Description of the application to be created

Background

Some mass retail stores issue point cards for members.
Membership types include "Gold member", "Normal member" and the services are provided based on the membership types.
As a part of the service, 100 points are added for "gold members" and 10 points are added for "normal members" at the end of the month, for the members who have purchased a product during that month.

Process overview

TERASOLUNA Batch 5.x will be using an application as a monthly batch process which adds points based on membership type.

Business specifications

Business specifications are as shown below.

"Members who have purchased a product within the month" are indicated by "product purchasing" flag
- Product purchasing flag "0" indicates initial state whereas "1" indicates processing target
When Product purchasing flag is "1"(processing target), points are added according to membership type
- Add 100 points when membership type is "G"(gold member) and add 10 points when membership type is "N"(Normal member)
Product purchasing flag is updated to "0" (initial state) after adding points
Upper limit for the points is 1,000,000 points
If the points exceed 1,000,000 points after adding the points, they are adjusted to 1,000,000 points

Learning contents

We will learn about various functions and processing methods related to jobs by creating applications for simple business specifications.
Note that jobs implement tasklet model and chunk model respectively.
The main learning in each job is the functions and processing methods used in the job are shown below.

Jobs created in this tutorial
Sr. No.	Jobs	Contents learnt
A	A job that inputs/outputs data by accessing a database	Learn about database access method which use ItemReader and ItemWriter for MyBatis.
B	A job that inputs/outputs data by accessing a file	Learn about file access method which use ItemReader and ItemWriter for input and output of a flat file.
C	A job that validates input data	Learn input check methods using Bean Validation.
D	A job that performs exception handling by ChunkListener	Learn exception handling methods which use ChunkListener as a listener.
E	A job which performs exception handling by try-catch	Learn exception handling and skipping which use try-catch, and a method which outputs customised exit codes.
F	Asynchronous execution type job	Learn the methods of asynchronous execution which use DB polling function offered by TERASOLUNA Batch 5.x.

Correspondence table for Functions and processing methods used in A~F jobs, and explanation of TERASOLUNA Batch 5.x Development guideline is shown as below.

Correspondence table for A~F jobs and TERASOLUNA Batch 5.x Development guideline explanation
Sr. No.	Functions	A	B	C	D	E	F
1	Start job > Activation method > Synchronous execution	Chunk Tasklet	Chunk Tasklet	Chunk Tasklet	Chunk Tasklet	Chunk Tasklet
2	Start job > Activation method > Asynchronous execution (DB polling)						Chunk Tasklet
3	Start job > Start-up parameters of job > Assign from command line argument		Chunk Tasklet
4	Start job > Listener				Chunk Tasklet	Chunk Tasklet
5	Data input/output > Transaction control > Transaction control in Spring Batch	Chunk Tasklet
6	Data input/output > Transaction control > Single data source > Implementing transaction control	Chunk Tasklet
7	Data input/output > Database access > Database access in ItemReader	Chunk
8	Data input/output > Database access > Database access in ItemWriter	Chunk
9	Application development flow > Create Tasklet model job > Tasklet implementation which use components of chunk model	Tasklet
10	Data input/output > File access > Variable length record > Input		Chunk Tasklet
11	Data input/output > File access > Variable length record > Output		Chunk Tasklet
12	Handling abnormalities > Input check			Chunk Tasklet		Chunk Tasklet
13	Handling abnormalities > Exception handling > Step unit exception handling > Exception handling by using ChunkListener interface				Chunk Tasklet
14	Handling abnormalities > Exception handling > Step unit exception handling > Exception handling in chunk model					Chunk
15	Handling abnormalities > Exception handling > Step unit exception handling > Exception handling in tasklet model					Tasklet
16	Handling abnormalities > Exception handling > Determine whether to continue processing > Skip					Chunk Tasklet
17	Job management > Job status management > Verify job status and execution results						Chunk Tasklet
18	Job management > Customize exit code					Chunk Tasklet
19	Job management > Logging				Chunk Tasklet	Chunk Tasklet
20	Job management > Message management				Chunk Tasklet	Chunk Tasklet