658 lines
26 KiB
Plaintext
658 lines
26 KiB
Plaintext
:batch-asciidoc: ./
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:toc: left
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:toclevels: 4
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[[domainLanguageOfBatch]]
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== The Domain Language of Batch
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ifndef::onlyonetoggle[]
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include::toggle.adoc[]
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endif::onlyonetoggle[]
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To any experienced batch architect, the overall concepts of batch processing used in
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Spring Batch should be familiar and comfortable. There are "Jobs" and "Steps" and
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developer-supplied processing units called `ItemReader` and `ItemWriter`. However,
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because of the Spring patterns, operations, templates, callbacks, and idioms, there are
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opportunities for the following:
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* Significant improvement in adherence to a clear separation of concerns.
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* Clearly delineated architectural layers and services provided as interfaces.
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* Simple and default implementations that allow for quick adoption and ease of use
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out-of-the-box.
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* Significantly enhanced extensibility.
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The following diagram is a simplified version of the batch reference architecture that
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has been used for decades. It provides an overview of the components that make up the
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domain language of batch processing. This architecture framework is a blueprint that has
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been proven through decades of implementations on the last several generations of
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platforms (COBOL/Mainframe, C++/Unix, and now Java/anywhere). JCL and COBOL developers
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are likely to be as comfortable with the concepts as C++, C#, and Java developers. Spring
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Batch provides a physical implementation of the layers, components, and technical
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services commonly found in the robust, maintainable systems that are used to address the
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creation of simple to complex batch applications, with the infrastructure and extensions
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to address very complex processing needs.
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.Batch Stereotypes
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image::{batch-asciidoc}images/spring-batch-reference-model.png[Figure 2.1: Batch Stereotypes, scaledwidth="60%"]
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The preceding diagram highlights the key concepts that make up the domain language of
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Spring Batch. A Job has one to many steps, each of which has exactly one `ItemReader`,
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one `ItemProcessor`, and one `ItemWriter`. A job needs to be launched (with
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`JobLauncher`), and metadata about the currently running process needs to be stored (in
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`JobRepository`).
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=== Job
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This section describes stereotypes relating to the concept of a batch job. A `Job` is an
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entity that encapsulates an entire batch process. As is common with other Spring
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projects, a `Job` is wired together with either an XML configuration file or Java-based
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configuration. This configuration may be referred to as the "job configuration". However,
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`Job` is just the top of an overall hierarchy, as shown in the following diagram:
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.Job Hierarchy
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image::{batch-asciidoc}images/job-heirarchy.png[Job Hierarchy, scaledwidth="60%"]
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In Spring Batch, a `Job` is simply a container for `Step` instances. It combines multiple
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steps that belong logically together in a flow and allows for configuration of properties
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global to all steps, such as restartability. The job configuration contains:
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* The simple name of the job.
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* Definition and ordering of `Step` instances.
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* Whether or not the job is restartable.
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ifdef::backend-html5[]
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[role="javaContent"]
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A default simple implementation of the Job interface is provided by Spring Batch in the
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form of the `SimpleJob` class, which creates some standard functionality on top of `Job`.
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When using java based configuration, a collection of builders is made available for the
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instantiation of a `Job`, as shown in the following example:
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[source, java, role="javaContent"]
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----
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@Bean
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public Job footballJob() {
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return this.jobBuilderFactory.get("footballJob")
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.start(playerLoad())
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.next(gameLoad())
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.next(playerSummarization())
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.end()
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.build();
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}
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----
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[role="xmlContent"]
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A default simple implementation of the `Job` interface is provided by Spring Batch in the
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form of the `SimpleJob` class, which creates some standard functionality on top of `Job`.
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However, the batch namespace abstracts away the need to instantiate it directly. Instead,
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the `<job>` tag can be used as shown in the following example:
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[source, xml, role="xmlContent"]
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----
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<job id="footballJob">
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<step id="playerload" next="gameLoad"/>
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<step id="gameLoad" next="playerSummarization"/>
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<step id="playerSummarization"/>
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</job>
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----
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endif::backend-html5[]
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ifdef::backend-pdf[]
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A default simple implementation of the Job interface is provided by Spring Batch in the
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form of the `SimpleJob` class, which creates some standard functionality on top of `Job`.
