Spring Batch is a framework for writing batch applications in Java. It was designed to be integrated with Spring and supports features like dependency injection, transactions, and job processing. The document discusses two examples of large enterprises using Spring Batch: a bank undergoing a migration to a new mid-level system and an energy company with multiple software vendors. It describes how Spring Batch was used to integrate batch jobs, monitor executions, and facilitate the migration process at both companies.
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For more information, visit this link:
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https://www.mindsmapped.com/courses/software-development/spring-fundamentals-learn-spring-framework-and-spring-boot/
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JOHN HUMPHREYS VP OF ENGINEERING INFRASTRUCTURE SYSTEMS, NOMURA
Spring Boot is a modern and extensible development framework that aims (and succeeds!) to take as much pain as possible out of developing with Java. With just a few Maven dependencies, new or existing programs become runnable, init.d-compliant uber-JARs or uber-WARs with embedded web-servers and virtually zero-configuration, code or otherwise. As an added freebie, Spring Boot Actuator will provide your programs with amazing configuration-free production monitoring facilities that let you have RESTFUL endpoints serving live stack-traces, heap and GC statistics, database statuses, spring-bean definitions, and password-masked configuration file audits.
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Deck presented at Java 2016
Source accompanying presentation can be found at https://github.com/ospector/sbdemo
In this Java Spring Training session, you will learn Spring – Inversion of Control, Dependency Injection and Bean definitions. Topics covered in this session are:
For more information, visit this link:
Spring Framework
• Core Container
• Data Access/Integration
• Web Layer
• Spring Setup
• Key features
• Spring Bean
• Dependency Injection
• Relation between DI and IoC
• Spring IoC Containers
• Spring DI
https://www.mindsmapped.com/courses/software-development/spring-fundamentals-learn-spring-framework-and-spring-boot/
In this session you will learn:
Understand Spring framework overview & its salient features
Spring concepts (IoC container / DI)
Spring-AOP basics
Spring ORM / Spring DAO overview
Spring Web / MVC overview
For more information, visit: https://www.mindsmapped.com/courses/software-development/java-developer-training-for-beginners/
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Spring Boot is a modern and extensible development framework that aims (and succeeds!) to take as much pain as possible out of developing with Java. With just a few Maven dependencies, new or existing programs become runnable, init.d-compliant uber-JARs or uber-WARs with embedded web-servers and virtually zero-configuration, code or otherwise. As an added freebie, Spring Boot Actuator will provide your programs with amazing configuration-free production monitoring facilities that let you have RESTFUL endpoints serving live stack-traces, heap and GC statistics, database statuses, spring-bean definitions, and password-masked configuration file audits.
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A Spring Batch bootcamp! Spring Batch is the open source batch processing framework from SpringSource, makes of the Spring framework. http://www.springsource.org/spring-batch
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* Concurrent Steps
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Building Continuous Application with Structured Streaming and Real-Time Data ...Databricks
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SQL Performance Tuning and New Features in Oracle 19cRachelBarker26
What's new in Oracle 19c (and CMiC R12) and the reporting software Jaspersoft Studios. If you are not interested in Jasper go ahead and skip to page 26. Explains how to read an execution plan and what to look for in an optimized execution plan.
SQL is the most widely used language for data processing. It allows users to concisely and easily declare their business logic. Data analysts usually do not have complex software programing backgrounds, but they can program SQL and use it on a regular basis to analyze data and power the business decisions. Apache Flink is one of streaming engines that supports SQL. Besides Flink, some other stream processing frameworks, like Kafka and Spark structured streaming, have SQL-like DSL, but they do not have the same semantics as Flink. Flink’s SQL implementation follows ANSI SQL standard while others do not.
In this talk, we will present why following ANSI SQL standard is essential characteristic of Flink SQL and how we achieved this. The core business of Alibaba is now fully driven by the data processing engine: Blink, a project based on Flink with Alibaba’s improvements. About 90% of blink jobs are written by Flink SQL. We will show the use cases and the experience of running large scale Flink SQL jobs at Alibaba in the talk.
Speakers
Shaoxuan Wang, Senior Engineering Manager, Alibaba
Xiaowei Jiang, Senior Director, Alibaba
Power Apps Component Framework - Dynamics Power! 365 Paris 2019 Allan De Castro
This presentation was presented at the Dynamics Power! 365 event in Paris in 2019.
For more information: https://www.365portal.org
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9. JSR 352 & Spring Batch
JSR – 352
• Define an API.
• Provide an SDL (JSL)
• Provide a contract.
• Dependency injection is optional
Spring Batch
• Define an API.
• Provide an SDL. (JSL)
• Provide a contract.
• Provide implementation for Readers and
Writers.
• Provide specific batchlet
implementations.
• Provide JobRepository implementation.
• From Spring 3.0 support JSR-352.
11. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
12. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_JOB_INSTANCE
13. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_JOB_EXECUTION
14. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_JOB_EXECUTION_PARAMS
15. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_STEP_EXECUTION
16. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_STEP_EXECUTION_CONTEXT
17. Spring Batch Data Model
http://docs.spring.io/spring-batch/trunk/reference/html/metaDataSchema.html
BATCH_STEP_EXECUTION_CONTEXT
BATCH_JOB_INSTANCE
BATCH_JOB_EXECUTION
BATCH_JOB_EXECUTION_PARAMS
BATCH_STEP_EXECUTION
18. Main Benefits
• Integrated with full Spring framework supporting all Spring features such
as Dependency Injection, AOP & Testability.
• Well tested ItemReaders and ItemWriters covering vast options for I/O
(File, JDBC, NoSQL JMS).
• Management information of running and finished Batch processes,
including information about results.
• A collection of Tasklets (Spring Batchlets) for execution from shell scripts
to Hadoop processes.
• Framework flexibility to define complex steps configurations.
• Simplification of thread management and transactions management.
• Management of Batch lifecycle (Restartability, Run, Pause, Stop).
20. BANK
• The bank is undergoing a process of migration of core applications from Host to a mid-level
system that uses a Spring-based architecture defined, developed and maintained by everis.
Time to
market
MIPS
reduction
Scalability
TestabilityCost
reduction
HOST MID-LEVEL SYSTEMS
21. Architecture
• Spring based architecture:
– Performs 7.000 transactions per second.
– Provides service to 30.000 users
– Architecture team composed by 30 software engineers.
INFR.
CORPORATE
CHANNEL
SERVICES
HOST
LOGIN
IDM
BATCH
BACKENDS
ONLINE
CHANNEL
CRYPTO
NEUTRAL
CHANNEL
OTHER
MEDIA
STORAGE
FINANCIAL
TERMINAL
ONLINE
BANKING
GROUP
COMPANIES
ATM
BATCH
27. ENERGY COMPANY
• Software factory composed by 4 different
providers.
• More than 300 developers.
• Migration from custom developed framework
to a Spring based architecture.
29. Challenges
1. How to migrate current custom batch processes
on new Spring operational architecture?
1. How to ensure quality and correct Spring Batch
usage with a community of 300 developers
2. How to monitor and report batch activity
formed by more than 400 processes with 160
processes per day executions?
31. Migration
PoC Objectives:
• Evaluate the effort required by the
development teams to migrate.
• Evaluate the performance.
• Evaluate the total execution time.
• Identify improvements over
migrated process.
32. Migration
• Obtained results:
30% Reduction of the Execution time
15% Reduction of the Memory consumption
10% Reduction of the CPU consumption
Process migration, including tests, has been performed in 8 Working Days without
previous Spring Batch experience.
Reduction of the proprietary code.
Maintainability on batch processes (Query + DAO + Processor + Config writer).
• Where do we obtain performance benefits?
– Using JDBCPagingItemReader, we eliminate a reading lock at the beginning of the
original process.
– Using ApacheCommonsDBCP as a Datasource implementation for Reader, we optimize
the process as the old architecture component had performance issues.
– Using FlatFileItemWriter to generate CSV output file, the results are improved
compared to the ones previously obtained
35. Quality
LOCAL TEST ACCEPTANCE
TRAINING PRODUCTION
PRE
PRODUCTION
PERFORMANCE
Productive environmentsTactic environments
Development
environments
Monitoring
QA environments
Dynamic Code AnalysisReporting & Bugtracking Static code analysis Performance testing
& profiling
Continuous Integration Static Data Model Analysis
OLTP
43. Needs
Monitor and Control
Batch Executions
• No global and complete reporting tool around Batch processes.
• Difficulties on schedule modifications because huge number of processes (432) and high
number of executions (160 per day).
• No alert mechanism if planned Batch doesn’t start (Planned vs Executed).
Batch Plannifications
44. Monitor and Control
44
Batch Executions
Logs
Planificación Batch
• Daily global information.
• Visual control of executions vs planification
• Historical Data..
45. Conclusions
• Structure Batch following standards and best practices.
• Well tested and optimized components.
• Possibilities to exploit horizontal scalability framework offer.
• Integration with the rest of the Spring framework (Spring Integration / Spring XD).
• Reusability of business logic developed in online applications.
• Consider the complexity of integrating Spring Batch with existing enterprise tools.
• Migration process from current batches must be normalized to SpringBatch
characteristics.
• Ensure invariability of the process after migration using appropriate testing tools.
• Ensure correctness of framework usage using checkstyle tools.
• Design batch having in mind advanced framework capacities (chunking, parallelism).
• Measure processes execution ensuring correctness during all process life
Benefits
Advises
46.
47.
48. Spring Batch for large
Enterprises operations
Ignasi Gonzalez
@ignasi15g