25 October 2018

SQL Reloaded: Cursor and Linked Server for Data Import

There are times when is needed to pull some data (repeatedly) from one or more databases for analysis and SSIS is not available or there’s not much time to create individual packages via data imports. In such scenarios is needed to rely on the use of SQL Server Engine’s built-in support. In this case the data can be easily imported via a linked server into ad-hoc created tables in a local database. In fact, the process can be partially automated with the use of a cursor that iterates through a predefined set of tables.For exemplification I will use a SELECT instead of an EXEC just to render the results:

-- cleaning up
-- DROP TABLE dbo.LoadTables 

-- defining the scope
SELECT *
INTO dbo.LoadTables
FROM (VALUES ('dbo.InventTable')
           , ('dbo.InventDimCombination')
    , ('dbo.InventDim')
    , ('dbo.InventItemLocation')) DAT ([Table])


-- creating the stored procedure 
CREATE PROCEDURE dbo.pLoadData(
    @Table as nvarchar(50))
AS
/* loads the set of tables defiend in dbo.LoadTables */
BEGIN
   DECLARE @cTable varchar(50)

   -- creating the cursor
   DECLARE TableList CURSOR FOR
   SELECT [Table]
   FROM dbo.LoadTables
   WHERE [Table] = IsNull(@Table, [Table])
   ORDER BY [Table]

   -- opening the cursor
   OPEN TableList 

   -- fetching next record 
   FETCH NEXT FROM TableList
   INTO @cTable

   -- looping through each record 
   WHILE @@FETCH_STATUS = 0 
   BEGIN
 --- preparing the DROP TABLE statement 
        SELECT(' DROP TABLE IF EXISTS ' + @cTable + '')

        -- preparing the SELECT INTO STATEMENT
        SELECT( ' SELECT *' +
         ' INTO ' + @cTable +
                ' FROM [server].[database].[' + @cTable + ']')

 -- fetching next record 
 FETCH NEXT FROM TableList
 INTO @cTable
   END

   --closing the cursor
   CLOSE TableList 
   -- deallocating the cursor
   DEALLOCATE TableList 
END

Running the stored procedure for all the tables:

 -- Testing the procedure 
 EXEC dbo.pLoadData NULL -- loading all tables 

-- output 
 DROP TABLE IF EXISTS dbo.InventDim
 SELECT * INTO dbo.InventDim FROM [server].[database].[dbo.InventDim]

 DROP TABLE IF EXISTS dbo.InventDimCombination
 SELECT * INTO dbo.InventDimCombination FROM [server].[database].[dbo.InventDimCombination]

 DROP TABLE IF EXISTS dbo.InventItemLocation
 SELECT * INTO dbo.InventItemLocation FROM [server].[database].[dbo.InventItemLocation]

 DROP TABLE IF EXISTS dbo.InventTable
 SELECT * INTO dbo.InventTable FROM [server].[database].[dbo.InventTable]

Running the stored procedure for a specific table:

-- Testing the procedure 
EXEC dbo.pLoadData 'dbo.InventTable' -- loading a specific table

-- output 
DROP TABLE IF EXISTS dbo.InventTable
SELECT * INTO dbo.InventTable FROM [server].[database].[dbo.InventTable]

Notes:
Having an old example of using a cursor (see Cursor and Lists)  the whole mechanism for loading the data was available in 30 Minutes or so.
Tables can be added or removed after need, and the loading can be made more flexible by adding other parameters to the logic.
The solution is really easy to use and the performance is as well acceptable in comparison to SSIS packages.
Probably you already observed the use of DROP TABLE IF EXSISTS introduced with SQL Server 2016 (see also post)

Advantages:The stored procedure can be extended to any database for which can be created a linked server.
Structural changes of the source tables are reflected in each load.
Tables can be quickly updated when needed just by executing the stored procedure.

Disadvantages:
Such solutions are more for personal use and their use should be avoided in a production environment.
The metadata will be temporarily unavailable during the time the procedure is run. Indexes need to be created after each load.

Happy Coding!

No comments:

Related Posts Plugin for WordPress, Blogger...

About Me

My photo
Koeln, NRW, Germany
IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.