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When using java based configuration, a collection of builders are made available for the
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instantiation of a `Job`, as shown in the following example:
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[source, java]
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----
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@Bean
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public Job footballJob() {
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return this.jobBuilderFactory.get("footballJob")
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.start(playerLoad())
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.next(gameLoad())
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.next(playerSummarization())
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.end()
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.build();
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}
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----
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However, when using XML configuration, the batch namespace abstracts away the need to
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instantiate it directly. Instead, the `<job>` tag can be used as shown in the following
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example:
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[source, xml]
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----
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<job id="footballJob">
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<step id="playerload" next="gameLoad"/>
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<step id="gameLoad" next="playerSummarization"/>
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<step id="playerSummarization"/>
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</job>
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----
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endif::backend-pdf[]
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==== JobInstance
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A `JobInstance` refers to the concept of a logical job run. Consider a batch job that
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should be run once at the end of the day, such as the 'EndOfDay' `Job` from the preceding
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diagram. There is one 'EndOfDay' job, but each individual run of the `Job` must be
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tracked separately. In the case of this job, there is one logical `JobInstance` per day.
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For example, there is a January 1st run, a January 2nd run, and so on. If the January 1st
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run fails the first time and is run again the next day, it is still the January 1st run.
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(Usually, this corresponds with the data it is processing as well, meaning the January
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1st run processes data for January 1st). Therefore, each `JobInstance` can have multiple
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executions (`JobExecution` is discussed in more detail later in this chapter), and only
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one `JobInstance` corresponding to a particular `Job` and identifying `JobParameters` can
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run at a given time.
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The definition of a `JobInstance` has absolutely no bearing on the data the to be loaded.
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It is entirely up to the `ItemReader` implementation to determine how data is loaded. For
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example, in the EndOfDay scenario, there may be a column on the data that indicates the
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'effective date' or 'schedule date' to which the data belongs. So, the January 1st run
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would load only data from the 1st, and the January 2nd run would use only data from the
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2nd. Because this determination is likely to be a business decision, it is left up to the
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`ItemReader` to decide. However, using the same `JobInstance` determines whether or not
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the 'state' (that is, the `ExecutionContext`, which is discussed later in this chapter)
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from previous executions is used. Using a new `JobInstance` means 'start from the
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beginning', and using an existing instance generally means 'start from where you left
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off'.
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==== JobParameters
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Having discussed `JobInstance` and how it differs from Job, the natural question to ask
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is: "How is one `JobInstance` distinguished from another?" The answer is:
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`JobParameters`. A `JobParameters` object holds a set of parameters used to start a batch
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job. They can be used for identification or even as reference data during the run, as
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shown in the following image:
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.Job Parameters
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image::{batch-asciidoc}images/job-stereotypes-parameters.png[Job Parameters, scaledwidth="60%"]
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In the preceding example, where there are two instances, one for January 1st, and another
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for January 2nd, there is really only one `Job`, but it has two `JobParameter` objects:
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one that was started with a job parameter of 01-01-2017 and another that was started with
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a parameter of 01-02-2017. Thus, the contract can be defined as: `JobInstance` = `Job`
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+ identifying `JobParameters`. This allows a developer to effectively control how a
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`JobInstance` is defined, since they control what parameters are passed in.
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NOTE: Not all job parameters are required to contribute to the identification of a
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`JobInstance`. By default, they do so. However, the framework also allows the submission
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of a `Job` with parameters that do not contribute to the identity of a `JobInstance`.
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==== JobExecution
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A `JobExecution` refers to the technical concept of a single attempt to run a Job. An
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execution may end in failure or success, but the `JobInstance` corresponding to a given
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execution is not considered to be complete unless the execution completes successfully.
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Using the EndOfDay `Job` described previously as an example, consider a `JobInstance` for
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01-01-2017 that failed the first time it was run. If it is run again with the same
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identifying job parameters as the first run (01-01-2017), a new `JobExecution` is
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created. However, there is still only one `JobInstance`.
