- Split protocols into individual chapters
- Reorganize summary to flow more logically
- Fill in missing parameters in configuration index
- Normalize spaces for ordered and unordered lists
- Re-wrap lots of text for readability
- Fix incorrect XML snippets
- Normalize table formatting
- Improve internal links with anchors
- Update content to reflect new address model
- Resized architecture images to avoid excessive white-space
- Update some JavaDoc
- Update some schema elements
- Disambiguate AIO & ASYNCIO where necessary
- Use URIs instead of Objects in code examples
Authentication failures are currently only logged for CORE clients.
This change puts the logging in a central location which all protocols
use for authentication so that authentication failures are logged for
all protocols.
Calling close multiple times on ServerConsumer can result in multiple
notifications being routed around the cluster. This causes cluster
topology info to become skewed. Which affects a number of components
such as message redistribution, metrics and can eventually cause OOM
should multiple queues be redistributing at the same time.
After sending pages, the thread will hold the storage manager write lock
and send synchronization finished packet(use the parent thread pool) to
the backup node. At the same time, thread pool is full bcs they are
waiting for the storage manager read lock to write the page or journal,
leading to replication starting failure. Here we use io executor to send
replicate packet to fix thread pool starvation problem.
Quorum voting is used by both the live and the backup to decide what to do if a replication connection is disconnected.
Basically, the server will request each live server in the cluster to vote as to whether it thinks the server it is replicating to or from is still alive.
You can also configure the time for which the quorum manager will wait for the quorum vote response.
Currently, the value is hardcoded as 30 sec. We should change this 30-second wait to be configurable.
When setting "default-max-consumers" in addressing setting in broker.xml
It has no effect on the "max-consumers" property on matching address queues.
Tests added as part of a previous commit
This closes#2107
1. Add tests case to verify issue and fix, tests also tests for same behavior using CORE, OPENWIRE and AMQP JMS Clients.
2. Update Core Client to check for queue before creating, sharedQueue as per createQueue logic.
3. Update ServerSessionPacketHandler to handle packets from old clients to perform to implement the same fix server side for older clients.
4. Correct AMQP protocol so correct error code is returned on security exception so that amqp jms can correctly throw JMSsecurityException
5. Correct AMQP protocol to check for queue exists before create
6. Correct OpenWire protocol to check for address exists before create
When database persistence and no shared store option is being used,
Artemis is choosing to use InVMNodeManager, that is not providing
the same behaviour of FileLockNodeManager.
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
PageCursorProviderImpl is not handling any pending cleanup tasks
on stop, leaving paging enabled due to the remaining pages to be
cleared up.
PagingStoreImpl is responsible to trigger the flushing of pending
tasks on PageCursorProviderImpl before stopping it and to try to
execute any remaining tasks on the owned common executor, before
shutting it down.
It fixes testTopicsWithNonDurableSubscription.
NotificationActiveMQServerPlugin and LoggingActiveMQServerPlugin are
implementing the deprecated version of
ActiveMQServerPlugin::messageExpired that is not called by the
new version of the method or any other part of the code
This fixing test org.apache.activemq.artemis.tests.integration.management.NotificationTest#testMessageExpired
It avoid using the system clock to perform the locks logic
by using the DBMS time.
It contains several improvements on the JDBC error handling
and an improved observability thanks to debug logs.