We are currently investigating spring state machine and we have a very similar need to the eventservice sample with a pool and context switching using a repository, the only problem is redis is linux only (for production) and we can not lean on that... is there a clean out-of-the-box way to integrate persistence using spring data or will i have to write my own implementation for StateMachinePersister.
https://github.com/spring-projects/spring-statemachine/tree/master/spring-statemachine-samples/eventservice/src/main/java/demo/eventservice
should i go about using AbstractStateMachinePersister or StateMachinePersist?
thanks!
There is no OOB spring data integration so you need to use low level API's to build your own persist impl. Having said that, spring data support has been in my mind but just haven't had time to push it forward. PR's highly appreciated ;)
StateMachinePersister is an interface to follow which AbstractStateMachinePersister implements.
Related
Is it possible to use Hibernate and RDBMS(Mysql, Postgres etc) with ReactiveCrudRepository instead of CrudRepository? I have tried some samples with Spring Data Jpa and Hibernate, but couldn't get it done. I was only able to find a few samples on ReactiveCrudRepository for MongoDB and cassandra.
Is it possible to use Hibernate and Mysql with ReactiveCrudRepository instead of CrudRepository?
TL;DR:
Not with Hibernate and MySQL, but with R2DBC and Postgres, Microsoft SQL Server or H2.
Take a look at Spring Data R2DBC.
Long Version
Why not JPA?
With Hibernate/JPA included this won't happen in the foreseeable future.
JPA is based on the idea that you load part of your data model into memory, manipulate the resulting object model and let JPA transform these changes.
All this within a single transaction.
This is kind of the opposite how one deals with a reactive store where you try to make atomic changes and try to decouple the loading, processing and storing and all this without blocking.
Why not JDBC?
So we have to look at the technology level below JPA: JDBC.
But JDBC is still blocking: You send a SQL statement to your database and then JDBC will block until you get the result.
And again this goes against the idea of reactive: Never block.
One could wrap this in a thread pool to mitigate this to some extent, but that is more of a workaround than a solution.
Why R2DBC?
There are some suitable drivers for some databases that could be used for reactive repositories.
But they are proprietary and thereby not a good basis for something that really should eventually work across all (relevant) relational databases.
For some time the Spring Data team hoped that ADBA would fill that gap.
But discussions on the mailing list made it clear that ADBA was not aiming for reactive but only for asynchronous.
Again not what we needed for a reactive repository abstraction.
So early in 2018 various people living at the intersection or reactive and relational decided that we need a standard for reactive database access.
R2DBC (Reactive Relational Database Connectivity)
is a proposal for such a standard.
The hope is that it either helps convincing Oracle to move ADBA to a reactive approach or if that doesn't happen it becomes the standard itself.
And with already three implementations available chances for the second option look promising.
R2DBC itself is mainly an SPI, i.e. an API that is to be implemented by database providers.
The SPI is designed in a way that puts minimal requirements on implementers.
But this also makes R2DBC somewhat cumbersome to use.
The idea is that other libraries will step up and build libraries designed for usability on top of that SPI, as it happened with JDBC.
Spring Data R2DBC
Spring Data R2DBC is one such library and it offers what you asked for: Support for ReactiveCrudRepository although it is independent of JPA/Hibernate and there is no support for MySQL yet.
State of the projects
Both R2DBC and Spring Data R2DBC didn't have a production release yet and it will take at least several months to get there.
Spring Data R2DBC just released the first milestone.
See the release article for its current capabilities.
R2DBC is on its 6th milestone. See the release article for details.
See also this answer: Why does Spring not provide reactive (non-blocking) clients for relational databases?
Original answer as a reference for archeologists:
As of now (Jan 2017) it is not possible.
The currently relevant release for the reactive part of Spring Data is Spring Data Kay M1 (You can check if there is a newer version available on the project home page)
And a blog post from the Spring Data team about that release and specifically the reactive parts in it starts with (emphasis mine):
Spring Data Kay M1 is the first release ever that comes with support for reactive data access. Its initial set of supported stores — MongoDB, Apache Cassandra, and Redis — all ship reactive drivers already, which made them very natural candidates for such a prototype.
