Is Spring Batch a good fit for processing a a large number of individual files?
Spring Batch seems to be geared towards data-centric jobs. I've got a requirement to pull down several million files from an S3 bucket, unzip them, perform some logic based on the contents, then call a web service.
Implementing this by hand is trivial, but I don't much fancy re-inventing the wheel when it comes to tracking job executions, and how far a job got along before it failed. Spring Batch seems to be an ideal fit for this job-monitoring, but I'm not sure whether subverting it to do file processing is a step too far.
Short answer is Yes, you can use spring batch for this. I had done a small POC where we had to migrate millions of images from source system to target system in a batch process and it works well IMHO.
Adding on to comment by #Prasanna Talakanti, I would suggest to use a combination of Spring Integration and Spring Batch. While Spring batch will provide you infrastructure for batch processing (Commit at intervals, restart job if failed etc), Spring integration will provide you things around web service gateways.
In Spring batch, you can define reader for reading data from S3 and writer for writing to your destination with processor in between if needed. You could also fine tune the commit interval so if the job fails in between, you have a point of rollback.
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I am in learning phase of Kafka.I came across this video This Video
This confuses me alot. I am able to understand kafka consumer and producer and i can see lot of reference materials related to that. We have batch listeners already there so why we need spring batch support here .Is there any specific advantage of using spring kafka batch over using normal batch listeners? Please help me in understanding as i can't see any reference materials comparing both.What i felt that we have more freedom and customisations using normal consumer and producer.Please correct me if i am wrong.
Spring Batch is a batch processing framework (fixed data sets) while Kafka is a streaming platform (infinite data streams). Those tools address two different types of requirements and use cases.
However, there are many cases where you want to have a "bridge" between these two worlds. Here are a couple examples:
Replay a stream of events to create an application state up to a certain time: Here you can use a Spring Batch job that reads a Kafka topic from the beginning and replays all events (The KafkaItemReader can be helpful here)
Inject a set of events from a file or a database table in a live stream. The KafkaItemWriter can be used in this case.
etc
The advantage of using a Spring Batch job over a regular batch listener is all what Spring Batch offers in terms of transaction management, state management for restartability, fault-tolerance features, etc.
I'm dipping my toes into the microservices, is spring boot batch applicable to the following requirements?
Files of one or multiple are read from a specific directory in Linux.
Several operations like regex, build new files, write the file and ftp to a location
Send email during a process fail
Using spring boot is confirmed, now the question is
Should I use spring batch or just core spring framework?
I need to integrate with Control-M to trigger the job. Can the Control-M be completely removed by using Spring batch library? As we don't know when to expect the files in the directory.
I've not seen a POC with these requirements. Would someone provide an example POC or an affirmation this could be achieved with Spring batch?
I would use Spring Batch for that use case. Not only does it provide out of the box components for reading, processing, and writing files, it adds a lot more for error handling, scalability, etc. All of those things you'd probably end up wiring up by yourself if you go without Spring Batch.
As for being launched via Control-M, yes MANY large customers use Control-M to launch their jobs. Unfortunately, I've never done it myself so I cannot provide any details on the mechanics, but if Control-M can either launch a script or call a REST API, you can launch a job with it.
I would suggest you, go for spring batch as it has much-inbuilt functionality which will be provided to you for file reading and writing to your required location. Even you will be able to handle record skipping requirement. Your mail triggering requirement will be handled by Control M. You just need to decide one exit code for your handled exception and on the basis of that exit code you can trigger the mail to respective members. And there are many other features which will be helpful if you go for spring batch.
I'm willing to build a synchronization service in Java. The use case is, that i'm fetching data from an exchange-service (via Exchange Web Services), normalize the data a bit (process probably) and then write it to a backend via GraphQL. I already had a look around the spring modules, but am not quite sure what modules to use. I found spring batch and spring quartz.
The synchronization will have to trigger all X seconds, fetch information from the Exchange, look what's in the backend already and update what's needed.
Do you guys have any suggestions? I started implementing this whole thing in nodejs before, but as it has to run on both, Windows Servers and Docker/Linux, it has been a real pain to keep it running smooth (mostly because bundling nodejs to an application for Windows is pain).
