#spring-batch
The latest AI and developer news about #spring-batch, with the original source and a short summary.
The latest AI and developer news about #spring-batch, with the original source and a short summary.
Introducing a Composite PK became the trigger for migrating to Spring Boot 4 and Spring Batch 6.
By using Partitioning, batch processing time was reduced from 13.5 days to 5 minutes, and Serverless v2 cut costs by 40%.
We internalized an external Batch Scheduler using Quartz and a common library, calling it OnQuartz.
By replacing Spring Batch synchronous calls with coroutine-based asynchrony, the bottleneck from 15 APIs was reduced.
An analysis of paging omissions and SQL errors in Spring Batch 5.2.0 caused by how MySqlPagingQueryProvider handles sortKey, along with proposed solutions.
A failure occurred during Oliveyoung's Spring Batch job, prompting an analysis of transaction isolation in a multithreaded environment and ThreadPoolExecutor configuration errors.
Migrating Deal lookups from Oracle to MongoDB improved performance and operability.
By introducing Spring Batch and Kafka, the team resolved server load and user wait-time issues that occurred during large-volume data extraction.
Oliveyoung's Retail Platform Development Team shares how it has run its team study for one year and the growth experience gained along the way.
By separating deployment jars using symbolic links, zero-downtime deployment was achieved even while a Job is running.
A Kurly developer pointed out the inefficiency of JPA saveAll and improved 1:N data processing performance using JDBC Bulk Insert leveraging Auto Increment PK inference.
It presents methods to optimize Network and Database I/O, the causes of performance degradation in Spring Batch, through bulk processing and parallel processing.
Held on July 18 at Pangyo Azit, the event also offers participation via online ZOOM and VOD viewing on YouTube.
Spring Batch Partitioning and Cursor Reader solved the OOM problem when processing hundreds of millions of records.