Parallel processing of Jobs in Java

Question

Hi Sun forum Experts,
we are facing a problem in parallel processing of jobs in java,The jdk version used is 1.4.
Find the issue analysis as below
Assume we have TABLE1 as below:  
1st job completed running and updates the status to OK by running an update query (so STATUS in TABLE1 is OK )---> 1st row  
2nd job is still running and is in IN (Status in Table) ---> 2nd row  
3rd job is still running and is in IN (Status in Table) ---> 3rd row  
4th job is still running and is in IN (Status in Table) ---> 4th row  
In the meanwhile, the First job has completed the job and hence  status is "OK" now. now we are calling another update query which updates another column in another table(TABLE2) in database.  
The query is " Update TABLE2 set STATUS="OK" where INIT_NO='123456789' AND NOT EXISTS(SELECT COUNT(*) FROM  TABLE1 WHERE STATUS in('IN','RE'))  
Hence the subquery is returning 3 rows as count for the inner query execution which skips the updation of the TABLE2.
{code}
*The problem is we want all the 4 jobs to be completed first with respect to TABLE1(running a update query)   & Once this is done we need to update another column in another table(TABLE2) in database.*
i.e as shown below
{code}
public void execute(){  
             dao.updateTable1(); // calls Table1 and updates it to OK. --> This has to be performed for n number for jobs.Finish all job completion and then proceed below.  
            //Once UpdateTable1 is completed ,after this we perform the below step  
            dao.updateTable2(); //calls Table2 and updates it to OK    
{code}
how do we handle this scenario in Java,
Please Note:Version in java is used is 1.4 only
Deepak                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   

Answer 1

yes sir,you are absolutely correct.
We run 4 jobs to update table1, wait for them all to complete, then update table2   can you please tell me how do we achieve this in java,
Please note:JDK version is 1.4 which we are using.
Thanks
Deepak
Edited by: Deepak_A_L on Jun 25, 2009 12:58 AM