Some confusing explanation: flush(); Flushing is the process of synchronizing the underlying persistent store with persistable state held in memory.it will update or insert into your tables in the running transaction, but it may not commit those changes.
If the changes are anyways going to be persisted in the database only after the commit then why to flush in the middle of the code.
And after running the flush if any changes are made to the managed object then will that throw an Exception or will those get synchronized and then will get perisisted. If they get synchronized then again why flush in the first place.
The FlushMode defines when your persistence provider flushes new and changed entities to the database. Based on the JPA specification, it can either do that automatically before executing a query and before committing the transaction (FlushModeType. AUTO) or only before committing the transaction (FlushModeType.
The saveAndFlush() Method Unlike save(), the saveAndFlush() method flushes the data immediately during the execution. This method belongs to the JpaRepository interface of Spring Data JPA.
flush() does is to empty the internal SQL instructions cache, and execute it immediately to the database.
Flushing the session forces Hibernate to synchronize the in-memory state of the Session with the database (i.e. to write changes to the database). By default, Hibernate will flush changes automatically for you: before some query executions. when a transaction is committed.
In theory, you (as a user of JPA) should never (or in absolutely rare situations) get in a situation to call flush()
.
Flushing is the process of synchronizing the underlying persistent store with persistable state held in memory
In other words, on a flush()
all the insert, update, delete or whatever statements are actually called on the database, before a flush()
nothing happens on your database. Flushing is caused by a commit of your transaction or some kinds of database reads. For example if you execute a JPQL query, a flush()
has to be done to get the correct results from the database. But this is just very nice to know and completely handled by your JPA implementation.
There may be some situations you want to control this flushing on your own and then you can invoke it with flush()
.
Edit to answer the questions in comment:
Not on every read a flush is necessary, consider this scenario (one transaction):
Person p = em.find(Person.class, 234)
p.setAge(31)
Building b = em.find(Building.class, 123
select b from Building b where b.id = 123
Automatic flush occurs only before 4., because Eclipselink can't determine what you are gonna read, so the person's age must be up to date on the database before this read can occur. Before 3. there is no flush needed because Eclipselink knows that the update on a person can not affect a building.
To work with optimistic locking, you have to implement it. Read about the @Version
annotation here: https://blogs.oracle.com/carolmcdonald/entry/jpa_2_0_concurrency_and. Without that your entity will not use optimistic locking and the "last update wins".
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