On Tue, Apr 11, 2017 at 4:23 PM, Shawn Crawley <[email protected]>
wrote:
> As far as I know I'm just hitting the cluster by letting the load balancer
> spread the calls. I'm just hitting the central hub endpoint and doing
> pretty generic rest calls for creating and deleting layers. It's set up as
> a Master/Slave cluster with shared Data Directory.
>
Ah yes, that's a sure recipe for disaster :-)
> To try to keep the cluster in sync, we wrote our own script that manually
> issues a full configuration reload. After looking over the suggested
> documentation a bit, I learned that the "internal catalog is kept pinned in
> memory by the GeoServer." Could this be why even after manually deleting
> all of the layer/style files from the data directory that the GeoServer is
> still looking for them and crashing, since it thinks according to its
> internal memory that they still exist even though I deleted them. I thought
> performing the reload of the catalog and configuration would flush/reload
> that memory, but if so it is still getting hung up on something... At this
> point I'll likely just perform a clean install of the GeoSever, but if you
> have any more insight, that would be helpful.
>
Reloading does indeed flush the cache and reads everything back from the
data directory, but if you spread calls across the cluster, the nodes get
inconsistent, unless it's issuing one change, reload all nodes, another
change, reload all nodes, and so on, which is really not practical.
If you don't issue changes too often, elect one machine as the master, hit
it directly, and then reload all others. If instead you make many, you'll
need either jms config or jdbcconfig+hazecalst clustering,
but even in those cases, it's still best to only hit a single machine in
the cluster with config changes, as the propagation of changes never
happens instantanealy (so you might stumble in temporary inconsistency,
like trying to create a feature type off a datastore that still does not
exist on the receiving node).
Cheers
Andrea
--
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Ing. Andrea Aime
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