Alexey Popov created IGNITE-6876:
Summary: ODBC: Add support for SQL_ATTR_CONNECTION_TIMEOUT
Key: IGNITE-6876
URL: https://issues.apache.org/jira/browse/IGNITE-6876
Project: Ignite
Issue
Alin Andrei Corodescu created IGNITE-6877:
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Summary: Improve behaviour for non-correlated subqueries
Key: IGNITE-6877
URL: https://issues.apache.org/jira/browse/IGNITE-6877
Project: Ignite
Yury Babak created IGNITE-6880:
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Summary: KNN(k nearest neighbor) algorithm
Key: IGNITE-6880
URL: https://issues.apache.org/jira/browse/IGNITE-6880
Project: Ignite
Issue Type: New Feature
Github user AMashenkov closed the pull request at:
https://github.com/apache/ignite/pull/2951
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Yury Babak created IGNITE-6878:
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Summary: Naive Bayes classifier for ML module
Key: IGNITE-6878
URL: https://issues.apache.org/jira/browse/IGNITE-6878
Project: Ignite
Issue Type: New Feature
GitHub user AMashenkov opened a pull request:
https://github.com/apache/ignite/pull/3022
Ignite-1.9.8.b1
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-1.9.8.b1
Alternatively you can review and
Yury Babak created IGNITE-6884:
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Summary: Implement of tensorFold() and tensorProduct() for vectors
and matrices
Key: IGNITE-6884
URL: https://issues.apache.org/jira/browse/IGNITE-6884
Project: Ignite
Yury Babak created IGNITE-6882:
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Summary: Introduction of computation graph
Key: IGNITE-6882
URL: https://issues.apache.org/jira/browse/IGNITE-6882
Project: Ignite
Issue Type: New Feature
Github user AMashenkov closed the pull request at:
https://github.com/apache/ignite/pull/2998
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Alexey Kukushkin created IGNITE-6879:
Summary: Support Spring 2.0
Key: IGNITE-6879
URL: https://issues.apache.org/jira/browse/IGNITE-6879
Project: Ignite
Issue Type: Improvement
Alin Andrei Corodescu created IGNITE-6881:
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Summary: More flexible metrics aggregation
Key: IGNITE-6881
URL: https://issues.apache.org/jira/browse/IGNITE-6881
Project: Ignite
Issue
Yury,
Thanks for feedback.
I reviewed the Trainer API at:
https://github.com/apache/ignite/blob/db7697b17cf6eb94754edb2b5e200655a3610dc1/modules/ml/src/main/java/org/apache/ignite/ml/Trainer.java
and also recommend approach that new "GA trainers" should be implemented
that will use GA Grid".
GitHub user AMashenkov opened a pull request:
https://github.com/apache/ignite/pull/3023
Ignite-gg-12943
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-gg-12943
Alternatively you can review and
Alin Andrei Corodescu created IGNITE-6883:
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Summary: Distributed sub-query support
Key: IGNITE-6883
URL: https://issues.apache.org/jira/browse/IGNITE-6883
Project: Ignite
Issue Type:
GitHub user abeliak opened a pull request:
https://github.com/apache/ignite/pull/3024
ignite-6866: remove offheap allocation on client nodes
Completely remove offheap from client nodes
You can merge this pull request into a Git repository by running:
$ git pull
Here is the link:
[1] https://issues.apache.org/jira/browse/IGNITE-6846
-Val
On Mon, Nov 13, 2017 at 4:53 PM, Valentin Kulichenko <
valentin.kuliche...@gmail.com> wrote:
> One of the users also brought up the issue that we don't have any metrics
> for entry processors [1]. Probably, makes
In addition to that, we need to push GA grid through the IP clearance process:
http://incubator.apache.org/ip-clearance/ip-clearance-template.html
This is how an IP clearance form looked like and process happened when GridGain
was donating Ignite persistence:
Hi Anton,
Thanks for brining this out!
The memory metrics really need a serious overhaul. For instance we a missing
basic things like:
- Bytes used per data region.
- Bytes used per cache.
- Size of checkpointing buffer.
Plus advanced memory metrics will not be harmful:
- Space occupied by
Valentin Kulichenko created IGNITE-6897:
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Summary: Visor doesn't show the list of caches after persistence
enabled cluster restart
Key: IGNITE-6897
URL: https://issues.apache.org/jira/browse/IGNITE-6897
One of the users also brought up the issue that we don't have any metrics
for entry processors [1]. Probably, makes sense to include this into IEP as
well.
-Val
On Mon, Nov 13, 2017 at 4:48 PM, Denis Magda wrote:
> Hi Anton,
>
> Thanks for brining this out!
