The core server session tracks details about producers like what
addresses have had messages sent to them, the most recent message ID
sent to each address, and the number of messages sent to each address.
This information is made available to users via the
listProducersInfoAsJSON method on the various management interfaces
(JMX, web console, etc.). However, in situations where a server session
is long lived (e.g. in a pool) and is used to send to many different
addresses (e.g. randomly named temporary JMS queues) this info can
accumulate to a problematic degree. Therefore, we should limit the
amount of producer details saved by the session.
Wait netty event loop group shutdown to avoid too many opened FDs after
server stops, when netty configuration is used. Clear server
activateCallbacks to avoid reactivation of previous nodeManager and
consequent FD leaks on restart. Fix LargeServerMessageImpl.copy to avoid
FD leaks when a large message expiry or it is sent to DLA. Terminate
HawtDispatcher global queue to avoid pipes and eventpolls leaks after a
MQTT test.
cherry-picking commit 9617058ba0649af4eea15ce8793f86de827c4b7f
NO-JIRA adding check for open FD on the testsuite
cherry-picking commit 0facb7ddf4d3baa14a3add4290684aff7fd46053
NO-JIRA addressing connections leaks on integration tests
If a jms client (be it openwire, amqp, or core jms) receives a message that
is from a different protocol, the JMSMessageID maybe null when the
jms client expects it.
* Upgrading versions
* Adding wildfly-common dependency as jboss-logmanager now depends on it
for simple common operations such as getting hostname or process id
* Updating bootclasspath with wildfly-common
The Audit log allows user to log some important actions,
such as ones performed via management APIs or clients,
like queue management, sending messages, etc.
The log tries to record who (the user if any) doing what
(like deleting a queue) with arguments (if any) and timestamps.
By default the audit log is disabled. Through configuration can
be easily turned on.
Refactored thread local ByteBuffer pooling, alignment
and zeroing in order to avoid duplicate code and
improve code coverage with tests.
In addition are being provided faster branchless
alignment operations and optional zeroing of
pooled ByteBuffers for both ASYNCIO and
NIO/MAPPED journal types.
Add ability to configure when creating auto created queues at the queue level
Add support for configuring message count check
Add test cases
Update docs
Support using group buckets on a queue for better local group scaling
Support disabling message groups on a queue
Support rebalancing groups when a consumer is added.
* Using SpawnedVMSupport (used to be on testsuite, moving it to Utils)
* Building the classpath for ./lib, similar to what happens on Bootstrap
* Using Path as much as possible to avoid issues encoding files
Any checkProperties();<usage of this.properties> pattern has been
replaced by an atomic checkProperties().<usage of returned properties>
to help both performance and consistency.
The cleanup is now performed into CoreTypedProperties both
for performance reasons (avoid lock/unlock many times)
and consistency, given that the operation is now atomic.
Add consumer priority support
Includes refactor of consumer iterating in QueueImpl to its own logical class, to be able to implement.
Add OpenWire JMS Test - taken from ActiveMQ5
Add Core JMS Test
Add AMQP Test
Add Docs
There's a *slight* semantic change with the behavior of the queue query
and binding query to make them consistent with the address query, namely
that they will return the name of the queue and the name of the address
in every case and the returned names will be not use the FQQN syntax but
will be parsed to reflect their actual names in the broker.
Implement custom LVQ Key and Non-Destructive in broker - protocol agnostic
Make feature configurable via broker.xml, core apis and activemqservercontrol
Add last-value-key test cases
Add non-destructive with lvq test cases
Add non-destructive with expiry-delay test cases
Update documents
Add new methods to support create, update with new attributes
Refactor to pass through queue-attributes in client side methods to reduce further method changes for adding new attributes in future and avoid methods with endless parameters. (note: in future this should prob be done server side too)
Update existing test cases and fake impls for new methods/attributes
GlobalDiskFullTest was broken before this fix.
Basically when using multiple addresses over a session you would miss flow credits on all your producers except to the first one
that ran out of credit.
Add Concurrency Test to expose concurrency errors seen in logs.
Add Fix to ensure TypedProperties to ensure threadsafety
Add forEach and forEachKey to allow for provide a thread safe way of iterating through keys and values, without needing to duplicate the collection.
Add getMapNames method to remove code duplication and to ensure thread safe
Currently we get.
java.lang.IndexOutOfBoundsException: null
at org.apache.activemq.artemis.api.core.SimpleString.readSimpleString(SimpleString.java:183)
at org.apache.activemq.artemis.api.core.SimpleString$ByteBufSimpleStringPool.create(SimpleString.java:584)
....
Should be
java.lang.IndexOutOfBoundsException: Error reading in simpleString, length=YYY is greater than readableBytes=XXX
at org.apache.activemq.artemis.api.core.SimpleString.readSimpleString(SimpleString.java:183)
at org.apache.activemq.artemis.api.core.SimpleString$ByteBufSimpleStringPool.create(SimpleString.java:584)
...
Replace guava Preconditions with artemis Preconditions
Replace guava Predicate with java Predicate
Replace guava Ordering with java Comparator
Replace guava Immutable, with ArrayList/Set and then wrap with unmodifiable
It includes:
- Message References: no longer uses boxed primitives and AtomicInteger
- Node: intrusive nodes no longer need a reference field holding itself
- RefCountMessage: no longer uses AtomicInteger, but AtomicIntegerFieldUpdater
Most of the visibility guarantees of size/capacity fields modifications are already provided through optimistic locking, hence it could be used it instead of volatile set(s) on put/remove, making those methods more efficient.
Clebert Suconic
Tom
Justin Bertram
brusdev
Tomas Hofman
Dmitry Volodin
Howard Gao
Emmanuel Hugonnet
Jiri Danek
Michael André Pearce
Francesco Nigro
henock
Martyn Taylor
Timothy Bish
Stanislav Knot
yang wei