Difference between Spring Batch & Quartz:
Spring Batch and Quartz have different goals. Spring Batch provides functionality for processing large volumes of data and Quartz provides functionality for scheduling tasks.
So Quartz could complement Spring Batch, A common combination would be to use Quartz as a trigger for a Spring Batch job using a Cron expression.
Conclusion : So basically Spring Batch defines what should be done, Quartz defines when it should be done.
Quartz is a scheduling framework. Like "execute something every hour or every last friday of the month"
Spring Batch is a framework that defines that "something" that will be executed.
You can define a job, that consists of steps. Usually a step is something that consists of item reader, optional item processor and item writer, but you can define a custom stem. You can also tell Spring batch to commit on every 10 items and a lot of other stuff.
You can use Quartz to start Spring Batch jobs.
Recommended for your use case :
Quartz scheduling as you want trigger after specific interval.
Reference :https://projects.spring.io/spring-batch/faq.html
I have a situation where the data is to be read from 4 different web services, process it and then store the results in a database table. Also send a notification after this task is complete. The trigger for this process is through a web service call.
Should I write my job as a spring batch job or write the whole read/process code as an async method (using #Async) which is called from the Rest Controller?
Kindly suggest
In my opinion the your choice should be #Async, because Spring Batch was designed for large data processing and it isn't thought to processing on demand, typically you create a your batch and then launch the batch with a schedule. The benefit of this kind of architetture will be the reliability of your job that colud restarted in case of fail and so on. In your case you have a data integration problem and I can suggest to see at Spring Integration. You could have a Spring Integration pipeline that you start through a rest call.
I hope that this can help you
If there are large amounts of services should be executed, spring-batch would be the choice. Otherwise, I guess there is no need to import spring-batch.
In my opinion, #Async annotation is the easier way.
If both methods can work, of course simpler the better.
At the end, if there will be more and more service not only 4, spring-batch would be the better solution, cause spring-batch are professional in this.
I have got a use case to implement. It's basically a workflow kind of use case. Below is the requirements
Extract and import data from an external db to an internal db
Make this imported data into different formats and supply it to multiple external systems and invoke some script there. The external interfaces are SFTP, SOAP, JDBC, Python over CORBA. There are around 14 external systems with one of these interfaces.
Interface transactions are executed in around 15 steps, with the ability to run some steps in parallel
These steps should be configurable. ie, a particular flow may execute 10 of these 15 steps and another flow executes 15 of 15 steps
Should have the ability to restart each step individually or restart from a particular step
There are some steps that are manual and completion of manual step should trigger next step
Volume of data is not that large. Total data size is around 400k records. But this process is executing for around 30k records at a time. Time for development is less and we are looking for some light weight easy to learn and implement solution.
We are looking for Spring based or Spring integratable solutions.
The solutions we considered are
For workflow:
Activiti, Spring Batch
For interfaces:
Spring Integration
My question is
Can Spring batch considered for managing a work flow kind of use case? I don't think it's a best fit use case for Spring Batch but as its simple and easy to implement looked for its scope. We considered doing the interfaces interaction as each step in a batch job and inside the tasklet do the Spring Integration for external interfaces, with few issues as far as I understand are
a) Dynamic step configuration can be done with Java configuration, but how flexible it is and is it recommended?
b) Manual step processing is not possible in Spring Batch
Is there any work around for this? Is there any other issues or performance impacts on doing this?
Activiti seems to a solution. Can you please provide some feedback on Activiti with Spring and Spring integration for this use case and ease of implementing it? And support for Activiti
Can Activiti workflows restarted from a particular task? Is a task can be rollbacked?
Welcoming any suggestions !!
1) For managing workflows, Activiti would be a great choice. They have created a really good process engine which should comply your needs for delegating your tasks as well as calling your custom logic. Moreover, it is based entirely on Spring Framework so Integration with your logic would be easy.
2) i've provided the same in first answer.
3) No, you will have to create a new workflow for that and Yes!, a task can be rolled back.