Hi
I am using AccessedExpiryPolicy in my cache setup. I am setting the data in
cache using the usual ‘put ‘ method but I am retrieving the data using
SqlFieldsQuery. In this setup the expiration policy only considers the time of
data creation and hence the data gets expired after the time from
I ran into this issue as well.
I'm running tests on a six node Ignite node cluster, the data load stuck
after 1 billion data is ingested.
Can someone take a look at this issue please?
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I'm also reviving a mothballed GridGain system that used a @GridUserResource
- moving from Java 6/GridGain 3 to Java 1.8 / Ignite 2.4.0+
To replace it, I'm doing the following:
- Use a LifeCycleBean that populates the nodeLocalMap before startup.
- the objects placed in the nodeLocalMap are
Hi,
I would like to understand how SQL queries are executed on Ignite Server
Nodes. Each Ignite Server Node has some number of primary partitions it is
responsible for. When a query is sent, let' say through JDBC interface, this
query is routed to all the server nodes where data resides. So the qu
Igniters,
With the help of Stanislav Lukyanov and Ivan Rakov, we could make our
baseline topology documentation much better and vivid. Check up the new
sections that did a better job explaining the topology, cover common usage
scenarious and explain how to trigger the rebalancing programmatically
Lost source codes...
IgniteInternalFuture commitTxAsync(final
GridNearTxLocal tx) {
FutureHolder holder = lastFut.get();
holder.lock();
try {
IgniteInternalFuture fut = holder.future();
if (fut != null && !fut.isDone()) {
Ignit
We've documented your scenario and many others. Please check up this
documentation section:
https://apacheignite.readme.io/v2.4/docs/cluster-activation#section-usage-scenarios
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Hi!
Ignite 2.3, Maximum permit count exceeded on Semaphore...
GridCacheAdapter.commitTxAsync():
But saveFuture() don't call acquire, only release:
May be need *retry = true*?
Alexander
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Are cache interceptors an internal Ignite construct not available in the
Java client?
*From:* Pavel Tupitsyn [mailto:ptupit...@apache.org]
*Sent:* Friday, May 18, 2018 1:53 AM
*To:* user@ignite.apache.org
*Subject:* Re: Using a cache as an affinity co-located processing buffer in
Ignite.Net
C
Hi,
I ran into a situation where I have a client running, all server nodes are
restarted, the client reconnects as expected, but then after creating a new
IgniteStreamer all attempts to send data fail due to a
ClusterTopologyCheckedException. It appears the streamer is attempting to
send data to a
I am using ignite to store different model classes which inherit from the
same interface on a single ignite cache. The problem that I am facing is
with creating polymorphic queries.
Let’s say I have a FinacialSecurity interface with different implementations
Bond, CorporateBond, Swap, GovermentBon
Thanks Ilya, but I don't have any code running on the Ignite servers other
than the Ignite process. I am connecting with the SQL client DBeaver to run
my query and running DBeaver on a separate machine.
Are there any adjustments I can make on the Ignite server to insure that an
arbitrary user que
Got it, makes sense. Thanks!
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Hello David!
Yes, I think that should be possible to implement. However, when a node
fails there would be a massive backlog of rebalancing on just two nodes,
and it might cause a problem on its own. Random placement guarantees that
rebalancings are placed evenly in case of node failure
Regards,
We built a cluster with 8 nodes using Ignite persistence and 1 backup, and
had two nodes fail at different times, the first being storage did not get
mounted and ran out of space early, and the second an SSD failed. There
are some things that we could have done better, but this event brings up
th
Hello!
Yes, SELECT * FROM cache; will cause problems for you, unless you are using
lazy=true, which isn't default.
However, if you're using lazy=true, you should probably search for memory
leaks in your own code (such as trying to keep all results in memory at the
same time instead of iterating).
The query is just:
select * from table1;
My understanding was that 'lazy=false' is the default. Regardless of
whether I set 'lazy=true' or explicitly set 'lazy=false' in my jdbc driver
settings then I see the same behavior:
Terminating due to java.lang.OutOfMemoryError: Java heap space
It was
Hi guys,
I configured Ignite user/password authentication by adding custom plugin.
It works fine in server/client nodes and visor but I can't find any auth
support in control.bat
I checked it's source code and don't see any place where I can provide
credentials.
Should I write my own control tool
Cache interceptors are not available in Ignite.NET and there are no plans
to add them.
On Tue, May 15, 2018 at 10:37 PM, Raymond Wilson wrote:
> Hi Dmitriy,
>
>
>
> My question regarding cache interceptor availability in .Net is still
> outstanding.
>
>
>
> I have working code using a continuous
Hello!
Since we don't seem to have much experience in running YARN here, can you
please elaborate on this problem? Is the number of consumed resources wrong
or are resources actually get consumed by Ignite?
BTW, if you plan to store data inside Ignite, you should also set
IGNITE_MEMORY_OVERHEAD_P
Hello!
I think that, foremost, you should share your query with us. Have you tried
'lazy=false' BTW?
Regards,
--
Ilya Kasnacheev
2018-05-16 19:34 GMT+03:00 engrdean :
> I am using ignite with a native persistence and loading ~60k rows into a
> new
> cache via the jdbc driver. When I attempt
Hi,
Ignite-yarn[Ignition] uses almost all memory and vcores available in YARN
cluster. The allocated memory to the Ignition server was 40GB and 16 VCores.
*When we checked the actual usage with yarn top command the Ignition server
is using 380 GB and 140 VCores!!! * When we checked the cache, it
Nick,
*TcpDiscoveryMetricsUpdateMessage* (aka heartbeats) are processed in the
discovery thread, but not the exchange.
So, if your *cancel() *method is hanging, then an exchange won't be able to
proceed, but discovery will work fine.
Hanging deactivation is not a pleasant thing, but I think, this
Hi,
When your data in back store has been changed, you should clear cache to
force ignite forget outdated data.
Yes cache.clear() will be enough.
If you find this method slow and you have a large dataset, then you can try
to destroy and recreate a cache instead.
Cache will not blocked during cac
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