Hi,
I am using Oracle database. I want to use write behind approach to update
the tables when the cache associated with that table is updated.
1. If I do colocate computing in my distributed transaction will it also
commit/rollback the data from oracle table?
2. I want to start multiple ignite n
I ran your code and connected to Ignite through dBeaver and it shows single
DOG table. I think it's some glitch with your dBeaver instance. In general,
you can run H2 Console by enabling IGNITE_H2_DEBUG_CONSOLE JVM parameter
and check over there.
FYI, Ignite supports C++[1] and .NET[2] platforms,
Found the problem - this issue was caused by having
“org.springframework.boot:spring-boot-devtools” in the project dependencies.
Things worked as expected once I removed this devtools dependency.
Thanks,
NK
From: Michael Cherkasov [mailto:michael.cherka...@gmail.com]
Sent: Thursday, February 8,
In actuality I rewrote the tests and removed the
AbstractTransactionalJUnit4SpringContextTests super class and the
transactions worked. I also rewrote the the test as an integration test on a
tomcat server and confirmed that the transaction managers worked.
I did see the same javadoc comments that
So this seems to be the closest I can get to something that looks like DML –
this does work, and the only odd thing is that table DOG shows up twice in
dBeaver, which I can’t quite figure out. Is this the right way to go about
getting data in? Sorry, I’m just getting started with Ignite and my
Hi Mike,
As of today Ignite DML does not support transactions and every DML
statement is executed as atomic (Igniters, please correct me if I'm wrong).
But still you can use DataStreamer[1] to improve data loading. Or you can
use Ignite's Cache API with batch operations like putAll.
[1] https://
Colin,
Unfortunately this is not possible at the moment, you need to restart nodes
to change service implementation. There is a feature request for improving
this: https://issues.apache.org/jira/browse/IGNITE-6069
-Val
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No, at k8s I'm using partitioned. Currently I'm testing case with turned off
onheap. I don't know why but it doesn't work for the first time when it's
called but when I call this few minutes later it works.
Maybe it's because of Atomic mode?
--
Sent from: http://apache-ignite-users.70518.x6.na
Why are using local cache instead of partitioned in dev? If you have local
caches, then you will get behavior exactly like you described - you will
remove from one node, but not remove on others. Can this be the case?
-Val
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Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Is it possible to stream data into a table created by a query? For example,
consider the following modified example. If I had a Person object, how would I
replace the insert loop to improve speed?
Thanks,
Mike
import org.apache.ignite.Ignite;
import org.apache.ignite.IgniteCache;
import org.apa
I'm interested in using Ignite services as microservices and have seen Denis'
blog posts on the topic. In my case, I also have a requirement to perform
computations with data affinity. My idea is to call a node singleton service
locally from a distributed compute task.
The advantage of using the s
Hi. I have k8s cluster with one ignite server and few services as clients.
I have problem with evicting values using spring annotations.
Apps have cache "example-user" and when one service evict by key another one
still have values.
There you can find cache config and example repo for spring
htt
Hi Vinokurov,
I was thinking to use Java ExecutoreService to submit the task (task to
invoke CacheStore.loadCache method). Is it ok to use ExecutorService or
ignite provides some way to submit the task?
Thanks,
Prasad
On Fri, Feb 9, 2018 at 6:04 PM, Vinokurov Pavel
wrote:
> Hi Prasad,
>
> With
Hi Prasad,
Within your implementation of CacheStore.loadCacheYou you could use
multiple threads to retrieve rows by batches.
Note that each thread should use different jdbc connection.
2018-02-09 13:57 GMT+03:00 Prasad Bhalerao :
> Hi,
>
> I have multiple oracle tables with more 50 million rows.
Hi,
I have multiple oracle tables with more 50 million rows. I want to load
those table in cache.To load the cache I am using CacheStore.loadCache
method.
Is there anyway where I can load a single table in multithreaded way to
improve the loading performance?
What I actually want to do is,
1) Get
Hi Rajesh,
If you want to split a single cluster across two data centers, this will
lead a performance penalty due to large network latency.
If you asked about data replication between clusters via WAN, Apache Ignite
doesn't support this at the moment. I think there are two ways to do: make
own i
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