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Posted to dev@ignite.apache.org by Alex Plehanov <pl...@gmail.com> on 2018/12/04 09:46:07 UTC
[DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Hi Igniters,
In the current implementation, cache metrics are collected on each node and
sent across the whole cluster with discovery message
(TcpDiscoveryMetricsUpdateMessage) with configured frequency
(MetricsUpdateFrequency, 2 seconds by default) even if no one requested
them.
If there are a lot of caches and a lot of nodes in the cluster, metrics
update message (which contain each metric for each cache on each node) can
reach a critical size.
Also frequently collecting all cache metrics have a negative performance
impact (some of them just get values from AtomicLong, but some of them need
an iteration over all cache partitions).
The only way now to disable cache metrics collecting and sending with
discovery message is to disable statistics for each cache. But this also
makes impossible to request some of cache metrics locally (for the current
node only). Requesting a limited set of cache metrics on the current node
doesn't have such performance impact as the frequent collecting of all
cache metrics, but sometimes it's enough for diagnostic purposes.
As a workaround I have filled and implemented ticket [1], which introduces
new system property to disable cache metrics sending with
TcpDiscoveryMetricsUpdateMessage (in case this property is set, the message
will contain only node metrics). But system property is not good for a
permanent solution. Perhaps it's better to move such property to public API
(to IgniteConfiguration for example).
Also maybe we should change cache metrics distributing strategy? For
example, collect metrics by request via communication SPI or subscribe to a
limited set of cache/metrics, etc.
Thoughts?
[1]: https://issues.apache.org/jira/browse/IGNITE-10172
Re: [DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Posted by Zhenya Stanilovsky <ar...@mail.ru.INVALID>.
hi, Alex.
imo:
1. metrics through discovery require refactoring.
2. local cache metrics should be available (if configured) on each node.
3. there must be an opportunity to configure metrics in runtime.
thanks.
>
>
>Hi Igniters,
>
>In the current implementation, cache metrics are collected on each node and
>sent across the whole cluster with discovery message
>(TcpDiscoveryMetricsUpdateMessage) with configured frequency
>(MetricsUpdateFrequency, 2 seconds by default) even if no one requested
>them.
>If there are a lot of caches and a lot of nodes in the cluster, metrics
>update message (which contain each metric for each cache on each node) can
>reach a critical size.
>
>Also frequently collecting all cache metrics have a negative performance
>impact (some of them just get values from AtomicLong, but some of them need
>an iteration over all cache partitions).
>The only way now to disable cache metrics collecting and sending with
>discovery message is to disable statistics for each cache. But this also
>makes impossible to request some of cache metrics locally (for the current
>node only). Requesting a limited set of cache metrics on the current node
>doesn't have such performance impact as the frequent collecting of all
>cache metrics, but sometimes it's enough for diagnostic purposes.
>
>As a workaround I have filled and implemented ticket [1], which introduces
>new system property to disable cache metrics sending with
>TcpDiscoveryMetricsUpdateMessage (in case this property is set, the message
>will contain only node metrics). But system property is not good for a
>permanent solution. Perhaps it's better to move such property to public API
>(to IgniteConfiguration for example).
>
>Also maybe we should change cache metrics distributing strategy? For
>example, collect metrics by request via communication SPI or subscribe to a
>limited set of cache/metrics, etc.
>
>Thoughts?
>
>[1]: https://issues.apache.org/jira/browse/IGNITE-10172
--
Zhenya Stanilovsky
Re: [DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Posted by Alex Plehanov <pl...@gmail.com>.
Denis, I measure the impact of metrics collecting on my laptop, it's about
5 seconds on each node for collecting metrics of 1000 caches (all caches in
one cache group) with 32000 partitions. All this time tcp-disco-msg-worker
is blocked.
Guys, thanks for your proposals, I'd filled ticket [1].
[1]: https://issues.apache.org/jira/browse/IGNITE-10642
вт, 4 дек. 2018 г. в 18:07, Alexey Kuznetsov <ak...@apache.org>:
> Hi,
>
> One of the problems with metrics is a huge size in case when a lot caches
> started on node (for example, I see 7000 caches).
> We have to think how to compact them.
> Not all metrics changed frequently, so, we may store locally and send over
> wire only a difference from previous collect.
>
> And think carefully about store format. For example, if current cache
> metrics will be passed as JSON object,
> then 70% of it will be strings with metrics names.
