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)
This commit is fixing:
- a missing commit that can make leak a connection
- restricting default specific commons-dbcp2 to the default data source
- setting poolPreparedStatements true by default
- configured embedded Derby to be in-memory to speedup tests
It add additional required fixes:
- Fixed uncommitted deleted tx records
- Fixed JDBC authorization on test
- Using property-based version for commons-dbcp2
- stopping thread pool after activation to allow JDBC lease locks to release the lock
- centralize JDBC network timeout configuration and save repeating it
- adding dbcp2 as the default pooled DataSource to be used
Replaces direct jdbc connections with dbcp2 datasource. Adds
configuration options to use alternative datasources and to alter the
parameters. While adding slight overhead, this vastly improves the
management and pooling capabilities with db connections.
This is a Large commit where I am refactoring largeMessage Body out of CoreMessage
which is now reused with AMQP.
I had also to fix Reference Counting to fix how Large Messages are Acked
And I also had to make sure Large Messages are transversing correctly when in cluster.
Issue: The BLOB manipulation is done using PostgreSQL internal classes starting from PGConnection.
This leads to ClasCastExceptions if the connection is wrapped in a pool or if the driver is in a different classloader (WildFly).
Fix: unwrap the connection and if the PostgreSQL classes are not directly available uses reflection to manipulate the BLOBs.
Jira: https://issues.apache.org/jira/browse/ARTEMIS-2626
AbstractJDBCDriver would hold an instance to AbstractJDBCDriver through an innner class,
that would hold an ActiveMQServerImpl.
That means Servers would be leaking for the entire duration of the testsuite when using JDBC.
There is no test for this as we don't have a way to embed/test Postgres.
It will need to be verified externally. However, given the exception the
fix looks solid.
DB2 metadata checks should erroneously report stale table existence on
not existing/just deleted table, making the subsequent warning logs
of failed SELECT COUNT useless and scaring: should be better to let
them lowered to INFO level
Compaction is now reusing direct ByteBuffers on both
reading and writing with explicit and deterministic
release to avoid high peak of native memory utilisation
after compaction.
Activate by enabling TRACE logging for:
org.apache.activemq.artemis.jdbc.store.drivers.AbstractJDBCDriver
This doesn't log *all* JDBC operations, just those that are used by the
JDBC store.
DB2 JDBC driver fail to retrieve metadata information
if table names are lower-cases: similarly to Oracle, better
force any table name to be upper-cases to avoid broker being
unable to restart when lower-cases table names are used
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.