When the xml configuration file of the ignite cluster changes, the cluster
stops, and the cluster needs to be restarted. After the startup, because the
cluster is configured with the baseline, the cluster is automatically
activated after the restart, but the client connection will be, prompting
dea
Also some details on the cache config:
atomicityMode=TRANSACTIONAL
cacheMode = PARTITIONED
backups=1
.. the rest are default. Cache value types are binary objects.
So here's a simpler question, if my client node does a cache.put(key=String,
value=BinaryObject) 100 times on the same key, when are
Hello.Thanks for reply.
It works for me.
ilya.kasnacheev wrote
> Hello!
>
> Have you tried RANDOM_UUID()?
>
> Regards,
> --
> Ilya Kasnacheev
>
>
> пн, 15 апр. 2019 г. в 15:02, yangjiajun <
> 1371549332@
>>:
>
>> Hello!
>>
>> Is there any sql functions to generate uuids?
>>
>>
>>
>> --
>
So I've done a heap dump and recorded heap metrics while running my
DataStreamers and the heap doesn't appear to be the problem here. Ignite
operates normally for several hours without the heap size ever reaching its
max. My durable memory also seems to be behaving as expected. While looking
at the
I'm trying to selectively initialize pieces of my IgniteCache that is
backed by a postgres database. When I use loadCache() with no arguments,
the entire cache loads fine. However, the table I'm loading is very large,
and I want to use an IgniteBiPredicate to only load the pieces I care
about.
You might used the method org.apache.ignite.IgniteCache#withKeepBinary [1]
that's why your object wasn't deserialised.
[1]
https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCache.html#withKeepBinary--
Max.
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It hard to tell from your explanation what is the exact problem. Is it the
client which cannot connect to the cluster while it is the middle of the
activation process? Anyway, could you share the logs from all nodes (client
logs as well)? It will help to understand the problem.
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Sent from: htt
Hi, could you share a reproducer of your problem? We are missing a lot of
information here. The configuration of your nodes, cache configurations,
what API you use to query and update the data.
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Hi, check out this article:
https://apacheignite-sql.readme.io/docs/distributed-joins#section-non-collocated-joins
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I tried setting storeKeepBinary to both "true" and "false" in my xml config
for the cache, neither made a difference. Is this the right way to set it?
Before this post, I wasn't setting it at all, so I'm assuming it was on
whatever the default value is.
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Hi. Thanks for answer.
But it doesn't explain my case
Le mer. 17 avr. 2019 à 16:56, Maxim.Pudov a écrit :
> Hi, check out this article:
>
> https://apacheignite-sql.readme.io/docs/distributed-joins#section-non-collocated-joins
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.c
This is the stacktrace for the exception:
Caused by: java.lang.ClassCastException:
org.apache.ignite.internal.binary.BinaryObjectImpl cannot be cast to
com.sms.Foo
at
com.sms.flexnet.maintenance.data.IgniteFooDAO$3.apply(IgniteFooDAO.java:164)
at
org.apache.ignite.internal.processo
I seem to have found the answer. Changing the storeKeepBinary field didn't
seem to help, but I was able to change things by going to a generic
IgniteBiPredicate and casting inside the apply method.
public void initFoo(int key){
IgniteCache myCache = getCache(Foo.class);
if (myCache != null)
Sorry for short answer.
Document just say that if the join condition is not pk or affinity, it
broadcast request instead of unicast.
In my case, i use indexed columns, but I receive exception.
Regards
Le mer. 17 avr. 2019 à 18:36, yann Blazart a
écrit :
> Hi. Thanks for answer.
>
> But it doe
Hi Luqman,
Does your plugin just detect a segmentation occurrence? Or does it also
resolve the split-brain condition?
Thanks,
Jose
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