>
>
> On Tue, Dec 4, 2018 at 7:22 PM Vladimir Ozerov <vo...@gridgain.com>
> wrote:
>
> > Hi Alex,
> >
> > Agree with you. Most of the time these distribution of metrics is not
> > needed. In future we will have more and more information which
> potentially
> > needs to be shared between nodes. E.g. IO statistics, SQL statistics for
> > query optimizer, SQL execution history, etc. We need common mechanics for
> > this, so I vote for your proposal:
> > 1) Data is collected locally
> > 2) If a node needs to collect data from the cluster, it sends explicit
> > request over communication SPI
> > 3) For performance reasons we may consider caching - return previously
> > collected metrics without re-requesting them again if they are not too
> old
> > (configurable)
> >
> > On Tue, Dec 4, 2018 at 12:46 PM Alex Plehanov <pl...@gmail.com>
> > wrote:
> >
> > > Hi Igniters,
> > >
> > > In the current implementation, cache metrics are collected on each node
> > and
> > > sent across the whole cluster with discovery message
> > > (TcpDiscoveryMetricsUpdateMessage) with configured frequency
> > > (MetricsUpdateFrequency, 2 seconds by default) even if no one requested
> > > them.
> > > If there are a lot of caches and a lot of nodes in the cluster, metrics
> > > update message (which contain each metric for each cache on each node)
> > can
> > > reach a critical size.
> > >
> > > Also frequently collecting all cache metrics have a negative
> performance
> > > impact (some of them just get values from AtomicLong, but some of them
> > need
> > > an iteration over all cache partitions).
> > > The only way now to disable cache metrics collecting and sending with
> > > discovery message is to disable statistics for each cache. But this
> also
> > > makes impossible to request some of cache metrics locally (for the
> > current
> > > node only). Requesting a limited set of cache metrics on the current
> node
> > > doesn't have such performance impact as the frequent collecting of all
> > > cache metrics, but sometimes it's enough for diagnostic purposes.
> > >
> > > As a workaround I have filled and implemented ticket [1], which
> > introduces
> > > new system property to disable cache metrics sending with
> > > TcpDiscoveryMetricsUpdateMessage (in case this property is set, the
> > message
> > > will contain only node metrics). But system property is not good for a
> > > permanent solution. Perhaps it's better to move such property to public
> > API
> > > (to IgniteConfiguration for example).
> > >
> > > Also maybe we should change cache metrics distributing strategy? For
> > > example, collect metrics by request via communication SPI or subscribe
> > to a
> > > limited set of cache/metrics, etc.
> > >
> > > Thoughts?
> > >
> > > [1]: https://issues.apache.org/jira/browse/IGNITE-10172
> > >
> >
>
>
> --
> Alexey Kuznetsov
>
Re: [DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Posted by Alexey Kuznetsov <ak...@apache.org>.
Hi,
One of the problems with metrics is a huge size in case when a lot caches
started on node (for example, I see 7000 caches).
We have to think how to compact them.
Not all metrics changed frequently, so, we may store locally and send over
wire only a difference from previous collect.
And think carefully about store format. For example, if current cache
metrics will be passed as JSON object,
then 70% of it will be strings with metrics names.
On Tue, Dec 4, 2018 at 7:22 PM Vladimir Ozerov <vo...@gridgain.com> wrote:
> Hi Alex,
>
> Agree with you. Most of the time these distribution of metrics is not
> needed. In future we will have more and more information which potentially
> needs to be shared between nodes. E.g. IO statistics, SQL statistics for
> query optimizer, SQL execution history, etc. We need common mechanics for
> this, so I vote for your proposal:
> 1) Data is collected locally
> 2) If a node needs to collect data from the cluster, it sends explicit
> request over communication SPI
> 3) For performance reasons we may consider caching - return previously
> collected metrics without re-requesting them again if they are not too old
> (configurable)
>
> On Tue, Dec 4, 2018 at 12:46 PM Alex Plehanov <pl...@gmail.com>
> wrote:
>
> > Hi Igniters,
> >
> > In the current implementation, cache metrics are collected on each node
> and
> > sent across the whole cluster with discovery message
> > (TcpDiscoveryMetricsUpdateMessage) with configured frequency
> > (MetricsUpdateFrequency, 2 seconds by default) even if no one requested
> > them.
> > If there are a lot of caches and a lot of nodes in the cluster, metrics
> > update message (which contain each metric for each cache on each node)
> can
> > reach a critical size.
> >
> > Also frequently collecting all cache metrics have a negative performance
> > impact (some of them just get values from AtomicLong, but some of them
> need
> > an iteration over all cache partitions).
> > The only way now to disable cache metrics collecting and sending with
> > discovery message is to disable statistics for each cache. But this also
> > makes impossible to request some of cache metrics locally (for the
> current
> > node only). Requesting a limited set of cache metrics on the current node
> > doesn't have such performance impact as the frequent collecting of all
> > cache metrics, but sometimes it's enough for diagnostic purposes.
> >
> > As a workaround I have filled and implemented ticket [1], which
> introduces
> > new system property to disable cache metrics sending with
> > TcpDiscoveryMetricsUpdateMessage (in case this property is set, the
> message
> > will contain only node metrics). But system property is not good for a
> > permanent solution. Perhaps it's better to move such property to public
> API
> > (to IgniteConfiguration for example).
