suggestion is to tune garbage collection appropriately:
https://
Hi Graham,
You can specify a Java-based implementation of a persistent storage in Spring
XML configuration of Ignite and start a C++ node with this configuration. After
that the data that is stored on C++ node should be persisted as well.
Igor Sapego, please correct me if I’m wrong.
—
Denis
>
Hi Binti,
I would suggest you giving a try to Ignite 1.6.0 that has been released
recently. The release incorporates tons of the fixes and the issue you’re
talking might have been already fixed there.
If the issue is still reproduced on 1.6.0 please open a JIRA ticket posting
details and a cod
Hi Nick,
I would keep the names of all the topics in a replicated cache. Every server
and client will have access to it and can retrieve all the topics' names stored
there and subscribe for them after that.
Does this work for you?
—
Denis
> On Jun 3, 2016, at 3:49 AM, nickg wrote:
>
> Hi al
Don’t think that it will be easy track back all the fixes that have been done
since that time.
Actually both versions are binary compatible, so everything should work fine
for you after you switch to 1.6.0.
Also you can write a test that proves that the issue exists in 1.4.0 and fixed
in 1.6.0
Hi Folks:
I have a question about once only event delivery for continuous queries.
The document (https://apacheignite.readme.io/docs/continuous-queries) indicates
that there is a per partition update counter which is sent to the client along
with the change notification. I checked the CacheEnt
As I explained in the situation when the write-behind queue is full a Thread
that updates a cache and propagates the changes into the write-behind store can
be used to flush the write-behind queue since the queue is full. This situation
can affect the performance especially if this happens too o
Danis,
Thanks. I am trying that.
However shouldnt the write behinds not impact the GRID performance at all.
Since we are writing in write behin dmode to avoid the cost of slow disk IO.
I understand that theres a limit, but shouldnt this thread pool be different
if technically possible, allowing
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