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A `Job` defines what a job is and how it is to be executed, and a `JobInstance` is a
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purely organizational object to group executions together, primarily to enable correct
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restart semantics. A `JobExecution`, however, is the primary storage mechanism for what
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actually happened during a run and contains many more properties that must be controlled
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and persisted, as shown in the following table:
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.JobExecution Properties
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|Property |Definition
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|Status
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|A `BatchStatus` object that indicates the status of the execution. While running, it is
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`BatchStatus#STARTED`. If it fails, it is `BatchStatus#FAILED`. If it finishes
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successfully, it is `BatchStatus#COMPLETED`
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|startTime
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|A `java.util.Date` representing the current system time when the execution was started.
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This field is empty if the job has yet to start.
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|endTime
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|A `java.util.Date` representing the current system time when the execution finished,
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regardless of whether or not it was successful. The field is empty if the job has yet to
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finish.
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|exitStatus
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|The `ExitStatus`, indicating the result of the run. It is most important, because it
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contains an exit code that is returned to the caller. See chapter 5 for more details. The
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field is empty if the job has yet to finish.
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|createTime
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|A `java.util.Date` representing the current system time when the `JobExecution` was
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first persisted. The job may not have been started yet (and thus has no start time), but
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it always has a createTime, which is required by the framework for managing job level
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`ExecutionContexts`.
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|lastUpdated
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|A `java.util.Date` representing the last time a `JobExecution` was persisted. This field
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is empty if the job has yet to start.
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|executionContext
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|The "property bag" containing any user data that needs to be persisted between
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executions.
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|failureExceptions
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|The list of exceptions encountered during the execution of a `Job`. These can be useful
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if more than one exception is encountered during the failure of a `Job`.
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|===
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These properties are important because they are persisted and can be used to completely
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determine the status of an execution. For example, if the EndOfDay job for 01-01 is
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executed at 9:00 PM and fails at 9:30, the following entries are made in the batch
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metadata tables:
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.BATCH_JOB_INSTANCE
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|===
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|JOB_INST_ID |JOB_NAME
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|1
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|EndOfDayJob
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|===
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.BATCH_JOB_EXECUTION_PARAMS
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|===
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|JOB_EXECUTION_ID|TYPE_CD|KEY_NAME|DATE_VAL|IDENTIFYING
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|1
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|DATE
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|schedule.Date
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|2017-01-01
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|TRUE
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|===
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.BATCH_JOB_EXECUTION
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|===
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|JOB_EXEC_ID|JOB_INST_ID|START_TIME|END_TIME|STATUS
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|1
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|1
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|2017-01-01 21:00
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|2017-01-01 21:30
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|FAILED
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|===
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NOTE: Column names may have been abbreviated or removed for the sake of clarity and
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formatting.
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Now that the job has failed, assume that it took the entire night for the problem to be
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determined, so that the 'batch window' is now closed. Further assuming that the window
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starts at 9:00 PM, the job is kicked off again for 01-01, starting where it left off and
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completing successfully at 9:30. Because it is now the next day, the 01-02 job must be
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run as well, and it is kicked off just afterwards at 9:31 and completes in its normal one
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hour time at 10:30. There is no requirement that one `JobInstance` be kicked off after
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another, unless there is potential for the two jobs to attempt to access the same data,
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causing issues with locking at the database level. It is entirely up to the scheduler to
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determine when a `Job` should be run. Since they are separate `JobInstances`, Spring
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Batch makes no attempt to stop them from being run concurrently. (Attempting to run the
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same `JobInstance` while another is already running results in a
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`JobExecutionAlreadyRunningException` being thrown). There should now be an extra entry
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in both the `JobInstance` and `JobParameters` tables and two extra entries in the
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`JobExecution` table, as shown in the following tables:
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.BATCH_JOB_INSTANCE
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|===
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|JOB_INST_ID |JOB_NAME
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|1
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|EndOfDayJob
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|2
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|EndOfDayJob
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|===
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.BATCH_JOB_EXECUTION_PARAMS
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|===
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|JOB_EXECUTION_ID|TYPE_CD|KEY_NAME|DATE_VAL|IDENTIFYING
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|1
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|DATE
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|schedule.Date
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|2017-01-01 00:00:00
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|TRUE
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|2
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|DATE
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|schedule.Date
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|2017-01-01 00:00:00
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|TRUE
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|3
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|DATE
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|schedule.Date
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|2017-01-02 00:00:00
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|TRUE
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|===
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.BATCH_JOB_EXECUTION
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|===
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|JOB_EXEC_ID|JOB_INST_ID|START_TIME|END_TIME|STATUS
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|1
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|1
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|2017-01-01 21:00
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|2017-01-01 21:30
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|FAILED
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|2
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|1
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|2017-01-02 21:00
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|2017-01-02 21:30
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|COMPLETED
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|3
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|2
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|2017-01-02 21:31
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|2017-01-02 22:29
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|COMPLETED
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|===
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NOTE: Column names may have been abbreviated or removed for the sake of clarity and
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formatting.
