Polish 1eed5a30c3
* Fix section levels * Fix typos in code examples * Minor updates
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@@ -17,9 +17,9 @@ of the Batch domain language.
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administration.
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<<step.adoc#configureStep,Configuring a Step>> :: Step configuration, different types of steps,
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controlling step flow.
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<<readersAndWriters.adoc#readersAndWriters,ItemReaders and ItemWriters>> :: Item readers
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and writers interfaces and how to use them.
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<<processor.adoc#processor,ItemProcessor>> :: Item processor interface and how to use it.
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<<readersAndWriters.adoc#readersAndWriters,Item reading and writing>> :: `ItemReader`
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and `ItemWriter` interfaces and how to use them.
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<<processor.adoc#itemProcessor,Item processing>> :: `ItemProcessor` interface and how to use it.
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<<scalability.adoc#scalability,Scaling and Parallel Processing>> :: Multi-threaded steps,
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parallel steps, remote chunking and partitioning.
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<<repeat.adoc#repeat,Repeat>> :: Completion policies and exception handling of repetitive actions.
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@@ -2,14 +2,14 @@
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:toc: left
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:toclevels: 4
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[[processor]]
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== ItemProcessor
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[[itemProcessor]]
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== Item processing
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ifndef::onlyonetoggle[]
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include::toggle.adoc[]
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endif::onlyonetoggle[]
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The `ItemReader` and `ItemWriter` interfaces are both very useful for their specific
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The <<readersAndWriters.adoc#readersAndWriters,ItemReader and ItemWriter interfaces>> are both very useful for their specific
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tasks, but what if you want to insert business logic before writing? One option for both
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reading and writing is to use the composite pattern: Create an `ItemWriter` that contains
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another `ItemWriter` or an `ItemReader` that contains another `ItemReader`. The following
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@@ -117,7 +117,7 @@ public Job ioSampleJob() {
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@Bean
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public Step step1() {
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return this.stepBuilderFactory.get("step1")
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.<String, String>chunk(2)
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.<Foo, Bar>chunk(2)
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.reader(fooReader())
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.processor(fooProcessor())
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.writer(barWriter())
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@@ -129,7 +129,7 @@ A difference between `ItemProcessor` and `ItemReader` or `ItemWriter` is that an
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is optional for a `Step`.
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[[chainingItemProcessors]]
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==== Chaining ItemProcessors
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=== Chaining ItemProcessors
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Performing a single transformation is useful in many scenarios, but what if you want to
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'chain' together multiple `ItemProcessor` implementations? This can be accomplished using
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@@ -223,7 +223,7 @@ public Job ioSampleJob() {
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@Bean
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public Step step1() {
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return this.stepBuilderFactory.get("step1")
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.<String, String>chunk(2)
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.<Foo, Foobar>chunk(2)
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.reader(fooReader())
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.processor(compositeProcessor())
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.writer(foobarWriter())
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@@ -245,7 +245,7 @@ public CompositeItemProcessor compositeProcessor() {
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----
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[[filteringRecords]]
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==== Filtering Records
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=== Filtering Records
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One typical use for an item processor is to filter out records before they are passed to
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the `ItemWriter`. Filtering is an action distinct from skipping. Skipping indicates that
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@@ -265,7 +265,7 @@ the `ItemWriter`. As usual, an exception thrown from the `ItemProcessor` results
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skip.
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[[validatingInput]]
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==== Validating Input
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=== Validating Input
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In the <<readersAndWriters.adoc#readersAndWriters,ItemReaders and ItemWriters>> chapter, multiple approaches to parsing input have been
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discussed. Each major implementation throws an exception if it is not 'well-formed'. The
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@@ -369,7 +369,7 @@ public BeanValidatingItemProcessor<Person> beanValidatingItemProcessor() throws
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----
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[[faultTolerant]]
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==== Fault Tolerance
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=== Fault Tolerance
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When a chunk is rolled back, items that have been cached during reading may be
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reprocessed. If a step is configured to be fault tolerant (typically by using skip or
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