Per cache.
—
Denis
> On Jun 8, 2016, at 7:42 AM, amitpa wrote:
>
> Danis,
>
> CacheConfiguration.setMaxConcurrentAsyncOperations :- Is it set per cache or
> in Ignite-Config on Node startup?
>
>
>
> --
> View this message in context:
>
Danis,
CacheConfiguration.setMaxConcurrentAsyncOperations :- Is it set per cache or
in Ignite-Config on Node startup?
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Increase-transaction-throughput-with-nodes-tp5411p5510.html
Sent from the Apache Ignite Users
Hi Kevin,
This happens because such information is not “cached” in the internals meaning
that every time the database will be queried to see whether it has such a key
or not. If you disable the database the performance should be good.
In any case how critical is this for you? Is it some basic
In addition a long pause GC can lead to error.
You can get GC log and analyze it [1].
If this does not help, then add GC log in this thread.
[1]: https://apacheignite.readme.io/docs/jvm-and-system-tuning
On Tue, Jun 7, 2016 at 6:35 PM, vdpyatkov wrote:
> vdpyatkov wrote
>
vdpyatkov wrote
> Hello,
>
> Unfortunately I was not able to get access to logs files.
> I think you need to check IGNITE_HOME environment variable.
>
> You can find information about in the article
> https://apacheignite.readme.io/docs/getting-started in *Installation*
> topic.
>
> If the
Hi Denis,
Thank you for your response. After looking in to this a bit more I have
discovered I can disable this entirely with the following:
IgniteConfiguration cfg = new IgniteConfiguration();
cfg.setConnectorConfiguration(null); // disables the tcp rest
Hi Denis,
Thank you very much for your good suggestions! If my Spark running on YARN
and there are three master_hosts running, should I pick up one randomly? I
will give a try to specify the master_host and master_port.
Thank you!
Mei
On Tue, Jun 7, 2016 at 10:26 AM, Denis Magda
Where do you see this property?
WriteBehindTotalCriticalOverflowCount
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Inserts-stalled-by-write-behind-process-tp3390p5500.html
Sent from the Apache Ignite Users mailing list archive at Nabble.com.
Hi Kevin,
Currently Ignite uses H2 as underlying database engine. And according to H2
documentation, group indexes are only used when all fields from the index
participate in a query. For this reason it might necessary to have several
indexes or index groups if multiple different queries are
Hi,
I’m not an expert in this area however have you tried to specify a Spark master
like the following documentation says?
https://apacheignite-fs.readme.io/docs/testing-integration-with-spark-shell#working-with-spark-shell
If you did try please share the full logs, someone from the community
Hi Agneeswaran,
Could you please provide your connection string? Or are you using one of
the examples?
According to the error, ODBC driver was not properly installed in your
system. It is also possible,
that unixODBC can not find all the dependencies of the driver library. Can
you provide output
Hi, Haithem Turki!
If your yarn cluster running in network without internet, you can use
IGNITE_PATH property. The property allows to use apache ignite build from
hdfs. Also error message isn't clear, I've created ticket [1] for this
issue.
1. https://issues.apache.org/jira/browse/IGNITE-3268
bearrito wrote
> Group,
>
> Are there best practices or recommendations on the number of caches one
> should create?
>
> In particular I'm looking to create append-only log type functionality
> with evictions. Suppose for instance I had many financial instruments and
> I wanted to store the last
Hi Team,
We are getting the following error message while Connecting to ODBC
server.Could you please suggest us.
Error
[unixODBC][Driver Manager]Data source name not found, and no default driver
specified
We have followed all the procedure as mentioned in the site:
1. If any client is disconnected event queue is dropped ( except some
internal discovery events ).
2. Which query? Event queue is per connection.
3. No.
4. No.
You can read more about slow clients here [1]
[1]
https://apacheignite.readme.io/docs/clients-vs-servers#managing-slow-clients
Yes Alexie, I should have mentioned that (my bad).
On Tuesday, June 7, 2016 5:17 AM, Alexei Scherbakov
wrote:
Hi,
Do you mean Ignite's Event delivery described here [1] ?
