Does the Hibernate Session save operation synchronize with the underlying DB transaction? - java

Came across this example at HIbernate commit() and flush()
Session session = sessionFactory.openSession();
Transaction tx = session.beginTransaction();
for ( int i=0; i<100000; i++ ) {
Customer customer = new Customer(.....);
session.save(customer);
if ( i % 20 == 0 ) { //20, same as the JDBC batch size
//flush a batch of inserts and release memory:
session.flush();
session.clear();
}
}
tx.commit();
session.close();
My understanding was hibernate synchronizes the DB session with hibernate when we do session.save(customer) or session.update(....) ?
Does it sunchromized only at the time of commit/flush/refresh not at the time of update/save ?

The Hibernate Session and the JPA EntityManager (a.k.a Persistence Context) act as a write-behind cache so entity state transitions are staged and propagated to the DB during flush.
By default, the commit call triggers a flush and that's when INSERT, UPDATE, and DELETE statements are executed.
The benefits of the write-behind cache are the followings:
it's much easier to apply automatic JDBC batch updates
if there is no prior SELECT statement, the connection acquisition can be delayed until the flush, therefore reducing the database connection lease time.
For more details about how Hibernate works, check out this tutorial which features over 100 articles about JPA, Hibernate, and the most common RDBMS.

The lifecycle of a Hibernate Session is bounded by the beginning and end of a logical transaction. Session offers create, read and delete operations for instances of mapped entity classes.
Save/update/delete are transactional operations.So to execute those operations, there is need to begin transaction with
session.beginTransaction();
and then only we can execute save/update/delete. Hibernate provides good quality of transaction rollback mechanism. Hibernate makes changes to database only if transaction is committed through
session.getTransaction().commit();
Till commit is executed save/update/delete will be with transaction instance, and once commit method is invoked hibernate interacts with database to apply changes.
If save/update/delete fails, rollback process will be executed, leaving database unchanged.
for more information about hibernate transaction study https://www.javatpoint.com/hibernate-transaction-management-example
So the hibernate synchronizes the DB session with hibernate session, through commit/flush/refresh

Related

Hibernate - open sessions vs current sessions and current session context

I have a spring managed web app where we're using Hibernate. In my hibernate.cfg.xml we have
<property name="hibernate.current_session_context_class">thread</property>
It's also configured to use HikariCP connection pooling.
When we open sessions, we follow the paradigm of this. Note that I'm not explicitly closing the session.
Transaction tx = null;
Session session = sessionFactory.getCurrentSession();
try {
tx = session.beginTransaction();
// do DB stuff.
tx.commit(); // or, sometimes session.getTransaction().commit();
} catch (Exception e) {
if (tx != null) {
tx.rollback();
}
throw new CustomDbException(e);
}
In some cases, when closing the session, we do session.getTransaction().commit() at a minimum, this is incosistent, but I'm not sure if it's giving a different trasancation or otherwise causing some problems.
We've been seeing intermittent issues with LockAcquisitionException: could not execute statement, StaleObjectStateException: Row was updated or deleted by another transaction (or unsaved-value mapping was incorrect), and TransactionException: nested transactions not supported. We're not trying to do nested exceptiosn and always clean up the transaction, but I'm starting to think that maybe the sessions is being shared.
The application is multi threaded, and I'm starting to suspect that getCurrentSession is actually being shread across threads. I was under the impression that by setting hibernate.current_session_context_class to thread, then getCurrentSession() would provide a separate session per thread. Should I be taking a different approach here? Should I be using openSession() instead, or somehow configuring hibernate to give me unique sessions per thread?
We use #JmsListener methods, and the transactional exceptions seem most prevalent there, but are not localized there.
Exact hibernate versions are as follows:
hibernate: [ 'org.hibernate.common:hibernate-commons-annotations:4.0.4.Final',
'org.hibernate:hibernate-core:4.3.11.Final',
'org.hibernate:hibernate-hikaricp:4.3.11.Final'],
hikari: 'com.zaxxer:HikariCP:2.4.1',