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=== Step
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A `Step` is a domain object that encapsulates an independent, sequential phase of a batch
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job. Therefore, every Job is composed entirely of one or more steps. A `Step` contains
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all of the information necessary to define and control the actual batch processing. This
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is a necessarily vague description because the contents of any given `Step` are at the
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discretion of the developer writing a `Job`. A `Step` can be as simple or complex as the
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developer desires. A simple `Step` might load data from a file into the database,
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requiring little or no code (depending upon the implementations used). A more complex
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`Step` may have complicated business rules that are applied as part of the processing. As
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with a `Job`, a `Step` has an individual `StepExecution` that correlates with a unique
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`JobExecution`, as shown in the following image:
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.Job Hierarchy With Steps
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image::{batch-asciidoc}images/jobHeirarchyWithSteps.png[Figure 2.1: Job Hierarchy With Steps, scaledwidth="60%"]
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==== StepExecution
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A `StepExecution` represents a single attempt to execute a `Step`. A new `StepExecution`
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is created each time a `Step` is run, similar to `JobExecution`. However, if a step fails
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to execute because the step before it fails, no execution is persisted for it. A
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`StepExecution` is created only when its `Step` is actually started.
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`Step` executions are represented by objects of the `StepExecution` class. Each execution
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contains a reference to its corresponding step and `JobExecution` and transaction related
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data, such as commit and rollback counts and start and end times. Additionally, each step
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execution contains an `ExecutionContext`, which contains any data a developer needs to
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have persisted across batch runs, such as statistics or state information needed to
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restart. The following table lists the properties for `StepExecution`:
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.StepExecution Properties
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|===
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|Property|Definition
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|Status
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|A `BatchStatus` object that indicates the status of the execution. While running, the
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status is `BatchStatus.STARTED`. If it fails, the status is `BatchStatus.FAILED`. If it
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finishes successfully, the status is `BatchStatus.COMPLETED`.
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|startTime
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|A `java.util.Date` representing the current system time when the execution was started.
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This field is empty if the step has yet to start.
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|endTime
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|A `java.util.Date` representing the current system time when the execution finished,
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regardless of whether or not it was successful. This field is empty if the step has yet to
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exit.
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|exitStatus
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|The `ExitStatus` indicating the result of the execution. It is most important, because
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it contains an exit code that is returned to the caller. See chapter 5 for more details.
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This field is empty if the job has yet to exit.
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|executionContext
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|The "property bag" containing any user data that needs to be persisted between
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executions.
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|readCount
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|The number of items that have been successfully read.
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|writeCount
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|The number of items that have been successfully written.
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|commitCount
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|The number of transactions that have been committed for this execution.
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|rollbackCount
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|The number of times the business transaction controlled by the `Step` has been rolled
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back.
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|readSkipCount
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|The number of times `read` has failed, resulting in a skipped item.
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|processSkipCount
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|The number of times `process` has failed, resulting in a skipped item.
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|filterCount
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|The number of items that have been 'filtered' by the `ItemProcessor`.
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|writeSkipCount
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|The number of times `write` has failed, resulting in a skipped item.
