ignite-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Anton Vinogradov ...@apache.org>
Subject Re: Rebalancing - how to make it faster
Date Mon, 26 Mar 2018 17:04:26 GMT
>> It is impossible to disable WAL only for certain partitions without
>> completely overhauling design of Ignite storage mechanism. Right now we
can
>> afford only to change WAL mode per cache group.

Cache group rebalancing is a one cache rebalancing, and then this cache
("cache group") can be presented as a set of virtual caches.
So, there is no issues for initial rebalancing.
Lets disable WAL on initial rebalancing.

2018-03-26 16:46 GMT+03:00 Ilya Lantukh <ilantukh@gridgain.com>:

> Dmitry,
> It is impossible to disable WAL only for certain partitions without
> completely overhauling design of Ignite storage mechanism. Right now we can
> afford only to change WAL mode per cache group.
>
> The idea is to disable WAL when node doesn't have any partition in OWNING
> state, which means it doesn't have any consistent data and won't be able to
> restore from WAL anyway. I don't see any potential use for WAL on such
> node, but we can keep a configurable parameter indicating can we
> automatically disable WAL in such case or not.
>
> On Fri, Mar 23, 2018 at 10:40 PM, Dmitry Pavlov <dpavlov.spb@gmail.com>
> wrote:
>
> > Denis, as I understood, there is and idea to exclude only rebalanced
> > partition(s) data. All other data will go to the WAL.
> >
> > Ilya, please correct me if I'm wrong.
> >
> > пт, 23 мар. 2018 г. в 22:15, Denis Magda <dmagda@apache.org>:
> >
> > > Ilya,
> > >
> > > That's a decent boost (5-20%) even having WAL enabled. Not sure that we
> > > should stake on the WAL "off" mode here because if the whole cluster
> goes
> > > down, it's then the data consistency is questionable. As an architect,
> I
> > > wouldn't disable WAL for the sake of rebalancing; it's too risky.
> > >
> > > If you agree, then let's create the IEP. This way it will be easier to
> > > track this endeavor. BTW, are you already ready to release any
> > > optimizations in 2.5 that is being discussed in a separate thread?
> > >
> > > --
> > > Denis
> > >
> > >
> > >
> > > On Fri, Mar 23, 2018 at 6:37 AM, Ilya Lantukh <ilantukh@gridgain.com>
> > > wrote:
> > >
> > > > Denis,
> > > >
> > > > > - Don't you want to aggregate the tickets under an IEP?
> > > > Yes, I think so.
> > > >
> > > > > - Does it mean we're going to update our B+Tree implementation? Any
> > > ideas
> > > > how risky it is?
> > > > One of tickets that I created (
> > > > https://issues.apache.org/jira/browse/IGNITE-7935) involves B+Tree
> > > > modification, but I am not planning to do it in the nearest future.
> It
> > > > shouldn't affect existing tree operations, only introduce new ones
> > > (putAll,
> > > > invokeAll, removeAll).
> > > >
> > > > > - Any chance you had a prototype that shows performance
> optimizations
> > > the
> > > > approach you are suggesting to take?
> > > > I have a prototype for simplest improvements (
> > https://issues.apache.org/
> > > > jira/browse/IGNITE-8019 & https://issues.apache.org/
> > > > jira/browse/IGNITE-8018)
> > > > - together they increase throughput by 5-20%, depending on
> > configuration
> > > > and environment. Also, I've tested different WAL modes - switching
> from
> > > > LOG_ONLY to NONE gives over 100% boost - this is what I expect from
> > > > https://issues.apache.org/jira/browse/IGNITE-8017.
> > > >
> > > > On Thu, Mar 22, 2018 at 9:48 PM, Denis Magda <dmagda@apache.org>
> > wrote:
> > > >
> > > > > Ilya,
> > > > >
> > > > > That's outstanding research and summary. Thanks for spending your
> > time
> > > on
> > > > > this.
> > > > >
> > > > > Not sure I have enough expertise to challenge your approach, but
it
> > > > sounds
> > > > > 100% reasonable to me. As side notes:
> > > > >
> > > > >    - Don't you want to aggregate the tickets under an IEP?
> > > > >    - Does it mean we're going to update our B+Tree implementation?
> > Any
> > > > >    ideas how risky it is?
> > > > >    - Any chance you had a prototype that shows performance
> > > optimizations
> > > > of
> > > > >    the approach you are suggesting to take?
> > > > >
> > > > > --
> > > > > Denis
> > > > >
> > > > > On Thu, Mar 22, 2018 at 8:38 AM, Ilya Lantukh <
> ilantukh@gridgain.com
> > >
> > > > > wrote:
> > > > >
> > > > > > Igniters,
> > > > > >
> > > > > > I've spent some time analyzing performance of rebalancing
> process.
> > > The
> > > > > > initial goal was to understand, what limits it's throughput,
> > because
> > > it
> > > > > is
> > > > > > significantly slower than network and storage device can
> > > theoretically
> > > > > > handle.
> > > > > >
> > > > > > Turns out, our current implementation has a number of issues
> caused
> > > by
> > > > a
> > > > > > single fundamental problem.
> > > > > >
> > > > > > During rebalance data is sent in batches called
> > > > > > GridDhtPartitionSupplyMessages. Batch size is configurable,
> > default
> > > > > value
> > > > > > is 512KB, which could mean thousands of key-value pairs. However,
> > we
> > > > > don't
> > > > > > take any advantage over this fact and process each entry
> > > independently:
> > > > > > - checkpointReadLock is acquired multiple times for every entry,
> > > > leading
> > > > > to
> > > > > > unnecessary contention - this is clearly a bug;
> > > > > > - for each entry we write (and fsync, if configuration assumes
> it)
> > a
> > > > > > separate WAL record - so, if batch contains N entries, we might
> end
> > > up
> > > > > > doing N fsyncs;
> > > > > > - adding every entry into CacheDataStore also happens completely
> > > > > > independently. It means, we will traverse and modify each index
> > tree
> > > N
> > > > > > times, we will allocate space in FreeList N times and we will
> have
> > to
> > > > > > additionally store in WAL O(N*log(N)) page delta records.
> > > > > >
> > > > > > I've created a few tickets in JIRA with very different levels
of
> > > scale
> > > > > and
> > > > > > complexity.
> > > > > >
> > > > > > Ways to reduce impact of independent processing:
> > > > > > - https://issues.apache.org/jira/browse/IGNITE-8019 -
> > aforementioned
> > > > > bug,
> > > > > > causing contention on checkpointReadLock;
> > > > > > - https://issues.apache.org/jira/browse/IGNITE-8018 -
> inefficiency
> > > in
> > > > > > GridCacheMapEntry implementation;
> > > > > > - https://issues.apache.org/jira/browse/IGNITE-8017 -
> > automatically
> > > > > > disable
> > > > > > WAL during preloading.
> > > > > >
> > > > > > Ways to solve problem on more global level:
> > > > > > - https://issues.apache.org/jira/browse/IGNITE-7935 - a ticket
> to
> > > > > > introduce
> > > > > > batch modification;
> > > > > > - https://issues.apache.org/jira/browse/IGNITE-8020 - complete
> > > > redesign
> > > > > of
> > > > > > rebalancing process for persistent caches, based on file
> transfer.
> > > > > >
> > > > > > Everyone is welcome to criticize above ideas, suggest new ones
or
> > > > > > participate in implementation.
> > > > > >
> > > > > > --
> > > > > > Best regards,
> > > > > > Ilya
> > > > > >
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > Best regards,
> > > > Ilya
> > > >
> > >
> >
>
>
>
> --
> Best regards,
> Ilya
>

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message