Aside from adding audit logging for message acknowledgement this commit
also consolidates the two nearly identical acknowledge method
implementations in o.a.a.a.c.s.i.QueueImpl. This avoids duplicating
code for audit logging, plugin invocation, etc. There is no semantic
change.
Due to the multi-threaded AMQP implementation the ThreadLocal variables
used by the AuditLogger to track the username and remote address don't
work properly. Changes include:
- Passing the audit Subject (set during authentication) and the remote
address explicitly for audit logging on the relevant ServerSession
methods rather than relying on the AuditLogger's ThreadLocal
variables
- Audit logging core session creation *after* successful authentication
so that we have the proper Subject; this is especially important for
the SSL certificate authentication use-case
- Renaming some methods and variables in AuditLogger to more accurately
reflect their intended use
- Adding JavaDoc and refactoring the getCaller methods on AuditLogger
- Refactor audit log testing and add a new test
As a follow-up to #3618/dc7de893747b90b627d729f9f18a758bb4dad9d5 update
checkstyle to the latest version, restoring the originally intended
"RightCurly" style, and updating all the code to properly adhere to the
style as enforced by the new checkstyle version.
The version of checkstyle we used before the aforementioned commit had
a bug which didn't properly enforced our intended "RightCurly" style
(see https://github.com/checkstyle/checkstyle/issues/6345). That commit
changed the style to accommodate the handful of unintended style
violations. This commit reverts that change for 2 main reasons:
- The style was always intended to use `alone` for both `METHOD_DEF`
and `CTOR_DEF`.
- There are over 1,000 existing uses of the intended style and around
30 violations of this style which were unintentionally allowed.
Reverting the style back to the original and cleaning up the unintented
violations makes the code more consistent and prevents further style
inconsistencies in the future.
There were a handful of other changes related to checkstyle bugs which
allowed unintended style violations. These were related to indentation
levels.
This closes#3619
(with some minor changes from Robbie to fix remaining violations)
* removing the JMS dependency on AMQP module
* fixing destinations usage.
* refactoring to remove some JMS usage and make exceptions a bit better
Jira: https://issues.apache.org/jira/browse/ARTEMIS-3113
Since the libaio.close is now async
there might be a situation with more than one close called during a server.stop();
This should deal with that scenario
Using a ThreadLocal for the audit user information works in most cases,
but it can fail when dispatching messages to consumers because threads
are taken out of a pool to do the dispatching and those threads may not
be associated with the proper credentials. This commit fixes that
problem with the following changes:
- Passes the Subject explicitly when logging audit info during dispatch
- Relocates security audit logging from the SecurityManager
implementation(s) to the SecurityStore implementation
- Associates the Subject with the connection properly with the new
security caching
- Fixed an issue where I needed to set connection to null after closing it
- Added more tests on QpidDispatchPeerTest (tests i would have done manually, and reproduced a few issues along the way)
Making Scheduled task to be more reliable when
using scheduledComponent.delay() method and saving
periodic tasks to be skipped although on correct timing
This reverts commit dbb3a90fe6.
The org.apache.activemq.artemis.core.server.Queue#getRate method is for
slow-consumer detection and is designed for internal use only.
Furthermore, it's too opaque to be trusted by a remote user as it only
returns the number of message added to the queue since *the last time
it was called*. The problem here is that the user calling it doesn't
know when it was invoked last. Therefore, they could be getting the
rate of messages added for the last 5 minutes or the last 5
milliseconds. This can lead to inconsistent and misleading results.
There are three main ways for users to track rates of message
production and consumption:
1. Use a metrics plugin. This is the most feature-rich and flexible
way to track broker metrics, although it requires tools (e.g.
Prometheus) to store the metrics and display them (e.g. Grafana).
2. Invoke the getMessageCount() and getMessagesAdded() management
methods and store the returned values along with the time they were
retrieved. A time-series database is a great tool for this job. This is
exactly what tools like Prometheus do. That data can then be used to
create informative graphs, etc. using tools like Grafana. Of course, one
can skip all the tools and just do some simple math to calculate rates
based on the last time the counts were retrieved.
3. Use the broker's message counters. Message counters are the broker's
simple way of providing historical information about the queue. They
provide similar results to the previous solutions, but with less
flexibility since they only track data while the broker is up and
there's not really any good options for graphing.
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.
HumanReadableByteCountTest test is no longer failing under environments with locales defining different number format.
The function now returns values according to the Locale.ROOT locale specification.
- when sending messages to DLQ or Expiry we now use x-opt legal names
- we now support filtering thorugh annotations if using m. as a prefix.
- enabling hyphenated_props: to allow m. as a prefix
Justin Bertram
Clebert Suconic
Robbie Gemmell
gtully
Domenico Francesco Bruscino
Sebastian Thomschke
franz1981
Andy Taylor
Michael Pearce
Jan Šmucr
Emmanuel Hugonnet
brusdev