Re: Server Node comes down with : (err) Failed to notify listener: GridDhtTxPrepareFuture Error

Thanks for the report! The issue here is that a remote filter for a continuous query is loaded using peer class loading, and other classes that this remote filter depends on can be lazily loaded during its work. Loading every dependency class involves going to the node where the originating class

Who can update TC Bot version.

Dmitriy, could you plz ?   >We can manage that here. > > >> On 24 Mar 2020, at 13:29, Dmitriy Pavlov < dpav...@apache.org > wrote: >> >> Hi, >> >> I could potentially update this version in the source code, but I'm not >> able to deploy new version to the server (since it is now sponsored by >

[jira] [Created] (IGNITE-12840) Leaking H2 internals when querying from pyignite

Ilya Kasnacheev created IGNITE-12840: Summary: Leaking H2 internals when querying from pyignite Key: IGNITE-12840 URL: https://issues.apache.org/jira/browse/IGNITE-12840 Project: Ignite I

Re: [DISCUSSION] Improvement in control.sh configuration.

I'm currently working on ticket https://issues.apache.org/jira/browse/IGNITE-12832 It's not exactly what had been suggested but it will allow to pass some custom properties to the client configuration and to pass parameters without length limitations using .properties file. -- Sent from: http:/

[jira] [Created] (IGNITE-12841) @Override must be on the same line as a method

Nikolay Izhikov created IGNITE-12841: Summary: @Override must be on the same line as a method Key: IGNITE-12841 URL: https://issues.apache.org/jira/browse/IGNITE-12841 Project: Ignite Iss

FetchSize of the JdbcStore

Hello, Igniters. Right now there is no way for the user to set fetchSize of the JdbcStore This leads to the poor performance of the cache load with the 3-d party persistence [1] I propose to add JdbcDialect#setFetchSize method [2] Thoughts? [1] https://issues.apache.org/jira/browse/IGNITE-1282

Re: Security Subject of thin client on remote nodes

Denis, I'll review your PR. If this issue is a subject to be included in 2.8.1 in emergency mode, I'm ok with the current API changes. Please think about driving creating IEP on security API overhaul prior to 2.9. I believe that you are the most suitable Ignite community member to drive this activ

Re: Thin client: compute support

> will try to provide such guarantees on the server-side Thanks. I think it is better to do once in the server code than N times in every client. On Wed, Mar 25, 2020 at 11:04 PM Alex Plehanov wrote: > Pavel, > > 1. Actually it can be solved on the client-side (and already solved in PoC > implem

Re: FetchSize of the JdbcStore

Hi Nikolay, There is a very similar ticket [1]. Perhaps it could be somehow useful. [1] https://issues.apache.org/jira/browse/IGNITE-11894 Best regards, Ivan Pavlukhin чт, 26 мар. 2020 г. в 17:54, Nikolay Izhikov : > > Hello, Igniters. > > Right now there is no way for the user to set fetchSize

Re: FetchSize of the JdbcStore

Hello, Ivan. Yes, this is the same issue. I will proceed with this improvement if there is no objections. чт, 26 мар. 2020 г., 19:40 Ivan Pavlukhin : > Hi Nikolay, > > There is a very similar ticket [1]. Perhaps it could be somehow useful. > > [1] https://issues.apache.org/jira/browse/IGNITE-118

Re: Thin client: compute support

> > Deployment API definitely needed as one of the next steps. Currently, we > are talking only about the first step (execution of already deployed > tasks). > Also, I'm not sure about automatic redeploy and peer-class-loading for thin > clients, I think it's better to have more control here and pr

Ignite XGBoost support

Good Afternoon All I was asked to forward this here by Denis Magda. I see in the 2.8 release that you implemented importing of XGBoost models for distributed inference => https://issues.apache.org/jira/browse/IGNITE-10810?focusedCommentId=16728718&page=com.atlassian.jira.plugin.system.issuetabpa

Re: Ignite XGBoost support

Hi Adam, thanks for starting the thread. The contributions are highly appreciated and we'll be glad to see you among our contributors, especially, if it helps to make our ML library stronger. But first things first, let me introduce you to @Alexey Zinoviev who is our main ML maintainer. - Denis

Re: Ignite XGBoost support

Good afternoon Denis, Nice to meet you, Hello to you too Alexey. So I'm not sure if it will be me or another member on our team, but I wanted to start the discussion. We are investigating/integrating ignite into our ML platform. In addition We have already done a separate tensor flow implemen

[jira] [Created] (IGNITE-12842) Cache "IGNITE_DAEMON" system properties in isDaemon call

Sunny Chan created IGNITE-12842: --- Summary: Cache "IGNITE_DAEMON" system properties in isDaemon call Key: IGNITE-12842 URL: https://issues.apache.org/jira/browse/IGNITE-12842 Project: Ignite Iss

GridKernalContextImpl.isDaemon is calling System.Properties frequently

Hello, I was performing some tuning using JFR with our application, and I have found that in many of the cache get it makes a lot of calls to get System Properties, which is a synchronized call. Upon further examination of the code I have found that we can potentially optimized the code to cach

Re: Ignite XGBoost support

Morning, Adam, Denis! Let me describe the current status 1. https://issues.apache.org/jira/browse/IGNITE-10810 is related to MLeap not to XGBoost. This is the right ticket for XGBoost https://issues.apache.org/jira/browse/IGNITE-10289 2. Currently, we have no plans to add XGBoost or any external