1. 這兩個IF ELSE分支裡檢測的條件其實邏輯上來說都是同一類，應該合併到一個IF分支裡進行檢查：

It is an expensive operation to open a file in application server with 50MB file size.

Current logic is:

1. Open the file in application server

2. Read the file content line by line

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

The correct logic should be:

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

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

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 .

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 )

這是一個效能問題。使用ABAP原生支援的NOT IN關鍵字可以獲得更好的效能。效能評測如下：

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.

如果需要用ABAP OPEN SQL讀取一張包含海量記錄的資料庫表，那麼推薦使用OPEN CURSOR進行分塊讀取。

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.

這種方式和直接用SELECT相比，能顯著減少記憶體消耗量。

使用併發程式設計提高應用程式場景

通過下面這段程式碼模擬一個費時的ABAP程式：

定義一個ABAP函式：

這個函式裡執行一大堆計算，然後把傳入的product ID寫到一張自定義表ZJERRY1裡。

呼叫這個函式的程式碼：

注意第二種方案使用STARTING NEW TASK達到的併發執行效果：

通過比較，第二種解決方案的效率是第一種的四倍。

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.