The reason is that there is no standard non-blocking way to access a relational database. So only those that support this kind of API are supported right now.
One could implement a ReactiveCrudRepository using JPA or JDBC and delegate the work to a thread pool. This would provide an async API on the outside, but would still consume the resources for the Threads and block between independent data accesses, so only a small part of the benefits of the reactive approach would get realized.
Hibernate started a new Hibernate Reactive subproject for reactive streams support which provides Hibernate/JPA similar APIs to access RDBMS. But unfortunately at the moment, Spring Data does not support it. So there is no a ReactiveCrudRepoisoty for Hibernate Reactive.
But you can integrate Hibernate with Spring yourself and get reactive support.
Define a persistence.xml file, note the provider class must be specified as the one in Hibernate Reactive.
Declare a Mutiny.SessionFactory bean.
Then inject it in your repository class.
I have created a complete example demos Hibernate Reactive + Spring.
Update: Till now Spring team has no plan to support it, if you are willing to taste other framework, check Quarkus and Micronaunt, both have seamless Hibernate Reactive support. Check my Quarkus Hibernate Reactive example and Micronaut Hibernate Reactive example.
According to quote from previous answer
One could implement a ReactiveCrudRepository using JPA or JDBC and delegating the work to a thread pool. This would provide an async API on the outside, but would still consume the resources for the Threads and block between independent data accesses, so only a small part of the benefits of the reactive approach would get realized.
James Ward claims it can be non-blocking. I mean I asked him:
yeah ok, but isn't ScalikeJDBC-Async doing exactly the same? just putting query invocation into another thread pool?
and he replied
No because ScalalikeJDBC-Async uses https://github.com/mauricio... which is actually a non-blocking (NIO) JDBCish database driver.
source
So you can be reactive by replacing hibernate + spring data with postgresql-async (should work with mysql).
you could try with quarkus framework and panache mongo hibernate reactive repositories. https://quarkus.io/guides/mongodb-panache .It is easy manage a reactive repository over mongoDB, It is later but hope helps.
I have too many emails. I should write scheduler in order to send messages to them. Messages are different. I use spring framework 4.x.
I can write simple class, which connects to SMTP server. But in this case I should write my thread library too in order to send emails parallel.
Do spring have already written library which give me more flexible way to do this tasks? I do not want to use threads. It will be nice if spring already have this functionality.
Do I need Spring integration for this?
Best regards,
Yes, you definitely can do that with Spring Integration, because there is an ExecutorChannel implementation with can be supplied with an TaskExecutor from the Spring Core:
<channel id="sendEmailChannel">
<dispatcher task-executor="threadPoolTaskExecutor"/>
</channel>
<int-mail:outbound-channel-adapter channel="sendEmailChannel" mail-sender="mailSender"/>
But anyway you should keep in mind that all Spring Integration components are based on the Java and that ExecutorService is used on the background.
From other side if you need only the mail sending stuff from the Spring Integration, it would be an overhead and can simply use Core Spring Framework legacy like JavaMailSender as a bean and #Async for the sendMail method to achieve your parallel requirement.
UPDATE
could you tell me whether I need JMS for this situation?
I don't see any JMS-related stuff here. You don't have (or at least don't show) any real integration points in your solution. The same I can say even about Spring Integration just for email sending. However with the Spring Boot your SI config will be enough short. From other side if you'll study Spring Integration better eventually you'll get more gain to rely on the Integration components for your systems, as internally, as well as externally with other systems through JMS, AMQP, Kafka etc.
To be honest: a lot of years ago my first acquaintance with Spring Integration was due the requirement to get files from the FTP and have ability to pick up new files automatically. I found the solution only in the Spring Integration 1.0.0.M1. After that short XML config for the <int-ftp:inbound-channel-adapter> I loved Spring Integration and since that time it became as a part of my life. :-)
So, it's up to you to go ahead with Spring Integration in your simple app, or just follow with more formal solution with JavaMailSender direct usage.