[1] https://apacheignite.readme.io/docs/events
2016-06-06 13:21 GMT+03:00 M Singh
Hi,
Do you mean Ignite's Event delivery described here [1] ?
[1] https://apacheignite.readme.io/docs/events
2016-06-06 13:21 GMT+03:00 M Singh :
> Hi:
>
> I have a few questions about slow clients:
>
> 1. If a slow client is disconnected, what happens to it's event queue
Hello,
Unfortunately I was not able to get access to logs files.
I think you need to check IGNITE_HOME environment variable.
You can find information about in the article
https://apacheignite.readme.io/docs/getting-started in *Installation* topic.
If the exception persists, please send log
Hi
Already answered to you in gitter.
You should profile the application to understand the source of slowdown.
I doubt it's Inite related.
2016-06-06 16:08 GMT+03:00 amitpa :
> Hi,
>
> I have an application which embeds a Apache Ignite instance in a TCP
> server.
> I
Hi,
Please properly subscribe to the user list (this way we will not have to
manually approve your emails). All you need to do is send an email to ì
user-subscr...@ignite.apache.orgî and follow simple instructions in the
reply.
In regards to your question I would suggest you switching to
Hi Dave,
The port is used to connect to a cluster using REST based protocol
implementation.
https://apacheignite.readme.io/docs/rest-api
It’s used by Visor CMD utility
https://apacheignite.readme.io/docs/command-line-interface
If you don’t expect to use Visor or this feature in general you
Hi,
Your understanding is correct. The overall throughput should grow if you
scale horizontally.
However in case of distributed transactions many factors can be a reason of
why the performance doesn't grow significantly:
- the same locks are held by multiple pessimistic transactions;
-
Hi,
What numbers do you get? What Ignite version are you on?
In fact IGFS should give you performance boost but make sure that you’re using
Ignite 1.6.0 that has many performance related optimizations in this area.
—
Denis
> On Jun 3, 2016, at 9:56 AM, Jason <410353...@qq.com> wrote:
>
> It
Hi,
Please properly subscribe to the user list (this way we will not have to
manually approve your emails). All you need to do is send an email to ì
user-subscr...@ignite.apache.orgî and follow simple instructions in the
reply.
In regards to your question try to increase
Hi,
Please properly subscribe to the user list (this way we will not have to
manually approve your emails). All you need to do is send an email to ì
user-subscr...@ignite.apache.orgî and follow simple instructions in the
reply.
Please provide the full stack trace that should contain the cause of
Hi, Amit.
I think the object size is OK for performance.
As for NPE, I think you should check if the entry exists in case you passed
the key which is not contained in cache:
if (mutableEntry.exists()) {
mutableEntry.setValue(...)
}
Check the javadoc for igniteCache.invoke about
Hi,
Please properly subscribe to the user list (this way we will not have to
manually approve your emails). All you need to do is send an email to ì
user-subscr...@ignite.apache.orgî and follow simple instructions in the
reply.
How big is you dataset? What is the reason why you store a HashMap
Hi,
Please properly subscribe to the user list (this way we will not have to
manually approve your emails). All you need to do is send an email to ì
user-subscr...@ignite.apache.orgî and follow simple instructions in the
reply.
In regards to your question, you can subscribe for
I tuned the application by batching the cache updates and making the query
use the index. Wasn't able to make affinity calls work.
Alexei, can you please provide your inputs on the affinity code?
--
View this message in context:
Hi,
Subscribe to
EventType.EVT_NODE_FAILED
EventType.EVT_NODE_LEFT
events [1]
[1] https://apacheignite.readme.io/docs/events
2016-06-06 20:18 GMT+03:00 Anand Kumar Sankaran
:
> All
>
>
>
> I implemented a ClusterNode.userAttributes() based authorization
>
Hi
Because the H2 engine works this way.
Look carefully into the documentation [1]
[1]
https://apacheignite.readme.io/docs/sql-queries#performance-and-usability-considerations
2016-06-07 7:37 GMT+03:00 pragmaticbigdata :
> Great. The query worked now and it is 50% faster
31 matches
Mail list logo