Jakarta Batch

E200581

Jakarta Batch is a Jakarta EE specification that defines a standardized framework for batch processing of large-volume, non-interactive jobs in Java enterprise applications.

All labels observed (3)

How this entity was disambiguated

Statements (56)

Predicate Object
instanceOf Jakarta EE specification
batch processing specification
software standard
defines XML-based job configuration
batch artifacts
batch runtime API
batchlet
checkpoint algorithm
item processor
item reader
item writer
job
job execution
job instance
job repository
job specification language
job-level listeners
partition analyzer
partition collector
partition mapper
partition reducer
retry policy
skip policy
standardized framework for batch processing
step
step execution
step-level listeners
focusesOn large-volume jobs
non-interactive jobs
formerlyKnownAs Jakarta Batch self-linksurface differs
surface form: Java Batch
governedBy Eclipse Foundation
language Java
originatedAs Jakarta Batch self-linksurface differs
surface form: JSR 352: Batch Applications for the Java Platform
partOf Jakarta EE
predecessorStandard JSR 352
provides JobExecution API
JobInstance API
JobOperator API
JobParameters API
StepExecution API
supports chunk-oriented processing
job checkpointing
job listeners
job partitioning
job restart
parallel processing of batch steps
step listeners
task-oriented processing
transaction management for batch steps
supportsUseCase ETL batch jobs
bulk data processing
data migration
end-of-day processing
report generation
targetPlatform Jakarta EE application server
usedIn Java enterprise applications

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Jakarta EE includesSpecification Jakarta Batch
Jakarta Batch formerlyKnownAs Jakarta Batch self-linksurface differs
this entity surface form: Java Batch
Jakarta Batch originatedAs Jakarta Batch self-linksurface differs
this entity surface form: JSR 352: Batch Applications for the Java Platform