Cache,table and index created through QueryEntities.
like below
cacheCfg = new CacheConfiguration
{
...
QueryEntities = queryList,
...
};
here is the code i am executing
public static void main( String[] args ) throws ClassNotFoundException,
SQLExcepti
Hi,
Looks like the config, code and exception wasn't inserted, I don't see
anything, can you check this?
Thanks,
Evgenii
пт, 10 янв. 2020 г. в 09:25, siva :
> Hi,
> I am using Ignite v2.7.6 ,JDBC PrepareStatement to execute insert query on
> IgniteThin Driver.
>
> Cache,table and index created
Hi,
I am using Ignite v2.7.6 ,JDBC PrepareStatement to execute insert query on
IgniteThin Driver.
Cache,table and index created through QueryEntities.
like below
here is the code i am executing
here is an Exception:
--
Sent from: http://apache-ignite-users.70518.x6.nabbl
Hi,
Please share full logs from all nodes in the cluster, including clients.
Thanks,
Evgenii
ср, 8 янв. 2020 г. в 16:07, vijay.bhatt :
> Hi,
>
> We have a cluster with 4 server nodes and 4 client nodes. Each VM is
> running
> one server and one client node in their own JVMs.
>
> *We are getting
Hello!
If no rebalance is going on, then the answer is yes.
Regards,
--
Ilya Kasnacheev
пт, 10 янв. 2020 г. в 13:35, djm132 :
> Is localEntries(CachePeekMode.PRIMARY) guarantees that keys will not
> overlap
> for partitioned cache?
>
> Thanks.
>
>
>
> --
> Sent from: http://apache-ignite-user
Thanks Saikat. Please let me know if you find anything. I'll try to debug
on my side too.
Does anyone have a working example for using socket streamer?
On Thu, Jan 9, 2020 at 9:07 PM Saikat Maitra
wrote:
> Hi,
>
> I tried to reproduce the issue in local in debug mode and I can see that
> after
Is localEntries(CachePeekMode.PRIMARY) guarantees that keys will not overlap
for partitioned cache?
Thanks.
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Thanks Saikat for the feedback.
But if I use the overwrite option set to true to avoid duplicates in case I
have to resend the entire payload in case of a streamer node failure, then
I won't
get optimal performance, right?
What's the best practice for dealing with data streamer node failures? Are
I am not allocating large memory. I just want to allocate at least 2gb of
RAM from available 22GB free space.
I will try with 64-bit JVM.
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Hello!
Please ensure that you are using 64 bit JVM. You may not be able to
allocate large chunks of memory when using 32-bit VM:
>>> OS name: Windows Server 2008 R2 6.1 *x86*
Regards,
--
Ilya Kasnacheev
пт, 10 янв. 2020 г. в 08:45, Tunas :
> Can someone please give me some input. I am stuck
Hello!
Yes, it should be perfectly safe. Data Streamer does batching, thus the
speed up. Please note that Data Streamer batches may lock keys, which means
you should be careful with doing batch operations in parallel to avoid
deadlock.
Regards,
--
Ilya Kasnacheev
пт, 10 янв. 2020 г. в 01:15, d
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