As of November 18, 2020, Easy Batch is in maintenance mode. This means only bug fixes will be addressed from now on. Version 7.0.x is the only supported version.

• 2020-03-14: Version 7.0.2 is out with a minor bug fix and a number of dependency updates.

Easy Batch is a framework that aims at simplifying batch processing with Java. It was specifically designed for simple, single-task ETL jobs. Writing batch applications requires a lot of boilerplate code: reading, writing, filtering, parsing and validating data, logging, reporting to name a few.. The idea is to free you from these tedious tasks and let you focus on your batch application's logic.

Easy Batch jobs are simple processing pipelines. Records are read in sequence from a data source, processed in pipeline and written in batches to a data sink:

The framework provides the Record and Batch APIs to abstract data format and process records in a consistent way regardless of the data source/sink type.

Let's see a quick example. Suppose you have the following tweets.csv file:

id,user,message
1,foo,hello
2,bar,@foo hi!

and you want to transform these tweets to XML format. Here is how you can do that with Easy Batch:

Path inputFile = Paths.get("tweets.csv");
Path outputFile = Paths.get("tweets.xml");
Job job = new JobBuilder<String, String>()
         .reader(new FlatFileRecordReader(inputFile))
         .filter(new HeaderRecordFilter<>())
         .mapper(new DelimitedRecordMapper<>(Tweet.class, "id", "user", "message"))
         .marshaller(new XmlRecordMarshaller<>(Tweet.class))
         .writer(new FileRecordWriter(outputFile))
         .batchSize(10)
         .build();

JobExecutor jobExecutor = new JobExecutor();
JobReport report = jobExecutor.execute(job);
jobExecutor.shutdown();

This example creates a job that:

• reads records one by one from the input file tweets.csv
• filters the header record
• maps each record to an instance of the Tweet bean
• marshals the tweet to XML format
• and finally writes XML records in batches of 10 to the output file tweets.xml

At the end of execution, you get a report with statistics and metrics about the job run (Execution time, number of errors, etc). All the boilerplate code of resources I/O, iterating through the data source, filtering and parsing records, mapping data to the domain object Tweet, writing output and reporting is handled by Easy Batch. Your code becomes declarative, intuitive, easy to read, understand, test and maintain.

Add the following dependency to your project and you are ready to go:

<dependency>
    <groupId>org.jeasy</groupId>
    <artifactId>easy-batch-core</artifactId>
    <version>7.0.2</version>
</dependency>

You can also generate a quick start project with the following command:

$>mvn archetype:generate \
      -DarchetypeGroupId=org.jeasy \
      -DarchetypeArtifactId=easy-batch-archetype \
      -DarchetypeVersion=7.0.2

For more details, please check the Getting started guide.

• 🎥 Introduction to Easy Batch: the simple, stupid batch processing framework for Java
• 📰 First batch job on Podcastpedia.org using Easy Batch
• 📰 EasyBatch, les batchs en JAVA tout simplement (in french)
• 📝 Easy Batch vs Spring Batch: Feature comparison
• 📝 Easy Batch vs Spring Batch: Performance comparison

The current stable version is v7.0.2 | documentation | tutorials | javadoc

The current development version is 7.0.3-SNAPSHOT:

If you want to import a snapshot version, please check the Getting started guide.

You are welcome to contribute to the project with pull requests on GitHub. Please note that Easy Batch is in maintenance mode, which means only pull requests for bug fixes will be considered.

If you believe you found a bug or have any question, please use the issue tracker.

• ammachado
• anandhi
• AussieGuy0
• AymanDF
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• DanieleS82
• gs-spadmanabhan
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• MALPI
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• verdi8

Thank you all for your contributions!

Easy Batch has been successfully used in production in a number of companies which I (@benas) am not allowed to mention. That said, there are some companies which publicly mention that they use Easy Batch:

• Splunk
• DeepData

You can also find some feedback from the community about the project in the Testimonials section.

Many thanks to YourKit, LLC for providing a free license of YourKit Java Profiler to support the development of Easy Batch.

Easy Batch is released under the terms of the .

The MIT License (MIT)

Copyright (c) 2021 Mahmoud Ben Hassine (mahmoud.benhassine@icloud.com)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.