date:20171101

[jira] [Created] (IGNITE-6816) Investigate/integrate Webpack dll-plugin

2017-11-01 Thread Ilya Borisov (JIRA)

Ilya Borisov created IGNITE-6816:


 Summary: Investigate/integrate Webpack dll-plugin
 Key: IGNITE-6816
 URL: https://issues.apache.org/jira/browse/IGNITE-6816
 Project: Ignite
  Issue Type: Improvement
  Security Level: Public (Viewable by anyone)
  Components: wizards
Reporter: Ilya Borisov
Assignee: Alexander Kalinin


As the webconsole frontend app size grows, it takes more and more time to 
incrementally rebuild after each source code change in development environment. 
Let's investigate this plugin https://webpack.js.org/plugins/dll-plugin/ and 
integrate it into webpack build pipeline if it offers measureable performance 
improvements.



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Re: GA Grid: Request to contribute GA library to Apache Ignite

2017-11-01 Thread Dmitriy Setrakyan

Hi Turik,

Is my understanding correct that GA Grid is a vertical component for
genetic algorithms? So far Ignite has been a horizontal product without any
vertical functionality. I personally would like to keep it this way (other
community members should chime in here).

I personally think it is great that GA Grid gets a lot of mention on Apache
Ignite website and has been a valuable integration for the Ignite community.

If you would like to join Apache, have you considered a separate Apache
project? This may help you build a community around your work and benefit
from the established Apache processes during incubation.

D.


On Wed, Nov 1, 2017 at 5:26 PM, techbysample  wrote:

> Igniters,
>
> GA Grid (Beta) is an in memory Genetic Algorithm (GA) for Apache Ignite
> used
> to solve complex problems by simulating biological evolution.
> GA's are a form of Machine Learning (ML), excellent for finding an optimal
> solution, among possibly thousands (or more) candidate solutions for a
> given
> domain.
>
> GA Grid was developed by NetMillennium Inc, Inc outside of Apache Ignite
> platform as a proof of concept to determine feasibility in the GA space.
> In GA Grid, all genetic operations: Fitness Calculation, Crossover, and
> Mutation  are modeled as a ComputeTask for distributive behavior.  Also,
> these ComputeTasks leverage Apache Ignite's Affinity Colocation to route
> ComputeJobs to respective nodes where Chromosomes are stored in cache.
>
> After it's initial release, Denis Magda inquired about the possibility of
> donating GA Grid to Apache Ignite. Per discussions with Denis, he believed
> GA Grid would be well suited as an extension to Apache Ignite's ML library.
> Currently, NetMillennium, Inc. has agreed to begin the process of donating
> GA Grid to Apache Ignite.
>
> With it's latest release, GA Grid enhances knowledge discovery by providing
> custom SQL functions to 'pivot' genetic optimization results. This enables
> improved visualizations inside Apache Zeppelin.
>
> To learn more about GA Grid please visit:
>
> https://github.com/techbysample/gagrid
>
> Check out my recent post on how GA Grid for Ignite integrates with
> Zeppelin:
>
> https://www.linkedin.com/post/edit/apache-ignite-visualize-
> ga-grid-solutions-deep-turik-campbell
>
> Please advise.
>
> Best Regards,
> Turik Campbell
> NetMillennium, Inc.
>
>
>
> --
> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
>

[jira] [Created] (IGNITE-6815) "Unexpected exception during cache update" via NullPointerException thrown using TouchedExpiryPolicy

2017-11-01 Thread Reed Sandberg (JIRA)

Reed Sandberg created IGNITE-6815:
-

 Summary: "Unexpected exception during cache update" via 
NullPointerException thrown using TouchedExpiryPolicy
 Key: IGNITE-6815
 URL: https://issues.apache.org/jira/browse/IGNITE-6815
 Project: Ignite
  Issue Type: Bug
  Security Level: Public (Viewable by anyone)
  Components: cache, streaming
Affects Versions: 2.3, 2.2
 Environment: 4.10.0-33-generic #37~16.04.1-Ubuntu SMP Fri Aug 11 
14:07:24 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

Distributor ID: LinuxMint
Description:Linux Mint 18.2 Sonya
Release:18.2
Codename:   sonya


Reporter: Reed Sandberg
Priority: Major


This is triggered when I apply an expiry on the cache during an import with 
StreamLoader, with no expiry on the cache, the import runs fine.

