on 02-10-2010 8:55 PM
Hi,
I have a transaction which has many SQL queries.
When I execute this transaction, after a long time i get the below error :
Error executing transaction: java.net.SocketTimeoutException: Read timed out
Initially the Row Count in each of the query templates was set to : 100
I again changed the Row Count to: 10000 but still I get the same error.
The 'Response TimeOut(Seconds)' for all the SQL Query blocks in the Transaction is set to : 50000
Please help me out solve this error.
Thanks,
Sid
Most likely the workbench is timing out, an easy way to determine this is by running the transaction using runner which the transaction will not time out but any queries would
Jamie
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Hi,
The transaction runs without any error when executed from the browser using the url http://<server>/Lighthammer/Runner?LogType= TRACEDEBUG & Transaction = </transactionPath/>
I am using xMII 11.5.
The SQL Queries just use the select statements.
In one of the forums I have read that the timeout by default is set to 5 mins in Globals --> Properties.
But in Logic Editor--> Globals --> Properties, I dont find properties name for the timeout setting.
Is there anywhere that I need to change my default settings to avoid the timeout of transaction?
Regards,
Sid
What version and build number of MII?
If you don't think it's the queries, since RowCount doesn't seem to impact anything, then perhaps it is the overall transaction that is timing out.
There are a few threads here in the forum that you can search wiith some settings at the NetWeaver configuration level for http related timeouts.
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Hi,
I don't think this much row count is needed for sql query ie. too for all sql query action blocks. And not necessary to increase the timeout.
You can use Tracer action block below the sql action block to debug where exactly the problem is arising.
It also might be the case of a networking issue.
-Suresh
Edited by: Suresh Hiremath on Feb 11, 2010 1:14 PM
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Hi,
What type of Query are you using?. Meaning Select or Insert or Update query statement?
Below are the suggested Query Optimization Techniques
1.You can use Query tuning methods to fine tune the queries.
2.add inner join or outer join operations to retrieve details faster.
3.Use Cursor and fetch records.
4.Use Indexing or Hashing techniques.
Thanks
Rajesh.S
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