Hi All,
First of all, I apologize for a vague subject line as I could not think of anything better.
Coming to my problem, I'm trying to understand the inverse = "true/false" attribute being used in bidirectional 1-M and M-M associations as given in the
link with a slight modifications.
I have Stock.hbm.xml as below
StockRecordDaily.hbm.xml as below
as you noticed, I did not use not-null = true in the definition, as I want to create an association at a later point, not while inserting the records, which otherwise would fail due to null constraint.
Now, I populated both STOCK and STOCKDAILYRECORD table with one record each and now trying to associate them as below
This ran fine, but I noticed the following SQL being generated by Hibernate
I did load the Stock object first and then the StockDailyRecord, but the first SQL is SELECT FROM STOCKDAILYRECORD. Not sure, if the order load has any impact on SQL being executed. if Yes, not sure in this case, it is reversed. Any explanation is appreciated and why STOCK_ID is selected twice as stockrecor0_.STOCK_ID as STOCK7_3_1_, and stockrecor0_.STOCK_ID as STOCK7_4_0_ . What is the purpose of SELECTING same column twice.
Third, I understood the last update, as that is my basic requirement, updating STOCKDAILYRECORD with STOCK_ID which is the result of stock.getStockRecords().add(record); and I do not expect an update of STOCK in response to record.setStock(stock); (As STOCK table will not have any COLUMN to hold Stock Record anyway).
But what is the purpose of Fourth update, where it is updating open price, close price, pricechange, date etc. Those values were already available for StockDailyRecord object. Why the update again and what is it going to achieve. This statement seem to be unnecessary to me. But why Hibernate choose to have this executed.
Could some one explain me these issues and why it is happening.
Thanks
Secondly, once the StockDailyRecord is loaded through first SQL, I did not understand why another SQL SELECT is issued again on STOCKDAILYRECORD through third SQL