Somehow the following line of code is hit with val == null:
org/apache/ignite/internal/processors/cache/IgniteCacheOffheapManagerImpl.java:1253

Stack trace:

{noformat}
16:04:25.259 ERROR o.a.i.i.p.c.d.d.a.GridDhtAtomicCache -  
Unexpected exception during cache update
org.apache.ignite.IgniteException: Runtime failure on search row: 
org.apache.ignite.internal.processors.cache.tree.SearchRow@68a4e885
at 
org.apache.ignite.internal.processors.cache.persistence.tree.BPlusTree.invoke(BPlusTree.java:1632)
at 
org.apache.ignite.internal.processors.cache.IgniteCacheOffheapManagerImpl$CacheDataStoreImpl.invoke(IgniteCacheOffheapManagerImpl.java:1201)
at 
org.apache.ignite.internal.processors.cache.IgniteCacheOffheapManagerImpl.invoke(IgniteCacheOffheapManagerImpl.java:343)
at 
org.apache.ignite.internal.processors.cache.GridCacheMapEntry.innerUpdate(GridCacheMapEntry.java:1693)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.updateSingle(GridDhtAtomicCache.java:2419)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.update(GridDhtAtomicCache.java:1882)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.updateAllAsyncInternal0(GridDhtAtomicCache.java:1735)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.updateAllAsyncInternal(GridDhtAtomicCache.java:1627)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridNearAtomicAbstractUpdateFuture.sendSingleRequest(GridNearAtomicAbstractUpdateFuture.java:299)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridNearAtomicSingleUpdateFuture.map(GridNearAtomicSingleUpdateFuture.java:483)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridNearAtomicSingleUpdateFuture.mapOnTopology(GridNearAtomicSingleUpdateFuture.java:443)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridNearAtomicAbstractUpdateFuture.map(GridNearAtomicAbstractUpdateFuture.java:248)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.update0(GridDhtAtomicCache.java:1116)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.invoke0(GridDhtAtomicCache.java:825)
at 
org.apache.ignite.internal.processors.cache.distributed.dht.atomic.GridDhtAtomicCache.invoke(GridDhtAtomicCache.java:783)
at 
org.apache.ignite.internal.processors.cache.IgniteCacheProxyImpl.invoke(IgniteCacheProxyImpl.java:1338)
at 
org.apache.ignite.internal.processors.cache.GatewayProtectedCacheProxy.invoke(GatewayProtectedCacheProxy.java:1320)
at 
org.apache.ignite.stream.StreamTransformer.receive(StreamTransformer.java:45)
at 
org.apache.ignite.internal.processors.datastreamer.DataStreamerUpdateJob.call(DataStreamerUpdateJob.java:137)
at 
org.apache.ignite.internal.util.IgniteUtils.wrapThreadLoader(IgniteUtils.java:6631)
at 
org.apache.ignite.internal.processors.closure.GridClosureProcessor$2.body(GridClosureProcessor.java:967)
at 
org.apache.ignite.internal.util.worker.GridWorker.run(GridWorker.java:110)
at 
org.apache.ignite.internal.util.StripedExecutor$Stripe.run(StripedExecutor.java:505)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException: null
at 
org.apache.ignite.internal.processors.cache.IgniteCacheOffheapManagerImpl$CacheDataStoreImpl.createRow(IgniteCacheOffheapManagerImpl.java:1253)
at 
org.apache.ignite.internal.processors.cache.GridCacheMapEntry$AtomicCacheUpdateClosure.initResultOnCancelUpdate(GridCacheMapEntry.java:4267)
at 
org.apache.ignite.internal.processors.cache.GridCacheMapEntry$AtomicCacheUpdateClosure.call(GridCacheMapEntry.java:4154)
at

GA Grid: Request to contribute GA library to Apache Ignite

2017-11-01 Thread techbysample

Igniters,

GA Grid (Beta) is an in memory Genetic Algorithm (GA) for Apache Ignite used
to solve complex problems by simulating biological evolution.
GA's are a form of Machine Learning (ML), excellent for finding an optimal
solution, among possibly thousands (or more) candidate solutions for a given
domain.

GA Grid was developed by NetMillennium Inc, Inc outside of Apache Ignite
platform as a proof of concept to determine feasibility in the GA space.
In GA Grid, all genetic operations: Fitness Calculation, Crossover, and
Mutation are modeled as a ComputeTask for distributive behavior. Also,
these ComputeTasks leverage Apache Ignite's Affinity Colocation to route
ComputeJobs to respective nodes where Chromosomes are stored in cache.

After it's initial release, Denis Magda inquired about the possibility of
donating GA Grid to Apache Ignite. Per discussions with Denis, he believed
GA Grid would be well suited as an extension to Apache Ignite's ML library.
Currently, NetMillennium, Inc. has agreed to begin the process of donating
GA Grid to Apache Ignite.

With it's latest release, GA Grid enhances knowledge discovery by providing
custom SQL functions to 'pivot' genetic optimization results. This enables
improved visualizations inside Apache Zeppelin.

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