SQL Server Integration Services does not provide native SFTP, encryption or archiving task components. This article presents a set of open source custom task components that provides these functions.
2014-03-13
8,611 reads
2014-03-05
2,284 reads
This script is an example of how to use Sequence, similar to Identity.
2014-03-24 (first published: 2014-02-25)
1,353 reads
If you have a number of SQL Server instances with versions ranging from 2005 upwards, with a whole host of databases, and you want to be alerted about a number of diverse events that are useful for first-line problem-diagnosis and auditing, then Feodor's homebrew solution, using SSIS and Robocopy is likely to be what you're looking for.
2014-02-17
5,089 reads
Excel spreadsheets are useful for distributing data generated by SQL Server. EPPlus is an open source .NET library that reads/writes Excel 2007/2010 files using the Open Office XML format (XLSX). It is a mature project, and plays well with SSIS.
2016-01-22 (first published: 2014-02-11)
19,784 reads
SQL Server 2012 introduced the new project deployment model for Integration Services. This tip will guide you through the process of setting up security for the SSIS 2012 catalog.
2014-01-27
3,027 reads
2013-12-04
1,640 reads
2013-11-20
2,054 reads
This article includes an examination of how I improved update performance. We examine four methods of loading data into a data warehouse.
2013-10-31
9,604 reads
SSIS is able to take sorted data from more than one OLE DB data source and merge them into one table which can then be sent to an OLE DB destination. This 'Merge Join' transformation works in a similar way to a SQL join by specifying a 'join key' relationship. this transformation can save a great deal of processing on the destination. Annette Allen, as usual, gives clear guidance on how to do it.
2013-10-28
4,491 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
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We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers