一些通过SAP ABAP代码审查得出的ABAP编程最佳实践

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某种法子和直接用SELECT相比,能显著减少内存消耗量。

定义另一一兩个多多ABAP函数:

In product / IObject area, the best practice is to use OPEN CURSOR / FETCH NEXT CURSOR to access big DB table.

注意第二种方案使用STARTING NEW TASK达到的并发执行效果:

通过下面这段代码模拟另一一兩个多多费时的ABAP系统进程:

2. The more number of ZINSERT call, the better performance will be gained by using parallel

processing.

The original dump due to out of memory issue could be eliminated by replace SELECT with OPEN CURSOR statement.

Improvement: use DELETE XXX WHERE product_id NOT IN . It is more efficient when lt_srv_bom_file has a huge number of records. See comparison below ( unit: second )

2. Handle with each line directly without evaluate file path in the BIG loop.

1. Open the file in application server

It is an expensive operation to open a file in application server with 60 MB file size.

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 .

1. 这另一一兩个多多IF ELSE分支里检测的条件觉得逻辑上来说都是同一类,应该合并到另一一兩个多多IF分支里进行检查:

1. Check the file path whether it is IPG or MIDH or TPG related. If not, quit the report.

因为需要用ABAP OPEN SQL读取一张暗含 海量记录的数据库表,没法推荐使用OPEN CURSOR进行分块读取。

通过比较,第二种防止方案的强度是第某种的四倍。

调用某种函数的代码:

某种函数里执行一大堆计算,怎么让把传入的product ID写到一张自定义表ZJERRY1里。

parallel processing (Asynchronous RFC call).

Current logic is:

2. Read the file content line by line

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 correct logic should be:

1. The more CPU & DB time spent in ZINSERT, the better performance will be gained by using

3. If the file is regarding IPG or MIDH or TPG, handle with each line separately

这是另一一兩个多多性能大问题。使用ABAP原生支持的NOT IN关键字都需要获得更好的性能。性能评测如下: