Spring Batch Mastery

What you'll learn:
(Beginner) Clearly understand foundational concepts of the framework, such as Job, Step, ItemReader, ItemProcessor and ItemWriter
(Beginner) Learn how to interact with plain text format in terms of read/write, using FlatFileItemReader and FlatFileItemWriter
(Beginner) Learn how to read and write data in XML format using StaxEventItemReader and StaxEventItemWriter
(Beginner) Build command line application leveraging CommandLineJobRunner and DefaultBatchConfiguration
(Intermediate) Solid understanding of chunk-oriented processing concept and chunkSize / commitInterval setting
(Intermediate) In-depth insight into concepts of JobInstance, JobExecution, StepExecution and ExecutionContext, and how they work together
(Intermediate) Excellent comprehension of restartability concept, how ExecutionContext is reused or not reused, and relevant settings
(Intermediate) Both cursor and paging approaches for reading data from relational databases with focus on JdbcCursorItemReader and JdbcPagingItemReader
(Intermediate) Data write to relational databases with JdbcBatchItemWriter
(Intermediate) How and when to use accepted database read design patterns, e.g. stateless database reading and driving query
(Intermediate) Read & write JSON format with JsonFileItemWriter and JsonFileItemReader
(Intermediate) Building conditional (if / else) step execution flows
(Intermediate) Using JUnit Spring Batch tools for writing end-to-end tests for jobs and steps, with relevant mocking techniques explained
(Advanced) Hands-on experience on integrating Spring Batch and Spring Boot to run workflows as a web application with HTTP endpoints
(Advanced) The approach of reading multi-line records from plain text files, as well as using MultiResourceItemReader to read from collection of files
(Advanced) Passing ExecutionContext parameters between steps with ExecutionContextPromotionListener
(Advanced) Accessing ExecutionContext and JobParameters declaratively with @StepScope
(Advanced) Appending headers and footers to plain text output with FlatFileHeaderCallback and FlatFileFooterCallback
(Advanced) Building and running split parallel step flows
(Advanced) In-depth and nuanced understanding of retry and skip capabilities of Spring Batch
(Advanced) JUnit testing of @StepScope defined components
(Expert) Understanding design principles and practical tools of running steps in multiple threads
(Expert) Broad coverage of remote chunking approach with pros and cons analyzed
(Expert) In depth understanding of partitioning concept, as well as APIs provided by the framework, including PartitionStep, PartitionHandler and Partitioner
(Expert) Hands-on experience implementing partitioned Spring Batch jobs, both local and distributed

Requirements:
No Spring Batch experience required; moreover, beginner material is covered comprehensively in the Beginner Chapter
Ability to read and understand Java code is required
Classic Spring Framework understanding is not required, however it's beneficial
In case you'd like to run the application code, ability to install required tools (described in README files), such as java, gradle, mysql, etc., is required

Description:
This Spring Batch Mastery Course is split into 4 chapters by depth / difficulty: beginner level, intermediate, advanced and expert. During each chapter, Spring Batch application with source code is available which you are able to run locally. So, in total it's 4 different applications.Beginner level chapter is for those who are new to Spring Batch, with little to no prior experience. The most essential framework concepts are introduced, like jobs, steps, readers, processors and writers. We will cover tools for data processing with files: plain text format and XML. Spring Batch command line application analyzing temperature sensors data will be built and executed.Intermediate level chapter comprehensively covers concept of chunk-oriented processing. Foundational entities, including JobInstance, JobExecution, StepExecution and ExecutionContext, are introduced. Restartability concept and related ExecutionContext re-use is covered in depth for success and failure scenarios, and various settings usage, e.g. saveState, allowStartIfComplete, preventRestart, etc. Various tools, approaches and design patterns to work with relational databases are covered, as well as tools to read and write JSON format. Command line application with conditional step execution and end-to-end test coverage sums up the chapter.Designed for individuals with a strong grasp of Spring Batch in typical scenarios, the advanced level chapter delves deeper into the framework's sophisticated features and functionalities. It covers multi-file and multi-line plain text format scenarios that require custom reader implementation, as well as @StepScope component to access JobParameters and ExecutionContext declaratively. The application is web-based through Spring Boot integration, and started via HTTP endpoints. Retries, skips and split parallel step executions are explained clearly.Lastly, the expert level is designed for those proficient in the majority of Spring Batch features, focusing on strategies to scale batch workloads effectively. The designed web-based application will solve the same business problem in 4 different ways: with single thread, with multiple threads, partitioned locally, and with distributed partitioning. The chapter has lots of visual technical design episodes which covers both architecture and code level nuances of the scalability tools provided by the framework.

Who this course is for:
In terms of level, anyone will find the course useful, since covered topics range from entry level to technical architect and expert level
In terms of application, the course is both useful for job seekers preparing for interview and for practitioners aiming to learn or elevate their Spring Batch skills

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