Free RAM is variable. For example, I can start Ignite before IDE (Eclipse, or so), or after IDE. In the first case it will hang, in the send it won't. Unstable.
To be clear - I propose to have "maxMemory" set to 10%, not "initialMemory". It doesn't matter how exactly we reach it - in one hop, or in several hops. What do matter, is that I do not bring user's PC down with default settings. On Wed, Aug 2, 2017 at 10:37 AM, Dmitriy Setrakyan <dsetrak...@apache.org> wrote: > On Wed, Aug 2, 2017 at 9:33 AM, Vladimir Ozerov <voze...@gridgain.com> > wrote: > > > Dima, > > > > Probably folks who worked closely with storage know why. > > > > Without knowing why, how can we make a decision? > > Alexey Goncharuk, was it you who made the decision about not using > increments? Do know remember what was the reason? > > > > > > The very problem is that before being started once on production > > environment, Ignite will typically be started hundred times on > developer's > > environment. I think that default should be ~10% of total RAM. > > > > Why not 80% of *free *RAM? > > > > > > On Wed, Aug 2, 2017 at 10:21 AM, Dmitriy Setrakyan < > dsetrak...@apache.org> > > wrote: > > > > > On Wed, Aug 2, 2017 at 7:27 AM, Vladimir Ozerov <voze...@gridgain.com> > > > wrote: > > > > > > > Please see original Sergey's message - when persistence is enabled, > > > memory > > > > is not allocated incrementally, maxSize is used. > > > > > > > > > > Why? > > > > > > > > > > Default settings must allow for normal work on developer's > environment. > > > > > > > > > > Agree, but why not in increments? > > > > > > > > > > > > > > ср, 2 авг. 2017 г. в 1:10, Denis Magda <dma...@apache.org>: > > > > > > > > > > Why not allocate in increments automatically? > > > > > > > > > > This is exactly how the allocation works right now. The memory will > > > grow > > > > > incrementally until the max size is reached (80% of RAM by > default). > > > > > > > > > > — > > > > > Denis > > > > > > > > > > > On Aug 1, 2017, at 3:03 PM, dsetrak...@apache.org wrote: > > > > > > > > > > > > Vova, 1GB seems a bit too small for me, and frankly i do not want > > t o > > > > > guess. Why not allocate in increments automatically? > > > > > > > > > > > > D. > > > > > > > > > > > > On Aug 1, 2017, 11:03 PM, at 11:03 PM, Vladimir Ozerov < > > > > > voze...@gridgain.com> wrote: > > > > > >> Denis, > > > > > >> No doubts you haven't heard about it - AI 2.1 with persistence, > > when > > > > > >> 80% of > > > > > >> RAM is allocated right away, was released several days ago. How > do > > > you > > > > > >> think, how many users tried it already? > > > > > >> > > > > > >> Guys, > > > > > >> Do you really think allocating 80% of available RAM is a normal > > > thing? > > > > > >> Take > > > > > >> your laptop and check how many available RAM you have right now. > > Do > > > > you > > > > > >> fit > > > > > >> to remaining 20%? If not, then running AI with persistence with > > all > > > > > >> defaults will bring your machine down. This is insane. We shold > > > > > >> allocate no > > > > > >> more than 1Gb, so that user can play with it without any > problems. > > > > > >> > > > > > >> On Tue, Aug 1, 2017 at 10:26 PM, Denis Magda <dma...@apache.org > > > > > > wrote: > > > > > >> > > > > > >>> My vote goes for option #1 too. I don’t think that 80% is too > > > > > >> aggressive > > > > > >>> to bring it down. > > > > > >>> > > > > > >>> IGNITE-5717 was created to fix the issue of the 80% RAM > > allocation > > > on > > > > > >> 64 > > > > > >>> bit systems when Ignite works on top of 32 bit JVM. I’ve not > > heard > > > of > > > > > >> any > > > > > >>> other complaints in regards the default allocation size. > > > > > >>> > > > > > >>> — > > > > > >>> Denis > > > > > >>> > > > > > >>>> On Aug 1, 2017, at 10:58 AM, dsetrak...@apache.org wrote: > > > > > >>>> > > > > > >>>> I prefer option #1. > > > > > >>>> > > > > > >>>> D. > > > > > >>>> > > > > > >>>> On Aug 1, 2017, 11:20 AM, at 11:20 AM, Sergey Chugunov < > > > > > >>> sergey.chugu...@gmail.com> wrote: > > > > > >>>>> Folks, > > > > > >>>>> > > > > > >>>>> I would like to get back to the question about MemoryPolicy > > > > > >> maxMemory > > > > > >>>>> defaults. > > > > > >>>>> > > > > > >>>>> Although MemoryPolicy may be configured with initial and > > > maxMemory > > > > > >>>>> settings, when persistence is used MemoryPolicy always > > allocates > > > > > >>>>> maxMemory > > > > > >>>>> size for performance reasons. > > > > > >>>>> > > > > > >>>>> As default size of maxMemory is 80% of physical memory it > > causes > > > > > >> OOME > > > > > >>>>> exceptions of 32 bit platforms (either on OS or JVM level) > and > > > > > >> hurts > > > > > >>>>> performance in setups when multiple Ignite nodes are started > on > > > > > >> the > > > > > >>>>> same > > > > > >>>>> physical server. > > > > > >>>>> > > > > > >>>>> I suggest to rethink these defaults and switch to other > > options: > > > > > >>>>> > > > > > >>>>> - Check whether platform is 32 or 64 bits and adapt defaults. > > In > > > > > >> this > > > > > >>>>> case we still need to address the issue with multiple nodes > on > > > one > > > > > >>>>> machine > > > > > >>>>> even on 64 bit systems. > > > > > >>>>> > > > > > >>>>> - Lower defaults for maxMemory and allocate, for instance, > > > > > >> max(0.3 * > > > > > >>>>> availableMemory, 1Gb). > > > > > >>>>> This option allows us to solve all issues with starting on 32 > > bit > > > > > >>>>> platforms and reduce instability with multiple nodes on the > > same > > > > > >>>>> machine. > > > > > >>>>> > > > > > >>>>> > > > > > >>>>> Thoughts and/or other options? > > > > > >>>>> > > > > > >>>>> Thanks, > > > > > >>>>> Sergey. > > > > > >>> > > > > > >>> > > > > > > > > > > > > > > > > > > > >