I have 2 questions related to each other
Q1 What exactly is a transaction boundary in hibernate/Spring Data JPA.
I am new to JPA , so please give a very basic example so I can understand as I tried to read multiple blogs but still not very clear.
Q2 And on top of it, what does this mean-
In hibernate, persist() method guarantees that it will not execute an INSERT statement if it is called outside of transaction boundaries, save() method does not guarantee the same.
What is outside and inside of a transaction boundary and how executions are performed outside boundaries?
A transaction is a unit of work that is either executed completely or not at all.
Transactions are fairly simple to use in a typical relational database.
You start a transaction by modifying some data. Every modification starts a transaction, you typically can't avoid it. You end the transaction by executing a commit or rollback.
Before your transaction is finished your changes can't be seen in other transactions (there are exceptions, variations and details). If you rollback your transaction all your changes in the database are undone.
If you commit your changes your changes become visible to other transactions, i.e. for other users connected to the same database. Implementations vary among many other things if changes become visible only for new transactions or also for already running transactions.
A transaction in JPA is a database transaction plus additional stuff.
You can start and end a transaction by getting a Transaction object and calling methods on it. But nobody does that anymore since it is error prone. Instead you annotate methods with #Transaction and entering the method will start a transaction and exiting the method will end the transaction.
The details are taken care of by Spring.
The tricky part with JPAs transactions is that within a JPA transaction JPA might (and will) choose to delay or even avoid read and write operations as long as possible. For example when you load an entity, and load it again in the same JPA transaction, JPA won't load it from the database but return the same instance it returned during the first load operation. If you want to learn more about this I recommend looking into JPAs first level cache.
A transaction boundary it's where the transaction starts or is committed/rollbacked.
When a transaction is started, the transaction context is bound to the current thread. So regardless of how many endpoints and channels you have in your Message flow your transaction context will be preserved as long as you are ensuring that the flow continues on the same thread. As soon as you break it by introducing a Pollable Channel or Executor Channel or initiate a new thread manually in some service, the Transactional boundary will be broken as well.
some other people ask about it - look it up.
If you do not understand something write to me again more accurately and I will explain.
I really hope I helped!
The issue:
Within a session if we have to use a modifying query such as an update, that change won't be visible within the session scope. One way to make it visible is to set the modifying query to clearAutomatically=true in the #Modifying annotation. The problem is that this change will effect all the changes in the same session, i.e. objects that were already save previous to that call will be voided and the changed won't be persisted once the transaction closes.
My question is: what's the best way to deal with this issue when clearAutomatically is not an option?
Depending on the Hibernate Session FLUSHMODE, your persistent objects may be synchronized with the persistence store before a query is executed by performing a flush() operation on the Session. The flush process synchronizes database state with session state by detecting state changes and executing SQL statements, but it does not commit the transaction.
The default FLUSHMODE is AUTO, which is described as :
The Session is sometimes flushed before query execution in order to ensure that queries never return stale state. This is the default flush mode. If you are getting stale data returned in your queries, flushing the Session manually should resolve your issue.
If two transactions (both at RR isolation level) ask for the same item which is 2nd-level cached, and then they modify and store this item. Now, for reading that item, they did not run any SQL because it's cached; so in this case, will they actually start a data base transaction? And when they commit their changes, will they run into lost update problem?
From a pessimistic point of view:
If the second level cache is configured to participate in the transaction, then only the one that first acquired the write lock would be able to modify the cached object, and then write the change to the database. When the second transaction wants to acquire the write lock, it would have to wait until the first transaction ends and releases it.
With optimistic locking, I guess a Concurrent Modification Exception (or similar name) should happen and the second transaction would retry the operation.
What's happening is i'm performing a read of some records, say Car where color = red, and it returns 10 cars. Then I iterate over those 10 cars, and update a date in that car object, i.e. car.setDate(5/1/2010). Then I perform another read from Cars where color = green. I have sql logging turned on and I noticed when i call query.list() it actually prints out some update statements to the Cars table, and I end up getting a lock wait timeout. Also note, this is all done in a single database transaction, so I can understand the lock wait timeout - it seems like i have a lock on the table i'm reading from, and in that same transaction i'm trying to update it before i release the lock on the table. But it seems like it shouldn't be trying to run the sql to update those records until the end of the transaction when i call commit? This is all using hibernate's HQL to perform the reads. I'm not calling anything directly at all to do the saves, i'm just doing car.setDate.
The database writes are controlled by the FlushMode on your session. By default, hibernate uses FlushMode.AUTO, which allows it to perform a session.flush() whenever it sees fit. A session.flush() causes uncommitted data on the session to be written to the database. Flushing session data to the database does not make it permanent until you commit your session (or roll it back). Depending on your database Table/Row locking strategy, the rows that have been updated as part of this transaction may be locked for Read or Read/Write access.
I think the answer is in the database- do your tables have the appropriate locking strategy that supports your use case?