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|===
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=== ExecutionContext
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An `ExecutionContext` represents a collection of key/value pairs that are persisted and
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controlled by the framework in order to allow developers a place to store persistent
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state that is scoped to a `StepExecution` object or a `JobExecution` object. For those
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familiar with Quartz, it is very similar to JobDataMap. The best usage example is to
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facilitate restart. Using flat file input as an example, while processing individual
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lines, the framework periodically persists the `ExecutionContext` at commit points. Doing
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so allows the `ItemReader` to store its state in case a fatal error occurs during the run
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or even if the power goes out. All that is needed is to put the current number of lines
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read into the context, as shown in the following example, and the framework will do the
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rest:
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[source, java]
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----
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executionContext.putLong(getKey(LINES_READ_COUNT), reader.getPosition());
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----
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Using the EndOfDay example from the `Job` Stereotypes section as an example, assume there
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is one step, 'loadData', that loads a file into the database. After the first failed run,
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the metadata tables would look like the following example:
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.BATCH_JOB_INSTANCE
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|===
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|JOB_INST_ID|JOB_NAME
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|1
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|EndOfDayJob
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|===
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.BATCH_JOB_EXECUTION_PARAMS
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|===
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|JOB_INST_ID|TYPE_CD|KEY_NAME|DATE_VAL
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|1
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|DATE
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|schedule.Date
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|2017-01-01
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|===
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.BATCH_JOB_EXECUTION
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|===
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|JOB_EXEC_ID|JOB_INST_ID|START_TIME|END_TIME|STATUS
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|1
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|1
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|2017-01-01 21:00
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|2017-01-01 21:30
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|FAILED
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|===
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.BATCH_STEP_EXECUTION
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|===
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|STEP_EXEC_ID|JOB_EXEC_ID|STEP_NAME|START_TIME|END_TIME|STATUS
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|1
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|1
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|loadData
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|2017-01-01 21:00
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|2017-01-01 21:30
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|FAILED
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|===
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.BATCH_STEP_EXECUTION_CONTEXT
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|===
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|STEP_EXEC_ID|SHORT_CONTEXT
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|1
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|{piece.count=40321}
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|===
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In the preceding case, the `Step` ran for 30 minutes and processed 40,321 'pieces', which
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would represent lines in a file in this scenario. This value is updated just before each
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commit by the framework and can contain multiple rows corresponding to entries within the
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`ExecutionContext`. Being notified before a commit requires one of the various
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`StepListener` implementations (or an `ItemStream`), which are discussed in more detail
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later in this guide. As with the previous example, it is assumed that the `Job` is
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restarted the next day. When it is restarted, the values from the `ExecutionContext` of
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the last run are reconstituted from the database. When the `ItemReader` is opened, it can
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check to see if it has any stored state in the context and initialize itself from there,
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as shown in the following example:
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[source, java]
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----
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if (executionContext.containsKey(getKey(LINES_READ_COUNT))) {
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log.debug("Initializing for restart. Restart data is: " + executionContext);
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long lineCount = executionContext.getLong(getKey(LINES_READ_COUNT));
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LineReader reader = getReader();
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Object record = "";
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while (reader.getPosition() < lineCount && record != null) {
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record = readLine();
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}
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}
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----
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In this case, after the above code runs, the current line is 40,322, allowing the `Step`
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to start again from where it left off. The `ExecutionContext` can also be used for
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statistics that need to be persisted about the run itself. For example, if a flat file
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contains orders for processing that exist across multiple lines, it may be necessary to
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store how many orders have been processed (which is much different from the number of
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lines read), so that an email can be sent at the end of the `Step` with the total number
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of orders processed in the body. The framework handles storing this for the developer, in
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order to correctly scope it with an individual `JobInstance`. It can be very difficult to
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know whether an existing `ExecutionContext` should be used or not. For example, using the
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'EndOfDay' example from above, when the 01-01 run starts again for the second time, the
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framework recognizes that it is the same `JobInstance` and on an individual `Step` basis,
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pulls the `ExecutionContext` out of the database, and hands it (as part of the
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`StepExecution`) to the `Step` itself. Conversely, for the 01-02 run, the framework
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recognizes that it is a different instance, so an empty context must be handed to the
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`Step`. There are many of these types of determinations that the framework makes for the
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developer, to ensure the state is given to them at the correct time. It is also important
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to note that exactly one `ExecutionContext` exists per `StepExecution` at any given time.
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Clients of the `ExecutionContext` should be careful, because this creates a shared
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keyspace. As a result, care should be taken when putting values in to ensure no data is
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overwritten. However, the `Step` stores absolutely no data in the context, so there is no
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way to adversely affect the framework.
