Has you may know, EnsDemo from Ensemble are not available anymore on IRIS.

This is a good thing, Iris is cloud oriented, it must be light, fast. Now the new way of sharing samples or modules is through git, continuous integration and OpenExchange.

But, in some cases you want to go back to your good old samples from EnsDemo to get inspiration or best practices.

Good news, there is a git for that :

+ 1   1 1
119

views

+ 1

rating

IRIS and Ensemble are designed to act as an ESB/EAI. This mean they are build to process lots of small messages.

But some times, in real life we have to use them as ETL. The down side is not that they can't do so, but it can take a long time to process millions of row at once.

To improve performance, I have created a new SQLOutboundAdaptor who only works with JDBC.

BatchSqlOutboundAdapter

Extend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection.

0   1 1
0

comments

200

views

0

rating

Hi,
We recover a large amount of data from an external database (SQLServer, about 1 million rows in JDBC).
However, we have treatment time issue.
This process takes more than 30 minutes whereas on a "classic" SQL Server Management Studio type request takes less than a minute.

Last answer 20 September 2018 Last comment 18 April 2019
0   1 5
237

views

0

rating