Assuming that you are using JDBC for putting data into any ACID compliant database (MSSQL, Sybase, Oracle etc), you are implicitly or explicitly  adding BEGIN TRAN to INSERT statement in a distributed transaction. MSSQL does not know or care where data is coming from. If your connection completes OK a COMMIT TRAN will be sent and that will tell MSQL to commit transaction. If yoy kill Spark transaction before MSSQL receive COMMIT TRAN, the transaction will be rolled back.

The only option is that if you don't care about full data getting to MSSQL,to break your insert into chunks at source and send data to MSSQL in small batches. In that way you will not lose all data in MSSQL because of rollback.

HTH

Dr Mich Talebzadeh

 

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On 20 April 2016 at 07:33, Mich Talebzadeh <mich.talebzadeh@gmail.com> wrote:
Are you using JDBC to push data to MSSQL?


On 19 April 2016 at 23:41, Andrés Ivaldi <iaivaldi@gmail.com> wrote:
I mean local transaction, We've ran a Job that writes into SQLServer then we killed spark JVM just for testing purpose and we realized that SQLServer did a rollback.

Regards

On Tue, Apr 19, 2016 at 5:27 PM, Mich Talebzadeh <mich.talebzadeh@gmail.com> wrote:
Hi,

What do you mean by *without transaction*? do you mean forcing SQL Server to accept a non logged operation?


On 19 April 2016 at 21:18, Andrés Ivaldi <iaivaldi@gmail.com> wrote:
Hello, is possible to execute a SQL write without Transaction? we dont need transactions to save our data and this adds an overhead to the SQLServer.

Regards.

--
Ing. Ivaldi Andres




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Ing. Ivaldi Andres