When we are updating a record, we can use session.flush() with Hibernate. What's the need for flush()?
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
Allowing to explicitly flush the Session gives finer control that may be required in some circumstances (to get an ID assigned, to control the size of the Session,...).
As rightly said in above answers, by calling flush() we force hibernate to execute the SQL commands on Database. But do understand that changes are not "committed" yet.
So after doing flush and before doing commit, if you access DB directly (say from SQL prompt) and check the modified rows, you will NOT see the changes.
This is same as opening 2 SQL command sessions. And changes done in 1 session are not visible to others until committed.
I only know that when we call session.flush() our statements are execute in database but not committed.
Suppose we don't call flush() method on session object and if we call commit method it will internally do the work of executing statements on the database and then committing.
commit=flush+commit (in case of functionality)
Thus, I conclude that when we call method flush() on Session object, then it doesn't get commit but hits the database and executes the query and gets rollback too.
In order to commit we use commit() on Transaction object.
Flushing the Session gets the data that is currently in the session synchronized with what is in the database.
More on the Hibernate website:
http://docs.jboss.org/hibernate/core/3.3/reference/en/html/objectstate.html#objectstate-flushing
flush() is useful, because there are absolutely no guarantees about when the Session executes the JDBC calls, only the order in which they are executed - except you use flush().
You might use flush to force validation constraints to be realised and detected in a known place rather than when the transaction is committed. It may be that commit gets called implicitly by some framework logic, through declarative logic, the container, or by a template. In this case, any exception thrown may be difficult to catch and handle (it could be too high in the code).
For example, if you save() a new EmailAddress object, which has a unique constraint on the address, you won't get an error until you commit.
Calling flush() forces the row to be inserted, throwing an Exception if there is a duplicate.
However, you will have to roll back the session after the exception.
I would just like to club all the answers given above and also relate Flush() method with Session.save() so as to give more importance
Hibernate save() can be used to save entity to database. We can invoke this method outside a transaction, that’s why I don’t like this method to save data. If we use this without transaction and we have cascading between entities, then only the primary entity gets saved unless we flush the session.
flush(): Forces the session to flush. It is used to synchronize session data with database.
When you call session.flush(), the statements are executed in database but it will not committed.
If you don’t call session.flush() and if you call session.commit() , internally commit() method executes the statement and commits.
So commit()= flush+commit.
So session.flush() just executes the statements in database (but not commits) and statements are NOT IN MEMORY anymore. It just forces the session to flush.
Few important points:
We should avoid save outside transaction boundary, otherwise mapped entities will not be saved causing data inconsistency. It’s very normal to forget flushing the session because it doesn’t throw any exception or warnings.
By default, Hibernate will flush changes automatically for you:
before some query executions
when a transaction is committed
Allowing to explicitly flush the Session gives finer control that may be required in some circumstances (to get an ID assigned, to control the size of the Session)
The flush() method causes Hibernate to flush the session. You can configure Hibernate to use flushing mode for the session by using setFlushMode() method. To get the flush mode for the current session, you can use getFlushMode() method. To check, whether session is dirty, you can use isDirty() method. By default, Hibernate manages flushing of the sessions.
As stated in the documentation:
https://docs.jboss.org/hibernate/orm/5.2/userguide/html_single/chapters/flushing/Flushing.html
Flushing
Flushing is the process of synchronizing the state of the persistence
context with the underlying database. The EntityManager and the
Hibernate Session expose a set of methods, through which the
application developer can change the persistent state of an entity.
The persistence context acts as a transactional write-behind cache,
queuing any entity state change. Like any write-behind cache, changes
are first applied in-memory and synchronized with the database during
flush time. The flush operation takes every entity state change and
translates it to an INSERT, UPDATE or DELETE statement.
The flushing strategy is given by the flushMode of the current
running Hibernate Session. Although JPA defines only two flushing
strategies (AUTO and COMMIT), Hibernate has a much
broader spectrum of flush types:
ALWAYS: Flushes the Session before every query;
AUTO: This is the default mode and it flushes the Session only if necessary;
COMMIT: The Session tries to delay the flush until the current Transaction is committed, although it might flush prematurely too;
MANUAL: The Session flushing is delegated to the application, which must call Session.flush() explicitly in order to apply the
persistence context changes.
By default, Hibernate uses the AUTO flush mode which triggers a
flush in the following circumstances:
prior to committing a Transaction;
prior to executing a JPQL/HQL query that overlaps with the queued entity actions;
before executing any native SQL query that has no registered synchronization.
Calling EntityManager#flush does have side-effects. It is conveniently used for entity types with generated ID values (sequence values): such an ID is available only upon synchronization with underlying persistence layer. If this ID is required before the current transaction ends (for logging purposes for instance), flushing the session is required.
With this method you evoke the flush process. This process synchronizes
the state of your database with state of your session by detecting state changes and executing the respective SQL statements.