1. 这两个IF ELSE分支里检测的条件其实逻辑上来讲都是同一类，应该合并到一个IF分支里进行检查：数据库
It is an expensive operation to open a file in application server with 50MB file size.编程
Current logic is:并发
1. Open the file in application serverapp
2. Read the file content line by lineless
3. If the file is regarding IPG or MIDH or TPG, handle with each line separately函数
The correct logic should be:oop
1. Check the file path whether it is IPG or MIDH or TPG related. If not, quit the report.性能
2. Handle with each line directly without evaluate file path in the BIG loop.fetch
The validation logic for input records should be improved
Loop at all service BOM, check whether the ID in current loop does exist in validation table lt_valid_prod or lt_valid_sp. If so, delete them via DELETE TABLE XXX FROM <current line>.ui
Improvement: use DELETE XXX WHERE product_id NOT IN <range table>. It is more efficient when lt_srv_bom_file has a huge number of records. See comparison below ( unit: second )
这是一个性能问题。使用ABAP原生支持的NOT IN关键字能够得到更好的性能。性能评测以下：
Avoid using SELECT to access table with a large number of entries
In product / IObject area, the best practice is to use OPEN CURSOR / FETCH NEXT CURSOR to access big DB table.
若是须要用ABAP OPEN SQL读取一张包含海量记录的数据库表，那么推荐使用OPEN CURSOR进行分块读取。
Although this solution will spend almost the same time to fetch the data from DB, it has far less memory consumption compared with using SELECT to fetch ALL data from DB at one time.
The original dump due to out of memory issue could be eliminated by replace SELECT with OPEN CURSOR statement.
这种方式和直接用SELECT相比，能显著减小内存消耗量。
使用并发编程提升应用程序场景
经过下面这段代码模拟一个费时的ABAP程序：
定义一个ABAP函数：
这个函数里执行一大堆计算，而后把传入的product ID写到一张自定义表ZJERRY1里。
调用这个函数的代码：
注意第二种方案使用STARTING NEW TASK达到的并发执行效果：
经过比较，第二种解决方案的效率是第一种的四倍。
1. The more CPU & DB time spent in ZINSERT, the better performance will be gained by using
parallel processing (Asynchronous RFC call).
2. The more number of ZINSERT call, the better performance will be gained by using parallel
processing.
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