> >
> > Also maybe we should change cache metrics distributing strategy? For
> > example, collect metrics by request via communication SPI or subscribe
> to a
> > limited set of cache/metrics, etc.
> >
> > Thoughts?
> >
> > [1]: https://issues.apache.org/jira/browse/IGNITE-10172
> >
>
--
Alexey Kuznetsov
Re: [DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Posted by Vladimir Ozerov <vo...@gridgain.com>.
Hi Alex,
Agree with you. Most of the time these distribution of metrics is not
needed. In future we will have more and more information which potentially
needs to be shared between nodes. E.g. IO statistics, SQL statistics for
query optimizer, SQL execution history, etc. We need common mechanics for
this, so I vote for your proposal:
1) Data is collected locally
2) If a node needs to collect data from the cluster, it sends explicit
request over communication SPI
3) For performance reasons we may consider caching - return previously
collected metrics without re-requesting them again if they are not too old
(configurable)
On Tue, Dec 4, 2018 at 12:46 PM Alex Plehanov <pl...@gmail.com>
wrote:
> Hi Igniters,
>
> In the current implementation, cache metrics are collected on each node and
> sent across the whole cluster with discovery message
> (TcpDiscoveryMetricsUpdateMessage) with configured frequency
> (MetricsUpdateFrequency, 2 seconds by default) even if no one requested
> them.
> If there are a lot of caches and a lot of nodes in the cluster, metrics
> update message (which contain each metric for each cache on each node) can
> reach a critical size.
>
> Also frequently collecting all cache metrics have a negative performance
> impact (some of them just get values from AtomicLong, but some of them need
> an iteration over all cache partitions).
> The only way now to disable cache metrics collecting and sending with
> discovery message is to disable statistics for each cache. But this also
> makes impossible to request some of cache metrics locally (for the current
> node only). Requesting a limited set of cache metrics on the current node
> doesn't have such performance impact as the frequent collecting of all
> cache metrics, but sometimes it's enough for diagnostic purposes.
>
> As a workaround I have filled and implemented ticket [1], which introduces
> new system property to disable cache metrics sending with
> TcpDiscoveryMetricsUpdateMessage (in case this property is set, the message
> will contain only node metrics). But system property is not good for a
> permanent solution. Perhaps it's better to move such property to public API
> (to IgniteConfiguration for example).
>
> Also maybe we should change cache metrics distributing strategy? For
> example, collect metrics by request via communication SPI or subscribe to a
> limited set of cache/metrics, etc.
>
> Thoughts?
>
> [1]: https://issues.apache.org/jira/browse/IGNITE-10172
>
Re: [DISCUSSION] Performance issue with cluster-wide cache metrics distribution
Posted by Denis Mekhanikov <dm...@gmail.com>.
Alex,
Did you measure the impact of metrics collection? What is the overhead you
are trying to avoid?
Just to make it clear, MetricUpdateMessage-s are used as heartbeats.
So they are sent anyways, even if no metrics are distributed between nodes.
Denis
вт, 4 дек. 2018 г. в 12:46, Alex Plehanov <pl...@gmail.com>:
> Hi Igniters,
>
> In the current implementation, cache metrics are collected on each node and
> sent across the whole cluster with discovery message
> (TcpDiscoveryMetricsUpdateMessage) with configured frequency
> (MetricsUpdateFrequency, 2 seconds by default) even if no one requested
> them.
> If there are a lot of caches and a lot of nodes in the cluster, metrics
> update message (which contain each metric for each cache on each node) can
> reach a critical size.
>
> Also frequently collecting all cache metrics have a negative performance
> impact (some of them just get values from AtomicLong, but some of them need
> an iteration over all cache partitions).
> The only way now to disable cache metrics collecting and sending with
> discovery message is to disable statistics for each cache. But this also
> makes impossible to request some of cache metrics locally (for the current
> node only). Requesting a limited set of cache metrics on the current node
> doesn't have such performance impact as the frequent collecting of all
> cache metrics, but sometimes it's enough for diagnostic purposes.
>
> As a workaround I have filled and implemented ticket [1], which introduces
> new system property to disable cache metrics sending with
> TcpDiscoveryMetricsUpdateMessage (in case this property is set, the message
> will contain only node metrics). But system property is not good for a
> permanent solution. Perhaps it's better to move such property to public API
> (to IgniteConfiguration for example).
>
> Also maybe we should change cache metrics distributing strategy? For
> example, collect metrics by request via communication SPI or subscribe to a
> limited set of cache/metrics, etc.
>
> Thoughts?
>
> [1]: https://issues.apache.org/jira/browse/IGNITE-10172
>