You should use java executors framework. For example you can write something like the code below:
ExecutorService executor = Executors.newWorkStealingPool();
executor.execute(() -> mailSender.send(mail));
I was advised to develop Neo4j extension because of poor performance due to the many calls to the Neo4j REST interface introduced by Spring Data Neo4j. For the good start I was able to run simply Neo4j extension from Neo4j documentation:
http://docs.neo4j.org/chunked/stable/server-unmanaged-extensions.html
Now I have to move some logic from my web service to Neo4j extension to make communication between them as small as possible. However, my web service is based on Spring Data Neo4j as well as Spring Data JPA, so to reuse my actual code I would like to use also Spring Data in my extension. I have found this documentation:
http://docs.spring.io/spring-data/data-neo4j/docs/current/reference/html/reference_neo4j-server.html
but it is not clear for me and there is no working example. Is there any sample code with such integration?
There is a great example on using SDN in an unmanage extension, see http://inserpio.wordpress.com/2014/04/30/extending-the-neo4j-server-with-spring-data-neo4j/.
We are currently using Spring 3.2.3 + JPA (Hibernate). We use aspects for transaction support as opposed to annotations. We write out own entity services (read: repositories) to abstract the persistence away from our application.
I've read a lot about Spring Data and feel it would make our code considerably cleaner and more robust. I wonder though, are there any gotchas that I should consider before transitioning?
Thanks
If you're already on JPA the transition should be as easy as it can be: activate the repositories, point the infrastructure to your EntityManagerFactoryBean and off you go.
Transactions should just work fine as well. The annotation based usage within Spring Data is selectively activated for the repository beans only. They are configured to take part in existing transactions by default, so any custom larger scoped transaction setting should be in effect already.
Currently We have an enterprise application that works with spring and JPA.
Today we are planning our next generation server.
We are debating whether to use spring-data in our project? It seems to increase productivity and development times.
Are there any alternatives to spring-data to consider? Why not using spring and JPA alone?
What do you suggest?
Bear in mind we are starting to develop from scratch so no constraints are available other than:
we use mysql and mongoDB
we code in java
we will develop client side code in GWT.
Currently we have a layered architecture.
We have a Service layer and a manager layer, which takes care for persisting and business logic. Whoever built that didn't see a good reason to insert the third DAO layer.
There are some technical benefits of Spring Data over Spring + JPA, which in a pure SQL environment, I think give Spring Data an advantage:
Spring Data uses the same CrudRepository interface for all implementations, so you'll have less effort to switch between JPA to MongoDB
Spring Data saves you writing the same methods again and again. You just add the method to the interface and it'll generate it for you (e.g. UserRepository.findByUsername())
You can save boilerplate on REST implementations for JPA, MongoDB and others (see http://projects.spring.io/spring-data-rest/)
If you wanted to experiment with other persistence or indexing services, then there are Spring Data implementations for both mature and newer technologies such as for Neo4j, Hadoop, Solr, ElasticSearch, fuzzydb.
Given that you use MySQL and MongoDB, I think Spring Data is a strong candidate, as it allows developers to code to a single data access API (Spring Data) instead of two (JPA and the MongoDB Java Client).
Regarding the existing architecture, it sounds as though your manager layer is implementing either a Rich Domain pattern, or Active Record.
Spring Data is in my view very well suited to Rich Domain when combined with injection of services using Spring's #Configurable.
Lastly, I'd say that Spring Data also gives a significant advantage when needing to implement services for things like Spring Security and Spring Social, which use MongoDB or others instead of SQL.
We did this in the fuzzydb sample webapp that can be found here. (Disclaimer: I'm the currently sole recent committer on fuzzydb, and haven't touched it for a number of years, but we did have a live service, www.fridgemountain.com, based on that code, but neglected to promote it)