Re: memoryMode=OFFHEAP_TIERED

Andrey, BTW, you can give a try to GridGain community release that is fully based on Apache Ignite and includes additional bug fixes and improvements. The latest GridGain release 7.5.6 already contains the fix for this bug [1]. After next Apache Ignite version goes live you can switch back to

High latency using affinityCall from client

Hi! Sorry for the long question in advance... I'm doing some performance measurements on Ignite to see if it would work for a new project. So far, I love Ignite, but I would like some help resolving an issue with latency. Here's my setup: 3 RHEL machines running Ignite in "server" mode, with a

Re: Distributed queue problem with peerClassLoading enabled

Hi Mateusz, In version 1.5 we released the binary objects [1] format that allows to store cache in class version independent form. Thus you don't need to have any classes on server side. This ability allows dynamic change to an objects structure, and even allows multiple clients with

Re: Problem Querying SQL Fields via GG Visor

Hi, Vaibhav It seems for me that SQL should be: SELECT * FROM "CodingSchemes".CodingScheme Also in GUI Visor there a button "Metadata" on SQL Tab that will show dialog with all SQL types and option to generate query. Hope this help.

Re: SQL query result variation

Hi Moiz, As I see from the other discussion [1], you're referring to, Val has already given you suggestions. If you got into some issues related to [1] then I would recommend to discuss them there. [1] http://apache-ignite-users.70518.x6.nabble.com/AffinityKey-for-co-location-td2772.html

Re: how to get all keys stored into ignitecache??

Hi Ravi, There is IgniteCache.putAll method for your service. Moreover, there are other alternatives that can be used when you need to preload caches [1]. [1] https://apacheignite.readme.io/docs/data-loading -- Denis On 2/10/2016 1:24 PM, Ravi wrote: i have one more doubt that i created

Re: Performance drops when ContinuosQuery starts

Hi flob, Can you please subscribe to the mailing list so that the community receives email notifications? Please follow the instruction here: http://apache-ignite-users.70518.x6.nabble.com/mailing_list/MailingListOptions.jtp?forum=1 flob wrote > I have this app that populates the cache and

Re:High latency using affinityCall from client

Hi again, So my issue seems to be due to saturation at the client side. If I do too many async operations, they appear to be queueing up, so the latency I was seeing included the time they were waiting in line to go out to the server. Is it possible to increase the number of parallel async

Re: Sharing Spark RDDs with Ignite

Hi Dmitry, What are you trying to achieve by putting the RDD into the cache as a single entry? If you want to save RDD data into the Ignite cache, it's better to create IgniteRDD and use its savePairs() or saveValues() methods. See [1] for details. [1]

Immediate flush of cache into backing store

I am using an IGFS backed by local filesystem. For the purposes of verificaiton, I would like to make sure that the content is being written successfully (of course I could also read content back and ensure its written). However, I would like to turn on an "immediate flush" option whereby the

Re: Basic Spark integration question

Hi, Please see inline On 2/11/2016 8:48 AM, thesrc2016 wrote: Hi, I'm a new to Ignite and just trying to get my head round how exactly it can integrate with Spark. I have been looking through the overview and the diagrams for IgniteRDD but still things are a little unclear to me. I guess my

Re: Cache entries getting cleared

Moiz, What version you're on? Please switch to Ignite version 1.5 and set peerClassLoadingEnabled back to true. You shouldn't face with the undeployment when using 1.5 because BinaryMarshaller will be enabled by default. -- Denis On 2/10/2016 11:12 AM, Syed Moizuddin wrote: I am setting

Re: Basic Spark integration question

Thanks very much for the quick response Denis. I think what you are saying then, is that I can't through configuration only interject the IgniteRDD implementation into Spark core. I need to write some code to wire this all up. Looks like I'll have to consider constructing my own variant of the

MyBatis-Ignite integration release

Dear community, I would like to share the news about MyBatis-Ignite integration release, as a result of the collaboration between Ignite and MyBatis teams. http://blog.mybatis.org/2016/02/mybatis-ignite-released.html >From now please consider using Apache Ignite as your 2nd level MaBatis

Basic Spark integration question

Hi, I'm a new to Ignite and just trying to get my head round how exactly it can integrate with Spark. I have been looking through the overview and the diagrams for IgniteRDD but still things are a little unclear to me. I guess my query comes down to - can Ignite RDD simply be configured for use

Re: Version issue with concurrent cache updates (EntryProcessor)

Team, Could you please provide some input on that? I am blocked since it looks like EntryProcessor can't be used at all (at least with PARTITIONED cache). Thanks, 2016-02-09 15:57 GMT+02:00 Myron Chelyada : > Hmm, doing the same but with: > >

Re: Version issue with concurrent cache updates (EntryProcessor)

Myron, I tried to reproduce this assertion on ignite-1.5, but with no luck. Can you share your full cache configuration, the number of nodes in your clusterr and a code snippet allowing to reproduce the issue? Thanks, AG

Re: Distributed queue problem with peerClassLoading enabled

Hi Denis, Thanks for your reply. So, summing up, it seems that in the context of my use case, version 1.5 does not differ from 1.4? Which means that I still cannot achieve my goal: different versions of the same class (from different clients) running on the cluster at the same time? As far as I

Re: Immediate flush of cache into backing store

Hi Kobe, It sounds like you're using DUAL_ASYNC IGFS mode, is this the case? To update the secondary file system synchronously, simply switch to DUAL_SYNC in the configuration. Is this what you're looking for? -Val -- View this message in context: