Misc updates based on feedback.
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@@ -143,7 +143,8 @@
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</imageobject>
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<imageobject role="fo">
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<imagedata align="center" fileref="src/site/resources/reference/images/job-heirarchy.png" />
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<imagedata align="center"
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fileref="src/site/resources/reference/images/job-heirarchy.png" />
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</imageobject>
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</mediaobject>
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@@ -210,8 +211,21 @@
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meaning the January 1st run processes data for January 1st, etc) That is
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to say, each <classname>JobInstance</classname> can have multiple
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executions. (<classname>JobExecution</classname> is discussed in more
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detail below) and only one instance can be running at a given
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time.</para>
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detail below) and only one instance can be running at a given time. The
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definition of a <classname>JobInstance</classname> has absolutely no
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bearing on the data the will be loaded. It is entirely up to the
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<classname>ItemReader</classname> implementation used to determine how
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data will be loaded. For example, in the EndOfDay scenario, there may be
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a column on the data that indicates the 'effective date' or 'schedule
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date' to which the data belongs. So, the January 1st run would only load
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data from the 1st, and the January 2nd run would only use data from the
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2nd. Because this determination will likely be a business decision, it
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is left up to the <classname>ItemReader</classname> to decide. What
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using the same JobInstance will decide, however, is whether or not the
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'state' (i.e. the ExecutionContext, which is discussed below) will be
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used. Using a new instace will mean 'start from the beginning' and using
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an existing instance will generally mean 'start from where you left
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off'.</para>
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</section>
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<section>
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@@ -393,9 +407,15 @@
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will be kicked off again for 01-01, starting where it left off and
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completing successfully at 9:30. Because it's now the next day, the
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01-02 job must be run as well, which is kicked off just afterwards at
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9:31, and completes in it's normal one hour time at 10:30. There should
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now be an extra entry in both the job instance and job parameters table,
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and two extra entries in the job execution table:</para>
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9:31, and completes in it's normal one hour time at 10:30. There is no
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requirement that one be kicked off after another, unless there is
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potential for the two jobs to attempt to access the same data, causing
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issues with locking at the database level. It is entirely up to the
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scheduler to determine when to run. Since they're separate JobInstances,
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Spring Batch will make no attempt to stop them from being run
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concurrently. There should now be an extra entry in both the job
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instance and job parameters table, and two extra entries in the job
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execution table:</para>
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<table>
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<title>BATCH_JOB_INSTANCE</title>
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