Hibernate update statement with duplicate value in the database

Using MYSQL with hibernate.
This is my update statement.
The session.flush() and the session.clear() worry me but i dont know any other way to do it.
sessionFactory is autowired by spring.
This is in my dao implementation.
What is wrong with this code?
#Override
#Transactional
public void updateCurrency(CurrencyEntity currencyEntity) {
session = sessionFactory.getCurrentSession();
//flush the session sending previously cached SQL statements to the database
session.flush();
//clear the session as we don't want to keep previous entities tracked.
//this avoids the chance of a persistent instance with the same identifier causing problems for the update.
session.clear();
session.update(currencyEntity);
//flush to send the update to the database so any errors are caught immediately
session.flush();
}

Measuring how many transactions are done on JTA application

I had a web software running in a Jboss AS 7 container witch saves our data in a PostgreSQL 9.1 database via JPA, an its configuration delegated to JTA.
Last year it was adapted to run at AWS EC2 cloud. As the user demand grown our database usage growed too. As expected our database server becomes busy at rush times, an it affected the usage experience from our users.
After some replication researches on PostgreSQL we realise that PGPool2 could be a nice replication solution for our case: it offers Load Balancing for SELECT queries, and Replication for CUD operations ( UPDATE, INSERT and DELETE ) as well.
So far so good, except that it turns the software slow. If fact, as explicited in PGPool2 documentation, SELECT queries will not be load balanced if it was defined in explicit BEGIN/END transaction.
For a query to be load balanced, all the following requirements must be met:
- PostgreSQL version 7.4 or later
- the query must not be in an explicitly declared transaction (i.e. not in a BEGIN ~ END block)
- it's not SELECT nextval or SELECT setval
- it's not SELECT INTO
- it's not SELECT FOR UPDATE nor FOR SHARE
- it starts with "SELECT" or one of COPY TO STDOUT, EXPLAIN, EXPLAIN ANALYZE SELECT...
- ignore_leading_white_space = true will ignore leading white space.
Two questions:
How I could figure out our SELECT queries that was running in explicit transactions?
Does _javax.ejb.TransactionAttributeType.NOT_SUPPORTED_ fix the transaction scopes, granting that my SELECT method will be running as "transaction-free"?
How I could figure out our SELECT queries that was running in explicit transactions?
Turn on pgpool2 logging of SQL and connections:
Put the following statements into pgpool.conf (which you can setup via cp $prefix/etc/pgpool.conf.sample $prefix/etc/pgpool.conf):
log_per_node_statement
log_connections
Alternatively, turn on log tracing of JPA:
This requires a different method depending or your JPA implementation ( How to view the SQL queries issued by JPA? , JPA 2.0 (logging and tracing through) with Glassfish 3.0.1 and NetBeans 6.9.1: ).
This will log SQL, but will not log transaction start/commit/rollback.
Additionally, put your own debug logging code into methods which start & end transactions, so that you can see when transaction start/commit/rollback.
Does _javax.ejb.TransactionAttributeType.NOT_SUPPORTED_ fix the transaction scopes, granting that my SELECT method will be running as "transaction-free"?
If you are using Container Managed Transactions (annotations #TransactionManagement(CONTAINER) and #TransactionAttribute), then NOT_SUPPORTED will temporarily disassocate the JTA transaction from the current thread. Then the method will run with no transaction context.
Your subsequent JPA query will run outside of the JTA transaction - because the JTA transaction is not available for it to use.
If you already use a Transaction-Scoped EntityManager
Within your Stateless Session Bean you have an EntityManager annotated
#PersistenceContext(type=PersistenceContextType.TRANSACTION), or
annotated #PersistenceContext without type attribute (because
TRANSACTION is the default):
then that EM will lose it's persistence context within the NOT_SUPPORTED method because the PC is associated with the current transaction, which is no longer accessible
so you cannot use such an EM in the method (e.g. to run queries or lookup cached objects)
so you must use an additional application-managed EM within the NOT_SUPPORTED method
you must create the app-managed EM from an EntityManagerFactory in a place where no JTA transaction is active (e.g. in the NOT_SUPPORTED method), because the app-managed EM will automatically associate itself with the current thread's JTA transaction during creation
any objects returned from queries by the new app-managed EM will be in a different persistence context from the original EM, so you need great care to cleanly detach such objects from the PC (e.g. appMgdEM.clear() or appMgdEM.close() or appMgdEM.detach(someEntity)) if you are to modify/merge them with the original EM.
If you already use an Extended-Scoped EntityManager
Within your Stateful Session Bean you have an EntityManager annotated #PersistenceContext(type=PersistenceContextType.EXTENDED).
then that EM will still have it's persistence context within the NOT_SUPPORTED method because the PC is associated with the stateful session bean
but the EM is using a connection that is already in the middle of a "live" transaction
so if you want to run queries outside of a transaction, you cannot use such an EM in the method
so again, you must use an additional application-managed EM within the NOT_SUPPORTED method (same points apply as above).
Example
#Stateless
public class DepartmentManagerBean implements DepartmentManager {
#PersistenceUnit(unitName="EmployeeService")
EntityManager txScopedEM;
#PersistenceUnit(unitName="EmployeeService")
EntityManagerFactory emf;
#TranactionAttribute(REQUIRED)
public void modifyDepartment(int deptId) {
Department dept = txScopedEM.find(Department.class, deptId);
dept.setName("New Dept Name");
List<Employee> empList = getEmpList();
for(Employee emp : empList) {
txScopedEM.merge(emp);
dept.addEmployee(emp);
}
dept.setEmployeeCount(empList.size());
}
#TranactionAttribute(NOT_SUPPORTED)
public void getEmpList() {
EntityManager appManagedEM = emf.createEntityManager();
TypedQuery<Employee> empQuery = appManagedEM.createQuery("...", Employee.class);
List<Employee> empList = empQuery.getResultList();
// ...
appManagedEM.clear();
return empList;
}
}
Alternative/Adjusted Approach
The above has some restrictions on how you query and how you use resulting objects. It requires creating an EM "on the fly", if you use stateless session beans, and also requires entityManager.merge() to be called. It may not suit you.
A strong alternative is to redesign your application, so that you run all queries before the transaction starts. Then it should be possible to use a single Extended-Scoped EntityManager. Run the queries in "NOT_SUPPORTED" method 1 (no transaction), using extended-scope EM. Then run modifications in "REQUIRED" method 2 (with transaction), using the same extended-scope EM. A Transaction-Scoped EntityManaged wouldn't work (it would try to be transactional from the very start, and would have no PC in NOT_SUPPORTED methods).
Cheers :)
You may want to consider partitioning in JPA using EclipseLink data partitioning,
http://java-persistence-performance.blogspot.com/2011/05/data-partitioning-scaling-database.html