>
> The memory
Denis,
Ok. It's not clear what stage we are in this process.
Do I need to fill out the IP Clearance form here?
http://incubator.apache.org/ip-clearance/ip-clearance-template.html
If so, I will simply model what was done for Ignite Persistence Store.
Also, What about the software grant form?
Pavel Tupitsyn created IGNITE-6885:
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Summary: .NET: Binary serialization performance: eliminate virtual
calls on hot path
Key: IGNITE-6885
URL: https://issues.apache.org/jira/browse/IGNITE-6885
Anton Vinogradov created IGNITE-6890:
Summary: Proper behavior on ExchangeWorker exits with error
Key: IGNITE-6890
URL: https://issues.apache.org/jira/browse/IGNITE-6890
Project: Ignite
Alexey Kukushkin created IGNITE-6889:
Summary: ignite.queue() returns null when queue configuration is
null
Key: IGNITE-6889
URL: https://issues.apache.org/jira/browse/IGNITE-6889
Project: Ignite
Github user asfgit closed the pull request at:
https://github.com/apache/ignite/pull/2927
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Pavel Tupitsyn created IGNITE-6886:
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Summary: .NET: Performance: Pre-calculate fieldId in reflective
serializer
Key: IGNITE-6886
URL: https://issues.apache.org/jira/browse/IGNITE-6886
Project:
Igor Seliverstov created IGNITE-6888:
Summary: Cache involved tables set for statement
Key: IGNITE-6888
URL: https://issues.apache.org/jira/browse/IGNITE-6888
Project: Ignite
Issue Type:
Anton Vinogradov created IGNITE-6891:
Summary: Proper behavior on Persistence errors
Key: IGNITE-6891
URL: https://issues.apache.org/jira/browse/IGNITE-6891
Project: Ignite
Issue Type:
Alexey Popov created IGNITE-6896:
Summary: .NET: support Multidimensional Arrays in binary serializer
Key: IGNITE-6896
URL: https://issues.apache.org/jira/browse/IGNITE-6896
Project: Ignite
+1
In fact, after implementing this, we will no longer need rendezvous
affinity.
Why do we need other affinity if we already provided ideal assignment to
user ?
I suggest hiding affinity function from public API and make available
publicly only things like partition count and backup filter,
Turik,
>From my point of view our first step is add GA Grid as is into package
org.apache.ignite.ml.genetic in ML module.
It shouldn't be a problem, but before this we should check that GA Grid fits
to our codestyle.
So please prepare pull-request with GA Grid.
Also if nobody object I will
GitHub user DmitriyGovorukhin opened a pull request:
https://github.com/apache/ignite/pull/3025
Ignite-2.4.1
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-2.4.1
Alternatively you can review and
Anton Vinogradov created IGNITE-6892:
Summary: Proper behavior on OOM/IgniteOutOfMemoryException
Key: IGNITE-6892
URL: https://issues.apache.org/jira/browse/IGNITE-6892
Project: Ignite
Anton Vinogradov created IGNITE-6895:
Summary: Provide metric to monitor any TX deadlock
Key: IGNITE-6895
URL: https://issues.apache.org/jira/browse/IGNITE-6895
Project: Ignite
Issue
Anton Vinogradov created IGNITE-6894:
Summary: Provide metric to monitor Internal threads stuck
Key: IGNITE-6894
URL: https://issues.apache.org/jira/browse/IGNITE-6894
Project: Ignite
Anton Vinogradov created IGNITE-6893:
Summary: Provide metric to monitor Java Deadlocks
Key: IGNITE-6893
URL: https://issues.apache.org/jira/browse/IGNITE-6893
Project: Ignite
Issue
Igniters,
As you may know Ignite have a lot of JMX based metric, but to perform more
effective grid monitoring some new JMX metrics needs to be implemented.
Here's the accumulated list of metrics I'd like to see at nearest Ignite
version:
Topology
- Current topology version
- Total server nodes
On Mon, Nov 13, 2017 at 7:49 AM, Alexei Scherbakov <
alexey.scherbak...@gmail.com> wrote:
> +1
>
> In fact, after implementing this, we will no longer need rendezvous
> affinity.
>
> Why do we need other affinity if we already provided ideal assignment to
> user ?
>
Because rendezvous is
Hello,
Below is my redis client code through which i'm trying to store multiple
C++ Object to Ignite Server after serializing the object in to string using
protobuf serialization library.
The same code works fine in storing and retrieving for 10lakshs objects
with redis server. But the same
Thanks, Anton! All makes sense. I was actually under impression that Ignite
already provides some of these metrics.
Can you please create relevant tickets and add them to the IEP page?
Perhaps someone in the community could pick these up. This would be a very
nice way to get started with the
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