Both authentication and authorization will hit the underlying security
repository (e.g. files, LDAP, etc.). For example, creating a JMS
connection and a consumer will result in 2 hits with the *same*
authentication request. This can cause unwanted (and unnecessary)
resource utilization, especially in the case of networked configuration
like LDAP.
There is already a rudimentary cache for authorization, but it is
cleared *totally* every 10 seconds by default (controlled via the
security-invalidation-interval setting), and it must be populated
initially which still results in duplicate auth requests.
This commit optimizes authentication and authorization via the following
changes:
- Replace our home-grown cache with Google Guava's cache. This provides
simple caching with both time-based and size-based LRU eviction. See more
at https://github.com/google/guava/wiki/CachesExplained. I also thought
about using Caffeine, but we already have a dependency on Guava and the
cache implementions look to be negligibly different for this use-case.
- Add caching for authentication. Both successful and unsuccessful
authentication attempts will be cached to spare the underlying security
repository as much as possible. Authenticated Subjects will be cached
and re-used whenever possible.
- Authorization will used Subjects cached during authentication. If the
required Subject is not in the cache it will be fetched from the
underlying security repo.
- Caching can be disabled by setting the security-invalidation-interval
to 0.
- Cache sizes are configurable.
- Management operations exist to inspect cache sizes at runtime.
This is allowing journal appends to happen in burst
during replication, by batching replication response
into the network at the end of the append burst.
I couldn't reproduce this with a test, but static code analysis led me
to this solution which is similar to the fix done for ARTEMIS-2592 via
e397a17796.
1 of 2) - Porting of HORNETMQ-1575
In a live-backup scenario, when live is down and backup becomes live, clients
using HA Connection Factories can failover automatically. However if a
client decides to create a new connection by itself (as in camel jms case)
there is a chance that the new connection is pointing to the dead live
and the connection won't be successful. The reason is that if the old
connection is gone the backup will not get a chance to announce itself
back to client so it fails on initial connection.
The fix is to let CF remember the old topology and use it on any
initial connection attempts.
Since getDiskStoreUsage on the ActiveMQServerControl is converting a
double to a long the value is always 0 in the management API. It should
return a double instead.
Adding this metric required moving the meter registration code from the
AddressInfo class to the ManagementService in order to get clean access
to both the AddressInfo and AddressControl classes.
The calculation used by
ActiveMQServerControlImpl.getDiskStoreUsagePercentage() is incorrect. It
uses disk space info with global-max-size which is for address memory.
Also, the existing getDiskStoreUsage() method *already* returns a
percentage of total disk store usage so this method seems redundant.
Justin Bertram
Clebert Suconic
Domenico Francesco Bruscino
Michael Pearce
franz1981
Robbie Gemmell
brusdev
Scott Werner
Howard Gao
Jan Šmucr