JPA persistence.xml flushmode with Hibernate 3.0

I understand that Hibernate uses transparent write behind by default for committing the transactions.
However, I would like my entity-manager to commit my transaction on the database immediately after the transaction is committed. Is there anyway I can configure this in persistence.xml of JPA ?
Hibernate would have to commit in the database at the time is made commits the transaction. You can also find it helpful to have two additional options:
Define the Session and autocommit (entering the property "hibernate.connection.autocommit" in the properties of the connection)
Forcing hibernate transaction synchronize with the database transaction in the middle of the transaction (by session.flush ())
Regards,

Hibernate: saveOrUpdateAll and transaction

I am currently using version 3.3 of hibernate.
Currently the setting of hibernate is such that it will autocommit after each persistence of individual object.
I want to wrap a transaction around it, so it will only commit after end of a batch.
The code is in question:
getHibernateTemplate().saveOrUpdateAll(collectionOfObject);
I have consulted the documentation here, but want to see if there is alternative (other than rewriting it to use HSQL)
EDIT
My goal is to have a transaction around a bunch of insert. Currently it is auto-commit per insert
If you want to use transaction management in Spring read here on how to do it.
Also, Use should not be using HibernateTemplate use the Session object instead as below.
sessionFactory = getHibernateTemplate().getSessionFactory();
Session session = sessionFactory.getCurrentSession();
for (Bean bean : listBeans) {
session.saveOrUpdate(bean );
}
As there is no way to save the collection at one shot in session. This will commit the data after method exit.

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