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It is also important to note that there is at least one `ExecutionContext` per
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`JobExecution` and one for every `StepExecution`. For example, consider the following
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code snippet:
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[source, java]
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----
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ExecutionContext ecStep = stepExecution.getExecutionContext();
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ExecutionContext ecJob = jobExecution.getExecutionContext();
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//ecStep does not equal ecJob
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----
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As noted in the comment, `ecStep` does not equal `ecJob`. They are two different
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`ExecutionContexts`. The one scoped to the `Step` is saved at every commit point in the
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`Step`, whereas the one scoped to the Job is saved in between every `Step` execution.
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=== JobRepository
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`JobRepository` is the persistence mechanism for all of the Stereotypes mentioned above.
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It provides CRUD operations for `JobLauncher`, `Job`, and `Step` implementations. When a
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`Job` is first launched, a `JobExecution` is obtained from the repository, and, during
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the course of execution, `StepExecution` and `JobExecution` implementations are persisted
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by passing them to the repository.
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[role="xmlContent"]
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The batch namespace provides support for configuring a `JobRepository` instance with the
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`<job-repository>` tag, as shown in the following example:
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[source, xml, role="xmlContent"]
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----
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<job-repository id="jobRepository"/>
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----
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[role="javaContent"]
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When using java configuration, `@EnableBatchProcessing` annotation provides a
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`JobRepository` as one of the components automatically configured out of the box.
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=== JobLauncher
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`JobLauncher` represents a simple interface for launching a `Job` with a given set of
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`JobParameters`, as shown in the following example:
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[source, java]
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----
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public interface JobLauncher {
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public JobExecution run(Job job, JobParameters jobParameters)
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throws JobExecutionAlreadyRunningException, JobRestartException,
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JobInstanceAlreadyCompleteException, JobParametersInvalidException;
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}
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----
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It is expected that implementations obtain a valid `JobExecution` from the
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`JobRepository` and execute the `Job`.
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=== Item Reader
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`ItemReader` is an abstraction that represents the retrieval of input for a `Step`, one
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item at a time. When the `ItemReader` has exhausted the items it can provide, it
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indicates this by returning `null`. More details about the `ItemReader` interface and its
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various implementations can be found in
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<<readersAndWriters.adoc#readersAndWriters,Readers And Writers>>.
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=== Item Writer
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`ItemWriter` is an abstraction that represents the output of a `Step`, one batch or chunk
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of items at a time. Generally, an `ItemWriter` has no knowledge of the input it should
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receive next and knows only the item that was passed in its current invocation. More
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details about the `ItemWriter` interface and its various implementations can be found in
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<<readersAndWriters.adoc#readersAndWriters,Readers And Writers>>.
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=== Item Processor
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`ItemProcessor` is an abstraction that represents the business processing of an item.
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While the `ItemReader` reads one item, and the `ItemWriter` writes them, the
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`ItemProcessor` provides an access point to transform or apply other business processing.
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If, while processing the item, it is determined that the item is not valid, returning
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`null` indicates that the item should not be written out. More details about the
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`ItemProcessor` interface can be found in
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<<readersAndWriters.adoc#readersAndWriters,Readers And Writers>>.
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[role="xmlContent"]
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=== Batch Namespace
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Many of the domain concepts listed previously need to be configured in a Spring
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`ApplicationContext`. While there are implementations of the interfaces above that can be
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used in a standard bean definition, a namespace has been provided for ease of
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configuration, as shown in the following example:
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[source, xml, role="xmlContent"]
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----
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<beans:beans xmlns="http://www.springframework.org/schema/batch"
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xmlns:beans="http://www.springframework.org/schema/beans"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="
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http://www.springframework.org/schema/beans
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https://www.springframework.org/schema/beans/spring-beans.xsd
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http://www.springframework.org/schema/batch
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https://www.springframework.org/schema/batch/spring-batch.xsd">
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<job id="ioSampleJob">
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<step id="step1">
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<tasklet>
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<chunk reader="itemReader" writer="itemWriter" commit-interval="2"/>
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</tasklet>
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</step>
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</job>
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</beans:beans>
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----
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[role="xmlContent"]
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As long as the batch namespace has been declared, any of its elements can be used. More
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information on configuring a Job can be found in <<job.adoc#configureJob,Configuring and
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Running a Job>>. More information on configuring a `Step` can be found in
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<<step.adoc#configureStep,Configuring a Step>>.
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