Prior to this commit, the term "field" was sometimes used to refer to a
database column and sometimes used to refer to a bean property, which
lead to confusion in the Javadoc as well as within the code.
This commit addresses this by avoiding use of the term "field".
This commit introduces SqlServerSequenceMaxValueIncrementer to support
SQL Server sequences, complementing the existing
SqlServerMaxValueIncrementer for table-based support.
Closes gh-29447
SQLErrorCodeSQLExceptionTranslator#USER_PROVIDED_ERROR_CODES_FILE_PRESENT
evaluation at build time combined with the lazy
SQLErrorCodesFactory#instance initialization allow to
avoid making SQLErrorCodesFactory constructor reachable
when no custom sql-error-codes.xml is provided.
Closes gh-29294
This commit also removes ResourcePropertiesPersister which
was introduced in 5.3 specifically for spring.xml.ignore
flag and which is expected to be used only internally by
Spring Framework. DefaultPropertiesPersister should be used
instead.
Closes gh-29277
This commit adds a reflection hint on
EmbeddedDatabaseFactory$EmbeddedDataSourceProxy#shutdown when
EmbeddedDatabaseFactory is reachable in order to allow its usage
as bean destroy method.
Closes gh-29259
As of Java 18, the serial lint warning in javac has been expanded to
check for class fields that are not marked as `Serializable`.
See https://www.oracle.com/java/technologies/javase/18all-relnotes.html#JDK-8202056
In the Spring Framework codebase, this can happen with `Map`, `Set` or
`List` attributes which are often assigned with an unmodifiable
implementation variant. Such implementations are `Serializable` but
cannot be used as field types.
This commit ensures that the following changes are applied:
* fields are marked as transient if they can't be serialized
* classes are marked as `Serializable` if this was missing
* `@SuppressWarnings("serial")` is applied where relevant
These tests often fail on the CI server and do not provide any
meaningful information when they fail, since only a proper benchmark
would suffice. Furthermore, the test method was introduced 10 years
ago to address deficiencies in JDK 7 which no longer exist.
See gh-14415
Prior to this commit, the `ConcurrentLruCache` implementation would not
perform well under certain conditions. As long as the cache capacity was
not reached, the cache would avoid maintaining an eviction queue
(reordering entries depending with least/most recently read). When the
cache capacity was reached, the LRU queue was updated for each
read/write operation. This decreased performance significantly under
contention when the capacity was reached.
This commit completely rewrites the internals of `ConcurrentLruCache`.
`ConcurrentLruCache` is now a specialized version of the
`ConcurrentLinkedHashMap` [1]. This change focuses on buferring read and
write operations, only processing them at certain times to avoid
contention.
When a cached entry is read, a read operation is queued and buffered
operations are drained if the buffer reached a fixed limit. When a new
cache entry is added or removed, a write operation is queued and
triggers a drain attempt. When the capacity is outgrown, the cache polls
items from the eviction queue, which maintains elements with the
least recently used ones first. Entries are removed until the capacity
is under control.
The behavior described here and the buffer sizes are optimized with the
number of available processors in mind. Work is localized as much as
possible on a per-thread basis to avoid contention on the eviction queue.
The new implementation has been tested with the JMH benchmark provided
here, comparing the former `COncurrentLruCache`, the new implementation
as well as the `ConcurrentLinkedHashMap` [1].
When testing with a cache reaching capacity, under contention, with a
10% cache miss, we're seeing a 40x improvement compared to the previous
implementation and performance on par with the reference.
See [2] for how to replicate the benchmark.
[1] https://github.com/ben-manes/concurrentlinkedhashmap
[2] https://github.com/spring-projects/spring-framework/wiki/Micro-Benchmarks
Closes gh-26320
Sam Brannen
Johnny Lim
Juergen Hoeller
Sam Brannen
Kulwant Singh
Mahmoud Ben Hassine
Sébastien Deleuze
Marc Wrobel
Brian Clozel
ben-enfuse-io
Stephane Nicoll
Jiayi Li